diff --git a/.ipynb_checkpoints/1_scraping_fbref-checkpoint.ipynb b/.ipynb_checkpoints/1_scraping_fbref-checkpoint.ipynb
index 346a548..7b85157 100644
--- a/.ipynb_checkpoints/1_scraping_fbref-checkpoint.ipynb
+++ b/.ipynb_checkpoints/1_scraping_fbref-checkpoint.ipynb
@@ -34,7 +34,7 @@
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 2,
"id": "ab920c85",
"metadata": {},
"outputs": [],
@@ -283,83 +283,107 @@
"
\n",
" \n",
" 0 \n",
+ " Francesco Acerbi \n",
+ " it ITA \n",
+ " DF \n",
+ " Inter \n",
+ " 35-223 \n",
+ " 1988 \n",
+ " 1.0 \n",
+ " 1.0 \n",
+ " 90.0 \n",
+ " 0.0 \n",
+ " ... \n",
+ " 2.0 \n",
+ " 1.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 4.0 \n",
+ " 3.0 \n",
+ " 0.0 \n",
+ " 100.0 \n",
+ " \n",
+ " \n",
+ " 1 \n",
" Michel Aebischer \n",
" ch SUI \n",
" MF \n",
" Bologna \n",
- " 26-246 \n",
+ " 26-258 \n",
" 1997 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 257.0 \n",
- " 0.0 \n",
- " ... \n",
" 4.0 \n",
- " 3.0 \n",
+ " 4.0 \n",
+ " 347.0 \n",
" 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 19.0 \n",
- " 2.0 \n",
- " 1.0 \n",
- " 66.7 \n",
- " \n",
- " \n",
- " 1 \n",
- " Luis Alberto \n",
- " es ESP \n",
- " MF \n",
- " Lazio \n",
- " 30-346 \n",
- " 1992 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
- " 1.0 \n",
" ... \n",
- " 2.0 \n",
- " 3.0 \n",
+ " 7.0 \n",
+ " 5.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 18.0 \n",
+ " 23.0 \n",
" 2.0 \n",
" 3.0 \n",
" 40.0 \n",
" \n",
" \n",
" 2 \n",
+ " Luis Alberto \n",
+ " es ESP \n",
+ " MF \n",
+ " Lazio \n",
+ " 30-358 \n",
+ " 1992 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 360.0 \n",
+ " 2.0 \n",
+ " ... \n",
+ " 3.0 \n",
+ " 5.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 24.0 \n",
+ " 2.0 \n",
+ " 4.0 \n",
+ " 33.3 \n",
+ " \n",
+ " \n",
+ " 3 \n",
" Pontus Almqvist \n",
" se SWE \n",
" FW \n",
" Lecce \n",
- " 24-061 \n",
+ " 24-073 \n",
" 1999 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 347.0 \n",
" 1.0 \n",
" ... \n",
- " 2.0 \n",
" 3.0 \n",
+ " 8.0 \n",
+ " 1.0 \n",
" 1.0 \n",
" 0.0 \n",
" 0.0 \n",
+ " 15.0 \n",
" 0.0 \n",
- " 10.0 \n",
- " 0.0 \n",
- " 2.0 \n",
+ " 3.0 \n",
" 0.0 \n",
" \n",
" \n",
- " 3 \n",
+ " 4 \n",
" Lorenzo Amatucci \n",
" it ITA \n",
" MF \n",
" Fiorentina \n",
- " 19-216 \n",
+ " 19-228 \n",
" 2004 \n",
" 1.0 \n",
" 0.0 \n",
@@ -378,30 +402,6 @@
" 0.0 \n",
" \n",
" \n",
- " 4 \n",
- " Bruno Amione \n",
- " ar ARG \n",
- " MF \n",
- " Hellas Verona \n",
- " 21-249 \n",
- " 2002 \n",
- " 1.0 \n",
- " 0.0 \n",
- " 2.0 \n",
- " 0.0 \n",
- " ... \n",
- " 1.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " \n",
- " \n",
" ... \n",
" ... \n",
" ... \n",
@@ -426,67 +426,67 @@
" ... \n",
" \n",
" \n",
- " 394 \n",
+ " 424 \n",
" Joshua Zirkzee \n",
" nl NED \n",
" FW \n",
" Bologna \n",
- " 22-110 \n",
+ " 22-122 \n",
" 2001 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 266.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 356.0 \n",
" 1.0 \n",
" ... \n",
- " 2.0 \n",
- " 0.0 \n",
+ " 3.0 \n",
+ " 1.0 \n",
" 1.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 10.0 \n",
- " 6.0 \n",
+ " 11.0 \n",
+ " 9.0 \n",
" 2.0 \n",
- " 75.0 \n",
+ " 81.8 \n",
" \n",
" \n",
- " 395 \n",
+ " 425 \n",
" Zito \n",
" ao ANG \n",
" FW \n",
" Cagliari \n",
- " 21-184 \n",
+ " 21-196 \n",
" 2002 \n",
+ " 4.0 \n",
" 3.0 \n",
- " 2.0 \n",
- " 207.0 \n",
+ " 297.0 \n",
" 1.0 \n",
" ... \n",
- " 2.0 \n",
+ " 3.0 \n",
+ " 8.0 \n",
+ " 5.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
" 6.0 \n",
- " 2.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 4.0 \n",
" 1.0 \n",
- " 4.0 \n",
- " 20.0 \n",
+ " 5.0 \n",
+ " 16.7 \n",
" \n",
" \n",
- " 396 \n",
+ " 426 \n",
" Nadir Zortea \n",
" it ITA \n",
" DF \n",
" Atalanta \n",
- " 24-082 \n",
+ " 24-094 \n",
" 1999 \n",
- " 2.0 \n",
+ " 3.0 \n",
" 0.0 \n",
- " 64.0 \n",
+ " 96.0 \n",
" 1.0 \n",
" ... \n",
- " 1.0 \n",
+ " 3.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
@@ -498,112 +498,112 @@
" 0.0 \n",
" \n",
" \n",
- " 397 \n",
+ " 427 \n",
" Milan Đurić \n",
" ba BIH \n",
" FW,MF \n",
" Hellas Verona \n",
- " 33-110 \n",
+ " 33-122 \n",
" 1990 \n",
- " 3.0 \n",
+ " 4.0 \n",
" 1.0 \n",
- " 123.0 \n",
+ " 152.0 \n",
" 0.0 \n",
" ... \n",
- " 6.0 \n",
- " 1.0 \n",
+ " 7.0 \n",
" 1.0 \n",
+ " 2.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
" 4.0 \n",
- " 16.0 \n",
- " 10.0 \n",
- " 61.5 \n",
+ " 21.0 \n",
+ " 14.0 \n",
+ " 60.0 \n",
" \n",
" \n",
- " 398 \n",
+ " 428 \n",
" Mateusz Łęgowski \n",
" pl POL \n",
- " MF,DF \n",
+ " MF \n",
" Salernitana \n",
- " 20-223 \n",
+ " 20-235 \n",
" 2003 \n",
- " 3.0 \n",
- " 1.0 \n",
- " 95.0 \n",
+ " 4.0 \n",
+ " 2.0 \n",
+ " 161.0 \n",
" 0.0 \n",
" ... \n",
" 3.0 \n",
- " 2.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 10.0 \n",
- " 2.0 \n",
" 3.0 \n",
- " 40.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 14.0 \n",
+ " 4.0 \n",
+ " 5.0 \n",
+ " 44.4 \n",
" \n",
" \n",
"\n",
- "399 rows × 115 columns
\n",
+ "429 rows × 115 columns
\n",
""
],
"text/plain": [
" player nationality position team age birth_year \\\n",
- "0 Michel Aebischer ch SUI MF Bologna 26-246 1997 \n",
- "1 Luis Alberto es ESP MF Lazio 30-346 1992 \n",
- "2 Pontus Almqvist se SWE FW Lecce 24-061 1999 \n",
- "3 Lorenzo Amatucci it ITA MF Fiorentina 19-216 2004 \n",
- "4 Bruno Amione ar ARG MF Hellas Verona 21-249 2002 \n",
+ "0 Francesco Acerbi it ITA DF Inter 35-223 1988 \n",
+ "1 Michel Aebischer ch SUI MF Bologna 26-258 1997 \n",
+ "2 Luis Alberto es ESP MF Lazio 30-358 1992 \n",
+ "3 Pontus Almqvist se SWE FW Lecce 24-073 1999 \n",
+ "4 Lorenzo Amatucci it ITA MF Fiorentina 19-228 2004 \n",
".. ... ... ... ... ... ... \n",
- "394 Joshua Zirkzee nl NED FW Bologna 22-110 2001 \n",
- "395 Zito ao ANG FW Cagliari 21-184 2002 \n",
- "396 Nadir Zortea it ITA DF Atalanta 24-082 1999 \n",
- "397 Milan Đurić ba BIH FW,MF Hellas Verona 33-110 1990 \n",
- "398 Mateusz Łęgowski pl POL MF,DF Salernitana 20-223 2003 \n",
+ "424 Joshua Zirkzee nl NED FW Bologna 22-122 2001 \n",
+ "425 Zito ao ANG FW Cagliari 21-196 2002 \n",
+ "426 Nadir Zortea it ITA DF Atalanta 24-094 1999 \n",
+ "427 Milan Đurić ba BIH FW,MF Hellas Verona 33-122 1990 \n",
+ "428 Mateusz Łęgowski pl POL MF Salernitana 20-235 2003 \n",
"\n",
" games games_starts minutes goals ... fouls fouled offsides \\\n",
- "0 3.0 3.0 257.0 0.0 ... 4.0 3.0 0.0 \n",
- "1 3.0 3.0 270.0 1.0 ... 2.0 3.0 0.0 \n",
- "2 3.0 3.0 270.0 1.0 ... 2.0 3.0 1.0 \n",
- "3 1.0 0.0 16.0 0.0 ... 1.0 0.0 0.0 \n",
- "4 1.0 0.0 2.0 0.0 ... 1.0 0.0 0.0 \n",
+ "0 1.0 1.0 90.0 0.0 ... 2.0 1.0 0.0 \n",
+ "1 4.0 4.0 347.0 0.0 ... 7.0 5.0 0.0 \n",
+ "2 4.0 4.0 360.0 2.0 ... 3.0 5.0 0.0 \n",
+ "3 4.0 4.0 347.0 1.0 ... 3.0 8.0 1.0 \n",
+ "4 1.0 0.0 16.0 0.0 ... 1.0 0.0 0.0 \n",
".. ... ... ... ... ... ... ... ... \n",
- "394 3.0 3.0 266.0 1.0 ... 2.0 0.0 1.0 \n",
- "395 3.0 2.0 207.0 1.0 ... 2.0 6.0 2.0 \n",
- "396 2.0 0.0 64.0 1.0 ... 1.0 0.0 0.0 \n",
- "397 3.0 1.0 123.0 0.0 ... 6.0 1.0 1.0 \n",
- "398 3.0 1.0 95.0 0.0 ... 3.0 2.0 0.0 \n",
+ "424 4.0 4.0 356.0 1.0 ... 3.0 1.0 1.0 \n",
+ "425 4.0 3.0 297.0 1.0 ... 3.0 8.0 5.0 \n",
+ "426 3.0 0.0 96.0 1.0 ... 3.0 0.0 0.0 \n",
+ "427 4.0 1.0 152.0 0.0 ... 7.0 1.0 2.0 \n",
+ "428 4.0 2.0 161.0 0.0 ... 3.0 3.0 0.0 \n",
"\n",
" pens_won pens_conceded own_goals ball_recoveries aerials_won \\\n",
- "0 0.0 0.0 0.0 19.0 2.0 \n",
- "1 0.0 0.0 0.0 18.0 2.0 \n",
- "2 0.0 0.0 0.0 10.0 0.0 \n",
- "3 0.0 0.0 0.0 1.0 0.0 \n",
- "4 0.0 0.0 0.0 0.0 0.0 \n",
+ "0 0.0 0.0 0.0 4.0 3.0 \n",
+ "1 0.0 0.0 0.0 23.0 2.0 \n",
+ "2 0.0 0.0 0.0 24.0 2.0 \n",
+ "3 1.0 0.0 0.0 15.0 0.0 \n",
+ "4 0.0 0.0 0.0 1.0 0.0 \n",
".. ... ... ... ... ... \n",
- "394 0.0 0.0 0.0 10.0 6.0 \n",
- "395 0.0 0.0 0.0 4.0 1.0 \n",
- "396 0.0 0.0 0.0 4.0 0.0 \n",
- "397 0.0 0.0 0.0 4.0 16.0 \n",
- "398 0.0 0.0 0.0 10.0 2.0 \n",
+ "424 0.0 0.0 0.0 11.0 9.0 \n",
+ "425 0.0 0.0 0.0 6.0 1.0 \n",
+ "426 0.0 0.0 0.0 4.0 0.0 \n",
+ "427 0.0 0.0 0.0 4.0 21.0 \n",
+ "428 0.0 0.0 0.0 14.0 4.0 \n",
"\n",
" aerials_lost aerials_won_pct \n",
- "0 1.0 66.7 \n",
+ "0 0.0 100.0 \n",
"1 3.0 40.0 \n",
- "2 2.0 0.0 \n",
- "3 1.0 0.0 \n",
- "4 0.0 0.0 \n",
+ "2 4.0 33.3 \n",
+ "3 3.0 0.0 \n",
+ "4 1.0 0.0 \n",
".. ... ... \n",
- "394 2.0 75.0 \n",
- "395 4.0 20.0 \n",
- "396 1.0 0.0 \n",
- "397 10.0 61.5 \n",
- "398 3.0 40.0 \n",
+ "424 2.0 81.8 \n",
+ "425 5.0 16.7 \n",
+ "426 1.0 0.0 \n",
+ "427 14.0 60.0 \n",
+ "428 5.0 44.4 \n",
"\n",
- "[399 rows x 115 columns]"
+ "[429 rows x 115 columns]"
]
},
"execution_count": 3,
@@ -676,23 +676,23 @@
" al ALB \n",
" GK \n",
" Empoli \n",
- " 34-183 \n",
+ " 34-195 \n",
" 1989 \n",
- " 1.0 \n",
- " 1.0 \n",
- " 90.0 \n",
" 2.0 \n",
+ " 2.0 \n",
+ " 180.0 \n",
+ " 9.0 \n",
" ... \n",
- " 29.7 \n",
- " 7.0 \n",
- " 28.6 \n",
- " 28.0 \n",
- " 17.0 \n",
- " 0.0 \n",
- " 0.0 \n",
+ " 27.5 \n",
+ " 9.0 \n",
+ " 22.2 \n",
+ " 27.0 \n",
+ " 23.0 \n",
+ " 1.0 \n",
+ " 4.3 \n",
" 2.0 \n",
- " 2.00 \n",
- " 16.6 \n",
+ " 1.00 \n",
+ " 15.7 \n",
" \n",
" \n",
" 1 \n",
@@ -700,7 +700,7 @@
" it ITA \n",
" GK \n",
" Empoli \n",
- " 22-015 \n",
+ " 22-027 \n",
" 2001 \n",
" 1.0 \n",
" 1.0 \n",
@@ -720,11 +720,35 @@
" \n",
" \n",
" 2 \n",
+ " Marco Carnesecchi \n",
+ " it ITA \n",
+ " GK \n",
+ " Atalanta \n",
+ " 23-082 \n",
+ " 2000 \n",
+ " 1.0 \n",
+ " 1.0 \n",
+ " 90.0 \n",
+ " 3.0 \n",
+ " ... \n",
+ " 36.8 \n",
+ " 6.0 \n",
+ " 83.3 \n",
+ " 69.2 \n",
+ " 13.0 \n",
+ " 1.0 \n",
+ " 7.7 \n",
+ " 0.0 \n",
+ " 0.00 \n",
+ " 14.5 \n",
+ " \n",
+ " \n",
+ " 3 \n",
" Michele Cerofolini \n",
" it ITA \n",
" GK \n",
" Frosinone \n",
- " 24-248 \n",
+ " 24-260 \n",
" 1999 \n",
" 1.0 \n",
" 1.0 \n",
@@ -743,12 +767,12 @@
" 0.0 \n",
" \n",
" \n",
- " 3 \n",
+ " 4 \n",
" Oliver Christensen \n",
" dk DEN \n",
" GK \n",
" Fiorentina \n",
- " 24-171 \n",
+ " 24-183 \n",
" 1999 \n",
" 2.0 \n",
" 2.0 \n",
@@ -767,12 +791,12 @@
" 22.0 \n",
" \n",
" \n",
- " 4 \n",
+ " 5 \n",
" Andrea Consigli \n",
" it ITA \n",
" GK \n",
" Sassuolo \n",
- " 36-225 \n",
+ " 36-237 \n",
" 1987 \n",
" 3.0 \n",
" 3.0 \n",
@@ -791,12 +815,36 @@
" 14.5 \n",
" \n",
" \n",
- " 5 \n",
+ " 6 \n",
+ " Alessio Cragno \n",
+ " it ITA \n",
+ " GK \n",
+ " Sassuolo \n",
+ " 29-085 \n",
+ " 1994 \n",
+ " 1.0 \n",
+ " 1.0 \n",
+ " 90.0 \n",
+ " 4.0 \n",
+ " ... \n",
+ " 37.1 \n",
+ " 9.0 \n",
+ " 33.3 \n",
+ " 34.6 \n",
+ " 9.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 7.0 \n",
+ " 7.00 \n",
+ " 28.9 \n",
+ " \n",
+ " \n",
+ " 7 \n",
" Michele Di Gregorio \n",
" it ITA \n",
" GK \n",
" Monza \n",
- " 26-044 \n",
+ " 26-056 \n",
" 1997 \n",
" 3.0 \n",
" 3.0 \n",
@@ -815,156 +863,156 @@
" 11.7 \n",
" \n",
" \n",
- " 6 \n",
+ " 8 \n",
" Wladimiro Falcone \n",
" it ITA \n",
" GK \n",
" Lecce \n",
- " 28-150 \n",
+ " 28-162 \n",
" 1995 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
- " 3.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 360.0 \n",
+ " 4.0 \n",
" ... \n",
- " 35.0 \n",
- " 24.0 \n",
- " 62.5 \n",
- " 42.3 \n",
- " 32.0 \n",
+ " 31.0 \n",
+ " 42.0 \n",
+ " 52.4 \n",
+ " 38.7 \n",
+ " 54.0 \n",
" 2.0 \n",
- " 6.3 \n",
- " 1.0 \n",
- " 0.33 \n",
- " 9.0 \n",
+ " 3.7 \n",
+ " 2.0 \n",
+ " 0.50 \n",
+ " 10.3 \n",
" \n",
" \n",
- " 7 \n",
+ " 9 \n",
" Mike Maignan \n",
" fr FRA \n",
" GK \n",
" Milan \n",
- " 28-068 \n",
+ " 28-080 \n",
" 1995 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
- " 2.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 360.0 \n",
+ " 7.0 \n",
" ... \n",
- " 30.5 \n",
- " 20.0 \n",
- " 65.0 \n",
- " 49.3 \n",
- " 43.0 \n",
+ " 29.2 \n",
+ " 23.0 \n",
+ " 60.9 \n",
+ " 47.0 \n",
+ " 52.0 \n",
" 12.0 \n",
- " 27.9 \n",
+ " 23.1 \n",
" 3.0 \n",
- " 1.00 \n",
- " 10.3 \n",
+ " 0.75 \n",
+ " 9.8 \n",
" \n",
" \n",
- " 8 \n",
+ " 10 \n",
" Josep Martinez \n",
" es ESP \n",
" GK \n",
" Genoa \n",
- " 25-105 \n",
+ " 25-117 \n",
" 1998 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
- " 5.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 360.0 \n",
+ " 7.0 \n",
" ... \n",
- " 40.1 \n",
- " 14.0 \n",
- " 92.9 \n",
- " 62.2 \n",
- " 64.0 \n",
+ " 39.7 \n",
+ " 22.0 \n",
+ " 95.5 \n",
+ " 62.5 \n",
+ " 75.0 \n",
" 8.0 \n",
- " 12.5 \n",
+ " 10.7 \n",
" 2.0 \n",
- " 0.67 \n",
- " 9.7 \n",
+ " 0.50 \n",
+ " 9.3 \n",
" \n",
" \n",
- " 9 \n",
+ " 11 \n",
" Alex Meret \n",
" it ITA \n",
" GK \n",
" Napoli \n",
- " 26-171 \n",
+ " 26-183 \n",
" 1997 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
- " 3.0 \n",
- " ... \n",
- " 24.4 \n",
- " 8.0 \n",
- " 0.0 \n",
- " 21.4 \n",
- " 15.0 \n",
- " 1.0 \n",
- " 6.7 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 360.0 \n",
" 5.0 \n",
- " 1.67 \n",
- " 18.1 \n",
+ " ... \n",
+ " 24.7 \n",
+ " 11.0 \n",
+ " 0.0 \n",
+ " 20.4 \n",
+ " 27.0 \n",
+ " 1.0 \n",
+ " 3.7 \n",
+ " 7.0 \n",
+ " 1.75 \n",
+ " 18.2 \n",
" \n",
" \n",
- " 10 \n",
+ " 12 \n",
" Vanja Milinković-Savić \n",
" rs SRB \n",
" GK \n",
" Torino \n",
- " 26-201 \n",
+ " 26-213 \n",
" 1997 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 360.0 \n",
" 4.0 \n",
" ... \n",
- " 34.1 \n",
- " 29.0 \n",
- " 69.0 \n",
- " 58.9 \n",
- " 23.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 1.0 \n",
- " 0.33 \n",
- " 14.2 \n",
+ " 38.1 \n",
+ " 36.0 \n",
+ " 75.0 \n",
+ " 61.3 \n",
+ " 33.0 \n",
+ " 3.0 \n",
+ " 9.1 \n",
+ " 5.0 \n",
+ " 1.25 \n",
+ " 15.8 \n",
" \n",
" \n",
- " 11 \n",
+ " 13 \n",
" Lorenzo Montipò \n",
" it ITA \n",
" GK \n",
" Hellas Verona \n",
- " 27-201 \n",
+ " 27-213 \n",
" 1996 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 360.0 \n",
" 4.0 \n",
" ... \n",
- " 43.0 \n",
- " 28.0 \n",
- " 85.7 \n",
- " 61.0 \n",
- " 44.0 \n",
+ " 42.9 \n",
+ " 35.0 \n",
+ " 88.6 \n",
+ " 62.7 \n",
+ " 54.0 \n",
" 1.0 \n",
- " 2.3 \n",
+ " 1.9 \n",
" 8.0 \n",
- " 2.67 \n",
- " 20.9 \n",
+ " 2.00 \n",
+ " 19.4 \n",
" \n",
" \n",
- " 12 \n",
+ " 14 \n",
" Juan Musso \n",
" ar ARG \n",
" GK \n",
" Atalanta \n",
- " 29-126 \n",
+ " 29-138 \n",
" 1994 \n",
" 3.0 \n",
" 3.0 \n",
@@ -983,60 +1031,60 @@
" 22.0 \n",
" \n",
" \n",
- " 13 \n",
+ " 15 \n",
" Guillermo Ochoa \n",
" mx MEX \n",
" GK \n",
" Salernitana \n",
- " 38-058 \n",
+ " 38-070 \n",
" 1985 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
- " 5.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 360.0 \n",
+ " 8.0 \n",
" ... \n",
- " 38.7 \n",
- " 31.0 \n",
- " 61.3 \n",
- " 46.3 \n",
- " 51.0 \n",
- " 3.0 \n",
- " 5.9 \n",
+ " 35.9 \n",
+ " 35.0 \n",
+ " 54.3 \n",
+ " 43.6 \n",
+ " 63.0 \n",
+ " 4.0 \n",
+ " 6.3 \n",
" 1.0 \n",
- " 0.33 \n",
- " 8.3 \n",
+ " 0.25 \n",
+ " 7.8 \n",
" \n",
" \n",
- " 14 \n",
+ " 16 \n",
" Rui Patrício \n",
" pt POR \n",
" GK \n",
" Roma \n",
- " 35-206 \n",
+ " 35-218 \n",
" 1988 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 360.0 \n",
" 6.0 \n",
" ... \n",
- " 29.7 \n",
- " 12.0 \n",
- " 16.7 \n",
- " 24.5 \n",
- " 15.0 \n",
- " 0.0 \n",
- " 0.0 \n",
+ " 29.3 \n",
+ " 17.0 \n",
+ " 11.8 \n",
+ " 22.1 \n",
+ " 34.0 \n",
" 2.0 \n",
- " 0.67 \n",
- " 16.2 \n",
+ " 5.9 \n",
+ " 2.0 \n",
+ " 0.50 \n",
+ " 12.2 \n",
" \n",
" \n",
- " 15 \n",
+ " 17 \n",
" Mattia Perin \n",
" it ITA \n",
" GK \n",
" Juventus \n",
- " 30-303 \n",
+ " 30-315 \n",
" 1992 \n",
" 2.0 \n",
" 2.0 \n",
@@ -1055,12 +1103,12 @@
" 15.0 \n",
" \n",
" \n",
- " 16 \n",
+ " 18 \n",
" Samuele Perisan \n",
" it ITA \n",
" GK \n",
" Empoli \n",
- " 26-019 \n",
+ " 26-031 \n",
" 1997 \n",
" 1.0 \n",
" 1.0 \n",
@@ -1079,366 +1127,408 @@
" 21.0 \n",
" \n",
" \n",
- " 17 \n",
+ " 19 \n",
" Ivan Provedel \n",
" it ITA \n",
" GK \n",
" Lazio \n",
- " 29-176 \n",
+ " 29-188 \n",
" 1994 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
" 4.0 \n",
+ " 4.0 \n",
+ " 360.0 \n",
+ " 7.0 \n",
" ... \n",
- " 26.1 \n",
- " 11.0 \n",
- " 27.3 \n",
- " 31.6 \n",
- " 39.0 \n",
+ " 26.4 \n",
+ " 15.0 \n",
+ " 20.0 \n",
+ " 27.9 \n",
+ " 48.0 \n",
" 2.0 \n",
- " 5.1 \n",
+ " 4.2 \n",
" 6.0 \n",
- " 2.00 \n",
- " 16.3 \n",
+ " 1.50 \n",
+ " 15.7 \n",
" \n",
" \n",
- " 18 \n",
+ " 20 \n",
" Boris Radunović \n",
" rs SRB \n",
" GK \n",
" Cagliari \n",
- " 27-106 \n",
+ " 27-118 \n",
" 1996 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 360.0 \n",
" 4.0 \n",
" ... \n",
- " 39.4 \n",
- " 28.0 \n",
- " 71.4 \n",
- " 52.8 \n",
- " 49.0 \n",
- " 2.0 \n",
- " 4.1 \n",
- " 2.0 \n",
- " 0.67 \n",
- " 11.9 \n",
+ " 37.8 \n",
+ " 40.0 \n",
+ " 65.0 \n",
+ " 50.0 \n",
+ " 62.0 \n",
+ " 4.0 \n",
+ " 6.5 \n",
+ " 3.0 \n",
+ " 0.75 \n",
+ " 12.5 \n",
" \n",
" \n",
- " 19 \n",
+ " 21 \n",
" Marco Silvestri \n",
" it ITA \n",
" GK \n",
" Udinese \n",
- " 32-191 \n",
+ " 32-203 \n",
" 1991 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 360.0 \n",
" 4.0 \n",
" ... \n",
- " 31.4 \n",
- " 21.0 \n",
- " 38.1 \n",
- " 39.5 \n",
- " 33.0 \n",
+ " 29.7 \n",
+ " 32.0 \n",
+ " 31.3 \n",
+ " 35.4 \n",
+ " 49.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 2.0 \n",
- " 0.67 \n",
- " 13.4 \n",
+ " 3.0 \n",
+ " 0.75 \n",
+ " 14.0 \n",
" \n",
" \n",
- " 20 \n",
+ " 22 \n",
" Łukasz Skorupski \n",
" pl POL \n",
" GK \n",
" Bologna \n",
- " 32-127 \n",
+ " 32-139 \n",
" 1991 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 360.0 \n",
" 4.0 \n",
" ... \n",
- " 33.0 \n",
- " 19.0 \n",
- " 36.8 \n",
- " 37.0 \n",
- " 45.0 \n",
+ " 32.1 \n",
+ " 22.0 \n",
+ " 31.8 \n",
+ " 34.2 \n",
+ " 57.0 \n",
" 2.0 \n",
- " 4.4 \n",
+ " 3.5 \n",
" 2.0 \n",
- " 0.67 \n",
- " 11.3 \n",
+ " 0.50 \n",
+ " 11.5 \n",
" \n",
" \n",
- " 21 \n",
+ " 23 \n",
" Yann Sommer \n",
" ch SUI \n",
" GK \n",
" Inter \n",
- " 34-266 \n",
+ " 34-278 \n",
" 1988 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
- " 0.0 \n",
- " ... \n",
- " 31.4 \n",
- " 21.0 \n",
- " 23.8 \n",
- " 31.0 \n",
- " 35.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 360.0 \n",
" 1.0 \n",
- " 2.9 \n",
+ " ... \n",
+ " 30.8 \n",
+ " 29.0 \n",
+ " 20.7 \n",
+ " 28.3 \n",
+ " 41.0 \n",
+ " 2.0 \n",
+ " 4.9 \n",
" 0.0 \n",
" 0.00 \n",
- " 6.8 \n",
+ " 6.5 \n",
" \n",
" \n",
- " 22 \n",
+ " 24 \n",
+ " Alessandro Sorrentino \n",
+ " it ITA \n",
+ " GK \n",
+ " Monza \n",
+ " 21-171 \n",
+ " 2002 \n",
+ " 1.0 \n",
+ " 1.0 \n",
+ " 90.0 \n",
+ " 1.0 \n",
+ " ... \n",
+ " 21.0 \n",
+ " 2.0 \n",
+ " 0.0 \n",
+ " 23.0 \n",
+ " 8.0 \n",
+ " 1.0 \n",
+ " 12.5 \n",
+ " 0.0 \n",
+ " 0.00 \n",
+ " 9.0 \n",
+ " \n",
+ " \n",
+ " 25 \n",
" Wojciech Szczęsny \n",
" pl POL \n",
" GK \n",
" Juventus \n",
- " 33-144 \n",
+ " 33-156 \n",
" 1990 \n",
+ " 2.0 \n",
+ " 2.0 \n",
+ " 180.0 \n",
" 1.0 \n",
- " 1.0 \n",
- " 90.0 \n",
- " 0.0 \n",
" ... \n",
- " 31.6 \n",
- " 3.0 \n",
+ " 33.1 \n",
+ " 6.0 \n",
" 66.7 \n",
- " 53.3 \n",
- " 16.0 \n",
+ " 52.0 \n",
+ " 33.0 \n",
" 1.0 \n",
- " 6.3 \n",
+ " 3.0 \n",
" 0.0 \n",
" 0.00 \n",
- " 10.8 \n",
+ " 9.6 \n",
" \n",
" \n",
- " 23 \n",
+ " 26 \n",
" Pietro Terracciano \n",
" it ITA \n",
" GK \n",
" Fiorentina \n",
- " 33-185 \n",
+ " 33-197 \n",
" 1990 \n",
- " 1.0 \n",
- " 1.0 \n",
- " 90.0 \n",
- " 1.0 \n",
- " ... \n",
- " 30.0 \n",
- " 4.0 \n",
- " 0.0 \n",
- " 23.3 \n",
- " 11.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.00 \n",
- " 13.3 \n",
- " \n",
- " \n",
- " 24 \n",
- " Stefano Turati \n",
- " it ITA \n",
- " GK \n",
- " Frosinone \n",
- " 22-004 \n",
- " 2001 \n",
" 2.0 \n",
" 2.0 \n",
" 180.0 \n",
" 3.0 \n",
" ... \n",
- " 27.1 \n",
- " 10.0 \n",
- " 50.0 \n",
- " 40.7 \n",
+ " 33.1 \n",
+ " 9.0 \n",
+ " 11.1 \n",
" 25.0 \n",
+ " 16.0 \n",
+ " 1.0 \n",
+ " 6.3 \n",
+ " 1.0 \n",
+ " 0.50 \n",
+ " 13.7 \n",
+ " \n",
+ " \n",
+ " 27 \n",
+ " Stefano Turati \n",
+ " it ITA \n",
+ " GK \n",
+ " Frosinone \n",
+ " 22-016 \n",
+ " 2001 \n",
+ " 3.0 \n",
+ " 3.0 \n",
+ " 270.0 \n",
+ " 5.0 \n",
+ " ... \n",
+ " 26.0 \n",
+ " 13.0 \n",
+ " 53.8 \n",
+ " 41.7 \n",
+ " 33.0 \n",
" 2.0 \n",
- " 8.0 \n",
- " 2.0 \n",
+ " 6.1 \n",
+ " 3.0 \n",
" 1.00 \n",
- " 11.8 \n",
+ " 16.3 \n",
" \n",
" \n",
"\n",
- "25 rows × 47 columns
\n",
+ "28 rows × 47 columns
\n",
""
],
"text/plain": [
" player nationality position team age \\\n",
- "0 Etrit Berisha al ALB GK Empoli 34-183 \n",
- "1 Elia Caprile it ITA GK Empoli 22-015 \n",
- "2 Michele Cerofolini it ITA GK Frosinone 24-248 \n",
- "3 Oliver Christensen dk DEN GK Fiorentina 24-171 \n",
- "4 Andrea Consigli it ITA GK Sassuolo 36-225 \n",
- "5 Michele Di Gregorio it ITA GK Monza 26-044 \n",
- "6 Wladimiro Falcone it ITA GK Lecce 28-150 \n",
- "7 Mike Maignan fr FRA GK Milan 28-068 \n",
- "8 Josep Martinez es ESP GK Genoa 25-105 \n",
- "9 Alex Meret it ITA GK Napoli 26-171 \n",
- "10 Vanja Milinković-Savić rs SRB GK Torino 26-201 \n",
- "11 Lorenzo Montipò it ITA GK Hellas Verona 27-201 \n",
- "12 Juan Musso ar ARG GK Atalanta 29-126 \n",
- "13 Guillermo Ochoa mx MEX GK Salernitana 38-058 \n",
- "14 Rui Patrício pt POR GK Roma 35-206 \n",
- "15 Mattia Perin it ITA GK Juventus 30-303 \n",
- "16 Samuele Perisan it ITA GK Empoli 26-019 \n",
- "17 Ivan Provedel it ITA GK Lazio 29-176 \n",
- "18 Boris Radunović rs SRB GK Cagliari 27-106 \n",
- "19 Marco Silvestri it ITA GK Udinese 32-191 \n",
- "20 Łukasz Skorupski pl POL GK Bologna 32-127 \n",
- "21 Yann Sommer ch SUI GK Inter 34-266 \n",
- "22 Wojciech Szczęsny pl POL GK Juventus 33-144 \n",
- "23 Pietro Terracciano it ITA GK Fiorentina 33-185 \n",
- "24 Stefano Turati it ITA GK Frosinone 22-004 \n",
+ "0 Etrit Berisha al ALB GK Empoli 34-195 \n",
+ "1 Elia Caprile it ITA GK Empoli 22-027 \n",
+ "2 Marco Carnesecchi it ITA GK Atalanta 23-082 \n",
+ "3 Michele Cerofolini it ITA GK Frosinone 24-260 \n",
+ "4 Oliver Christensen dk DEN GK Fiorentina 24-183 \n",
+ "5 Andrea Consigli it ITA GK Sassuolo 36-237 \n",
+ "6 Alessio Cragno it ITA GK Sassuolo 29-085 \n",
+ "7 Michele Di Gregorio it ITA GK Monza 26-056 \n",
+ "8 Wladimiro Falcone it ITA GK Lecce 28-162 \n",
+ "9 Mike Maignan fr FRA GK Milan 28-080 \n",
+ "10 Josep Martinez es ESP GK Genoa 25-117 \n",
+ "11 Alex Meret it ITA GK Napoli 26-183 \n",
+ "12 Vanja Milinković-Savić rs SRB GK Torino 26-213 \n",
+ "13 Lorenzo Montipò it ITA GK Hellas Verona 27-213 \n",
+ "14 Juan Musso ar ARG GK Atalanta 29-138 \n",
+ "15 Guillermo Ochoa mx MEX GK Salernitana 38-070 \n",
+ "16 Rui Patrício pt POR GK Roma 35-218 \n",
+ "17 Mattia Perin it ITA GK Juventus 30-315 \n",
+ "18 Samuele Perisan it ITA GK Empoli 26-031 \n",
+ "19 Ivan Provedel it ITA GK Lazio 29-188 \n",
+ "20 Boris Radunović rs SRB GK Cagliari 27-118 \n",
+ "21 Marco Silvestri it ITA GK Udinese 32-203 \n",
+ "22 Łukasz Skorupski pl POL GK Bologna 32-139 \n",
+ "23 Yann Sommer ch SUI GK Inter 34-278 \n",
+ "24 Alessandro Sorrentino it ITA GK Monza 21-171 \n",
+ "25 Wojciech Szczęsny pl POL GK Juventus 33-156 \n",
+ "26 Pietro Terracciano it ITA GK Fiorentina 33-197 \n",
+ "27 Stefano Turati it ITA GK Frosinone 22-016 \n",
"\n",
" birth_year gk_games gk_games_starts gk_minutes gk_goals_against ... \\\n",
- "0 1989 1.0 1.0 90.0 2.0 ... \n",
+ "0 1989 2.0 2.0 180.0 9.0 ... \n",
"1 2001 1.0 1.0 90.0 1.0 ... \n",
- "2 1999 1.0 1.0 90.0 1.0 ... \n",
- "3 1999 2.0 2.0 180.0 6.0 ... \n",
- "4 1987 3.0 3.0 270.0 5.0 ... \n",
- "5 1997 3.0 3.0 270.0 5.0 ... \n",
- "6 1995 3.0 3.0 270.0 3.0 ... \n",
- "7 1995 3.0 3.0 270.0 2.0 ... \n",
- "8 1998 3.0 3.0 270.0 5.0 ... \n",
- "9 1997 3.0 3.0 270.0 3.0 ... \n",
- "10 1997 3.0 3.0 270.0 4.0 ... \n",
- "11 1996 3.0 3.0 270.0 4.0 ... \n",
- "12 1994 3.0 3.0 270.0 2.0 ... \n",
- "13 1985 3.0 3.0 270.0 5.0 ... \n",
- "14 1988 3.0 3.0 270.0 6.0 ... \n",
- "15 1992 2.0 2.0 180.0 1.0 ... \n",
- "16 1997 1.0 1.0 90.0 2.0 ... \n",
- "17 1994 3.0 3.0 270.0 4.0 ... \n",
- "18 1996 3.0 3.0 270.0 4.0 ... \n",
- "19 1991 3.0 3.0 270.0 4.0 ... \n",
- "20 1991 3.0 3.0 270.0 4.0 ... \n",
- "21 1988 3.0 3.0 270.0 0.0 ... \n",
- "22 1990 1.0 1.0 90.0 0.0 ... \n",
- "23 1990 1.0 1.0 90.0 1.0 ... \n",
- "24 2001 2.0 2.0 180.0 3.0 ... \n",
+ "2 2000 1.0 1.0 90.0 3.0 ... \n",
+ "3 1999 1.0 1.0 90.0 1.0 ... \n",
+ "4 1999 2.0 2.0 180.0 6.0 ... \n",
+ "5 1987 3.0 3.0 270.0 5.0 ... \n",
+ "6 1994 1.0 1.0 90.0 4.0 ... \n",
+ "7 1997 3.0 3.0 270.0 5.0 ... \n",
+ "8 1995 4.0 4.0 360.0 4.0 ... \n",
+ "9 1995 4.0 4.0 360.0 7.0 ... \n",
+ "10 1998 4.0 4.0 360.0 7.0 ... \n",
+ "11 1997 4.0 4.0 360.0 5.0 ... \n",
+ "12 1997 4.0 4.0 360.0 4.0 ... \n",
+ "13 1996 4.0 4.0 360.0 4.0 ... \n",
+ "14 1994 3.0 3.0 270.0 2.0 ... \n",
+ "15 1985 4.0 4.0 360.0 8.0 ... \n",
+ "16 1988 4.0 4.0 360.0 6.0 ... \n",
+ "17 1992 2.0 2.0 180.0 1.0 ... \n",
+ "18 1997 1.0 1.0 90.0 2.0 ... \n",
+ "19 1994 4.0 4.0 360.0 7.0 ... \n",
+ "20 1996 4.0 4.0 360.0 4.0 ... \n",
+ "21 1991 4.0 4.0 360.0 4.0 ... \n",
+ "22 1991 4.0 4.0 360.0 4.0 ... \n",
+ "23 1988 4.0 4.0 360.0 1.0 ... \n",
+ "24 2002 1.0 1.0 90.0 1.0 ... \n",
+ "25 1990 2.0 2.0 180.0 1.0 ... \n",
+ "26 1990 2.0 2.0 180.0 3.0 ... \n",
+ "27 2001 3.0 3.0 270.0 5.0 ... \n",
"\n",
" gk_passes_length_avg gk_goal_kicks gk_pct_goal_kicks_launched \\\n",
- "0 29.7 7.0 28.6 \n",
+ "0 27.5 9.0 22.2 \n",
"1 42.6 4.0 50.0 \n",
- "2 38.3 5.0 60.0 \n",
- "3 33.2 8.0 62.5 \n",
- "4 37.1 34.0 26.5 \n",
- "5 28.7 22.0 40.9 \n",
- "6 35.0 24.0 62.5 \n",
- "7 30.5 20.0 65.0 \n",
- "8 40.1 14.0 92.9 \n",
- "9 24.4 8.0 0.0 \n",
- "10 34.1 29.0 69.0 \n",
- "11 43.0 28.0 85.7 \n",
- "12 29.3 18.0 55.6 \n",
- "13 38.7 31.0 61.3 \n",
- "14 29.7 12.0 16.7 \n",
- "15 29.1 11.0 9.1 \n",
- "16 26.3 12.0 16.7 \n",
- "17 26.1 11.0 27.3 \n",
- "18 39.4 28.0 71.4 \n",
- "19 31.4 21.0 38.1 \n",
- "20 33.0 19.0 36.8 \n",
- "21 31.4 21.0 23.8 \n",
- "22 31.6 3.0 66.7 \n",
- "23 30.0 4.0 0.0 \n",
- "24 27.1 10.0 50.0 \n",
+ "2 36.8 6.0 83.3 \n",
+ "3 38.3 5.0 60.0 \n",
+ "4 33.2 8.0 62.5 \n",
+ "5 37.1 34.0 26.5 \n",
+ "6 37.1 9.0 33.3 \n",
+ "7 28.7 22.0 40.9 \n",
+ "8 31.0 42.0 52.4 \n",
+ "9 29.2 23.0 60.9 \n",
+ "10 39.7 22.0 95.5 \n",
+ "11 24.7 11.0 0.0 \n",
+ "12 38.1 36.0 75.0 \n",
+ "13 42.9 35.0 88.6 \n",
+ "14 29.3 18.0 55.6 \n",
+ "15 35.9 35.0 54.3 \n",
+ "16 29.3 17.0 11.8 \n",
+ "17 29.1 11.0 9.1 \n",
+ "18 26.3 12.0 16.7 \n",
+ "19 26.4 15.0 20.0 \n",
+ "20 37.8 40.0 65.0 \n",
+ "21 29.7 32.0 31.3 \n",
+ "22 32.1 22.0 31.8 \n",
+ "23 30.8 29.0 20.7 \n",
+ "24 21.0 2.0 0.0 \n",
+ "25 33.1 6.0 66.7 \n",
+ "26 33.1 9.0 11.1 \n",
+ "27 26.0 13.0 53.8 \n",
"\n",
" gk_goal_kick_length_avg gk_crosses gk_crosses_stopped \\\n",
- "0 28.0 17.0 0.0 \n",
+ "0 27.0 23.0 1.0 \n",
"1 50.3 10.0 2.0 \n",
- "2 45.8 18.0 0.0 \n",
- "3 49.4 15.0 0.0 \n",
- "4 28.1 46.0 2.0 \n",
- "5 40.3 45.0 2.0 \n",
- "6 42.3 32.0 2.0 \n",
- "7 49.3 43.0 12.0 \n",
- "8 62.2 64.0 8.0 \n",
- "9 21.4 15.0 1.0 \n",
- "10 58.9 23.0 0.0 \n",
- "11 61.0 44.0 1.0 \n",
- "12 46.1 28.0 2.0 \n",
- "13 46.3 51.0 3.0 \n",
- "14 24.5 15.0 0.0 \n",
- "15 18.9 26.0 2.0 \n",
- "16 29.6 18.0 0.0 \n",
- "17 31.6 39.0 2.0 \n",
- "18 52.8 49.0 2.0 \n",
- "19 39.5 33.0 0.0 \n",
- "20 37.0 45.0 2.0 \n",
- "21 31.0 35.0 1.0 \n",
- "22 53.3 16.0 1.0 \n",
- "23 23.3 11.0 0.0 \n",
- "24 40.7 25.0 2.0 \n",
+ "2 69.2 13.0 1.0 \n",
+ "3 45.8 18.0 0.0 \n",
+ "4 49.4 15.0 0.0 \n",
+ "5 28.1 46.0 2.0 \n",
+ "6 34.6 9.0 0.0 \n",
+ "7 40.3 45.0 2.0 \n",
+ "8 38.7 54.0 2.0 \n",
+ "9 47.0 52.0 12.0 \n",
+ "10 62.5 75.0 8.0 \n",
+ "11 20.4 27.0 1.0 \n",
+ "12 61.3 33.0 3.0 \n",
+ "13 62.7 54.0 1.0 \n",
+ "14 46.1 28.0 2.0 \n",
+ "15 43.6 63.0 4.0 \n",
+ "16 22.1 34.0 2.0 \n",
+ "17 18.9 26.0 2.0 \n",
+ "18 29.6 18.0 0.0 \n",
+ "19 27.9 48.0 2.0 \n",
+ "20 50.0 62.0 4.0 \n",
+ "21 35.4 49.0 0.0 \n",
+ "22 34.2 57.0 2.0 \n",
+ "23 28.3 41.0 2.0 \n",
+ "24 23.0 8.0 1.0 \n",
+ "25 52.0 33.0 1.0 \n",
+ "26 25.0 16.0 1.0 \n",
+ "27 41.7 33.0 2.0 \n",
"\n",
" gk_crosses_stopped_pct gk_def_actions_outside_pen_area \\\n",
- "0 0.0 2.0 \n",
+ "0 4.3 2.0 \n",
"1 20.0 2.0 \n",
- "2 0.0 0.0 \n",
- "3 0.0 3.0 \n",
- "4 4.3 3.0 \n",
- "5 4.4 2.0 \n",
- "6 6.3 1.0 \n",
- "7 27.9 3.0 \n",
- "8 12.5 2.0 \n",
- "9 6.7 5.0 \n",
- "10 0.0 1.0 \n",
- "11 2.3 8.0 \n",
- "12 7.1 8.0 \n",
- "13 5.9 1.0 \n",
- "14 0.0 2.0 \n",
- "15 7.7 2.0 \n",
- "16 0.0 1.0 \n",
- "17 5.1 6.0 \n",
- "18 4.1 2.0 \n",
- "19 0.0 2.0 \n",
- "20 4.4 2.0 \n",
- "21 2.9 0.0 \n",
- "22 6.3 0.0 \n",
- "23 0.0 0.0 \n",
- "24 8.0 2.0 \n",
+ "2 7.7 0.0 \n",
+ "3 0.0 0.0 \n",
+ "4 0.0 3.0 \n",
+ "5 4.3 3.0 \n",
+ "6 0.0 7.0 \n",
+ "7 4.4 2.0 \n",
+ "8 3.7 2.0 \n",
+ "9 23.1 3.0 \n",
+ "10 10.7 2.0 \n",
+ "11 3.7 7.0 \n",
+ "12 9.1 5.0 \n",
+ "13 1.9 8.0 \n",
+ "14 7.1 8.0 \n",
+ "15 6.3 1.0 \n",
+ "16 5.9 2.0 \n",
+ "17 7.7 2.0 \n",
+ "18 0.0 1.0 \n",
+ "19 4.2 6.0 \n",
+ "20 6.5 3.0 \n",
+ "21 0.0 3.0 \n",
+ "22 3.5 2.0 \n",
+ "23 4.9 0.0 \n",
+ "24 12.5 0.0 \n",
+ "25 3.0 0.0 \n",
+ "26 6.3 1.0 \n",
+ "27 6.1 3.0 \n",
"\n",
" gk_def_actions_outside_pen_area_per90 gk_avg_distance_def_actions \n",
- "0 2.00 16.6 \n",
+ "0 1.00 15.7 \n",
"1 2.00 12.4 \n",
- "2 0.00 0.0 \n",
- "3 1.50 22.0 \n",
- "4 1.00 14.5 \n",
- "5 0.67 11.7 \n",
- "6 0.33 9.0 \n",
- "7 1.00 10.3 \n",
- "8 0.67 9.7 \n",
- "9 1.67 18.1 \n",
- "10 0.33 14.2 \n",
- "11 2.67 20.9 \n",
- "12 2.67 22.0 \n",
- "13 0.33 8.3 \n",
- "14 0.67 16.2 \n",
- "15 1.00 15.0 \n",
- "16 1.00 21.0 \n",
- "17 2.00 16.3 \n",
- "18 0.67 11.9 \n",
- "19 0.67 13.4 \n",
- "20 0.67 11.3 \n",
- "21 0.00 6.8 \n",
- "22 0.00 10.8 \n",
- "23 0.00 13.3 \n",
- "24 1.00 11.8 \n",
+ "2 0.00 14.5 \n",
+ "3 0.00 0.0 \n",
+ "4 1.50 22.0 \n",
+ "5 1.00 14.5 \n",
+ "6 7.00 28.9 \n",
+ "7 0.67 11.7 \n",
+ "8 0.50 10.3 \n",
+ "9 0.75 9.8 \n",
+ "10 0.50 9.3 \n",
+ "11 1.75 18.2 \n",
+ "12 1.25 15.8 \n",
+ "13 2.00 19.4 \n",
+ "14 2.67 22.0 \n",
+ "15 0.25 7.8 \n",
+ "16 0.50 12.2 \n",
+ "17 1.00 15.0 \n",
+ "18 1.00 21.0 \n",
+ "19 1.50 15.7 \n",
+ "20 0.75 12.5 \n",
+ "21 0.75 14.0 \n",
+ "22 0.50 11.5 \n",
+ "23 0.00 6.5 \n",
+ "24 0.00 9.0 \n",
+ "25 0.00 9.6 \n",
+ "26 0.50 13.7 \n",
+ "27 1.00 16.3 \n",
"\n",
- "[25 rows x 47 columns]"
+ "[28 rows x 47 columns]"
]
},
"execution_count": 4,
@@ -1508,482 +1598,482 @@
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" Fiorentina \n",
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" \n",
" 6 \n",
" Genoa \n",
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" \n",
" \n",
" 8 \n",
" Inter \n",
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" \n",
" \n",
" 10 \n",
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" \n",
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- " 58.7 \n",
+ " 45.1 \n",
+ " \n",
+ " \n",
+ " 14 \n",
+ " Napoli \n",
+ " 19.0 \n",
+ " 61.8 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 8.0 \n",
+ " 5.0 \n",
+ " 1.0 \n",
+ " 2.0 \n",
+ " ... \n",
+ " 42.0 \n",
+ " 39.0 \n",
+ " 14.0 \n",
+ " 1.0 \n",
+ " 1.0 \n",
+ " 0.0 \n",
+ " 208.0 \n",
+ " 47.0 \n",
+ " 35.0 \n",
+ " 57.3 \n",
+ " \n",
+ " \n",
+ " 15 \n",
+ " Roma \n",
+ " 23.0 \n",
+ " 57.0 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 10.0 \n",
+ " 8.0 \n",
+ " 1.0 \n",
+ " 1.0 \n",
+ " ... \n",
+ " 53.0 \n",
+ " 45.0 \n",
+ " 7.0 \n",
+ " 0.0 \n",
+ " 1.0 \n",
+ " 0.0 \n",
+ " 196.0 \n",
+ " 76.0 \n",
+ " 54.0 \n",
+ " 58.5 \n",
" \n",
" \n",
" 16 \n",
" Salernitana \n",
" 21.0 \n",
- " 50.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 51.5 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 3.0 \n",
" 3.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 36.0 \n",
- " 47.0 \n",
- " 3.0 \n",
+ " 48.0 \n",
+ " 62.0 \n",
+ " 5.0 \n",
" 0.0 \n",
" 1.0 \n",
" 0.0 \n",
- " 127.0 \n",
- " 37.0 \n",
- " 68.0 \n",
- " 35.2 \n",
+ " 183.0 \n",
+ " 54.0 \n",
+ " 86.0 \n",
+ " 38.6 \n",
" \n",
" \n",
" 17 \n",
" Sassuolo \n",
- " 22.0 \n",
- " 43.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 3.0 \n",
- " 2.0 \n",
+ " 24.0 \n",
+ " 43.5 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 5.0 \n",
+ " 4.0 \n",
" 1.0 \n",
" 1.0 \n",
" ... \n",
- " 27.0 \n",
- " 33.0 \n",
+ " 36.0 \n",
+ " 41.0 \n",
+ " 3.0 \n",
" 1.0 \n",
- " 1.0 \n",
- " 2.0 \n",
+ " 3.0 \n",
" 0.0 \n",
- " 127.0 \n",
- " 30.0 \n",
- " 40.0 \n",
- " 42.9 \n",
+ " 171.0 \n",
+ " 37.0 \n",
+ " 50.0 \n",
+ " 42.5 \n",
" \n",
" \n",
" 18 \n",
" Torino \n",
- " 20.0 \n",
- " 53.7 \n",
+ " 22.0 \n",
+ " 51.3 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 5.0 \n",
" 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 2.0 \n",
- " 2.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 37.0 \n",
- " 31.0 \n",
- " 8.0 \n",
+ " 53.0 \n",
+ " 43.0 \n",
+ " 10.0 \n",
" 0.0 \n",
" 2.0 \n",
" 0.0 \n",
- " 141.0 \n",
- " 41.0 \n",
- " 46.0 \n",
- " 47.1 \n",
+ " 193.0 \n",
+ " 59.0 \n",
+ " 63.0 \n",
+ " 48.4 \n",
" \n",
" \n",
" 19 \n",
" Udinese \n",
- " 18.0 \n",
- " 46.7 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 22.0 \n",
+ " 48.5 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 1.0 \n",
" 1.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 45.0 \n",
- " 30.0 \n",
- " 4.0 \n",
+ " 56.0 \n",
+ " 42.0 \n",
+ " 5.0 \n",
" 0.0 \n",
" 1.0 \n",
" 0.0 \n",
- " 148.0 \n",
- " 48.0 \n",
- " 38.0 \n",
- " 55.8 \n",
+ " 203.0 \n",
+ " 64.0 \n",
+ " 52.0 \n",
+ " 55.2 \n",
" \n",
" \n",
"\n",
@@ -1992,92 +2082,92 @@
],
"text/plain": [
" team players_used possession games games_starts minutes \\\n",
- "0 Atalanta 20.0 51.7 3.0 33.0 270.0 \n",
- "1 Bologna 20.0 55.3 3.0 33.0 270.0 \n",
- "2 Cagliari 19.0 35.0 3.0 33.0 270.0 \n",
- "3 Empoli 26.0 48.0 3.0 33.0 270.0 \n",
- "4 Fiorentina 21.0 62.3 3.0 33.0 270.0 \n",
- "5 Frosinone 21.0 46.0 3.0 33.0 270.0 \n",
- "6 Genoa 18.0 33.0 3.0 33.0 270.0 \n",
- "7 Hellas Verona 19.0 44.7 3.0 33.0 270.0 \n",
- "8 Inter 18.0 51.3 3.0 33.0 270.0 \n",
- "9 Juventus 21.0 53.0 3.0 33.0 270.0 \n",
- "10 Lazio 19.0 53.3 3.0 33.0 270.0 \n",
- "11 Lecce 18.0 45.0 3.0 33.0 270.0 \n",
- "12 Milan 18.0 54.0 3.0 33.0 270.0 \n",
- "13 Monza 21.0 55.3 3.0 33.0 270.0 \n",
- "14 Napoli 18.0 60.3 3.0 33.0 270.0 \n",
- "15 Roma 21.0 58.3 3.0 33.0 270.0 \n",
- "16 Salernitana 21.0 50.0 3.0 33.0 270.0 \n",
- "17 Sassuolo 22.0 43.0 3.0 33.0 270.0 \n",
- "18 Torino 20.0 53.7 3.0 33.0 270.0 \n",
- "19 Udinese 18.0 46.7 3.0 33.0 270.0 \n",
+ "0 Atalanta 23.0 49.5 4.0 44.0 360.0 \n",
+ "1 Bologna 22.0 56.5 4.0 44.0 360.0 \n",
+ "2 Cagliari 21.0 37.8 4.0 44.0 360.0 \n",
+ "3 Empoli 27.0 47.8 4.0 44.0 360.0 \n",
+ "4 Fiorentina 22.0 61.0 4.0 44.0 360.0 \n",
+ "5 Frosinone 23.0 48.3 4.0 44.0 360.0 \n",
+ "6 Genoa 19.0 33.3 4.0 44.0 360.0 \n",
+ "7 Hellas Verona 21.0 43.5 4.0 44.0 360.0 \n",
+ "8 Inter 19.0 48.8 4.0 44.0 360.0 \n",
+ "9 Juventus 21.0 48.8 4.0 44.0 360.0 \n",
+ "10 Lazio 20.0 56.0 4.0 44.0 360.0 \n",
+ "11 Lecce 19.0 43.5 4.0 44.0 360.0 \n",
+ "12 Milan 19.0 55.3 4.0 44.0 360.0 \n",
+ "13 Monza 22.0 56.8 4.0 44.0 360.0 \n",
+ "14 Napoli 19.0 61.8 4.0 44.0 360.0 \n",
+ "15 Roma 23.0 57.0 4.0 44.0 360.0 \n",
+ "16 Salernitana 21.0 51.5 4.0 44.0 360.0 \n",
+ "17 Sassuolo 24.0 43.5 4.0 44.0 360.0 \n",
+ "18 Torino 22.0 51.3 4.0 44.0 360.0 \n",
+ "19 Udinese 22.0 48.5 4.0 44.0 360.0 \n",
"\n",
" goals assists pens_made pens_att ... fouls fouled offsides \\\n",
- "0 6.0 6.0 0.0 0.0 ... 34.0 27.0 7.0 \n",
- "1 3.0 2.0 0.0 1.0 ... 32.0 25.0 3.0 \n",
- "2 1.0 1.0 0.0 0.0 ... 34.0 25.0 4.0 \n",
- "3 0.0 0.0 0.0 0.0 ... 38.0 44.0 5.0 \n",
- "4 6.0 5.0 0.0 0.0 ... 41.0 38.0 4.0 \n",
- "5 3.0 2.0 1.0 1.0 ... 33.0 40.0 6.0 \n",
- "6 2.0 1.0 0.0 0.0 ... 37.0 29.0 4.0 \n",
- "7 4.0 2.0 0.0 0.0 ... 48.0 36.0 7.0 \n",
- "8 8.0 7.0 1.0 1.0 ... 31.0 33.0 3.0 \n",
- "9 6.0 4.0 1.0 2.0 ... 38.0 35.0 9.0 \n",
- "10 3.0 3.0 0.0 0.0 ... 34.0 33.0 4.0 \n",
- "11 6.0 5.0 1.0 1.0 ... 44.0 45.0 3.0 \n",
- "12 8.0 5.0 3.0 3.0 ... 32.0 39.0 4.0 \n",
- "13 2.0 2.0 0.0 0.0 ... 36.0 25.0 4.0 \n",
- "14 6.0 3.0 1.0 2.0 ... 34.0 27.0 11.0 \n",
- "15 4.0 3.0 0.0 0.0 ... 38.0 41.0 5.0 \n",
- "16 3.0 3.0 0.0 0.0 ... 36.0 47.0 3.0 \n",
- "17 3.0 2.0 1.0 1.0 ... 27.0 33.0 1.0 \n",
- "18 2.0 2.0 0.0 0.0 ... 37.0 31.0 8.0 \n",
- "19 1.0 1.0 0.0 0.0 ... 45.0 30.0 4.0 \n",
+ "0 8.0 8.0 0.0 0.0 ... 48.0 34.0 9.0 \n",
+ "1 3.0 2.0 0.0 1.0 ... 42.0 41.0 4.0 \n",
+ "2 1.0 1.0 0.0 0.0 ... 46.0 35.0 7.0 \n",
+ "3 0.0 0.0 0.0 0.0 ... 43.0 59.0 7.0 \n",
+ "4 9.0 7.0 0.0 0.0 ... 49.0 52.0 4.0 \n",
+ "5 7.0 4.0 2.0 2.0 ... 43.0 49.0 11.0 \n",
+ "6 4.0 3.0 0.0 0.0 ... 51.0 35.0 5.0 \n",
+ "7 4.0 2.0 0.0 0.0 ... 66.0 46.0 12.0 \n",
+ "8 13.0 11.0 2.0 2.0 ... 47.0 45.0 5.0 \n",
+ "9 9.0 7.0 1.0 2.0 ... 51.0 48.0 10.0 \n",
+ "10 4.0 4.0 0.0 0.0 ... 47.0 46.0 4.0 \n",
+ "11 7.0 5.0 2.0 2.0 ... 55.0 62.0 3.0 \n",
+ "12 9.0 6.0 3.0 3.0 ... 45.0 53.0 6.0 \n",
+ "13 3.0 3.0 0.0 0.0 ... 53.0 35.0 5.0 \n",
+ "14 8.0 5.0 1.0 2.0 ... 42.0 39.0 14.0 \n",
+ "15 10.0 8.0 1.0 1.0 ... 53.0 45.0 7.0 \n",
+ "16 3.0 3.0 0.0 0.0 ... 48.0 62.0 5.0 \n",
+ "17 5.0 4.0 1.0 1.0 ... 36.0 41.0 3.0 \n",
+ "18 5.0 3.0 0.0 0.0 ... 53.0 43.0 10.0 \n",
+ "19 1.0 1.0 0.0 0.0 ... 56.0 42.0 5.0 \n",
"\n",
" pens_won pens_conceded own_goals ball_recoveries aerials_won \\\n",
- "0 0.0 0.0 0.0 172.0 42.0 \n",
- "1 0.0 0.0 0.0 153.0 29.0 \n",
- "2 0.0 1.0 0.0 190.0 37.0 \n",
- "3 0.0 1.0 0.0 131.0 30.0 \n",
- "4 0.0 1.0 0.0 141.0 32.0 \n",
- "5 1.0 0.0 0.0 154.0 42.0 \n",
- "6 0.0 0.0 0.0 128.0 44.0 \n",
- "7 0.0 1.0 0.0 157.0 71.0 \n",
- "8 1.0 0.0 0.0 156.0 36.0 \n",
- "9 1.0 0.0 0.0 140.0 26.0 \n",
- "10 0.0 0.0 0.0 149.0 26.0 \n",
- "11 0.0 0.0 0.0 148.0 46.0 \n",
- "12 2.0 0.0 0.0 134.0 27.0 \n",
- "13 0.0 0.0 0.0 122.0 27.0 \n",
- "14 1.0 1.0 0.0 156.0 33.0 \n",
- "15 0.0 1.0 0.0 145.0 64.0 \n",
- "16 0.0 1.0 0.0 127.0 37.0 \n",
- "17 1.0 2.0 0.0 127.0 30.0 \n",
- "18 0.0 2.0 0.0 141.0 41.0 \n",
- "19 0.0 1.0 0.0 148.0 48.0 \n",
+ "0 0.0 0.0 0.0 232.0 60.0 \n",
+ "1 0.0 0.0 0.0 205.0 46.0 \n",
+ "2 0.0 1.0 0.0 241.0 51.0 \n",
+ "3 0.0 2.0 1.0 176.0 39.0 \n",
+ "4 0.0 1.0 0.0 196.0 53.0 \n",
+ "5 2.0 0.0 0.0 202.0 52.0 \n",
+ "6 0.0 0.0 0.0 177.0 60.0 \n",
+ "7 0.0 1.0 0.0 207.0 82.0 \n",
+ "8 2.0 0.0 0.0 187.0 44.0 \n",
+ "9 1.0 0.0 0.0 181.0 38.0 \n",
+ "10 0.0 0.0 0.0 188.0 30.0 \n",
+ "11 1.0 0.0 0.0 191.0 54.0 \n",
+ "12 2.0 1.0 0.0 169.0 33.0 \n",
+ "13 0.0 1.0 0.0 175.0 37.0 \n",
+ "14 1.0 1.0 0.0 208.0 47.0 \n",
+ "15 0.0 1.0 0.0 196.0 76.0 \n",
+ "16 0.0 1.0 0.0 183.0 54.0 \n",
+ "17 1.0 3.0 0.0 171.0 37.0 \n",
+ "18 0.0 2.0 0.0 193.0 59.0 \n",
+ "19 0.0 1.0 0.0 203.0 64.0 \n",
"\n",
" aerials_lost aerials_won_pct \n",
- "0 44.0 48.8 \n",
- "1 23.0 55.8 \n",
- "2 44.0 45.7 \n",
- "3 42.0 41.7 \n",
- "4 38.0 45.7 \n",
- "5 46.0 47.7 \n",
- "6 32.0 57.9 \n",
- "7 54.0 56.8 \n",
- "8 24.0 60.0 \n",
- "9 22.0 54.2 \n",
- "10 39.0 40.0 \n",
- "11 33.0 58.2 \n",
- "12 34.0 44.3 \n",
- "13 37.0 42.2 \n",
- "14 19.0 63.5 \n",
- "15 45.0 58.7 \n",
- "16 68.0 35.2 \n",
- "17 40.0 42.9 \n",
- "18 46.0 47.1 \n",
- "19 38.0 55.8 \n",
+ "0 65.0 48.0 \n",
+ "1 34.0 57.5 \n",
+ "2 60.0 45.9 \n",
+ "3 54.0 41.9 \n",
+ "4 56.0 48.6 \n",
+ "5 53.0 49.5 \n",
+ "6 46.0 56.6 \n",
+ "7 71.0 53.6 \n",
+ "8 30.0 59.5 \n",
+ "9 26.0 59.4 \n",
+ "10 51.0 37.0 \n",
+ "11 43.0 55.7 \n",
+ "12 42.0 44.0 \n",
+ "13 45.0 45.1 \n",
+ "14 35.0 57.3 \n",
+ "15 54.0 58.5 \n",
+ "16 86.0 38.6 \n",
+ "17 50.0 42.5 \n",
+ "18 63.0 48.4 \n",
+ "19 52.0 55.2 \n",
"\n",
"[20 rows x 152 columns]"
]
@@ -2149,482 +2239,482 @@
" \n",
" 0 \n",
" vs Atalanta \n",
- " 20.0 \n",
- " 48.3 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 2.0 \n",
- " 2.0 \n",
+ " 23.0 \n",
+ " 50.5 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 5.0 \n",
+ " 4.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 28.0 \n",
- " 33.0 \n",
+ " 36.0 \n",
+ " 47.0 \n",
" 2.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 157.0 \n",
- " 44.0 \n",
- " 42.0 \n",
- " 51.2 \n",
+ " 212.0 \n",
+ " 65.0 \n",
+ " 60.0 \n",
+ " 52.0 \n",
" \n",
" \n",
" 1 \n",
" vs Bologna \n",
- " 20.0 \n",
- " 44.7 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 22.0 \n",
+ " 43.5 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 4.0 \n",
" 4.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 32.0 \n",
- " 30.0 \n",
- " 7.0 \n",
+ " 50.0 \n",
+ " 40.0 \n",
+ " 12.0 \n",
" 0.0 \n",
" 1.0 \n",
" 0.0 \n",
- " 157.0 \n",
- " 23.0 \n",
- " 29.0 \n",
- " 44.2 \n",
+ " 207.0 \n",
+ " 34.0 \n",
+ " 46.0 \n",
+ " 42.5 \n",
" \n",
" \n",
" 2 \n",
" vs Cagliari \n",
- " 19.0 \n",
- " 65.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 21.0 \n",
+ " 62.3 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 4.0 \n",
" 3.0 \n",
" 0.0 \n",
" 1.0 \n",
" ... \n",
- " 27.0 \n",
- " 29.0 \n",
- " 4.0 \n",
+ " 38.0 \n",
+ " 41.0 \n",
+ " 5.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 165.0 \n",
- " 44.0 \n",
- " 37.0 \n",
- " 54.3 \n",
+ " 220.0 \n",
+ " 60.0 \n",
+ " 51.0 \n",
+ " 54.1 \n",
" \n",
" \n",
" 3 \n",
" vs Empoli \n",
- " 26.0 \n",
- " 52.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 5.0 \n",
- " 3.0 \n",
- " 0.0 \n",
+ " 27.0 \n",
+ " 52.3 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 11.0 \n",
+ " 8.0 \n",
" 1.0 \n",
+ " 2.0 \n",
" ... \n",
- " 45.0 \n",
- " 38.0 \n",
- " 6.0 \n",
+ " 60.0 \n",
+ " 42.0 \n",
+ " 8.0 \n",
" 1.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 152.0 \n",
- " 42.0 \n",
- " 30.0 \n",
- " 58.3 \n",
+ " 203.0 \n",
+ " 54.0 \n",
+ " 39.0 \n",
+ " 58.1 \n",
" \n",
" \n",
" 4 \n",
" vs Fiorentina \n",
- " 21.0 \n",
- " 37.7 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 7.0 \n",
- " 6.0 \n",
+ " 22.0 \n",
+ " 39.0 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 9.0 \n",
+ " 8.0 \n",
" 1.0 \n",
" 1.0 \n",
" ... \n",
- " 42.0 \n",
- " 36.0 \n",
- " 3.0 \n",
+ " 56.0 \n",
+ " 43.0 \n",
+ " 5.0 \n",
" 1.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 142.0 \n",
- " 38.0 \n",
- " 32.0 \n",
- " 54.3 \n",
+ " 202.0 \n",
+ " 56.0 \n",
+ " 53.0 \n",
+ " 51.4 \n",
" \n",
" \n",
" 5 \n",
" vs Frosinone \n",
- " 21.0 \n",
- " 54.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 23.0 \n",
+ " 51.8 \n",
" 4.0 \n",
- " 3.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 6.0 \n",
+ " 5.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 41.0 \n",
- " 31.0 \n",
- " 4.0 \n",
+ " 50.0 \n",
+ " 39.0 \n",
+ " 6.0 \n",
" 0.0 \n",
- " 1.0 \n",
+ " 2.0 \n",
" 0.0 \n",
- " 168.0 \n",
- " 46.0 \n",
- " 42.0 \n",
- " 52.3 \n",
+ " 212.0 \n",
+ " 53.0 \n",
+ " 52.0 \n",
+ " 50.5 \n",
" \n",
" \n",
" 6 \n",
" vs Genoa \n",
- " 18.0 \n",
- " 67.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 5.0 \n",
+ " 19.0 \n",
+ " 66.8 \n",
" 4.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " ... \n",
- " 35.0 \n",
- " 31.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 7.0 \n",
" 6.0 \n",
" 0.0 \n",
" 0.0 \n",
+ " ... \n",
+ " 43.0 \n",
+ " 43.0 \n",
+ " 9.0 \n",
" 0.0 \n",
- " 148.0 \n",
- " 32.0 \n",
- " 44.0 \n",
- " 42.1 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 200.0 \n",
+ " 46.0 \n",
+ " 60.0 \n",
+ " 43.4 \n",
" \n",
" \n",
" 7 \n",
" vs Hellas Verona \n",
- " 19.0 \n",
- " 55.3 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 21.0 \n",
+ " 56.5 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 4.0 \n",
" 2.0 \n",
" 1.0 \n",
" 1.0 \n",
" ... \n",
- " 37.0 \n",
" 47.0 \n",
- " 6.0 \n",
+ " 63.0 \n",
+ " 7.0 \n",
" 1.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 138.0 \n",
- " 54.0 \n",
+ " 190.0 \n",
" 71.0 \n",
- " 43.2 \n",
+ " 82.0 \n",
+ " 46.4 \n",
" \n",
" \n",
" 8 \n",
" vs Inter \n",
- " 18.0 \n",
- " 48.7 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 0.0 \n",
- " 0.0 \n",
+ " 19.0 \n",
+ " 51.3 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 1.0 \n",
+ " 1.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 34.0 \n",
+ " 47.0 \n",
+ " 44.0 \n",
+ " 5.0 \n",
+ " 0.0 \n",
+ " 2.0 \n",
+ " 0.0 \n",
+ " 163.0 \n",
" 30.0 \n",
- " 3.0 \n",
- " 0.0 \n",
- " 1.0 \n",
- " 0.0 \n",
- " 128.0 \n",
- " 24.0 \n",
- " 36.0 \n",
- " 40.0 \n",
+ " 44.0 \n",
+ " 40.5 \n",
" \n",
" \n",
" 9 \n",
" vs Juventus \n",
" 21.0 \n",
- " 47.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 1.0 \n",
- " 1.0 \n",
+ " 51.3 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 2.0 \n",
+ " 2.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 39.0 \n",
- " 36.0 \n",
+ " 52.0 \n",
+ " 49.0 \n",
" 5.0 \n",
" 0.0 \n",
" 2.0 \n",
" 0.0 \n",
- " 134.0 \n",
- " 22.0 \n",
+ " 173.0 \n",
" 26.0 \n",
- " 45.8 \n",
+ " 38.0 \n",
+ " 40.6 \n",
" \n",
" \n",
" 10 \n",
" vs Lazio \n",
- " 19.0 \n",
- " 46.7 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 20.0 \n",
+ " 44.0 \n",
" 4.0 \n",
- " 2.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 7.0 \n",
+ " 5.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 36.0 \n",
- " 31.0 \n",
- " 6.0 \n",
+ " 49.0 \n",
+ " 44.0 \n",
+ " 7.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 155.0 \n",
- " 39.0 \n",
- " 26.0 \n",
- " 60.0 \n",
+ " 196.0 \n",
+ " 51.0 \n",
+ " 30.0 \n",
+ " 63.0 \n",
" \n",
" \n",
" 11 \n",
" vs Lecce \n",
- " 18.0 \n",
- " 55.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 3.0 \n",
- " 3.0 \n",
+ " 19.0 \n",
+ " 56.5 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 47.0 \n",
+ " 64.0 \n",
+ " 53.0 \n",
+ " 5.0 \n",
+ " 0.0 \n",
+ " 2.0 \n",
+ " 0.0 \n",
+ " 203.0 \n",
" 43.0 \n",
- " 4.0 \n",
- " 0.0 \n",
- " 1.0 \n",
- " 0.0 \n",
- " 150.0 \n",
- " 33.0 \n",
- " 46.0 \n",
- " 41.8 \n",
+ " 54.0 \n",
+ " 44.3 \n",
" \n",
" \n",
" 12 \n",
" vs Milan \n",
- " 18.0 \n",
- " 46.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 2.0 \n",
- " 2.0 \n",
- " 0.0 \n",
- " 0.0 \n",
+ " 19.0 \n",
+ " 44.8 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 7.0 \n",
+ " 6.0 \n",
+ " 1.0 \n",
+ " 1.0 \n",
" ... \n",
- " 40.0 \n",
- " 31.0 \n",
- " 5.0 \n",
- " 0.0 \n",
+ " 56.0 \n",
+ " 43.0 \n",
+ " 7.0 \n",
+ " 1.0 \n",
" 3.0 \n",
" 0.0 \n",
- " 145.0 \n",
- " 34.0 \n",
- " 27.0 \n",
- " 55.7 \n",
+ " 176.0 \n",
+ " 42.0 \n",
+ " 33.0 \n",
+ " 56.0 \n",
" \n",
" \n",
" 13 \n",
" vs Monza \n",
- " 21.0 \n",
- " 44.7 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 5.0 \n",
- " 5.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " ... \n",
- " 26.0 \n",
- " 35.0 \n",
+ " 22.0 \n",
+ " 43.3 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 6.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 144.0 \n",
+ " 5.0 \n",
+ " 1.0 \n",
+ " 1.0 \n",
+ " ... \n",
" 37.0 \n",
- " 27.0 \n",
- " 57.8 \n",
+ " 52.0 \n",
+ " 6.0 \n",
+ " 1.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 187.0 \n",
+ " 45.0 \n",
+ " 37.0 \n",
+ " 54.9 \n",
" \n",
" \n",
" 14 \n",
" vs Napoli \n",
- " 18.0 \n",
- " 39.7 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 3.0 \n",
- " 2.0 \n",
+ " 19.0 \n",
+ " 38.3 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 5.0 \n",
+ " 4.0 \n",
" 1.0 \n",
" 1.0 \n",
" ... \n",
- " 33.0 \n",
- " 33.0 \n",
- " 6.0 \n",
+ " 47.0 \n",
+ " 39.0 \n",
+ " 7.0 \n",
" 1.0 \n",
" 2.0 \n",
" 0.0 \n",
- " 124.0 \n",
- " 19.0 \n",
- " 33.0 \n",
- " 36.5 \n",
+ " 173.0 \n",
+ " 35.0 \n",
+ " 47.0 \n",
+ " 42.7 \n",
" \n",
" \n",
" 15 \n",
" vs Roma \n",
- " 21.0 \n",
- " 41.7 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 23.0 \n",
+ " 43.0 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 6.0 \n",
" 4.0 \n",
" 1.0 \n",
" 1.0 \n",
" ... \n",
- " 41.0 \n",
- " 36.0 \n",
- " 2.0 \n",
+ " 46.0 \n",
+ " 51.0 \n",
+ " 4.0 \n",
" 1.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 114.0 \n",
- " 45.0 \n",
- " 64.0 \n",
- " 41.3 \n",
+ " 1.0 \n",
+ " 1.0 \n",
+ " 159.0 \n",
+ " 54.0 \n",
+ " 76.0 \n",
+ " 41.5 \n",
" \n",
" \n",
" 16 \n",
" vs Salernitana \n",
" 21.0 \n",
- " 50.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 5.0 \n",
+ " 48.5 \n",
" 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 8.0 \n",
+ " 5.0 \n",
" 1.0 \n",
" 1.0 \n",
" ... \n",
- " 48.0 \n",
- " 34.0 \n",
- " 2.0 \n",
+ " 64.0 \n",
+ " 46.0 \n",
+ " 4.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 151.0 \n",
- " 68.0 \n",
- " 37.0 \n",
- " 64.8 \n",
+ " 203.0 \n",
+ " 86.0 \n",
+ " 54.0 \n",
+ " 61.4 \n",
" \n",
" \n",
" 17 \n",
" vs Sassuolo \n",
- " 22.0 \n",
- " 57.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 5.0 \n",
+ " 24.0 \n",
+ " 56.5 \n",
" 4.0 \n",
- " 1.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 9.0 \n",
+ " 6.0 \n",
" 2.0 \n",
+ " 3.0 \n",
" ... \n",
- " 35.0 \n",
- " 25.0 \n",
- " 10.0 \n",
- " 1.0 \n",
+ " 45.0 \n",
+ " 34.0 \n",
+ " 15.0 \n",
+ " 2.0 \n",
" 1.0 \n",
" 0.0 \n",
- " 159.0 \n",
- " 40.0 \n",
- " 30.0 \n",
- " 57.1 \n",
+ " 207.0 \n",
+ " 50.0 \n",
+ " 37.0 \n",
+ " 57.5 \n",
" \n",
" \n",
" 18 \n",
" vs Torino \n",
- " 20.0 \n",
- " 46.3 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 22.0 \n",
+ " 48.8 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 4.0 \n",
" 2.0 \n",
" 2.0 \n",
" 2.0 \n",
" ... \n",
- " 32.0 \n",
- " 33.0 \n",
- " 5.0 \n",
+ " 44.0 \n",
+ " 48.0 \n",
+ " 7.0 \n",
" 1.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 151.0 \n",
- " 46.0 \n",
- " 41.0 \n",
- " 52.9 \n",
+ " 207.0 \n",
+ " 63.0 \n",
+ " 59.0 \n",
+ " 51.6 \n",
" \n",
" \n",
" 19 \n",
" vs Udinese \n",
- " 18.0 \n",
- " 53.3 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 22.0 \n",
+ " 51.5 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 4.0 \n",
" 3.0 \n",
" 1.0 \n",
" 1.0 \n",
" ... \n",
- " 31.0 \n",
- " 41.0 \n",
- " 7.0 \n",
+ " 43.0 \n",
+ " 51.0 \n",
+ " 10.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 137.0 \n",
- " 38.0 \n",
- " 48.0 \n",
- " 44.2 \n",
+ " 188.0 \n",
+ " 52.0 \n",
+ " 64.0 \n",
+ " 44.8 \n",
" \n",
" \n",
"\n",
@@ -2633,92 +2723,92 @@
],
"text/plain": [
" team players_used possession games games_starts minutes \\\n",
- "0 vs Atalanta 20.0 48.3 3.0 33.0 270.0 \n",
- "1 vs Bologna 20.0 44.7 3.0 33.0 270.0 \n",
- "2 vs Cagliari 19.0 65.0 3.0 33.0 270.0 \n",
- "3 vs Empoli 26.0 52.0 3.0 33.0 270.0 \n",
- "4 vs Fiorentina 21.0 37.7 3.0 33.0 270.0 \n",
- "5 vs Frosinone 21.0 54.0 3.0 33.0 270.0 \n",
- "6 vs Genoa 18.0 67.0 3.0 33.0 270.0 \n",
- "7 vs Hellas Verona 19.0 55.3 3.0 33.0 270.0 \n",
- "8 vs Inter 18.0 48.7 3.0 33.0 270.0 \n",
- "9 vs Juventus 21.0 47.0 3.0 33.0 270.0 \n",
- "10 vs Lazio 19.0 46.7 3.0 33.0 270.0 \n",
- "11 vs Lecce 18.0 55.0 3.0 33.0 270.0 \n",
- "12 vs Milan 18.0 46.0 3.0 33.0 270.0 \n",
- "13 vs Monza 21.0 44.7 3.0 33.0 270.0 \n",
- "14 vs Napoli 18.0 39.7 3.0 33.0 270.0 \n",
- "15 vs Roma 21.0 41.7 3.0 33.0 270.0 \n",
- "16 vs Salernitana 21.0 50.0 3.0 33.0 270.0 \n",
- "17 vs Sassuolo 22.0 57.0 3.0 33.0 270.0 \n",
- "18 vs Torino 20.0 46.3 3.0 33.0 270.0 \n",
- "19 vs Udinese 18.0 53.3 3.0 33.0 270.0 \n",
+ "0 vs Atalanta 23.0 50.5 4.0 44.0 360.0 \n",
+ "1 vs Bologna 22.0 43.5 4.0 44.0 360.0 \n",
+ "2 vs Cagliari 21.0 62.3 4.0 44.0 360.0 \n",
+ "3 vs Empoli 27.0 52.3 4.0 44.0 360.0 \n",
+ "4 vs Fiorentina 22.0 39.0 4.0 44.0 360.0 \n",
+ "5 vs Frosinone 23.0 51.8 4.0 44.0 360.0 \n",
+ "6 vs Genoa 19.0 66.8 4.0 44.0 360.0 \n",
+ "7 vs Hellas Verona 21.0 56.5 4.0 44.0 360.0 \n",
+ "8 vs Inter 19.0 51.3 4.0 44.0 360.0 \n",
+ "9 vs Juventus 21.0 51.3 4.0 44.0 360.0 \n",
+ "10 vs Lazio 20.0 44.0 4.0 44.0 360.0 \n",
+ "11 vs Lecce 19.0 56.5 4.0 44.0 360.0 \n",
+ "12 vs Milan 19.0 44.8 4.0 44.0 360.0 \n",
+ "13 vs Monza 22.0 43.3 4.0 44.0 360.0 \n",
+ "14 vs Napoli 19.0 38.3 4.0 44.0 360.0 \n",
+ "15 vs Roma 23.0 43.0 4.0 44.0 360.0 \n",
+ "16 vs Salernitana 21.0 48.5 4.0 44.0 360.0 \n",
+ "17 vs Sassuolo 24.0 56.5 4.0 44.0 360.0 \n",
+ "18 vs Torino 22.0 48.8 4.0 44.0 360.0 \n",
+ "19 vs Udinese 22.0 51.5 4.0 44.0 360.0 \n",
"\n",
" goals assists pens_made pens_att ... fouls fouled offsides \\\n",
- "0 2.0 2.0 0.0 0.0 ... 28.0 33.0 2.0 \n",
- "1 4.0 4.0 0.0 0.0 ... 32.0 30.0 7.0 \n",
- "2 4.0 3.0 0.0 1.0 ... 27.0 29.0 4.0 \n",
- "3 5.0 3.0 0.0 1.0 ... 45.0 38.0 6.0 \n",
- "4 7.0 6.0 1.0 1.0 ... 42.0 36.0 3.0 \n",
- "5 4.0 3.0 0.0 0.0 ... 41.0 31.0 4.0 \n",
- "6 5.0 4.0 0.0 0.0 ... 35.0 31.0 6.0 \n",
- "7 4.0 2.0 1.0 1.0 ... 37.0 47.0 6.0 \n",
- "8 0.0 0.0 0.0 0.0 ... 34.0 30.0 3.0 \n",
- "9 1.0 1.0 0.0 0.0 ... 39.0 36.0 5.0 \n",
- "10 4.0 2.0 0.0 0.0 ... 36.0 31.0 6.0 \n",
- "11 3.0 3.0 0.0 0.0 ... 47.0 43.0 4.0 \n",
- "12 2.0 2.0 0.0 0.0 ... 40.0 31.0 5.0 \n",
- "13 5.0 5.0 0.0 0.0 ... 26.0 35.0 6.0 \n",
- "14 3.0 2.0 1.0 1.0 ... 33.0 33.0 6.0 \n",
- "15 6.0 4.0 1.0 1.0 ... 41.0 36.0 2.0 \n",
- "16 5.0 4.0 1.0 1.0 ... 48.0 34.0 2.0 \n",
- "17 5.0 4.0 1.0 2.0 ... 35.0 25.0 10.0 \n",
- "18 4.0 2.0 2.0 2.0 ... 32.0 33.0 5.0 \n",
- "19 4.0 3.0 1.0 1.0 ... 31.0 41.0 7.0 \n",
+ "0 5.0 4.0 0.0 0.0 ... 36.0 47.0 2.0 \n",
+ "1 4.0 4.0 0.0 0.0 ... 50.0 40.0 12.0 \n",
+ "2 4.0 3.0 0.0 1.0 ... 38.0 41.0 5.0 \n",
+ "3 11.0 8.0 1.0 2.0 ... 60.0 42.0 8.0 \n",
+ "4 9.0 8.0 1.0 1.0 ... 56.0 43.0 5.0 \n",
+ "5 6.0 5.0 0.0 0.0 ... 50.0 39.0 6.0 \n",
+ "6 7.0 6.0 0.0 0.0 ... 43.0 43.0 9.0 \n",
+ "7 4.0 2.0 1.0 1.0 ... 47.0 63.0 7.0 \n",
+ "8 1.0 1.0 0.0 0.0 ... 47.0 44.0 5.0 \n",
+ "9 2.0 2.0 0.0 0.0 ... 52.0 49.0 5.0 \n",
+ "10 7.0 5.0 0.0 0.0 ... 49.0 44.0 7.0 \n",
+ "11 4.0 4.0 0.0 0.0 ... 64.0 53.0 5.0 \n",
+ "12 7.0 6.0 1.0 1.0 ... 56.0 43.0 7.0 \n",
+ "13 6.0 5.0 1.0 1.0 ... 37.0 52.0 6.0 \n",
+ "14 5.0 4.0 1.0 1.0 ... 47.0 39.0 7.0 \n",
+ "15 6.0 4.0 1.0 1.0 ... 46.0 51.0 4.0 \n",
+ "16 8.0 5.0 1.0 1.0 ... 64.0 46.0 4.0 \n",
+ "17 9.0 6.0 2.0 3.0 ... 45.0 34.0 15.0 \n",
+ "18 4.0 2.0 2.0 2.0 ... 44.0 48.0 7.0 \n",
+ "19 4.0 3.0 1.0 1.0 ... 43.0 51.0 10.0 \n",
"\n",
" pens_won pens_conceded own_goals ball_recoveries aerials_won \\\n",
- "0 0.0 0.0 0.0 157.0 44.0 \n",
- "1 0.0 1.0 0.0 157.0 23.0 \n",
- "2 0.0 0.0 0.0 165.0 44.0 \n",
- "3 1.0 0.0 0.0 152.0 42.0 \n",
- "4 1.0 0.0 0.0 142.0 38.0 \n",
- "5 0.0 1.0 0.0 168.0 46.0 \n",
- "6 0.0 0.0 0.0 148.0 32.0 \n",
- "7 1.0 0.0 0.0 138.0 54.0 \n",
- "8 0.0 1.0 0.0 128.0 24.0 \n",
- "9 0.0 2.0 0.0 134.0 22.0 \n",
- "10 0.0 0.0 0.0 155.0 39.0 \n",
- "11 0.0 1.0 0.0 150.0 33.0 \n",
- "12 0.0 3.0 0.0 145.0 34.0 \n",
- "13 0.0 0.0 0.0 144.0 37.0 \n",
- "14 1.0 2.0 0.0 124.0 19.0 \n",
- "15 1.0 0.0 0.0 114.0 45.0 \n",
- "16 0.0 0.0 0.0 151.0 68.0 \n",
- "17 1.0 1.0 0.0 159.0 40.0 \n",
- "18 1.0 0.0 0.0 151.0 46.0 \n",
- "19 0.0 0.0 0.0 137.0 38.0 \n",
+ "0 0.0 0.0 0.0 212.0 65.0 \n",
+ "1 0.0 1.0 0.0 207.0 34.0 \n",
+ "2 0.0 0.0 0.0 220.0 60.0 \n",
+ "3 1.0 0.0 0.0 203.0 54.0 \n",
+ "4 1.0 0.0 0.0 202.0 56.0 \n",
+ "5 0.0 2.0 0.0 212.0 53.0 \n",
+ "6 0.0 0.0 0.0 200.0 46.0 \n",
+ "7 1.0 0.0 0.0 190.0 71.0 \n",
+ "8 0.0 2.0 0.0 163.0 30.0 \n",
+ "9 0.0 2.0 0.0 173.0 26.0 \n",
+ "10 0.0 0.0 0.0 196.0 51.0 \n",
+ "11 0.0 2.0 0.0 203.0 43.0 \n",
+ "12 1.0 3.0 0.0 176.0 42.0 \n",
+ "13 1.0 0.0 0.0 187.0 45.0 \n",
+ "14 1.0 2.0 0.0 173.0 35.0 \n",
+ "15 1.0 1.0 1.0 159.0 54.0 \n",
+ "16 0.0 0.0 0.0 203.0 86.0 \n",
+ "17 2.0 1.0 0.0 207.0 50.0 \n",
+ "18 1.0 0.0 0.0 207.0 63.0 \n",
+ "19 0.0 0.0 0.0 188.0 52.0 \n",
"\n",
" aerials_lost aerials_won_pct \n",
- "0 42.0 51.2 \n",
- "1 29.0 44.2 \n",
- "2 37.0 54.3 \n",
- "3 30.0 58.3 \n",
- "4 32.0 54.3 \n",
- "5 42.0 52.3 \n",
- "6 44.0 42.1 \n",
- "7 71.0 43.2 \n",
- "8 36.0 40.0 \n",
- "9 26.0 45.8 \n",
- "10 26.0 60.0 \n",
- "11 46.0 41.8 \n",
- "12 27.0 55.7 \n",
- "13 27.0 57.8 \n",
- "14 33.0 36.5 \n",
- "15 64.0 41.3 \n",
- "16 37.0 64.8 \n",
- "17 30.0 57.1 \n",
- "18 41.0 52.9 \n",
- "19 48.0 44.2 \n",
+ "0 60.0 52.0 \n",
+ "1 46.0 42.5 \n",
+ "2 51.0 54.1 \n",
+ "3 39.0 58.1 \n",
+ "4 53.0 51.4 \n",
+ "5 52.0 50.5 \n",
+ "6 60.0 43.4 \n",
+ "7 82.0 46.4 \n",
+ "8 44.0 40.5 \n",
+ "9 38.0 40.6 \n",
+ "10 30.0 63.0 \n",
+ "11 54.0 44.3 \n",
+ "12 33.0 56.0 \n",
+ "13 37.0 54.9 \n",
+ "14 47.0 42.7 \n",
+ "15 76.0 41.5 \n",
+ "16 54.0 61.4 \n",
+ "17 37.0 57.5 \n",
+ "18 59.0 51.6 \n",
+ "19 64.0 44.8 \n",
"\n",
"[20 rows x 152 columns]"
]
diff --git a/.ipynb_checkpoints/2_votes_dataset_creation-checkpoint.ipynb b/.ipynb_checkpoints/2_votes_dataset_creation-checkpoint.ipynb
index 25e29c8..03e0593 100644
--- a/.ipynb_checkpoints/2_votes_dataset_creation-checkpoint.ipynb
+++ b/.ipynb_checkpoints/2_votes_dataset_creation-checkpoint.ipynb
@@ -191,7 +191,8 @@
"text": [
"loaded votes for matchday 1\n",
"loaded votes for matchday 2\n",
- "loaded votes for matchday 3\n"
+ "loaded votes for matchday 3\n",
+ "loaded votes for matchday 4\n"
]
}
],
@@ -373,103 +374,103 @@
" ... \n",
" \n",
" \n",
- " 859 \n",
- " 3 \n",
- " Folorunsho \n",
- " Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.0 \n",
- " \n",
- " \n",
- " 860 \n",
- " 3 \n",
+ " 1154 \n",
+ " 4 \n",
" Serdar \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.5 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
" 0 \n",
" 0 \n",
- " 0.0 \n",
+ " 0.5 \n",
" 5.5 \n",
" \n",
" \n",
- " 861 \n",
- " 3 \n",
+ " 1155 \n",
+ " 4 \n",
+ " Suslov \n",
+ " Verona \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.5 \n",
+ " 5.5 \n",
+ " \n",
+ " \n",
+ " 1156 \n",
+ " 4 \n",
" Bonazzoli \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.5 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
" 0 \n",
" 0 \n",
" 0.0 \n",
- " 5.5 \n",
+ " 6.0 \n",
" \n",
" \n",
- " 862 \n",
- " 3 \n",
+ " 1157 \n",
+ " 4 \n",
" Djuric \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 6.0 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 5.5 \n",
" 0 \n",
" 0 \n",
" 0.0 \n",
- " 6.0 \n",
+ " 5.5 \n",
" \n",
" \n",
- " 863 \n",
- " 3 \n",
+ " 1158 \n",
+ " 4 \n",
" Ngonge \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 6.5 \n",
+ " Bologna \n",
" 1 \n",
+ " 5.5 \n",
+ " 0 \n",
" 0 \n",
" 0.0 \n",
- " 9.5 \n",
+ " 5.5 \n",
" \n",
" \n",
"\n",
- "864 rows × 10 columns
\n",
+ "1159 rows × 10 columns
\n",
""
],
"text/plain": [
- " matchday player team oppteam home vote goals assists \\\n",
- "0 1 Musso Atalanta Sassuolo 0 6.5 0 0 \n",
- "1 1 Zappacosta Atalanta Sassuolo 0 6.5 0 0 \n",
- "2 1 Djimsiti Atalanta Sassuolo 0 6.0 0 0 \n",
- "3 1 Kolasinac Atalanta Sassuolo 0 6.5 0 0 \n",
- "4 1 Zortea Atalanta Sassuolo 0 7.0 1 0 \n",
- ".. ... ... ... ... ... ... ... ... \n",
- "859 3 Folorunsho Verona Sassuolo 0 5.0 0 0 \n",
- "860 3 Serdar Verona Sassuolo 0 5.5 0 0 \n",
- "861 3 Bonazzoli Verona Sassuolo 0 5.5 0 0 \n",
- "862 3 Djuric Verona Sassuolo 0 6.0 0 0 \n",
- "863 3 Ngonge Verona Sassuolo 0 6.5 1 0 \n",
+ " matchday player team oppteam home vote goals assists \\\n",
+ "0 1 Musso Atalanta Sassuolo 0 6.5 0 0 \n",
+ "1 1 Zappacosta Atalanta Sassuolo 0 6.5 0 0 \n",
+ "2 1 Djimsiti Atalanta Sassuolo 0 6.0 0 0 \n",
+ "3 1 Kolasinac Atalanta Sassuolo 0 6.5 0 0 \n",
+ "4 1 Zortea Atalanta Sassuolo 0 7.0 1 0 \n",
+ "... ... ... ... ... ... ... ... ... \n",
+ "1154 4 Serdar Verona Bologna 1 6.0 0 0 \n",
+ "1155 4 Suslov Verona Bologna 1 6.0 0 0 \n",
+ "1156 4 Bonazzoli Verona Bologna 1 6.0 0 0 \n",
+ "1157 4 Djuric Verona Bologna 1 5.5 0 0 \n",
+ "1158 4 Ngonge Verona Bologna 1 5.5 0 0 \n",
"\n",
- " cards_malus fantavote \n",
- "0 0.0 6.5 \n",
- "1 0.0 6.5 \n",
- "2 0.0 6.0 \n",
- "3 0.0 6.5 \n",
- "4 0.0 10.0 \n",
- ".. ... ... \n",
- "859 0.0 5.0 \n",
- "860 0.0 5.5 \n",
- "861 0.0 5.5 \n",
- "862 0.0 6.0 \n",
- "863 0.0 9.5 \n",
+ " cards_malus fantavote \n",
+ "0 0.0 6.5 \n",
+ "1 0.0 6.5 \n",
+ "2 0.0 6.0 \n",
+ "3 0.0 6.5 \n",
+ "4 0.0 10.0 \n",
+ "... ... ... \n",
+ "1154 0.5 5.5 \n",
+ "1155 0.5 5.5 \n",
+ "1156 0.0 6.0 \n",
+ "1157 0.0 5.5 \n",
+ "1158 0.0 5.5 \n",
"\n",
- "[864 rows x 10 columns]"
+ "[1159 rows x 10 columns]"
]
},
"execution_count": 5,
diff --git a/.ipynb_checkpoints/3_players_dataset_creation-checkpoint.ipynb b/.ipynb_checkpoints/3_players_dataset_creation-checkpoint.ipynb
index 1604a15..dfc64dd 100644
--- a/.ipynb_checkpoints/3_players_dataset_creation-checkpoint.ipynb
+++ b/.ipynb_checkpoints/3_players_dataset_creation-checkpoint.ipynb
@@ -14,7 +14,7 @@
},
{
"cell_type": "code",
- "execution_count": 31,
+ "execution_count": 1,
"id": "7c65df92",
"metadata": {},
"outputs": [],
@@ -34,7 +34,7 @@
},
{
"cell_type": "code",
- "execution_count": 32,
+ "execution_count": 2,
"id": "b2d7073e",
"metadata": {},
"outputs": [],
@@ -48,7 +48,7 @@
},
{
"cell_type": "code",
- "execution_count": 33,
+ "execution_count": 3,
"id": "667970f6",
"metadata": {},
"outputs": [
@@ -80,82 +80,82 @@
" \n",
" \n",
" 0 \n",
+ " Francesco Acerbi \n",
+ " Inter \n",
+ " \n",
+ " \n",
+ " 1 \n",
" Michel Aebischer \n",
" Bologna \n",
" \n",
" \n",
- " 1 \n",
+ " 2 \n",
" Luis Alberto \n",
" Lazio \n",
" \n",
" \n",
- " 2 \n",
+ " 3 \n",
" Pontus Almqvist \n",
" Lecce \n",
" \n",
" \n",
- " 3 \n",
+ " 4 \n",
" Lorenzo Amatucci \n",
" Fiorentina \n",
" \n",
" \n",
- " 4 \n",
- " Bruno Amione \n",
- " Hellas Verona \n",
- " \n",
- " \n",
" ... \n",
" ... \n",
" ... \n",
" \n",
" \n",
- " 419 \n",
- " Łukasz Skorupski \n",
- " Bologna \n",
- " \n",
- " \n",
- " 420 \n",
+ " 452 \n",
" Yann Sommer \n",
" Inter \n",
" \n",
" \n",
- " 421 \n",
+ " 453 \n",
+ " Alessandro Sorrentino \n",
+ " Monza \n",
+ " \n",
+ " \n",
+ " 454 \n",
" Wojciech Szczęsny \n",
" Juventus \n",
" \n",
" \n",
- " 422 \n",
+ " 455 \n",
" Pietro Terracciano \n",
" Fiorentina \n",
" \n",
" \n",
- " 423 \n",
+ " 456 \n",
" Stefano Turati \n",
" Frosinone \n",
" \n",
" \n",
"\n",
- "424 rows × 2 columns
\n",
+ "457 rows × 2 columns
\n",
""
],
"text/plain": [
- " player team\n",
- "0 Michel Aebischer Bologna\n",
- "1 Luis Alberto Lazio\n",
- "2 Pontus Almqvist Lecce\n",
- "3 Lorenzo Amatucci Fiorentina\n",
- "4 Bruno Amione Hellas Verona\n",
- ".. ... ...\n",
- "419 Łukasz Skorupski Bologna\n",
- "420 Yann Sommer Inter\n",
- "421 Wojciech Szczęsny Juventus\n",
- "422 Pietro Terracciano Fiorentina\n",
- "423 Stefano Turati Frosinone\n",
+ " player team\n",
+ "0 Francesco Acerbi Inter\n",
+ "1 Michel Aebischer Bologna\n",
+ "2 Luis Alberto Lazio\n",
+ "3 Pontus Almqvist Lecce\n",
+ "4 Lorenzo Amatucci Fiorentina\n",
+ ".. ... ...\n",
+ "452 Yann Sommer Inter\n",
+ "453 Alessandro Sorrentino Monza\n",
+ "454 Wojciech Szczęsny Juventus\n",
+ "455 Pietro Terracciano Fiorentina\n",
+ "456 Stefano Turati Frosinone\n",
"\n",
- "[424 rows x 2 columns]"
+ "[457 rows x 2 columns]"
]
},
- "execution_count": 33,
+ "execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
@@ -170,7 +170,7 @@
},
{
"cell_type": "code",
- "execution_count": 34,
+ "execution_count": 4,
"id": "e1e64596",
"metadata": {},
"outputs": [],
@@ -185,7 +185,7 @@
},
{
"cell_type": "code",
- "execution_count": 35,
+ "execution_count": 5,
"id": "3078d6f3",
"metadata": {},
"outputs": [],
@@ -203,7 +203,7 @@
},
{
"cell_type": "code",
- "execution_count": 36,
+ "execution_count": 6,
"id": "ffd6091c",
"metadata": {},
"outputs": [
@@ -212,430 +212,463 @@
"output_type": "stream",
"text": [
" player surname\n",
- "0 Michel Aebischer Aebischer\n",
- "1 Luis Alberto Alberto\n",
- "2 Pontus Almqvist Almqvist\n",
- "3 Lorenzo Amatucci Amatucci\n",
- "4 Bruno Amione Amione\n",
- "5 Felipe Anderson Anderson\n",
- "6 Houssem Aouar Aouar\n",
- "7 Marko Arnautović Arnautovic\n",
- "8 Kristjan Asllani Asllani\n",
- "9 Tommaso Augello Augello\n",
- "10 Yann Aurel Bisseck Bisseck\n",
- "11 Paulo Azzi Azzi\n",
- "12 Oussama El Azzouzi Azzouzi\n",
- "13 Milan Badelj Badelj\n",
- "14 Jaime Báez Baez\n",
- "15 Nedim Bajrami Bajrami\n",
- "16 Mitchel Bakker Bakker\n",
- "17 Tommaso Baldanzi Baldanzi\n",
- "18 Lameck Banda Banda\n",
- "19 Mattia Bani Bani\n",
- "20 Nicolò Barella Barella\n",
- "21 Enzo Barrenechea Barrenechea\n",
- "22 Federico Baschirotto Baschirotto\n",
- "23 Alessandro Bastoni Bastoni\n",
- "24 Raoul Bellanova Bellanova\n",
- "25 Andrea Belotti Belotti\n",
- "26 Lucas Beltrán Beltran\n",
- "27 Domenico Berardi Berardi\n",
- "28 Bartosz Bereszyński Bereszynski\n",
- "29 Etrit Berisha Berisha\n",
- "30 Victor Bernth Kristiansen Kristiansen\n",
- "31 Beto Beto\n",
- "32 Sam Beukema Beukema\n",
- "33 Jaka Bijol Bijol\n",
- "34 Cristiano Biraghi Biraghi\n",
- "35 Davide Biraschi Biraschi\n",
- "36 Samuele Birindelli Birindelli\n",
- "37 Alexis Blin Blin\n",
- "38 Emil Bohinen Bohinen\n",
- "39 Daniel Boloca Boloca\n",
- "40 Giacomo Bonaventura Bonaventura\n",
- "41 Federico Bonazzoli Bonazzoli\n",
- "42 Warren Bondo Bondo\n",
- "43 Gennaro Borrelli Borrelli\n",
- "44 Erik Botheim Botheim\n",
- "45 Edoardo Bove Bove\n",
- "46 Domagoj Bradarić Bradaric\n",
- "47 Josip Brekalo Brekalo\n",
- "48 Gleison Bremer Bremer\n",
- "49 Marco Brescianini Brescianini\n",
- "50 Alessandro Buongiorno Buongiorno\n",
- "51 Rareș-Cătălin Burnete Burnete\n",
- "52 Juan Cabal Cabal\n",
- "53 Jovane Cabral Cabral\n",
- "54 Liberato Cacace Cacace\n",
- "55 Jens Cajuste Cajuste\n",
- "56 Davide Calabria Calabria\n",
- "57 Luca Caldirola Caldirola\n",
- "58 Hakan Çalhanoğlu Calhanoglu\n",
- "59 Nicolò Cambiaghi Cambiaghi\n",
- "60 Andrea Cambiaso Cambiaso\n",
- "61 Matteo Cancellieri Cancellieri\n",
- "62 Antonio Candreva Candreva\n",
- "63 Luigi Canotto Canotto\n",
- "64 Gianluca Caprari Caprari\n",
- "65 Elia Caprile Caprile\n",
- "66 Francesco Caputo Caputo\n",
- "67 Andrea Carboni Carboni\n",
- "68 Valentin Carboni Carboni\n",
- "69 Carlos Carlos\n",
- "70 Nicolò Casale Casale\n",
- "71 Giuseppe Caso Caso\n",
- "72 Valentín Castellanos Castellanos\n",
- "73 Danilo Cataldi Cataldi\n",
- "74 Emil Ceide Ceide\n",
- "75 Zeki Çelik Celik\n",
- "76 Michele Cerofolini Cerofolini\n",
- "77 Walid Cheddira Cheddira\n",
- "78 Federico Chiesa Chiesa\n",
- "79 Oliver Christensen Christensen\n",
- "80 Samuel Chukwueze Chukwueze\n",
- "81 Patrick Ciurria Ciurria\n",
- "82 Lorenzo Colombo Colombo\n",
- "83 Andrea Colpani Colpani\n",
- "84 Andrea Consigli Consigli\n",
- "85 Diego Coppola Coppola\n",
- "86 Tommaso Corazza Corazza\n",
- "87 Lassana Coulibaly Coulibaly\n",
- "88 Mamadou Coulibaly Coulibaly\n",
- "89 Bryan Cristante Cristante\n",
- "90 Juan Cuadrado Cuadrado\n",
- "91 Marvin Cuni Cuni\n",
- "92 Danilo D'Ambrosio DAmbrosio\n",
- "93 Danilo Danilo\n",
- "94 Matteo Darmian Darmian\n",
- "95 Paweł Dawidowicz Dawidowicz\n",
- "96 Charles De Ketelaere Ketelaere\n",
- "97 Lorenzo De Silvestri Silvestri\n",
- "98 Grégoire Defrel Defrel\n",
- "99 Alessandro Deiola Deiola\n",
- "100 Mattia Destro Destro\n",
- "101 Federico Di Francesco Francesco\n",
- "102 Michele Di Gregorio Gregorio\n",
- "103 Giovanni Di Lorenzo Lorenzo\n",
- "104 Alessandro Di Pardo Pardo\n",
- "105 Boulaye Dia Dia\n",
- "106 Federico Dimarco Dimarco\n",
- "107 Berat Djimsiti Djimsiti\n",
- "108 Dodô Dodo\n",
- "109 Josh Doig Doig\n",
- "110 Nicolás Domínguez Dominguez\n",
- "111 Patrick Dorgu Dorgu\n",
- "112 Alberto Dossena Dossena\n",
- "113 Radu Drăgușin Dragusin\n",
- "114 Ondrej Duda Duda\n",
- "115 Denzel Dumfries Dumfries\n",
- "116 Alfred Duncan Duncan\n",
- "117 Paulo Dybala Dybala\n",
- "118 Festy Ebosele Ebosele\n",
- "119 Tyronne Ebuehi Ebuehi\n",
- "120 Éderson Ederson\n",
- "121 Emmanuel Ekong Ekong\n",
- "122 Caleb Ekuban Ekuban\n",
- "123 Elif Elmas Elmas\n",
- "124 Martin Erlic Erlic\n",
- "125 Giovanni Fabbian Fabbian\n",
- "126 Nicolò Fagioli Fagioli\n",
- "127 Wladimiro Falcone Falcone\n",
- "128 Davide Faraoni Faraoni\n",
- "129 Federico Fazio Fazio\n",
- "130 Jacopo Fazzini Fazzini\n",
- "131 Lewis Ferguson Ferguson\n",
- "132 João Ferreira Ferreira\n",
- "133 Alessandro Florenzi Florenzi\n",
- "134 Michael Folorunsho Folorunsho\n",
- "135 Davide Frattesi Frattesi\n",
- "136 Morten Frendrup Frendrup\n",
- "137 Roberto Gagliardini Gagliardini\n",
- "138 Antonino Gallo Gallo\n",
- "139 Luca Garritano Garritano\n",
- "140 Federico Gatti Gatti\n",
- "141 Francesco Gelli Gelli\n",
- "142 Valentin Gendrey Gendrey\n",
- "143 Olivier Giroud Giroud\n",
- "144 Edoardo Goldaniga Goldaniga\n",
- "145 Joan Gonzàlez Gonzalez\n",
- "146 Nicolás González Gonzalez\n",
- "147 Alberto Grassi Grassi\n",
- "148 Mattéo Guendouzi Guendouzi\n",
- "149 Albert Guðmundsson Gumundsson\n",
- "150 Emmanuel Gyasi Gyasi\n",
- "151 Norbert Gyömbér Gyomber\n",
- "152 Nicolas Haas Haas\n",
- "153 Abdou Harroui Harroui\n",
- "154 Silvan Hefti Hefti\n",
- "155 Liam Henderson Henderson\n",
- "156 Matheus Henrique Henrique\n",
- "157 Theo Hernández Hernandez\n",
- "158 Isak Hien Hien\n",
- "159 Emil Holm Holm\n",
- "160 Martin Hongla Hongla\n",
- "161 Sydney van Hooijdonk Hooijdonk\n",
- "162 Elseid Hysaj Hysaj\n",
- "163 Chukwubuikem Ikwuemesi Ikwuemesi\n",
- "164 Ivan Ilić Ilic\n",
- "165 Samuel Iling-Junior Iling-Junior\n",
- "166 Ciro Immobile Immobile\n",
- "167 Gino Infantino Infantino\n",
- "168 Gustav Isaksen Isaksen\n",
- "169 Ardian Ismajli Ismajli\n",
- "170 Armando Izzo Izzo\n",
- "171 Filip Jagiełło Jagieo\n",
- "172 Jakub Jankto Jankto\n",
- "173 Juan Jesus Jesus\n",
- "174 Mohamed Kaba Kaba\n",
- "175 Christian Kabasele Kabasele\n",
- "176 Pierre Kalulu Kalulu\n",
- "177 Daichi Kamada Kamada\n",
- "178 Hassane Kamara Kamara\n",
- "179 Yann Karamoh Karamoh\n",
- "180 Jesper Karlsson Karlsson\n",
- "181 Rick Karsdorp Karsdorp\n",
- "182 Grigoris Kastanos Kastanos\n",
- "183 Michael Kayode Kayode\n",
- "184 Moise Kean Kean\n",
- "185 Simon Kjær Kjr\n",
- "186 Sead Kolašinac Kolasinac\n",
- "187 Teun Koopmeiners Koopmeiners\n",
- "188 Filip Kostić Kostic\n",
- "189 Christian Kouamé Kouame\n",
- "190 Viktor Kovalenko Kovalenko\n",
- "191 Nikola Krstović Krstovic\n",
- "192 Rade Krunić Krunic\n",
- "193 Berkan Kutlu Kutlu\n",
- "194 Khvicha Kvaratskhelia Kvaratskhelia\n",
- "195 Giorgi Kvernadze Kvernadze\n",
- "196 Giorgos Kyriakopoulos Kyriakopoulos\n",
- "197 Armand Lauriente Lauriente\n",
- "198 Valentino Lazaro Lazaro\n",
- "199 Manuel Lazzari Lazzari\n",
- "200 Rafael Leão Leao\n",
- "201 Jesper Lindstrøm Lindstrm\n",
- "202 Karol Linetty Linetty\n",
- "203 Diego Llorente Llorente\n",
- "204 Stanislav Lobotka Lobotka\n",
- "205 Manuel Locatelli Locatelli\n",
- "206 Ruben Loftus-Cheek Loftus-Cheek\n",
- "207 Ademola Lookman Lookman\n",
- "208 Maxime Lopez Lopez\n",
- "209 Matteo Lovato Lovato\n",
- "210 Sandi Lovrić Lovric\n",
- "211 Lorenzo Lucca Lucca\n",
- "212 Jhon Lucumí Lucumi\n",
- "213 José Luis Palomino Palomino\n",
- "214 Romelu Lukaku Lukaku\n",
- "215 Sebastiano Luperto Luperto\n",
- "216 Charalambos Lykogiannis Lykogiannis\n",
- "217 Giulio Maggiore Maggiore\n",
- "218 Giangiacomo Magnani Magnani\n",
- "219 Mike Maignan Maignan\n",
- "220 Antoine Makoumbou Makoumbou\n",
- "221 Youssef Maleh Maleh\n",
- "222 Ruslan Malinovskyi Malinovskyi\n",
- "223 Gianluca Mancini Mancini\n",
- "224 Rolando Mandragora Mandragora\n",
- "225 Riccardo Marchizza Marchizza\n",
- "226 Pablo Marí Mari\n",
- "227 Mirko Marić Maric\n",
- "228 Răzvan Marin Marin\n",
- "229 Agustín Martegani Martegani\n",
- "230 Aarón Martín Martin\n",
- "231 Josep Martinez Martinez\n",
- "232 Lautaro Martínez Martinez\n",
- "233 Lucas Martínez Quarta Quarta\n",
- "234 Adam Marušić Marusic\n",
- "235 Luca Mazzitelli Mazzitelli\n",
- "236 Pasquale Mazzocchi Mazzocchi\n",
- "237 Jordi Mboula Mboula\n",
- "238 Weston McKennie McKennie\n",
- "239 Arthur Melo Melo\n",
- "240 Alex Meret Meret\n",
- "241 Nikola Milenković Milenkovic\n",
- "242 Arkadiusz Milik Milik\n",
- "243 Vanja Milinković-Savić Milinkovic-Savic\n",
- "244 Kevin Miranda Miranda\n",
- "245 Fabio Miretti Miretti\n",
- "246 Filippo Missori Missori\n",
- "247 Henrikh Mkhitaryan Mkhitaryan\n",
- "248 Ilario Monterisi Monterisi\n",
- "249 Lorenzo Montipò Montipo\n",
- "250 Nikola Moro Moro\n",
- "251 Dany Mota Mota\n",
- "252 Samuele Mulattieri Mulattieri\n",
- "253 Luis Muriel Muriel\n",
- "254 Yunus Musah Musah\n",
- "255 Juan Musso Musso\n",
- "256 Nahitan Nández Nandez\n",
- "257 Michel Ndary Adopo Adopo\n",
- "258 Dan Ndoye Ndoye\n",
- "259 Cyril Ngonge Ngonge\n",
- "260 Rasmus Nissen Nissen\n",
- "261 M'Bala Nzola Nzola\n",
- "262 Adam Obert Obert\n",
- "263 Guillermo Ochoa Ochoa\n",
- "264 Noah Okafor Okafor\n",
- "265 Mathías Olivera Olivera\n",
- "266 Gaetano Oristanio Oristanio\n",
- "267 Riccardo Orsolini Orsolini\n",
- "268 Victor Osimhen Osimhen\n",
- "269 Anthony Oyono Oyono\n",
- "270 Riccardo Pagano Pagano\n",
- "271 Leandro Paredes Paredes\n",
- "272 Fabiano Parisi Parisi\n",
- "273 Mario Pašalić Pasalic\n",
- "274 Patric Patric\n",
- "275 Rui Patrício Patricio\n",
- "276 Leonardo Pavoletti Pavoletti\n",
- "277 Marcus Pedersen Pedersen\n",
- "278 Pedro Pedro\n",
- "279 Pietro Pellegri Pellegri\n",
- "280 Lorenzo Pellegrini Pellegrini\n",
- "281 Luca Pellegrini Pellegrini\n",
- "282 Pepín Pepin\n",
- "283 Pedro Pereira Pereira\n",
- "284 Nehuén Pérez Perez\n",
- "285 Mattia Perin Perin\n",
- "286 Samuele Perisan Perisan\n",
- "287 Matteo Pessina Pessina\n",
- "288 Andrea Petagna Petagna\n",
- "289 Giuseppe Pezzella Pezzella\n",
- "290 Roberto Piccoli Piccoli\n",
- "291 Roberto Piccoli Piccoli\n",
- "292 Andrea Pinamonti Pinamonti\n",
- "293 Lorenzo Pirola Pirola\n",
- "294 Tommaso Pobega Pobega\n",
- "295 Paul Pogba Pogba\n",
- "296 Matteo Politano Politano\n",
- "297 Marin Pongračić Pongracic\n",
- "298 Stefan Posch Posch\n",
- "299 Ivan Provedel Provedel\n",
- "300 Christian Pulisic Pulisic\n",
- "301 Domingos Quina Quina\n",
- "302 Adrien Rabiot Rabiot\n",
- "303 Uroš Račić Racic\n",
- "304 Nemanja Radonjić Radonjic\n",
- "305 Boris Radunović Radunovic\n",
- "306 Hamza Rafia Rafia\n",
- "307 Ylber Ramadani Ramadani\n",
- "308 Luca Ranieri Ranieri\n",
- "309 Giacomo Raspadori Raspadori\n",
- "310 Tijjani Reijnders Reijnders\n",
- "311 Mateo Retegui Retegui\n",
- "312 Samuele Ricci Ricci\n",
- "313 Ricardo Rodríguez Rodriguez\n",
- "314 Alessio Romagnoli Romagnoli\n",
- "315 Simone Romagnoli Romagnoli\n",
- "316 Marten de Roon Roon\n",
- "317 Amir Rrahmani Rrahmani\n",
- "318 Ruan Ruan\n",
- "319 Matteo Ruggeri Ruggeri\n",
- "320 Mário Rui Rui\n",
- "321 Stefano Sabelli Sabelli\n",
- "322 Lazar Samardzic Samardzic\n",
- "323 Junior Sambia Sambia\n",
- "324 Antonio Sanabria Sanabria\n",
- "325 Renato Sanches Sanches\n",
- "326 Alex Sandro Sandro\n",
- "327 Riccardo Saponara Saponara\n",
- "328 Giorgio Scalvini Scalvini\n",
- "329 Gianluca Scamacca Scamacca\n",
- "330 Perr Schuurs Schuurs\n",
- "331 Demba Seck Seck\n",
- "332 Vivaldo Semedo Semedo\n",
- "333 Stefano Sensi Sensi\n",
- "334 Suat Serdar Serdar\n",
- "335 Stephan El Shaarawy Shaarawy\n",
- "336 Eldor Shomurodov Shomurodov\n",
- "337 Steven Shpendi Shpendi\n",
- "338 Marco Silvestri Silvestri\n",
- "339 Giovanni Simeone Simeone\n",
- "340 Leo Skiri Østigård stigard\n",
- "341 Łukasz Skorupski Skorupski\n",
- "342 Chris Smalling Smalling\n",
- "343 Ola Solbakken Solbakken\n",
- "344 Yann Sommer Sommer\n",
- "345 Riccardo Sottil Sottil\n",
- "346 Matìas Soulé Soule\n",
- "347 Leonardo Spinazzola Spinazzola\n",
- "348 Gabriel Strefezza Strefezza\n",
- "349 Kevin Strootman Strootman\n",
- "350 Isaac Success Success\n",
- "351 Ibrahim Sulemana Sulemana\n",
- "352 Wojciech Szczęsny Szczesny\n",
- "353 Przemysław Szymiński Szyminski\n",
- "354 Adrien Tameze Tameze\n",
- "355 Loum Tchaouna Tchaouna\n",
- "356 Filippo Terracciano Terracciano\n",
- "357 Pietro Terracciano Terracciano\n",
- "358 Florian Thauvin Thauvin\n",
- "359 Malick Thiaw Thiaw\n",
- "360 Morten Thorsby Thorsby\n",
- "361 Kristian Thorstvedt Thorstvedt\n",
- "362 Marcus Thuram Thuram\n",
- "363 Jeremy Toljan Toljan\n",
- "364 Fikayo Tomori Tomori\n",
- "365 Stefano Turati Turati\n",
- "366 Kacper Urbanski Urbanski\n",
- "367 Johan Vásquez Vasquez\n",
- "368 Matías Vecino Vecino\n",
- "369 Simone Verdi Verdi\n",
- "370 Samuele Vignato Vignato\n",
- "371 Matías Viña Vina\n",
- "372 Mattia Viti Viti\n",
- "373 Dušan Vlahović Vlahovic\n",
- "374 Nikola Vlašić Vlasic\n",
- "375 Mërgim Vojvoda Vojvoda\n",
- "376 Cristian Volpato Volpato\n",
- "377 Stefan de Vrij Vrij\n",
- "378 Walace Walace\n",
- "379 Sebastian Walukiewicz Walukiewicz\n",
- "380 Timothy Weah Weah\n",
- "381 Mateusz Wieteska Wieteska\n",
- "382 Kenan Yıldız Yldz\n",
- "383 Mattia Zaccagni Zaccagni\n",
- "384 Nicola Zalewski Zalewski\n",
- "385 Andre-Frank Zambo Anguissa Anguissa\n",
- "386 Duván Zapata Zapata\n",
- "387 Duván Zapata Zapata\n",
- "388 Gabriele Zappa Zappa\n",
- "389 Davide Zappacosta Zappacosta\n",
- "390 Oier Zarraga Zarraga\n",
- "391 Jordan Zemura Zemura\n",
- "392 Piotr Zieliński Zielinski\n",
- "393 David Zima Zima\n",
- "394 Joshua Zirkzee Zirkzee\n",
- "395 Zito Zito\n",
- "396 Nadir Zortea Zortea\n",
- "397 Milan Đurić uric\n",
- "398 Mateusz Łęgowski egowski\n",
- "399 Etrit Berisha Berisha\n",
- "400 Elia Caprile Caprile\n",
- "401 Michele Cerofolini Cerofolini\n",
- "402 Oliver Christensen Christensen\n",
- "403 Andrea Consigli Consigli\n",
- "404 Michele Di Gregorio Gregorio\n",
- "405 Wladimiro Falcone Falcone\n",
- "406 Mike Maignan Maignan\n",
- "407 Josep Martinez Martinez\n",
- "408 Alex Meret Meret\n",
- "409 Vanja Milinković-Savić Milinkovic-Savic\n",
- "410 Lorenzo Montipò Montipo\n",
- "411 Juan Musso Musso\n",
- "412 Guillermo Ochoa Ochoa\n",
- "413 Rui Patrício Patricio\n",
- "414 Mattia Perin Perin\n",
- "415 Samuele Perisan Perisan\n",
- "416 Ivan Provedel Provedel\n",
- "417 Boris Radunović Radunovic\n",
- "418 Marco Silvestri Silvestri\n",
- "419 Łukasz Skorupski Skorupski\n",
- "420 Yann Sommer Sommer\n",
- "421 Wojciech Szczęsny Szczesny\n",
- "422 Pietro Terracciano Terracciano\n",
- "423 Stefano Turati Turati\n"
+ "0 Francesco Acerbi Acerbi\n",
+ "1 Michel Aebischer Aebischer\n",
+ "2 Luis Alberto Alberto\n",
+ "3 Pontus Almqvist Almqvist\n",
+ "4 Lorenzo Amatucci Amatucci\n",
+ "5 Bruno Amione Amione\n",
+ "6 Felipe Anderson Anderson\n",
+ "7 Houssem Aouar Aouar\n",
+ "8 Marko Arnautović Arnautovic\n",
+ "9 Kristjan Asllani Asllani\n",
+ "10 Tommaso Augello Augello\n",
+ "11 Yann Aurel Bisseck Bisseck\n",
+ "12 Sardar Azmoun Azmoun\n",
+ "13 Paulo Azzi Azzi\n",
+ "14 Oussama El Azzouzi Azzouzi\n",
+ "15 Milan Badelj Badelj\n",
+ "16 Jaime Báez Baez\n",
+ "17 Nedim Bajrami Bajrami\n",
+ "18 Mitchel Bakker Bakker\n",
+ "19 Tommaso Baldanzi Baldanzi\n",
+ "20 Lameck Banda Banda\n",
+ "21 Mattia Bani Bani\n",
+ "22 Antonín Barák Barak\n",
+ "23 Nicolò Barella Barella\n",
+ "24 Enzo Barrenechea Barrenechea\n",
+ "25 Federico Baschirotto Baschirotto\n",
+ "26 Alessandro Bastoni Bastoni\n",
+ "27 Simone Bastoni Bastoni\n",
+ "28 Raoul Bellanova Bellanova\n",
+ "29 Andrea Belotti Belotti\n",
+ "30 Lucas Beltrán Beltran\n",
+ "31 Domenico Berardi Berardi\n",
+ "32 Bartosz Bereszyński Bereszynski\n",
+ "33 Etrit Berisha Berisha\n",
+ "34 Victor Bernth Kristiansen Kristiansen\n",
+ "35 Beto Beto\n",
+ "36 Sam Beukema Beukema\n",
+ "37 Jaka Bijol Bijol\n",
+ "38 Cristiano Biraghi Biraghi\n",
+ "39 Davide Biraschi Biraschi\n",
+ "40 Samuele Birindelli Birindelli\n",
+ "41 Alexis Blin Blin\n",
+ "42 Emil Bohinen Bohinen\n",
+ "43 Daniel Boloca Boloca\n",
+ "44 Giacomo Bonaventura Bonaventura\n",
+ "45 Federico Bonazzoli Bonazzoli\n",
+ "46 Warren Bondo Bondo\n",
+ "47 Gennaro Borrelli Borrelli\n",
+ "48 Erik Botheim Botheim\n",
+ "49 Edoardo Bove Bove\n",
+ "50 Domagoj Bradarić Bradaric\n",
+ "51 Josip Brekalo Brekalo\n",
+ "52 Gleison Bremer Bremer\n",
+ "53 Marco Brescianini Brescianini\n",
+ "54 Alessandro Buongiorno Buongiorno\n",
+ "55 Rareș-Cătălin Burnete Burnete\n",
+ "56 Juan Cabal Cabal\n",
+ "57 Jovane Cabral Cabral\n",
+ "58 Liberato Cacace Cacace\n",
+ "59 Jens Cajuste Cajuste\n",
+ "60 Davide Calabria Calabria\n",
+ "61 Riccardo Calafiori Calafiori\n",
+ "62 Luca Caldirola Caldirola\n",
+ "63 Hakan Çalhanoğlu Calhanoglu\n",
+ "64 Nicolò Cambiaghi Cambiaghi\n",
+ "65 Andrea Cambiaso Cambiaso\n",
+ "66 Matteo Cancellieri Cancellieri\n",
+ "67 Antonio Candreva Candreva\n",
+ "68 Luigi Canotto Canotto\n",
+ "69 Gianluca Caprari Caprari\n",
+ "70 Elia Caprile Caprile\n",
+ "71 Francesco Caputo Caputo\n",
+ "72 Andrea Carboni Carboni\n",
+ "73 Valentin Carboni Carboni\n",
+ "74 Carlos Carlos\n",
+ "75 Marco Carnesecchi Carnesecchi\n",
+ "76 Nicolò Casale Casale\n",
+ "77 Giuseppe Caso Caso\n",
+ "78 Valentín Castellanos Castellanos\n",
+ "79 Samu Castillejo Castillejo\n",
+ "80 Danilo Cataldi Cataldi\n",
+ "81 Emil Ceide Ceide\n",
+ "82 Zeki Çelik Celik\n",
+ "83 Michele Cerofolini Cerofolini\n",
+ "84 Walid Cheddira Cheddira\n",
+ "85 Federico Chiesa Chiesa\n",
+ "86 Oliver Christensen Christensen\n",
+ "87 Samuel Chukwueze Chukwueze\n",
+ "88 Patrick Ciurria Ciurria\n",
+ "89 Lorenzo Colombo Colombo\n",
+ "90 Andrea Colpani Colpani\n",
+ "91 Andrea Consigli Consigli\n",
+ "92 Diego Coppola Coppola\n",
+ "93 Tommaso Corazza Corazza\n",
+ "94 Lassana Coulibaly Coulibaly\n",
+ "95 Mamadou Coulibaly Coulibaly\n",
+ "96 Alessio Cragno Cragno\n",
+ "97 Bryan Cristante Cristante\n",
+ "98 Juan Cuadrado Cuadrado\n",
+ "99 Marvin Cuni Cuni\n",
+ "100 Danilo D'Ambrosio DAmbrosio\n",
+ "101 Danilo Danilo\n",
+ "102 Matteo Darmian Darmian\n",
+ "103 Paweł Dawidowicz Dawidowicz\n",
+ "104 Charles De Ketelaere Ketelaere\n",
+ "105 Lorenzo De Silvestri Silvestri\n",
+ "106 Koni De Winter Winter\n",
+ "107 Grégoire Defrel Defrel\n",
+ "108 Alessandro Deiola Deiola\n",
+ "109 Mattia Destro Destro\n",
+ "110 Federico Di Francesco Francesco\n",
+ "111 Michele Di Gregorio Gregorio\n",
+ "112 Giovanni Di Lorenzo Lorenzo\n",
+ "113 Alessandro Di Pardo Pardo\n",
+ "114 Boulaye Dia Dia\n",
+ "115 Federico Dimarco Dimarco\n",
+ "116 Berat Djimsiti Djimsiti\n",
+ "117 Dodô Dodo\n",
+ "118 Josh Doig Doig\n",
+ "119 Nicolás Domínguez Dominguez\n",
+ "120 Patrick Dorgu Dorgu\n",
+ "121 Alberto Dossena Dossena\n",
+ "122 Radu Drăgușin Dragusin\n",
+ "123 Ondrej Duda Duda\n",
+ "124 Denzel Dumfries Dumfries\n",
+ "125 Alfred Duncan Duncan\n",
+ "126 Paulo Dybala Dybala\n",
+ "127 Festy Ebosele Ebosele\n",
+ "128 Enzo Ebosse Ebosse\n",
+ "129 Tyronne Ebuehi Ebuehi\n",
+ "130 Éderson Ederson\n",
+ "131 Emmanuel Ekong Ekong\n",
+ "132 Caleb Ekuban Ekuban\n",
+ "133 Elif Elmas Elmas\n",
+ "134 Martin Erlic Erlic\n",
+ "135 Giovanni Fabbian Fabbian\n",
+ "136 Nicolò Fagioli Fagioli\n",
+ "137 Wladimiro Falcone Falcone\n",
+ "138 Davide Faraoni Faraoni\n",
+ "139 Federico Fazio Fazio\n",
+ "140 Jacopo Fazzini Fazzini\n",
+ "141 Lewis Ferguson Ferguson\n",
+ "142 João Ferreira Ferreira\n",
+ "143 Alessandro Florenzi Florenzi\n",
+ "144 Michael Folorunsho Folorunsho\n",
+ "145 Davide Frattesi Frattesi\n",
+ "146 Morten Frendrup Frendrup\n",
+ "147 Remo Freuler Freuler\n",
+ "148 Roberto Gagliardini Gagliardini\n",
+ "149 Antonino Gallo Gallo\n",
+ "150 Luca Garritano Garritano\n",
+ "151 Federico Gatti Gatti\n",
+ "152 Francesco Gelli Gelli\n",
+ "153 Valentin Gendrey Gendrey\n",
+ "154 Gvidas Gineitis Gineitis\n",
+ "155 Olivier Giroud Giroud\n",
+ "156 Edoardo Goldaniga Goldaniga\n",
+ "157 Joan Gonzàlez Gonzalez\n",
+ "158 Nicolás González Gonzalez\n",
+ "159 Alberto Grassi Grassi\n",
+ "160 Mattéo Guendouzi Guendouzi\n",
+ "161 Axel Guessand Guessand\n",
+ "162 Albert Guðmundsson Gumundsson\n",
+ "163 Emmanuel Gyasi Gyasi\n",
+ "164 Norbert Gyömbér Gyomber\n",
+ "165 Nicolas Haas Haas\n",
+ "166 Abdou Harroui Harroui\n",
+ "167 Pantelis Hatzidiakos Hatzidiakos\n",
+ "168 Silvan Hefti Hefti\n",
+ "169 Liam Henderson Henderson\n",
+ "170 Matheus Henrique Henrique\n",
+ "171 Theo Hernández Hernandez\n",
+ "172 Isak Hien Hien\n",
+ "173 Emil Holm Holm\n",
+ "174 Martin Hongla Hongla\n",
+ "175 Sydney van Hooijdonk Hooijdonk\n",
+ "176 Elseid Hysaj Hysaj\n",
+ "177 Chukwubuikem Ikwuemesi Ikwuemesi\n",
+ "178 Ivan Ilić Ilic\n",
+ "179 Samuel Iling-Junior Iling-Junior\n",
+ "180 Ciro Immobile Immobile\n",
+ "181 Gino Infantino Infantino\n",
+ "182 Gustav Isaksen Isaksen\n",
+ "183 Ardian Ismajli Ismajli\n",
+ "184 Armando Izzo Izzo\n",
+ "185 Filip Jagiełło Jagieo\n",
+ "186 Jakub Jankto Jankto\n",
+ "187 Juan Jesus Jesus\n",
+ "188 Luka Jović Jovic\n",
+ "189 Mohamed Kaba Kaba\n",
+ "190 Christian Kabasele Kabasele\n",
+ "191 Pierre Kalulu Kalulu\n",
+ "192 Daichi Kamada Kamada\n",
+ "193 Hassane Kamara Kamara\n",
+ "194 Yann Karamoh Karamoh\n",
+ "195 Jesper Karlsson Karlsson\n",
+ "196 Rick Karsdorp Karsdorp\n",
+ "197 Grigoris Kastanos Kastanos\n",
+ "198 Michael Kayode Kayode\n",
+ "199 Moise Kean Kean\n",
+ "200 Simon Kjær Kjr\n",
+ "201 Sead Kolašinac Kolasinac\n",
+ "202 Teun Koopmeiners Koopmeiners\n",
+ "203 Filip Kostić Kostic\n",
+ "204 Christian Kouamé Kouame\n",
+ "205 Viktor Kovalenko Kovalenko\n",
+ "206 Nikola Krstović Krstovic\n",
+ "207 Rade Krunić Krunic\n",
+ "208 Berkan Kutlu Kutlu\n",
+ "209 Khvicha Kvaratskhelia Kvaratskhelia\n",
+ "210 Giorgi Kvernadze Kvernadze\n",
+ "211 Giorgos Kyriakopoulos Kyriakopoulos\n",
+ "212 Armand Lauriente Lauriente\n",
+ "213 Valentino Lazaro Lazaro\n",
+ "214 Darko Lazović Lazovic\n",
+ "215 Manuel Lazzari Lazzari\n",
+ "216 Rafael Leão Leao\n",
+ "217 Jesper Lindstrøm Lindstrm\n",
+ "218 Karol Linetty Linetty\n",
+ "219 Pol Lirola Lirola\n",
+ "220 Diego Llorente Llorente\n",
+ "221 Stanislav Lobotka Lobotka\n",
+ "222 Manuel Locatelli Locatelli\n",
+ "223 Ruben Loftus-Cheek Loftus-Cheek\n",
+ "224 Ademola Lookman Lookman\n",
+ "225 Maxime Lopez Lopez\n",
+ "226 Matteo Lovato Lovato\n",
+ "227 Sandi Lovrić Lovric\n",
+ "228 Lorenzo Lucca Lucca\n",
+ "229 Jhon Lucumí Lucumi\n",
+ "230 José Luis Palomino Palomino\n",
+ "231 Romelu Lukaku Lukaku\n",
+ "232 Sebastiano Luperto Luperto\n",
+ "233 Charalambos Lykogiannis Lykogiannis\n",
+ "234 Giulio Maggiore Maggiore\n",
+ "235 Giangiacomo Magnani Magnani\n",
+ "236 Mike Maignan Maignan\n",
+ "237 Antoine Makoumbou Makoumbou\n",
+ "238 Youssef Maleh Maleh\n",
+ "239 Ruslan Malinovskyi Malinovskyi\n",
+ "240 Gianluca Mancini Mancini\n",
+ "241 Rolando Mandragora Mandragora\n",
+ "242 Riccardo Marchizza Marchizza\n",
+ "243 Pablo Marí Mari\n",
+ "244 Mirko Marić Maric\n",
+ "245 Răzvan Marin Marin\n",
+ "246 Agustín Martegani Martegani\n",
+ "247 Aarón Martín Martin\n",
+ "248 Josep Martinez Martinez\n",
+ "249 Lautaro Martínez Martinez\n",
+ "250 Lucas Martínez Quarta Quarta\n",
+ "251 Adam Marušić Marusic\n",
+ "252 Luca Mazzitelli Mazzitelli\n",
+ "253 Pasquale Mazzocchi Mazzocchi\n",
+ "254 Jordi Mboula Mboula\n",
+ "255 Weston McKennie McKennie\n",
+ "256 Arthur Melo Melo\n",
+ "257 Alex Meret Meret\n",
+ "258 Nikola Milenković Milenkovic\n",
+ "259 Arkadiusz Milik Milik\n",
+ "260 Vanja Milinković-Savić Milinkovic-Savic\n",
+ "261 Aleksei Miranchuk Miranchuk\n",
+ "262 Kevin Miranda Miranda\n",
+ "263 Fabio Miretti Miretti\n",
+ "264 Filippo Missori Missori\n",
+ "265 Henrikh Mkhitaryan Mkhitaryan\n",
+ "266 Ilario Monterisi Monterisi\n",
+ "267 Lorenzo Montipò Montipo\n",
+ "268 Nikola Moro Moro\n",
+ "269 Dany Mota Mota\n",
+ "270 Samuele Mulattieri Mulattieri\n",
+ "271 Luis Muriel Muriel\n",
+ "272 Yunus Musah Musah\n",
+ "273 Juan Musso Musso\n",
+ "274 Obite N'Dicka NDicka\n",
+ "275 Nahitan Nández Nandez\n",
+ "276 Michel Ndary Adopo Adopo\n",
+ "277 Dan Ndoye Ndoye\n",
+ "278 Cyril Ngonge Ngonge\n",
+ "279 Rasmus Nissen Nissen\n",
+ "280 M'Bala Nzola Nzola\n",
+ "281 Adam Obert Obert\n",
+ "282 Guillermo Ochoa Ochoa\n",
+ "283 Noah Okafor Okafor\n",
+ "284 Caleb Okoli Okoli\n",
+ "285 Mathías Olivera Olivera\n",
+ "286 Gaetano Oristanio Oristanio\n",
+ "287 Riccardo Orsolini Orsolini\n",
+ "288 Victor Osimhen Osimhen\n",
+ "289 Anthony Oyono Oyono\n",
+ "290 Riccardo Pagano Pagano\n",
+ "291 Leandro Paredes Paredes\n",
+ "292 Fabiano Parisi Parisi\n",
+ "293 Mario Pašalić Pasalic\n",
+ "294 Patric Patric\n",
+ "295 Rui Patrício Patricio\n",
+ "296 Leonardo Pavoletti Pavoletti\n",
+ "297 Martín Payero Payero\n",
+ "298 Marcus Pedersen Pedersen\n",
+ "299 Pedro Pedro\n",
+ "300 Pietro Pellegri Pellegri\n",
+ "301 Lorenzo Pellegrini Pellegrini\n",
+ "302 Luca Pellegrini Pellegrini\n",
+ "303 Pepín Pepin\n",
+ "304 Pedro Pereira Pereira\n",
+ "305 Roberto Pereyra Pereyra\n",
+ "306 Nehuén Pérez Perez\n",
+ "307 Mattia Perin Perin\n",
+ "308 Samuele Perisan Perisan\n",
+ "309 Matteo Pessina Pessina\n",
+ "310 Andrea Petagna Petagna\n",
+ "311 Giuseppe Pezzella Pezzella\n",
+ "312 Roberto Piccoli Piccoli\n",
+ "313 Roberto Piccoli Piccoli\n",
+ "314 Andrea Pinamonti Pinamonti\n",
+ "315 Lorenzo Pirola Pirola\n",
+ "316 Tommaso Pobega Pobega\n",
+ "317 Paul Pogba Pogba\n",
+ "318 Matteo Politano Politano\n",
+ "319 Marin Pongračić Pongracic\n",
+ "320 Stefan Posch Posch\n",
+ "321 Matteo Prati Prati\n",
+ "322 Ivan Provedel Provedel\n",
+ "323 Christian Pulisic Pulisic\n",
+ "324 Domingos Quina Quina\n",
+ "325 Adrien Rabiot Rabiot\n",
+ "326 Uroš Račić Racic\n",
+ "327 Nemanja Radonjić Radonjic\n",
+ "328 Boris Radunović Radunovic\n",
+ "329 Hamza Rafia Rafia\n",
+ "330 Ylber Ramadani Ramadani\n",
+ "331 Luca Ranieri Ranieri\n",
+ "332 Giacomo Raspadori Raspadori\n",
+ "333 Tijjani Reijnders Reijnders\n",
+ "334 Mateo Retegui Retegui\n",
+ "335 Samuele Ricci Ricci\n",
+ "336 Ricardo Rodríguez Rodriguez\n",
+ "337 Alessio Romagnoli Romagnoli\n",
+ "338 Simone Romagnoli Romagnoli\n",
+ "339 Marten de Roon Roon\n",
+ "340 Nicolò Rovella Rovella\n",
+ "341 Amir Rrahmani Rrahmani\n",
+ "342 Ruan Ruan\n",
+ "343 Matteo Ruggeri Ruggeri\n",
+ "344 Mário Rui Rui\n",
+ "345 Stefano Sabelli Sabelli\n",
+ "346 Lazar Samardzic Samardzic\n",
+ "347 Junior Sambia Sambia\n",
+ "348 Antonio Sanabria Sanabria\n",
+ "349 Renato Sanches Sanches\n",
+ "350 Alex Sandro Sandro\n",
+ "351 Riccardo Saponara Saponara\n",
+ "352 Giorgio Scalvini Scalvini\n",
+ "353 Gianluca Scamacca Scamacca\n",
+ "354 Perr Schuurs Schuurs\n",
+ "355 Demba Seck Seck\n",
+ "356 Vivaldo Semedo Semedo\n",
+ "357 Stefano Sensi Sensi\n",
+ "358 Suat Serdar Serdar\n",
+ "359 Stephan El Shaarawy Shaarawy\n",
+ "360 Eldor Shomurodov Shomurodov\n",
+ "361 Steven Shpendi Shpendi\n",
+ "362 Marco Silvestri Silvestri\n",
+ "363 Giovanni Simeone Simeone\n",
+ "364 Leo Skiri Østigård stigard\n",
+ "365 Łukasz Skorupski Skorupski\n",
+ "366 Chris Smalling Smalling\n",
+ "367 Ola Solbakken Solbakken\n",
+ "368 Yann Sommer Sommer\n",
+ "369 Brandon Soppy Soppy\n",
+ "370 Alessandro Sorrentino Sorrentino\n",
+ "371 Riccardo Sottil Sottil\n",
+ "372 Matìas Soulé Soule\n",
+ "373 Leonardo Spinazzola Spinazzola\n",
+ "374 Gabriel Strefezza Strefezza\n",
+ "375 Kevin Strootman Strootman\n",
+ "376 Isaac Success Success\n",
+ "377 Ibrahim Sulemana Sulemana\n",
+ "378 Tomáš Suslov Suslov\n",
+ "379 Wojciech Szczęsny Szczesny\n",
+ "380 Przemysław Szymiński Szyminski\n",
+ "381 Adrien Tameze Tameze\n",
+ "382 Loum Tchaouna Tchaouna\n",
+ "383 Filippo Terracciano Terracciano\n",
+ "384 Pietro Terracciano Terracciano\n",
+ "385 Florian Thauvin Thauvin\n",
+ "386 Malick Thiaw Thiaw\n",
+ "387 Morten Thorsby Thorsby\n",
+ "388 Kristian Thorstvedt Thorstvedt\n",
+ "389 Marcus Thuram Thuram\n",
+ "390 Jeremy Toljan Toljan\n",
+ "391 Rafael Tolói Toloi\n",
+ "392 Fikayo Tomori Tomori\n",
+ "393 Ahmed Touba Touba\n",
+ "394 Stefano Turati Turati\n",
+ "395 Kacper Urbanski Urbanski\n",
+ "396 Johan Vásquez Vasquez\n",
+ "397 Matías Vecino Vecino\n",
+ "398 Simone Verdi Verdi\n",
+ "399 Samuele Vignato Vignato\n",
+ "400 Matías Viña Vina\n",
+ "401 Mattia Viti Viti\n",
+ "402 Dušan Vlahović Vlahovic\n",
+ "403 Nikola Vlašić Vlasic\n",
+ "404 Mërgim Vojvoda Vojvoda\n",
+ "405 Cristian Volpato Volpato\n",
+ "406 Stefan de Vrij Vrij\n",
+ "407 Walace Walace\n",
+ "408 Sebastian Walukiewicz Walukiewicz\n",
+ "409 Timothy Weah Weah\n",
+ "410 Mateusz Wieteska Wieteska\n",
+ "411 Kenan Yıldız Yldz\n",
+ "412 Mattia Zaccagni Zaccagni\n",
+ "413 Nicola Zalewski Zalewski\n",
+ "414 Andre-Frank Zambo Anguissa Anguissa\n",
+ "415 Duván Zapata Zapata\n",
+ "416 Duván Zapata Zapata\n",
+ "417 Gabriele Zappa Zappa\n",
+ "418 Davide Zappacosta Zappacosta\n",
+ "419 Oier Zarraga Zarraga\n",
+ "420 Jordan Zemura Zemura\n",
+ "421 Alessio Zerbin Zerbin\n",
+ "422 Piotr Zieliński Zielinski\n",
+ "423 David Zima Zima\n",
+ "424 Joshua Zirkzee Zirkzee\n",
+ "425 Zito Zito\n",
+ "426 Nadir Zortea Zortea\n",
+ "427 Milan Đurić uric\n",
+ "428 Mateusz Łęgowski egowski\n",
+ "429 Etrit Berisha Berisha\n",
+ "430 Elia Caprile Caprile\n",
+ "431 Marco Carnesecchi Carnesecchi\n",
+ "432 Michele Cerofolini Cerofolini\n",
+ "433 Oliver Christensen Christensen\n",
+ "434 Andrea Consigli Consigli\n",
+ "435 Alessio Cragno Cragno\n",
+ "436 Michele Di Gregorio Gregorio\n",
+ "437 Wladimiro Falcone Falcone\n",
+ "438 Mike Maignan Maignan\n",
+ "439 Josep Martinez Martinez\n",
+ "440 Alex Meret Meret\n",
+ "441 Vanja Milinković-Savić Milinkovic-Savic\n",
+ "442 Lorenzo Montipò Montipo\n",
+ "443 Juan Musso Musso\n",
+ "444 Guillermo Ochoa Ochoa\n",
+ "445 Rui Patrício Patricio\n",
+ "446 Mattia Perin Perin\n",
+ "447 Samuele Perisan Perisan\n",
+ "448 Ivan Provedel Provedel\n",
+ "449 Boris Radunović Radunovic\n",
+ "450 Marco Silvestri Silvestri\n",
+ "451 Łukasz Skorupski Skorupski\n",
+ "452 Yann Sommer Sommer\n",
+ "453 Alessandro Sorrentino Sorrentino\n",
+ "454 Wojciech Szczęsny Szczesny\n",
+ "455 Pietro Terracciano Terracciano\n",
+ "456 Stefano Turati Turati\n"
]
}
],
@@ -655,7 +688,7 @@
},
{
"cell_type": "code",
- "execution_count": 37,
+ "execution_count": 7,
"id": "3e759b1b",
"metadata": {},
"outputs": [
@@ -769,6 +802,12 @@
" Gudmundsson \n",
" Genoa \n",
" \n",
+ " \n",
+ " 12 \n",
+ " Kristensen \n",
+ " Nissen \n",
+ " Roma \n",
+ " \n",
" \n",
"\n",
""
@@ -786,10 +825,11 @@
"8 uric Djuric Hellas Verona\n",
"9 Arthur Cabral Fiorentina\n",
"10 Martinez Alvarez Sassuolo\n",
- "11 Gumundsson Gudmundsson Genoa"
+ "11 Gumundsson Gudmundsson Genoa\n",
+ "12 Kristensen Nissen Roma"
]
},
- "execution_count": 37,
+ "execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
@@ -818,7 +858,7 @@
},
{
"cell_type": "code",
- "execution_count": 38,
+ "execution_count": 8,
"id": "f96eaaa1",
"metadata": {},
"outputs": [
@@ -854,24 +894,6 @@
" \n",
" \n",
" 0 \n",
- " 4312 \n",
- " P \n",
- " Maignan \n",
- " Milan \n",
- " Maignan \n",
- " \n",
- " \n",
- " \n",
- " 1 \n",
- " 572 \n",
- " P \n",
- " Meret \n",
- " Napoli \n",
- " Meret \n",
- " \n",
- " \n",
- " \n",
- " 2 \n",
" 2428 \n",
" P \n",
" Sommer \n",
@@ -880,7 +902,7 @@
" \n",
" \n",
" \n",
- " 3 \n",
+ " 1 \n",
" 453 \n",
" P \n",
" Szczesny \n",
@@ -889,7 +911,16 @@
" \n",
" \n",
" \n",
- " 4 \n",
+ " 2 \n",
+ " 572 \n",
+ " P \n",
+ " Meret \n",
+ " Napoli \n",
+ " Meret \n",
+ " \n",
+ " \n",
+ " \n",
+ " 3 \n",
" 2814 \n",
" P \n",
" Provedel \n",
@@ -898,6 +929,15 @@
" \n",
" \n",
" \n",
+ " 4 \n",
+ " 4312 \n",
+ " P \n",
+ " Maignan \n",
+ " Milan \n",
+ " Maignan \n",
+ " \n",
+ " \n",
+ " \n",
" ... \n",
" ... \n",
" ... \n",
@@ -907,16 +947,16 @@
" ... \n",
" \n",
" \n",
- " 530 \n",
- " 6242 \n",
+ " 534 \n",
+ " 6395 \n",
" A \n",
- " Bidaoui \n",
- " Frosinone \n",
- " Bidaoui \n",
- " \n",
+ " Shpendi S. \n",
+ " Empoli \n",
+ " Shpendi \n",
+ " S \n",
" \n",
" \n",
- " 531 \n",
+ " 535 \n",
" 6418 \n",
" A \n",
" Burnete \n",
@@ -925,7 +965,7 @@
" \n",
" \n",
" \n",
- " 532 \n",
+ " 536 \n",
" 6419 \n",
" A \n",
" Corfitzen \n",
@@ -934,7 +974,7 @@
" \n",
" \n",
" \n",
- " 533 \n",
+ " 537 \n",
" 6427 \n",
" A \n",
" Stewart \n",
@@ -943,7 +983,7 @@
" \n",
" \n",
" \n",
- " 534 \n",
+ " 538 \n",
" 6434 \n",
" A \n",
" Yildiz \n",
@@ -953,27 +993,27 @@
" \n",
" \n",
"\n",
- "535 rows × 6 columns
\n",
+ "539 rows × 6 columns
\n",
""
],
"text/plain": [
- " id r name team surname initial\n",
- "0 4312 P Maignan Milan Maignan \n",
- "1 572 P Meret Napoli Meret \n",
- "2 2428 P Sommer Inter Sommer \n",
- "3 453 P Szczesny Juventus Szczesny \n",
- "4 2814 P Provedel Lazio Provedel \n",
- ".. ... .. ... ... ... ...\n",
- "530 6242 A Bidaoui Frosinone Bidaoui \n",
- "531 6418 A Burnete Lecce Burnete \n",
- "532 6419 A Corfitzen Lecce Corfitzen \n",
- "533 6427 A Stewart Salernitana Stewart \n",
- "534 6434 A Yildiz Juventus Yildiz \n",
+ " id r name team surname initial\n",
+ "0 2428 P Sommer Inter Sommer \n",
+ "1 453 P Szczesny Juventus Szczesny \n",
+ "2 572 P Meret Napoli Meret \n",
+ "3 2814 P Provedel Lazio Provedel \n",
+ "4 4312 P Maignan Milan Maignan \n",
+ ".. ... .. ... ... ... ...\n",
+ "534 6395 A Shpendi S. Empoli Shpendi S\n",
+ "535 6418 A Burnete Lecce Burnete \n",
+ "536 6419 A Corfitzen Lecce Corfitzen \n",
+ "537 6427 A Stewart Salernitana Stewart \n",
+ "538 6434 A Yildiz Juventus Yildiz \n",
"\n",
- "[535 rows x 6 columns]"
+ "[539 rows x 6 columns]"
]
},
- "execution_count": 38,
+ "execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
@@ -1012,7 +1052,7 @@
},
{
"cell_type": "code",
- "execution_count": 39,
+ "execution_count": 9,
"id": "9c50e4b5",
"metadata": {},
"outputs": [],
@@ -1051,7 +1091,7 @@
},
{
"cell_type": "code",
- "execution_count": 40,
+ "execution_count": 11,
"id": "18f6c5f2",
"metadata": {},
"outputs": [
@@ -1059,8 +1099,6 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Carnesecchi not found\n",
- "Cragno not found\n",
"Sportiello not found\n",
"Mirante not found\n",
"Sepe not found\n",
@@ -1088,7 +1126,6 @@
"Boer not found\n",
"Bagnolini not found\n",
"Svilar not found\n",
- "Sorrentino A. not found\n",
"Martinelli T. not found\n",
"Popa not found\n",
"Stubljar not found\n",
@@ -1097,10 +1134,6 @@
"Okoye not found\n",
"Mandas not found\n",
"Pavard not found\n",
- "Acerbi not found\n",
- "Toloi not found\n",
- "N'dicka not found\n",
- "Bastoni S. not found\n",
"Kristensen not found\n",
"Natan not found\n",
"Mina not found\n",
@@ -1108,17 +1141,13 @@
"Masina not found\n",
"Djidji not found\n",
"Tressoldi not found\n",
- "Hatzidiakos not found\n",
- "Calafiori not found\n",
"Ehizibue not found\n",
"Vogliacco not found\n",
"Ferrari G. not found\n",
- "Lirola not found\n",
"Venuti not found\n",
"Gunter not found\n",
"Soumaoro not found\n",
"Zanoli not found\n",
- "Touba not found\n",
"Sazonov not found\n",
"Rugani not found\n",
"De Sciglio not found\n",
@@ -1126,19 +1155,14 @@
"Kumbulla not found\n",
"Daniliuc not found\n",
"Haps not found\n",
- "De Winter not found\n",
"Cittadini not found\n",
- "Ebosse not found\n",
"Kristensen T. not found\n",
"Dermaku not found\n",
"Tonelli not found\n",
"Capradossi not found\n",
"Bettella not found\n",
- "Okoli not found\n",
"Amey not found\n",
- "Soppy not found\n",
"Gila not found\n",
- "Guessand A. not found\n",
"Bronn not found\n",
"Guarino not found\n",
"Smajlovic not found\n",
@@ -1150,34 +1174,26 @@
"Huijsen not found\n",
"Bonfanti not found\n",
"Pellegrino not found\n",
+ "Comuzzo not found\n",
"Lindstrom not found\n",
- "Lazovic not found\n",
"Ikone' not found\n",
- "Barak not found\n",
"Bennacer not found\n",
- "Klaassen not found\n",
"Castrovilli not found\n",
- "Miranchuk not found\n",
+ "Klaassen not found\n",
"Messias not found\n",
"Reinier not found\n",
- "Freuler not found\n",
- "Lopez M. from previous team stats\n",
- "Mancosu not found\n",
- "Machin not found\n",
- "Oudin not found\n",
"Cajuste not found\n",
- "Castillejo not found\n",
+ "Mancosu not found\n",
+ "Oudin not found\n",
+ "Machin not found\n",
"Iling Junior not found\n",
- "Payero not found\n",
"Bourabia not found\n",
- "Rovella not found\n",
"Saelemaekers not found\n",
"Maldini not found\n",
"Ranocchia F. not found\n",
"Tchatchoua not found\n",
"Romero L. not found\n",
"Basic not found\n",
- "Suslov not found\n",
"Gaetano not found\n",
"Jagiello not found\n",
"Obiang not found\n",
@@ -1191,33 +1207,30 @@
"Demme not found\n",
"Pafundi not found\n",
"Adli not found\n",
- "Zerbin not found\n",
"Faticanti not found\n",
- "Gineitis not found\n",
"Belardinelli not found\n",
"Lipani not found\n",
"Joselito not found\n",
"Legowski not found\n",
- "Prati not found\n",
+ "Ibrahimovic A. not found\n",
+ "Sanchez not found\n",
"Toure' E. not found\n",
"Lapadula not found\n",
- "Sanchez not found\n",
"Abraham not found\n",
"Deulofeu not found\n",
- "Jovic not found\n",
- "Azmoun not found\n",
"Henry not found\n",
- "Davis K. not found\n",
- "Brenner not found\n",
"Luvumbo not found\n",
+ "Brenner not found\n",
+ "Davis K. not found\n",
+ "Sansone not found\n",
"Jovane not found\n",
"Alvarez A. not found\n",
+ "Cruz not found\n",
"Puscas not found\n",
"Ake' M. not found\n",
"Braaf not found\n",
"Kallon not found\n",
"Kaio Jorge not found\n",
- "Valencia D. not found\n",
"Vivaldo not found\n",
"Bidaoui not found\n",
"Corfitzen not found\n",
@@ -1246,7 +1259,7 @@
},
{
"cell_type": "code",
- "execution_count": 45,
+ "execution_count": 12,
"id": "3b4a36af",
"metadata": {},
"outputs": [
@@ -1278,142 +1291,58 @@
" surname \n",
" initial \n",
" fb_ID \n",
- " age \n",
- " birth_year \n",
- " games \n",
- " ... \n",
- " gk_passes_length_avg \n",
- " gk_goal_kicks \n",
- " gk_pct_goal_kicks_launched \n",
- " gk_goal_kick_length_avg \n",
- " gk_crosses \n",
- " gk_crosses_stopped \n",
- " gk_crosses_stopped_pct \n",
- " gk_def_actions_outside_pen_area \n",
- " gk_def_actions_outside_pen_area_per90 \n",
- " gk_avg_distance_def_actions \n",
" \n",
" \n",
" \n",
" \n",
" 0 \n",
- " 4312 \n",
- " P \n",
- " Maignan \n",
- " Milan \n",
- " Maignan \n",
- " \n",
- " 406 \n",
- " 28-068 \n",
- " 1995 \n",
- " 0 \n",
- " ... \n",
- " 30.5 \n",
- " 20 \n",
- " 65.0 \n",
- " 49.3 \n",
- " 43 \n",
- " 12 \n",
- " 27.9 \n",
- " 3 \n",
- " 1.00 \n",
- " 10.3 \n",
- " \n",
- " \n",
- " 1 \n",
- " 572 \n",
- " P \n",
- " Meret \n",
- " Napoli \n",
- " Meret \n",
- " \n",
- " 408 \n",
- " 26-171 \n",
- " 1997 \n",
- " 0 \n",
- " ... \n",
- " 24.4 \n",
- " 8 \n",
- " 0.0 \n",
- " 21.4 \n",
- " 15 \n",
- " 1 \n",
- " 6.7 \n",
- " 5 \n",
- " 1.67 \n",
- " 18.1 \n",
- " \n",
- " \n",
- " 2 \n",
" 2428 \n",
" P \n",
" Sommer \n",
" Inter \n",
" Sommer \n",
" \n",
- " 420 \n",
- " 34-266 \n",
- " 1988 \n",
- " 0 \n",
- " ... \n",
- " 31.4 \n",
- " 21 \n",
- " 23.8 \n",
- " 31.0 \n",
- " 35 \n",
- " 1 \n",
- " 2.9 \n",
- " 0 \n",
- " 0.00 \n",
- " 6.8 \n",
+ " 452 \n",
" \n",
" \n",
- " 3 \n",
+ " 1 \n",
" 453 \n",
" P \n",
" Szczesny \n",
" Juventus \n",
" Szczesny \n",
" \n",
- " 421 \n",
- " 33-144 \n",
- " 1990 \n",
- " 0 \n",
- " ... \n",
- " 31.6 \n",
- " 3 \n",
- " 66.7 \n",
- " 53.3 \n",
- " 16 \n",
- " 1 \n",
- " 6.3 \n",
- " 0 \n",
- " 0.00 \n",
- " 10.8 \n",
+ " 454 \n",
" \n",
" \n",
- " 4 \n",
+ " 2 \n",
+ " 572 \n",
+ " P \n",
+ " Meret \n",
+ " Napoli \n",
+ " Meret \n",
+ " \n",
+ " 440 \n",
+ " \n",
+ " \n",
+ " 3 \n",
" 2814 \n",
" P \n",
" Provedel \n",
" Lazio \n",
" Provedel \n",
" \n",
- " 416 \n",
- " 29-176 \n",
- " 1994 \n",
- " 0 \n",
- " ... \n",
- " 26.1 \n",
- " 11 \n",
- " 27.3 \n",
- " 31.6 \n",
- " 39 \n",
- " 2 \n",
- " 5.1 \n",
- " 6 \n",
- " 2.00 \n",
- " 16.3 \n",
+ " 448 \n",
+ " \n",
+ " \n",
+ " 4 \n",
+ " 4312 \n",
+ " P \n",
+ " Maignan \n",
+ " Milan \n",
+ " Maignan \n",
+ " \n",
+ " 438 \n",
" \n",
" \n",
" ... \n",
@@ -1424,71 +1353,29 @@
" ... \n",
" ... \n",
" ... \n",
- " ... \n",
- " ... \n",
- " ... \n",
- " ... \n",
- " ... \n",
- " ... \n",
- " ... \n",
- " ... \n",
- " ... \n",
- " ... \n",
- " ... \n",
- " ... \n",
- " ... \n",
- " ... \n",
" \n",
" \n",
- " 530 \n",
- " 6242 \n",
+ " 534 \n",
+ " 6395 \n",
" A \n",
- " Bidaoui \n",
- " Frosinone \n",
- " Bidaoui \n",
- " \n",
- " -1 \n",
- " 0 \n",
- " 0 \n",
- " 0 \n",
- " ... \n",
- " 0.0 \n",
- " 0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 0 \n",
- " 0.00 \n",
- " 0.0 \n",
+ " Shpendi S. \n",
+ " Empoli \n",
+ " Shpendi \n",
+ " S \n",
+ " 361 \n",
" \n",
" \n",
- " 531 \n",
+ " 535 \n",
" 6418 \n",
" A \n",
" Burnete \n",
" Lecce \n",
" Burnete \n",
" \n",
- " 51 \n",
- " 19-221 \n",
- " 2004 \n",
- " 1 \n",
- " ... \n",
- " 0.0 \n",
- " 0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 0 \n",
- " 0.00 \n",
- " 0.0 \n",
+ " 55 \n",
" \n",
" \n",
- " 532 \n",
+ " 536 \n",
" 6419 \n",
" A \n",
" Corfitzen \n",
@@ -1496,23 +1383,9 @@
" Corfitzen \n",
" \n",
" -1 \n",
- " 0 \n",
- " 0 \n",
- " 0 \n",
- " ... \n",
- " 0.0 \n",
- " 0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 0 \n",
- " 0.00 \n",
- " 0.0 \n",
" \n",
" \n",
- " 533 \n",
+ " 537 \n",
" 6427 \n",
" A \n",
" Stewart \n",
@@ -1520,23 +1393,9 @@
" Stewart \n",
" \n",
" -1 \n",
- " 0 \n",
- " 0 \n",
- " 0 \n",
- " ... \n",
- " 0.0 \n",
- " 0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 0 \n",
- " 0.00 \n",
- " 0.0 \n",
" \n",
" \n",
- " 534 \n",
+ " 538 \n",
" 6434 \n",
" A \n",
" Yildiz \n",
@@ -1544,109 +1403,30 @@
" Yildiz \n",
" \n",
" -1 \n",
- " 0 \n",
- " 0 \n",
- " 0 \n",
- " ... \n",
- " 0.0 \n",
- " 0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 0 \n",
- " 0.00 \n",
- " 0.0 \n",
" \n",
" \n",
"\n",
- "535 rows × 158 columns
\n",
+ "539 rows × 7 columns
\n",
""
],
"text/plain": [
- " id r name team surname initial fb_ID age \\\n",
- "0 4312 P Maignan Milan Maignan 406 28-068 \n",
- "1 572 P Meret Napoli Meret 408 26-171 \n",
- "2 2428 P Sommer Inter Sommer 420 34-266 \n",
- "3 453 P Szczesny Juventus Szczesny 421 33-144 \n",
- "4 2814 P Provedel Lazio Provedel 416 29-176 \n",
- ".. ... .. ... ... ... ... ... ... \n",
- "530 6242 A Bidaoui Frosinone Bidaoui -1 0 \n",
- "531 6418 A Burnete Lecce Burnete 51 19-221 \n",
- "532 6419 A Corfitzen Lecce Corfitzen -1 0 \n",
- "533 6427 A Stewart Salernitana Stewart -1 0 \n",
- "534 6434 A Yildiz Juventus Yildiz -1 0 \n",
+ " id r name team surname initial fb_ID\n",
+ "0 2428 P Sommer Inter Sommer 452\n",
+ "1 453 P Szczesny Juventus Szczesny 454\n",
+ "2 572 P Meret Napoli Meret 440\n",
+ "3 2814 P Provedel Lazio Provedel 448\n",
+ "4 4312 P Maignan Milan Maignan 438\n",
+ ".. ... .. ... ... ... ... ...\n",
+ "534 6395 A Shpendi S. Empoli Shpendi S 361\n",
+ "535 6418 A Burnete Lecce Burnete 55\n",
+ "536 6419 A Corfitzen Lecce Corfitzen -1\n",
+ "537 6427 A Stewart Salernitana Stewart -1\n",
+ "538 6434 A Yildiz Juventus Yildiz -1\n",
"\n",
- " birth_year games ... gk_passes_length_avg gk_goal_kicks \\\n",
- "0 1995 0 ... 30.5 20 \n",
- "1 1997 0 ... 24.4 8 \n",
- "2 1988 0 ... 31.4 21 \n",
- "3 1990 0 ... 31.6 3 \n",
- "4 1994 0 ... 26.1 11 \n",
- ".. ... ... ... ... ... \n",
- "530 0 0 ... 0.0 0 \n",
- "531 2004 1 ... 0.0 0 \n",
- "532 0 0 ... 0.0 0 \n",
- "533 0 0 ... 0.0 0 \n",
- "534 0 0 ... 0.0 0 \n",
- "\n",
- " gk_pct_goal_kicks_launched gk_goal_kick_length_avg gk_crosses \\\n",
- "0 65.0 49.3 43 \n",
- "1 0.0 21.4 15 \n",
- "2 23.8 31.0 35 \n",
- "3 66.7 53.3 16 \n",
- "4 27.3 31.6 39 \n",
- ".. ... ... ... \n",
- "530 0.0 0.0 0 \n",
- "531 0.0 0.0 0 \n",
- "532 0.0 0.0 0 \n",
- "533 0.0 0.0 0 \n",
- "534 0.0 0.0 0 \n",
- "\n",
- " gk_crosses_stopped gk_crosses_stopped_pct \\\n",
- "0 12 27.9 \n",
- "1 1 6.7 \n",
- "2 1 2.9 \n",
- "3 1 6.3 \n",
- "4 2 5.1 \n",
- ".. ... ... \n",
- "530 0 0.0 \n",
- "531 0 0.0 \n",
- "532 0 0.0 \n",
- "533 0 0.0 \n",
- "534 0 0.0 \n",
- "\n",
- " gk_def_actions_outside_pen_area gk_def_actions_outside_pen_area_per90 \\\n",
- "0 3 1.00 \n",
- "1 5 1.67 \n",
- "2 0 0.00 \n",
- "3 0 0.00 \n",
- "4 6 2.00 \n",
- ".. ... ... \n",
- "530 0 0.00 \n",
- "531 0 0.00 \n",
- "532 0 0.00 \n",
- "533 0 0.00 \n",
- "534 0 0.00 \n",
- "\n",
- " gk_avg_distance_def_actions \n",
- "0 10.3 \n",
- "1 18.1 \n",
- "2 6.8 \n",
- "3 10.8 \n",
- "4 16.3 \n",
- ".. ... \n",
- "530 0.0 \n",
- "531 0.0 \n",
- "532 0.0 \n",
- "533 0.0 \n",
- "534 0.0 \n",
- "\n",
- "[535 rows x 158 columns]"
+ "[539 rows x 7 columns]"
]
},
- "execution_count": 45,
+ "execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
@@ -1665,10 +1445,49 @@
},
{
"cell_type": "code",
- "execution_count": 46,
+ "execution_count": 13,
"id": "1d73a312",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n"
+ ]
+ }
+ ],
"source": [
"#Data for Outfield players\n",
"columns_to_copy = outfield_players.columns[4:]\n",
@@ -1685,7 +1504,7 @@
},
{
"cell_type": "code",
- "execution_count": 47,
+ "execution_count": 14,
"id": "7acb93e3",
"metadata": {},
"outputs": [
@@ -1710,7 +1529,7 @@
" dtype='object')"
]
},
- "execution_count": 47,
+ "execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
@@ -1721,10 +1540,97 @@
},
{
"cell_type": "code",
- "execution_count": 48,
+ "execution_count": 15,
"id": "eb9127a9",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n"
+ ]
+ }
+ ],
"source": [
"#Data for Keepers\n",
"columns_to_copy = keeper_players.columns[4:]\n",
@@ -1742,7 +1648,7 @@
},
{
"cell_type": "code",
- "execution_count": 49,
+ "execution_count": 16,
"id": "da977789",
"metadata": {},
"outputs": [
@@ -1793,123 +1699,123 @@
" \n",
" \n",
" 0 \n",
- " 4312 \n",
- " P \n",
- " Maignan \n",
- " Milan \n",
- " Maignan \n",
- " \n",
- " 406 \n",
- " 28-068 \n",
- " 1995 \n",
- " 0 \n",
- " ... \n",
- " 30.5 \n",
- " 20 \n",
- " 65.0 \n",
- " 49.3 \n",
- " 43 \n",
- " 12 \n",
- " 27.9 \n",
- " 3 \n",
- " 1.00 \n",
- " 10.3 \n",
- " \n",
- " \n",
- " 1 \n",
- " 572 \n",
- " P \n",
- " Meret \n",
- " Napoli \n",
- " Meret \n",
- " \n",
- " 408 \n",
- " 26-171 \n",
- " 1997 \n",
- " 0 \n",
- " ... \n",
- " 24.4 \n",
- " 8 \n",
- " 0.0 \n",
- " 21.4 \n",
- " 15 \n",
- " 1 \n",
- " 6.7 \n",
- " 5 \n",
- " 1.67 \n",
- " 18.1 \n",
- " \n",
- " \n",
- " 2 \n",
" 2428 \n",
" P \n",
" Sommer \n",
" Inter \n",
" Sommer \n",
" \n",
- " 420 \n",
- " 34-266 \n",
+ " 452 \n",
+ " 34-278 \n",
" 1988 \n",
" 0 \n",
" ... \n",
- " 31.4 \n",
- " 21 \n",
- " 23.8 \n",
- " 31.0 \n",
- " 35 \n",
- " 1 \n",
- " 2.9 \n",
+ " 30.8 \n",
+ " 29 \n",
+ " 20.7 \n",
+ " 28.3 \n",
+ " 41 \n",
+ " 2 \n",
+ " 4.9 \n",
" 0 \n",
" 0.00 \n",
- " 6.8 \n",
+ " 6.5 \n",
" \n",
" \n",
- " 3 \n",
+ " 1 \n",
" 453 \n",
" P \n",
" Szczesny \n",
" Juventus \n",
" Szczesny \n",
" \n",
- " 421 \n",
- " 33-144 \n",
+ " 454 \n",
+ " 33-156 \n",
" 1990 \n",
" 0 \n",
" ... \n",
- " 31.6 \n",
- " 3 \n",
+ " 33.1 \n",
+ " 6 \n",
" 66.7 \n",
- " 53.3 \n",
- " 16 \n",
+ " 52.0 \n",
+ " 33 \n",
" 1 \n",
- " 6.3 \n",
+ " 3.0 \n",
" 0 \n",
" 0.00 \n",
- " 10.8 \n",
+ " 9.6 \n",
" \n",
" \n",
- " 4 \n",
+ " 2 \n",
+ " 572 \n",
+ " P \n",
+ " Meret \n",
+ " Napoli \n",
+ " Meret \n",
+ " \n",
+ " 440 \n",
+ " 26-183 \n",
+ " 1997 \n",
+ " 0 \n",
+ " ... \n",
+ " 24.7 \n",
+ " 11 \n",
+ " 0.0 \n",
+ " 20.4 \n",
+ " 27 \n",
+ " 1 \n",
+ " 3.7 \n",
+ " 7 \n",
+ " 1.75 \n",
+ " 18.2 \n",
+ " \n",
+ " \n",
+ " 3 \n",
" 2814 \n",
" P \n",
" Provedel \n",
" Lazio \n",
" Provedel \n",
" \n",
- " 416 \n",
- " 29-176 \n",
+ " 448 \n",
+ " 29-188 \n",
" 1994 \n",
" 0 \n",
" ... \n",
- " 26.1 \n",
- " 11 \n",
- " 27.3 \n",
- " 31.6 \n",
- " 39 \n",
+ " 26.4 \n",
+ " 15 \n",
+ " 20.0 \n",
+ " 27.9 \n",
+ " 48 \n",
" 2 \n",
- " 5.1 \n",
+ " 4.2 \n",
" 6 \n",
- " 2.00 \n",
- " 16.3 \n",
+ " 1.50 \n",
+ " 15.7 \n",
+ " \n",
+ " \n",
+ " 4 \n",
+ " 4312 \n",
+ " P \n",
+ " Maignan \n",
+ " Milan \n",
+ " Maignan \n",
+ " \n",
+ " 438 \n",
+ " 28-080 \n",
+ " 1995 \n",
+ " 0 \n",
+ " ... \n",
+ " 29.2 \n",
+ " 23 \n",
+ " 60.9 \n",
+ " 47.0 \n",
+ " 52 \n",
+ " 12 \n",
+ " 23.1 \n",
+ " 3 \n",
+ " 0.75 \n",
+ " 9.8 \n",
" \n",
" \n",
" ... \n",
@@ -1936,17 +1842,17 @@
" ... \n",
" \n",
" \n",
- " 530 \n",
- " 6242 \n",
+ " 534 \n",
+ " 6395 \n",
" A \n",
- " Bidaoui \n",
- " Frosinone \n",
- " Bidaoui \n",
- " \n",
- " -1 \n",
- " 0 \n",
- " 0 \n",
- " 0 \n",
+ " Shpendi S. \n",
+ " Empoli \n",
+ " Shpendi \n",
+ " S \n",
+ " 361 \n",
+ " 20-125 \n",
+ " 2003 \n",
+ " 3 \n",
" ... \n",
" 0.0 \n",
" 0 \n",
@@ -1960,15 +1866,15 @@
" 0.0 \n",
" \n",
" \n",
- " 531 \n",
+ " 535 \n",
" 6418 \n",
" A \n",
" Burnete \n",
" Lecce \n",
" Burnete \n",
" \n",
- " 51 \n",
- " 19-221 \n",
+ " 55 \n",
+ " 19-233 \n",
" 2004 \n",
" 1 \n",
" ... \n",
@@ -1984,7 +1890,7 @@
" 0.0 \n",
" \n",
" \n",
- " 532 \n",
+ " 536 \n",
" 6419 \n",
" A \n",
" Corfitzen \n",
@@ -2008,7 +1914,7 @@
" 0.0 \n",
" \n",
" \n",
- " 533 \n",
+ " 537 \n",
" 6427 \n",
" A \n",
" Stewart \n",
@@ -2032,7 +1938,7 @@
" 0.0 \n",
" \n",
" \n",
- " 534 \n",
+ " 538 \n",
" 6434 \n",
" A \n",
" Yildiz \n",
@@ -2057,92 +1963,92 @@
" \n",
" \n",
"\n",
- "535 rows × 158 columns
\n",
+ "539 rows × 158 columns
\n",
""
],
"text/plain": [
- " id r name team surname initial fb_ID age \\\n",
- "0 4312 P Maignan Milan Maignan 406 28-068 \n",
- "1 572 P Meret Napoli Meret 408 26-171 \n",
- "2 2428 P Sommer Inter Sommer 420 34-266 \n",
- "3 453 P Szczesny Juventus Szczesny 421 33-144 \n",
- "4 2814 P Provedel Lazio Provedel 416 29-176 \n",
- ".. ... .. ... ... ... ... ... ... \n",
- "530 6242 A Bidaoui Frosinone Bidaoui -1 0 \n",
- "531 6418 A Burnete Lecce Burnete 51 19-221 \n",
- "532 6419 A Corfitzen Lecce Corfitzen -1 0 \n",
- "533 6427 A Stewart Salernitana Stewart -1 0 \n",
- "534 6434 A Yildiz Juventus Yildiz -1 0 \n",
+ " id r name team surname initial fb_ID age \\\n",
+ "0 2428 P Sommer Inter Sommer 452 34-278 \n",
+ "1 453 P Szczesny Juventus Szczesny 454 33-156 \n",
+ "2 572 P Meret Napoli Meret 440 26-183 \n",
+ "3 2814 P Provedel Lazio Provedel 448 29-188 \n",
+ "4 4312 P Maignan Milan Maignan 438 28-080 \n",
+ ".. ... .. ... ... ... ... ... ... \n",
+ "534 6395 A Shpendi S. Empoli Shpendi S 361 20-125 \n",
+ "535 6418 A Burnete Lecce Burnete 55 19-233 \n",
+ "536 6419 A Corfitzen Lecce Corfitzen -1 0 \n",
+ "537 6427 A Stewart Salernitana Stewart -1 0 \n",
+ "538 6434 A Yildiz Juventus Yildiz -1 0 \n",
"\n",
" birth_year games ... gk_passes_length_avg gk_goal_kicks \\\n",
- "0 1995 0 ... 30.5 20 \n",
- "1 1997 0 ... 24.4 8 \n",
- "2 1988 0 ... 31.4 21 \n",
- "3 1990 0 ... 31.6 3 \n",
- "4 1994 0 ... 26.1 11 \n",
+ "0 1988 0 ... 30.8 29 \n",
+ "1 1990 0 ... 33.1 6 \n",
+ "2 1997 0 ... 24.7 11 \n",
+ "3 1994 0 ... 26.4 15 \n",
+ "4 1995 0 ... 29.2 23 \n",
".. ... ... ... ... ... \n",
- "530 0 0 ... 0.0 0 \n",
- "531 2004 1 ... 0.0 0 \n",
- "532 0 0 ... 0.0 0 \n",
- "533 0 0 ... 0.0 0 \n",
- "534 0 0 ... 0.0 0 \n",
+ "534 2003 3 ... 0.0 0 \n",
+ "535 2004 1 ... 0.0 0 \n",
+ "536 0 0 ... 0.0 0 \n",
+ "537 0 0 ... 0.0 0 \n",
+ "538 0 0 ... 0.0 0 \n",
"\n",
" gk_pct_goal_kicks_launched gk_goal_kick_length_avg gk_crosses \\\n",
- "0 65.0 49.3 43 \n",
- "1 0.0 21.4 15 \n",
- "2 23.8 31.0 35 \n",
- "3 66.7 53.3 16 \n",
- "4 27.3 31.6 39 \n",
+ "0 20.7 28.3 41 \n",
+ "1 66.7 52.0 33 \n",
+ "2 0.0 20.4 27 \n",
+ "3 20.0 27.9 48 \n",
+ "4 60.9 47.0 52 \n",
".. ... ... ... \n",
- "530 0.0 0.0 0 \n",
- "531 0.0 0.0 0 \n",
- "532 0.0 0.0 0 \n",
- "533 0.0 0.0 0 \n",
"534 0.0 0.0 0 \n",
+ "535 0.0 0.0 0 \n",
+ "536 0.0 0.0 0 \n",
+ "537 0.0 0.0 0 \n",
+ "538 0.0 0.0 0 \n",
"\n",
" gk_crosses_stopped gk_crosses_stopped_pct \\\n",
- "0 12 27.9 \n",
- "1 1 6.7 \n",
- "2 1 2.9 \n",
- "3 1 6.3 \n",
- "4 2 5.1 \n",
+ "0 2 4.9 \n",
+ "1 1 3.0 \n",
+ "2 1 3.7 \n",
+ "3 2 4.2 \n",
+ "4 12 23.1 \n",
".. ... ... \n",
- "530 0 0.0 \n",
- "531 0 0.0 \n",
- "532 0 0.0 \n",
- "533 0 0.0 \n",
"534 0 0.0 \n",
+ "535 0 0.0 \n",
+ "536 0 0.0 \n",
+ "537 0 0.0 \n",
+ "538 0 0.0 \n",
"\n",
" gk_def_actions_outside_pen_area gk_def_actions_outside_pen_area_per90 \\\n",
- "0 3 1.00 \n",
- "1 5 1.67 \n",
- "2 0 0.00 \n",
- "3 0 0.00 \n",
- "4 6 2.00 \n",
+ "0 0 0.00 \n",
+ "1 0 0.00 \n",
+ "2 7 1.75 \n",
+ "3 6 1.50 \n",
+ "4 3 0.75 \n",
".. ... ... \n",
- "530 0 0.00 \n",
- "531 0 0.00 \n",
- "532 0 0.00 \n",
- "533 0 0.00 \n",
"534 0 0.00 \n",
+ "535 0 0.00 \n",
+ "536 0 0.00 \n",
+ "537 0 0.00 \n",
+ "538 0 0.00 \n",
"\n",
" gk_avg_distance_def_actions \n",
- "0 10.3 \n",
- "1 18.1 \n",
- "2 6.8 \n",
- "3 10.8 \n",
- "4 16.3 \n",
+ "0 6.5 \n",
+ "1 9.6 \n",
+ "2 18.2 \n",
+ "3 15.7 \n",
+ "4 9.8 \n",
".. ... \n",
- "530 0.0 \n",
- "531 0.0 \n",
- "532 0.0 \n",
- "533 0.0 \n",
"534 0.0 \n",
+ "535 0.0 \n",
+ "536 0.0 \n",
+ "537 0.0 \n",
+ "538 0.0 \n",
"\n",
- "[535 rows x 158 columns]"
+ "[539 rows x 158 columns]"
]
},
- "execution_count": 49,
+ "execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
@@ -2161,7 +2067,7 @@
},
{
"cell_type": "code",
- "execution_count": 50,
+ "execution_count": 17,
"id": "6a0e43cd",
"metadata": {},
"outputs": [],
@@ -2181,7 +2087,7 @@
},
{
"cell_type": "code",
- "execution_count": 51,
+ "execution_count": 18,
"id": "61fac91a",
"metadata": {},
"outputs": [
@@ -2189,8 +2095,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "vote_avg 6.020000\n",
- "vote_std 0.206692\n",
+ "vote_avg 6.090909\n",
+ "vote_std 0.360285\n",
"dtype: float64\n"
]
},
@@ -2227,83 +2133,83 @@
" \n",
" \n",
" 1 \n",
- " 5.833333 \n",
- " 0.235702 \n",
+ " 6.750000 \n",
+ " 0.250000 \n",
" \n",
" \n",
" 2 \n",
+ " 5.750000 \n",
+ " 0.250000 \n",
+ " \n",
+ " \n",
+ " 3 \n",
+ " 6.375000 \n",
+ " 0.414578 \n",
+ " \n",
+ " \n",
+ " 4 \n",
" 6.000000 \n",
" 0.000000 \n",
" \n",
" \n",
- " 3 \n",
- " 7.000000 \n",
- " 0.000000 \n",
- " \n",
- " \n",
- " 4 \n",
- " 6.166667 \n",
- " 0.235702 \n",
- " \n",
- " \n",
" 5 \n",
- " 5.666667 \n",
- " 0.471405 \n",
+ " 5.875000 \n",
+ " 0.544862 \n",
" \n",
" \n",
" 6 \n",
+ " 6.125000 \n",
+ " 0.216506 \n",
+ " \n",
+ " \n",
+ " 7 \n",
+ " 6.000000 \n",
+ " 0.353553 \n",
+ " \n",
+ " \n",
+ " 8 \n",
" 6.500000 \n",
" 0.707107 \n",
" \n",
" \n",
- " 7 \n",
- " 6.166667 \n",
- " 0.235702 \n",
- " \n",
- " \n",
- " 8 \n",
- " 6.000000 \n",
- " 0.408248 \n",
- " \n",
- " \n",
" 9 \n",
- " 6.000000 \n",
- " 0.000000 \n",
+ " 6.625000 \n",
+ " 0.414578 \n",
" \n",
" \n",
" 10 \n",
- " 6.500000 \n",
- " 0.408248 \n",
+ " 5.625000 \n",
+ " 0.414578 \n",
" \n",
" \n",
" 11 \n",
- " 5.500000 \n",
- " 0.408248 \n",
+ " 5.750000 \n",
+ " 0.250000 \n",
" \n",
" \n",
" 12 \n",
- " 6.500000 \n",
- " 0.000000 \n",
+ " 5.875000 \n",
+ " 0.819680 \n",
" \n",
" \n",
" 13 \n",
- " 5.666667 \n",
- " 0.849837 \n",
+ " 6.500000 \n",
+ " 0.353553 \n",
" \n",
" \n",
" 14 \n",
- " 6.333333 \n",
- " 0.235702 \n",
+ " 5.875000 \n",
+ " 0.216506 \n",
" \n",
" \n",
" 15 \n",
- " 6.000000 \n",
- " 0.000000 \n",
+ " 6.125000 \n",
+ " 0.649519 \n",
" \n",
" \n",
" 16 \n",
- " 5.000000 \n",
- " 0.000000 \n",
+ " 6.333333 \n",
+ " 0.849837 \n",
" \n",
" \n",
" 17 \n",
@@ -2317,34 +2223,19 @@
" \n",
" \n",
" 19 \n",
- " 5.750000 \n",
- " 0.250000 \n",
- " \n",
- " \n",
- " 20 \n",
" 6.000000 \n",
" 0.000000 \n",
" \n",
" \n",
+ " 20 \n",
+ " 6.000000 \n",
+ " 0.500000 \n",
+ " \n",
+ " \n",
" 21 \n",
- " 6.500000 \n",
- " 0.000000 \n",
- " \n",
- " \n",
- " 22 \n",
- " 6.500000 \n",
- " 0.000000 \n",
- " \n",
- " \n",
- " 23 \n",
" 5.750000 \n",
" 0.250000 \n",
" \n",
- " \n",
- " 24 \n",
- " 5.000000 \n",
- " 0.000000 \n",
- " \n",
" \n",
"\n",
""
@@ -2352,39 +2243,36 @@
"text/plain": [
" vote_avg vote_std\n",
"0 6.000000 0.000000\n",
- "1 5.833333 0.235702\n",
- "2 6.000000 0.000000\n",
- "3 7.000000 0.000000\n",
- "4 6.166667 0.235702\n",
- "5 5.666667 0.471405\n",
- "6 6.500000 0.707107\n",
- "7 6.166667 0.235702\n",
- "8 6.000000 0.408248\n",
- "9 6.000000 0.000000\n",
- "10 6.500000 0.408248\n",
- "11 5.500000 0.408248\n",
- "12 6.500000 0.000000\n",
- "13 5.666667 0.849837\n",
- "14 6.333333 0.235702\n",
- "15 6.000000 0.000000\n",
- "16 5.000000 0.000000\n",
+ "1 6.750000 0.250000\n",
+ "2 5.750000 0.250000\n",
+ "3 6.375000 0.414578\n",
+ "4 6.000000 0.000000\n",
+ "5 5.875000 0.544862\n",
+ "6 6.125000 0.216506\n",
+ "7 6.000000 0.353553\n",
+ "8 6.500000 0.707107\n",
+ "9 6.625000 0.414578\n",
+ "10 5.625000 0.414578\n",
+ "11 5.750000 0.250000\n",
+ "12 5.875000 0.819680\n",
+ "13 6.500000 0.353553\n",
+ "14 5.875000 0.216506\n",
+ "15 6.125000 0.649519\n",
+ "16 6.333333 0.849837\n",
"17 5.833333 0.235702\n",
"18 6.333333 0.235702\n",
- "19 5.750000 0.250000\n",
- "20 6.000000 0.000000\n",
- "21 6.500000 0.000000\n",
- "22 6.500000 0.000000\n",
- "23 5.750000 0.250000\n",
- "24 5.000000 0.000000"
+ "19 6.000000 0.000000\n",
+ "20 6.000000 0.500000\n",
+ "21 5.750000 0.250000"
]
},
- "execution_count": 51,
+ "execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "min_votes = 2 # TO BE UPDATED WHEN SERIE A HAS MORE CALENDAR WEEKS PLAYED\n",
+ "min_votes = 3 # TO BE UPDATED WHEN SERIE A HAS MORE CALENDAR WEEKS PLAYED\n",
"\n",
"perf_df_P = pd.DataFrame(columns = ['vote_avg', 'vote_std'])\n",
"\n",
@@ -2417,7 +2305,7 @@
},
{
"cell_type": "code",
- "execution_count": 52,
+ "execution_count": 19,
"id": "c9312080",
"metadata": {},
"outputs": [
@@ -2454,23 +2342,23 @@
" \n",
" \n",
" 1 \n",
- " 5.833333 \n",
- " 0.235702 \n",
+ " 6.750000 \n",
+ " 0.250000 \n",
" \n",
" \n",
" 2 \n",
- " 6.000000 \n",
- " 0.000000 \n",
+ " 5.750000 \n",
+ " 0.250000 \n",
" \n",
" \n",
" 3 \n",
- " 7.000000 \n",
- " 0.000000 \n",
+ " 6.375000 \n",
+ " 0.414578 \n",
" \n",
" \n",
" 4 \n",
- " 6.166667 \n",
- " 0.235702 \n",
+ " 6.000000 \n",
+ " 0.000000 \n",
" \n",
" \n",
" ... \n",
@@ -2478,53 +2366,53 @@
" ... \n",
" \n",
" \n",
- " 530 \n",
- " 6.217118 \n",
- " 0.000000 \n",
+ " 534 \n",
+ " 5.750000 \n",
+ " 0.250000 \n",
" \n",
" \n",
- " 531 \n",
+ " 535 \n",
" 6.000000 \n",
" 0.000000 \n",
" \n",
" \n",
- " 532 \n",
- " 5.378980 \n",
+ " 536 \n",
+ " 5.799850 \n",
" 0.000000 \n",
" \n",
" \n",
- " 533 \n",
- " 5.558549 \n",
+ " 537 \n",
+ " 6.447669 \n",
" 0.000000 \n",
" \n",
" \n",
- " 534 \n",
- " 5.292137 \n",
+ " 538 \n",
+ " 6.437600 \n",
" 0.000000 \n",
" \n",
" \n",
"\n",
- "535 rows × 2 columns
\n",
+ "539 rows × 2 columns
\n",
""
],
"text/plain": [
" vote_avg vote_std\n",
"0 6.000000 0.000000\n",
- "1 5.833333 0.235702\n",
- "2 6.000000 0.000000\n",
- "3 7.000000 0.000000\n",
- "4 6.166667 0.235702\n",
+ "1 6.750000 0.250000\n",
+ "2 5.750000 0.250000\n",
+ "3 6.375000 0.414578\n",
+ "4 6.000000 0.000000\n",
".. ... ...\n",
- "530 6.217118 0.000000\n",
- "531 6.000000 0.000000\n",
- "532 5.378980 0.000000\n",
- "533 5.558549 0.000000\n",
- "534 5.292137 0.000000\n",
+ "534 5.750000 0.250000\n",
+ "535 6.000000 0.000000\n",
+ "536 5.799850 0.000000\n",
+ "537 6.447669 0.000000\n",
+ "538 6.437600 0.000000\n",
"\n",
- "[535 rows x 2 columns]"
+ "[539 rows x 2 columns]"
]
},
- "execution_count": 52,
+ "execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
@@ -2569,7 +2457,7 @@
},
{
"cell_type": "code",
- "execution_count": 53,
+ "execution_count": 20,
"id": "b2570ce5",
"metadata": {},
"outputs": [
@@ -2620,123 +2508,123 @@
" \n",
" \n",
" 0 \n",
- " 4312 \n",
- " P \n",
- " Maignan \n",
- " Milan \n",
- " Maignan \n",
- " \n",
- " 406 \n",
- " 28-068 \n",
- " 1995 \n",
- " 0 \n",
- " ... \n",
- " 65.0 \n",
- " 49.3 \n",
- " 43 \n",
- " 12 \n",
- " 27.9 \n",
- " 3 \n",
- " 1.00 \n",
- " 10.3 \n",
- " 6.000000 \n",
- " 0.000000 \n",
- " \n",
- " \n",
- " 1 \n",
- " 572 \n",
- " P \n",
- " Meret \n",
- " Napoli \n",
- " Meret \n",
- " \n",
- " 408 \n",
- " 26-171 \n",
- " 1997 \n",
- " 0 \n",
- " ... \n",
- " 0.0 \n",
- " 21.4 \n",
- " 15 \n",
- " 1 \n",
- " 6.7 \n",
- " 5 \n",
- " 1.67 \n",
- " 18.1 \n",
- " 5.833333 \n",
- " 0.235702 \n",
- " \n",
- " \n",
- " 2 \n",
" 2428 \n",
" P \n",
" Sommer \n",
" Inter \n",
" Sommer \n",
" \n",
- " 420 \n",
- " 34-266 \n",
+ " 452 \n",
+ " 34-278 \n",
" 1988 \n",
" 0 \n",
" ... \n",
- " 23.8 \n",
- " 31.0 \n",
- " 35 \n",
- " 1 \n",
- " 2.9 \n",
+ " 20.7 \n",
+ " 28.3 \n",
+ " 41 \n",
+ " 2 \n",
+ " 4.9 \n",
" 0 \n",
" 0.00 \n",
- " 6.8 \n",
+ " 6.5 \n",
" 6.000000 \n",
" 0.000000 \n",
" \n",
" \n",
- " 3 \n",
+ " 1 \n",
" 453 \n",
" P \n",
" Szczesny \n",
" Juventus \n",
" Szczesny \n",
" \n",
- " 421 \n",
- " 33-144 \n",
+ " 454 \n",
+ " 33-156 \n",
" 1990 \n",
" 0 \n",
" ... \n",
" 66.7 \n",
- " 53.3 \n",
- " 16 \n",
+ " 52.0 \n",
+ " 33 \n",
" 1 \n",
- " 6.3 \n",
+ " 3.0 \n",
" 0 \n",
" 0.00 \n",
- " 10.8 \n",
- " 7.000000 \n",
- " 0.000000 \n",
+ " 9.6 \n",
+ " 6.750000 \n",
+ " 0.250000 \n",
" \n",
" \n",
- " 4 \n",
+ " 2 \n",
+ " 572 \n",
+ " P \n",
+ " Meret \n",
+ " Napoli \n",
+ " Meret \n",
+ " \n",
+ " 440 \n",
+ " 26-183 \n",
+ " 1997 \n",
+ " 0 \n",
+ " ... \n",
+ " 0.0 \n",
+ " 20.4 \n",
+ " 27 \n",
+ " 1 \n",
+ " 3.7 \n",
+ " 7 \n",
+ " 1.75 \n",
+ " 18.2 \n",
+ " 5.750000 \n",
+ " 0.250000 \n",
+ " \n",
+ " \n",
+ " 3 \n",
" 2814 \n",
" P \n",
" Provedel \n",
" Lazio \n",
" Provedel \n",
" \n",
- " 416 \n",
- " 29-176 \n",
+ " 448 \n",
+ " 29-188 \n",
" 1994 \n",
" 0 \n",
" ... \n",
- " 27.3 \n",
- " 31.6 \n",
- " 39 \n",
+ " 20.0 \n",
+ " 27.9 \n",
+ " 48 \n",
" 2 \n",
- " 5.1 \n",
+ " 4.2 \n",
" 6 \n",
- " 2.00 \n",
- " 16.3 \n",
- " 6.166667 \n",
- " 0.235702 \n",
+ " 1.50 \n",
+ " 15.7 \n",
+ " 6.375000 \n",
+ " 0.414578 \n",
+ " \n",
+ " \n",
+ " 4 \n",
+ " 4312 \n",
+ " P \n",
+ " Maignan \n",
+ " Milan \n",
+ " Maignan \n",
+ " \n",
+ " 438 \n",
+ " 28-080 \n",
+ " 1995 \n",
+ " 0 \n",
+ " ... \n",
+ " 60.9 \n",
+ " 47.0 \n",
+ " 52 \n",
+ " 12 \n",
+ " 23.1 \n",
+ " 3 \n",
+ " 0.75 \n",
+ " 9.8 \n",
+ " 6.000000 \n",
+ " 0.000000 \n",
" \n",
" \n",
" ... \n",
@@ -2763,17 +2651,17 @@
" ... \n",
" \n",
" \n",
- " 530 \n",
- " 6242 \n",
+ " 534 \n",
+ " 6395 \n",
" A \n",
- " Bidaoui \n",
- " Frosinone \n",
- " Bidaoui \n",
- " \n",
- " -1 \n",
- " 0 \n",
- " 0 \n",
- " 0 \n",
+ " Shpendi S. \n",
+ " Empoli \n",
+ " Shpendi \n",
+ " S \n",
+ " 361 \n",
+ " 20-125 \n",
+ " 2003 \n",
+ " 3 \n",
" ... \n",
" 0.0 \n",
" 0.0 \n",
@@ -2783,19 +2671,19 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 6.217118 \n",
- " 0.000000 \n",
+ " 5.750000 \n",
+ " 0.250000 \n",
" \n",
" \n",
- " 531 \n",
+ " 535 \n",
" 6418 \n",
" A \n",
" Burnete \n",
" Lecce \n",
" Burnete \n",
" \n",
- " 51 \n",
- " 19-221 \n",
+ " 55 \n",
+ " 19-233 \n",
" 2004 \n",
" 1 \n",
" ... \n",
@@ -2811,7 +2699,7 @@
" 0.000000 \n",
" \n",
" \n",
- " 532 \n",
+ " 536 \n",
" 6419 \n",
" A \n",
" Corfitzen \n",
@@ -2831,11 +2719,11 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.378980 \n",
+ " 5.799850 \n",
" 0.000000 \n",
" \n",
" \n",
- " 533 \n",
+ " 537 \n",
" 6427 \n",
" A \n",
" Stewart \n",
@@ -2855,11 +2743,11 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.558549 \n",
+ " 6.447669 \n",
" 0.000000 \n",
" \n",
" \n",
- " 534 \n",
+ " 538 \n",
" 6434 \n",
" A \n",
" Yildiz \n",
@@ -2879,97 +2767,97 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.292137 \n",
+ " 6.437600 \n",
" 0.000000 \n",
" \n",
" \n",
"\n",
- "535 rows × 160 columns
\n",
+ "539 rows × 160 columns
\n",
""
],
"text/plain": [
- " id r name team surname initial fb_ID age \\\n",
- "0 4312 P Maignan Milan Maignan 406 28-068 \n",
- "1 572 P Meret Napoli Meret 408 26-171 \n",
- "2 2428 P Sommer Inter Sommer 420 34-266 \n",
- "3 453 P Szczesny Juventus Szczesny 421 33-144 \n",
- "4 2814 P Provedel Lazio Provedel 416 29-176 \n",
- ".. ... .. ... ... ... ... ... ... \n",
- "530 6242 A Bidaoui Frosinone Bidaoui -1 0 \n",
- "531 6418 A Burnete Lecce Burnete 51 19-221 \n",
- "532 6419 A Corfitzen Lecce Corfitzen -1 0 \n",
- "533 6427 A Stewart Salernitana Stewart -1 0 \n",
- "534 6434 A Yildiz Juventus Yildiz -1 0 \n",
+ " id r name team surname initial fb_ID age \\\n",
+ "0 2428 P Sommer Inter Sommer 452 34-278 \n",
+ "1 453 P Szczesny Juventus Szczesny 454 33-156 \n",
+ "2 572 P Meret Napoli Meret 440 26-183 \n",
+ "3 2814 P Provedel Lazio Provedel 448 29-188 \n",
+ "4 4312 P Maignan Milan Maignan 438 28-080 \n",
+ ".. ... .. ... ... ... ... ... ... \n",
+ "534 6395 A Shpendi S. Empoli Shpendi S 361 20-125 \n",
+ "535 6418 A Burnete Lecce Burnete 55 19-233 \n",
+ "536 6419 A Corfitzen Lecce Corfitzen -1 0 \n",
+ "537 6427 A Stewart Salernitana Stewart -1 0 \n",
+ "538 6434 A Yildiz Juventus Yildiz -1 0 \n",
"\n",
" birth_year games ... gk_pct_goal_kicks_launched \\\n",
- "0 1995 0 ... 65.0 \n",
- "1 1997 0 ... 0.0 \n",
- "2 1988 0 ... 23.8 \n",
- "3 1990 0 ... 66.7 \n",
- "4 1994 0 ... 27.3 \n",
+ "0 1988 0 ... 20.7 \n",
+ "1 1990 0 ... 66.7 \n",
+ "2 1997 0 ... 0.0 \n",
+ "3 1994 0 ... 20.0 \n",
+ "4 1995 0 ... 60.9 \n",
".. ... ... ... ... \n",
- "530 0 0 ... 0.0 \n",
- "531 2004 1 ... 0.0 \n",
- "532 0 0 ... 0.0 \n",
- "533 0 0 ... 0.0 \n",
- "534 0 0 ... 0.0 \n",
+ "534 2003 3 ... 0.0 \n",
+ "535 2004 1 ... 0.0 \n",
+ "536 0 0 ... 0.0 \n",
+ "537 0 0 ... 0.0 \n",
+ "538 0 0 ... 0.0 \n",
"\n",
" gk_goal_kick_length_avg gk_crosses gk_crosses_stopped \\\n",
- "0 49.3 43 12 \n",
- "1 21.4 15 1 \n",
- "2 31.0 35 1 \n",
- "3 53.3 16 1 \n",
- "4 31.6 39 2 \n",
+ "0 28.3 41 2 \n",
+ "1 52.0 33 1 \n",
+ "2 20.4 27 1 \n",
+ "3 27.9 48 2 \n",
+ "4 47.0 52 12 \n",
".. ... ... ... \n",
- "530 0.0 0 0 \n",
- "531 0.0 0 0 \n",
- "532 0.0 0 0 \n",
- "533 0.0 0 0 \n",
"534 0.0 0 0 \n",
+ "535 0.0 0 0 \n",
+ "536 0.0 0 0 \n",
+ "537 0.0 0 0 \n",
+ "538 0.0 0 0 \n",
"\n",
" gk_crosses_stopped_pct gk_def_actions_outside_pen_area \\\n",
- "0 27.9 3 \n",
- "1 6.7 5 \n",
- "2 2.9 0 \n",
- "3 6.3 0 \n",
- "4 5.1 6 \n",
+ "0 4.9 0 \n",
+ "1 3.0 0 \n",
+ "2 3.7 7 \n",
+ "3 4.2 6 \n",
+ "4 23.1 3 \n",
".. ... ... \n",
- "530 0.0 0 \n",
- "531 0.0 0 \n",
- "532 0.0 0 \n",
- "533 0.0 0 \n",
"534 0.0 0 \n",
+ "535 0.0 0 \n",
+ "536 0.0 0 \n",
+ "537 0.0 0 \n",
+ "538 0.0 0 \n",
"\n",
" gk_def_actions_outside_pen_area_per90 gk_avg_distance_def_actions \\\n",
- "0 1.00 10.3 \n",
- "1 1.67 18.1 \n",
- "2 0.00 6.8 \n",
- "3 0.00 10.8 \n",
- "4 2.00 16.3 \n",
+ "0 0.00 6.5 \n",
+ "1 0.00 9.6 \n",
+ "2 1.75 18.2 \n",
+ "3 1.50 15.7 \n",
+ "4 0.75 9.8 \n",
".. ... ... \n",
- "530 0.00 0.0 \n",
- "531 0.00 0.0 \n",
- "532 0.00 0.0 \n",
- "533 0.00 0.0 \n",
"534 0.00 0.0 \n",
+ "535 0.00 0.0 \n",
+ "536 0.00 0.0 \n",
+ "537 0.00 0.0 \n",
+ "538 0.00 0.0 \n",
"\n",
" vote_avg vote_std \n",
"0 6.000000 0.000000 \n",
- "1 5.833333 0.235702 \n",
- "2 6.000000 0.000000 \n",
- "3 7.000000 0.000000 \n",
- "4 6.166667 0.235702 \n",
+ "1 6.750000 0.250000 \n",
+ "2 5.750000 0.250000 \n",
+ "3 6.375000 0.414578 \n",
+ "4 6.000000 0.000000 \n",
".. ... ... \n",
- "530 6.217118 0.000000 \n",
- "531 6.000000 0.000000 \n",
- "532 5.378980 0.000000 \n",
- "533 5.558549 0.000000 \n",
- "534 5.292137 0.000000 \n",
+ "534 5.750000 0.250000 \n",
+ "535 6.000000 0.000000 \n",
+ "536 5.799850 0.000000 \n",
+ "537 6.447669 0.000000 \n",
+ "538 6.437600 0.000000 \n",
"\n",
- "[535 rows x 160 columns]"
+ "[539 rows x 160 columns]"
]
},
- "execution_count": 53,
+ "execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
@@ -2982,7 +2870,7 @@
},
{
"cell_type": "code",
- "execution_count": 54,
+ "execution_count": 21,
"id": "f7620abe",
"metadata": {},
"outputs": [
@@ -2992,7 +2880,7 @@
"'gk_games'"
]
},
- "execution_count": 54,
+ "execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
@@ -3015,7 +2903,7 @@
},
{
"cell_type": "code",
- "execution_count": 55,
+ "execution_count": 22,
"id": "700b7a7d",
"metadata": {},
"outputs": [
@@ -3023,8 +2911,6 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Carnesecchi, 0.0\n",
- "Cragno, 0.0\n",
"Sportiello, 0.0\n",
"Mirante, 0.0\n",
"Sepe, 0.0\n",
@@ -3052,7 +2938,6 @@
"Boer, 0.0\n",
"Bagnolini, 0.0\n",
"Svilar, 0.0\n",
- "Sorrentino A., 0.0\n",
"Martinelli T., 0.0\n",
"Popa, 0.0\n",
"Stubljar, 0.0\n",
@@ -3088,7 +2973,7 @@
},
{
"cell_type": "code",
- "execution_count": 56,
+ "execution_count": 23,
"id": "2d9eee99",
"metadata": {},
"outputs": [
@@ -3139,123 +3024,123 @@
" \n",
" \n",
" 0 \n",
- " 4312 \n",
- " P \n",
- " Maignan \n",
- " Milan \n",
- " Maignan \n",
- " \n",
- " 406 \n",
- " 28-068 \n",
- " 1995 \n",
- " 0 \n",
- " ... \n",
- " 65.0 \n",
- " 49.3 \n",
- " 43 \n",
- " 12 \n",
- " 27.9 \n",
- " 3 \n",
- " 1.00 \n",
- " 10.3 \n",
- " 6.000000 \n",
- " 0.000000 \n",
- " \n",
- " \n",
- " 1 \n",
- " 572 \n",
- " P \n",
- " Meret \n",
- " Napoli \n",
- " Meret \n",
- " \n",
- " 408 \n",
- " 26-171 \n",
- " 1997 \n",
- " 0 \n",
- " ... \n",
- " 0.0 \n",
- " 21.4 \n",
- " 15 \n",
- " 1 \n",
- " 6.7 \n",
- " 5 \n",
- " 1.67 \n",
- " 18.1 \n",
- " 5.833333 \n",
- " 0.235702 \n",
- " \n",
- " \n",
- " 2 \n",
" 2428 \n",
" P \n",
" Sommer \n",
" Inter \n",
" Sommer \n",
" \n",
- " 420 \n",
- " 34-266 \n",
+ " 452 \n",
+ " 34-278 \n",
" 1988 \n",
" 0 \n",
" ... \n",
- " 23.8 \n",
- " 31.0 \n",
- " 35 \n",
- " 1 \n",
- " 2.9 \n",
+ " 20.7 \n",
+ " 28.3 \n",
+ " 41 \n",
+ " 2 \n",
+ " 4.9 \n",
" 0 \n",
" 0.00 \n",
- " 6.8 \n",
+ " 6.5 \n",
" 6.000000 \n",
" 0.000000 \n",
" \n",
" \n",
- " 3 \n",
+ " 1 \n",
" 453 \n",
" P \n",
" Szczesny \n",
" Juventus \n",
" Szczesny \n",
" \n",
- " 421 \n",
- " 33-144 \n",
+ " 454 \n",
+ " 33-156 \n",
" 1990 \n",
" 0 \n",
" ... \n",
" 66.7 \n",
- " 53.3 \n",
- " 16 \n",
+ " 52.0 \n",
+ " 33 \n",
" 1 \n",
- " 6.3 \n",
+ " 3.0 \n",
" 0 \n",
" 0.00 \n",
- " 10.8 \n",
- " 7.000000 \n",
- " 0.000000 \n",
+ " 9.6 \n",
+ " 6.750000 \n",
+ " 0.250000 \n",
" \n",
" \n",
- " 4 \n",
+ " 2 \n",
+ " 572 \n",
+ " P \n",
+ " Meret \n",
+ " Napoli \n",
+ " Meret \n",
+ " \n",
+ " 440 \n",
+ " 26-183 \n",
+ " 1997 \n",
+ " 0 \n",
+ " ... \n",
+ " 0.0 \n",
+ " 20.4 \n",
+ " 27 \n",
+ " 1 \n",
+ " 3.7 \n",
+ " 7 \n",
+ " 1.75 \n",
+ " 18.2 \n",
+ " 5.750000 \n",
+ " 0.250000 \n",
+ " \n",
+ " \n",
+ " 3 \n",
" 2814 \n",
" P \n",
" Provedel \n",
" Lazio \n",
" Provedel \n",
" \n",
- " 416 \n",
- " 29-176 \n",
+ " 448 \n",
+ " 29-188 \n",
" 1994 \n",
" 0 \n",
" ... \n",
- " 27.3 \n",
- " 31.6 \n",
- " 39 \n",
+ " 20.0 \n",
+ " 27.9 \n",
+ " 48 \n",
" 2 \n",
- " 5.1 \n",
+ " 4.2 \n",
" 6 \n",
- " 2.00 \n",
- " 16.3 \n",
- " 6.166667 \n",
- " 0.235702 \n",
+ " 1.50 \n",
+ " 15.7 \n",
+ " 6.375000 \n",
+ " 0.414578 \n",
+ " \n",
+ " \n",
+ " 4 \n",
+ " 4312 \n",
+ " P \n",
+ " Maignan \n",
+ " Milan \n",
+ " Maignan \n",
+ " \n",
+ " 438 \n",
+ " 28-080 \n",
+ " 1995 \n",
+ " 0 \n",
+ " ... \n",
+ " 60.9 \n",
+ " 47.0 \n",
+ " 52 \n",
+ " 12 \n",
+ " 23.1 \n",
+ " 3 \n",
+ " 0.75 \n",
+ " 9.8 \n",
+ " 6.000000 \n",
+ " 0.000000 \n",
" \n",
" \n",
" ... \n",
@@ -3282,17 +3167,17 @@
" ... \n",
" \n",
" \n",
- " 530 \n",
- " 6242 \n",
+ " 534 \n",
+ " 6395 \n",
" A \n",
- " Bidaoui \n",
- " Frosinone \n",
- " Bidaoui \n",
- " \n",
- " -1 \n",
- " 0 \n",
- " 0 \n",
- " 0 \n",
+ " Shpendi S. \n",
+ " Empoli \n",
+ " Shpendi \n",
+ " S \n",
+ " 361 \n",
+ " 20-125 \n",
+ " 2003 \n",
+ " 3 \n",
" ... \n",
" 0.0 \n",
" 0.0 \n",
@@ -3302,19 +3187,19 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 6.217118 \n",
- " 0.000000 \n",
+ " 5.750000 \n",
+ " 0.250000 \n",
" \n",
" \n",
- " 531 \n",
+ " 535 \n",
" 6418 \n",
" A \n",
" Burnete \n",
" Lecce \n",
" Burnete \n",
" \n",
- " 51 \n",
- " 19-221 \n",
+ " 55 \n",
+ " 19-233 \n",
" 2004 \n",
" 1 \n",
" ... \n",
@@ -3330,7 +3215,7 @@
" 0.000000 \n",
" \n",
" \n",
- " 532 \n",
+ " 536 \n",
" 6419 \n",
" A \n",
" Corfitzen \n",
@@ -3350,11 +3235,11 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.378980 \n",
+ " 5.799850 \n",
" 0.000000 \n",
" \n",
" \n",
- " 533 \n",
+ " 537 \n",
" 6427 \n",
" A \n",
" Stewart \n",
@@ -3374,11 +3259,11 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.558549 \n",
+ " 6.447669 \n",
" 0.000000 \n",
" \n",
" \n",
- " 534 \n",
+ " 538 \n",
" 6434 \n",
" A \n",
" Yildiz \n",
@@ -3398,97 +3283,97 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.292137 \n",
+ " 6.437600 \n",
" 0.000000 \n",
" \n",
" \n",
"\n",
- "535 rows × 160 columns
\n",
+ "539 rows × 160 columns
\n",
""
],
"text/plain": [
- " id r name team surname initial fb_ID age \\\n",
- "0 4312 P Maignan Milan Maignan 406 28-068 \n",
- "1 572 P Meret Napoli Meret 408 26-171 \n",
- "2 2428 P Sommer Inter Sommer 420 34-266 \n",
- "3 453 P Szczesny Juventus Szczesny 421 33-144 \n",
- "4 2814 P Provedel Lazio Provedel 416 29-176 \n",
- ".. ... .. ... ... ... ... ... ... \n",
- "530 6242 A Bidaoui Frosinone Bidaoui -1 0 \n",
- "531 6418 A Burnete Lecce Burnete 51 19-221 \n",
- "532 6419 A Corfitzen Lecce Corfitzen -1 0 \n",
- "533 6427 A Stewart Salernitana Stewart -1 0 \n",
- "534 6434 A Yildiz Juventus Yildiz -1 0 \n",
+ " id r name team surname initial fb_ID age \\\n",
+ "0 2428 P Sommer Inter Sommer 452 34-278 \n",
+ "1 453 P Szczesny Juventus Szczesny 454 33-156 \n",
+ "2 572 P Meret Napoli Meret 440 26-183 \n",
+ "3 2814 P Provedel Lazio Provedel 448 29-188 \n",
+ "4 4312 P Maignan Milan Maignan 438 28-080 \n",
+ ".. ... .. ... ... ... ... ... ... \n",
+ "534 6395 A Shpendi S. Empoli Shpendi S 361 20-125 \n",
+ "535 6418 A Burnete Lecce Burnete 55 19-233 \n",
+ "536 6419 A Corfitzen Lecce Corfitzen -1 0 \n",
+ "537 6427 A Stewart Salernitana Stewart -1 0 \n",
+ "538 6434 A Yildiz Juventus Yildiz -1 0 \n",
"\n",
" birth_year games ... gk_pct_goal_kicks_launched \\\n",
- "0 1995 0 ... 65.0 \n",
- "1 1997 0 ... 0.0 \n",
- "2 1988 0 ... 23.8 \n",
- "3 1990 0 ... 66.7 \n",
- "4 1994 0 ... 27.3 \n",
+ "0 1988 0 ... 20.7 \n",
+ "1 1990 0 ... 66.7 \n",
+ "2 1997 0 ... 0.0 \n",
+ "3 1994 0 ... 20.0 \n",
+ "4 1995 0 ... 60.9 \n",
".. ... ... ... ... \n",
- "530 0 0 ... 0.0 \n",
- "531 2004 1 ... 0.0 \n",
- "532 0 0 ... 0.0 \n",
- "533 0 0 ... 0.0 \n",
- "534 0 0 ... 0.0 \n",
+ "534 2003 3 ... 0.0 \n",
+ "535 2004 1 ... 0.0 \n",
+ "536 0 0 ... 0.0 \n",
+ "537 0 0 ... 0.0 \n",
+ "538 0 0 ... 0.0 \n",
"\n",
" gk_goal_kick_length_avg gk_crosses gk_crosses_stopped \\\n",
- "0 49.3 43 12 \n",
- "1 21.4 15 1 \n",
- "2 31.0 35 1 \n",
- "3 53.3 16 1 \n",
- "4 31.6 39 2 \n",
+ "0 28.3 41 2 \n",
+ "1 52.0 33 1 \n",
+ "2 20.4 27 1 \n",
+ "3 27.9 48 2 \n",
+ "4 47.0 52 12 \n",
".. ... ... ... \n",
- "530 0.0 0 0 \n",
- "531 0.0 0 0 \n",
- "532 0.0 0 0 \n",
- "533 0.0 0 0 \n",
"534 0.0 0 0 \n",
+ "535 0.0 0 0 \n",
+ "536 0.0 0 0 \n",
+ "537 0.0 0 0 \n",
+ "538 0.0 0 0 \n",
"\n",
" gk_crosses_stopped_pct gk_def_actions_outside_pen_area \\\n",
- "0 27.9 3 \n",
- "1 6.7 5 \n",
- "2 2.9 0 \n",
- "3 6.3 0 \n",
- "4 5.1 6 \n",
+ "0 4.9 0 \n",
+ "1 3.0 0 \n",
+ "2 3.7 7 \n",
+ "3 4.2 6 \n",
+ "4 23.1 3 \n",
".. ... ... \n",
- "530 0.0 0 \n",
- "531 0.0 0 \n",
- "532 0.0 0 \n",
- "533 0.0 0 \n",
"534 0.0 0 \n",
+ "535 0.0 0 \n",
+ "536 0.0 0 \n",
+ "537 0.0 0 \n",
+ "538 0.0 0 \n",
"\n",
" gk_def_actions_outside_pen_area_per90 gk_avg_distance_def_actions \\\n",
- "0 1.00 10.3 \n",
- "1 1.67 18.1 \n",
- "2 0.00 6.8 \n",
- "3 0.00 10.8 \n",
- "4 2.00 16.3 \n",
+ "0 0.00 6.5 \n",
+ "1 0.00 9.6 \n",
+ "2 1.75 18.2 \n",
+ "3 1.50 15.7 \n",
+ "4 0.75 9.8 \n",
".. ... ... \n",
- "530 0.00 0.0 \n",
- "531 0.00 0.0 \n",
- "532 0.00 0.0 \n",
- "533 0.00 0.0 \n",
"534 0.00 0.0 \n",
+ "535 0.00 0.0 \n",
+ "536 0.00 0.0 \n",
+ "537 0.00 0.0 \n",
+ "538 0.00 0.0 \n",
"\n",
" vote_avg vote_std \n",
"0 6.000000 0.000000 \n",
- "1 5.833333 0.235702 \n",
- "2 6.000000 0.000000 \n",
- "3 7.000000 0.000000 \n",
- "4 6.166667 0.235702 \n",
+ "1 6.750000 0.250000 \n",
+ "2 5.750000 0.250000 \n",
+ "3 6.375000 0.414578 \n",
+ "4 6.000000 0.000000 \n",
".. ... ... \n",
- "530 6.217118 0.000000 \n",
- "531 6.000000 0.000000 \n",
- "532 5.378980 0.000000 \n",
- "533 5.558549 0.000000 \n",
- "534 5.292137 0.000000 \n",
+ "534 5.750000 0.250000 \n",
+ "535 6.000000 0.000000 \n",
+ "536 5.799850 0.000000 \n",
+ "537 6.447669 0.000000 \n",
+ "538 6.437600 0.000000 \n",
"\n",
- "[535 rows x 160 columns]"
+ "[539 rows x 160 columns]"
]
},
- "execution_count": 56,
+ "execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
@@ -3509,7 +3394,7 @@
},
{
"cell_type": "code",
- "execution_count": 57,
+ "execution_count": 24,
"id": "8336c025",
"metadata": {},
"outputs": [],
diff --git a/.ipynb_checkpoints/4_player_match_dataset_creation-checkpoint.ipynb b/.ipynb_checkpoints/4_player_match_dataset_creation-checkpoint.ipynb
index 216cf31..cf38fbd 100644
--- a/.ipynb_checkpoints/4_player_match_dataset_creation-checkpoint.ipynb
+++ b/.ipynb_checkpoints/4_player_match_dataset_creation-checkpoint.ipynb
@@ -32,7 +32,7 @@
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 2,
"id": "8a6867a5",
"metadata": {},
"outputs": [
@@ -108,482 +108,482 @@
" \n",
" Atalanta \n",
" Atalanta \n",
- " 20.0 \n",
- " 51.7 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 6.0 \n",
- " 6.0 \n",
+ " 23.0 \n",
+ " 49.5 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 8.0 \n",
+ " 8.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 28.0 \n",
- " 33.0 \n",
+ " 36.0 \n",
+ " 47.0 \n",
" 2.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 157.0 \n",
- " 44.0 \n",
- " 42.0 \n",
- " 51.2 \n",
+ " 212.0 \n",
+ " 65.0 \n",
+ " 60.0 \n",
+ " 52.0 \n",
" \n",
" \n",
" Bologna \n",
" Bologna \n",
- " 20.0 \n",
- " 55.3 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 22.0 \n",
+ " 56.5 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 3.0 \n",
" 2.0 \n",
" 0.0 \n",
" 1.0 \n",
" ... \n",
- " 32.0 \n",
- " 30.0 \n",
- " 7.0 \n",
+ " 50.0 \n",
+ " 40.0 \n",
+ " 12.0 \n",
" 0.0 \n",
" 1.0 \n",
" 0.0 \n",
- " 157.0 \n",
- " 23.0 \n",
- " 29.0 \n",
- " 44.2 \n",
+ " 207.0 \n",
+ " 34.0 \n",
+ " 46.0 \n",
+ " 42.5 \n",
" \n",
" \n",
" Cagliari \n",
" Cagliari \n",
- " 19.0 \n",
- " 35.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 21.0 \n",
+ " 37.8 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 1.0 \n",
" 1.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 27.0 \n",
- " 29.0 \n",
- " 4.0 \n",
+ " 38.0 \n",
+ " 41.0 \n",
+ " 5.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 165.0 \n",
- " 44.0 \n",
- " 37.0 \n",
- " 54.3 \n",
+ " 220.0 \n",
+ " 60.0 \n",
+ " 51.0 \n",
+ " 54.1 \n",
" \n",
" \n",
" Empoli \n",
" Empoli \n",
- " 26.0 \n",
- " 48.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 27.0 \n",
+ " 47.8 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 45.0 \n",
- " 38.0 \n",
- " 6.0 \n",
+ " 60.0 \n",
+ " 42.0 \n",
+ " 8.0 \n",
" 1.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 152.0 \n",
- " 42.0 \n",
- " 30.0 \n",
- " 58.3 \n",
+ " 203.0 \n",
+ " 54.0 \n",
+ " 39.0 \n",
+ " 58.1 \n",
" \n",
" \n",
" Fiorentina \n",
" Fiorentina \n",
- " 21.0 \n",
- " 62.3 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 6.0 \n",
- " 5.0 \n",
+ " 22.0 \n",
+ " 61.0 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 9.0 \n",
+ " 7.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 42.0 \n",
- " 36.0 \n",
- " 3.0 \n",
+ " 56.0 \n",
+ " 43.0 \n",
+ " 5.0 \n",
" 1.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 142.0 \n",
- " 38.0 \n",
- " 32.0 \n",
- " 54.3 \n",
+ " 202.0 \n",
+ " 56.0 \n",
+ " 53.0 \n",
+ " 51.4 \n",
" \n",
" \n",
" Frosinone \n",
" Frosinone \n",
- " 21.0 \n",
- " 46.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 3.0 \n",
- " 2.0 \n",
- " 1.0 \n",
- " 1.0 \n",
- " ... \n",
- " 41.0 \n",
- " 31.0 \n",
+ " 23.0 \n",
+ " 48.3 \n",
" 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 7.0 \n",
+ " 4.0 \n",
+ " 2.0 \n",
+ " 2.0 \n",
+ " ... \n",
+ " 50.0 \n",
+ " 39.0 \n",
+ " 6.0 \n",
" 0.0 \n",
- " 1.0 \n",
+ " 2.0 \n",
" 0.0 \n",
- " 168.0 \n",
- " 46.0 \n",
- " 42.0 \n",
- " 52.3 \n",
+ " 212.0 \n",
+ " 53.0 \n",
+ " 52.0 \n",
+ " 50.5 \n",
" \n",
" \n",
" Genoa \n",
" Genoa \n",
- " 18.0 \n",
- " 33.0 \n",
+ " 19.0 \n",
+ " 33.3 \n",
+ " 4.0 \n",
+ " 44.0 \n",
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" 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 2.0 \n",
- " 1.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 35.0 \n",
- " 31.0 \n",
- " 6.0 \n",
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+ " 9.0 \n",
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" 0.0 \n",
" 0.0 \n",
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- " 32.0 \n",
- " 44.0 \n",
- " 42.1 \n",
+ " 200.0 \n",
+ " 46.0 \n",
+ " 60.0 \n",
+ " 43.4 \n",
" \n",
" \n",
" Verona \n",
" Hellas Verona \n",
- " 19.0 \n",
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- " 3.0 \n",
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- " 270.0 \n",
+ " 21.0 \n",
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" 4.0 \n",
" 2.0 \n",
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" 0.0 \n",
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" 47.0 \n",
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" 0.0 \n",
" 0.0 \n",
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" 71.0 \n",
- " 43.2 \n",
+ " 82.0 \n",
+ " 46.4 \n",
" \n",
" \n",
" Inter \n",
" Inter \n",
- " 18.0 \n",
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- " 270.0 \n",
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" 30.0 \n",
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- " 0.0 \n",
- " 1.0 \n",
- " 0.0 \n",
- " 128.0 \n",
- " 24.0 \n",
- " 36.0 \n",
- " 40.0 \n",
+ " 44.0 \n",
+ " 40.5 \n",
" \n",
" \n",
" Juventus \n",
" Juventus \n",
" 21.0 \n",
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" 1.0 \n",
" 2.0 \n",
" ... \n",
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" 0.0 \n",
" 2.0 \n",
" 0.0 \n",
- " 134.0 \n",
- " 22.0 \n",
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" 26.0 \n",
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+ " 38.0 \n",
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" \n",
" \n",
" Lazio \n",
" Lazio \n",
- " 19.0 \n",
- " 53.3 \n",
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" \n",
" \n",
" Lecce \n",
" Lecce \n",
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" 0.0 \n",
- " 1.0 \n",
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" 0.0 \n",
- " 150.0 \n",
- " 33.0 \n",
- " 46.0 \n",
- " 41.8 \n",
+ " 203.0 \n",
+ " 43.0 \n",
+ " 54.0 \n",
+ " 44.3 \n",
" \n",
" \n",
" Milan \n",
" Milan \n",
- " 18.0 \n",
- " 54.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 8.0 \n",
- " 5.0 \n",
+ " 19.0 \n",
+ " 55.3 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 9.0 \n",
+ " 6.0 \n",
" 3.0 \n",
" 3.0 \n",
" ... \n",
- " 40.0 \n",
- " 31.0 \n",
- " 5.0 \n",
- " 0.0 \n",
+ " 56.0 \n",
+ " 43.0 \n",
+ " 7.0 \n",
+ " 1.0 \n",
" 3.0 \n",
" 0.0 \n",
- " 145.0 \n",
- " 34.0 \n",
- " 27.0 \n",
- " 55.7 \n",
+ " 176.0 \n",
+ " 42.0 \n",
+ " 33.0 \n",
+ " 56.0 \n",
" \n",
" \n",
" Monza \n",
" Monza \n",
- " 21.0 \n",
- " 55.3 \n",
+ " 22.0 \n",
+ " 56.8 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 3.0 \n",
" 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 2.0 \n",
- " 2.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 26.0 \n",
- " 35.0 \n",
- " 6.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 144.0 \n",
" 37.0 \n",
- " 27.0 \n",
- " 57.8 \n",
+ " 52.0 \n",
+ " 6.0 \n",
+ " 1.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 187.0 \n",
+ " 45.0 \n",
+ " 37.0 \n",
+ " 54.9 \n",
" \n",
" \n",
" Napoli \n",
" Napoli \n",
- " 18.0 \n",
- " 60.3 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 6.0 \n",
- " 3.0 \n",
+ " 19.0 \n",
+ " 61.8 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 8.0 \n",
+ " 5.0 \n",
" 1.0 \n",
" 2.0 \n",
" ... \n",
- " 33.0 \n",
- " 33.0 \n",
- " 6.0 \n",
+ " 47.0 \n",
+ " 39.0 \n",
+ " 7.0 \n",
" 1.0 \n",
" 2.0 \n",
" 0.0 \n",
- " 124.0 \n",
- " 19.0 \n",
- " 33.0 \n",
- " 36.5 \n",
+ " 173.0 \n",
+ " 35.0 \n",
+ " 47.0 \n",
+ " 42.7 \n",
" \n",
" \n",
" Roma \n",
" Roma \n",
- " 21.0 \n",
- " 58.3 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 23.0 \n",
+ " 57.0 \n",
" 4.0 \n",
- " 3.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " ... \n",
- " 41.0 \n",
- " 36.0 \n",
- " 2.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 10.0 \n",
+ " 8.0 \n",
" 1.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 114.0 \n",
- " 45.0 \n",
- " 64.0 \n",
- " 41.3 \n",
+ " 1.0 \n",
+ " ... \n",
+ " 46.0 \n",
+ " 51.0 \n",
+ " 4.0 \n",
+ " 1.0 \n",
+ " 1.0 \n",
+ " 1.0 \n",
+ " 159.0 \n",
+ " 54.0 \n",
+ " 76.0 \n",
+ " 41.5 \n",
" \n",
" \n",
" Salernitana \n",
" Salernitana \n",
" 21.0 \n",
- " 50.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 51.5 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 3.0 \n",
" 3.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 48.0 \n",
- " 34.0 \n",
- " 2.0 \n",
+ " 64.0 \n",
+ " 46.0 \n",
+ " 4.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 151.0 \n",
- " 68.0 \n",
- " 37.0 \n",
- " 64.8 \n",
+ " 203.0 \n",
+ " 86.0 \n",
+ " 54.0 \n",
+ " 61.4 \n",
" \n",
" \n",
" Sassuolo \n",
" Sassuolo \n",
- " 22.0 \n",
- " 43.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 3.0 \n",
- " 2.0 \n",
+ " 24.0 \n",
+ " 43.5 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 5.0 \n",
+ " 4.0 \n",
" 1.0 \n",
" 1.0 \n",
" ... \n",
- " 35.0 \n",
- " 25.0 \n",
- " 10.0 \n",
- " 1.0 \n",
+ " 45.0 \n",
+ " 34.0 \n",
+ " 15.0 \n",
+ " 2.0 \n",
" 1.0 \n",
" 0.0 \n",
- " 159.0 \n",
- " 40.0 \n",
- " 30.0 \n",
- " 57.1 \n",
+ " 207.0 \n",
+ " 50.0 \n",
+ " 37.0 \n",
+ " 57.5 \n",
" \n",
" \n",
" Torino \n",
" Torino \n",
- " 20.0 \n",
- " 53.7 \n",
+ " 22.0 \n",
+ " 51.3 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 5.0 \n",
" 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 2.0 \n",
- " 2.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 32.0 \n",
- " 33.0 \n",
- " 5.0 \n",
+ " 44.0 \n",
+ " 48.0 \n",
+ " 7.0 \n",
" 1.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 151.0 \n",
- " 46.0 \n",
- " 41.0 \n",
- " 52.9 \n",
+ " 207.0 \n",
+ " 63.0 \n",
+ " 59.0 \n",
+ " 51.6 \n",
" \n",
" \n",
" Udinese \n",
" Udinese \n",
- " 18.0 \n",
- " 46.7 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 22.0 \n",
+ " 48.5 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 1.0 \n",
" 1.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 31.0 \n",
- " 41.0 \n",
- " 7.0 \n",
+ " 43.0 \n",
+ " 51.0 \n",
+ " 10.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 137.0 \n",
- " 38.0 \n",
- " 48.0 \n",
- " 44.2 \n",
+ " 188.0 \n",
+ " 52.0 \n",
+ " 64.0 \n",
+ " 44.8 \n",
" \n",
" \n",
"\n",
@@ -593,95 +593,95 @@
"text/plain": [
" team team_players_used team_possession team_games \\\n",
"team_idx \n",
- "Atalanta Atalanta 20.0 51.7 3.0 \n",
- "Bologna Bologna 20.0 55.3 3.0 \n",
- "Cagliari Cagliari 19.0 35.0 3.0 \n",
- "Empoli Empoli 26.0 48.0 3.0 \n",
- "Fiorentina Fiorentina 21.0 62.3 3.0 \n",
- "Frosinone Frosinone 21.0 46.0 3.0 \n",
- "Genoa Genoa 18.0 33.0 3.0 \n",
- "Verona Hellas Verona 19.0 44.7 3.0 \n",
- "Inter Inter 18.0 51.3 3.0 \n",
- "Juventus Juventus 21.0 53.0 3.0 \n",
- "Lazio Lazio 19.0 53.3 3.0 \n",
- "Lecce Lecce 18.0 45.0 3.0 \n",
- "Milan Milan 18.0 54.0 3.0 \n",
- "Monza Monza 21.0 55.3 3.0 \n",
- "Napoli Napoli 18.0 60.3 3.0 \n",
- "Roma Roma 21.0 58.3 3.0 \n",
- "Salernitana Salernitana 21.0 50.0 3.0 \n",
- "Sassuolo Sassuolo 22.0 43.0 3.0 \n",
- "Torino Torino 20.0 53.7 3.0 \n",
- "Udinese Udinese 18.0 46.7 3.0 \n",
+ "Atalanta Atalanta 23.0 49.5 4.0 \n",
+ "Bologna Bologna 22.0 56.5 4.0 \n",
+ "Cagliari Cagliari 21.0 37.8 4.0 \n",
+ "Empoli Empoli 27.0 47.8 4.0 \n",
+ "Fiorentina Fiorentina 22.0 61.0 4.0 \n",
+ "Frosinone Frosinone 23.0 48.3 4.0 \n",
+ "Genoa Genoa 19.0 33.3 4.0 \n",
+ "Verona Hellas Verona 21.0 43.5 4.0 \n",
+ "Inter Inter 19.0 48.8 4.0 \n",
+ "Juventus Juventus 21.0 48.8 4.0 \n",
+ "Lazio Lazio 20.0 56.0 4.0 \n",
+ "Lecce Lecce 19.0 43.5 4.0 \n",
+ "Milan Milan 19.0 55.3 4.0 \n",
+ "Monza Monza 22.0 56.8 4.0 \n",
+ "Napoli Napoli 19.0 61.8 4.0 \n",
+ "Roma Roma 23.0 57.0 4.0 \n",
+ "Salernitana Salernitana 21.0 51.5 4.0 \n",
+ "Sassuolo Sassuolo 24.0 43.5 4.0 \n",
+ "Torino Torino 22.0 51.3 4.0 \n",
+ "Udinese Udinese 22.0 48.5 4.0 \n",
"\n",
" team_games_starts team_minutes team_goals team_assists \\\n",
"team_idx \n",
- "Atalanta 33.0 270.0 6.0 6.0 \n",
- "Bologna 33.0 270.0 3.0 2.0 \n",
- "Cagliari 33.0 270.0 1.0 1.0 \n",
- "Empoli 33.0 270.0 0.0 0.0 \n",
- "Fiorentina 33.0 270.0 6.0 5.0 \n",
- "Frosinone 33.0 270.0 3.0 2.0 \n",
- "Genoa 33.0 270.0 2.0 1.0 \n",
- "Verona 33.0 270.0 4.0 2.0 \n",
- "Inter 33.0 270.0 8.0 7.0 \n",
- "Juventus 33.0 270.0 6.0 4.0 \n",
- "Lazio 33.0 270.0 3.0 3.0 \n",
- "Lecce 33.0 270.0 6.0 5.0 \n",
- "Milan 33.0 270.0 8.0 5.0 \n",
- "Monza 33.0 270.0 2.0 2.0 \n",
- "Napoli 33.0 270.0 6.0 3.0 \n",
- "Roma 33.0 270.0 4.0 3.0 \n",
- "Salernitana 33.0 270.0 3.0 3.0 \n",
- "Sassuolo 33.0 270.0 3.0 2.0 \n",
- "Torino 33.0 270.0 2.0 2.0 \n",
- "Udinese 33.0 270.0 1.0 1.0 \n",
+ "Atalanta 44.0 360.0 8.0 8.0 \n",
+ "Bologna 44.0 360.0 3.0 2.0 \n",
+ "Cagliari 44.0 360.0 1.0 1.0 \n",
+ "Empoli 44.0 360.0 0.0 0.0 \n",
+ "Fiorentina 44.0 360.0 9.0 7.0 \n",
+ "Frosinone 44.0 360.0 7.0 4.0 \n",
+ "Genoa 44.0 360.0 4.0 3.0 \n",
+ "Verona 44.0 360.0 4.0 2.0 \n",
+ "Inter 44.0 360.0 13.0 11.0 \n",
+ "Juventus 44.0 360.0 9.0 7.0 \n",
+ "Lazio 44.0 360.0 4.0 4.0 \n",
+ "Lecce 44.0 360.0 7.0 5.0 \n",
+ "Milan 44.0 360.0 9.0 6.0 \n",
+ "Monza 44.0 360.0 3.0 3.0 \n",
+ "Napoli 44.0 360.0 8.0 5.0 \n",
+ "Roma 44.0 360.0 10.0 8.0 \n",
+ "Salernitana 44.0 360.0 3.0 3.0 \n",
+ "Sassuolo 44.0 360.0 5.0 4.0 \n",
+ "Torino 44.0 360.0 5.0 3.0 \n",
+ "Udinese 44.0 360.0 1.0 1.0 \n",
"\n",
" team_pens_made team_pens_att ... vs_team_fouls \\\n",
"team_idx ... \n",
- "Atalanta 0.0 0.0 ... 28.0 \n",
- "Bologna 0.0 1.0 ... 32.0 \n",
- "Cagliari 0.0 0.0 ... 27.0 \n",
- "Empoli 0.0 0.0 ... 45.0 \n",
- "Fiorentina 0.0 0.0 ... 42.0 \n",
- "Frosinone 1.0 1.0 ... 41.0 \n",
- "Genoa 0.0 0.0 ... 35.0 \n",
- "Verona 0.0 0.0 ... 37.0 \n",
- "Inter 1.0 1.0 ... 34.0 \n",
- "Juventus 1.0 2.0 ... 39.0 \n",
- "Lazio 0.0 0.0 ... 36.0 \n",
- "Lecce 1.0 1.0 ... 47.0 \n",
- "Milan 3.0 3.0 ... 40.0 \n",
- "Monza 0.0 0.0 ... 26.0 \n",
- "Napoli 1.0 2.0 ... 33.0 \n",
- "Roma 0.0 0.0 ... 41.0 \n",
- "Salernitana 0.0 0.0 ... 48.0 \n",
- "Sassuolo 1.0 1.0 ... 35.0 \n",
- "Torino 0.0 0.0 ... 32.0 \n",
- "Udinese 0.0 0.0 ... 31.0 \n",
+ "Atalanta 0.0 0.0 ... 36.0 \n",
+ "Bologna 0.0 1.0 ... 50.0 \n",
+ "Cagliari 0.0 0.0 ... 38.0 \n",
+ "Empoli 0.0 0.0 ... 60.0 \n",
+ "Fiorentina 0.0 0.0 ... 56.0 \n",
+ "Frosinone 2.0 2.0 ... 50.0 \n",
+ "Genoa 0.0 0.0 ... 43.0 \n",
+ "Verona 0.0 0.0 ... 47.0 \n",
+ "Inter 2.0 2.0 ... 47.0 \n",
+ "Juventus 1.0 2.0 ... 52.0 \n",
+ "Lazio 0.0 0.0 ... 49.0 \n",
+ "Lecce 2.0 2.0 ... 64.0 \n",
+ "Milan 3.0 3.0 ... 56.0 \n",
+ "Monza 0.0 0.0 ... 37.0 \n",
+ "Napoli 1.0 2.0 ... 47.0 \n",
+ "Roma 1.0 1.0 ... 46.0 \n",
+ "Salernitana 0.0 0.0 ... 64.0 \n",
+ "Sassuolo 1.0 1.0 ... 45.0 \n",
+ "Torino 0.0 0.0 ... 44.0 \n",
+ "Udinese 0.0 0.0 ... 43.0 \n",
"\n",
" vs_team_fouled vs_team_offsides vs_team_pens_won \\\n",
"team_idx \n",
- "Atalanta 33.0 2.0 0.0 \n",
- "Bologna 30.0 7.0 0.0 \n",
- "Cagliari 29.0 4.0 0.0 \n",
- "Empoli 38.0 6.0 1.0 \n",
- "Fiorentina 36.0 3.0 1.0 \n",
- "Frosinone 31.0 4.0 0.0 \n",
- "Genoa 31.0 6.0 0.0 \n",
- "Verona 47.0 6.0 1.0 \n",
- "Inter 30.0 3.0 0.0 \n",
- "Juventus 36.0 5.0 0.0 \n",
- "Lazio 31.0 6.0 0.0 \n",
- "Lecce 43.0 4.0 0.0 \n",
- "Milan 31.0 5.0 0.0 \n",
- "Monza 35.0 6.0 0.0 \n",
- "Napoli 33.0 6.0 1.0 \n",
- "Roma 36.0 2.0 1.0 \n",
- "Salernitana 34.0 2.0 0.0 \n",
- "Sassuolo 25.0 10.0 1.0 \n",
- "Torino 33.0 5.0 1.0 \n",
- "Udinese 41.0 7.0 0.0 \n",
+ "Atalanta 47.0 2.0 0.0 \n",
+ "Bologna 40.0 12.0 0.0 \n",
+ "Cagliari 41.0 5.0 0.0 \n",
+ "Empoli 42.0 8.0 1.0 \n",
+ "Fiorentina 43.0 5.0 1.0 \n",
+ "Frosinone 39.0 6.0 0.0 \n",
+ "Genoa 43.0 9.0 0.0 \n",
+ "Verona 63.0 7.0 1.0 \n",
+ "Inter 44.0 5.0 0.0 \n",
+ "Juventus 49.0 5.0 0.0 \n",
+ "Lazio 44.0 7.0 0.0 \n",
+ "Lecce 53.0 5.0 0.0 \n",
+ "Milan 43.0 7.0 1.0 \n",
+ "Monza 52.0 6.0 1.0 \n",
+ "Napoli 39.0 7.0 1.0 \n",
+ "Roma 51.0 4.0 1.0 \n",
+ "Salernitana 46.0 4.0 0.0 \n",
+ "Sassuolo 34.0 15.0 2.0 \n",
+ "Torino 48.0 7.0 1.0 \n",
+ "Udinese 51.0 10.0 0.0 \n",
"\n",
" vs_team_pens_conceded vs_team_own_goals \\\n",
"team_idx \n",
@@ -690,17 +690,17 @@
"Cagliari 0.0 0.0 \n",
"Empoli 0.0 0.0 \n",
"Fiorentina 0.0 0.0 \n",
- "Frosinone 1.0 0.0 \n",
+ "Frosinone 2.0 0.0 \n",
"Genoa 0.0 0.0 \n",
"Verona 0.0 0.0 \n",
- "Inter 1.0 0.0 \n",
+ "Inter 2.0 0.0 \n",
"Juventus 2.0 0.0 \n",
"Lazio 0.0 0.0 \n",
- "Lecce 1.0 0.0 \n",
+ "Lecce 2.0 0.0 \n",
"Milan 3.0 0.0 \n",
"Monza 0.0 0.0 \n",
"Napoli 2.0 0.0 \n",
- "Roma 0.0 0.0 \n",
+ "Roma 1.0 1.0 \n",
"Salernitana 0.0 0.0 \n",
"Sassuolo 1.0 0.0 \n",
"Torino 0.0 0.0 \n",
@@ -708,54 +708,54 @@
"\n",
" vs_team_ball_recoveries vs_team_aerials_won \\\n",
"team_idx \n",
- "Atalanta 157.0 44.0 \n",
- "Bologna 157.0 23.0 \n",
- "Cagliari 165.0 44.0 \n",
- "Empoli 152.0 42.0 \n",
- "Fiorentina 142.0 38.0 \n",
- "Frosinone 168.0 46.0 \n",
- "Genoa 148.0 32.0 \n",
- "Verona 138.0 54.0 \n",
- "Inter 128.0 24.0 \n",
- "Juventus 134.0 22.0 \n",
- "Lazio 155.0 39.0 \n",
- "Lecce 150.0 33.0 \n",
- "Milan 145.0 34.0 \n",
- "Monza 144.0 37.0 \n",
- "Napoli 124.0 19.0 \n",
- "Roma 114.0 45.0 \n",
- "Salernitana 151.0 68.0 \n",
- "Sassuolo 159.0 40.0 \n",
- "Torino 151.0 46.0 \n",
- "Udinese 137.0 38.0 \n",
+ "Atalanta 212.0 65.0 \n",
+ "Bologna 207.0 34.0 \n",
+ "Cagliari 220.0 60.0 \n",
+ "Empoli 203.0 54.0 \n",
+ "Fiorentina 202.0 56.0 \n",
+ "Frosinone 212.0 53.0 \n",
+ "Genoa 200.0 46.0 \n",
+ "Verona 190.0 71.0 \n",
+ "Inter 163.0 30.0 \n",
+ "Juventus 173.0 26.0 \n",
+ "Lazio 196.0 51.0 \n",
+ "Lecce 203.0 43.0 \n",
+ "Milan 176.0 42.0 \n",
+ "Monza 187.0 45.0 \n",
+ "Napoli 173.0 35.0 \n",
+ "Roma 159.0 54.0 \n",
+ "Salernitana 203.0 86.0 \n",
+ "Sassuolo 207.0 50.0 \n",
+ "Torino 207.0 63.0 \n",
+ "Udinese 188.0 52.0 \n",
"\n",
" vs_team_aerials_lost vs_team_aerials_won_pct \n",
"team_idx \n",
- "Atalanta 42.0 51.2 \n",
- "Bologna 29.0 44.2 \n",
- "Cagliari 37.0 54.3 \n",
- "Empoli 30.0 58.3 \n",
- "Fiorentina 32.0 54.3 \n",
- "Frosinone 42.0 52.3 \n",
- "Genoa 44.0 42.1 \n",
- "Verona 71.0 43.2 \n",
- "Inter 36.0 40.0 \n",
- "Juventus 26.0 45.8 \n",
- "Lazio 26.0 60.0 \n",
- "Lecce 46.0 41.8 \n",
- "Milan 27.0 55.7 \n",
- "Monza 27.0 57.8 \n",
- "Napoli 33.0 36.5 \n",
- "Roma 64.0 41.3 \n",
- "Salernitana 37.0 64.8 \n",
- "Sassuolo 30.0 57.1 \n",
- "Torino 41.0 52.9 \n",
- "Udinese 48.0 44.2 \n",
+ "Atalanta 60.0 52.0 \n",
+ "Bologna 46.0 42.5 \n",
+ "Cagliari 51.0 54.1 \n",
+ "Empoli 39.0 58.1 \n",
+ "Fiorentina 53.0 51.4 \n",
+ "Frosinone 52.0 50.5 \n",
+ "Genoa 60.0 43.4 \n",
+ "Verona 82.0 46.4 \n",
+ "Inter 44.0 40.5 \n",
+ "Juventus 38.0 40.6 \n",
+ "Lazio 30.0 63.0 \n",
+ "Lecce 54.0 44.3 \n",
+ "Milan 33.0 56.0 \n",
+ "Monza 37.0 54.9 \n",
+ "Napoli 47.0 42.7 \n",
+ "Roma 76.0 41.5 \n",
+ "Salernitana 54.0 61.4 \n",
+ "Sassuolo 37.0 57.5 \n",
+ "Torino 59.0 51.6 \n",
+ "Udinese 64.0 44.8 \n",
"\n",
"[20 rows x 303 columns]"
]
},
- "execution_count": 15,
+ "execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
@@ -789,7 +789,7 @@
},
{
"cell_type": "code",
- "execution_count": 16,
+ "execution_count": 3,
"id": "b6a3db98",
"metadata": {},
"outputs": [],
@@ -807,7 +807,7 @@
},
{
"cell_type": "code",
- "execution_count": 17,
+ "execution_count": 4,
"id": "c34eb398",
"metadata": {},
"outputs": [
@@ -881,124 +881,124 @@
" \n",
" \n",
" \n",
- " Maignan \n",
- " 0 \n",
- " 4312 \n",
- " P \n",
- " Milan \n",
- " Maignan \n",
- " NaN \n",
- " 406 \n",
- " 28-068 \n",
- " 1995 \n",
- " 0 \n",
- " ... \n",
- " 65.0 \n",
- " 49.3 \n",
- " 43 \n",
- " 12 \n",
- " 27.9 \n",
- " 3 \n",
- " 1.00 \n",
- " 10.3 \n",
- " 6.000000 \n",
- " 0.000000 \n",
- " \n",
- " \n",
- " Meret \n",
- " 1 \n",
- " 572 \n",
- " P \n",
- " Napoli \n",
- " Meret \n",
- " NaN \n",
- " 408 \n",
- " 26-171 \n",
- " 1997 \n",
- " 0 \n",
- " ... \n",
- " 0.0 \n",
- " 21.4 \n",
- " 15 \n",
- " 1 \n",
- " 6.7 \n",
- " 5 \n",
- " 1.67 \n",
- " 18.1 \n",
- " 5.833333 \n",
- " 0.235702 \n",
- " \n",
- " \n",
" Sommer \n",
- " 2 \n",
+ " 0 \n",
" 2428 \n",
" P \n",
" Inter \n",
" Sommer \n",
" NaN \n",
- " 420 \n",
- " 34-266 \n",
+ " 452 \n",
+ " 34-278 \n",
" 1988 \n",
" 0 \n",
" ... \n",
- " 23.8 \n",
- " 31.0 \n",
- " 35 \n",
- " 1 \n",
- " 2.9 \n",
+ " 20.7 \n",
+ " 28.3 \n",
+ " 41 \n",
+ " 2 \n",
+ " 4.9 \n",
" 0 \n",
" 0.00 \n",
- " 6.8 \n",
+ " 6.5 \n",
" 6.000000 \n",
" 0.000000 \n",
" \n",
" \n",
" Szczesny \n",
- " 3 \n",
+ " 1 \n",
" 453 \n",
" P \n",
" Juventus \n",
" Szczesny \n",
" NaN \n",
- " 421 \n",
- " 33-144 \n",
+ " 454 \n",
+ " 33-156 \n",
" 1990 \n",
" 0 \n",
" ... \n",
" 66.7 \n",
- " 53.3 \n",
- " 16 \n",
+ " 52.0 \n",
+ " 33 \n",
" 1 \n",
- " 6.3 \n",
+ " 3.0 \n",
" 0 \n",
" 0.00 \n",
- " 10.8 \n",
- " 7.000000 \n",
- " 0.000000 \n",
+ " 9.6 \n",
+ " 6.750000 \n",
+ " 0.250000 \n",
+ " \n",
+ " \n",
+ " Meret \n",
+ " 2 \n",
+ " 572 \n",
+ " P \n",
+ " Napoli \n",
+ " Meret \n",
+ " NaN \n",
+ " 440 \n",
+ " 26-183 \n",
+ " 1997 \n",
+ " 0 \n",
+ " ... \n",
+ " 0.0 \n",
+ " 20.4 \n",
+ " 27 \n",
+ " 1 \n",
+ " 3.7 \n",
+ " 7 \n",
+ " 1.75 \n",
+ " 18.2 \n",
+ " 5.750000 \n",
+ " 0.250000 \n",
" \n",
" \n",
" Provedel \n",
- " 4 \n",
+ " 3 \n",
" 2814 \n",
" P \n",
" Lazio \n",
" Provedel \n",
" NaN \n",
- " 416 \n",
- " 29-176 \n",
+ " 448 \n",
+ " 29-188 \n",
" 1994 \n",
" 0 \n",
" ... \n",
- " 27.3 \n",
- " 31.6 \n",
- " 39 \n",
+ " 20.0 \n",
+ " 27.9 \n",
+ " 48 \n",
" 2 \n",
- " 5.1 \n",
+ " 4.2 \n",
" 6 \n",
- " 2.00 \n",
- " 16.3 \n",
- " 6.166667 \n",
- " 0.235702 \n",
+ " 1.50 \n",
+ " 15.7 \n",
+ " 6.375000 \n",
+ " 0.414578 \n",
+ " \n",
+ " \n",
+ " Maignan \n",
+ " 4 \n",
+ " 4312 \n",
+ " P \n",
+ " Milan \n",
+ " Maignan \n",
+ " NaN \n",
+ " 438 \n",
+ " 28-080 \n",
+ " 1995 \n",
+ " 0 \n",
+ " ... \n",
+ " 60.9 \n",
+ " 47.0 \n",
+ " 52 \n",
+ " 12 \n",
+ " 23.1 \n",
+ " 3 \n",
+ " 0.75 \n",
+ " 9.8 \n",
+ " 6.000000 \n",
+ " 0.000000 \n",
" \n",
" \n",
" ... \n",
@@ -1025,17 +1025,17 @@
" ... \n",
" \n",
" \n",
- " Bidaoui \n",
- " 530 \n",
- " 6242 \n",
+ " Shpendi S. \n",
+ " 534 \n",
+ " 6395 \n",
" A \n",
- " Frosinone \n",
- " Bidaoui \n",
- " NaN \n",
- " -1 \n",
- " 0 \n",
- " 0 \n",
- " 0 \n",
+ " Empoli \n",
+ " Shpendi \n",
+ " S \n",
+ " 361 \n",
+ " 20-125 \n",
+ " 2003 \n",
+ " 3 \n",
" ... \n",
" 0.0 \n",
" 0.0 \n",
@@ -1045,19 +1045,19 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 6.455501 \n",
- " 0.000000 \n",
+ " 5.750000 \n",
+ " 0.250000 \n",
" \n",
" \n",
" Burnete \n",
- " 531 \n",
+ " 535 \n",
" 6418 \n",
" A \n",
" Lecce \n",
" Burnete \n",
" NaN \n",
- " 51 \n",
- " 19-221 \n",
+ " 55 \n",
+ " 19-233 \n",
" 2004 \n",
" 1 \n",
" ... \n",
@@ -1074,7 +1074,7 @@
" \n",
" \n",
" Corfitzen \n",
- " 532 \n",
+ " 536 \n",
" 6419 \n",
" A \n",
" Lecce \n",
@@ -1093,12 +1093,12 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.900518 \n",
+ " 5.799850 \n",
" 0.000000 \n",
" \n",
" \n",
" Stewart \n",
- " 533 \n",
+ " 537 \n",
" 6427 \n",
" A \n",
" Salernitana \n",
@@ -1117,12 +1117,12 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.417886 \n",
+ " 6.447669 \n",
" 0.000000 \n",
" \n",
" \n",
" Yildiz \n",
- " 534 \n",
+ " 538 \n",
" 6434 \n",
" A \n",
" Juventus \n",
@@ -1141,103 +1141,103 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.825580 \n",
+ " 6.437600 \n",
" 0.000000 \n",
" \n",
" \n",
"\n",
- "535 rows × 160 columns
\n",
+ "539 rows × 160 columns
\n",
""
],
"text/plain": [
- " Unnamed: 0 id r team surname initial fb_ID age \\\n",
- "name \n",
- "Maignan 0 4312 P Milan Maignan NaN 406 28-068 \n",
- "Meret 1 572 P Napoli Meret NaN 408 26-171 \n",
- "Sommer 2 2428 P Inter Sommer NaN 420 34-266 \n",
- "Szczesny 3 453 P Juventus Szczesny NaN 421 33-144 \n",
- "Provedel 4 2814 P Lazio Provedel NaN 416 29-176 \n",
- "... ... ... .. ... ... ... ... ... \n",
- "Bidaoui 530 6242 A Frosinone Bidaoui NaN -1 0 \n",
- "Burnete 531 6418 A Lecce Burnete NaN 51 19-221 \n",
- "Corfitzen 532 6419 A Lecce Corfitzen NaN -1 0 \n",
- "Stewart 533 6427 A Salernitana Stewart NaN -1 0 \n",
- "Yildiz 534 6434 A Juventus Yildiz NaN -1 0 \n",
+ " Unnamed: 0 id r team surname initial fb_ID \\\n",
+ "name \n",
+ "Sommer 0 2428 P Inter Sommer NaN 452 \n",
+ "Szczesny 1 453 P Juventus Szczesny NaN 454 \n",
+ "Meret 2 572 P Napoli Meret NaN 440 \n",
+ "Provedel 3 2814 P Lazio Provedel NaN 448 \n",
+ "Maignan 4 4312 P Milan Maignan NaN 438 \n",
+ "... ... ... .. ... ... ... ... \n",
+ "Shpendi S. 534 6395 A Empoli Shpendi S 361 \n",
+ "Burnete 535 6418 A Lecce Burnete NaN 55 \n",
+ "Corfitzen 536 6419 A Lecce Corfitzen NaN -1 \n",
+ "Stewart 537 6427 A Salernitana Stewart NaN -1 \n",
+ "Yildiz 538 6434 A Juventus Yildiz NaN -1 \n",
"\n",
- " birth_year games ... gk_pct_goal_kicks_launched \\\n",
- "name ... \n",
- "Maignan 1995 0 ... 65.0 \n",
- "Meret 1997 0 ... 0.0 \n",
- "Sommer 1988 0 ... 23.8 \n",
- "Szczesny 1990 0 ... 66.7 \n",
- "Provedel 1994 0 ... 27.3 \n",
- "... ... ... ... ... \n",
- "Bidaoui 0 0 ... 0.0 \n",
- "Burnete 2004 1 ... 0.0 \n",
- "Corfitzen 0 0 ... 0.0 \n",
- "Stewart 0 0 ... 0.0 \n",
- "Yildiz 0 0 ... 0.0 \n",
+ " age birth_year games ... gk_pct_goal_kicks_launched \\\n",
+ "name ... \n",
+ "Sommer 34-278 1988 0 ... 20.7 \n",
+ "Szczesny 33-156 1990 0 ... 66.7 \n",
+ "Meret 26-183 1997 0 ... 0.0 \n",
+ "Provedel 29-188 1994 0 ... 20.0 \n",
+ "Maignan 28-080 1995 0 ... 60.9 \n",
+ "... ... ... ... ... ... \n",
+ "Shpendi S. 20-125 2003 3 ... 0.0 \n",
+ "Burnete 19-233 2004 1 ... 0.0 \n",
+ "Corfitzen 0 0 0 ... 0.0 \n",
+ "Stewart 0 0 0 ... 0.0 \n",
+ "Yildiz 0 0 0 ... 0.0 \n",
"\n",
- " gk_goal_kick_length_avg gk_crosses gk_crosses_stopped \\\n",
- "name \n",
- "Maignan 49.3 43 12 \n",
- "Meret 21.4 15 1 \n",
- "Sommer 31.0 35 1 \n",
- "Szczesny 53.3 16 1 \n",
- "Provedel 31.6 39 2 \n",
- "... ... ... ... \n",
- "Bidaoui 0.0 0 0 \n",
- "Burnete 0.0 0 0 \n",
- "Corfitzen 0.0 0 0 \n",
- "Stewart 0.0 0 0 \n",
- "Yildiz 0.0 0 0 \n",
+ " gk_goal_kick_length_avg gk_crosses gk_crosses_stopped \\\n",
+ "name \n",
+ "Sommer 28.3 41 2 \n",
+ "Szczesny 52.0 33 1 \n",
+ "Meret 20.4 27 1 \n",
+ "Provedel 27.9 48 2 \n",
+ "Maignan 47.0 52 12 \n",
+ "... ... ... ... \n",
+ "Shpendi S. 0.0 0 0 \n",
+ "Burnete 0.0 0 0 \n",
+ "Corfitzen 0.0 0 0 \n",
+ "Stewart 0.0 0 0 \n",
+ "Yildiz 0.0 0 0 \n",
"\n",
- " gk_crosses_stopped_pct gk_def_actions_outside_pen_area \\\n",
- "name \n",
- "Maignan 27.9 3 \n",
- "Meret 6.7 5 \n",
- "Sommer 2.9 0 \n",
- "Szczesny 6.3 0 \n",
- "Provedel 5.1 6 \n",
- "... ... ... \n",
- "Bidaoui 0.0 0 \n",
- "Burnete 0.0 0 \n",
- "Corfitzen 0.0 0 \n",
- "Stewart 0.0 0 \n",
- "Yildiz 0.0 0 \n",
+ " gk_crosses_stopped_pct gk_def_actions_outside_pen_area \\\n",
+ "name \n",
+ "Sommer 4.9 0 \n",
+ "Szczesny 3.0 0 \n",
+ "Meret 3.7 7 \n",
+ "Provedel 4.2 6 \n",
+ "Maignan 23.1 3 \n",
+ "... ... ... \n",
+ "Shpendi S. 0.0 0 \n",
+ "Burnete 0.0 0 \n",
+ "Corfitzen 0.0 0 \n",
+ "Stewart 0.0 0 \n",
+ "Yildiz 0.0 0 \n",
"\n",
- " gk_def_actions_outside_pen_area_per90 gk_avg_distance_def_actions \\\n",
- "name \n",
- "Maignan 1.00 10.3 \n",
- "Meret 1.67 18.1 \n",
- "Sommer 0.00 6.8 \n",
- "Szczesny 0.00 10.8 \n",
- "Provedel 2.00 16.3 \n",
- "... ... ... \n",
- "Bidaoui 0.00 0.0 \n",
- "Burnete 0.00 0.0 \n",
- "Corfitzen 0.00 0.0 \n",
- "Stewart 0.00 0.0 \n",
- "Yildiz 0.00 0.0 \n",
+ " gk_def_actions_outside_pen_area_per90 \\\n",
+ "name \n",
+ "Sommer 0.00 \n",
+ "Szczesny 0.00 \n",
+ "Meret 1.75 \n",
+ "Provedel 1.50 \n",
+ "Maignan 0.75 \n",
+ "... ... \n",
+ "Shpendi S. 0.00 \n",
+ "Burnete 0.00 \n",
+ "Corfitzen 0.00 \n",
+ "Stewart 0.00 \n",
+ "Yildiz 0.00 \n",
"\n",
- " vote_avg vote_std \n",
- "name \n",
- "Maignan 6.000000 0.000000 \n",
- "Meret 5.833333 0.235702 \n",
- "Sommer 6.000000 0.000000 \n",
- "Szczesny 7.000000 0.000000 \n",
- "Provedel 6.166667 0.235702 \n",
- "... ... ... \n",
- "Bidaoui 6.455501 0.000000 \n",
- "Burnete 6.000000 0.000000 \n",
- "Corfitzen 5.900518 0.000000 \n",
- "Stewart 5.417886 0.000000 \n",
- "Yildiz 5.825580 0.000000 \n",
+ " gk_avg_distance_def_actions vote_avg vote_std \n",
+ "name \n",
+ "Sommer 6.5 6.000000 0.000000 \n",
+ "Szczesny 9.6 6.750000 0.250000 \n",
+ "Meret 18.2 5.750000 0.250000 \n",
+ "Provedel 15.7 6.375000 0.414578 \n",
+ "Maignan 9.8 6.000000 0.000000 \n",
+ "... ... ... ... \n",
+ "Shpendi S. 0.0 5.750000 0.250000 \n",
+ "Burnete 0.0 6.000000 0.000000 \n",
+ "Corfitzen 0.0 5.799850 0.000000 \n",
+ "Stewart 0.0 6.447669 0.000000 \n",
+ "Yildiz 0.0 6.437600 0.000000 \n",
"\n",
- "[535 rows x 160 columns]"
+ "[539 rows x 160 columns]"
]
},
- "execution_count": 17,
+ "execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
@@ -1259,7 +1259,7 @@
},
{
"cell_type": "code",
- "execution_count": 18,
+ "execution_count": 5,
"id": "71c8804e",
"metadata": {},
"outputs": [],
@@ -1294,7 +1294,7 @@
},
{
"cell_type": "code",
- "execution_count": 19,
+ "execution_count": 6,
"id": "7eb4e666",
"metadata": {},
"outputs": [
@@ -1345,27 +1345,27 @@
" \n",
" \n",
" Barella \n",
- " 259 \n",
+ " 260 \n",
" 1870 \n",
" C \n",
" Inter \n",
" Barella \n",
" NaN \n",
- " 20 \n",
- " 26-214 \n",
+ " 23 \n",
+ " 26-226 \n",
" 1997 \n",
- " 3 \n",
+ " 4 \n",
" ... \n",
- " 28.0 \n",
- " 33.0 \n",
+ " 36.0 \n",
+ " 47.0 \n",
" 2.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 157.0 \n",
- " 44.0 \n",
- " 42.0 \n",
- " 51.2 \n",
+ " 212.0 \n",
+ " 65.0 \n",
+ " 60.0 \n",
+ " 52.0 \n",
" \n",
" \n",
"\n",
@@ -1374,10 +1374,10 @@
],
"text/plain": [
" Unnamed: 0 id r team surname initial fb_ID age \\\n",
- "Barella 259 1870 C Inter Barella NaN 20 26-214 \n",
+ "Barella 260 1870 C Inter Barella NaN 23 26-226 \n",
"\n",
" birth_year games ... opp_vs_team_fouls opp_vs_team_fouled \\\n",
- "Barella 1997 3 ... 28.0 33.0 \n",
+ "Barella 1997 4 ... 36.0 47.0 \n",
"\n",
" opp_vs_team_offsides opp_vs_team_pens_won \\\n",
"Barella 2.0 0.0 \n",
@@ -1386,15 +1386,15 @@
"Barella 0.0 0.0 \n",
"\n",
" opp_vs_team_ball_recoveries opp_vs_team_aerials_won \\\n",
- "Barella 157.0 44.0 \n",
+ "Barella 212.0 65.0 \n",
"\n",
" opp_vs_team_aerials_lost opp_vs_team_aerials_won_pct \n",
- "Barella 42.0 51.2 \n",
+ "Barella 60.0 52.0 \n",
"\n",
"[1 rows x 766 columns]"
]
},
- "execution_count": 19,
+ "execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
@@ -1408,7 +1408,7 @@
},
{
"cell_type": "code",
- "execution_count": 20,
+ "execution_count": 7,
"id": "6b4c1b00",
"metadata": {},
"outputs": [
@@ -1418,7 +1418,7 @@
"'Inter'"
]
},
- "execution_count": 20,
+ "execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
@@ -1431,7 +1431,7 @@
},
{
"cell_type": "code",
- "execution_count": 21,
+ "execution_count": 8,
"id": "6ea6df1f",
"metadata": {},
"outputs": [
@@ -1531,7 +1531,7 @@
" 'vs_team_aerials_won_pct']"
]
},
- "execution_count": 21,
+ "execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
@@ -1563,7 +1563,7 @@
},
{
"cell_type": "code",
- "execution_count": 22,
+ "execution_count": 9,
"id": "47bc651f",
"metadata": {},
"outputs": [],
@@ -1717,7 +1717,7 @@
},
{
"cell_type": "code",
- "execution_count": 23,
+ "execution_count": 10,
"id": "3f43d509",
"metadata": {},
"outputs": [],
@@ -1748,7 +1748,7 @@
},
{
"cell_type": "code",
- "execution_count": 24,
+ "execution_count": 11,
"id": "930d00c7",
"metadata": {},
"outputs": [
@@ -1800,25 +1800,25 @@
" \n",
" Barella \n",
" C \n",
- " 3 \n",
- " 3 \n",
- " 218 \n",
+ " 4 \n",
+ " 4 \n",
+ " 281 \n",
" 25.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 86.1 \n",
+ " 86.2 \n",
" 100.0 \n",
- " 51.3 \n",
+ " 48.8 \n",
" ... \n",
+ " 0.003559 \n",
" 0.0 \n",
+ " 0.010676 \n",
+ " 0.010676 \n",
+ " 0.007117 \n",
" 0.0 \n",
- " 0.004587 \n",
- " 0.013761 \n",
- " 0.004587 \n",
- " 0.0 \n",
- " 0.555046 \n",
- " 0.03211 \n",
- " 0.027523 \n",
+ " 0.494662 \n",
+ " 0.024911 \n",
+ " 0.021352 \n",
" 0.0 \n",
" \n",
" \n",
@@ -1828,24 +1828,24 @@
],
"text/plain": [
" r games games_starts minutes shots_on_target_pct goals_per_shot \\\n",
- "Barella C 3 3 218 25.0 0.0 \n",
+ "Barella C 4 4 281 25.0 0.0 \n",
"\n",
" goals_per_shot_on_target passes_pct aerials_won_pct \\\n",
- "Barella 0.0 86.1 100.0 \n",
+ "Barella 0.0 86.2 100.0 \n",
"\n",
" team_possession ... miscontrols dispossessed fouls fouled \\\n",
- "Barella 51.3 ... 0.0 0.0 0.004587 0.013761 \n",
+ "Barella 48.8 ... 0.003559 0.0 0.010676 0.010676 \n",
"\n",
" aerials_won aerials_lost carries progressive_carries \\\n",
- "Barella 0.004587 0.0 0.555046 0.03211 \n",
+ "Barella 0.007117 0.0 0.494662 0.024911 \n",
"\n",
" carries_into_final_third carries_into_penalty_area \n",
- "Barella 0.027523 0.0 \n",
+ "Barella 0.021352 0.0 \n",
"\n",
"[1 rows x 112 columns]"
]
},
- "execution_count": 24,
+ "execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
@@ -1868,7 +1868,7 @@
},
{
"cell_type": "code",
- "execution_count": 25,
+ "execution_count": 12,
"id": "3ae718d2",
"metadata": {},
"outputs": [
@@ -1985,106 +1985,106 @@
" ... \n",
" \n",
" \n",
- " 859 \n",
- " 3 \n",
- " Folorunsho \n",
- " Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.0 \n",
- " \n",
- " \n",
- " 860 \n",
- " 3 \n",
+ " 1154 \n",
+ " 4 \n",
" Serdar \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.5 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
" 0 \n",
" 0 \n",
- " 0.0 \n",
+ " 0.5 \n",
" 5.5 \n",
" \n",
" \n",
- " 861 \n",
- " 3 \n",
+ " 1155 \n",
+ " 4 \n",
+ " Suslov \n",
+ " Verona \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.5 \n",
+ " 5.5 \n",
+ " \n",
+ " \n",
+ " 1156 \n",
+ " 4 \n",
" Bonazzoli \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.5 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
" 0 \n",
" 0 \n",
" 0.0 \n",
- " 5.5 \n",
+ " 6.0 \n",
" \n",
" \n",
- " 862 \n",
- " 3 \n",
+ " 1157 \n",
+ " 4 \n",
" Djuric \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 6.0 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 5.5 \n",
" 0 \n",
" 0 \n",
" 0.0 \n",
- " 6.0 \n",
+ " 5.5 \n",
" \n",
" \n",
- " 863 \n",
- " 3 \n",
+ " 1158 \n",
+ " 4 \n",
" Ngonge \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 6.5 \n",
+ " Bologna \n",
" 1 \n",
+ " 5.5 \n",
+ " 0 \n",
" 0 \n",
" 0.0 \n",
- " 9.5 \n",
+ " 5.5 \n",
" \n",
" \n",
"\n",
- "864 rows × 10 columns
\n",
+ "1159 rows × 10 columns
\n",
""
],
"text/plain": [
- " matchday player team oppteam home vote goals assists \\\n",
- "0 1 Musso Atalanta Sassuolo 0 6.5 0 0 \n",
- "1 1 Zappacosta Atalanta Sassuolo 0 6.5 0 0 \n",
- "2 1 Djimsiti Atalanta Sassuolo 0 6.0 0 0 \n",
- "3 1 Kolasinac Atalanta Sassuolo 0 6.5 0 0 \n",
- "4 1 Zortea Atalanta Sassuolo 0 7.0 1 0 \n",
- ".. ... ... ... ... ... ... ... ... \n",
- "859 3 Folorunsho Verona Sassuolo 0 5.0 0 0 \n",
- "860 3 Serdar Verona Sassuolo 0 5.5 0 0 \n",
- "861 3 Bonazzoli Verona Sassuolo 0 5.5 0 0 \n",
- "862 3 Djuric Verona Sassuolo 0 6.0 0 0 \n",
- "863 3 Ngonge Verona Sassuolo 0 6.5 1 0 \n",
+ " matchday player team oppteam home vote goals assists \\\n",
+ "0 1 Musso Atalanta Sassuolo 0 6.5 0 0 \n",
+ "1 1 Zappacosta Atalanta Sassuolo 0 6.5 0 0 \n",
+ "2 1 Djimsiti Atalanta Sassuolo 0 6.0 0 0 \n",
+ "3 1 Kolasinac Atalanta Sassuolo 0 6.5 0 0 \n",
+ "4 1 Zortea Atalanta Sassuolo 0 7.0 1 0 \n",
+ "... ... ... ... ... ... ... ... ... \n",
+ "1154 4 Serdar Verona Bologna 1 6.0 0 0 \n",
+ "1155 4 Suslov Verona Bologna 1 6.0 0 0 \n",
+ "1156 4 Bonazzoli Verona Bologna 1 6.0 0 0 \n",
+ "1157 4 Djuric Verona Bologna 1 5.5 0 0 \n",
+ "1158 4 Ngonge Verona Bologna 1 5.5 0 0 \n",
"\n",
- " cards_malus fantavote \n",
- "0 0.0 6.5 \n",
- "1 0.0 6.5 \n",
- "2 0.0 6.0 \n",
- "3 0.0 6.5 \n",
- "4 0.0 10.0 \n",
- ".. ... ... \n",
- "859 0.0 5.0 \n",
- "860 0.0 5.5 \n",
- "861 0.0 5.5 \n",
- "862 0.0 6.0 \n",
- "863 0.0 9.5 \n",
+ " cards_malus fantavote \n",
+ "0 0.0 6.5 \n",
+ "1 0.0 6.5 \n",
+ "2 0.0 6.0 \n",
+ "3 0.0 6.5 \n",
+ "4 0.0 10.0 \n",
+ "... ... ... \n",
+ "1154 0.5 5.5 \n",
+ "1155 0.5 5.5 \n",
+ "1156 0.0 6.0 \n",
+ "1157 0.0 5.5 \n",
+ "1158 0.0 5.5 \n",
"\n",
- "[864 rows x 10 columns]"
+ "[1159 rows x 10 columns]"
]
},
- "execution_count": 25,
+ "execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
@@ -2104,7 +2104,7 @@
},
{
"cell_type": "code",
- "execution_count": 26,
+ "execution_count": 13,
"id": "ec0bc56b",
"metadata": {},
"outputs": [
@@ -2120,7 +2120,10 @@
"500\n",
"600\n",
"700\n",
- "800\n"
+ "800\n",
+ "900\n",
+ "1000\n",
+ "1100\n"
]
}
],
@@ -2148,7 +2151,7 @@
},
{
"cell_type": "code",
- "execution_count": 27,
+ "execution_count": 14,
"id": "b292f9f9",
"metadata": {},
"outputs": [
@@ -2234,16 +2237,16 @@
" 0.0 \n",
" 6.5 \n",
" ... \n",
- " 0.026316 \n",
- " 0.015789 \n",
- " 0.010526 \n",
- " 0.021053 \n",
- " 0.005263 \n",
- " 0.021053 \n",
- " 0.394737 \n",
- " 0.047368 \n",
- " 0.026316 \n",
- " 0.015789 \n",
+ " 0.020161 \n",
+ " 0.012097 \n",
+ " 0.012097 \n",
+ " 0.016129 \n",
+ " 0.008065 \n",
+ " 0.016129 \n",
+ " 0.391129 \n",
+ " 0.040323 \n",
+ " 0.020161 \n",
+ " 0.012097 \n",
" \n",
" \n",
" 2 \n",
@@ -2282,16 +2285,16 @@
" 0.0 \n",
" 6.5 \n",
" ... \n",
- " 0.003717 \n",
- " 0.003717 \n",
- " 0.000000 \n",
- " 0.011152 \n",
- " 0.011152 \n",
- " 0.018587 \n",
- " 0.457249 \n",
- " 0.022305 \n",
- " 0.033457 \n",
- " 0.003717 \n",
+ " 0.002786 \n",
+ " 0.002786 \n",
+ " 0.002786 \n",
+ " 0.011142 \n",
+ " 0.013928 \n",
+ " 0.022284 \n",
+ " 0.412256 \n",
+ " 0.019499 \n",
+ " 0.025070 \n",
+ " 0.002786 \n",
" \n",
" \n",
" 4 \n",
@@ -2307,15 +2310,15 @@
" 10.0 \n",
" ... \n",
" 0.000000 \n",
- " 0.015625 \n",
- " 0.015625 \n",
+ " 0.020833 \n",
+ " 0.031250 \n",
" 0.000000 \n",
" 0.000000 \n",
- " 0.015625 \n",
- " 0.515625 \n",
+ " 0.010417 \n",
+ " 0.447917 \n",
" 0.062500 \n",
- " 0.046875 \n",
- " 0.015625 \n",
+ " 0.041667 \n",
+ " 0.010417 \n",
" \n",
" \n",
" ... \n",
@@ -2342,187 +2345,187 @@
" ... \n",
" \n",
" \n",
- " 859 \n",
- " 3 \n",
- " Folorunsho \n",
- " Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.0 \n",
- " ... \n",
- " 0.024490 \n",
- " 0.008163 \n",
- " 0.016327 \n",
- " 0.040816 \n",
- " 0.016327 \n",
- " 0.053061 \n",
- " 0.204082 \n",
- " 0.016327 \n",
- " 0.024490 \n",
- " 0.000000 \n",
- " \n",
- " \n",
- " 860 \n",
- " 3 \n",
+ " 1154 \n",
+ " 4 \n",
" Serdar \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.5 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
" 0 \n",
" 0 \n",
- " 0.0 \n",
+ " 0.5 \n",
" 5.5 \n",
" ... \n",
- " 0.036145 \n",
- " 0.012048 \n",
- " 0.012048 \n",
+ " 0.028846 \n",
+ " 0.009615 \n",
+ " 0.019231 \n",
" 0.000000 \n",
- " 0.012048 \n",
- " 0.036145 \n",
- " 0.204819 \n",
+ " 0.009615 \n",
+ " 0.038462 \n",
+ " 0.182692 \n",
" 0.000000 \n",
" 0.000000 \n",
" 0.000000 \n",
" \n",
" \n",
- " 861 \n",
- " 3 \n",
+ " 1155 \n",
+ " 4 \n",
+ " Suslov \n",
+ " Verona \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.5 \n",
+ " 5.5 \n",
+ " ... \n",
+ " 0.000000 \n",
+ " 0.000000 \n",
+ " 0.095238 \n",
+ " 0.047619 \n",
+ " 0.000000 \n",
+ " 0.000000 \n",
+ " 0.142857 \n",
+ " 0.000000 \n",
+ " 0.047619 \n",
+ " 0.000000 \n",
+ " \n",
+ " \n",
+ " 1156 \n",
+ " 4 \n",
" Bonazzoli \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.5 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
" 0 \n",
" 0 \n",
" 0.0 \n",
- " 5.5 \n",
+ " 6.0 \n",
" ... \n",
- " 0.045977 \n",
- " 0.011494 \n",
- " 0.000000 \n",
- " 0.034483 \n",
- " 0.000000 \n",
- " 0.034483 \n",
- " 0.344828 \n",
- " 0.022989 \n",
- " 0.022989 \n",
- " 0.011494 \n",
+ " 0.047297 \n",
+ " 0.006757 \n",
+ " 0.006757 \n",
+ " 0.040541 \n",
+ " 0.013514 \n",
+ " 0.020270 \n",
+ " 0.324324 \n",
+ " 0.020270 \n",
+ " 0.013514 \n",
+ " 0.013514 \n",
" \n",
" \n",
- " 862 \n",
- " 3 \n",
+ " 1157 \n",
+ " 4 \n",
" Djuric \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 6.0 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 5.5 \n",
" 0 \n",
" 0 \n",
" 0.0 \n",
- " 6.0 \n",
+ " 5.5 \n",
" ... \n",
- " 0.024390 \n",
- " 0.008130 \n",
- " 0.048780 \n",
- " 0.008130 \n",
- " 0.130081 \n",
- " 0.081301 \n",
- " 0.178862 \n",
- " 0.000000 \n",
+ " 0.026316 \n",
+ " 0.006579 \n",
+ " 0.046053 \n",
+ " 0.006579 \n",
+ " 0.138158 \n",
+ " 0.092105 \n",
+ " 0.171053 \n",
" 0.000000 \n",
+ " 0.013158 \n",
" 0.000000 \n",
" \n",
" \n",
- " 863 \n",
- " 3 \n",
+ " 1158 \n",
+ " 4 \n",
" Ngonge \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 6.5 \n",
+ " Bologna \n",
" 1 \n",
+ " 5.5 \n",
+ " 0 \n",
" 0 \n",
" 0.0 \n",
- " 9.5 \n",
+ " 5.5 \n",
" ... \n",
- " 0.022727 \n",
- " 0.009091 \n",
- " 0.040909 \n",
- " 0.013636 \n",
- " 0.013636 \n",
- " 0.018182 \n",
- " 0.227273 \n",
- " 0.040909 \n",
- " 0.013636 \n",
- " 0.018182 \n",
+ " 0.019355 \n",
+ " 0.012903 \n",
+ " 0.032258 \n",
+ " 0.009677 \n",
+ " 0.012903 \n",
+ " 0.022581 \n",
+ " 0.206452 \n",
+ " 0.035484 \n",
+ " 0.012903 \n",
+ " 0.016129 \n",
" \n",
" \n",
"\n",
- "864 rows × 122 columns
\n",
+ "1159 rows × 122 columns
\n",
""
],
"text/plain": [
- " matchday player team oppteam home vote goals assists \\\n",
- "0 1 Musso Atalanta Sassuolo 0 6.5 0 0 \n",
- "1 1 Zappacosta Atalanta Sassuolo 0 6.5 0 0 \n",
- "2 1 Djimsiti Atalanta Sassuolo 0 6.0 0 0 \n",
- "3 1 Kolasinac Atalanta Sassuolo 0 6.5 0 0 \n",
- "4 1 Zortea Atalanta Sassuolo 0 7.0 1 0 \n",
- ".. ... ... ... ... ... ... ... ... \n",
- "859 3 Folorunsho Verona Sassuolo 0 5.0 0 0 \n",
- "860 3 Serdar Verona Sassuolo 0 5.5 0 0 \n",
- "861 3 Bonazzoli Verona Sassuolo 0 5.5 0 0 \n",
- "862 3 Djuric Verona Sassuolo 0 6.0 0 0 \n",
- "863 3 Ngonge Verona Sassuolo 0 6.5 1 0 \n",
+ " matchday player team oppteam home vote goals assists \\\n",
+ "0 1 Musso Atalanta Sassuolo 0 6.5 0 0 \n",
+ "1 1 Zappacosta Atalanta Sassuolo 0 6.5 0 0 \n",
+ "2 1 Djimsiti Atalanta Sassuolo 0 6.0 0 0 \n",
+ "3 1 Kolasinac Atalanta Sassuolo 0 6.5 0 0 \n",
+ "4 1 Zortea Atalanta Sassuolo 0 7.0 1 0 \n",
+ "... ... ... ... ... ... ... ... ... \n",
+ "1154 4 Serdar Verona Bologna 1 6.0 0 0 \n",
+ "1155 4 Suslov Verona Bologna 1 6.0 0 0 \n",
+ "1156 4 Bonazzoli Verona Bologna 1 6.0 0 0 \n",
+ "1157 4 Djuric Verona Bologna 1 5.5 0 0 \n",
+ "1158 4 Ngonge Verona Bologna 1 5.5 0 0 \n",
"\n",
- " cards_malus fantavote ... miscontrols dispossessed fouls fouled \\\n",
- "0 0.0 6.5 ... 0.000000 0.000000 0.000000 0.000000 \n",
- "1 0.0 6.5 ... 0.026316 0.015789 0.010526 0.021053 \n",
- "2 0.0 6.0 ... 0.007874 0.000000 0.007874 0.000000 \n",
- "3 0.0 6.5 ... 0.003717 0.003717 0.000000 0.011152 \n",
- "4 0.0 10.0 ... 0.000000 0.015625 0.015625 0.000000 \n",
- ".. ... ... ... ... ... ... ... \n",
- "859 0.0 5.0 ... 0.024490 0.008163 0.016327 0.040816 \n",
- "860 0.0 5.5 ... 0.036145 0.012048 0.012048 0.000000 \n",
- "861 0.0 5.5 ... 0.045977 0.011494 0.000000 0.034483 \n",
- "862 0.0 6.0 ... 0.024390 0.008130 0.048780 0.008130 \n",
- "863 0.0 9.5 ... 0.022727 0.009091 0.040909 0.013636 \n",
+ " cards_malus fantavote ... miscontrols dispossessed fouls \\\n",
+ "0 0.0 6.5 ... 0.000000 0.000000 0.000000 \n",
+ "1 0.0 6.5 ... 0.020161 0.012097 0.012097 \n",
+ "2 0.0 6.0 ... 0.007874 0.000000 0.007874 \n",
+ "3 0.0 6.5 ... 0.002786 0.002786 0.002786 \n",
+ "4 0.0 10.0 ... 0.000000 0.020833 0.031250 \n",
+ "... ... ... ... ... ... ... \n",
+ "1154 0.5 5.5 ... 0.028846 0.009615 0.019231 \n",
+ "1155 0.5 5.5 ... 0.000000 0.000000 0.095238 \n",
+ "1156 0.0 6.0 ... 0.047297 0.006757 0.006757 \n",
+ "1157 0.0 5.5 ... 0.026316 0.006579 0.046053 \n",
+ "1158 0.0 5.5 ... 0.019355 0.012903 0.032258 \n",
"\n",
- " aerials_won aerials_lost carries progressive_carries \\\n",
- "0 0.000000 0.000000 0.000000 0.000000 \n",
- "1 0.005263 0.021053 0.394737 0.047368 \n",
- "2 0.019685 0.027559 0.350394 0.000000 \n",
- "3 0.011152 0.018587 0.457249 0.022305 \n",
- "4 0.000000 0.015625 0.515625 0.062500 \n",
- ".. ... ... ... ... \n",
- "859 0.016327 0.053061 0.204082 0.016327 \n",
- "860 0.012048 0.036145 0.204819 0.000000 \n",
- "861 0.000000 0.034483 0.344828 0.022989 \n",
- "862 0.130081 0.081301 0.178862 0.000000 \n",
- "863 0.013636 0.018182 0.227273 0.040909 \n",
+ " fouled aerials_won aerials_lost carries progressive_carries \\\n",
+ "0 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
+ "1 0.016129 0.008065 0.016129 0.391129 0.040323 \n",
+ "2 0.000000 0.019685 0.027559 0.350394 0.000000 \n",
+ "3 0.011142 0.013928 0.022284 0.412256 0.019499 \n",
+ "4 0.000000 0.000000 0.010417 0.447917 0.062500 \n",
+ "... ... ... ... ... ... \n",
+ "1154 0.000000 0.009615 0.038462 0.182692 0.000000 \n",
+ "1155 0.047619 0.000000 0.000000 0.142857 0.000000 \n",
+ "1156 0.040541 0.013514 0.020270 0.324324 0.020270 \n",
+ "1157 0.006579 0.138158 0.092105 0.171053 0.000000 \n",
+ "1158 0.009677 0.012903 0.022581 0.206452 0.035484 \n",
"\n",
- " carries_into_final_third carries_into_penalty_area \n",
- "0 0.000000 0.000000 \n",
- "1 0.026316 0.015789 \n",
- "2 0.000000 0.000000 \n",
- "3 0.033457 0.003717 \n",
- "4 0.046875 0.015625 \n",
- ".. ... ... \n",
- "859 0.024490 0.000000 \n",
- "860 0.000000 0.000000 \n",
- "861 0.022989 0.011494 \n",
- "862 0.000000 0.000000 \n",
- "863 0.013636 0.018182 \n",
+ " carries_into_final_third carries_into_penalty_area \n",
+ "0 0.000000 0.000000 \n",
+ "1 0.020161 0.012097 \n",
+ "2 0.000000 0.000000 \n",
+ "3 0.025070 0.002786 \n",
+ "4 0.041667 0.010417 \n",
+ "... ... ... \n",
+ "1154 0.000000 0.000000 \n",
+ "1155 0.047619 0.000000 \n",
+ "1156 0.013514 0.013514 \n",
+ "1157 0.013158 0.000000 \n",
+ "1158 0.012903 0.016129 \n",
"\n",
- "[864 rows x 122 columns]"
+ "[1159 rows x 122 columns]"
]
},
- "execution_count": 27,
+ "execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
@@ -2541,7 +2544,7 @@
},
{
"cell_type": "code",
- "execution_count": 28,
+ "execution_count": 15,
"id": "1db9f77f",
"metadata": {},
"outputs": [],
@@ -2553,7 +2556,7 @@
},
{
"cell_type": "code",
- "execution_count": 29,
+ "execution_count": 16,
"id": "f56df3ca",
"metadata": {},
"outputs": [
@@ -2615,16 +2618,16 @@
" 0.0 \n",
" 6.5 \n",
" ... \n",
- " 0.026316 \n",
- " 0.015789 \n",
- " 0.010526 \n",
- " 0.021053 \n",
- " 0.005263 \n",
- " 0.021053 \n",
- " 0.394737 \n",
- " 0.047368 \n",
- " 0.026316 \n",
- " 0.015789 \n",
+ " 0.020161 \n",
+ " 0.012097 \n",
+ " 0.012097 \n",
+ " 0.016129 \n",
+ " 0.008065 \n",
+ " 0.016129 \n",
+ " 0.391129 \n",
+ " 0.040323 \n",
+ " 0.020161 \n",
+ " 0.012097 \n",
" \n",
" \n",
" 2 \n",
@@ -2663,16 +2666,16 @@
" 0.0 \n",
" 6.5 \n",
" ... \n",
- " 0.003717 \n",
- " 0.003717 \n",
- " 0.000000 \n",
- " 0.011152 \n",
- " 0.011152 \n",
- " 0.018587 \n",
- " 0.457249 \n",
- " 0.022305 \n",
- " 0.033457 \n",
- " 0.003717 \n",
+ " 0.002786 \n",
+ " 0.002786 \n",
+ " 0.002786 \n",
+ " 0.011142 \n",
+ " 0.013928 \n",
+ " 0.022284 \n",
+ " 0.412256 \n",
+ " 0.019499 \n",
+ " 0.025070 \n",
+ " 0.002786 \n",
" \n",
" \n",
" 4 \n",
@@ -2688,15 +2691,15 @@
" 10.0 \n",
" ... \n",
" 0.000000 \n",
- " 0.015625 \n",
- " 0.015625 \n",
+ " 0.020833 \n",
+ " 0.031250 \n",
" 0.000000 \n",
" 0.000000 \n",
- " 0.015625 \n",
- " 0.515625 \n",
+ " 0.010417 \n",
+ " 0.447917 \n",
" 0.062500 \n",
- " 0.046875 \n",
- " 0.015625 \n",
+ " 0.041667 \n",
+ " 0.010417 \n",
" \n",
" \n",
" 5 \n",
@@ -2711,16 +2714,16 @@
" 0.0 \n",
" 7.5 \n",
" ... \n",
- " 0.012295 \n",
- " 0.004098 \n",
- " 0.016393 \n",
- " 0.000000 \n",
- " 0.004098 \n",
- " 0.024590 \n",
- " 0.434426 \n",
- " 0.016393 \n",
- " 0.016393 \n",
- " 0.004098 \n",
+ " 0.012384 \n",
+ " 0.003096 \n",
+ " 0.012384 \n",
+ " 0.006192 \n",
+ " 0.003096 \n",
+ " 0.027864 \n",
+ " 0.408669 \n",
+ " 0.015480 \n",
+ " 0.012384 \n",
+ " 0.003096 \n",
" \n",
" \n",
" ... \n",
@@ -2747,187 +2750,187 @@
" ... \n",
" \n",
" \n",
- " 859 \n",
- " 3 \n",
- " Folorunsho \n",
- " Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.0 \n",
- " ... \n",
- " 0.024490 \n",
- " 0.008163 \n",
- " 0.016327 \n",
- " 0.040816 \n",
- " 0.016327 \n",
- " 0.053061 \n",
- " 0.204082 \n",
- " 0.016327 \n",
- " 0.024490 \n",
- " 0.000000 \n",
- " \n",
- " \n",
- " 860 \n",
- " 3 \n",
+ " 1154 \n",
+ " 4 \n",
" Serdar \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.5 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
" 0 \n",
" 0 \n",
- " 0.0 \n",
+ " 0.5 \n",
" 5.5 \n",
" ... \n",
- " 0.036145 \n",
- " 0.012048 \n",
- " 0.012048 \n",
+ " 0.028846 \n",
+ " 0.009615 \n",
+ " 0.019231 \n",
" 0.000000 \n",
- " 0.012048 \n",
- " 0.036145 \n",
- " 0.204819 \n",
+ " 0.009615 \n",
+ " 0.038462 \n",
+ " 0.182692 \n",
" 0.000000 \n",
" 0.000000 \n",
" 0.000000 \n",
" \n",
" \n",
- " 861 \n",
- " 3 \n",
+ " 1155 \n",
+ " 4 \n",
+ " Suslov \n",
+ " Verona \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.5 \n",
+ " 5.5 \n",
+ " ... \n",
+ " 0.000000 \n",
+ " 0.000000 \n",
+ " 0.095238 \n",
+ " 0.047619 \n",
+ " 0.000000 \n",
+ " 0.000000 \n",
+ " 0.142857 \n",
+ " 0.000000 \n",
+ " 0.047619 \n",
+ " 0.000000 \n",
+ " \n",
+ " \n",
+ " 1156 \n",
+ " 4 \n",
" Bonazzoli \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.5 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
" 0 \n",
" 0 \n",
" 0.0 \n",
- " 5.5 \n",
+ " 6.0 \n",
" ... \n",
- " 0.045977 \n",
- " 0.011494 \n",
- " 0.000000 \n",
- " 0.034483 \n",
- " 0.000000 \n",
- " 0.034483 \n",
- " 0.344828 \n",
- " 0.022989 \n",
- " 0.022989 \n",
- " 0.011494 \n",
+ " 0.047297 \n",
+ " 0.006757 \n",
+ " 0.006757 \n",
+ " 0.040541 \n",
+ " 0.013514 \n",
+ " 0.020270 \n",
+ " 0.324324 \n",
+ " 0.020270 \n",
+ " 0.013514 \n",
+ " 0.013514 \n",
" \n",
" \n",
- " 862 \n",
- " 3 \n",
+ " 1157 \n",
+ " 4 \n",
" Djuric \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 6.0 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 5.5 \n",
" 0 \n",
" 0 \n",
" 0.0 \n",
- " 6.0 \n",
+ " 5.5 \n",
" ... \n",
- " 0.024390 \n",
- " 0.008130 \n",
- " 0.048780 \n",
- " 0.008130 \n",
- " 0.130081 \n",
- " 0.081301 \n",
- " 0.178862 \n",
- " 0.000000 \n",
+ " 0.026316 \n",
+ " 0.006579 \n",
+ " 0.046053 \n",
+ " 0.006579 \n",
+ " 0.138158 \n",
+ " 0.092105 \n",
+ " 0.171053 \n",
" 0.000000 \n",
+ " 0.013158 \n",
" 0.000000 \n",
" \n",
" \n",
- " 863 \n",
- " 3 \n",
+ " 1158 \n",
+ " 4 \n",
" Ngonge \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 6.5 \n",
+ " Bologna \n",
" 1 \n",
+ " 5.5 \n",
+ " 0 \n",
" 0 \n",
" 0.0 \n",
- " 9.5 \n",
+ " 5.5 \n",
" ... \n",
- " 0.022727 \n",
- " 0.009091 \n",
- " 0.040909 \n",
- " 0.013636 \n",
- " 0.013636 \n",
- " 0.018182 \n",
- " 0.227273 \n",
- " 0.040909 \n",
- " 0.013636 \n",
- " 0.018182 \n",
+ " 0.019355 \n",
+ " 0.012903 \n",
+ " 0.032258 \n",
+ " 0.009677 \n",
+ " 0.012903 \n",
+ " 0.022581 \n",
+ " 0.206452 \n",
+ " 0.035484 \n",
+ " 0.012903 \n",
+ " 0.016129 \n",
" \n",
" \n",
"\n",
- "795 rows × 122 columns
\n",
+ "1070 rows × 122 columns
\n",
""
],
"text/plain": [
- " matchday player team oppteam home vote goals assists \\\n",
- "1 1 Zappacosta Atalanta Sassuolo 0 6.5 0 0 \n",
- "2 1 Djimsiti Atalanta Sassuolo 0 6.0 0 0 \n",
- "3 1 Kolasinac Atalanta Sassuolo 0 6.5 0 0 \n",
- "4 1 Zortea Atalanta Sassuolo 0 7.0 1 0 \n",
- "5 1 Ruggeri Atalanta Sassuolo 0 6.5 0 1 \n",
- ".. ... ... ... ... ... ... ... ... \n",
- "859 3 Folorunsho Verona Sassuolo 0 5.0 0 0 \n",
- "860 3 Serdar Verona Sassuolo 0 5.5 0 0 \n",
- "861 3 Bonazzoli Verona Sassuolo 0 5.5 0 0 \n",
- "862 3 Djuric Verona Sassuolo 0 6.0 0 0 \n",
- "863 3 Ngonge Verona Sassuolo 0 6.5 1 0 \n",
+ " matchday player team oppteam home vote goals assists \\\n",
+ "1 1 Zappacosta Atalanta Sassuolo 0 6.5 0 0 \n",
+ "2 1 Djimsiti Atalanta Sassuolo 0 6.0 0 0 \n",
+ "3 1 Kolasinac Atalanta Sassuolo 0 6.5 0 0 \n",
+ "4 1 Zortea Atalanta Sassuolo 0 7.0 1 0 \n",
+ "5 1 Ruggeri Atalanta Sassuolo 0 6.5 0 1 \n",
+ "... ... ... ... ... ... ... ... ... \n",
+ "1154 4 Serdar Verona Bologna 1 6.0 0 0 \n",
+ "1155 4 Suslov Verona Bologna 1 6.0 0 0 \n",
+ "1156 4 Bonazzoli Verona Bologna 1 6.0 0 0 \n",
+ "1157 4 Djuric Verona Bologna 1 5.5 0 0 \n",
+ "1158 4 Ngonge Verona Bologna 1 5.5 0 0 \n",
"\n",
- " cards_malus fantavote ... miscontrols dispossessed fouls fouled \\\n",
- "1 0.0 6.5 ... 0.026316 0.015789 0.010526 0.021053 \n",
- "2 0.0 6.0 ... 0.007874 0.000000 0.007874 0.000000 \n",
- "3 0.0 6.5 ... 0.003717 0.003717 0.000000 0.011152 \n",
- "4 0.0 10.0 ... 0.000000 0.015625 0.015625 0.000000 \n",
- "5 0.0 7.5 ... 0.012295 0.004098 0.016393 0.000000 \n",
- ".. ... ... ... ... ... ... ... \n",
- "859 0.0 5.0 ... 0.024490 0.008163 0.016327 0.040816 \n",
- "860 0.0 5.5 ... 0.036145 0.012048 0.012048 0.000000 \n",
- "861 0.0 5.5 ... 0.045977 0.011494 0.000000 0.034483 \n",
- "862 0.0 6.0 ... 0.024390 0.008130 0.048780 0.008130 \n",
- "863 0.0 9.5 ... 0.022727 0.009091 0.040909 0.013636 \n",
+ " cards_malus fantavote ... miscontrols dispossessed fouls \\\n",
+ "1 0.0 6.5 ... 0.020161 0.012097 0.012097 \n",
+ "2 0.0 6.0 ... 0.007874 0.000000 0.007874 \n",
+ "3 0.0 6.5 ... 0.002786 0.002786 0.002786 \n",
+ "4 0.0 10.0 ... 0.000000 0.020833 0.031250 \n",
+ "5 0.0 7.5 ... 0.012384 0.003096 0.012384 \n",
+ "... ... ... ... ... ... ... \n",
+ "1154 0.5 5.5 ... 0.028846 0.009615 0.019231 \n",
+ "1155 0.5 5.5 ... 0.000000 0.000000 0.095238 \n",
+ "1156 0.0 6.0 ... 0.047297 0.006757 0.006757 \n",
+ "1157 0.0 5.5 ... 0.026316 0.006579 0.046053 \n",
+ "1158 0.0 5.5 ... 0.019355 0.012903 0.032258 \n",
"\n",
- " aerials_won aerials_lost carries progressive_carries \\\n",
- "1 0.005263 0.021053 0.394737 0.047368 \n",
- "2 0.019685 0.027559 0.350394 0.000000 \n",
- "3 0.011152 0.018587 0.457249 0.022305 \n",
- "4 0.000000 0.015625 0.515625 0.062500 \n",
- "5 0.004098 0.024590 0.434426 0.016393 \n",
- ".. ... ... ... ... \n",
- "859 0.016327 0.053061 0.204082 0.016327 \n",
- "860 0.012048 0.036145 0.204819 0.000000 \n",
- "861 0.000000 0.034483 0.344828 0.022989 \n",
- "862 0.130081 0.081301 0.178862 0.000000 \n",
- "863 0.013636 0.018182 0.227273 0.040909 \n",
+ " fouled aerials_won aerials_lost carries progressive_carries \\\n",
+ "1 0.016129 0.008065 0.016129 0.391129 0.040323 \n",
+ "2 0.000000 0.019685 0.027559 0.350394 0.000000 \n",
+ "3 0.011142 0.013928 0.022284 0.412256 0.019499 \n",
+ "4 0.000000 0.000000 0.010417 0.447917 0.062500 \n",
+ "5 0.006192 0.003096 0.027864 0.408669 0.015480 \n",
+ "... ... ... ... ... ... \n",
+ "1154 0.000000 0.009615 0.038462 0.182692 0.000000 \n",
+ "1155 0.047619 0.000000 0.000000 0.142857 0.000000 \n",
+ "1156 0.040541 0.013514 0.020270 0.324324 0.020270 \n",
+ "1157 0.006579 0.138158 0.092105 0.171053 0.000000 \n",
+ "1158 0.009677 0.012903 0.022581 0.206452 0.035484 \n",
"\n",
- " carries_into_final_third carries_into_penalty_area \n",
- "1 0.026316 0.015789 \n",
- "2 0.000000 0.000000 \n",
- "3 0.033457 0.003717 \n",
- "4 0.046875 0.015625 \n",
- "5 0.016393 0.004098 \n",
- ".. ... ... \n",
- "859 0.024490 0.000000 \n",
- "860 0.000000 0.000000 \n",
- "861 0.022989 0.011494 \n",
- "862 0.000000 0.000000 \n",
- "863 0.013636 0.018182 \n",
+ " carries_into_final_third carries_into_penalty_area \n",
+ "1 0.020161 0.012097 \n",
+ "2 0.000000 0.000000 \n",
+ "3 0.025070 0.002786 \n",
+ "4 0.041667 0.010417 \n",
+ "5 0.012384 0.003096 \n",
+ "... ... ... \n",
+ "1154 0.000000 0.000000 \n",
+ "1155 0.047619 0.000000 \n",
+ "1156 0.013514 0.013514 \n",
+ "1157 0.013158 0.000000 \n",
+ "1158 0.012903 0.016129 \n",
"\n",
- "[795 rows x 122 columns]"
+ "[1070 rows x 122 columns]"
]
},
- "execution_count": 29,
+ "execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
@@ -2946,7 +2949,7 @@
},
{
"cell_type": "code",
- "execution_count": 30,
+ "execution_count": 17,
"id": "df26c8e0",
"metadata": {},
"outputs": [],
@@ -2964,7 +2967,7 @@
},
{
"cell_type": "code",
- "execution_count": 31,
+ "execution_count": 18,
"id": "4d06576a",
"metadata": {},
"outputs": [
@@ -3104,7 +3107,7 @@
},
{
"cell_type": "code",
- "execution_count": 32,
+ "execution_count": 19,
"id": "01bb7413",
"metadata": {},
"outputs": [
@@ -3179,7 +3182,7 @@
" 'vs_team_aerials_won_pct']"
]
},
- "execution_count": 32,
+ "execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
@@ -3198,7 +3201,7 @@
},
{
"cell_type": "code",
- "execution_count": 33,
+ "execution_count": 20,
"id": "02f961d8",
"metadata": {},
"outputs": [],
@@ -3311,7 +3314,7 @@
},
{
"cell_type": "code",
- "execution_count": 34,
+ "execution_count": 21,
"id": "5e3694a0",
"metadata": {},
"outputs": [],
@@ -3335,7 +3338,7 @@
},
{
"cell_type": "code",
- "execution_count": 35,
+ "execution_count": 22,
"id": "9b671646",
"metadata": {},
"outputs": [
@@ -3438,7 +3441,7 @@
"[1 rows x 92 columns]"
]
},
- "execution_count": 35,
+ "execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
@@ -3453,7 +3456,7 @@
},
{
"cell_type": "code",
- "execution_count": 36,
+ "execution_count": 23,
"id": "33f805a9",
"metadata": {},
"outputs": [
@@ -3469,7 +3472,10 @@
"500\n",
"600\n",
"700\n",
- "800\n"
+ "800\n",
+ "900\n",
+ "1000\n",
+ "1100\n"
]
}
],
@@ -3499,7 +3505,7 @@
},
{
"cell_type": "code",
- "execution_count": 37,
+ "execution_count": 24,
"id": "4d484846",
"metadata": {},
"outputs": [
@@ -3693,40 +3699,16 @@
" ... \n",
" \n",
" \n",
- " 859 \n",
- " 3 \n",
- " Folorunsho \n",
- " Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.0 \n",
- " ... \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " \n",
- " \n",
- " 860 \n",
- " 3 \n",
+ " 1154 \n",
+ " 4 \n",
" Serdar \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.5 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
" 0 \n",
" 0 \n",
- " 0.0 \n",
+ " 0.5 \n",
" 5.5 \n",
" ... \n",
" NaN \n",
@@ -3741,17 +3723,41 @@
" NaN \n",
" \n",
" \n",
- " 861 \n",
- " 3 \n",
+ " 1155 \n",
+ " 4 \n",
+ " Suslov \n",
+ " Verona \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.5 \n",
+ " 5.5 \n",
+ " ... \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " \n",
+ " \n",
+ " 1156 \n",
+ " 4 \n",
" Bonazzoli \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.5 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
" 0 \n",
" 0 \n",
" 0.0 \n",
- " 5.5 \n",
+ " 6.0 \n",
" ... \n",
" NaN \n",
" NaN \n",
@@ -3765,17 +3771,17 @@
" NaN \n",
" \n",
" \n",
- " 862 \n",
- " 3 \n",
+ " 1157 \n",
+ " 4 \n",
" Djuric \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 6.0 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 5.5 \n",
" 0 \n",
" 0 \n",
" 0.0 \n",
- " 6.0 \n",
+ " 5.5 \n",
" ... \n",
" NaN \n",
" NaN \n",
@@ -3789,17 +3795,17 @@
" NaN \n",
" \n",
" \n",
- " 863 \n",
- " 3 \n",
+ " 1158 \n",
+ " 4 \n",
" Ngonge \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 6.5 \n",
+ " Bologna \n",
" 1 \n",
+ " 5.5 \n",
+ " 0 \n",
" 0 \n",
" 0.0 \n",
- " 9.5 \n",
+ " 5.5 \n",
" ... \n",
" NaN \n",
" NaN \n",
@@ -3814,66 +3820,79 @@
" \n",
" \n",
"\n",
- "864 rows × 102 columns
\n",
+ "1159 rows × 102 columns
\n",
""
],
"text/plain": [
- " matchday player team oppteam home vote goals assists \\\n",
- "0 1 Musso Atalanta Sassuolo 0 6.5 0 0 \n",
- "1 1 Zappacosta Atalanta Sassuolo 0 6.5 0 0 \n",
- "2 1 Djimsiti Atalanta Sassuolo 0 6.0 0 0 \n",
- "3 1 Kolasinac Atalanta Sassuolo 0 6.5 0 0 \n",
- "4 1 Zortea Atalanta Sassuolo 0 7.0 1 0 \n",
- ".. ... ... ... ... ... ... ... ... \n",
- "859 3 Folorunsho Verona Sassuolo 0 5.0 0 0 \n",
- "860 3 Serdar Verona Sassuolo 0 5.5 0 0 \n",
- "861 3 Bonazzoli Verona Sassuolo 0 5.5 0 0 \n",
- "862 3 Djuric Verona Sassuolo 0 6.0 0 0 \n",
- "863 3 Ngonge Verona Sassuolo 0 6.5 1 0 \n",
+ " matchday player team oppteam home vote goals assists \\\n",
+ "0 1 Musso Atalanta Sassuolo 0 6.5 0 0 \n",
+ "1 1 Zappacosta Atalanta Sassuolo 0 6.5 0 0 \n",
+ "2 1 Djimsiti Atalanta Sassuolo 0 6.0 0 0 \n",
+ "3 1 Kolasinac Atalanta Sassuolo 0 6.5 0 0 \n",
+ "4 1 Zortea Atalanta Sassuolo 0 7.0 1 0 \n",
+ "... ... ... ... ... ... ... ... ... \n",
+ "1154 4 Serdar Verona Bologna 1 6.0 0 0 \n",
+ "1155 4 Suslov Verona Bologna 1 6.0 0 0 \n",
+ "1156 4 Bonazzoli Verona Bologna 1 6.0 0 0 \n",
+ "1157 4 Djuric Verona Bologna 1 5.5 0 0 \n",
+ "1158 4 Ngonge Verona Bologna 1 5.5 0 0 \n",
"\n",
- " cards_malus fantavote ... gk_psxg gk_psnpxg_per_shot_on_target_against \\\n",
- "0 0.0 6.5 ... 2.1 0.21 \n",
- "1 0.0 6.5 ... NaN NaN \n",
- "2 0.0 6.0 ... NaN NaN \n",
- "3 0.0 6.5 ... NaN NaN \n",
- "4 0.0 10.0 ... NaN NaN \n",
- ".. ... ... ... ... ... \n",
- "859 0.0 5.0 ... NaN NaN \n",
- "860 0.0 5.5 ... NaN NaN \n",
- "861 0.0 5.5 ... NaN NaN \n",
- "862 0.0 6.0 ... NaN NaN \n",
- "863 0.0 9.5 ... NaN NaN \n",
+ " cards_malus fantavote ... gk_psxg \\\n",
+ "0 0.0 6.5 ... 2.1 \n",
+ "1 0.0 6.5 ... NaN \n",
+ "2 0.0 6.0 ... NaN \n",
+ "3 0.0 6.5 ... NaN \n",
+ "4 0.0 10.0 ... NaN \n",
+ "... ... ... ... ... \n",
+ "1154 0.5 5.5 ... NaN \n",
+ "1155 0.5 5.5 ... NaN \n",
+ "1156 0.0 6.0 ... NaN \n",
+ "1157 0.0 5.5 ... NaN \n",
+ "1158 0.0 5.5 ... NaN \n",
"\n",
- " gk_psxg_net gk_passes_completed_launched gk_passes_launched gk_passes \\\n",
- "0 0.1 11.0 34.0 88.0 \n",
- "1 NaN NaN NaN NaN \n",
- "2 NaN NaN NaN NaN \n",
- "3 NaN NaN NaN NaN \n",
- "4 NaN NaN NaN NaN \n",
- ".. ... ... ... ... \n",
- "859 NaN NaN NaN NaN \n",
- "860 NaN NaN NaN NaN \n",
- "861 NaN NaN NaN NaN \n",
- "862 NaN NaN NaN NaN \n",
- "863 NaN NaN NaN NaN \n",
+ " gk_psnpxg_per_shot_on_target_against gk_psxg_net \\\n",
+ "0 0.21 0.1 \n",
+ "1 NaN NaN \n",
+ "2 NaN NaN \n",
+ "3 NaN NaN \n",
+ "4 NaN NaN \n",
+ "... ... ... \n",
+ "1154 NaN NaN \n",
+ "1155 NaN NaN \n",
+ "1156 NaN NaN \n",
+ "1157 NaN NaN \n",
+ "1158 NaN NaN \n",
"\n",
- " gk_passes_throws gk_goal_kicks gk_crosses gk_crosses_stopped \n",
- "0 18.0 18.0 28.0 2.0 \n",
- "1 NaN NaN NaN NaN \n",
- "2 NaN NaN NaN NaN \n",
- "3 NaN NaN NaN NaN \n",
- "4 NaN NaN NaN NaN \n",
- ".. ... ... ... ... \n",
- "859 NaN NaN NaN NaN \n",
- "860 NaN NaN NaN NaN \n",
- "861 NaN NaN NaN NaN \n",
- "862 NaN NaN NaN NaN \n",
- "863 NaN NaN NaN NaN \n",
+ " gk_passes_completed_launched gk_passes_launched gk_passes \\\n",
+ "0 11.0 34.0 88.0 \n",
+ "1 NaN NaN NaN \n",
+ "2 NaN NaN NaN \n",
+ "3 NaN NaN NaN \n",
+ "4 NaN NaN NaN \n",
+ "... ... ... ... \n",
+ "1154 NaN NaN NaN \n",
+ "1155 NaN NaN NaN \n",
+ "1156 NaN NaN NaN \n",
+ "1157 NaN NaN NaN \n",
+ "1158 NaN NaN NaN \n",
"\n",
- "[864 rows x 102 columns]"
+ " gk_passes_throws gk_goal_kicks gk_crosses gk_crosses_stopped \n",
+ "0 18.0 18.0 28.0 2.0 \n",
+ "1 NaN NaN NaN NaN \n",
+ "2 NaN NaN NaN NaN \n",
+ "3 NaN NaN NaN NaN \n",
+ "4 NaN NaN NaN NaN \n",
+ "... ... ... ... ... \n",
+ "1154 NaN NaN NaN NaN \n",
+ "1155 NaN NaN NaN NaN \n",
+ "1156 NaN NaN NaN NaN \n",
+ "1157 NaN NaN NaN NaN \n",
+ "1158 NaN NaN NaN NaN \n",
+ "\n",
+ "[1159 rows x 102 columns]"
]
},
- "execution_count": 37,
+ "execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
@@ -3884,7 +3903,7 @@
},
{
"cell_type": "code",
- "execution_count": 38,
+ "execution_count": 25,
"id": "adab3577",
"metadata": {},
"outputs": [],
@@ -3894,7 +3913,7 @@
},
{
"cell_type": "code",
- "execution_count": 39,
+ "execution_count": 26,
"id": "e7ae792d",
"metadata": {},
"outputs": [
@@ -3980,15 +3999,15 @@
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- " -1 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.5 \n",
- " ... \n",
- " 3.7 \n",
- " 0.19 \n",
- " -1.3 \n",
- " 13.0 \n",
- " 52.0 \n",
- " 70.0 \n",
- " 12.0 \n",
- " 31.0 \n",
- " 51.0 \n",
- " 3.0 \n",
- " \n",
- " \n",
- " 513 \n",
- " 2 \n",
- " Consigli \n",
- " Sassuolo \n",
- " Napoli \n",
- " 0 \n",
- " 6.0 \n",
- " -2 \n",
- " 0 \n",
- " 0.0 \n",
- " 4.0 \n",
- " ... \n",
- " 3.3 \n",
- " 0.19 \n",
- " -1.7 \n",
- " 11.0 \n",
- " 46.0 \n",
- " 95.0 \n",
- " 10.0 \n",
- " 34.0 \n",
- " 46.0 \n",
- " 2.0 \n",
- " \n",
- " \n",
- " 529 \n",
- " 2 \n",
- " Milinkovic-Savic V. \n",
- " Torino \n",
- " Milan \n",
- " 0 \n",
- " 5.5 \n",
" -4 \n",
" 0 \n",
- " 0.5 \n",
- " 1.0 \n",
+ " 0.0 \n",
+ " 2.5 \n",
" ... \n",
- " 3.9 \n",
- " 0.17 \n",
- " -0.1 \n",
+ " 2.8 \n",
+ " 0.30 \n",
+ " -1.2 \n",
+ " 5.0 \n",
" 15.0 \n",
- " 47.0 \n",
- " 85.0 \n",
- " 19.0 \n",
- " 29.0 \n",
- " 23.0 \n",
+ " 24.0 \n",
+ " 3.0 \n",
+ " 9.0 \n",
+ " 9.0 \n",
" 0.0 \n",
" \n",
" \n",
- " 544 \n",
- " 2 \n",
+ " 1117 \n",
+ " 4 \n",
+ " Milinkovic-Savic V. \n",
+ " Torino \n",
+ " Salernitana \n",
+ " 0 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 6.0 \n",
+ " ... \n",
+ " 4.6 \n",
+ " 0.18 \n",
+ " 0.6 \n",
+ " 29.0 \n",
+ " 79.0 \n",
+ " 117.0 \n",
+ " 23.0 \n",
+ " 36.0 \n",
+ " 33.0 \n",
+ " 3.0 \n",
+ " \n",
+ " \n",
+ " 1129 \n",
+ " 4 \n",
" Silvestri \n",
" Udinese \n",
- " Salernitana \n",
- " 0 \n",
- " 5.5 \n",
- " -1 \n",
- " 0 \n",
- " 0.0 \n",
- " 4.5 \n",
- " ... \n",
- " 3.8 \n",
- " 0.31 \n",
- " -0.2 \n",
- " 11.0 \n",
- " 31.0 \n",
- " 70.0 \n",
- " 10.0 \n",
- " 21.0 \n",
- " 33.0 \n",
- " 0.0 \n",
- " \n",
- " \n",
- " 557 \n",
- " 2 \n",
- " Montipo' \n",
- " Verona \n",
- " Roma \n",
- " 1 \n",
- " 6.0 \n",
- " -1 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.0 \n",
- " ... \n",
- " 4.3 \n",
- " 0.20 \n",
- " 0.3 \n",
- " 27.0 \n",
- " 72.0 \n",
- " 84.0 \n",
- " 7.0 \n",
- " 28.0 \n",
- " 44.0 \n",
- " 1.0 \n",
- " \n",
- " \n",
- " 571 \n",
- " 3 \n",
- " Musso \n",
- " Atalanta \n",
- " Monza \n",
- " 1 \n",
- " 6.5 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 6.5 \n",
- " ... \n",
- " 2.1 \n",
- " 0.21 \n",
- " 0.1 \n",
- " 11.0 \n",
- " 34.0 \n",
- " 88.0 \n",
- " 18.0 \n",
- " 18.0 \n",
- " 28.0 \n",
- " 2.0 \n",
- " \n",
- " \n",
- " 584 \n",
- " 3 \n",
- " Skorupski \n",
- " Bologna \n",
" Cagliari \n",
- " 1 \n",
- " 6.0 \n",
- " -1 \n",
" 0 \n",
- " 0.0 \n",
- " 5.0 \n",
- " ... \n",
- " 3.0 \n",
- " 0.33 \n",
- " -1.0 \n",
- " 11.0 \n",
- " 31.0 \n",
- " 63.0 \n",
- " 14.0 \n",
- " 19.0 \n",
- " 45.0 \n",
- " 2.0 \n",
- " \n",
- " \n",
- " 598 \n",
- " 3 \n",
- " Radunovic \n",
- " Cagliari \n",
- " Bologna \n",
- " 0 \n",
- " 4.5 \n",
- " -2 \n",
- " 0 \n",
- " 0.0 \n",
- " 2.5 \n",
- " ... \n",
- " 4.0 \n",
- " 0.34 \n",
- " 0.0 \n",
- " 16.0 \n",
- " 41.0 \n",
- " 53.0 \n",
- " 14.0 \n",
- " 28.0 \n",
- " 49.0 \n",
- " 2.0 \n",
- " \n",
- " \n",
- " 614 \n",
- " 3 \n",
- " Berisha \n",
- " Empoli \n",
- " Juventus \n",
- " 1 \n",
- " 6.5 \n",
- " -2 \n",
- " 0 \n",
- " 0.0 \n",
- " 4.5 \n",
- " ... \n",
- " 1.8 \n",
- " 0.18 \n",
- " -0.2 \n",
- " 2.0 \n",
- " 12.0 \n",
- " 32.0 \n",
- " 8.0 \n",
- " 7.0 \n",
- " 17.0 \n",
- " 0.0 \n",
- " \n",
- " \n",
- " 629 \n",
- " 3 \n",
- " Christensen O. \n",
- " Fiorentina \n",
- " Inter \n",
- " 0 \n",
- " 5.5 \n",
- " -4 \n",
- " 0 \n",
- " 0.0 \n",
- " 1.5 \n",
- " ... \n",
- " 3.2 \n",
- " 0.18 \n",
- " -2.8 \n",
- " 14.0 \n",
- " 31.0 \n",
- " 78.0 \n",
- " 7.0 \n",
- " 8.0 \n",
- " 15.0 \n",
- " 0.0 \n",
- " \n",
- " \n",
- " 645 \n",
- " 3 \n",
- " Turati \n",
- " Frosinone \n",
- " Udinese \n",
- " 0 \n",
- " 6.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 6.0 \n",
- " ... \n",
- " 3.6 \n",
- " 0.26 \n",
- " 0.6 \n",
- " 5.0 \n",
- " 19.0 \n",
- " 61.0 \n",
- " 17.0 \n",
- " 10.0 \n",
- " 25.0 \n",
- " 2.0 \n",
- " \n",
- " \n",
- " 657 \n",
- " 3 \n",
- " Martinez Jo. \n",
- " Genoa \n",
- " Torino \n",
- " 0 \n",
- " 6.0 \n",
- " -1 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.0 \n",
- " ... \n",
- " 2.6 \n",
- " 0.27 \n",
- " -2.4 \n",
- " 27.0 \n",
- " 55.0 \n",
- " 94.0 \n",
- " 9.0 \n",
- " 14.0 \n",
- " 64.0 \n",
- " 8.0 \n",
- " \n",
- " \n",
- " 672 \n",
- " 3 \n",
- " Sommer \n",
- " Inter \n",
- " Fiorentina \n",
- " 1 \n",
- " 6.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 6.0 \n",
- " ... \n",
- " 1.2 \n",
- " 0.21 \n",
- " 1.2 \n",
- " 19.0 \n",
- " 32.0 \n",
- " 81.0 \n",
- " 12.0 \n",
- " 21.0 \n",
- " 35.0 \n",
- " 1.0 \n",
- " \n",
- " \n",
- " 687 \n",
- " 3 \n",
- " Perin \n",
- " Juventus \n",
- " Empoli \n",
- " 0 \n",
- " 6.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 6.0 \n",
- " ... \n",
- " 1.2 \n",
- " 0.30 \n",
- " 0.2 \n",
- " 5.0 \n",
- " 13.0 \n",
- " 42.0 \n",
- " 9.0 \n",
- " 11.0 \n",
- " 26.0 \n",
- " 2.0 \n",
- " \n",
- " \n",
- " 701 \n",
- " 3 \n",
- " Provedel \n",
- " Lazio \n",
- " Napoli \n",
- " 0 \n",
- " 6.5 \n",
- " -1 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.5 \n",
- " ... \n",
- " 2.5 \n",
- " 0.18 \n",
- " -1.5 \n",
- " 6.0 \n",
- " 16.0 \n",
- " 89.0 \n",
- " 11.0 \n",
- " 11.0 \n",
- " 39.0 \n",
- " 2.0 \n",
- " \n",
- " \n",
- " 715 \n",
- " 3 \n",
- " Falcone \n",
- " Lecce \n",
- " Salernitana \n",
- " 1 \n",
- " 6.5 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 6.5 \n",
- " ... \n",
- " 3.0 \n",
- " 0.25 \n",
- " 0.0 \n",
- " 17.0 \n",
- " 43.0 \n",
- " 57.0 \n",
- " 14.0 \n",
- " 24.0 \n",
- " 32.0 \n",
- " 2.0 \n",
- " \n",
- " \n",
- " 731 \n",
- " 3 \n",
- " Maignan \n",
- " Milan \n",
- " Roma \n",
- " 0 \n",
- " 6.0 \n",
- " -1 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.0 \n",
- " ... \n",
- " 0.6 \n",
- " 0.08 \n",
- " -1.4 \n",
- " 20.0 \n",
- " 57.0 \n",
- " 170.0 \n",
- " 23.0 \n",
- " 20.0 \n",
- " 43.0 \n",
- " 12.0 \n",
- " \n",
- " \n",
- " 746 \n",
- " 3 \n",
- " Di Gregorio \n",
- " Monza \n",
- " Atalanta \n",
- " 0 \n",
- " 6.0 \n",
- " -3 \n",
- " 0 \n",
- " 0.0 \n",
- " 3.0 \n",
- " ... \n",
- " 4.2 \n",
- " 0.25 \n",
- " -0.8 \n",
- " 7.0 \n",
- " 32.0 \n",
- " 111.0 \n",
- " 16.0 \n",
- " 22.0 \n",
- " 45.0 \n",
- " 2.0 \n",
- " \n",
- " \n",
- " 762 \n",
- " 3 \n",
- " Meret \n",
- " Napoli \n",
- " Lazio \n",
- " 1 \n",
- " 5.5 \n",
- " -2 \n",
- " 0 \n",
- " 0.0 \n",
- " 3.5 \n",
- " ... \n",
- " 2.2 \n",
- " 0.31 \n",
- " -0.8 \n",
- " 3.0 \n",
- " 10.0 \n",
- " 78.0 \n",
- " 7.0 \n",
- " 8.0 \n",
- " 15.0 \n",
- " 1.0 \n",
- " \n",
- " \n",
- " 776 \n",
- " 3 \n",
- " Rui Patricio \n",
- " Roma \n",
- " Milan \n",
- " 1 \n",
- " 6.0 \n",
- " -2 \n",
- " 0 \n",
- " 0.0 \n",
- " 4.0 \n",
- " ... \n",
- " 3.6 \n",
- " 0.30 \n",
- " -2.4 \n",
- " 6.0 \n",
- " 13.0 \n",
- " 47.0 \n",
- " 6.0 \n",
- " 12.0 \n",
- " 15.0 \n",
- " 0.0 \n",
- " \n",
- " \n",
- " 791 \n",
- " 3 \n",
- " Ochoa \n",
- " Salernitana \n",
- " Lecce \n",
- " 0 \n",
- " 6.5 \n",
- " -2 \n",
- " 0 \n",
- " 0.0 \n",
- " 4.5 \n",
- " ... \n",
- " 3.7 \n",
- " 0.19 \n",
- " -1.3 \n",
- " 13.0 \n",
- " 52.0 \n",
- " 70.0 \n",
- " 12.0 \n",
- " 31.0 \n",
- " 51.0 \n",
- " 3.0 \n",
- " \n",
- " \n",
- " 806 \n",
- " 3 \n",
- " Consigli \n",
- " Sassuolo \n",
- " Verona \n",
- " 1 \n",
- " 5.5 \n",
- " -1 \n",
- " 0 \n",
- " 0.0 \n",
- " 4.5 \n",
- " ... \n",
- " 3.3 \n",
- " 0.19 \n",
- " -1.7 \n",
- " 11.0 \n",
- " 46.0 \n",
- " 95.0 \n",
- " 10.0 \n",
- " 34.0 \n",
- " 46.0 \n",
- " 2.0 \n",
- " \n",
- " \n",
- " 821 \n",
- " 3 \n",
- " Milinkovic-Savic V. \n",
- " Torino \n",
- " Genoa \n",
- " 1 \n",
" 6.0 \n",
" 0 \n",
" 0 \n",
@@ -5325,384 +4192,115 @@
" 6.0 \n",
" ... \n",
" 3.9 \n",
- " 0.17 \n",
+ " 0.29 \n",
" -0.1 \n",
- " 15.0 \n",
- " 47.0 \n",
- " 85.0 \n",
- " 19.0 \n",
- " 29.0 \n",
- " 23.0 \n",
- " 0.0 \n",
- " \n",
- " \n",
- " 836 \n",
- " 3 \n",
- " Silvestri \n",
- " Udinese \n",
- " Frosinone \n",
- " 1 \n",
- " 6.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 6.0 \n",
- " ... \n",
- " 3.8 \n",
- " 0.31 \n",
- " -0.2 \n",
" 11.0 \n",
- " 31.0 \n",
- " 70.0 \n",
- " 10.0 \n",
- " 21.0 \n",
- " 33.0 \n",
+ " 34.0 \n",
+ " 94.0 \n",
+ " 14.0 \n",
+ " 32.0 \n",
+ " 49.0 \n",
" 0.0 \n",
" \n",
" \n",
- " 850 \n",
- " 3 \n",
+ " 1143 \n",
+ " 4 \n",
" Montipo' \n",
" Verona \n",
- " Sassuolo \n",
+ " Bologna \n",
+ " 1 \n",
+ " 7.0 \n",
" 0 \n",
- " 6.5 \n",
- " -3 \n",
" 0 \n",
" 0.0 \n",
- " 3.5 \n",
- " ... \n",
- " 4.3 \n",
- " 0.20 \n",
- " 0.3 \n",
- " 27.0 \n",
- " 72.0 \n",
- " 84.0 \n",
" 7.0 \n",
- " 28.0 \n",
- " 44.0 \n",
+ " ... \n",
+ " 4.9 \n",
+ " 0.19 \n",
+ " 0.9 \n",
+ " 35.0 \n",
+ " 93.0 \n",
+ " 109.0 \n",
+ " 8.0 \n",
+ " 35.0 \n",
+ " 54.0 \n",
" 1.0 \n",
" \n",
" \n",
"\n",
- "60 rows × 102 columns
\n",
+ "80 rows × 102 columns
\n",
""
],
"text/plain": [
- " matchday player team oppteam home vote \\\n",
- "0 1 Musso Atalanta Sassuolo 0 6.5 \n",
- "16 1 Skorupski Bologna Milan 1 6.0 \n",
- "29 1 Radunovic Cagliari Torino 0 6.5 \n",
- "44 1 Caprile Empoli Verona 1 5.0 \n",
- "57 1 Terracciano Fiorentina Genoa 0 6.0 \n",
- "69 1 Turati Frosinone Napoli 1 5.5 \n",
- "84 1 Martinez Jo. Genoa Fiorentina 1 6.0 \n",
- "98 1 Sommer Inter Monza 1 6.0 \n",
- "112 1 Szczesny Juventus Udinese 0 7.0 \n",
- "127 1 Provedel Lazio Lecce 0 6.0 \n",
- "142 1 Falcone Lecce Lazio 1 7.0 \n",
- "158 1 Maignan Milan Bologna 0 6.0 \n",
- "173 1 Di Gregorio Monza Inter 0 6.0 \n",
- "188 1 Meret Napoli Frosinone 0 6.0 \n",
- "202 1 Rui Patricio Roma Salernitana 1 6.0 \n",
- "217 1 Ochoa Salernitana Roma 0 6.5 \n",
- "229 1 Consigli Sassuolo Atalanta 1 6.0 \n",
- "242 1 Milinkovic-Savic V. Torino Cagliari 1 6.5 \n",
- "257 1 Silvestri Udinese Juventus 1 5.0 \n",
- "273 1 Montipo' Verona Empoli 0 6.5 \n",
- "287 2 Musso Atalanta Frosinone 0 6.0 \n",
- "302 2 Skorupski Bologna Juventus 0 6.5 \n",
- "316 2 Radunovic Cagliari Inter 1 6.0 \n",
- "330 2 Perisan Empoli Monza 0 5.0 \n",
- "346 2 Christensen O. Fiorentina Lecce 1 6.0 \n",
- "360 2 Cerofolini Frosinone Atalanta 1 6.5 \n",
- "373 2 Martinez Jo. Genoa Lazio 0 6.0 \n",
- "387 2 Sommer Inter Cagliari 0 6.0 \n",
- "402 2 Perin Juventus Bologna 1 6.0 \n",
- "416 2 Provedel Lazio Genoa 1 6.0 \n",
- "430 2 Falcone Lecce Fiorentina 0 6.0 \n",
- "444 2 Maignan Milan Torino 1 6.0 \n",
- "458 2 Di Gregorio Monza Empoli 1 7.5 \n",
- "471 2 Meret Napoli Sassuolo 1 6.0 \n",
- "483 2 Rui Patricio Roma Verona 0 5.0 \n",
- "499 2 Ochoa Salernitana Udinese 1 6.5 \n",
- "513 2 Consigli Sassuolo Napoli 0 6.0 \n",
- "529 2 Milinkovic-Savic V. Torino Milan 0 5.5 \n",
- "544 2 Silvestri Udinese Salernitana 0 5.5 \n",
- "557 2 Montipo' Verona Roma 1 6.0 \n",
- "571 3 Musso Atalanta Monza 1 6.5 \n",
- "584 3 Skorupski Bologna Cagliari 1 6.0 \n",
- "598 3 Radunovic Cagliari Bologna 0 4.5 \n",
- "614 3 Berisha Empoli Juventus 1 6.5 \n",
- "629 3 Christensen O. Fiorentina Inter 0 5.5 \n",
- "645 3 Turati Frosinone Udinese 0 6.0 \n",
- "657 3 Martinez Jo. Genoa Torino 0 6.0 \n",
- "672 3 Sommer Inter Fiorentina 1 6.0 \n",
- "687 3 Perin Juventus Empoli 0 6.0 \n",
- "701 3 Provedel Lazio Napoli 0 6.5 \n",
- "715 3 Falcone Lecce Salernitana 1 6.5 \n",
- "731 3 Maignan Milan Roma 0 6.0 \n",
- "746 3 Di Gregorio Monza Atalanta 0 6.0 \n",
- "762 3 Meret Napoli Lazio 1 5.5 \n",
- "776 3 Rui Patricio Roma Milan 1 6.0 \n",
- "791 3 Ochoa Salernitana Lecce 0 6.5 \n",
- "806 3 Consigli Sassuolo Verona 1 5.5 \n",
- "821 3 Milinkovic-Savic V. Torino Genoa 1 6.0 \n",
- "836 3 Silvestri Udinese Frosinone 1 6.0 \n",
- "850 3 Montipo' Verona Sassuolo 0 6.5 \n",
+ " matchday player team oppteam home vote \\\n",
+ "0 1 Musso Atalanta Sassuolo 0 6.5 \n",
+ "16 1 Skorupski Bologna Milan 1 6.0 \n",
+ "29 1 Radunovic Cagliari Torino 0 6.5 \n",
+ "44 1 Caprile Empoli Verona 1 5.0 \n",
+ "57 1 Terracciano Fiorentina Genoa 0 6.0 \n",
+ "... ... ... ... ... ... ... \n",
+ "1085 4 Ochoa Salernitana Torino 1 5.0 \n",
+ "1101 4 Cragno Sassuolo Frosinone 0 6.5 \n",
+ "1117 4 Milinkovic-Savic V. Torino Salernitana 0 6.0 \n",
+ "1129 4 Silvestri Udinese Cagliari 0 6.0 \n",
+ "1143 4 Montipo' Verona Bologna 1 7.0 \n",
"\n",
- " goals assists cards_malus fantavote ... gk_psxg \\\n",
- "0 0 0 0.0 6.5 ... 2.1 \n",
- "16 -2 0 0.0 4.0 ... 3.0 \n",
- "29 0 0 0.0 6.5 ... 4.0 \n",
- "44 -1 0 0.0 4.0 ... 0.4 \n",
- "57 -1 0 0.0 5.0 ... 0.3 \n",
- "69 -3 0 0.0 2.5 ... 3.6 \n",
- "84 -4 0 0.0 2.0 ... 2.6 \n",
- "98 0 0 0.0 6.0 ... 1.2 \n",
- "112 0 0 0.0 7.0 ... 1.4 \n",
- "127 -2 0 0.0 4.0 ... 2.5 \n",
- "142 -1 0 0.0 6.0 ... 3.0 \n",
- "158 0 0 0.0 6.0 ... 0.6 \n",
- "173 -2 0 0.0 4.0 ... 4.2 \n",
- "188 -1 0 0.0 5.0 ... 2.2 \n",
- "202 -2 0 0.0 4.0 ... 3.6 \n",
- "217 -2 0 0.0 4.5 ... 3.7 \n",
- "229 -2 0 0.0 4.0 ... 3.3 \n",
- "242 0 0 0.0 6.5 ... 3.9 \n",
- "257 -3 0 0.0 2.0 ... 3.8 \n",
- "273 0 0 0.0 6.5 ... 4.3 \n",
- "287 -2 0 0.0 4.0 ... 2.1 \n",
- "302 -1 0 0.0 5.5 ... 3.0 \n",
- "316 -2 0 0.0 4.0 ... 4.0 \n",
- "330 -2 0 0.0 3.0 ... 0.7 \n",
- "346 -2 0 0.0 4.0 ... 3.2 \n",
- "360 -1 0 0.0 5.5 ... 1.0 \n",
- "373 0 0 0.0 6.0 ... 2.6 \n",
- "387 0 0 0.0 6.0 ... 1.2 \n",
- "402 -1 0 0.0 5.0 ... 1.2 \n",
- "416 -1 0 0.0 5.0 ... 2.5 \n",
- "430 -2 0 0.0 4.0 ... 3.0 \n",
- "444 -1 0 0.0 5.0 ... 0.6 \n",
- "458 0 0 0.0 7.5 ... 4.2 \n",
- "471 0 0 0.0 6.0 ... 2.2 \n",
- "483 -2 0 0.0 3.0 ... 3.6 \n",
- "499 -1 0 0.0 5.5 ... 3.7 \n",
- "513 -2 0 0.0 4.0 ... 3.3 \n",
- "529 -4 0 0.5 1.0 ... 3.9 \n",
- "544 -1 0 0.0 4.5 ... 3.8 \n",
- "557 -1 0 0.0 5.0 ... 4.3 \n",
- "571 0 0 0.0 6.5 ... 2.1 \n",
- "584 -1 0 0.0 5.0 ... 3.0 \n",
- "598 -2 0 0.0 2.5 ... 4.0 \n",
- "614 -2 0 0.0 4.5 ... 1.8 \n",
- "629 -4 0 0.0 1.5 ... 3.2 \n",
- "645 0 0 0.0 6.0 ... 3.6 \n",
- "657 -1 0 0.0 5.0 ... 2.6 \n",
- "672 0 0 0.0 6.0 ... 1.2 \n",
- "687 0 0 0.0 6.0 ... 1.2 \n",
- "701 -1 0 0.0 5.5 ... 2.5 \n",
- "715 0 0 0.0 6.5 ... 3.0 \n",
- "731 -1 0 0.0 5.0 ... 0.6 \n",
- "746 -3 0 0.0 3.0 ... 4.2 \n",
- "762 -2 0 0.0 3.5 ... 2.2 \n",
- "776 -2 0 0.0 4.0 ... 3.6 \n",
- "791 -2 0 0.0 4.5 ... 3.7 \n",
- "806 -1 0 0.0 4.5 ... 3.3 \n",
- "821 0 0 0.0 6.0 ... 3.9 \n",
- "836 0 0 0.0 6.0 ... 3.8 \n",
- "850 -3 0 0.0 3.5 ... 4.3 \n",
+ " goals assists cards_malus fantavote ... gk_psxg \\\n",
+ "0 0 0 0.0 6.5 ... 2.1 \n",
+ "16 -2 0 0.0 4.0 ... 3.2 \n",
+ "29 0 0 0.0 6.5 ... 4.1 \n",
+ "44 -1 0 0.0 4.0 ... 0.4 \n",
+ "57 -1 0 0.0 5.0 ... 1.0 \n",
+ "... ... ... ... ... ... ... \n",
+ "1085 -3 0 0.0 2.0 ... 4.7 \n",
+ "1101 -4 0 0.0 2.5 ... 2.8 \n",
+ "1117 0 0 0.0 6.0 ... 4.6 \n",
+ "1129 0 0 0.0 6.0 ... 3.9 \n",
+ "1143 0 0 0.0 7.0 ... 4.9 \n",
"\n",
- " gk_psnpxg_per_shot_on_target_against gk_psxg_net \\\n",
- "0 0.21 0.1 \n",
- "16 0.33 -1.0 \n",
- "29 0.34 0.0 \n",
- "44 0.11 -0.6 \n",
- "57 0.13 -0.7 \n",
- "69 0.26 0.6 \n",
- "84 0.27 -2.4 \n",
- "98 0.21 1.2 \n",
- "112 0.30 1.4 \n",
- "127 0.18 -1.5 \n",
- "142 0.25 0.0 \n",
- "158 0.08 -1.4 \n",
- "173 0.25 -0.8 \n",
- "188 0.31 -0.8 \n",
- "202 0.30 -2.4 \n",
- "217 0.19 -1.3 \n",
- "229 0.19 -1.7 \n",
- "242 0.17 -0.1 \n",
- "257 0.31 -0.2 \n",
- "273 0.20 0.3 \n",
- "287 0.21 0.1 \n",
- "302 0.33 -1.0 \n",
- "316 0.34 0.0 \n",
- "330 0.14 -1.3 \n",
- "346 0.18 -2.8 \n",
- "360 0.16 0.0 \n",
- "373 0.27 -2.4 \n",
- "387 0.21 1.2 \n",
- "402 0.30 0.2 \n",
- "416 0.18 -1.5 \n",
- "430 0.25 0.0 \n",
- "444 0.08 -1.4 \n",
- "458 0.25 -0.8 \n",
- "471 0.31 -0.8 \n",
- "483 0.30 -2.4 \n",
- "499 0.19 -1.3 \n",
- "513 0.19 -1.7 \n",
- "529 0.17 -0.1 \n",
- "544 0.31 -0.2 \n",
- "557 0.20 0.3 \n",
- "571 0.21 0.1 \n",
- "584 0.33 -1.0 \n",
- "598 0.34 0.0 \n",
- "614 0.18 -0.2 \n",
- "629 0.18 -2.8 \n",
- "645 0.26 0.6 \n",
- "657 0.27 -2.4 \n",
- "672 0.21 1.2 \n",
- "687 0.30 0.2 \n",
- "701 0.18 -1.5 \n",
- "715 0.25 0.0 \n",
- "731 0.08 -1.4 \n",
- "746 0.25 -0.8 \n",
- "762 0.31 -0.8 \n",
- "776 0.30 -2.4 \n",
- "791 0.19 -1.3 \n",
- "806 0.19 -1.7 \n",
- "821 0.17 -0.1 \n",
- "836 0.31 -0.2 \n",
- "850 0.20 0.3 \n",
+ " gk_psnpxg_per_shot_on_target_against gk_psxg_net \\\n",
+ "0 0.21 0.1 \n",
+ "16 0.32 -0.8 \n",
+ "29 0.33 0.1 \n",
+ "44 0.11 -0.6 \n",
+ "57 0.17 -2.0 \n",
+ "... ... ... \n",
+ "1085 0.21 -3.3 \n",
+ "1101 0.30 -1.2 \n",
+ "1117 0.18 0.6 \n",
+ "1129 0.29 -0.1 \n",
+ "1143 0.19 0.9 \n",
"\n",
- " gk_passes_completed_launched gk_passes_launched gk_passes \\\n",
- "0 11.0 34.0 88.0 \n",
- "16 11.0 31.0 63.0 \n",
- "29 16.0 41.0 53.0 \n",
- "44 4.0 20.0 37.0 \n",
- "57 3.0 5.0 47.0 \n",
- "69 5.0 19.0 61.0 \n",
- "84 27.0 55.0 94.0 \n",
- "98 19.0 32.0 81.0 \n",
- "112 5.0 14.0 34.0 \n",
- "127 6.0 16.0 89.0 \n",
- "142 17.0 43.0 57.0 \n",
- "158 20.0 57.0 170.0 \n",
- "173 7.0 32.0 111.0 \n",
- "188 3.0 10.0 78.0 \n",
- "202 6.0 13.0 47.0 \n",
- "217 13.0 52.0 70.0 \n",
- "229 11.0 46.0 95.0 \n",
- "242 15.0 47.0 85.0 \n",
- "257 11.0 31.0 70.0 \n",
- "273 27.0 72.0 84.0 \n",
- "287 11.0 34.0 88.0 \n",
- "302 11.0 31.0 63.0 \n",
- "316 16.0 41.0 53.0 \n",
- "330 1.0 8.0 22.0 \n",
- "346 14.0 31.0 78.0 \n",
- "360 2.0 18.0 27.0 \n",
- "373 27.0 55.0 94.0 \n",
- "387 19.0 32.0 81.0 \n",
- "402 5.0 13.0 42.0 \n",
- "416 6.0 16.0 89.0 \n",
- "430 17.0 43.0 57.0 \n",
- "444 20.0 57.0 170.0 \n",
- "458 7.0 32.0 111.0 \n",
- "471 3.0 10.0 78.0 \n",
- "483 6.0 13.0 47.0 \n",
- "499 13.0 52.0 70.0 \n",
- "513 11.0 46.0 95.0 \n",
- "529 15.0 47.0 85.0 \n",
- "544 11.0 31.0 70.0 \n",
- "557 27.0 72.0 84.0 \n",
- "571 11.0 34.0 88.0 \n",
- "584 11.0 31.0 63.0 \n",
- "598 16.0 41.0 53.0 \n",
- "614 2.0 12.0 32.0 \n",
- "629 14.0 31.0 78.0 \n",
- "645 5.0 19.0 61.0 \n",
- "657 27.0 55.0 94.0 \n",
- "672 19.0 32.0 81.0 \n",
- "687 5.0 13.0 42.0 \n",
- "701 6.0 16.0 89.0 \n",
- "715 17.0 43.0 57.0 \n",
- "731 20.0 57.0 170.0 \n",
- "746 7.0 32.0 111.0 \n",
- "762 3.0 10.0 78.0 \n",
- "776 6.0 13.0 47.0 \n",
- "791 13.0 52.0 70.0 \n",
- "806 11.0 46.0 95.0 \n",
- "821 15.0 47.0 85.0 \n",
- "836 11.0 31.0 70.0 \n",
- "850 27.0 72.0 84.0 \n",
+ " gk_passes_completed_launched gk_passes_launched gk_passes \\\n",
+ "0 11.0 34.0 88.0 \n",
+ "16 17.0 45.0 106.0 \n",
+ "29 24.0 54.0 76.0 \n",
+ "44 4.0 20.0 37.0 \n",
+ "57 13.0 20.0 85.0 \n",
+ "... ... ... ... \n",
+ "1085 13.0 55.0 89.0 \n",
+ "1101 5.0 15.0 24.0 \n",
+ "1117 29.0 79.0 117.0 \n",
+ "1129 11.0 34.0 94.0 \n",
+ "1143 35.0 93.0 109.0 \n",
"\n",
- " gk_passes_throws gk_goal_kicks gk_crosses gk_crosses_stopped \n",
- "0 18.0 18.0 28.0 2.0 \n",
- "16 14.0 19.0 45.0 2.0 \n",
- "29 14.0 28.0 49.0 2.0 \n",
- "44 9.0 4.0 10.0 2.0 \n",
- "57 3.0 4.0 11.0 0.0 \n",
- "69 17.0 10.0 25.0 2.0 \n",
- "84 9.0 14.0 64.0 8.0 \n",
- "98 12.0 21.0 35.0 1.0 \n",
- "112 6.0 3.0 16.0 1.0 \n",
- "127 11.0 11.0 39.0 2.0 \n",
- "142 14.0 24.0 32.0 2.0 \n",
- "158 23.0 20.0 43.0 12.0 \n",
- "173 16.0 22.0 45.0 2.0 \n",
- "188 7.0 8.0 15.0 1.0 \n",
- "202 6.0 12.0 15.0 0.0 \n",
- "217 12.0 31.0 51.0 3.0 \n",
- "229 10.0 34.0 46.0 2.0 \n",
- "242 19.0 29.0 23.0 0.0 \n",
- "257 10.0 21.0 33.0 0.0 \n",
- "273 7.0 28.0 44.0 1.0 \n",
- "287 18.0 18.0 28.0 2.0 \n",
- "302 14.0 19.0 45.0 2.0 \n",
- "316 14.0 28.0 49.0 2.0 \n",
- "330 8.0 12.0 18.0 0.0 \n",
- "346 7.0 8.0 15.0 0.0 \n",
- "360 2.0 5.0 18.0 0.0 \n",
- "373 9.0 14.0 64.0 8.0 \n",
- "387 12.0 21.0 35.0 1.0 \n",
- "402 9.0 11.0 26.0 2.0 \n",
- "416 11.0 11.0 39.0 2.0 \n",
- "430 14.0 24.0 32.0 2.0 \n",
- "444 23.0 20.0 43.0 12.0 \n",
- "458 16.0 22.0 45.0 2.0 \n",
- "471 7.0 8.0 15.0 1.0 \n",
- "483 6.0 12.0 15.0 0.0 \n",
- "499 12.0 31.0 51.0 3.0 \n",
- "513 10.0 34.0 46.0 2.0 \n",
- "529 19.0 29.0 23.0 0.0 \n",
- "544 10.0 21.0 33.0 0.0 \n",
- "557 7.0 28.0 44.0 1.0 \n",
- "571 18.0 18.0 28.0 2.0 \n",
- "584 14.0 19.0 45.0 2.0 \n",
- "598 14.0 28.0 49.0 2.0 \n",
- "614 8.0 7.0 17.0 0.0 \n",
- "629 7.0 8.0 15.0 0.0 \n",
- "645 17.0 10.0 25.0 2.0 \n",
- "657 9.0 14.0 64.0 8.0 \n",
- "672 12.0 21.0 35.0 1.0 \n",
- "687 9.0 11.0 26.0 2.0 \n",
- "701 11.0 11.0 39.0 2.0 \n",
- "715 14.0 24.0 32.0 2.0 \n",
- "731 23.0 20.0 43.0 12.0 \n",
- "746 16.0 22.0 45.0 2.0 \n",
- "762 7.0 8.0 15.0 1.0 \n",
- "776 6.0 12.0 15.0 0.0 \n",
- "791 12.0 31.0 51.0 3.0 \n",
- "806 10.0 34.0 46.0 2.0 \n",
- "821 19.0 29.0 23.0 0.0 \n",
- "836 10.0 21.0 33.0 0.0 \n",
- "850 7.0 28.0 44.0 1.0 \n",
+ " gk_passes_throws gk_goal_kicks gk_crosses gk_crosses_stopped \n",
+ "0 18.0 18.0 28.0 2.0 \n",
+ "16 17.0 22.0 57.0 2.0 \n",
+ "29 18.0 40.0 62.0 4.0 \n",
+ "44 9.0 4.0 10.0 2.0 \n",
+ "57 10.0 9.0 16.0 1.0 \n",
+ "... ... ... ... ... \n",
+ "1085 14.0 35.0 63.0 4.0 \n",
+ "1101 3.0 9.0 9.0 0.0 \n",
+ "1117 23.0 36.0 33.0 3.0 \n",
+ "1129 14.0 32.0 49.0 0.0 \n",
+ "1143 8.0 35.0 54.0 1.0 \n",
"\n",
- "[60 rows x 102 columns]"
+ "[80 rows x 102 columns]"
]
},
- "execution_count": 39,
+ "execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
@@ -5721,7 +4319,7 @@
},
{
"cell_type": "code",
- "execution_count": 40,
+ "execution_count": 27,
"id": "d8b8b6da",
"metadata": {},
"outputs": [],
@@ -5731,7 +4329,7 @@
},
{
"cell_type": "code",
- "execution_count": 41,
+ "execution_count": 28,
"id": "54519b24",
"metadata": {},
"outputs": [
diff --git a/.ipynb_checkpoints/5_scraping_match_probable_players-checkpoint.ipynb b/.ipynb_checkpoints/5_scraping_match_probable_players-checkpoint.ipynb
index d8c1448..4d57e90 100644
--- a/.ipynb_checkpoints/5_scraping_match_probable_players-checkpoint.ipynb
+++ b/.ipynb_checkpoints/5_scraping_match_probable_players-checkpoint.ipynb
@@ -71,31 +71,31 @@
" \n",
" \n",
" 0 \n",
- " Szczesny \n",
+ " Ochoa \n",
+ " 1 \n",
+ " 90.0 \n",
+ " \n",
+ " \n",
+ " 1 \n",
+ " Lovato \n",
" 1 \n",
" 80.0 \n",
" \n",
" \n",
- " 1 \n",
- " Danilo \n",
- " 1 \n",
- " 90.0 \n",
- " \n",
- " \n",
" 2 \n",
- " Bremer \n",
+ " Gyomber \n",
" 1 \n",
- " 90.0 \n",
+ " 80.0 \n",
" \n",
" \n",
" 3 \n",
- " Gatti \n",
+ " Pirola \n",
" 1 \n",
- " 60.0 \n",
+ " 80.0 \n",
" \n",
" \n",
" 4 \n",
- " Weah \n",
+ " Mazzocchi \n",
" 1 \n",
" 80.0 \n",
" \n",
@@ -106,55 +106,55 @@
" ... \n",
" \n",
" \n",
- " 474 \n",
- " Fabbian \n",
+ " 471 \n",
+ " Pisilli \n",
+ " 0 \n",
+ " 10.0 \n",
+ " \n",
+ " \n",
+ " 472 \n",
+ " Aouar \n",
" 0 \n",
" 55.0 \n",
" \n",
" \n",
+ " 473 \n",
+ " El Shaarawy \n",
+ " 0 \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 474 \n",
+ " Belotti \n",
+ " 0 \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
" 475 \n",
- " Aebischer \n",
+ " Azmoun \n",
" 0 \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 476 \n",
- " El Azzouzi \n",
- " 0 \n",
- " 50.0 \n",
- " \n",
- " \n",
- " 477 \n",
- " Urbanski \n",
- " 0 \n",
- " 15.0 \n",
- " \n",
- " \n",
- " 478 \n",
- " Ndoye \n",
- " 0 \n",
- " 60.0 \n",
+ " 35.0 \n",
" \n",
" \n",
"\n",
- "479 rows × 3 columns
\n",
+ "476 rows × 3 columns
\n",
""
],
"text/plain": [
- " player starter percentage\n",
- "0 Szczesny 1 80.0\n",
- "1 Danilo 1 90.0\n",
- "2 Bremer 1 90.0\n",
- "3 Gatti 1 60.0\n",
- "4 Weah 1 80.0\n",
- ".. ... ... ...\n",
- "474 Fabbian 0 55.0\n",
- "475 Aebischer 0 60.0\n",
- "476 El Azzouzi 0 50.0\n",
- "477 Urbanski 0 15.0\n",
- "478 Ndoye 0 60.0\n",
+ " player starter percentage\n",
+ "0 Ochoa 1 90.0\n",
+ "1 Lovato 1 80.0\n",
+ "2 Gyomber 1 80.0\n",
+ "3 Pirola 1 80.0\n",
+ "4 Mazzocchi 1 80.0\n",
+ ".. ... ... ...\n",
+ "471 Pisilli 0 10.0\n",
+ "472 Aouar 0 55.0\n",
+ "473 El Shaarawy 0 55.0\n",
+ "474 Belotti 0 60.0\n",
+ "475 Azmoun 0 35.0\n",
"\n",
- "[479 rows x 3 columns]"
+ "[476 rows x 3 columns]"
]
},
"execution_count": 3,
@@ -235,242 +235,302 @@
" \n",
" \n",
" 0 \n",
+ " Ikwuemesi \n",
+ " Botheim \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 1 \n",
+ " Jovane \n",
+ " Kastanos \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 2 \n",
+ " Okoli \n",
+ " Monterisi \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 3 \n",
+ " Caso \n",
+ " Baez \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 4 \n",
+ " Vasquez \n",
+ " Martin \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 5 \n",
+ " Malinovskyi \n",
+ " De Winter \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 6 \n",
+ " Kjaer \n",
+ " Thiaw \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 7 \n",
+ " Rafael Leao \n",
+ " Chukwueze \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 8 \n",
+ " Giroud \n",
+ " Jovic \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 9 \n",
+ " Bonazzoli \n",
+ " Djuric \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 10 \n",
+ " Mboula \n",
+ " Folorunsho \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 11 \n",
+ " Tressoldi \n",
+ " Viti \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 12 \n",
+ " Vina \n",
+ " Pedersen \n",
+ " 65.0 \n",
+ " \n",
+ " \n",
+ " 13 \n",
+ " Bajrami \n",
+ " Thorstvedt \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 14 \n",
" Fagioli \n",
" Miretti \n",
" 60.0 \n",
" \n",
" \n",
- " 1 \n",
- " Kostic \n",
- " Cambiaso \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 2 \n",
- " Gatti \n",
- " Alex Sandro \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 3 \n",
- " Kamada \n",
- " Guendouzi \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 4 \n",
- " De Vrij \n",
- " Acerbi \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 5 \n",
- " Mkhitaryan \n",
- " Frattesi \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 6 \n",
- " Dumfries \n",
- " Cuadrado \n",
- " 65.0 \n",
- " \n",
- " \n",
- " 7 \n",
- " Giroud \n",
- " Okafor \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 8 \n",
- " Krunic \n",
- " Musah \n",
- " 65.0 \n",
- " \n",
- " \n",
- " 9 \n",
- " Badelj \n",
- " Thorsby \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 10 \n",
- " Sabelli \n",
- " Martin \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 11 \n",
- " Politano \n",
- " Raspadori \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 12 \n",
- " Olivera \n",
- " Mario Rui \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 13 \n",
- " Luvumbo \n",
- " Oristanio \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 14 \n",
- " Petagna \n",
- " Shomurodov \n",
- " 55.0 \n",
- " \n",
- " \n",
" 15 \n",
- " Lucca \n",
- " Success \n",
- " 65.0 \n",
+ " Mckennie \n",
+ " Weah \n",
+ " 55.0 \n",
" \n",
" \n",
" 16 \n",
- " Ferreira J. \n",
- " Ebosele \n",
- " 55.0 \n",
+ " Zaccagni \n",
+ " Pedro \n",
+ " 60.0 \n",
" \n",
" \n",
" 17 \n",
- " Kamara H. \n",
- " Zemura \n",
+ " Romagnoli \n",
+ " Patric \n",
" 60.0 \n",
" \n",
" \n",
" 18 \n",
- " Soule' \n",
- " Baez \n",
- " 65.0 \n",
- " \n",
- " \n",
- " 19 \n",
- " Gelli \n",
- " Caso \n",
+ " Guendouzi \n",
+ " Kamada \n",
" 55.0 \n",
" \n",
" \n",
+ " 19 \n",
+ " Birindelli \n",
+ " Kyriakopoulos \n",
+ " 65.0 \n",
+ " \n",
+ " \n",
" 20 \n",
- " Thorstvedt \n",
- " Bajrami \n",
+ " Maleh \n",
+ " Bastoni S. \n",
" 55.0 \n",
" \n",
" \n",
" 21 \n",
- " Colombo \n",
- " Mota \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 22 \n",
- " Birindelli \n",
- " Kyriakopoulos \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 23 \n",
- " Kaba \n",
- " Gonzalez J. \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 24 \n",
- " Djimsiti \n",
- " Toloi \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 25 \n",
- " De Ketelaere \n",
- " Lookman \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 26 \n",
- " Ederson D.s. \n",
- " Pasalic \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 27 \n",
- " Dybala \n",
- " El Shaarawy \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 28 \n",
- " Kristensen \n",
- " Celik \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 29 \n",
- " Spinazzola \n",
- " Zalewski \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 30 \n",
" Fazzini \n",
" Grassi \n",
" 60.0 \n",
" \n",
" \n",
- " 31 \n",
- " Ebuehi \n",
+ " 22 \n",
" Bereszynski \n",
+ " Ebuehi \n",
" 60.0 \n",
" \n",
" \n",
+ " 23 \n",
+ " Thuram \n",
+ " Arnautovic \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 24 \n",
+ " Dimarco \n",
+ " Carlos Augusto \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 25 \n",
+ " Pavard \n",
+ " Darmian \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 26 \n",
+ " De Vrij \n",
+ " Acerbi \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 27 \n",
+ " Frattesi \n",
+ " Mkhitaryan \n",
+ " 65.0 \n",
+ " \n",
+ " \n",
+ " 28 \n",
+ " Zappacosta \n",
+ " Zortea \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 29 \n",
+ " Ruggeri \n",
+ " Bakker \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 30 \n",
+ " Toloi \n",
+ " Djimsiti \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 31 \n",
+ " Jankto \n",
+ " Deiola \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
" 32 \n",
- " Pezzella Giu. \n",
- " Cacace \n",
+ " Obert \n",
+ " Prati \n",
" 55.0 \n",
" \n",
" \n",
" 33 \n",
- " Botheim \n",
- " Dia \n",
- " 65.0 \n",
+ " Ebosele \n",
+ " Ferreira J. \n",
+ " 60.0 \n",
" \n",
" \n",
" 34 \n",
- " Ilic \n",
- " Linetty \n",
- " 65.0 \n",
+ " Kamara H. \n",
+ " Zemura \n",
+ " 60.0 \n",
" \n",
" \n",
" 35 \n",
- " Bellanova \n",
- " Lazaro \n",
- " 55.0 \n",
+ " Nzola \n",
+ " Beltran L. \n",
+ " 60.0 \n",
" \n",
" \n",
" 36 \n",
- " Lazovic \n",
- " Folorunsho \n",
+ " Mandragora \n",
+ " Duncan \n",
" 55.0 \n",
" \n",
" \n",
" 37 \n",
- " Mboula \n",
- " Bonazzoli \n",
- " 60.0 \n",
+ " Ranieri L. \n",
+ " Martinez Quarta \n",
+ " 55.0 \n",
" \n",
" \n",
" 38 \n",
- " Karlsson \n",
- " Ndoye \n",
- " 60.0 \n",
+ " Kouame' \n",
+ " Sottil \n",
+ " 55.0 \n",
" \n",
" \n",
" 39 \n",
- " Orsolini \n",
+ " Moro N. \n",
+ " Aebischer \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 40 \n",
" Ndoye \n",
+ " Orsolini \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 41 \n",
+ " Zielinski \n",
+ " Elmas \n",
+ " 65.0 \n",
+ " \n",
+ " \n",
+ " 42 \n",
+ " Juan Jesus \n",
+ " Natan \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 43 \n",
+ " Politano \n",
+ " Raspadori \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 44 \n",
+ " Mario Rui \n",
+ " Olivera \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 45 \n",
+ " Vlasic \n",
+ " Seck \n",
+ " 65.0 \n",
+ " \n",
+ " \n",
+ " 46 \n",
+ " Ilic \n",
+ " Tameze \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 47 \n",
+ " Paredes \n",
+ " Aouar \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 48 \n",
+ " Kristensen \n",
+ " Celik \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 49 \n",
+ " Spinazzola \n",
+ " Zalewski \n",
" 60.0 \n",
" \n",
" \n",
@@ -478,47 +538,57 @@
""
],
"text/plain": [
- " player1 player2 percentage\n",
- "0 Fagioli Miretti 60.0\n",
- "1 Kostic Cambiaso 55.0\n",
- "2 Gatti Alex Sandro 60.0\n",
- "3 Kamada Guendouzi 55.0\n",
- "4 De Vrij Acerbi 60.0\n",
- "5 Mkhitaryan Frattesi 55.0\n",
- "6 Dumfries Cuadrado 65.0\n",
- "7 Giroud Okafor 55.0\n",
- "8 Krunic Musah 65.0\n",
- "9 Badelj Thorsby 60.0\n",
- "10 Sabelli Martin 60.0\n",
- "11 Politano Raspadori 60.0\n",
- "12 Olivera Mario Rui 55.0\n",
- "13 Luvumbo Oristanio 60.0\n",
- "14 Petagna Shomurodov 55.0\n",
- "15 Lucca Success 65.0\n",
- "16 Ferreira J. Ebosele 55.0\n",
- "17 Kamara H. Zemura 60.0\n",
- "18 Soule' Baez 65.0\n",
- "19 Gelli Caso 55.0\n",
- "20 Thorstvedt Bajrami 55.0\n",
- "21 Colombo Mota 60.0\n",
- "22 Birindelli Kyriakopoulos 60.0\n",
- "23 Kaba Gonzalez J. 60.0\n",
- "24 Djimsiti Toloi 55.0\n",
- "25 De Ketelaere Lookman 60.0\n",
- "26 Ederson D.s. Pasalic 55.0\n",
- "27 Dybala El Shaarawy 60.0\n",
- "28 Kristensen Celik 55.0\n",
- "29 Spinazzola Zalewski 55.0\n",
- "30 Fazzini Grassi 60.0\n",
- "31 Ebuehi Bereszynski 60.0\n",
- "32 Pezzella Giu. Cacace 55.0\n",
- "33 Botheim Dia 65.0\n",
- "34 Ilic Linetty 65.0\n",
- "35 Bellanova Lazaro 55.0\n",
- "36 Lazovic Folorunsho 55.0\n",
- "37 Mboula Bonazzoli 60.0\n",
- "38 Karlsson Ndoye 60.0\n",
- "39 Orsolini Ndoye 60.0"
+ " player1 player2 percentage\n",
+ "0 Ikwuemesi Botheim 55.0\n",
+ "1 Jovane Kastanos 55.0\n",
+ "2 Okoli Monterisi 55.0\n",
+ "3 Caso Baez 55.0\n",
+ "4 Vasquez Martin 60.0\n",
+ "5 Malinovskyi De Winter 60.0\n",
+ "6 Kjaer Thiaw 60.0\n",
+ "7 Rafael Leao Chukwueze 60.0\n",
+ "8 Giroud Jovic 60.0\n",
+ "9 Bonazzoli Djuric 60.0\n",
+ "10 Mboula Folorunsho 55.0\n",
+ "11 Tressoldi Viti 60.0\n",
+ "12 Vina Pedersen 65.0\n",
+ "13 Bajrami Thorstvedt 60.0\n",
+ "14 Fagioli Miretti 60.0\n",
+ "15 Mckennie Weah 55.0\n",
+ "16 Zaccagni Pedro 60.0\n",
+ "17 Romagnoli Patric 60.0\n",
+ "18 Guendouzi Kamada 55.0\n",
+ "19 Birindelli Kyriakopoulos 65.0\n",
+ "20 Maleh Bastoni S. 55.0\n",
+ "21 Fazzini Grassi 60.0\n",
+ "22 Bereszynski Ebuehi 60.0\n",
+ "23 Thuram Arnautovic 60.0\n",
+ "24 Dimarco Carlos Augusto 55.0\n",
+ "25 Pavard Darmian 60.0\n",
+ "26 De Vrij Acerbi 60.0\n",
+ "27 Frattesi Mkhitaryan 65.0\n",
+ "28 Zappacosta Zortea 60.0\n",
+ "29 Ruggeri Bakker 60.0\n",
+ "30 Toloi Djimsiti 55.0\n",
+ "31 Jankto Deiola 55.0\n",
+ "32 Obert Prati 55.0\n",
+ "33 Ebosele Ferreira J. 60.0\n",
+ "34 Kamara H. Zemura 60.0\n",
+ "35 Nzola Beltran L. 60.0\n",
+ "36 Mandragora Duncan 55.0\n",
+ "37 Ranieri L. Martinez Quarta 55.0\n",
+ "38 Kouame' Sottil 55.0\n",
+ "39 Moro N. Aebischer 55.0\n",
+ "40 Ndoye Orsolini 55.0\n",
+ "41 Zielinski Elmas 65.0\n",
+ "42 Juan Jesus Natan 55.0\n",
+ "43 Politano Raspadori 60.0\n",
+ "44 Mario Rui Olivera 55.0\n",
+ "45 Vlasic Seck 65.0\n",
+ "46 Ilic Tameze 55.0\n",
+ "47 Paredes Aouar 60.0\n",
+ "48 Kristensen Celik 60.0\n",
+ "49 Spinazzola Zalewski 60.0"
]
},
"execution_count": 5,
@@ -583,27 +653,27 @@
" \n",
" \n",
" \n",
- " Szczesny \n",
+ " Ochoa \n",
+ " 1 \n",
+ " 90.0 \n",
+ " \n",
+ " \n",
+ " Lovato \n",
" 1 \n",
" 80.0 \n",
" \n",
" \n",
- " Danilo \n",
+ " Gyomber \n",
" 1 \n",
- " 90.0 \n",
+ " 80.0 \n",
" \n",
" \n",
- " Bremer \n",
+ " Pirola \n",
" 1 \n",
- " 90.0 \n",
+ " 80.0 \n",
" \n",
" \n",
- " Gatti \n",
- " 0.6 \n",
- " 60.0 \n",
- " \n",
- " \n",
- " Weah \n",
+ " Mazzocchi \n",
" 1 \n",
" 80.0 \n",
" \n",
@@ -613,51 +683,51 @@
" ... \n",
" \n",
" \n",
- " Fabbian \n",
+ " Pisilli \n",
+ " 0 \n",
+ " 10.0 \n",
+ " \n",
+ " \n",
+ " Aouar \n",
+ " 0.4 \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " El Shaarawy \n",
" 0 \n",
" 55.0 \n",
" \n",
" \n",
- " Aebischer \n",
+ " Belotti \n",
" 0 \n",
" 60.0 \n",
" \n",
" \n",
- " El Azzouzi \n",
+ " Azmoun \n",
" 0 \n",
- " 50.0 \n",
- " \n",
- " \n",
- " Urbanski \n",
- " 0 \n",
- " 15.0 \n",
- " \n",
- " \n",
- " Ndoye \n",
- " 0.4 \n",
- " 60.0 \n",
+ " 35.0 \n",
" \n",
" \n",
"\n",
- "479 rows × 2 columns
\n",
+ "476 rows × 2 columns
\n",
""
],
"text/plain": [
- " starter percentage\n",
- "player \n",
- "Szczesny 1 80.0\n",
- "Danilo 1 90.0\n",
- "Bremer 1 90.0\n",
- "Gatti 0.6 60.0\n",
- "Weah 1 80.0\n",
- "... ... ...\n",
- "Fabbian 0 55.0\n",
- "Aebischer 0 60.0\n",
- "El Azzouzi 0 50.0\n",
- "Urbanski 0 15.0\n",
- "Ndoye 0.4 60.0\n",
+ " starter percentage\n",
+ "player \n",
+ "Ochoa 1 90.0\n",
+ "Lovato 1 80.0\n",
+ "Gyomber 1 80.0\n",
+ "Pirola 1 80.0\n",
+ "Mazzocchi 1 80.0\n",
+ "... ... ...\n",
+ "Pisilli 0 10.0\n",
+ "Aouar 0.4 55.0\n",
+ "El Shaarawy 0 55.0\n",
+ "Belotti 0 60.0\n",
+ "Azmoun 0 35.0\n",
"\n",
- "[479 rows x 2 columns]"
+ "[476 rows x 2 columns]"
]
},
"execution_count": 6,
diff --git a/.ipynb_checkpoints/6_neural_network_training_and_prediction-checkpoint.ipynb b/.ipynb_checkpoints/6_neural_network_training_and_prediction-checkpoint.ipynb
index 2851817..78f7992 100644
--- a/.ipynb_checkpoints/6_neural_network_training_and_prediction-checkpoint.ipynb
+++ b/.ipynb_checkpoints/6_neural_network_training_and_prediction-checkpoint.ipynb
@@ -10,7 +10,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 1,
"id": "210da263",
"metadata": {},
"outputs": [],
@@ -28,7 +28,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 2,
"id": "edbf3b27",
"metadata": {},
"outputs": [],
@@ -59,7 +59,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 3,
"id": "fa098fa4",
"metadata": {},
"outputs": [],
@@ -72,7 +72,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 4,
"id": "f71fa9a4",
"metadata": {},
"outputs": [
@@ -134,16 +134,16 @@
" 0.0 \n",
" 6.5 \n",
" ... \n",
- " 0.026316 \n",
- " 0.015789 \n",
- " 0.010526 \n",
- " 0.021053 \n",
- " 0.005263 \n",
- " 0.021053 \n",
- " 0.394737 \n",
- " 0.047368 \n",
- " 0.026316 \n",
- " 0.015789 \n",
+ " 0.020161 \n",
+ " 0.012097 \n",
+ " 0.012097 \n",
+ " 0.016129 \n",
+ " 0.008065 \n",
+ " 0.016129 \n",
+ " 0.391129 \n",
+ " 0.040323 \n",
+ " 0.020161 \n",
+ " 0.012097 \n",
" \n",
" \n",
" 1 \n",
@@ -182,16 +182,16 @@
" 0.0 \n",
" 6.5 \n",
" ... \n",
- " 0.003717 \n",
- " 0.003717 \n",
- " 0.000000 \n",
- " 0.011152 \n",
- " 0.011152 \n",
- " 0.018587 \n",
- " 0.457249 \n",
- " 0.022305 \n",
- " 0.033457 \n",
- " 0.003717 \n",
+ " 0.002786 \n",
+ " 0.002786 \n",
+ " 0.002786 \n",
+ " 0.011142 \n",
+ " 0.013928 \n",
+ " 0.022284 \n",
+ " 0.412256 \n",
+ " 0.019499 \n",
+ " 0.025070 \n",
+ " 0.002786 \n",
" \n",
" \n",
" 3 \n",
@@ -207,15 +207,15 @@
" 10.0 \n",
" ... \n",
" 0.000000 \n",
- " 0.015625 \n",
- " 0.015625 \n",
+ " 0.020833 \n",
+ " 0.031250 \n",
" 0.000000 \n",
" 0.000000 \n",
- " 0.015625 \n",
- " 0.515625 \n",
+ " 0.010417 \n",
+ " 0.447917 \n",
" 0.062500 \n",
- " 0.046875 \n",
- " 0.015625 \n",
+ " 0.041667 \n",
+ " 0.010417 \n",
" \n",
" \n",
" 4 \n",
@@ -230,16 +230,16 @@
" 0.0 \n",
" 7.5 \n",
" ... \n",
- " 0.012295 \n",
- " 0.004098 \n",
- " 0.016393 \n",
- " 0.000000 \n",
- " 0.004098 \n",
- " 0.024590 \n",
- " 0.434426 \n",
- " 0.016393 \n",
- " 0.016393 \n",
- " 0.004098 \n",
+ " 0.012384 \n",
+ " 0.003096 \n",
+ " 0.012384 \n",
+ " 0.006192 \n",
+ " 0.003096 \n",
+ " 0.027864 \n",
+ " 0.408669 \n",
+ " 0.015480 \n",
+ " 0.012384 \n",
+ " 0.003096 \n",
" \n",
" \n",
" ... \n",
@@ -266,7 +266,7 @@
" ... \n",
" \n",
" \n",
- " 29789 \n",
+ " 30064 \n",
" 38 \n",
" Miguel Veloso \n",
" Verona \n",
@@ -290,7 +290,7 @@
" 0.000860 \n",
" \n",
" \n",
- " 29790 \n",
+ " 30065 \n",
" 38 \n",
" Tameze \n",
" Verona \n",
@@ -314,7 +314,7 @@
" 0.001320 \n",
" \n",
" \n",
- " 29791 \n",
+ " 30066 \n",
" 38 \n",
" Sulemana I. \n",
" Verona \n",
@@ -338,7 +338,7 @@
" 0.000000 \n",
" \n",
" \n",
- " 29792 \n",
+ " 30067 \n",
" 38 \n",
" Djuric \n",
" Verona \n",
@@ -362,7 +362,7 @@
" 0.002196 \n",
" \n",
" \n",
- " 29793 \n",
+ " 30068 \n",
" 38 \n",
" Ngonge \n",
" Verona \n",
@@ -387,7 +387,7 @@
" \n",
" \n",
"\n",
- "29794 rows × 122 columns
\n",
+ "30069 rows × 122 columns
\n",
""
],
"text/plain": [
@@ -398,68 +398,68 @@
"3 1 Zortea Atalanta Sassuolo 0 7.0 1 \n",
"4 1 Ruggeri Atalanta Sassuolo 0 6.5 0 \n",
"... ... ... ... ... ... ... ... \n",
- "29789 38 Miguel Veloso Verona Milan 0 5.5 0 \n",
- "29790 38 Tameze Verona Milan 0 5.5 0 \n",
- "29791 38 Sulemana I. Verona Milan 0 6.0 0 \n",
- "29792 38 Djuric Verona Milan 0 5.5 0 \n",
- "29793 38 Ngonge Verona Milan 0 5.5 0 \n",
+ "30064 38 Miguel Veloso Verona Milan 0 5.5 0 \n",
+ "30065 38 Tameze Verona Milan 0 5.5 0 \n",
+ "30066 38 Sulemana I. Verona Milan 0 6.0 0 \n",
+ "30067 38 Djuric Verona Milan 0 5.5 0 \n",
+ "30068 38 Ngonge Verona Milan 0 5.5 0 \n",
"\n",
" assists cards_malus fantavote ... miscontrols dispossessed \\\n",
- "0 0 0.0 6.5 ... 0.026316 0.015789 \n",
+ "0 0 0.0 6.5 ... 0.020161 0.012097 \n",
"1 0 0.0 6.0 ... 0.007874 0.000000 \n",
- "2 0 0.0 6.5 ... 0.003717 0.003717 \n",
- "3 0 0.0 10.0 ... 0.000000 0.015625 \n",
- "4 1 0.0 7.5 ... 0.012295 0.004098 \n",
+ "2 0 0.0 6.5 ... 0.002786 0.002786 \n",
+ "3 0 0.0 10.0 ... 0.000000 0.020833 \n",
+ "4 1 0.0 7.5 ... 0.012384 0.003096 \n",
"... ... ... ... ... ... ... \n",
- "29789 0 0.0 5.5 ... 0.006019 0.006019 \n",
- "29790 0 0.0 5.5 ... 0.012867 0.011217 \n",
- "29791 0 0.5 5.5 ... 0.015361 0.013825 \n",
- "29792 0 0.0 5.5 ... 0.019034 0.010981 \n",
- "29793 0 0.0 5.5 ... 0.030872 0.016107 \n",
+ "30064 0 0.0 5.5 ... 0.006019 0.006019 \n",
+ "30065 0 0.0 5.5 ... 0.012867 0.011217 \n",
+ "30066 0 0.5 5.5 ... 0.015361 0.013825 \n",
+ "30067 0 0.0 5.5 ... 0.019034 0.010981 \n",
+ "30068 0 0.0 5.5 ... 0.030872 0.016107 \n",
"\n",
" fouls fouled aerials_won aerials_lost carries \\\n",
- "0 0.010526 0.021053 0.005263 0.021053 0.394737 \n",
+ "0 0.012097 0.016129 0.008065 0.016129 0.391129 \n",
"1 0.007874 0.000000 0.019685 0.027559 0.350394 \n",
- "2 0.000000 0.011152 0.011152 0.018587 0.457249 \n",
- "3 0.015625 0.000000 0.000000 0.015625 0.515625 \n",
- "4 0.016393 0.000000 0.004098 0.024590 0.434426 \n",
+ "2 0.002786 0.011142 0.013928 0.022284 0.412256 \n",
+ "3 0.031250 0.000000 0.000000 0.010417 0.447917 \n",
+ "4 0.012384 0.006192 0.003096 0.027864 0.408669 \n",
"... ... ... ... ... ... \n",
- "29789 0.017197 0.006879 0.012038 0.012038 0.265692 \n",
- "29790 0.010558 0.010228 0.008908 0.010228 0.235236 \n",
- "29791 0.016897 0.004608 0.015361 0.018433 0.201229 \n",
- "29792 0.017570 0.021230 0.144217 0.041728 0.191801 \n",
- "29793 0.017450 0.014765 0.022819 0.046980 0.242953 \n",
+ "30064 0.017197 0.006879 0.012038 0.012038 0.265692 \n",
+ "30065 0.010558 0.010228 0.008908 0.010228 0.235236 \n",
+ "30066 0.016897 0.004608 0.015361 0.018433 0.201229 \n",
+ "30067 0.017570 0.021230 0.144217 0.041728 0.191801 \n",
+ "30068 0.017450 0.014765 0.022819 0.046980 0.242953 \n",
"\n",
" progressive_carries carries_into_final_third \\\n",
- "0 0.047368 0.026316 \n",
+ "0 0.040323 0.020161 \n",
"1 0.000000 0.000000 \n",
- "2 0.022305 0.033457 \n",
- "3 0.062500 0.046875 \n",
- "4 0.016393 0.016393 \n",
+ "2 0.019499 0.025070 \n",
+ "3 0.062500 0.041667 \n",
+ "4 0.015480 0.012384 \n",
"... ... ... \n",
- "29789 0.014617 0.011178 \n",
- "29790 0.010558 0.011217 \n",
- "29791 0.006144 0.010753 \n",
- "29792 0.001464 0.003660 \n",
- "29793 0.024161 0.014765 \n",
+ "30064 0.014617 0.011178 \n",
+ "30065 0.010558 0.011217 \n",
+ "30066 0.006144 0.010753 \n",
+ "30067 0.001464 0.003660 \n",
+ "30068 0.024161 0.014765 \n",
"\n",
" carries_into_penalty_area \n",
- "0 0.015789 \n",
+ "0 0.012097 \n",
"1 0.000000 \n",
- "2 0.003717 \n",
- "3 0.015625 \n",
- "4 0.004098 \n",
+ "2 0.002786 \n",
+ "3 0.010417 \n",
+ "4 0.003096 \n",
"... ... \n",
- "29789 0.000860 \n",
- "29790 0.001320 \n",
- "29791 0.000000 \n",
- "29792 0.002196 \n",
- "29793 0.012081 \n",
+ "30064 0.000860 \n",
+ "30065 0.001320 \n",
+ "30066 0.000000 \n",
+ "30067 0.002196 \n",
+ "30068 0.012081 \n",
"\n",
- "[29794 rows x 122 columns]"
+ "[30069 rows x 122 columns]"
]
},
- "execution_count": 6,
+ "execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
@@ -472,7 +472,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 5,
"id": "1d024554",
"metadata": {},
"outputs": [
@@ -558,15 +558,15 @@
" 0.0 \n",
" 4.0 \n",
" ... \n",
- " 3.000000 \n",
- " 0.330000 \n",
- " -1.000000 \n",
- " 11.000000 \n",
- " 31.000000 \n",
- " 63.000000 \n",
- " 14.000000 \n",
- " 19.000000 \n",
+ " 3.200000 \n",
+ " 0.320000 \n",
+ " -0.800000 \n",
+ " 17.000000 \n",
" 45.000000 \n",
+ " 106.000000 \n",
+ " 17.000000 \n",
+ " 22.000000 \n",
+ " 57.000000 \n",
" 2.000000 \n",
" \n",
" \n",
@@ -582,16 +582,16 @@
" 0.0 \n",
" 6.5 \n",
" ... \n",
+ " 4.100000 \n",
+ " 0.330000 \n",
+ " 0.100000 \n",
+ " 24.000000 \n",
+ " 54.000000 \n",
+ " 76.000000 \n",
+ " 18.000000 \n",
+ " 40.000000 \n",
+ " 62.000000 \n",
" 4.000000 \n",
- " 0.340000 \n",
- " 0.000000 \n",
- " 16.000000 \n",
- " 41.000000 \n",
- " 53.000000 \n",
- " 14.000000 \n",
- " 28.000000 \n",
- " 49.000000 \n",
- " 2.000000 \n",
" \n",
" \n",
" 3 \n",
@@ -630,16 +630,16 @@
" 0.0 \n",
" 5.0 \n",
" ... \n",
- " 0.300000 \n",
- " 0.130000 \n",
- " -0.700000 \n",
- " 3.000000 \n",
- " 5.000000 \n",
- " 47.000000 \n",
- " 3.000000 \n",
- " 4.000000 \n",
- " 11.000000 \n",
- " 0.000000 \n",
+ " 1.000000 \n",
+ " 0.170000 \n",
+ " -2.000000 \n",
+ " 13.000000 \n",
+ " 20.000000 \n",
+ " 85.000000 \n",
+ " 10.000000 \n",
+ " 9.000000 \n",
+ " 16.000000 \n",
+ " 1.000000 \n",
" \n",
" \n",
" ... \n",
@@ -666,7 +666,7 @@
" ... \n",
" \n",
" \n",
- " 2344 \n",
+ " 2364 \n",
" 38 \n",
" Russo A. \n",
" Sassuolo \n",
@@ -690,7 +690,7 @@
" 23.333333 \n",
" \n",
" \n",
- " 2345 \n",
+ " 2365 \n",
" 38 \n",
" Zoet \n",
" Spezia \n",
@@ -714,7 +714,7 @@
" 5.500000 \n",
" \n",
" \n",
- " 2346 \n",
+ " 2366 \n",
" 38 \n",
" Milinkovic-Savic V. \n",
" Torino \n",
@@ -738,7 +738,7 @@
" 36.000000 \n",
" \n",
" \n",
- " 2347 \n",
+ " 2367 \n",
" 38 \n",
" Silvestri \n",
" Udinese \n",
@@ -762,7 +762,7 @@
" 13.000000 \n",
" \n",
" \n",
- " 2348 \n",
+ " 2368 \n",
" 38 \n",
" Montipo' \n",
" Verona \n",
@@ -787,7 +787,7 @@
" \n",
" \n",
"\n",
- "2349 rows × 102 columns
\n",
+ "2369 rows × 102 columns
\n",
""
],
"text/plain": [
@@ -798,68 +798,68 @@
"3 1 Caprile Empoli Verona 1 5.0 \n",
"4 1 Terracciano Fiorentina Genoa 0 6.0 \n",
"... ... ... ... ... ... ... \n",
- "2344 38 Russo A. Sassuolo Fiorentina 1 5.0 \n",
- "2345 38 Zoet Spezia Roma 0 5.5 \n",
- "2346 38 Milinkovic-Savic V. Torino Inter 1 5.0 \n",
- "2347 38 Silvestri Udinese Juventus 1 6.5 \n",
- "2348 38 Montipo' Verona Milan 0 6.0 \n",
+ "2364 38 Russo A. Sassuolo Fiorentina 1 5.0 \n",
+ "2365 38 Zoet Spezia Roma 0 5.5 \n",
+ "2366 38 Milinkovic-Savic V. Torino Inter 1 5.0 \n",
+ "2367 38 Silvestri Udinese Juventus 1 6.5 \n",
+ "2368 38 Montipo' Verona Milan 0 6.0 \n",
"\n",
" goals assists cards_malus fantavote ... gk_psxg \\\n",
"0 0 0 0.0 6.5 ... 2.100000 \n",
- "1 -2 0 0.0 4.0 ... 3.000000 \n",
- "2 0 0 0.0 6.5 ... 4.000000 \n",
+ "1 -2 0 0.0 4.0 ... 3.200000 \n",
+ "2 0 0 0.0 6.5 ... 4.100000 \n",
"3 -1 0 0.0 4.0 ... 0.400000 \n",
- "4 -1 0 0.0 5.0 ... 0.300000 \n",
+ "4 -1 0 0.0 5.0 ... 1.000000 \n",
"... ... ... ... ... ... ... \n",
- "2344 -3 0 0.0 2.0 ... 32.550000 \n",
- "2345 -2 0 0.5 3.0 ... 10.016667 \n",
- "2346 -1 0 0.0 4.0 ... 35.800000 \n",
- "2347 -1 0 0.0 5.5 ... 48.700000 \n",
- "2348 -3 0 0.0 3.0 ... 49.600000 \n",
+ "2364 -3 0 0.0 2.0 ... 32.550000 \n",
+ "2365 -2 0 0.5 3.0 ... 10.016667 \n",
+ "2366 -1 0 0.0 4.0 ... 35.800000 \n",
+ "2367 -1 0 0.0 5.5 ... 48.700000 \n",
+ "2368 -3 0 0.0 3.0 ... 49.600000 \n",
"\n",
" gk_psnpxg_per_shot_on_target_against gk_psxg_net \\\n",
"0 0.210000 0.100000 \n",
- "1 0.330000 -1.000000 \n",
- "2 0.340000 0.000000 \n",
+ "1 0.320000 -0.800000 \n",
+ "2 0.330000 0.100000 \n",
"3 0.110000 -0.600000 \n",
- "4 0.130000 -0.700000 \n",
+ "4 0.170000 -2.000000 \n",
"... ... ... \n",
- "2344 0.325000 -12.116667 \n",
- "2345 0.158333 -1.816667 \n",
- "2346 0.230000 -5.200000 \n",
- "2347 0.310000 2.700000 \n",
- "2348 0.270000 -6.400000 \n",
+ "2364 0.325000 -12.116667 \n",
+ "2365 0.158333 -1.816667 \n",
+ "2366 0.230000 -5.200000 \n",
+ "2367 0.310000 2.700000 \n",
+ "2368 0.270000 -6.400000 \n",
"\n",
" gk_passes_completed_launched gk_passes_launched gk_passes \\\n",
"0 11.000000 34.000000 88.000000 \n",
- "1 11.000000 31.000000 63.000000 \n",
- "2 16.000000 41.000000 53.000000 \n",
+ "1 17.000000 45.000000 106.000000 \n",
+ "2 24.000000 54.000000 76.000000 \n",
"3 4.000000 20.000000 37.000000 \n",
- "4 3.000000 5.000000 47.000000 \n",
+ "4 13.000000 20.000000 85.000000 \n",
"... ... ... ... \n",
- "2344 146.666667 365.333333 957.000000 \n",
- "2345 46.000000 145.333333 254.166667 \n",
- "2346 285.000000 939.000000 1506.000000 \n",
- "2347 144.000000 380.000000 872.000000 \n",
- "2348 360.000000 775.000000 905.000000 \n",
+ "2364 146.666667 365.333333 957.000000 \n",
+ "2365 46.000000 145.333333 254.166667 \n",
+ "2366 285.000000 939.000000 1506.000000 \n",
+ "2367 144.000000 380.000000 872.000000 \n",
+ "2368 360.000000 775.000000 905.000000 \n",
"\n",
" gk_passes_throws gk_goal_kicks gk_crosses gk_crosses_stopped \n",
"0 18.000000 18.000000 28.000000 2.000000 \n",
- "1 14.000000 19.000000 45.000000 2.000000 \n",
- "2 14.000000 28.000000 49.000000 2.000000 \n",
+ "1 17.000000 22.000000 57.000000 2.000000 \n",
+ "2 18.000000 40.000000 62.000000 4.000000 \n",
"3 9.000000 4.000000 10.000000 2.000000 \n",
- "4 3.000000 4.000000 11.000000 0.000000 \n",
+ "4 10.000000 9.000000 16.000000 1.000000 \n",
"... ... ... ... ... \n",
- "2344 156.166667 238.833333 391.500000 23.333333 \n",
- "2345 37.333333 51.833333 130.333333 5.500000 \n",
- "2346 185.000000 286.000000 469.000000 36.000000 \n",
- "2347 142.000000 302.000000 547.000000 13.000000 \n",
- "2348 124.000000 284.000000 496.000000 26.000000 \n",
+ "2364 156.166667 238.833333 391.500000 23.333333 \n",
+ "2365 37.333333 51.833333 130.333333 5.500000 \n",
+ "2366 185.000000 286.000000 469.000000 36.000000 \n",
+ "2367 142.000000 302.000000 547.000000 13.000000 \n",
+ "2368 124.000000 284.000000 496.000000 26.000000 \n",
"\n",
- "[2349 rows x 102 columns]"
+ "[2369 rows x 102 columns]"
]
},
- "execution_count": 7,
+ "execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
@@ -885,7 +885,7 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 6,
"id": "bc9dae87",
"metadata": {},
"outputs": [],
@@ -910,7 +910,7 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 7,
"id": "493b0495",
"metadata": {},
"outputs": [
@@ -918,7 +918,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_11684\\661405348.py:3: FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 'numeric_only=None') is deprecated; in a future version this will raise TypeError. Select only valid columns before calling the reduction.\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_5452\\661405348.py:3: FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 'numeric_only=None') is deprecated; in a future version this will raise TypeError. Select only valid columns before calling the reduction.\n",
" avg_row = pd.DataFrame(index = ['Avg'], data = [team_data.mean()], columns = team_data.columns)\n"
]
},
@@ -970,506 +970,506 @@
" \n",
" Atalanta \n",
" Atalanta \n",
- " 20.00 \n",
- " 51.700 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 6.00 \n",
- " 6.00 \n",
+ " 23.00 \n",
+ " 49.500 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 8.00 \n",
+ " 8.00 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 28.00 \n",
- " 33.00 \n",
- " 2.00 \n",
+ " 36.0 \n",
+ " 47.0 \n",
+ " 2.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
" 0.00 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 157.00 \n",
- " 44.0 \n",
- " 42.0 \n",
- " 51.20 \n",
+ " 212.00 \n",
+ " 65.0 \n",
+ " 60.0 \n",
+ " 52.00 \n",
" \n",
" \n",
" Bologna \n",
" Bologna \n",
- " 20.00 \n",
- " 55.300 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 22.00 \n",
+ " 56.500 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 3.00 \n",
" 2.00 \n",
" 0.00 \n",
" 1.0 \n",
" ... \n",
- " 32.00 \n",
- " 30.00 \n",
- " 7.00 \n",
- " 0.00 \n",
- " 1.0 \n",
+ " 50.0 \n",
+ " 40.0 \n",
+ " 12.0 \n",
" 0.0 \n",
- " 157.00 \n",
- " 23.0 \n",
- " 29.0 \n",
- " 44.20 \n",
+ " 1.0 \n",
+ " 0.00 \n",
+ " 207.00 \n",
+ " 34.0 \n",
+ " 46.0 \n",
+ " 42.50 \n",
" \n",
" \n",
" Cagliari \n",
" Cagliari \n",
- " 19.00 \n",
- " 35.000 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 21.00 \n",
+ " 37.800 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 1.00 \n",
" 1.00 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 27.00 \n",
- " 29.00 \n",
- " 4.00 \n",
+ " 38.0 \n",
+ " 41.0 \n",
+ " 5.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
" 0.00 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 165.00 \n",
- " 44.0 \n",
- " 37.0 \n",
- " 54.30 \n",
+ " 220.00 \n",
+ " 60.0 \n",
+ " 51.0 \n",
+ " 54.10 \n",
" \n",
" \n",
" Empoli \n",
" Empoli \n",
- " 26.00 \n",
- " 48.000 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 27.00 \n",
+ " 47.800 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 0.00 \n",
" 0.00 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 45.00 \n",
- " 38.00 \n",
- " 6.00 \n",
- " 1.00 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 152.00 \n",
+ " 60.0 \n",
" 42.0 \n",
- " 30.0 \n",
- " 58.30 \n",
+ " 8.0 \n",
+ " 1.0 \n",
+ " 0.0 \n",
+ " 0.00 \n",
+ " 203.00 \n",
+ " 54.0 \n",
+ " 39.0 \n",
+ " 58.10 \n",
" \n",
" \n",
" Fiorentina \n",
" Fiorentina \n",
- " 21.00 \n",
- " 62.300 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 6.00 \n",
- " 5.00 \n",
+ " 22.00 \n",
+ " 61.000 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 9.00 \n",
+ " 7.00 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 42.00 \n",
- " 36.00 \n",
- " 3.00 \n",
- " 1.00 \n",
+ " 56.0 \n",
+ " 43.0 \n",
+ " 5.0 \n",
+ " 1.0 \n",
" 0.0 \n",
- " 0.0 \n",
- " 142.00 \n",
- " 38.0 \n",
- " 32.0 \n",
- " 54.30 \n",
+ " 0.00 \n",
+ " 202.00 \n",
+ " 56.0 \n",
+ " 53.0 \n",
+ " 51.40 \n",
" \n",
" \n",
" Frosinone \n",
" Frosinone \n",
- " 21.00 \n",
- " 46.000 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 3.00 \n",
- " 2.00 \n",
- " 1.00 \n",
- " 1.0 \n",
- " ... \n",
- " 41.00 \n",
- " 31.00 \n",
+ " 23.00 \n",
+ " 48.300 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 7.00 \n",
" 4.00 \n",
- " 0.00 \n",
- " 1.0 \n",
+ " 2.00 \n",
+ " 2.0 \n",
+ " ... \n",
+ " 50.0 \n",
+ " 39.0 \n",
+ " 6.0 \n",
" 0.0 \n",
- " 168.00 \n",
- " 46.0 \n",
- " 42.0 \n",
- " 52.30 \n",
+ " 2.0 \n",
+ " 0.00 \n",
+ " 212.00 \n",
+ " 53.0 \n",
+ " 52.0 \n",
+ " 50.50 \n",
" \n",
" \n",
" Genoa \n",
" Genoa \n",
- " 18.00 \n",
- " 33.000 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 2.00 \n",
- " 1.00 \n",
+ " 19.00 \n",
+ " 33.300 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 4.00 \n",
+ " 3.00 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 35.00 \n",
- " 31.00 \n",
- " 6.00 \n",
+ " 43.0 \n",
+ " 43.0 \n",
+ " 9.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
" 0.00 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 148.00 \n",
- " 32.0 \n",
- " 44.0 \n",
- " 42.10 \n",
+ " 200.00 \n",
+ " 46.0 \n",
+ " 60.0 \n",
+ " 43.40 \n",
" \n",
" \n",
" Verona \n",
" Hellas Verona \n",
- " 19.00 \n",
- " 44.700 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 21.00 \n",
+ " 43.500 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 4.00 \n",
" 2.00 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 37.00 \n",
- " 47.00 \n",
- " 6.00 \n",
- " 1.00 \n",
+ " 47.0 \n",
+ " 63.0 \n",
+ " 7.0 \n",
+ " 1.0 \n",
" 0.0 \n",
- " 0.0 \n",
- " 138.00 \n",
- " 54.0 \n",
+ " 0.00 \n",
+ " 190.00 \n",
" 71.0 \n",
- " 43.20 \n",
+ " 82.0 \n",
+ " 46.40 \n",
" \n",
" \n",
" Inter \n",
" Inter \n",
- " 18.00 \n",
- " 51.300 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 8.00 \n",
- " 7.00 \n",
- " 1.00 \n",
- " 1.0 \n",
+ " 19.00 \n",
+ " 48.800 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 13.00 \n",
+ " 11.00 \n",
+ " 2.00 \n",
+ " 2.0 \n",
" ... \n",
- " 34.00 \n",
- " 30.00 \n",
- " 3.00 \n",
- " 0.00 \n",
- " 1.0 \n",
+ " 47.0 \n",
+ " 44.0 \n",
+ " 5.0 \n",
" 0.0 \n",
- " 128.00 \n",
- " 24.0 \n",
- " 36.0 \n",
- " 40.00 \n",
+ " 2.0 \n",
+ " 0.00 \n",
+ " 163.00 \n",
+ " 30.0 \n",
+ " 44.0 \n",
+ " 40.50 \n",
" \n",
" \n",
" Juventus \n",
" Juventus \n",
" 21.00 \n",
- " 53.000 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 6.00 \n",
- " 4.00 \n",
+ " 48.800 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 9.00 \n",
+ " 7.00 \n",
" 1.00 \n",
" 2.0 \n",
" ... \n",
- " 39.00 \n",
- " 36.00 \n",
- " 5.00 \n",
- " 0.00 \n",
- " 2.0 \n",
+ " 52.0 \n",
+ " 49.0 \n",
+ " 5.0 \n",
" 0.0 \n",
- " 134.00 \n",
- " 22.0 \n",
+ " 2.0 \n",
+ " 0.00 \n",
+ " 173.00 \n",
" 26.0 \n",
- " 45.80 \n",
+ " 38.0 \n",
+ " 40.60 \n",
" \n",
" \n",
" Lazio \n",
" Lazio \n",
- " 19.00 \n",
- " 53.300 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 3.00 \n",
- " 3.00 \n",
+ " 20.00 \n",
+ " 56.000 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 4.00 \n",
+ " 4.00 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 36.00 \n",
- " 31.00 \n",
- " 6.00 \n",
+ " 49.0 \n",
+ " 44.0 \n",
+ " 7.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
" 0.00 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 155.00 \n",
- " 39.0 \n",
- " 26.0 \n",
- " 60.00 \n",
+ " 196.00 \n",
+ " 51.0 \n",
+ " 30.0 \n",
+ " 63.00 \n",
" \n",
" \n",
" Lecce \n",
" Lecce \n",
- " 18.00 \n",
- " 45.000 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 6.00 \n",
+ " 19.00 \n",
+ " 43.500 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 7.00 \n",
" 5.00 \n",
- " 1.00 \n",
- " 1.0 \n",
+ " 2.00 \n",
+ " 2.0 \n",
" ... \n",
- " 47.00 \n",
- " 43.00 \n",
- " 4.00 \n",
- " 0.00 \n",
- " 1.0 \n",
+ " 64.0 \n",
+ " 53.0 \n",
+ " 5.0 \n",
" 0.0 \n",
- " 150.00 \n",
- " 33.0 \n",
- " 46.0 \n",
- " 41.80 \n",
+ " 2.0 \n",
+ " 0.00 \n",
+ " 203.00 \n",
+ " 43.0 \n",
+ " 54.0 \n",
+ " 44.30 \n",
" \n",
" \n",
" Milan \n",
" Milan \n",
- " 18.00 \n",
- " 54.000 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 8.00 \n",
- " 5.00 \n",
+ " 19.00 \n",
+ " 55.300 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 9.00 \n",
+ " 6.00 \n",
" 3.00 \n",
" 3.0 \n",
" ... \n",
- " 40.00 \n",
- " 31.00 \n",
- " 5.00 \n",
- " 0.00 \n",
+ " 56.0 \n",
+ " 43.0 \n",
+ " 7.0 \n",
+ " 1.0 \n",
" 3.0 \n",
- " 0.0 \n",
- " 145.00 \n",
- " 34.0 \n",
- " 27.0 \n",
- " 55.70 \n",
+ " 0.00 \n",
+ " 176.00 \n",
+ " 42.0 \n",
+ " 33.0 \n",
+ " 56.00 \n",
" \n",
" \n",
" Monza \n",
" Monza \n",
- " 21.00 \n",
- " 55.300 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 2.00 \n",
- " 2.00 \n",
+ " 22.00 \n",
+ " 56.800 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 3.00 \n",
+ " 3.00 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 26.00 \n",
- " 35.00 \n",
- " 6.00 \n",
- " 0.00 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 144.00 \n",
" 37.0 \n",
- " 27.0 \n",
- " 57.80 \n",
+ " 52.0 \n",
+ " 6.0 \n",
+ " 1.0 \n",
+ " 0.0 \n",
+ " 0.00 \n",
+ " 187.00 \n",
+ " 45.0 \n",
+ " 37.0 \n",
+ " 54.90 \n",
" \n",
" \n",
" Napoli \n",
" Napoli \n",
- " 18.00 \n",
- " 60.300 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 6.00 \n",
- " 3.00 \n",
+ " 19.00 \n",
+ " 61.800 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 8.00 \n",
+ " 5.00 \n",
" 1.00 \n",
" 2.0 \n",
" ... \n",
- " 33.00 \n",
- " 33.00 \n",
- " 6.00 \n",
- " 1.00 \n",
+ " 47.0 \n",
+ " 39.0 \n",
+ " 7.0 \n",
+ " 1.0 \n",
" 2.0 \n",
- " 0.0 \n",
- " 124.00 \n",
- " 19.0 \n",
- " 33.0 \n",
- " 36.50 \n",
+ " 0.00 \n",
+ " 173.00 \n",
+ " 35.0 \n",
+ " 47.0 \n",
+ " 42.70 \n",
" \n",
" \n",
" Roma \n",
" Roma \n",
- " 21.00 \n",
- " 58.300 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 4.00 \n",
- " 3.00 \n",
- " 0.00 \n",
- " 0.0 \n",
- " ... \n",
- " 41.00 \n",
- " 36.00 \n",
- " 2.00 \n",
+ " 23.00 \n",
+ " 57.000 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 10.00 \n",
+ " 8.00 \n",
" 1.00 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 114.00 \n",
- " 45.0 \n",
- " 64.0 \n",
- " 41.30 \n",
+ " 1.0 \n",
+ " ... \n",
+ " 46.0 \n",
+ " 51.0 \n",
+ " 4.0 \n",
+ " 1.0 \n",
+ " 1.0 \n",
+ " 1.00 \n",
+ " 159.00 \n",
+ " 54.0 \n",
+ " 76.0 \n",
+ " 41.50 \n",
" \n",
" \n",
" Salernitana \n",
" Salernitana \n",
" 21.00 \n",
- " 50.000 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 51.500 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 3.00 \n",
" 3.00 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 48.00 \n",
- " 34.00 \n",
- " 2.00 \n",
+ " 64.0 \n",
+ " 46.0 \n",
+ " 4.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
" 0.00 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 151.00 \n",
- " 68.0 \n",
- " 37.0 \n",
- " 64.80 \n",
+ " 203.00 \n",
+ " 86.0 \n",
+ " 54.0 \n",
+ " 61.40 \n",
" \n",
" \n",
" Sassuolo \n",
" Sassuolo \n",
- " 22.00 \n",
- " 43.000 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 3.00 \n",
- " 2.00 \n",
+ " 24.00 \n",
+ " 43.500 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 5.00 \n",
+ " 4.00 \n",
" 1.00 \n",
" 1.0 \n",
" ... \n",
- " 35.00 \n",
- " 25.00 \n",
- " 10.00 \n",
- " 1.00 \n",
+ " 45.0 \n",
+ " 34.0 \n",
+ " 15.0 \n",
+ " 2.0 \n",
" 1.0 \n",
- " 0.0 \n",
- " 159.00 \n",
- " 40.0 \n",
- " 30.0 \n",
- " 57.10 \n",
+ " 0.00 \n",
+ " 207.00 \n",
+ " 50.0 \n",
+ " 37.0 \n",
+ " 57.50 \n",
" \n",
" \n",
" Torino \n",
" Torino \n",
- " 20.00 \n",
- " 53.700 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 2.00 \n",
- " 2.00 \n",
+ " 22.00 \n",
+ " 51.300 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 5.00 \n",
+ " 3.00 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 32.00 \n",
- " 33.00 \n",
- " 5.00 \n",
- " 1.00 \n",
+ " 44.0 \n",
+ " 48.0 \n",
+ " 7.0 \n",
+ " 1.0 \n",
" 0.0 \n",
- " 0.0 \n",
- " 151.00 \n",
- " 46.0 \n",
- " 41.0 \n",
- " 52.90 \n",
+ " 0.00 \n",
+ " 207.00 \n",
+ " 63.0 \n",
+ " 59.0 \n",
+ " 51.60 \n",
" \n",
" \n",
" Udinese \n",
" Udinese \n",
- " 18.00 \n",
- " 46.700 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 22.00 \n",
+ " 48.500 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 1.00 \n",
" 1.00 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 31.00 \n",
- " 41.00 \n",
- " 7.00 \n",
+ " 43.0 \n",
+ " 51.0 \n",
+ " 10.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
" 0.00 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 137.00 \n",
- " 38.0 \n",
- " 48.0 \n",
- " 44.20 \n",
+ " 188.00 \n",
+ " 52.0 \n",
+ " 64.0 \n",
+ " 44.80 \n",
" \n",
" \n",
" Avg \n",
" Avg \n",
- " 19.95 \n",
- " 49.995 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 3.85 \n",
- " 2.95 \n",
- " 0.45 \n",
- " 0.6 \n",
+ " 21.45 \n",
+ " 50.025 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 5.65 \n",
+ " 4.35 \n",
+ " 0.65 \n",
+ " 0.8 \n",
" ... \n",
- " 36.45 \n",
- " 34.15 \n",
- " 4.95 \n",
- " 0.35 \n",
- " 0.6 \n",
- " 0.0 \n",
- " 145.95 \n",
- " 38.4 \n",
- " 38.4 \n",
- " 49.89 \n",
+ " 48.7 \n",
+ " 45.6 \n",
+ " 6.8 \n",
+ " 0.5 \n",
+ " 0.8 \n",
+ " 0.05 \n",
+ " 194.05 \n",
+ " 50.8 \n",
+ " 50.8 \n",
+ " 49.86 \n",
" \n",
" \n",
"\n",
@@ -1478,170 +1478,170 @@
],
"text/plain": [
" team team_players_used team_possession team_games \\\n",
- "Atalanta Atalanta 20.00 51.700 3.0 \n",
- "Bologna Bologna 20.00 55.300 3.0 \n",
- "Cagliari Cagliari 19.00 35.000 3.0 \n",
- "Empoli Empoli 26.00 48.000 3.0 \n",
- "Fiorentina Fiorentina 21.00 62.300 3.0 \n",
- "Frosinone Frosinone 21.00 46.000 3.0 \n",
- "Genoa Genoa 18.00 33.000 3.0 \n",
- "Verona Hellas Verona 19.00 44.700 3.0 \n",
- "Inter Inter 18.00 51.300 3.0 \n",
- "Juventus Juventus 21.00 53.000 3.0 \n",
- "Lazio Lazio 19.00 53.300 3.0 \n",
- "Lecce Lecce 18.00 45.000 3.0 \n",
- "Milan Milan 18.00 54.000 3.0 \n",
- "Monza Monza 21.00 55.300 3.0 \n",
- "Napoli Napoli 18.00 60.300 3.0 \n",
- "Roma Roma 21.00 58.300 3.0 \n",
- "Salernitana Salernitana 21.00 50.000 3.0 \n",
- "Sassuolo Sassuolo 22.00 43.000 3.0 \n",
- "Torino Torino 20.00 53.700 3.0 \n",
- "Udinese Udinese 18.00 46.700 3.0 \n",
- "Avg Avg 19.95 49.995 3.0 \n",
+ "Atalanta Atalanta 23.00 49.500 4.0 \n",
+ "Bologna Bologna 22.00 56.500 4.0 \n",
+ "Cagliari Cagliari 21.00 37.800 4.0 \n",
+ "Empoli Empoli 27.00 47.800 4.0 \n",
+ "Fiorentina Fiorentina 22.00 61.000 4.0 \n",
+ "Frosinone Frosinone 23.00 48.300 4.0 \n",
+ "Genoa Genoa 19.00 33.300 4.0 \n",
+ "Verona Hellas Verona 21.00 43.500 4.0 \n",
+ "Inter Inter 19.00 48.800 4.0 \n",
+ "Juventus Juventus 21.00 48.800 4.0 \n",
+ "Lazio Lazio 20.00 56.000 4.0 \n",
+ "Lecce Lecce 19.00 43.500 4.0 \n",
+ "Milan Milan 19.00 55.300 4.0 \n",
+ "Monza Monza 22.00 56.800 4.0 \n",
+ "Napoli Napoli 19.00 61.800 4.0 \n",
+ "Roma Roma 23.00 57.000 4.0 \n",
+ "Salernitana Salernitana 21.00 51.500 4.0 \n",
+ "Sassuolo Sassuolo 24.00 43.500 4.0 \n",
+ "Torino Torino 22.00 51.300 4.0 \n",
+ "Udinese Udinese 22.00 48.500 4.0 \n",
+ "Avg Avg 21.45 50.025 4.0 \n",
"\n",
" team_games_starts team_minutes team_goals team_assists \\\n",
- "Atalanta 33.0 270.0 6.00 6.00 \n",
- "Bologna 33.0 270.0 3.00 2.00 \n",
- "Cagliari 33.0 270.0 1.00 1.00 \n",
- "Empoli 33.0 270.0 0.00 0.00 \n",
- "Fiorentina 33.0 270.0 6.00 5.00 \n",
- "Frosinone 33.0 270.0 3.00 2.00 \n",
- "Genoa 33.0 270.0 2.00 1.00 \n",
- "Verona 33.0 270.0 4.00 2.00 \n",
- "Inter 33.0 270.0 8.00 7.00 \n",
- "Juventus 33.0 270.0 6.00 4.00 \n",
- "Lazio 33.0 270.0 3.00 3.00 \n",
- "Lecce 33.0 270.0 6.00 5.00 \n",
- "Milan 33.0 270.0 8.00 5.00 \n",
- "Monza 33.0 270.0 2.00 2.00 \n",
- "Napoli 33.0 270.0 6.00 3.00 \n",
- "Roma 33.0 270.0 4.00 3.00 \n",
- "Salernitana 33.0 270.0 3.00 3.00 \n",
- "Sassuolo 33.0 270.0 3.00 2.00 \n",
- "Torino 33.0 270.0 2.00 2.00 \n",
- "Udinese 33.0 270.0 1.00 1.00 \n",
- "Avg 33.0 270.0 3.85 2.95 \n",
+ "Atalanta 44.0 360.0 8.00 8.00 \n",
+ "Bologna 44.0 360.0 3.00 2.00 \n",
+ "Cagliari 44.0 360.0 1.00 1.00 \n",
+ "Empoli 44.0 360.0 0.00 0.00 \n",
+ "Fiorentina 44.0 360.0 9.00 7.00 \n",
+ "Frosinone 44.0 360.0 7.00 4.00 \n",
+ "Genoa 44.0 360.0 4.00 3.00 \n",
+ "Verona 44.0 360.0 4.00 2.00 \n",
+ "Inter 44.0 360.0 13.00 11.00 \n",
+ "Juventus 44.0 360.0 9.00 7.00 \n",
+ "Lazio 44.0 360.0 4.00 4.00 \n",
+ "Lecce 44.0 360.0 7.00 5.00 \n",
+ "Milan 44.0 360.0 9.00 6.00 \n",
+ "Monza 44.0 360.0 3.00 3.00 \n",
+ "Napoli 44.0 360.0 8.00 5.00 \n",
+ "Roma 44.0 360.0 10.00 8.00 \n",
+ "Salernitana 44.0 360.0 3.00 3.00 \n",
+ "Sassuolo 44.0 360.0 5.00 4.00 \n",
+ "Torino 44.0 360.0 5.00 3.00 \n",
+ "Udinese 44.0 360.0 1.00 1.00 \n",
+ "Avg 44.0 360.0 5.65 4.35 \n",
"\n",
" team_pens_made team_pens_att ... vs_team_fouls \\\n",
- "Atalanta 0.00 0.0 ... 28.00 \n",
- "Bologna 0.00 1.0 ... 32.00 \n",
- "Cagliari 0.00 0.0 ... 27.00 \n",
- "Empoli 0.00 0.0 ... 45.00 \n",
- "Fiorentina 0.00 0.0 ... 42.00 \n",
- "Frosinone 1.00 1.0 ... 41.00 \n",
- "Genoa 0.00 0.0 ... 35.00 \n",
- "Verona 0.00 0.0 ... 37.00 \n",
- "Inter 1.00 1.0 ... 34.00 \n",
- "Juventus 1.00 2.0 ... 39.00 \n",
- "Lazio 0.00 0.0 ... 36.00 \n",
- "Lecce 1.00 1.0 ... 47.00 \n",
- "Milan 3.00 3.0 ... 40.00 \n",
- "Monza 0.00 0.0 ... 26.00 \n",
- "Napoli 1.00 2.0 ... 33.00 \n",
- "Roma 0.00 0.0 ... 41.00 \n",
- "Salernitana 0.00 0.0 ... 48.00 \n",
- "Sassuolo 1.00 1.0 ... 35.00 \n",
- "Torino 0.00 0.0 ... 32.00 \n",
- "Udinese 0.00 0.0 ... 31.00 \n",
- "Avg 0.45 0.6 ... 36.45 \n",
+ "Atalanta 0.00 0.0 ... 36.0 \n",
+ "Bologna 0.00 1.0 ... 50.0 \n",
+ "Cagliari 0.00 0.0 ... 38.0 \n",
+ "Empoli 0.00 0.0 ... 60.0 \n",
+ "Fiorentina 0.00 0.0 ... 56.0 \n",
+ "Frosinone 2.00 2.0 ... 50.0 \n",
+ "Genoa 0.00 0.0 ... 43.0 \n",
+ "Verona 0.00 0.0 ... 47.0 \n",
+ "Inter 2.00 2.0 ... 47.0 \n",
+ "Juventus 1.00 2.0 ... 52.0 \n",
+ "Lazio 0.00 0.0 ... 49.0 \n",
+ "Lecce 2.00 2.0 ... 64.0 \n",
+ "Milan 3.00 3.0 ... 56.0 \n",
+ "Monza 0.00 0.0 ... 37.0 \n",
+ "Napoli 1.00 2.0 ... 47.0 \n",
+ "Roma 1.00 1.0 ... 46.0 \n",
+ "Salernitana 0.00 0.0 ... 64.0 \n",
+ "Sassuolo 1.00 1.0 ... 45.0 \n",
+ "Torino 0.00 0.0 ... 44.0 \n",
+ "Udinese 0.00 0.0 ... 43.0 \n",
+ "Avg 0.65 0.8 ... 48.7 \n",
"\n",
" vs_team_fouled vs_team_offsides vs_team_pens_won \\\n",
- "Atalanta 33.00 2.00 0.00 \n",
- "Bologna 30.00 7.00 0.00 \n",
- "Cagliari 29.00 4.00 0.00 \n",
- "Empoli 38.00 6.00 1.00 \n",
- "Fiorentina 36.00 3.00 1.00 \n",
- "Frosinone 31.00 4.00 0.00 \n",
- "Genoa 31.00 6.00 0.00 \n",
- "Verona 47.00 6.00 1.00 \n",
- "Inter 30.00 3.00 0.00 \n",
- "Juventus 36.00 5.00 0.00 \n",
- "Lazio 31.00 6.00 0.00 \n",
- "Lecce 43.00 4.00 0.00 \n",
- "Milan 31.00 5.00 0.00 \n",
- "Monza 35.00 6.00 0.00 \n",
- "Napoli 33.00 6.00 1.00 \n",
- "Roma 36.00 2.00 1.00 \n",
- "Salernitana 34.00 2.00 0.00 \n",
- "Sassuolo 25.00 10.00 1.00 \n",
- "Torino 33.00 5.00 1.00 \n",
- "Udinese 41.00 7.00 0.00 \n",
- "Avg 34.15 4.95 0.35 \n",
+ "Atalanta 47.0 2.0 0.0 \n",
+ "Bologna 40.0 12.0 0.0 \n",
+ "Cagliari 41.0 5.0 0.0 \n",
+ "Empoli 42.0 8.0 1.0 \n",
+ "Fiorentina 43.0 5.0 1.0 \n",
+ "Frosinone 39.0 6.0 0.0 \n",
+ "Genoa 43.0 9.0 0.0 \n",
+ "Verona 63.0 7.0 1.0 \n",
+ "Inter 44.0 5.0 0.0 \n",
+ "Juventus 49.0 5.0 0.0 \n",
+ "Lazio 44.0 7.0 0.0 \n",
+ "Lecce 53.0 5.0 0.0 \n",
+ "Milan 43.0 7.0 1.0 \n",
+ "Monza 52.0 6.0 1.0 \n",
+ "Napoli 39.0 7.0 1.0 \n",
+ "Roma 51.0 4.0 1.0 \n",
+ "Salernitana 46.0 4.0 0.0 \n",
+ "Sassuolo 34.0 15.0 2.0 \n",
+ "Torino 48.0 7.0 1.0 \n",
+ "Udinese 51.0 10.0 0.0 \n",
+ "Avg 45.6 6.8 0.5 \n",
"\n",
" vs_team_pens_conceded vs_team_own_goals \\\n",
- "Atalanta 0.0 0.0 \n",
- "Bologna 1.0 0.0 \n",
- "Cagliari 0.0 0.0 \n",
- "Empoli 0.0 0.0 \n",
- "Fiorentina 0.0 0.0 \n",
- "Frosinone 1.0 0.0 \n",
- "Genoa 0.0 0.0 \n",
- "Verona 0.0 0.0 \n",
- "Inter 1.0 0.0 \n",
- "Juventus 2.0 0.0 \n",
- "Lazio 0.0 0.0 \n",
- "Lecce 1.0 0.0 \n",
- "Milan 3.0 0.0 \n",
- "Monza 0.0 0.0 \n",
- "Napoli 2.0 0.0 \n",
- "Roma 0.0 0.0 \n",
- "Salernitana 0.0 0.0 \n",
- "Sassuolo 1.0 0.0 \n",
- "Torino 0.0 0.0 \n",
- "Udinese 0.0 0.0 \n",
- "Avg 0.6 0.0 \n",
+ "Atalanta 0.0 0.00 \n",
+ "Bologna 1.0 0.00 \n",
+ "Cagliari 0.0 0.00 \n",
+ "Empoli 0.0 0.00 \n",
+ "Fiorentina 0.0 0.00 \n",
+ "Frosinone 2.0 0.00 \n",
+ "Genoa 0.0 0.00 \n",
+ "Verona 0.0 0.00 \n",
+ "Inter 2.0 0.00 \n",
+ "Juventus 2.0 0.00 \n",
+ "Lazio 0.0 0.00 \n",
+ "Lecce 2.0 0.00 \n",
+ "Milan 3.0 0.00 \n",
+ "Monza 0.0 0.00 \n",
+ "Napoli 2.0 0.00 \n",
+ "Roma 1.0 1.00 \n",
+ "Salernitana 0.0 0.00 \n",
+ "Sassuolo 1.0 0.00 \n",
+ "Torino 0.0 0.00 \n",
+ "Udinese 0.0 0.00 \n",
+ "Avg 0.8 0.05 \n",
"\n",
" vs_team_ball_recoveries vs_team_aerials_won \\\n",
- "Atalanta 157.00 44.0 \n",
- "Bologna 157.00 23.0 \n",
- "Cagliari 165.00 44.0 \n",
- "Empoli 152.00 42.0 \n",
- "Fiorentina 142.00 38.0 \n",
- "Frosinone 168.00 46.0 \n",
- "Genoa 148.00 32.0 \n",
- "Verona 138.00 54.0 \n",
- "Inter 128.00 24.0 \n",
- "Juventus 134.00 22.0 \n",
- "Lazio 155.00 39.0 \n",
- "Lecce 150.00 33.0 \n",
- "Milan 145.00 34.0 \n",
- "Monza 144.00 37.0 \n",
- "Napoli 124.00 19.0 \n",
- "Roma 114.00 45.0 \n",
- "Salernitana 151.00 68.0 \n",
- "Sassuolo 159.00 40.0 \n",
- "Torino 151.00 46.0 \n",
- "Udinese 137.00 38.0 \n",
- "Avg 145.95 38.4 \n",
+ "Atalanta 212.00 65.0 \n",
+ "Bologna 207.00 34.0 \n",
+ "Cagliari 220.00 60.0 \n",
+ "Empoli 203.00 54.0 \n",
+ "Fiorentina 202.00 56.0 \n",
+ "Frosinone 212.00 53.0 \n",
+ "Genoa 200.00 46.0 \n",
+ "Verona 190.00 71.0 \n",
+ "Inter 163.00 30.0 \n",
+ "Juventus 173.00 26.0 \n",
+ "Lazio 196.00 51.0 \n",
+ "Lecce 203.00 43.0 \n",
+ "Milan 176.00 42.0 \n",
+ "Monza 187.00 45.0 \n",
+ "Napoli 173.00 35.0 \n",
+ "Roma 159.00 54.0 \n",
+ "Salernitana 203.00 86.0 \n",
+ "Sassuolo 207.00 50.0 \n",
+ "Torino 207.00 63.0 \n",
+ "Udinese 188.00 52.0 \n",
+ "Avg 194.05 50.8 \n",
"\n",
" vs_team_aerials_lost vs_team_aerials_won_pct \n",
- "Atalanta 42.0 51.20 \n",
- "Bologna 29.0 44.20 \n",
- "Cagliari 37.0 54.30 \n",
- "Empoli 30.0 58.30 \n",
- "Fiorentina 32.0 54.30 \n",
- "Frosinone 42.0 52.30 \n",
- "Genoa 44.0 42.10 \n",
- "Verona 71.0 43.20 \n",
- "Inter 36.0 40.00 \n",
- "Juventus 26.0 45.80 \n",
- "Lazio 26.0 60.00 \n",
- "Lecce 46.0 41.80 \n",
- "Milan 27.0 55.70 \n",
- "Monza 27.0 57.80 \n",
- "Napoli 33.0 36.50 \n",
- "Roma 64.0 41.30 \n",
- "Salernitana 37.0 64.80 \n",
- "Sassuolo 30.0 57.10 \n",
- "Torino 41.0 52.90 \n",
- "Udinese 48.0 44.20 \n",
- "Avg 38.4 49.89 \n",
+ "Atalanta 60.0 52.00 \n",
+ "Bologna 46.0 42.50 \n",
+ "Cagliari 51.0 54.10 \n",
+ "Empoli 39.0 58.10 \n",
+ "Fiorentina 53.0 51.40 \n",
+ "Frosinone 52.0 50.50 \n",
+ "Genoa 60.0 43.40 \n",
+ "Verona 82.0 46.40 \n",
+ "Inter 44.0 40.50 \n",
+ "Juventus 38.0 40.60 \n",
+ "Lazio 30.0 63.00 \n",
+ "Lecce 54.0 44.30 \n",
+ "Milan 33.0 56.00 \n",
+ "Monza 37.0 54.90 \n",
+ "Napoli 47.0 42.70 \n",
+ "Roma 76.0 41.50 \n",
+ "Salernitana 54.0 61.40 \n",
+ "Sassuolo 37.0 57.50 \n",
+ "Torino 59.0 51.60 \n",
+ "Udinese 64.0 44.80 \n",
+ "Avg 50.8 49.86 \n",
"\n",
"[21 rows x 303 columns]"
]
},
- "execution_count": 9,
+ "execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
@@ -1667,7 +1667,7 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 8,
"id": "32f56138",
"metadata": {},
"outputs": [],
@@ -1813,7 +1813,7 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 9,
"id": "4001f3f8",
"metadata": {},
"outputs": [],
@@ -1926,7 +1926,7 @@
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 10,
"id": "f4017b2f",
"metadata": {},
"outputs": [],
@@ -2005,7 +2005,7 @@
},
{
"cell_type": "code",
- "execution_count": 73,
+ "execution_count": 11,
"id": "3223cfe3",
"metadata": {},
"outputs": [
@@ -3610,7 +3610,7 @@
"[52 rows x 384 columns]"
]
},
- "execution_count": 73,
+ "execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
@@ -3639,7 +3639,7 @@
},
{
"cell_type": "code",
- "execution_count": 76,
+ "execution_count": 41,
"id": "6f8707b8",
"metadata": {},
"outputs": [
@@ -3649,26 +3649,25 @@
"text": [
" \n",
"Averaging players stats with past seasons:\n",
- "Maignan 0.7972027972027971\n",
- "Meret 0.5158371040723981\n",
- "Szczesny 0.20879120879120883\n",
- "Provedel 0.46153846153846145\n",
- "Rui Patricio 0.501098901098901\n",
+ "Szczesny 0.41758241758241765\n",
+ "Meret 0.6877828054298643\n",
+ "Provedel 0.6153846153846154\n",
+ "Maignan 1\n",
+ "Rui Patricio 0.6681318681318682\n",
+ "Skorupski 0.632016632016632\n",
+ "Milinkovic-Savic V. 0.6153846153846154\n",
"Di Gregorio 0.47401247401247393\n",
- "Skorupski 0.47401247401247393\n",
- "Milinkovic-Savic V. 0.46153846153846145\n",
- "Terracciano 0.20159151193633953\n",
- "Carnesecchi 0.6820512820512821\n",
- "Falcone 0.46153846153846145\n",
- "Silvestri 0.46153846153846145\n",
- "Ochoa 0.8769230769230768\n",
- "Montipo' 0.47401247401247393\n",
+ "Falcone 0.6153846153846154\n",
+ "Silvestri 0.6153846153846154\n",
+ "Terracciano 0.40318302387267907\n",
+ "Carnesecchi 0.22735042735042738\n",
+ "Montipo' 0.632016632016632\n",
+ "Ochoa 1\n",
"Consigli 0.501098901098901\n",
"Musso 0.7307692307692307\n",
+ "Cragno 1\n",
"Perin 1\n",
"Berisha 1\n",
- "Cragno 1\n",
- "Cerofolini 1\n",
"Sportiello 1\n",
"Mirante 1\n",
"Sepe 1\n",
@@ -3678,9 +3677,10 @@
"Padelli 1\n",
"Gollini 1\n",
"Perisan 0.8351648351648353\n",
- "Audero 0.7366153846153846\n",
+ "Audero 0.9821538461538462\n",
"Pinsoglio 1\n",
"Fiorillo 1\n",
+ "Cerofolini 1\n",
"Rossi F. 1\n",
"Ravaglia F. 1\n",
"Brancolini 1\n",
@@ -3690,297 +3690,298 @@
"Bagnolini 1\n",
"Svilar 1\n",
"Sorrentino A. 1\n",
- "Dimarco 0.2657342657342657\n",
- "Di Lorenzo 0.23700623700623696\n",
- "Hernandez T. 0.2740384615384615\n",
- "Carlos Augusto 0.2630769230769231\n",
- "Danilo 0.23700623700623696\n",
- "Zappacosta 0.4175824175824175\n",
- "Schuurs 0.29230769230769227\n",
- "Posch 0.29230769230769227\n",
- "Bastoni 0.3023872679045092\n",
- "Pavard 0.0 (rookie)\n",
+ "Dimarco 0.3543123543123543\n",
+ "Di Lorenzo 0.316008316008316\n",
+ "Hernandez T. 0.3653846153846154\n",
+ "Carlos Augusto 0.3507692307692308\n",
+ "Danilo 0.316008316008316\n",
+ "Zappacosta 0.5567765567765568\n",
+ "Schuurs 0.38974358974358975\n",
+ "Posch 0.38974358974358975\n",
+ "Bastoni 0.40318302387267907\n",
"Smalling 0.2740384615384615\n",
+ "Dumfries 0.3438914027149321\n",
+ "Romagnoli 0.3438914027149321\n",
+ "Pavard 0.0 (rookie)\n",
"Rrahmani 0.3023872679045092\n",
- "Dumfries 0.25791855203619907\n",
- "Romagnoli 0.25791855203619907\n",
- "Bremer 0.29230769230769227\n",
+ "Spinazzola 0.44970414201183434\n",
+ "Buongiorno 0.3438914027149321\n",
+ "Bremer 0.38974358974358975\n",
"Tomori 0.2657342657342657\n",
- "Spinazzola 0.3372781065088757\n",
- "Darmian 0.2828784119106699\n",
- "Biraghi 0.17715617715617715\n",
+ "Biraghi 0.2657342657342657\n",
+ "Mancini 0.3340659340659341\n",
+ "Darmian 0.3771712158808933\n",
"Bakker 0.21923076923076926 (rookie)\n",
- "Mazzocchi 0.32478632478632474\n",
- "Baschirotto 0.23700623700623696\n",
- "Doig 0.39860139860139854\n",
- "Thiaw 0.4384615384615384\n",
- "Mario Rui 0.26573426573426573\n",
- "Calabria 0.35076923076923067\n",
- "Acerbi 0.0\n",
+ "Mazzocchi 0.4330484330484331\n",
+ "Doig 0.5314685314685315\n",
+ "Calabria 0.4676923076923077\n",
+ "Acerbi 0.09429280397022333\n",
"Cuadrado 0.29702233250620347\n",
- "Milenkovic 0.32478632478632474\n",
- "Mancini 0.2505494505494505\n",
- "Buongiorno 0.25791855203619907\n",
"Ebuehi 0.22485207100591717\n",
- "Casale 0.20159151193633953\n",
- "Scalvini 0.2740384615384615\n",
+ "Casale 0.3023872679045092\n",
"Holm 0.15346153846153848\n",
- "Faraoni 0.25418060200668896\n",
- "Kolasinac 0.279020979020979 (rookie)\n",
- "Perez N. 0.25791855203619907\n",
- "Bijol 0.2740384615384615\n",
- "De Vrij 0.32478632478632474\n",
- "Toloi 0.0\n",
- "Djimsiti 0.36538461538461536\n",
- "Rodriguez R. 0.2505494505494505\n",
- "Martin 0.32884615384615384 (rookie)\n",
- "N'dicka 0.0 (rookie)\n",
- "Kyriakopoulos 0.2557692307692308\n",
- "Mari' 0.29230769230769227\n",
- "Bastoni S. 0.0\n",
+ "Baschirotto 0.316008316008316\n",
+ "Bijol 0.3653846153846154\n",
+ "Thiaw 0.5846153846153846\n",
+ "Mario Rui 0.39860139860139854\n",
+ "Milenkovic 0.4330484330484331\n",
+ "Rodriguez R. 0.3340659340659341\n",
+ "Kolasinac 0.37202797202797205 (rookie)\n",
+ "N'dicka 0.10230769230769231 (rookie)\n",
+ "Scalvini 0.3653846153846154\n",
+ "Perez N. 0.3438914027149321\n",
"Kristensen 0.0 (rookie)\n",
- "Hysaj 0.08597285067873303\n",
- "Izzo 0.19487179487179487\n",
+ "Izzo 0.29230769230769227\n",
+ "De Vrij 0.4330484330484331\n",
+ "Faraoni 0.38127090301003336\n",
+ "Toloi 0.09134615384615385\n",
+ "Kyriakopoulos 0.5115384615384616\n",
+ "Bellanova 0.6820512820512822\n",
+ "Mari' 0.38974358974358975\n",
+ "Dodo' 0.3543123543123543\n",
+ "Lucumi' 0.3543123543123543\n",
+ "Hien 0.1826923076923077\n",
+ "Hysaj 0.17194570135746606\n",
"D'ambrosio 0.40923076923076923\n",
- "Luperto 0.24358974358974356\n",
- "Marusic 0.2657342657342657\n",
+ "Luperto 0.3247863247863248\n",
+ "Djimsiti 0.36538461538461536\n",
+ "Marusic 0.3543123543123543\n",
+ "Martin 0.4384615384615385 (rookie)\n",
"Mina 0.0 (rookie)\n",
- "Bellanova 0.5115384615384616\n",
- "Caldirola 0.2828784119106699\n",
- "Kalulu 0.17194570135746606\n",
- "Parisi 0.09300699300699301\n",
- "Cambiaso 0.28774038461538465\n",
- "Bradaric 0.2828784119106699\n",
- "Olivera 0.29230769230769227\n",
- "Dodo' 0.2657342657342657\n",
- "Lucumi' 0.2657342657342657\n",
- "Hien 0.09134615384615385\n",
- "Kristiansen 0.2557692307692308 (rookie)\n",
- "Pedersen 0.2116710875331565 (rookie)\n",
- "Romagnoli S. 1\n",
- "Romagnoli S. 0.4846153846153846 (two seasons ago)\n",
- "Juan Jesus 0.5846153846153845\n",
- "Gyomber 0.32478632478632474\n",
+ "Toljan 0.3771712158808933\n",
+ "Llorente D. 1\n",
+ "Martinez Quarta 0.21652421652421655\n",
+ "Bastoni S. 0.16153846153846155\n",
+ "Dragusin 0.3230769230769231 (rookie)\n",
+ "Parisi 0.18601398601398603\n",
+ "Bradaric 0.3771712158808933\n",
+ "Olivera 0.38974358974358975\n",
+ "Gendrey 0.316008316008316\n",
+ "Kristiansen 0.5115384615384616 (rookie)\n",
+ "Beukema 0.47218934911242605 (rookie)\n",
+ "Dossena 0.5337792642140469 (rookie)\n",
+ "Pedersen 0.3175066312997347 (rookie)\n",
+ "Juan Jesus 0.7794871794871795\n",
+ "Gyomber 0.4330484330484331\n",
"Alex Sandro 0.23384615384615384\n",
"Hateboer 0.0\n",
"Palomino 0.19487179487179487\n",
- "Marchizza 0.9207692307692308\n",
- "Marchizza 0.574207100591716 (two seasons ago)\n",
- "Lazzari 0.20879120879120883\n",
- "Toljan 0.2828784119106699\n",
- "Zappa 0.35076923076923067 (two seasons ago)\n",
- "Gallo 0.2740384615384615\n",
- "Erlic 0.31318681318681313\n",
+ "Marchizza 1\n",
+ "Marchizza 0.6461538461538462 (two seasons ago)\n",
+ "Zappa 0.4676923076923077 (two seasons ago)\n",
+ "Gallo 0.3653846153846154\n",
+ "Caldirola 0.3771712158808933\n",
+ "Kalulu 0.17194570135746606\n",
+ "Erlic 0.41758241758241765\n",
"Vojvoda 0.3023872679045092\n",
- "Llorente D. 0.9743589743589742\n",
- "Dragusin 0.2423076923076923 (rookie)\n",
- "Vasquez 0.3683076923076923\n",
+ "Vasquez 0.4910769230769231\n",
+ "Cambiaso 0.3836538461538462\n",
+ "Pongracic 1\n",
"Viti 0.3410256410256411 (rookie)\n",
- "Gatti 0.1623931623931624\n",
- "Birindelli 0.2828784119106699\n",
- "Gendrey 0.23700623700623696\n",
- "Beukema 0.35414201183431954 (rookie)\n",
- "Dossena 0.4003344481605351 (rookie)\n",
- "Azzi 0.5754807692307693 (rookie)\n",
+ "Gatti 0.3247863247863248\n",
+ "Birindelli 0.3771712158808933\n",
+ "Azzi 0.7673076923076924 (rookie)\n",
"Masina 0.0\n",
- "Pezzella Giu. 0.5754807692307693\n",
- "Sabelli 0.20461538461538462 (rookie)\n",
- "Lykogiannis 0.2783882783882784\n",
+ "Romagnoli S. 1\n",
+ "Romagnoli S. 0.6461538461538462 (two seasons ago)\n",
+ "Pezzella Giu. 0.7673076923076924\n",
+ "Sabelli 0.3069230769230769 (rookie)\n",
+ "Lazzari 0.20879120879120883\n",
+ "Bani 0.37202797202797205 (rookie)\n",
"Djidji 0.0\n",
+ "Lazaro 0.38127090301003336\n",
+ "Augello 0.24885654885654884\n",
+ "Zortea 0.9207692307692308\n",
+ "Zortea 0.3762046521118139 (two seasons ago)\n",
+ "Dawidowicz 0.5083612040133779\n",
+ "Pirola 0.3372781065088757\n",
+ "Lovato 0.6877828054298643\n",
+ "Ruggeri 0.7794871794871795\n",
+ "Vina 0.47218934911242605 (two seasons ago)\n",
+ "Obert 1 (two seasons ago)\n",
+ "Terracciano F. 0.5846153846153846\n",
+ "Ebosele 0.6877828054298643\n",
+ "Patric 0.1623931623931624\n",
+ "Lykogiannis 0.2783882783882784\n",
+ "Pellegrini Lu. 1\n",
+ "Pellegrini Lu. 0.6820512820512822 (two seasons ago)\n",
+ "Magnani 0.4871794871794872\n",
"Ranieri L. 0.6495726495726496\n",
"Ranieri L. 0.5061947549127037 (two seasons ago)\n",
- "Augello 0.1659043659043659\n",
- "Zortea 0.6138461538461539\n",
- "Zortea 0.5386215058151396 (two seasons ago)\n",
- "Dawidowicz 0.38127090301003336\n",
- "Pirola 0.22485207100591717\n",
- "Lovato 0.5158371040723981\n",
- "Monterisi 0.837062937062937 (rookie)\n",
- "Ismajli 0.23384615384615384\n",
- "Martinez Quarta 0.10826210826210828\n",
- "Ruggeri 0.5846153846153845\n",
- "Pongracic 0.9743589743589742\n",
- "Obert 0.9743589743589745 (two seasons ago)\n",
- "Ebosele 0.5158371040723981\n",
- "Patric 0.1623931623931624\n",
- "Pellegrini Lu. 1\n",
- "Pellegrini Lu. 0.5115384615384616 (two seasons ago)\n",
- "Lazaro 0.25418060200668896\n",
- "Calafiori 0.0 (two seasons ago)\n",
- "Vina 0.35414201183431954 (two seasons ago)\n",
- "Terracciano F. 0.4384615384615384\n",
+ "Calafiori 1 (two seasons ago)\n",
+ "Monterisi 1 (rookie)\n",
+ "Ismajli 0.35076923076923067\n",
+ "De Winter 0.21923076923076926\n",
"Ehizibue 0.0\n",
- "Goldaniga 0.26573426573426573 (two seasons ago)\n",
"Ferrari G. 0.0\n",
- "Bereszynski 1\n",
- "Bereszynski 0.0876923076923077 (two seasons ago)\n",
"Venuti 0.0\n",
"Karsdorp 0.44970414201183434\n",
- "Bani 0.279020979020979 (rookie)\n",
- "Kjaer 0.3438914027149321\n",
+ "Kjaer 0.5158371040723981\n",
"Gunter 0.0\n",
- "Magnani 0.36538461538461536\n",
"Soumaoro 0.0\n",
"Zanoli 0.0\n",
"Zima 0.3247863247863248\n",
"Hefti 0.548076923076923 (two seasons ago)\n",
- "Ostigard 0.8351648351648353\n",
+ "Ostigard 1\n",
"Ostigard 1 (two seasons ago)\n",
"Sambia 0.13286713286713286\n",
"Rugani 0.0\n",
"De Sciglio 0.0\n",
- "Florenzi 0.4871794871794872\n",
- "Florenzi 0.4340894148586456 (two seasons ago)\n",
- "Fazio 0.20879120879120883\n",
+ "Goldaniga 0.26573426573426573 (two seasons ago)\n",
+ "Florenzi 0.9743589743589745\n",
+ "Florenzi 0.2560815253122945 (two seasons ago)\n",
+ "De Silvestri 0.38974358974358975\n",
+ "Fazio 0.41758241758241765\n",
+ "Bereszynski 1\n",
+ "Bereszynski 0.1753846153846154 (two seasons ago)\n",
"Bonifazi 0.0\n",
- "Walukiewicz 0.26573426573426573\n",
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+ "Okoli 0.18054298642533936\n",
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"Celik 0.1217948717948718\n",
"Amione 0.11804733727810651\n",
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+ "Soppy 0.20461538461538462\n",
"Haps 0.0 (two seasons ago)\n",
- "De Winter 0.0\n",
"Coppola D. 0.3076923076923077\n",
"Cacace 0.4871794871794872\n",
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+ "Ebosse 0.14615384615384616\n",
+ "Guessand A. 1\n",
"Cabal 0.5314685314685315\n",
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"Tonelli 0.20879120879120883 (two seasons ago)\n",
- "De Silvestri 0.19487179487179487\n",
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"Amey 0.0\n",
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"Bronn 0.0\n",
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"Carboni F. 1\n",
- "Zaccagni 0.2505494505494505\n",
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- "Felipe Anderson 0.23076923076923073\n",
- "Luis Alberto 0.2505494505494505\n",
- "Rabiot 0.2740384615384615\n",
- "Zielinski 0.23700623700623696\n",
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- "Pulisic 0.3836538461538462 (rookie)\n",
- "Orsolini 0.2740384615384615\n",
- "Chukwueze 0.24885654885654884 (rookie)\n",
- "Strefezza 0.2505494505494505\n",
- "Ferguson 0.2740384615384615\n",
- "Candreva 0.2505494505494505\n",
- "Calhanoglu 0.2657342657342657\n",
- "Frattesi 0.2557692307692308\n",
- "Samardzic 0.23700623700623696\n",
+ "Zaccagni 0.3340659340659341\n",
+ "Koopmeiners 0.3543123543123543\n",
+ "Luis Alberto 0.3340659340659341\n",
+ "Felipe Anderson 0.3076923076923077\n",
+ "Rabiot 0.3653846153846154\n",
+ "Zielinski 0.316008316008316\n",
+ "Barella 0.3340659340659341\n",
+ "Pulisic 0.5115384615384616 (rookie)\n",
+ "Orsolini 0.3653846153846154\n",
+ "Calhanoglu 0.3543123543123543\n",
+ "Strefezza 0.3340659340659341\n",
+ "Chukwueze 0.3318087318087318 (rookie)\n",
+ "Ferguson 0.3653846153846154\n",
+ "Candreva 0.3340659340659341\n",
+ "Frattesi 0.3410256410256411\n",
+ "Samardzic 0.316008316008316\n",
"Vlasic 0.25791855203619907\n",
- "El Shaarawy 0.3023872679045092\n",
+ "Bonaventura 0.38974358974358975\n",
+ "Politano 0.4330484330484331\n",
+ "El Shaarawy 0.40318302387267907\n",
+ "Mkhitaryan 0.3771712158808933\n",
"Aouar 0.5754807692307693 (rookie)\n",
- "Bonaventura 0.29230769230769227\n",
+ "Malinovskyi 0.3069230769230769 (two seasons ago)\n",
+ "Gudmundsson A. 0.3410256410256411 (rookie)\n",
+ "Kamada 0.3836538461538462 (rookie)\n",
"Pellegrini Lo. 0.1826923076923077\n",
- "Politano 0.32478632478632474\n",
- "Malinovskyi 0.20461538461538462 (two seasons ago)\n",
- "Lovric 0.23700623700623696\n",
- "Kamada 0.28774038461538465 (rookie)\n",
+ "Kostic 0.158004158004158\n",
+ "Radonjic 0.41758241758241765\n",
+ "Baldanzi 0.44970414201183434\n",
+ "Lovric 0.316008316008316\n",
"Lindstrom 0.0 (rookie)\n",
- "Lazovic 0.0\n",
- "Loftus-Cheek 0.3683076923076923 (rookie)\n",
- "Zambo Anguissa 0.24358974358974356\n",
- "Elmas 0.1623931623931624\n",
- "Kostic 0.079002079002079\n",
- "Gudmundsson A. 0.2557692307692308 (rookie)\n",
- "Baldanzi 0.3372781065088757\n",
- "Ciurria 0.24358974358974356\n",
- "Pasalic 0.09134615384615385\n",
- "Mkhitaryan 0.2828784119106699\n",
- "Pessina 0.2505494505494505\n",
- "Guendouzi 0.09300699300699301 (rookie)\n",
- "Lobotka 0.23076923076923073\n",
- "Bajrami 0.4871794871794871\n",
- "Ricci S. 0.31318681318681313\n",
- "Reijnders 0.27081447963800903 (rookie)\n",
+ "Lazovic 0.09743589743589744\n",
+ "Pereyra 0.08597285067873303\n",
+ "Renato Sanches 0.26688963210702343 (rookie)\n",
+ "Pessina 0.3340659340659341\n",
+ "Guendouzi 0.18601398601398603 (rookie)\n",
+ "Loftus-Cheek 0.4910769230769231 (rookie)\n",
+ "Zambo Anguissa 0.3247863247863248\n",
+ "Elmas 0.24358974358974356\n",
+ "Bajrami 0.6495726495726496\n",
+ "Ricci S. 0.41758241758241765\n",
+ "Colpani 0.4330484330484331\n",
+ "Ciurria 0.3247863247863248\n",
+ "De Roon 0.3340659340659341\n",
"Pogba 0.9743589743589745\n",
- "Renato Sanches 0.13344481605351172 (rookie)\n",
- "Fagioli 0.22485207100591717\n",
+ "Cristante 0.3247863247863248\n",
+ "Locatelli 0.3653846153846154\n",
+ "Pasalic 0.1826923076923077\n",
+ "Lobotka 0.3076923076923077\n",
+ "Fagioli 0.3372781065088757\n",
"Ikone' 0.0\n",
"Ilic 0.6263736263736263\n",
- "Radonjic 0.31318681318681313\n",
- "Ederson D.s. 0.2505494505494505\n",
- "Colpani 0.32478632478632474\n",
- "De Roon 0.2505494505494505\n",
- "Locatelli 0.2740384615384615\n",
- "Barak 0.0\n",
+ "Ederson D.s. 0.3340659340659341\n",
+ "Reijnders 0.3610859728506787 (rookie)\n",
+ "Barak 0.09743589743589744\n",
"Saponara 0.2116710875331565\n",
- "Cristante 0.24358974358974356\n",
- "Mandragora 0.3023872679045092\n",
- "Weah 0.3175066312997347 (rookie)\n",
+ "Mandragora 0.40318302387267907\n",
+ "Weah 0.423342175066313 (rookie)\n",
"Bennacer 0.0\n",
- "Klaassen 0.0 (rookie)\n",
+ "Duda 0.7794871794871795\n",
"Castrovilli 0.0\n",
- "Miranchuk 0.0\n",
- "Matheus Henrique 0.29230769230769227\n",
- "De Ketelaere 0.28774038461538465\n",
- "Cataldi 0.3023872679045092\n",
+ "Mckennie 0.5567765567765568 (two seasons ago)\n",
+ "Miranchuk 0.10583554376657825\n",
+ "Matheus Henrique 0.38974358974358975\n",
+ "De Ketelaere 0.3836538461538462\n",
+ "Paredes 0.4910769230769231\n",
"Sottil 0.4871794871794871\n",
- "Duda 0.5846153846153845\n",
- "Thorsby 0.2630769230769231 (two seasons ago)\n",
- "Nandez 0.279020979020979 (rookie)\n",
- "Tameze 0.08295218295218296\n",
+ "Klaassen 0.0 (rookie)\n",
+ "Thorsby 0.3507692307692308 (two seasons ago)\n",
+ "Nandez 0.37202797202797205 (rookie)\n",
+ "Tameze 0.1659043659043659\n",
"Marin 0.2657342657342657\n",
"Messias 0.0\n",
- "Mckennie 0.4175824175824175 (two seasons ago)\n",
- "Zalewski 0.2657342657342657\n",
"Coulibaly L. 0.08351648351648353\n",
- "Harroui 0.4003344481605351\n",
- "Krunic 0.38127090301003336\n",
- "Paredes 0.3683076923076923\n",
- "Freuler 0.0 (rookie)\n",
- "Gagliardini 0.4846153846153846\n",
- "Kastanos 0.31318681318681313\n",
- "Lopez M. 0.20461538461538462\n",
+ "Krunic 0.5083612040133779\n",
+ "Cataldi 0.40318302387267907\n",
+ "Strootman 0.3069230769230769 (rookie)\n",
+ "Duncan 0.35076923076923067\n",
+ "Freuler 0.10961538461538463 (rookie)\n",
+ "Gagliardini 0.6461538461538462\n",
+ "Kastanos 0.41758241758241765\n",
"Gyasi 0.2630769230769231\n",
- "Frendrup 0.24885654885654884 (rookie)\n",
- "Moro N. 0.3372781065088757\n",
+ "Zalewski 0.2657342657342657\n",
+ "Harroui 0.4003344481605351\n",
+ "Frendrup 0.3318087318087318 (rookie)\n",
+ "Blin 0.3340659340659341\n",
+ "Fabbian 0.2557692307692308 (rookie)\n",
"Vecino 0.1826923076923077\n",
- "Strootman 0.20461538461538462 (rookie)\n",
- "Duncan 0.23384615384615384\n",
- "Machin 0.0\n",
"Sensi 0.10961538461538463\n",
- "Linetty 0.2740384615384615\n",
- "Walace 0.23700623700623696\n",
- "Pobega 0.3076923076923077\n",
- "Bove 0.26573426573426573\n",
- "Aebischer 0.2740384615384615\n",
- "Thorstvedt 0.2828784119106699\n",
- "Blin 0.2505494505494505\n",
+ "Walace 0.316008316008316\n",
+ "Lopez M. 0.20461538461538462\n",
+ "Bove 0.39860139860139854\n",
+ "Aebischer 0.3653846153846154\n",
+ "Thorstvedt 0.3771712158808933\n",
"Gonzalez J. 0.2505494505494505\n",
+ "Moro N. 0.44970414201183434\n",
"Oudin 0.0\n",
- "Fabbian 0.17051282051282055 (rookie)\n",
- "Grassi 0.23384615384615384\n",
- "Badelj 0.25791855203619907 (two seasons ago)\n",
- "Castillejo 0.0 (rookie)\n",
- "Hongla 0.4871794871794871 (two seasons ago)\n",
- "Miretti 0.21652421652421655\n",
- "Fazzini 0.2783882783882784\n",
- "Makoumbou 0.2557692307692308 (rookie)\n",
- "Baez 0.5416289592760181 (rookie)\n",
- "Deiola 0.2657342657342657 (two seasons ago)\n",
+ "Makoumbou 0.3410256410256411 (rookie)\n",
+ "Badelj 0.3438914027149321 (two seasons ago)\n",
+ "Machin 0.0\n",
+ "Linetty 0.3653846153846154\n",
+ "Castillejo 0.12276923076923077 (rookie)\n",
+ "Rovella 0.12276923076923077\n",
+ "Pobega 0.3076923076923077\n",
+ "Hongla 0.6495726495726496 (two seasons ago)\n",
+ "Miretti 0.32478632478632474\n",
+ "Fazzini 0.4175824175824175\n",
+ "Grassi 0.35076923076923067\n",
+ "Baez 0.7221719457013575 (rookie)\n",
+ "Deiola 0.3543123543123543 (two seasons ago)\n",
"Bourabia 0.0\n",
- "Rovella 0.0\n",
"Saelemaekers 0.0\n",
"Maldini 0.0\n",
"Kovalenko 0.17051282051282055\n",
- "Maleh 0.18054298642533936\n",
- "Bohinen 0.2435897435897436\n",
+ "Maleh 0.3610859728506787\n",
+ "Bohinen 0.36538461538461536\n",
"Ranocchia F. 0.0\n",
- "Adopo 0.3410256410256411\n",
- "Maggiore 0.1826923076923077\n",
+ "Folorunsho 0.45470085470085475 (rookie)\n",
+ "Adopo 0.6820512820512822\n",
"Romero L. 0.0\n",
"Basic 0.0\n",
- "Asllani 0.14615384615384616\n",
+ "Asllani 0.2923076923076923\n",
"Sulemana I. 0.5754807692307693\n",
- "Folorunsho 0.34102564102564104 (rookie)\n",
"Gaetano 0.0\n",
"Obiang 0.0\n",
+ "Maggiore 0.1826923076923077\n",
"Akpa Akpro 0.0\n",
"Akpa Akpro 0.0 (two seasons ago)\n",
"Urbanski 1\n",
@@ -3988,139 +3989,140 @@
"Volpato 1 (two seasons ago)\n",
"Vignato S. 1\n",
"Hrustic 0.0\n",
- "Viola 0.0 (two seasons ago)\n",
- "Rog 0.0 (two seasons ago)\n",
- "Nicolussi Caviglia 0.0\n",
- "Demme 0.0\n",
- "Pafundi 0.0\n",
- "Adli 0.0\n",
- "Zerbin 0.0\n",
- "Carboni V. 1\n",
- "Faticanti 0.0\n",
- "Osimhen 0.2740384615384615\n",
- "Martinez L. 0.23076923076923073\n",
- "Rafael Leao 0.2505494505494505\n",
- "Immobile 0.2828784119106699\n",
- "Berardi 0.11242603550295859\n",
- "Lukaku 0.12276923076923077\n",
- "Kvaratskhelia 0.17194570135746606\n",
- "Dybala 0.11692307692307692\n",
- "Vlahovic 0.32478632478632474\n",
- "Giroud 0.2657342657342657\n",
- "Scamacca 0.2557692307692308 (two seasons ago)\n",
- "Dia 0.17715617715617715\n",
- "Thuram 0.3069230769230769 (rookie)\n",
- "Lookman 0.2828784119106699\n",
- "Sanabria 0.17715617715617715\n",
- "Arnautovic 0.4384615384615384\n",
- "Retegui 0.4384615384615384 (rookie)\n",
- "Nzola 0.29702233250620347\n",
- "Lauriente' 0.31318681318681313\n",
- "Zapata D. 0.12276923076923077\n",
- "Chiesa 0.4175824175824175\n",
- "Milik 0.32478632478632474\n",
- "Gonzalez N. 0.36538461538461536\n",
- "Beltran L. 0.3683076923076923 (rookie)\n",
- "Lapadula 0.0 (rookie)\n",
- "Caprari 0.23700623700623696\n",
- "Sanchez 0.0 (rookie)\n",
- "Abraham 0.0\n",
- "Caputo 0.4175824175824175\n",
- "Ngonge 0.6263736263736263\n",
- "Muriel 0.20159151193633953\n",
- "Pinamonti 0.2740384615384615\n",
- "Deulofeu 0.0\n",
- "Jovic 0.0\n",
- "Zirkzee 0.46153846153846145\n",
- "Petagna 0.0990074441687345\n",
- "Belotti 0.2828784119106699\n",
- "Simeone 0.35076923076923067\n",
- "Cambiaghi 0.20879120879120883\n"
+ "Viola 0.0 (two seasons ago)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Shomurodov 0.6138461538461538\n",
- "Azmoun 0.0 (rookie)\n",
- "Thauvin 0.548076923076923\n",
- "Pedro 0.1623931623931624\n",
+ "Rog 0.0 (two seasons ago)\n",
+ "Nicolussi Caviglia 0.0\n",
+ "Demme 0.0\n",
+ "Pafundi 0.0\n",
+ "Adli 0.0\n",
+ "Zerbin 0.2923076923076923\n",
+ "Carboni V. 1\n",
+ "Faticanti 0.0\n",
+ "Osimhen 0.3653846153846154\n",
+ "Martinez L. 0.3076923076923077\n",
+ "Rafael Leao 0.3340659340659341\n",
+ "Lukaku 0.24553846153846154\n",
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+ "Immobile 0.3771712158808933\n",
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+ "Dybala 0.23384615384615384\n",
+ "Kvaratskhelia 0.25791855203619907\n",
+ "Giroud 0.3543123543123543\n",
+ "Scamacca 0.3410256410256411 (two seasons ago)\n",
+ "Thuram 0.40923076923076923 (rookie)\n",
+ "Lookman 0.3771712158808933\n",
+ "Dia 0.17715617715617715\n",
+ "Arnautovic 0.5846153846153845\n",
+ "Retegui 0.5846153846153845 (rookie)\n",
+ "Sanabria 0.17715617715617715\n",
+ "Nzola 0.396029776674938\n",
+ "Lauriente' 0.41758241758241765\n",
+ "Zapata D. 0.24553846153846154\n",
+ "Chiesa 0.5567765567765568\n",
+ "Milik 0.4330484330484331\n",
+ "Gonzalez N. 0.4871794871794872\n",
+ "Pinamonti 0.3653846153846154\n",
+ "Beltran L. 0.4910769230769231 (rookie)\n",
+ "Caprari 0.316008316008316\n",
+ "Sanchez 0.0 (rookie)\n",
+ "Caputo 0.5567765567765568\n",
+ "Belotti 0.3771712158808933\n",
+ "Muriel 0.20159151193633953\n",
+ "Lapadula 0.0 (rookie)\n",
+ "Jovic 0.0990074441687345\n",
+ "Abraham 0.0\n",
+ "Zirkzee 0.6153846153846154\n",
+ "Ngonge 0.8351648351648353\n",
+ "Petagna 0.0990074441687345\n",
+ "Simeone 0.35076923076923067\n",
+ "Deulofeu 0.0\n",
+ "Pedro 0.24358974358974356\n",
+ "Shomurodov 0.8184615384615385\n",
+ "Shomurodov 0.6573550295857988 (two seasons ago)\n",
+ "Azmoun 0.13344481605351172 (rookie)\n",
+ "Cheddira 0.29702233250620347 (rookie)\n",
+ "Karlsson 0.4003344481605351 (rookie)\n",
"Brekalo 1\n",
- "Brekalo 0.28774038461538465 (two seasons ago)\n",
+ "Brekalo 0.3836538461538462 (two seasons ago)\n",
+ "Cambiaghi 0.31318681318681313\n",
"Henry 0.0\n",
- "Mulattieri 0.3175066312997347 (rookie)\n",
- "Karlsson 0.26688963210702343 (rookie)\n",
- "Kean 0.10439560439560441\n",
- "Karamoh 0.2783882783882784\n",
- "Djuric 0.31318681318681313\n",
- "Mota 0.3023872679045092\n",
- "Cheddira 0.198014888337469 (rookie)\n",
- "Defrel 0.10826210826210828\n",
- "Raspadori 0.35076923076923067\n",
- "Colombo 0.09300699300699301\n",
+ "Mulattieri 0.423342175066313 (rookie)\n",
+ "Kean 0.20879120879120883\n",
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+ "Thauvin 0.7307692307692308\n",
+ "Kouame' 0.31318681318681313\n",
+ "Raspadori 0.4676923076923077\n",
+ "Colombo 0.18601398601398603\n",
"Luvumbo 0.0 (rookie)\n",
- "Banda 0.24358974358974356\n",
- "Bonazzoli 0.3836538461538462\n",
- "Pellegri 0.4871794871794871\n",
- "Kouame' 0.20879120879120883\n",
- "Piccoli 0.23609467455621302\n",
+ "Mota 0.40318302387267907\n",
+ "Bonazzoli 0.5115384615384616\n",
+ "Djuric 0.41758241758241765\n",
+ "Banda 0.3247863247863248\n",
+ "Defrel 0.10826210826210828\n",
+ "Sansone 0.0\n",
+ "Pellegri 0.6495726495726496\n",
+ "Piccoli 0.47218934911242605\n",
"Success 0.29230769230769227\n",
- "Botheim 0.31318681318681313\n",
- "Lucca 0.6576923076923077 (rookie)\n",
- "Caso 0.1753846153846154 (rookie)\n",
- "Cancellieri 0.4603846153846154\n",
+ "Botheim 0.41758241758241765\n",
+ "Lucca 0.876923076923077 (rookie)\n",
+ "Caso 0.2630769230769231 (rookie)\n",
"Jovane 0.0 (two seasons ago)\n",
- "Pavoletti 0.26688963210702343 (rookie)\n",
- "Soule' 0.23609467455621302\n",
+ "Soule' 0.47218934911242605\n",
+ "Pavoletti 0.4003344481605351 (rookie)\n",
+ "Cancellieri 0.6138461538461539\n",
+ "Seck 0.3076923076923077\n",
"Alvarez A. 0.0\n",
"Ekuban 0.29230769230769227 (two seasons ago)\n",
- "Seck 0.15384615384615385\n",
- "Destro 0.17194570135746606\n",
- "Ceide 0.3076923076923077\n",
+ "Destro 0.3438914027149321\n",
+ "Ceide 0.46153846153846145\n",
"Ake' M. 0.0 (two seasons ago)\n",
"Braaf 0.0\n",
"Kallon 0.0\n",
"Kaio Jorge 0.0\n",
"Kaio Jorge 0.0 (two seasons ago)\n",
- "Valencia D. 0.0\n",
"Vivaldo 0.0\n",
"Players with low quantity of games:\n",
"Natan 0.0\n",
- "Kamara H. 0.5\n",
- "Llorente D. 0.5256410256410258\n",
+ "Llorente D. 0.6666666666666667\n",
+ "Kamara H. 0.6666666666666667\n",
+ "Pongracic 0.6666666666666667\n",
+ "Wieteska 0.33333333333333337\n",
+ "Lirola 0.16666666666666663\n",
+ "Kabasele 0.6666666666666667\n",
+ "Obert 0.5\n",
"Zemura 0.5\n",
- "Wieteska 0.16666666666666663\n",
- "Kabasele 0.5\n",
- "Monterisi 0.7172494172494173\n",
- "Pongracic 0.5256410256410258\n",
- "Obert 0.3504273504273504\n",
- "Tressoldi 0.0\n",
- "Hatzidiakos 0.0\n",
- "Calafiori 0.5\n",
- "Vogliacco 0.0\n",
- "Lirola 0.0\n",
+ "Hatzidiakos 0.16666666666666663\n",
"Carboni A. 0.33333333333333337\n",
- "Di Pardo 0.5\n",
- "Ostigard 0.4706959706959706\n",
+ "Calafiori 0.16666666666666663\n",
+ "Monterisi 0.6666666666666667\n",
+ "Tressoldi 0.0\n",
+ "Vogliacco 0.0\n",
+ "Di Pardo 0.6666666666666667\n",
+ "Ostigard 0.5\n",
"Bisseck 0.16666666666666663\n",
- "Dorgu 0.5\n",
- "Touba 0.0\n",
+ "Oyono 0.6666666666666667\n",
+ "Ferreira J. 0.6666666666666667\n",
+ "Dorgu 0.6666666666666667\n",
+ "Touba 0.16666666666666663\n",
"Sazonov 0.0\n",
+ "Pereira P. 0.5\n",
"Cittadini 0.0\n",
+ "Guessand A. 0.16666666666666663\n",
"Missori 0.16666666666666663\n",
"Kayode 0.16666666666666663\n",
- "Oyono 0.5\n",
- "Ferreira J. 0.5\n",
"Corazza 0.33333333333333337\n",
"Kristensen T. 0.0\n",
"Dermaku 0.16666666666666663\n",
"Capradossi 0.0\n",
- "Pereira P. 0.33333333333333337\n",
"Bettella 0.0\n",
"Amey 0.0\n",
"Gila 0.6666666666666667\n",
- "Guessand A. 0.16666666666666663\n",
"Guarino 0.0\n",
"Carboni F. 0.33333333333333337\n",
"Smajlovic 0.0\n",
@@ -4132,37 +4134,39 @@
"Huijsen 0.0\n",
"Bonfanti 0.0\n",
"Pellegrino 0.0\n",
+ "Comuzzo 0.0\n",
"Pogba 0.3504273504273504\n",
- "Ndoye 0.5\n",
- "Musah 0.16666666666666663\n",
+ "Ndoye 0.6666666666666667\n",
"Mboula 0.5\n",
+ "Arthur Melo 0.6666666666666667\n",
+ "Musah 0.33333333333333337\n",
+ "Mazzitelli 0.6666666666666667\n",
"Jankto 0.5\n",
- "Arthur Melo 0.5\n",
"Reinier 0.0\n",
- "Ramadani 0.5\n",
- "Mancosu 0.0\n",
- "Machin 0.0\n",
- "Brescianini 0.33333333333333337\n",
- "Rafia 0.5\n",
+ "Ramadani 0.6666666666666667\n",
"Cajuste 0.0\n",
- "Kaba 0.5\n",
- "Mazzitelli 0.5\n",
+ "Mancosu 0.0\n",
+ "Brescianini 0.5\n",
+ "Boloca 0.5\n",
+ "Rafia 0.6666666666666667\n",
+ "Kaba 0.6666666666666667\n",
+ "Machin 0.0\n",
"Iling Junior 0.0\n",
"Oristanio 0.5\n",
- "Boloca 0.33333333333333337\n",
- "Martegani 0.33333333333333337\n",
- "Serdar 0.33333333333333337\n",
- "Payero 0.0\n",
+ "Serdar 0.5\n",
+ "Payero 0.16666666666666663\n",
+ "Garritano 0.5\n",
"Racic 0.33333333333333337\n",
"Infantino 0.5\n",
+ "Martegani 0.5\n",
"Kutlu 0.16666666666666663\n",
"Tchatchoua 0.0\n",
- "Garritano 0.33333333333333337\n",
"Quina 0.33333333333333337\n",
- "Tchaouna 0.16666666666666663\n",
- "Barrenechea 0.5\n",
- "Gelli 0.5\n",
- "Suslov 0.0\n",
+ "Adopo 0.7042735042735042\n",
+ "Tchaouna 0.33333333333333337\n",
+ "Barrenechea 0.6666666666666667\n",
+ "Gelli 0.6666666666666667\n",
+ "Suslov 0.16666666666666663\n",
"Jagiello 0.0\n",
"Akpa Akpro 0.0\n",
"Urbanski 0.33333333333333337\n",
@@ -4171,37 +4175,41 @@
"Zarraga 0.33333333333333337\n",
"Camara E. 0.0\n",
"Amatucci 0.16666666666666663\n",
+ "Pagano 0.5\n",
+ "Prati 0.16666666666666663\n",
"Lulic K. 0.0\n",
"Bondo 0.16666666666666663\n",
"Carboni V. 0.33333333333333337\n",
"Faticanti 0.0\n",
- "Gineitis 0.0\n",
+ "Gineitis 0.16666666666666663\n",
"Belardinelli 0.0\n",
"El Azzouzi 0.5\n",
"Lipani 0.0\n",
"Joselito 0.0\n",
- "Pagano 0.33333333333333337\n",
"Legowski 0.0\n",
- "Prati 0.0\n",
- "Okafor 0.5\n",
+ "Ibrahimovic A. 0.0\n",
+ "Okafor 0.6666666666666667\n",
"Toure' E. 0.0\n",
- "Krstovic 0.33333333333333337\n",
- "Castellanos 0.5\n",
- "Almqvist 0.5\n",
+ "Krstovic 0.5\n",
+ "Ngonge 0.9413919413919412\n",
+ "Castellanos 0.6666666666666667\n",
+ "Almqvist 0.6666666666666667\n",
"Isaksen 0.5\n",
- "Davis K. 0.0\n",
"Brenner 0.0\n",
+ "Davis K. 0.0\n",
+ "Lucca 0.8717948717948717\n",
"Jovane 0.0\n",
"Cuni 0.5\n",
- "Kvernadze 0.16666666666666663\n",
+ "Maric 0.5\n",
+ "Cruz 0.0\n",
"Van Hooijdonk 0.16666666666666663\n",
- "Maric 0.33333333333333337\n",
- "Shpendi S. 0.33333333333333337\n",
- "Ikwuemesi 0.33333333333333337\n",
+ "Kvernadze 0.16666666666666663\n",
+ "Ikwuemesi 0.5\n",
"Puscas 0.0\n",
"Ake' M. 0.6666666666666667\n",
"Vivaldo 0.0\n",
"Bidaoui 0.0\n",
+ "Shpendi S. 0.5\n",
"Burnete 0.16666666666666663\n",
"Corfitzen 0.0\n",
"Stewart 0.0\n",
@@ -4304,7 +4312,7 @@
"\n",
"# mean players stats based on old season\n",
"\n",
- "mean_players_stats = players_old.loc[players_orig.index[0]][cols_toadapt] * 0\n",
+ "mean_players_stats = players_orig.loc[players_orig.index[0]][cols_toadapt] * 0\n",
"count = 0\n",
"\n",
"for i in range(players_old.shape[0]):\n",
@@ -4839,10 +4847,39 @@
"execution_count": 22,
"id": "8aad9652",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch 1/1000\n",
+ "94/94 [==============================] - 4s 9ms/step - loss: 2.1251 - distribution_lambda_loss: 0.8284 - distribution_lambda_1_loss: 1.2967 - val_loss: 2.0962 - val_distribution_lambda_loss: 0.8157 - val_distribution_lambda_1_loss: 1.2804\n",
+ "Epoch 2/1000\n",
+ "94/94 [==============================] - 0s 3ms/step - loss: 2.1244 - distribution_lambda_loss: 0.8284 - distribution_lambda_1_loss: 1.2960 - val_loss: 2.1000 - val_distribution_lambda_loss: 0.8174 - val_distribution_lambda_1_loss: 1.2826\n",
+ "Epoch 3/1000\n",
+ "94/94 [==============================] - 0s 3ms/step - loss: 2.1246 - distribution_lambda_loss: 0.8271 - distribution_lambda_1_loss: 1.2976 - val_loss: 2.1027 - val_distribution_lambda_loss: 0.8194 - val_distribution_lambda_1_loss: 1.2832\n",
+ "Epoch 4/1000\n",
+ "94/94 [==============================] - 0s 3ms/step - loss: 2.1244 - distribution_lambda_loss: 0.8265 - distribution_lambda_1_loss: 1.2978 - val_loss: 2.1046 - val_distribution_lambda_loss: 0.8192 - val_distribution_lambda_1_loss: 1.2854\n",
+ "Epoch 5/1000\n",
+ "94/94 [==============================] - 0s 3ms/step - loss: 2.1229 - distribution_lambda_loss: 0.8260 - distribution_lambda_1_loss: 1.2969 - val_loss: 2.1029 - val_distribution_lambda_loss: 0.8188 - val_distribution_lambda_1_loss: 1.2841\n",
+ "Epoch 6/1000\n",
+ "94/94 [==============================] - 0s 3ms/step - loss: 2.1190 - distribution_lambda_loss: 0.8258 - distribution_lambda_1_loss: 1.2932 - val_loss: 2.1034 - val_distribution_lambda_loss: 0.8197 - val_distribution_lambda_1_loss: 1.2837\n",
+ "Epoch 7/1000\n",
+ "94/94 [==============================] - 0s 3ms/step - loss: 2.1207 - distribution_lambda_loss: 0.8258 - distribution_lambda_1_loss: 1.2949 - val_loss: 2.1039 - val_distribution_lambda_loss: 0.8194 - val_distribution_lambda_1_loss: 1.2845\n",
+ "Epoch 8/1000\n",
+ "94/94 [==============================] - 0s 3ms/step - loss: 2.1272 - distribution_lambda_loss: 0.8285 - distribution_lambda_1_loss: 1.2987 - val_loss: 2.1043 - val_distribution_lambda_loss: 0.8193 - val_distribution_lambda_1_loss: 1.2851\n",
+ "Epoch 9/1000\n",
+ "94/94 [==============================] - 0s 3ms/step - loss: 2.1213 - distribution_lambda_loss: 0.8262 - distribution_lambda_1_loss: 1.2951 - val_loss: 2.1100 - val_distribution_lambda_loss: 0.8225 - val_distribution_lambda_1_loss: 1.2874\n",
+ "Epoch 10/1000\n",
+ "94/94 [==============================] - 0s 3ms/step - loss: 2.1201 - distribution_lambda_loss: 0.8256 - distribution_lambda_1_loss: 1.2945 - val_loss: 2.1039 - val_distribution_lambda_loss: 0.8196 - val_distribution_lambda_1_loss: 1.2843\n",
+ "Epoch 11/1000\n",
+ "94/94 [==============================] - 0s 2ms/step - loss: 2.1259 - distribution_lambda_loss: 0.8294 - distribution_lambda_1_loss: 1.2965 - val_loss: 2.1056 - val_distribution_lambda_loss: 0.8199 - val_distribution_lambda_1_loss: 1.2857\n"
+ ]
+ }
+ ],
"source": [
"load_model_of = True# load scaler and model weights for outfield player predictor\n",
- "refit_model_of = False\n",
+ "refit_model_of = True\n",
"\n",
"if(load_model_of):\n",
" scaler = pickle.load(open('saves/scaler.pkl', 'rb'))\n",
@@ -4930,7 +4967,7 @@
},
{
"cell_type": "code",
- "execution_count": 22,
+ "execution_count": 24,
"id": "c2674211",
"metadata": {},
"outputs": [
@@ -4938,13 +4975,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "0.14119796895209447\n",
- "0.16628630402642608\n"
+ "0.14232313843838407\n",
+ "0.16748424431848907\n"
]
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -4956,13 +4993,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "0.12115597123709632\n",
- "0.15401380855251512\n"
+ "0.13031966791602223\n",
+ "0.15463784705801664\n"
]
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -5009,13 +5046,134 @@
},
{
"cell_type": "code",
- "execution_count": 24,
+ "execution_count": 25,
"id": "41e7e1ee",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch 1/2500\n",
+ "15/15 [==============================] - 4s 51ms/step - loss: 2.9275 - distribution_lambda_2_loss: 0.8261 - distribution_lambda_3_loss: 1.6128 - distribution_lambda_4_loss: 0.4886 - val_loss: 2.7835 - val_distribution_lambda_2_loss: 0.7798 - val_distribution_lambda_3_loss: 1.5644 - val_distribution_lambda_4_loss: 0.4393\n",
+ "Epoch 2/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.9398 - distribution_lambda_2_loss: 0.8407 - distribution_lambda_3_loss: 1.6118 - distribution_lambda_4_loss: 0.4873 - val_loss: 2.7933 - val_distribution_lambda_2_loss: 0.7822 - val_distribution_lambda_3_loss: 1.5676 - val_distribution_lambda_4_loss: 0.4435\n",
+ "Epoch 3/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8995 - distribution_lambda_2_loss: 0.8200 - distribution_lambda_3_loss: 1.6036 - distribution_lambda_4_loss: 0.4760 - val_loss: 2.7982 - val_distribution_lambda_2_loss: 0.7802 - val_distribution_lambda_3_loss: 1.5689 - val_distribution_lambda_4_loss: 0.4491\n",
+ "Epoch 4/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.9054 - distribution_lambda_2_loss: 0.8196 - distribution_lambda_3_loss: 1.6055 - distribution_lambda_4_loss: 0.4804 - val_loss: 2.8042 - val_distribution_lambda_2_loss: 0.7834 - val_distribution_lambda_3_loss: 1.5700 - val_distribution_lambda_4_loss: 0.4508\n",
+ "Epoch 5/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.9168 - distribution_lambda_2_loss: 0.8201 - distribution_lambda_3_loss: 1.6161 - distribution_lambda_4_loss: 0.4807 - val_loss: 2.7965 - val_distribution_lambda_2_loss: 0.7780 - val_distribution_lambda_3_loss: 1.5696 - val_distribution_lambda_4_loss: 0.4489\n",
+ "Epoch 6/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8967 - distribution_lambda_2_loss: 0.8326 - distribution_lambda_3_loss: 1.5927 - distribution_lambda_4_loss: 0.4714 - val_loss: 2.7991 - val_distribution_lambda_2_loss: 0.7770 - val_distribution_lambda_3_loss: 1.5737 - val_distribution_lambda_4_loss: 0.4484\n",
+ "Epoch 7/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8951 - distribution_lambda_2_loss: 0.8099 - distribution_lambda_3_loss: 1.6034 - distribution_lambda_4_loss: 0.4818 - val_loss: 2.8080 - val_distribution_lambda_2_loss: 0.7777 - val_distribution_lambda_3_loss: 1.5762 - val_distribution_lambda_4_loss: 0.4541\n",
+ "Epoch 8/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.9125 - distribution_lambda_2_loss: 0.8264 - distribution_lambda_3_loss: 1.6079 - distribution_lambda_4_loss: 0.4782 - val_loss: 2.8074 - val_distribution_lambda_2_loss: 0.7834 - val_distribution_lambda_3_loss: 1.5742 - val_distribution_lambda_4_loss: 0.4498\n",
+ "Epoch 9/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8867 - distribution_lambda_2_loss: 0.8113 - distribution_lambda_3_loss: 1.5974 - distribution_lambda_4_loss: 0.4780 - val_loss: 2.8066 - val_distribution_lambda_2_loss: 0.7811 - val_distribution_lambda_3_loss: 1.5766 - val_distribution_lambda_4_loss: 0.4490\n",
+ "Epoch 10/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8712 - distribution_lambda_2_loss: 0.8028 - distribution_lambda_3_loss: 1.5997 - distribution_lambda_4_loss: 0.4687 - val_loss: 2.8086 - val_distribution_lambda_2_loss: 0.7787 - val_distribution_lambda_3_loss: 1.5787 - val_distribution_lambda_4_loss: 0.4511\n",
+ "Epoch 11/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.9127 - distribution_lambda_2_loss: 0.8165 - distribution_lambda_3_loss: 1.6108 - distribution_lambda_4_loss: 0.4854 - val_loss: 2.8124 - val_distribution_lambda_2_loss: 0.7841 - val_distribution_lambda_3_loss: 1.5808 - val_distribution_lambda_4_loss: 0.4475\n",
+ "Epoch 12/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.9059 - distribution_lambda_2_loss: 0.8270 - distribution_lambda_3_loss: 1.6054 - distribution_lambda_4_loss: 0.4735 - val_loss: 2.8026 - val_distribution_lambda_2_loss: 0.7713 - val_distribution_lambda_3_loss: 1.5797 - val_distribution_lambda_4_loss: 0.4517\n",
+ "Epoch 13/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8937 - distribution_lambda_2_loss: 0.8163 - distribution_lambda_3_loss: 1.6020 - distribution_lambda_4_loss: 0.4754 - val_loss: 2.8178 - val_distribution_lambda_2_loss: 0.7823 - val_distribution_lambda_3_loss: 1.5816 - val_distribution_lambda_4_loss: 0.4539\n",
+ "Epoch 14/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8806 - distribution_lambda_2_loss: 0.8093 - distribution_lambda_3_loss: 1.5959 - distribution_lambda_4_loss: 0.4754 - val_loss: 2.8069 - val_distribution_lambda_2_loss: 0.7735 - val_distribution_lambda_3_loss: 1.5803 - val_distribution_lambda_4_loss: 0.4531\n",
+ "Epoch 15/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8728 - distribution_lambda_2_loss: 0.8181 - distribution_lambda_3_loss: 1.5915 - distribution_lambda_4_loss: 0.4632 - val_loss: 2.8039 - val_distribution_lambda_2_loss: 0.7744 - val_distribution_lambda_3_loss: 1.5786 - val_distribution_lambda_4_loss: 0.4509\n",
+ "Epoch 16/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8969 - distribution_lambda_2_loss: 0.8197 - distribution_lambda_3_loss: 1.5983 - distribution_lambda_4_loss: 0.4789 - val_loss: 2.8080 - val_distribution_lambda_2_loss: 0.7764 - val_distribution_lambda_3_loss: 1.5797 - val_distribution_lambda_4_loss: 0.4519\n",
+ "Epoch 17/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8951 - distribution_lambda_2_loss: 0.8161 - distribution_lambda_3_loss: 1.6007 - distribution_lambda_4_loss: 0.4783 - val_loss: 2.8087 - val_distribution_lambda_2_loss: 0.7763 - val_distribution_lambda_3_loss: 1.5806 - val_distribution_lambda_4_loss: 0.4518\n",
+ "Epoch 18/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8803 - distribution_lambda_2_loss: 0.8058 - distribution_lambda_3_loss: 1.5970 - distribution_lambda_4_loss: 0.4774 - val_loss: 2.8104 - val_distribution_lambda_2_loss: 0.7768 - val_distribution_lambda_3_loss: 1.5797 - val_distribution_lambda_4_loss: 0.4539\n",
+ "Epoch 19/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8779 - distribution_lambda_2_loss: 0.8111 - distribution_lambda_3_loss: 1.6012 - distribution_lambda_4_loss: 0.4656 - val_loss: 2.7999 - val_distribution_lambda_2_loss: 0.7697 - val_distribution_lambda_3_loss: 1.5788 - val_distribution_lambda_4_loss: 0.4513\n",
+ "Epoch 20/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8865 - distribution_lambda_2_loss: 0.8202 - distribution_lambda_3_loss: 1.5970 - distribution_lambda_4_loss: 0.4693 - val_loss: 2.8108 - val_distribution_lambda_2_loss: 0.7783 - val_distribution_lambda_3_loss: 1.5813 - val_distribution_lambda_4_loss: 0.4511\n",
+ "Epoch 21/2500\n",
+ "15/15 [==============================] - 0s 5ms/step - loss: 2.8933 - distribution_lambda_2_loss: 0.8156 - distribution_lambda_3_loss: 1.5962 - distribution_lambda_4_loss: 0.4815 - val_loss: 2.8156 - val_distribution_lambda_2_loss: 0.7794 - val_distribution_lambda_3_loss: 1.5805 - val_distribution_lambda_4_loss: 0.4557\n",
+ "Epoch 22/2500\n",
+ "15/15 [==============================] - 0s 5ms/step - loss: 2.8945 - distribution_lambda_2_loss: 0.8244 - distribution_lambda_3_loss: 1.5988 - distribution_lambda_4_loss: 0.4713 - val_loss: 2.8139 - val_distribution_lambda_2_loss: 0.7768 - val_distribution_lambda_3_loss: 1.5813 - val_distribution_lambda_4_loss: 0.4558\n",
+ "Epoch 23/2500\n",
+ "15/15 [==============================] - 0s 5ms/step - loss: 2.8835 - distribution_lambda_2_loss: 0.8139 - distribution_lambda_3_loss: 1.5927 - distribution_lambda_4_loss: 0.4769 - val_loss: 2.8132 - val_distribution_lambda_2_loss: 0.7755 - val_distribution_lambda_3_loss: 1.5811 - val_distribution_lambda_4_loss: 0.4566\n",
+ "Epoch 24/2500\n",
+ "15/15 [==============================] - 0s 5ms/step - loss: 2.8906 - distribution_lambda_2_loss: 0.8175 - distribution_lambda_3_loss: 1.6028 - distribution_lambda_4_loss: 0.4702 - val_loss: 2.8118 - val_distribution_lambda_2_loss: 0.7749 - val_distribution_lambda_3_loss: 1.5813 - val_distribution_lambda_4_loss: 0.4556\n",
+ "Epoch 25/2500\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8800 - distribution_lambda_2_loss: 0.8125 - distribution_lambda_3_loss: 1.5979 - distribution_lambda_4_loss: 0.4696 - val_loss: 2.8146 - val_distribution_lambda_2_loss: 0.7762 - val_distribution_lambda_3_loss: 1.5850 - val_distribution_lambda_4_loss: 0.4534\n",
+ "Epoch 26/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8830 - distribution_lambda_2_loss: 0.8167 - distribution_lambda_3_loss: 1.5947 - distribution_lambda_4_loss: 0.4716 - val_loss: 2.8205 - val_distribution_lambda_2_loss: 0.7832 - val_distribution_lambda_3_loss: 1.5836 - val_distribution_lambda_4_loss: 0.4537\n",
+ "Epoch 27/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8630 - distribution_lambda_2_loss: 0.7963 - distribution_lambda_3_loss: 1.5963 - distribution_lambda_4_loss: 0.4704 - val_loss: 2.8112 - val_distribution_lambda_2_loss: 0.7702 - val_distribution_lambda_3_loss: 1.5849 - val_distribution_lambda_4_loss: 0.4561\n",
+ "Epoch 28/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8747 - distribution_lambda_2_loss: 0.8128 - distribution_lambda_3_loss: 1.5955 - distribution_lambda_4_loss: 0.4665 - val_loss: 2.8163 - val_distribution_lambda_2_loss: 0.7784 - val_distribution_lambda_3_loss: 1.5838 - val_distribution_lambda_4_loss: 0.4540\n",
+ "Epoch 29/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8714 - distribution_lambda_2_loss: 0.8077 - distribution_lambda_3_loss: 1.5945 - distribution_lambda_4_loss: 0.4692 - val_loss: 2.8034 - val_distribution_lambda_2_loss: 0.7677 - val_distribution_lambda_3_loss: 1.5822 - val_distribution_lambda_4_loss: 0.4535\n",
+ "Epoch 30/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8645 - distribution_lambda_2_loss: 0.8020 - distribution_lambda_3_loss: 1.5902 - distribution_lambda_4_loss: 0.4724 - val_loss: 2.8095 - val_distribution_lambda_2_loss: 0.7751 - val_distribution_lambda_3_loss: 1.5803 - val_distribution_lambda_4_loss: 0.4541\n",
+ "Epoch 31/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8748 - distribution_lambda_2_loss: 0.8146 - distribution_lambda_3_loss: 1.5964 - distribution_lambda_4_loss: 0.4638 - val_loss: 2.8157 - val_distribution_lambda_2_loss: 0.7783 - val_distribution_lambda_3_loss: 1.5839 - val_distribution_lambda_4_loss: 0.4535\n",
+ "Epoch 32/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8871 - distribution_lambda_2_loss: 0.8140 - distribution_lambda_3_loss: 1.5991 - distribution_lambda_4_loss: 0.4740 - val_loss: 2.8063 - val_distribution_lambda_2_loss: 0.7710 - val_distribution_lambda_3_loss: 1.5826 - val_distribution_lambda_4_loss: 0.4526\n",
+ "Epoch 33/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8908 - distribution_lambda_2_loss: 0.8087 - distribution_lambda_3_loss: 1.5981 - distribution_lambda_4_loss: 0.4841 - val_loss: 2.8009 - val_distribution_lambda_2_loss: 0.7669 - val_distribution_lambda_3_loss: 1.5807 - val_distribution_lambda_4_loss: 0.4532\n",
+ "Epoch 34/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8637 - distribution_lambda_2_loss: 0.8007 - distribution_lambda_3_loss: 1.5960 - distribution_lambda_4_loss: 0.4670 - val_loss: 2.8210 - val_distribution_lambda_2_loss: 0.7801 - val_distribution_lambda_3_loss: 1.5859 - val_distribution_lambda_4_loss: 0.4550\n",
+ "Epoch 35/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8438 - distribution_lambda_2_loss: 0.7951 - distribution_lambda_3_loss: 1.5852 - distribution_lambda_4_loss: 0.4634 - val_loss: 2.8146 - val_distribution_lambda_2_loss: 0.7748 - val_distribution_lambda_3_loss: 1.5860 - val_distribution_lambda_4_loss: 0.4538\n",
+ "Epoch 36/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8835 - distribution_lambda_2_loss: 0.8114 - distribution_lambda_3_loss: 1.5971 - distribution_lambda_4_loss: 0.4751 - val_loss: 2.8154 - val_distribution_lambda_2_loss: 0.7706 - val_distribution_lambda_3_loss: 1.5873 - val_distribution_lambda_4_loss: 0.4575\n",
+ "Epoch 37/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8663 - distribution_lambda_2_loss: 0.8047 - distribution_lambda_3_loss: 1.5893 - distribution_lambda_4_loss: 0.4723 - val_loss: 2.8228 - val_distribution_lambda_2_loss: 0.7765 - val_distribution_lambda_3_loss: 1.5893 - val_distribution_lambda_4_loss: 0.4571\n",
+ "Epoch 38/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8676 - distribution_lambda_2_loss: 0.7980 - distribution_lambda_3_loss: 1.5940 - distribution_lambda_4_loss: 0.4756 - val_loss: 2.8247 - val_distribution_lambda_2_loss: 0.7747 - val_distribution_lambda_3_loss: 1.5942 - val_distribution_lambda_4_loss: 0.4557\n",
+ "Epoch 39/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8653 - distribution_lambda_2_loss: 0.8056 - distribution_lambda_3_loss: 1.5900 - distribution_lambda_4_loss: 0.4698 - val_loss: 2.8175 - val_distribution_lambda_2_loss: 0.7702 - val_distribution_lambda_3_loss: 1.5916 - val_distribution_lambda_4_loss: 0.4557\n",
+ "Epoch 40/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8710 - distribution_lambda_2_loss: 0.8159 - distribution_lambda_3_loss: 1.5875 - distribution_lambda_4_loss: 0.4675 - val_loss: 2.8171 - val_distribution_lambda_2_loss: 0.7739 - val_distribution_lambda_3_loss: 1.5886 - val_distribution_lambda_4_loss: 0.4547\n",
+ "Epoch 41/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8540 - distribution_lambda_2_loss: 0.8053 - distribution_lambda_3_loss: 1.5837 - distribution_lambda_4_loss: 0.4651 - val_loss: 2.8149 - val_distribution_lambda_2_loss: 0.7706 - val_distribution_lambda_3_loss: 1.5912 - val_distribution_lambda_4_loss: 0.4530\n",
+ "Epoch 42/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8515 - distribution_lambda_2_loss: 0.8006 - distribution_lambda_3_loss: 1.5850 - distribution_lambda_4_loss: 0.4659 - val_loss: 2.8068 - val_distribution_lambda_2_loss: 0.7650 - val_distribution_lambda_3_loss: 1.5875 - val_distribution_lambda_4_loss: 0.4543\n",
+ "Epoch 43/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8835 - distribution_lambda_2_loss: 0.8176 - distribution_lambda_3_loss: 1.5932 - distribution_lambda_4_loss: 0.4727 - val_loss: 2.8167 - val_distribution_lambda_2_loss: 0.7717 - val_distribution_lambda_3_loss: 1.5896 - val_distribution_lambda_4_loss: 0.4555\n",
+ "Epoch 44/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8590 - distribution_lambda_2_loss: 0.8009 - distribution_lambda_3_loss: 1.5910 - distribution_lambda_4_loss: 0.4671 - val_loss: 2.8176 - val_distribution_lambda_2_loss: 0.7735 - val_distribution_lambda_3_loss: 1.5891 - val_distribution_lambda_4_loss: 0.4549\n",
+ "Epoch 45/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8851 - distribution_lambda_2_loss: 0.8110 - distribution_lambda_3_loss: 1.6011 - distribution_lambda_4_loss: 0.4731 - val_loss: 2.8222 - val_distribution_lambda_2_loss: 0.7780 - val_distribution_lambda_3_loss: 1.5873 - val_distribution_lambda_4_loss: 0.4568\n",
+ "Epoch 46/2500\n",
+ "15/15 [==============================] - 0s 5ms/step - loss: 2.8825 - distribution_lambda_2_loss: 0.8122 - distribution_lambda_3_loss: 1.6014 - distribution_lambda_4_loss: 0.4689 - val_loss: 2.8112 - val_distribution_lambda_2_loss: 0.7666 - val_distribution_lambda_3_loss: 1.5878 - val_distribution_lambda_4_loss: 0.4568\n",
+ "Epoch 47/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8640 - distribution_lambda_2_loss: 0.8197 - distribution_lambda_3_loss: 1.5793 - distribution_lambda_4_loss: 0.4650 - val_loss: 2.8134 - val_distribution_lambda_2_loss: 0.7682 - val_distribution_lambda_3_loss: 1.5881 - val_distribution_lambda_4_loss: 0.4571\n",
+ "Epoch 48/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8478 - distribution_lambda_2_loss: 0.7915 - distribution_lambda_3_loss: 1.5868 - distribution_lambda_4_loss: 0.4694 - val_loss: 2.8135 - val_distribution_lambda_2_loss: 0.7694 - val_distribution_lambda_3_loss: 1.5885 - val_distribution_lambda_4_loss: 0.4556\n",
+ "Epoch 49/2500\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "15/15 [==============================] - 0s 5ms/step - loss: 2.8551 - distribution_lambda_2_loss: 0.8010 - distribution_lambda_3_loss: 1.5880 - distribution_lambda_4_loss: 0.4661 - val_loss: 2.8160 - val_distribution_lambda_2_loss: 0.7707 - val_distribution_lambda_3_loss: 1.5900 - val_distribution_lambda_4_loss: 0.4553\n",
+ "Epoch 50/2500\n",
+ "15/15 [==============================] - 0s 5ms/step - loss: 2.8654 - distribution_lambda_2_loss: 0.8053 - distribution_lambda_3_loss: 1.5910 - distribution_lambda_4_loss: 0.4690 - val_loss: 2.8198 - val_distribution_lambda_2_loss: 0.7728 - val_distribution_lambda_3_loss: 1.5903 - val_distribution_lambda_4_loss: 0.4567\n",
+ "Epoch 51/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8573 - distribution_lambda_2_loss: 0.8035 - distribution_lambda_3_loss: 1.5875 - distribution_lambda_4_loss: 0.4663 - val_loss: 2.8156 - val_distribution_lambda_2_loss: 0.7705 - val_distribution_lambda_3_loss: 1.5905 - val_distribution_lambda_4_loss: 0.4547\n"
+ ]
+ }
+ ],
"source": [
"load_model_gk = True# load scaler and model weights for goalkeeper player predictor\n",
- "refit_model_gk = False\n",
+ "refit_model_gk = True\n",
"\n",
"if(load_model_gk):\n",
" scaler_gk = pickle.load(open('saves/scaler_gk.pkl', 'rb'))\n",
@@ -5088,7 +5246,7 @@
},
{
"cell_type": "code",
- "execution_count": 25,
+ "execution_count": 26,
"id": "39a9bdc6",
"metadata": {},
"outputs": [],
@@ -5108,7 +5266,7 @@
},
{
"cell_type": "code",
- "execution_count": 74,
+ "execution_count": 27,
"id": "c41cf448",
"metadata": {},
"outputs": [
@@ -5116,13 +5274,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "0.08495805978919257\n",
- "0.2863763629090701\n"
+ "0.0798265190543076\n",
+ "0.29563465147366164\n"
]
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -5134,13 +5292,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "0.029428706465254972\n",
- "0.16360124606122328\n"
+ "0.02219365253550709\n",
+ "0.159869757007698\n"
]
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -5185,7 +5343,7 @@
},
{
"cell_type": "code",
- "execution_count": 75,
+ "execution_count": 28,
"id": "cecf5392",
"metadata": {},
"outputs": [],
@@ -5217,7 +5375,7 @@
},
{
"cell_type": "code",
- "execution_count": 26,
+ "execution_count": 29,
"id": "ddf433f9",
"metadata": {},
"outputs": [],
@@ -5344,7 +5502,7 @@
},
{
"cell_type": "code",
- "execution_count": 27,
+ "execution_count": 30,
"id": "d31bad38",
"metadata": {},
"outputs": [],
@@ -5370,7 +5528,7 @@
},
{
"cell_type": "code",
- "execution_count": 28,
+ "execution_count": 31,
"id": "62b9f588",
"metadata": {},
"outputs": [
@@ -5776,7 +5934,7 @@
},
{
"cell_type": "code",
- "execution_count": 29,
+ "execution_count": 32,
"id": "c58ba41d",
"metadata": {},
"outputs": [],
@@ -5814,7 +5972,7 @@
},
{
"cell_type": "code",
- "execution_count": 30,
+ "execution_count": 33,
"id": "f79792b6",
"metadata": {},
"outputs": [
@@ -5850,27 +6008,27 @@
" \n",
" \n",
" \n",
- " Szczesny \n",
+ " Ochoa \n",
+ " 1.0 \n",
+ " 90 \n",
+ " \n",
+ " \n",
+ " Lovato \n",
" 1.0 \n",
" 80 \n",
" \n",
" \n",
- " Danilo \n",
+ " Gyomber \n",
" 1.0 \n",
- " 90 \n",
+ " 80 \n",
" \n",
" \n",
- " Bremer \n",
+ " Pirola \n",
" 1.0 \n",
- " 90 \n",
+ " 80 \n",
" \n",
" \n",
- " Gatti \n",
- " 0.6 \n",
- " 60 \n",
- " \n",
- " \n",
- " Weah \n",
+ " Mazzocchi \n",
" 1.0 \n",
" 80 \n",
" \n",
@@ -5880,54 +6038,54 @@
" ... \n",
" \n",
" \n",
- " Fabbian \n",
+ " Pisilli \n",
+ " 0.0 \n",
+ " 10 \n",
+ " \n",
+ " \n",
+ " Aouar \n",
+ " 0.4 \n",
+ " 55 \n",
+ " \n",
+ " \n",
+ " El Shaarawy \n",
" 0.0 \n",
" 55 \n",
" \n",
" \n",
- " Aebischer \n",
+ " Belotti \n",
" 0.0 \n",
" 60 \n",
" \n",
" \n",
- " El Azzouzi \n",
+ " Azmoun \n",
" 0.0 \n",
- " 50 \n",
- " \n",
- " \n",
- " Urbanski \n",
- " 0.0 \n",
- " 15 \n",
- " \n",
- " \n",
- " Ndoye \n",
- " 0.4 \n",
- " 60 \n",
+ " 35 \n",
" \n",
" \n",
"\n",
- "479 rows × 2 columns
\n",
+ "476 rows × 2 columns
\n",
""
],
"text/plain": [
- " starter percentage\n",
- "player \n",
- "Szczesny 1.0 80\n",
- "Danilo 1.0 90\n",
- "Bremer 1.0 90\n",
- "Gatti 0.6 60\n",
- "Weah 1.0 80\n",
- "... ... ...\n",
- "Fabbian 0.0 55\n",
- "Aebischer 0.0 60\n",
- "El Azzouzi 0.0 50\n",
- "Urbanski 0.0 15\n",
- "Ndoye 0.4 60\n",
+ " starter percentage\n",
+ "player \n",
+ "Ochoa 1.0 90\n",
+ "Lovato 1.0 80\n",
+ "Gyomber 1.0 80\n",
+ "Pirola 1.0 80\n",
+ "Mazzocchi 1.0 80\n",
+ "... ... ...\n",
+ "Pisilli 0.0 10\n",
+ "Aouar 0.4 55\n",
+ "El Shaarawy 0.0 55\n",
+ "Belotti 0.0 60\n",
+ "Azmoun 0.0 35\n",
"\n",
- "[479 rows x 2 columns]"
+ "[476 rows x 2 columns]"
]
},
- "execution_count": 30,
+ "execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
@@ -5950,7 +6108,7 @@
},
{
"cell_type": "code",
- "execution_count": 80,
+ "execution_count": 42,
"id": "5e63c2b7",
"metadata": {
"scrolled": true
@@ -5960,553 +6118,557 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Maignan: MV 6.17 ± 0.90; FV 4.01 + 2.19 (1.4% cs)\n",
- "Meret: MV 6.15 ± 0.92; FV 5.70 + 1.32 (76.0% cs)\n",
- "Sommer: MV 6.13 ± 0.93; FV 5.39 + 1.32 (41.8% cs)\n",
- "Szczesny: MV 6.08 ± 0.98; FV 5.55 + 1.31 (37.1% cs)\n",
- "Provedel: MV 6.18 ± 0.91; FV 4.91 + 1.62 (10.6% cs)\n",
- "Rui Patricio: MV 6.15 ± 0.92; FV 5.70 + 1.32 (69.4% cs)\n",
- "Di Gregorio: MV 6.18 ± 0.89; FV 4.88 + 1.63 (24.5% cs)\n",
- "Skorupski: MV 5.54 ± 1.16; FV 3.49 + 2.77 (0.8% cs)\n",
- "Milinkovic-Savic V.: MV 6.17 ± 0.90; FV 5.21 + 1.44 (20.8% cs)\n",
- "Terracciano: MV 6.22 ± 0.89; FV 5.19 + 1.49 (26.7% cs)\n",
- "Carnesecchi: MV 5.99 ± 0.99; FV 4.08 + 2.13 (0.9% cs)\n",
- "Falcone: MV 6.15 ± 0.94; FV 5.20 + 1.46 (33.8% cs)\n",
- "Silvestri: MV 6.15 ± 0.91; FV 5.72 + 1.32 (58.6% cs)\n",
- "Ochoa: MV 6.18 ± 0.90; FV 5.03 + 1.56 (14.6% cs)\n",
- "Radunovic: MV 6.20 ± 0.88; FV 5.73 + 1.32 (52.6% cs)\n",
- "Montipo': MV 6.10 ± 0.94; FV 4.64 + 1.77 (5.2% cs)\n",
- "Martinez Jo.: MV 6.05 ± 0.95; FV 3.62 + 2.62 (1.2% cs)\n",
- "Caprile: MV 5.72 ± 1.05; FV 3.46 + 2.84 (0.8% cs)\n",
- "Consigli: MV 6.06 ± 0.93; FV 4.45 + 1.92 (10.8% cs)\n",
- "Musso: MV 6.03 ± 0.96; FV 4.63 + 1.77 (1.2% cs)\n",
- "Turati: MV 6.15 ± 0.91; FV 5.71 + 1.32 (66.5% cs)\n",
- "Perin: MV 6.15 ± 0.92; FV 5.69 + 1.32 (68.9% cs)\n",
- "Berisha: MV 6.13 ± 0.92; FV 3.59 + 2.64 (0.9% cs)\n",
- "Cragno: MV 5.96 ± 0.95; FV 4.24 + 2.00 (5.8% cs)\n",
- "Cerofolini: MV 6.17 ± 0.92; FV 5.19 + 1.48 (26.9% cs)\n",
- "Christensen O.: MV 6.17 ± 0.89; FV 4.19 + 2.05 (2.2% cs)\n",
- "Sportiello: MV 6.18 ± 0.89; FV 4.25 + 2.00 (1.5% cs)\n",
- "Mirante: MV 6.18 ± 0.89; FV 4.25 + 2.00 (1.5% cs)\n",
- "Sepe: MV 6.11 ± 0.92; FV 3.71 + 2.49 (1.2% cs)\n",
- "Leali: MV 6.05 ± 0.95; FV 3.62 + 2.62 (1.2% cs)\n",
- "Lamanna: MV 6.08 ± 0.94; FV 3.54 + 2.70 (1.3% cs)\n",
- "Sommariva: MV 6.05 ± 0.95; FV 3.62 + 2.62 (1.2% cs)\n",
- "Pegolo: MV 5.96 ± 0.95; FV 4.24 + 2.00 (5.8% cs)\n",
- "Perilli: MV 6.21 ± 0.89; FV 5.19 + 1.49 (22.6% cs)\n",
- "Padelli: MV 6.20 ± 0.88; FV 5.69 + 1.32 (36.6% cs)\n",
- "Scuffet: MV 6.20 ± 0.88; FV 5.73 + 1.32 (52.6% cs)\n",
- "Gollini: MV 6.17 ± 0.90; FV 5.68 + 1.32 (75.3% cs)\n",
- "Perisan: MV 5.55 ± 1.12; FV 3.40 + 2.84 (0.8% cs)\n",
- "Audero: MV 6.14 ± 0.93; FV 5.20 + 1.46 (31.7% cs)\n",
- "Di Gennaro: MV 6.13 ± 0.93; FV 5.39 + 1.32 (41.8% cs)\n",
- "Pinsoglio: MV 6.05 ± 1.02; FV 5.26 + 1.37 (30.7% cs)\n",
- "Aresti: MV 6.20 ± 0.88; FV 5.73 + 1.32 (52.6% cs)\n",
- "Fiorillo: MV 6.18 ± 0.90; FV 5.06 + 1.55 (15.7% cs)\n",
- "Rossi F.: MV 6.11 ± 0.91; FV 5.14 + 1.50 (3.0% cs)\n",
- "Costil: MV 6.18 ± 0.90; FV 5.06 + 1.55 (15.7% cs)\n",
- "Ravaglia F.: MV 5.50 ± 1.16; FV 3.48 + 2.78 (0.8% cs)\n",
- "Frattali: MV 6.15 ± 0.91; FV 5.71 + 1.32 (66.5% cs)\n",
- "Contini: MV 6.17 ± 0.90; FV 5.68 + 1.32 (75.3% cs)\n",
- "Brancolini: MV 6.10 ± 0.97; FV 5.21 + 1.44 (32.2% cs)\n",
- "Berardi A.: MV 6.21 ± 0.89; FV 5.19 + 1.49 (22.6% cs)\n",
- "Gemello: MV 6.17 ± 0.90; FV 5.37 + 1.33 (24.7% cs)\n",
- "Boer: MV 6.17 ± 0.90; FV 5.35 + 1.35 (30.5% cs)\n",
- "Bagnolini: MV 5.50 ± 1.16; FV 3.48 + 2.78 (0.8% cs)\n",
- "Svilar: MV 6.17 ± 0.90; FV 5.35 + 1.35 (30.5% cs)\n",
- "Sorrentino A.: MV 6.08 ± 0.94; FV 3.54 + 2.70 (1.3% cs)\n",
- "Martinelli T.: MV 6.18 ± 0.89; FV 4.91 + 1.62 (10.8% cs)\n",
- "Popa: MV 6.17 ± 0.90; FV 5.37 + 1.33 (24.7% cs)\n",
- "Stubljar: MV 5.72 ± 1.05; FV 3.46 + 2.84 (0.8% cs)\n",
- "Gori: MV 6.08 ± 0.94; FV 3.54 + 2.70 (1.3% cs)\n",
- "Borbei: MV 6.10 ± 0.97; FV 5.21 + 1.44 (32.2% cs)\n",
- "Okoye: MV 6.20 ± 0.88; FV 5.69 + 1.32 (36.6% cs)\n",
- "Mandas: MV 6.11 ± 0.92; FV 3.71 + 2.49 (1.2% cs)\n",
- "Dimarco: MV 6.23 ± 0.92; FV 6.55 + 1.55\n",
- "Di Lorenzo: MV 6.38 ± 1.12; FV 7.05 + 2.28\n",
- "Hernandez T.: MV 5.93 ± 1.07; FV 6.12 + 1.43\n",
- "Carlos Augusto: MV 6.13 ± 1.01; FV 6.45 + 1.61\n",
- "Danilo: MV 6.40 ± 0.98; FV 6.83 + 1.83\n",
- "Zappacosta: MV 6.08 ± 1.26; FV 6.48 + 2.11\n",
- "Schuurs: MV 6.16 ± 0.95; FV 6.44 + 1.48\n",
- "Posch: MV 6.19 ± 1.11; FV 6.66 + 1.96\n",
- "Bastoni: MV 6.20 ± 0.88; FV 6.38 + 1.22\n",
- "Pavard: MV 6.03 ± 0.78; FV 6.15 + 1.03\n",
- "Smalling: MV 6.32 ± 0.85; FV 6.68 + 1.55\n",
- "Rrahmani: MV 6.21 ± 1.07; FV 6.53 + 1.55\n",
- "Dumfries: MV 6.08 ± 1.00; FV 6.33 + 1.50\n",
- "Romagnoli: MV 5.94 ± 1.02; FV 6.04 + 1.31\n",
- "Bremer: MV 6.21 ± 1.04; FV 6.54 + 1.66\n",
- "Tomori: MV 5.87 ± 1.08; FV 5.96 + 1.38\n",
- "Spinazzola: MV 6.34 ± 0.91; FV 6.81 + 1.86\n",
- "Darmian: MV 6.08 ± 0.75; FV 6.22 + 1.05\n",
- "Biraghi: MV 5.99 ± 1.04; FV 6.28 + 1.54\n",
- "Bakker: MV 5.98 ± 0.84; FV 5.99 + 1.00\n",
- "Mazzocchi: MV 6.15 ± 0.76; FV 6.30 + 0.96\n",
- "Baschirotto: MV 6.18 ± 0.92; FV 6.46 + 1.45\n",
- "Doig: MV 6.18 ± 1.23; FV 6.75 + 2.23\n",
- "Thiaw: MV 5.86 ± 1.15; FV 5.85 + 1.30\n",
- "Mario Rui: MV 6.15 ± 0.97; FV 6.33 + 1.35\n",
- "Calabria: MV 5.90 ± 0.92; FV 6.04 + 1.22\n",
- "Acerbi: MV 5.98 ± 0.89; FV 6.02 + 1.01\n",
- "Cuadrado: MV 5.96 ± 0.91; FV 6.03 + 1.15\n",
- "Milenkovic: MV 5.76 ± 1.18; FV 5.81 + 1.47\n",
- "Mancini: MV 6.13 ± 0.71; FV 6.26 + 0.89\n",
- "Buongiorno: MV 6.08 ± 0.90; FV 6.29 + 1.33\n",
- "Ebuehi: MV 5.96 ± 0.84; FV 6.10 + 1.12\n",
- "Casale: MV 5.89 ± 0.88; FV 5.98 + 1.13\n",
- "Scalvini: MV 6.00 ± 1.20; FV 5.98 + 1.47\n",
- "Holm: MV 6.10 ± 0.95; FV 6.36 + 1.30\n",
- "Faraoni: MV 6.00 ± 0.91; FV 6.31 + 1.47\n",
- "Kolasinac: MV 6.08 ± 0.89; FV 6.26 + 1.13\n",
- "Perez N.: MV 5.98 ± 0.72; FV 6.01 + 0.86\n",
- "Bijol: MV 6.01 ± 0.84; FV 6.18 + 1.21\n",
- "De Vrij: MV 6.10 ± 0.78; FV 6.20 + 0.98\n",
- "Toloi: MV 6.03 ± 1.13; FV 6.06 + 1.36\n",
- "Djimsiti: MV 5.93 ± 1.01; FV 5.81 + 1.06\n",
- "Rodriguez R.: MV 6.02 ± 0.80; FV 6.08 + 0.98\n",
- "Martin: MV 5.93 ± 0.71; FV 6.05 + 0.91\n",
- "N'dicka: MV 6.14 ± 0.61; FV 6.21 + 0.67\n",
- "Kyriakopoulos: MV 5.91 ± 0.70; FV 5.94 + 0.88\n",
- "Mari': MV 5.69 ± 1.05; FV 5.60 + 1.22\n",
- "Bastoni S.: MV 6.17 ± 1.00; FV 6.52 + 1.65\n",
- "Kristensen: MV 6.19 ± 0.76; FV 6.50 + 1.35\n",
- "Natan: MV 5.98 ± 0.96; FV 6.02 + 1.13\n",
- "Hysaj: MV 5.91 ± 0.82; FV 6.02 + 1.08\n",
- "Izzo: MV 5.91 ± 1.05; FV 5.84 + 1.22\n",
- "D'ambrosio: MV 5.94 ± 0.68; FV 5.83 + 0.71\n",
- "Luperto: MV 5.76 ± 1.16; FV 5.56 + 1.31\n",
- "Marusic: MV 5.82 ± 0.93; FV 5.78 + 1.04\n",
- "Mina: MV 5.87 ± 0.86; FV 6.04 + 1.18\n",
- "Bellanova: MV 5.89 ± 0.62; FV 5.89 + 0.67\n",
- "Caldirola: MV 5.81 ± 1.09; FV 5.83 + 1.36\n",
- "Kalulu: MV 5.62 ± 1.25; FV 5.58 + 1.36\n",
- "Parisi: MV 5.96 ± 0.99; FV 6.10 + 1.36\n",
- "Cambiaso: MV 6.16 ± 0.86; FV 6.29 + 1.13\n",
- "Bradaric: MV 6.00 ± 0.82; FV 6.02 + 0.84\n",
- "Kamara H.: MV 6.00 ± 0.66; FV 6.00 + 0.72\n",
- "Olivera: MV 6.04 ± 0.73; FV 6.16 + 0.96\n",
- "Dodo': MV 5.77 ± 1.10; FV 5.81 + 1.37\n",
- "Lucumi': MV 5.87 ± 0.82; FV 5.69 + 0.89\n",
- "Hien: MV 5.90 ± 0.95; FV 5.73 + 1.04\n",
- "Kristiansen: MV 6.15 ± 0.61; FV 6.17 + 0.74\n",
- "Pedersen: MV 5.98 ± 0.69; FV 6.05 + 0.87\n",
- "Romagnoli S.: MV 6.17 ± 0.94; FV 6.43 + 1.53\n",
- "Juan Jesus: MV 6.16 ± 0.67; FV 6.20 + 0.75\n",
- "Gyomber: MV 5.93 ± 0.84; FV 5.85 + 0.77\n",
- "Alex Sandro: MV 5.92 ± 0.91; FV 5.87 + 1.01\n",
- "Hateboer: MV 5.80 ± 1.13; FV 5.87 + 1.45\n",
- "Palomino: MV 5.92 ± 0.92; FV 5.91 + 0.99\n",
- "Marchizza: MV 6.04 ± 0.72; FV 6.07 + 0.90\n",
- "Lazzari: MV 5.92 ± 0.75; FV 5.88 + 0.77\n",
- "Toljan: MV 5.88 ± 0.82; FV 5.87 + 0.94\n",
- "Zappa: MV 5.91 ± 0.64; FV 5.87 + 0.55\n",
- "Gallo: MV 6.00 ± 0.80; FV 6.01 + 0.93\n",
- "Erlic: MV 5.95 ± 0.76; FV 5.90 + 0.78\n",
- "Vojvoda: MV 5.96 ± 0.78; FV 6.10 + 1.10\n",
- "Llorente D.: MV 6.10 ± 0.80; FV 6.25 + 1.02\n",
- "Dragusin: MV 5.80 ± 1.02; FV 5.95 + 1.30\n",
- "Vasquez: MV 5.91 ± 1.05; FV 5.95 + 1.23\n",
- "Viti: MV 6.19 ± 0.71; FV 6.40 + 1.12\n",
- "Gatti: MV 6.12 ± 0.80; FV 6.16 + 0.93\n",
- "Birindelli: MV 5.86 ± 0.75; FV 5.80 + 0.84\n",
- "Gendrey: MV 5.96 ± 0.74; FV 5.96 + 0.80\n",
- "Beukema: MV 5.99 ± 0.83; FV 5.90 + 0.93\n",
- "Zemura: MV 5.97 ± 0.59; FV 5.95 + 0.62\n",
- "Dossena: MV 5.95 ± 0.63; FV 5.94 + 0.63\n",
- "Azzi: MV 6.01 ± 0.66; FV 6.10 + 0.81\n",
- "Wieteska: MV 6.08 ± 0.74; FV 6.10 + 0.79\n",
- "Masina: MV 6.10 ± 0.93; FV 6.60 + 1.90\n",
- "Pezzella Giu.: MV 5.78 ± 0.72; FV 5.69 + 0.74\n",
- "Sabelli: MV 5.84 ± 0.74; FV 5.93 + 0.91\n",
- "Lykogiannis: MV 5.97 ± 0.63; FV 5.94 + 0.69\n",
- "Djidji: MV 5.92 ± 0.82; FV 5.99 + 1.07\n",
- "Kabasele: MV 5.94 ± 0.68; FV 5.92 + 0.75\n",
- "Ranieri L.: MV 5.65 ± 0.94; FV 5.59 + 1.04\n",
- "Augello: MV 6.03 ± 0.73; FV 6.15 + 0.96\n",
- "Zortea: MV 6.15 ± 1.03; FV 6.48 + 1.51\n",
- "Dawidowicz: MV 5.92 ± 1.01; FV 5.75 + 1.13\n",
- "Pirola: MV 6.05 ± 0.90; FV 6.15 + 1.07\n",
- "Lovato: MV 5.88 ± 0.71; FV 5.81 + 0.63\n",
- "Monterisi: MV 6.39 ± 1.04; FV 7.10 + 2.41\n",
- "Ismajli: MV 5.90 ± 0.96; FV 5.71 + 1.03\n",
- "Martinez Quarta: MV 5.80 ± 0.95; FV 5.73 + 1.00\n",
- "Ruggeri: MV 6.08 ± 1.19; FV 6.19 + 1.54\n",
- "Pongracic: MV 6.01 ± 0.81; FV 6.05 + 0.97\n",
- "Obert: MV 5.98 ± 0.75; FV 5.98 + 0.73\n",
- "Tressoldi: MV 5.99 ± 0.89; FV 6.12 + 1.18\n",
- "Ebosele: MV 5.90 ± 0.67; FV 5.87 + 0.69\n",
- "Hatzidiakos: MV 6.05 ± 0.78; FV 6.08 + 0.86\n",
- "Patric: MV 5.90 ± 0.75; FV 5.82 + 0.75\n",
- "Pellegrini Lu.: MV 5.80 ± 0.73; FV 5.75 + 0.80\n",
- "Lazaro: MV 6.02 ± 0.78; FV 6.15 + 1.11\n",
- "Calafiori: MV 5.96 ± 0.96; FV 5.83 + 1.10\n",
- "Vina: MV 5.84 ± 0.75; FV 5.81 + 0.81\n",
- "Terracciano F.: MV 6.22 ± 0.73; FV 6.34 + 0.93\n",
- "Ehizibue: MV 5.90 ± 0.78; FV 6.04 + 1.14\n",
- "Vogliacco: MV 5.80 ± 1.16; FV 5.82 + 1.37\n",
- "Goldaniga: MV 5.88 ± 0.71; FV 5.85 + 0.63\n"
+ "Sommer: MV 6.21 ± 0.80; FV 5.80 + 1.26 (83.0% cs)\n",
+ "Szczesny: MV 6.17 ± 0.87; FV 5.13 + 1.42 (35.2% cs)\n",
+ "Meret: MV 6.19 ± 0.85; FV 5.46 + 1.32 (44.9% cs)\n",
+ "Provedel: MV 6.22 ± 0.89; FV 5.10 + 1.49 (27.3% cs)\n",
+ "Maignan: MV 6.12 ± 0.97; FV 5.10 + 1.48 (22.0% cs)\n",
+ "Rui Patricio: MV 5.77 ± 0.99; FV 3.50 + 2.58 (1.2% cs)\n",
+ "Skorupski: MV 5.92 ± 0.99; FV 3.55 + 2.61 (1.7% cs)\n",
+ "Milinkovic-Savic V.: MV 5.86 ± 1.02; FV 3.48 + 2.71 (1.2% cs)\n",
+ "Di Gregorio: MV 6.23 ± 0.87; FV 5.10 + 1.53 (26.5% cs)\n",
+ "Falcone: MV 6.18 ± 0.90; FV 5.10 + 1.48 (31.0% cs)\n",
+ "Silvestri: MV 5.80 ± 0.99; FV 3.48 + 2.60 (1.3% cs)\n",
+ "Terracciano: MV 6.22 ± 0.86; FV 5.13 + 1.43 (35.2% cs)\n",
+ "Carnesecchi: MV 6.15 ± 0.89; FV 5.10 + 1.47 (24.5% cs)\n",
+ "Radunovic: MV 5.74 ± 1.06; FV 3.38 + 2.73 (1.1% cs)\n",
+ "Montipo': MV 6.15 ± 0.92; FV 4.74 + 1.67 (12.2% cs)\n",
+ "Martinez Jo.: MV 6.06 ± 0.95; FV 4.42 + 2.07 (6.8% cs)\n",
+ "Ochoa: MV 6.08 ± 0.92; FV 3.59 + 2.49 (2.2% cs)\n",
+ "Caprile: MV 5.95 ± 0.98; FV 3.41 + 2.73 (1.1% cs)\n",
+ "Turati: MV 6.13 ± 0.89; FV 5.46 + 1.28 (34.2% cs)\n",
+ "Consigli: MV 6.03 ± 0.96; FV 3.45 + 2.68 (1.4% cs)\n",
+ "Musso: MV 6.19 ± 0.82; FV 5.78 + 1.26 (76.4% cs)\n",
+ "Cragno: MV 5.97 ± 1.01; FV 3.40 + 2.71 (1.1% cs)\n",
+ "Perin: MV 6.16 ± 0.88; FV 5.68 + 1.26 (67.6% cs)\n",
+ "Berisha: MV 5.93 ± 0.98; FV 3.40 + 2.70 (1.1% cs)\n",
+ "Christensen O.: MV 6.17 ± 0.87; FV 4.67 + 1.84 (12.3% cs)\n",
+ "Sportiello: MV 6.12 ± 0.97; FV 5.10 + 1.48 (22.0% cs)\n",
+ "Mirante: MV 6.12 ± 0.97; FV 5.10 + 1.48 (22.0% cs)\n",
+ "Sepe: MV 6.17 ± 0.90; FV 4.72 + 1.68 (12.4% cs)\n",
+ "Leali: MV 6.06 ± 0.95; FV 4.42 + 2.07 (6.8% cs)\n",
+ "Lamanna: MV 6.21 ± 0.90; FV 5.10 + 1.49 (21.7% cs)\n",
+ "Sommariva: MV 6.06 ± 0.95; FV 4.42 + 2.07 (6.8% cs)\n",
+ "Pegolo: MV 5.99 ± 0.97; FV 3.41 + 2.73 (1.2% cs)\n",
+ "Perilli: MV 6.27 ± 0.85; FV 5.10 + 1.49 (27.4% cs)\n",
+ "Padelli: MV 5.73 ± 1.03; FV 3.43 + 2.67 (1.2% cs)\n",
+ "Scuffet: MV 5.74 ± 1.06; FV 3.38 + 2.73 (1.1% cs)\n",
+ "Gollini: MV 6.07 ± 0.88; FV 5.18 + 1.45 (19.8% cs)\n",
+ "Perisan: MV 5.82 ± 1.02; FV 3.40 + 2.72 (1.1% cs)\n",
+ "Audero: MV 6.21 ± 0.80; FV 5.80 + 1.26 (83.0% cs)\n",
+ "Di Gennaro: MV 6.21 ± 0.80; FV 5.80 + 1.26 (83.0% cs)\n",
+ "Pinsoglio: MV 6.14 ± 0.92; FV 5.10 + 1.47 (25.2% cs)\n",
+ "Aresti: MV 5.74 ± 1.06; FV 3.38 + 2.73 (1.1% cs)\n",
+ "Fiorillo: MV 6.08 ± 0.92; FV 3.59 + 2.49 (2.2% cs)\n",
+ "Cerofolini: MV 6.14 ± 0.92; FV 5.10 + 1.48 (23.1% cs)\n",
+ "Rossi F.: MV 6.20 ± 0.87; FV 5.10 + 1.48 (19.9% cs)\n",
+ "Costil: MV 6.08 ± 0.92; FV 3.59 + 2.49 (2.2% cs)\n",
+ "Ravaglia F.: MV 5.88 ± 1.01; FV 3.48 + 2.61 (2.1% cs)\n",
+ "Frattali: MV 6.13 ± 0.89; FV 5.46 + 1.28 (34.2% cs)\n",
+ "Contini: MV 6.07 ± 0.88; FV 5.18 + 1.45 (19.8% cs)\n",
+ "Brancolini: MV 6.18 ± 0.90; FV 5.10 + 1.47 (29.3% cs)\n",
+ "Berardi A.: MV 6.27 ± 0.85; FV 5.10 + 1.49 (27.4% cs)\n",
+ "Gemello: MV 5.86 ± 0.99; FV 3.59 + 2.54 (1.5% cs)\n",
+ "Boer: MV 5.71 ± 1.04; FV 3.40 + 2.70 (1.1% cs)\n",
+ "Bagnolini: MV 5.88 ± 1.01; FV 3.48 + 2.61 (2.1% cs)\n",
+ "Svilar: MV 5.71 ± 1.04; FV 3.40 + 2.70 (1.1% cs)\n",
+ "Sorrentino A.: MV 6.04 ± 0.91; FV 4.65 + 1.69 (12.3% cs)\n",
+ "Martinelli T.: MV 6.25 ± 0.82; FV 5.12 + 1.47 (27.8% cs)\n",
+ "Popa: MV 5.86 ± 0.99; FV 3.59 + 2.54 (1.5% cs)\n",
+ "Stubljar: MV 5.95 ± 0.98; FV 3.41 + 2.73 (1.1% cs)\n",
+ "Gori: MV 6.21 ± 0.90; FV 5.10 + 1.49 (21.7% cs)\n",
+ "Borbei: MV 6.18 ± 0.90; FV 5.10 + 1.47 (29.3% cs)\n",
+ "Okoye: MV 5.73 ± 1.03; FV 3.43 + 2.67 (1.2% cs)\n",
+ "Mandas: MV 6.17 ± 0.90; FV 4.72 + 1.68 (12.4% cs)\n",
+ "Dimarco: MV 6.56 ± 0.78; FV 6.79 + 1.53\n",
+ "Di Lorenzo: MV 6.31 ± 1.10; FV 6.92 + 2.14\n",
+ "Hernandez T.: MV 6.22 ± 1.04; FV 6.79 + 2.05\n",
+ "Carlos Augusto: MV 6.50 ± 0.91; FV 7.04 + 2.15\n",
+ "Danilo: MV 6.39 ± 0.89; FV 6.85 + 1.87\n",
+ "Zappacosta: MV 6.17 ± 0.91; FV 6.52 + 1.55\n",
+ "Schuurs: MV 6.05 ± 1.14; FV 6.13 + 1.46\n",
+ "Posch: MV 5.98 ± 1.07; FV 6.21 + 1.56\n",
+ "Bastoni: MV 6.52 ± 0.75; FV 6.68 + 1.22\n",
+ "Smalling: MV 6.10 ± 0.92; FV 6.28 + 1.27\n",
+ "Dumfries: MV 6.48 ± 0.92; FV 7.04 + 2.17\n",
+ "Romagnoli: MV 6.13 ± 0.96; FV 6.32 + 1.40\n",
+ "Pavard: MV 6.43 ± 0.71; FV 6.62 + 1.21\n",
+ "Rrahmani: MV 6.06 ± 1.03; FV 6.21 + 1.30\n",
+ "Spinazzola: MV 6.17 ± 0.86; FV 6.48 + 1.43\n",
+ "Buongiorno: MV 6.03 ± 1.19; FV 6.17 + 1.66\n",
+ "Bremer: MV 6.24 ± 1.04; FV 6.69 + 1.89\n",
+ "Tomori: MV 6.14 ± 0.76; FV 6.19 + 0.86\n",
+ "Biraghi: MV 6.08 ± 0.89; FV 6.43 + 1.44\n",
+ "Mancini: MV 5.98 ± 0.99; FV 6.09 + 1.26\n",
+ "Darmian: MV 6.43 ± 0.74; FV 6.66 + 1.30\n",
+ "Bakker: MV 6.04 ± 0.55; FV 6.11 + 0.68\n",
+ "Mazzocchi: MV 5.92 ± 0.84; FV 6.11 + 1.18\n",
+ "Doig: MV 5.86 ± 1.08; FV 6.14 + 1.59\n",
+ "Calabria: MV 6.13 ± 0.82; FV 6.31 + 1.12\n",
+ "Acerbi: MV 6.37 ± 0.71; FV 6.47 + 0.99\n",
+ "Cuadrado: MV 6.36 ± 0.81; FV 6.61 + 1.39\n",
+ "Ebuehi: MV 5.53 ± 0.75; FV 5.50 + 0.77\n",
+ "Casale: MV 5.98 ± 0.82; FV 6.06 + 1.05\n",
+ "Holm: MV 6.11 ± 0.67; FV 6.23 + 0.86\n",
+ "Baschirotto: MV 6.11 ± 1.07; FV 6.41 + 1.59\n",
+ "Bijol: MV 5.77 ± 1.25; FV 5.65 + 1.55\n",
+ "Thiaw: MV 5.86 ± 1.15; FV 5.70 + 1.17\n",
+ "Mario Rui: MV 5.95 ± 0.80; FV 5.98 + 0.84\n",
+ "Milenkovic: MV 5.96 ± 0.89; FV 6.00 + 0.99\n",
+ "Rodriguez R.: MV 5.90 ± 0.99; FV 5.80 + 1.10\n",
+ "Kolasinac: MV 6.04 ± 0.65; FV 6.15 + 0.78\n",
+ "N'dicka: MV 5.98 ± 0.62; FV 5.96 + 0.61\n",
+ "Scalvini: MV 6.09 ± 0.87; FV 6.27 + 1.21\n",
+ "Perez N.: MV 5.79 ± 1.19; FV 5.67 + 1.45\n",
+ "Kristensen: MV 6.01 ± 0.75; FV 6.21 + 1.06\n",
+ "Izzo: MV 5.99 ± 0.91; FV 6.07 + 1.22\n",
+ "De Vrij: MV 6.48 ± 0.73; FV 6.62 + 1.14\n",
+ "Faraoni: MV 5.72 ± 0.79; FV 5.80 + 1.01\n",
+ "Toloi: MV 6.09 ± 0.75; FV 6.18 + 0.94\n",
+ "Kyriakopoulos: MV 5.88 ± 0.68; FV 5.89 + 0.80\n",
+ "Bellanova: MV 5.89 ± 1.08; FV 5.89 + 1.32\n",
+ "Mari': MV 5.82 ± 0.87; FV 5.83 + 1.04\n",
+ "Dodo': MV 5.96 ± 0.80; FV 6.00 + 0.88\n",
+ "Lucumi': MV 5.74 ± 1.04; FV 5.68 + 1.20\n",
+ "Hien: MV 5.70 ± 1.05; FV 5.66 + 1.25\n",
+ "Natan: MV 5.92 ± 0.90; FV 5.96 + 1.02\n",
+ "Hysaj: MV 5.98 ± 0.73; FV 6.08 + 1.02\n",
+ "D'ambrosio: MV 6.00 ± 0.67; FV 5.97 + 0.78\n",
+ "Luperto: MV 5.38 ± 1.16; FV 5.35 + 1.29\n",
+ "Djimsiti: MV 6.03 ± 0.63; FV 6.02 + 0.58\n",
+ "Marusic: MV 5.93 ± 0.81; FV 5.93 + 0.92\n",
+ "Martin: MV 5.85 ± 0.64; FV 5.93 + 0.80\n",
+ "Mina: MV 6.01 ± 0.71; FV 6.20 + 0.96\n",
+ "Toljan: MV 5.61 ± 0.86; FV 5.55 + 0.89\n",
+ "Llorente D.: MV 5.80 ± 0.98; FV 5.77 + 1.05\n",
+ "Martinez Quarta: MV 6.00 ± 0.85; FV 6.07 + 0.97\n",
+ "Bastoni S.: MV 5.55 ± 0.73; FV 5.49 + 0.78\n",
+ "Dragusin: MV 5.81 ± 0.84; FV 5.93 + 1.11\n",
+ "Parisi: MV 6.06 ± 0.79; FV 6.17 + 1.01\n",
+ "Bradaric: MV 5.83 ± 0.97; FV 5.91 + 1.24\n",
+ "Kamara H.: MV 5.96 ± 0.92; FV 5.97 + 1.09\n",
+ "Olivera: MV 5.98 ± 0.67; FV 6.08 + 0.75\n",
+ "Gendrey: MV 5.99 ± 0.71; FV 5.97 + 0.78\n",
+ "Kristiansen: MV 6.02 ± 0.86; FV 6.16 + 1.25\n",
+ "Beukema: MV 5.83 ± 1.11; FV 5.85 + 1.36\n",
+ "Dossena: MV 5.68 ± 0.85; FV 5.65 + 0.99\n",
+ "Pedersen: MV 5.77 ± 0.59; FV 5.78 + 0.62\n",
+ "Juan Jesus: MV 5.99 ± 0.60; FV 5.98 + 0.55\n",
+ "Gyomber: MV 5.83 ± 1.00; FV 5.78 + 1.10\n",
+ "Alex Sandro: MV 5.90 ± 0.90; FV 5.83 + 1.05\n",
+ "Hateboer: MV 6.04 ± 0.83; FV 6.28 + 1.29\n",
+ "Palomino: MV 5.98 ± 0.57; FV 5.99 + 0.58\n",
+ "Marchizza: MV 6.06 ± 0.79; FV 6.18 + 0.98\n",
+ "Zappa: MV 5.60 ± 0.86; FV 5.49 + 0.88\n",
+ "Gallo: MV 5.97 ± 0.87; FV 5.98 + 0.96\n",
+ "Caldirola: MV 5.80 ± 1.00; FV 5.85 + 1.33\n",
+ "Kalulu: MV 5.97 ± 0.84; FV 6.01 + 0.91\n",
+ "Erlic: MV 5.62 ± 0.99; FV 5.54 + 1.03\n",
+ "Vojvoda: MV 5.75 ± 0.87; FV 5.73 + 1.04\n",
+ "Vasquez: MV 5.91 ± 0.75; FV 5.88 + 0.81\n",
+ "Cambiaso: MV 6.18 ± 0.84; FV 6.38 + 1.29\n",
+ "Pongracic: MV 6.07 ± 0.83; FV 6.12 + 1.03\n",
+ "Viti: MV 5.92 ± 0.57; FV 6.01 + 0.74\n",
+ "Gatti: MV 6.18 ± 0.75; FV 6.26 + 0.99\n",
+ "Birindelli: MV 5.92 ± 0.77; FV 5.94 + 0.93\n",
+ "Azzi: MV 5.71 ± 0.73; FV 5.70 + 0.83\n",
+ "Wieteska: MV 5.75 ± 0.92; FV 5.73 + 1.09\n",
+ "Masina: MV 5.77 ± 1.20; FV 6.00 + 1.65\n",
+ "Romagnoli S.: MV 6.05 ± 0.94; FV 6.21 + 1.27\n",
+ "Pezzella Giu.: MV 5.40 ± 0.88; FV 5.34 + 0.81\n",
+ "Sabelli: MV 5.90 ± 0.60; FV 5.92 + 0.71\n",
+ "Lirola: MV 6.20 ± 0.89; FV 6.55 + 1.53\n",
+ "Lazzari: MV 6.01 ± 0.78; FV 6.01 + 0.92\n",
+ "Bani: MV 5.76 ± 1.04; FV 5.88 + 1.37\n",
+ "Djidji: MV 5.66 ± 1.00; FV 5.59 + 1.21\n",
+ "Kabasele: MV 5.67 ± 0.99; FV 5.56 + 1.17\n",
+ "Lazaro: MV 5.99 ± 0.83; FV 6.02 + 1.08\n",
+ "Augello: MV 5.66 ± 0.88; FV 5.69 + 1.01\n",
+ "Zortea: MV 6.11 ± 0.80; FV 6.40 + 1.25\n",
+ "Dawidowicz: MV 5.67 ± 1.02; FV 5.65 + 1.23\n",
+ "Pirola: MV 5.82 ± 1.05; FV 5.93 + 1.38\n",
+ "Lovato: MV 5.67 ± 0.88; FV 5.58 + 0.94\n",
+ "Ruggeri: MV 6.14 ± 0.93; FV 6.40 + 1.39\n",
+ "Vina: MV 5.70 ± 0.95; FV 5.68 + 1.02\n",
+ "Obert: MV 5.57 ± 1.01; FV 5.52 + 1.09\n",
+ "Terracciano F.: MV 6.02 ± 0.79; FV 6.12 + 1.04\n",
+ "Ebosele: MV 5.69 ± 0.90; FV 5.69 + 1.00\n",
+ "Zemura: MV 5.85 ± 0.89; FV 5.81 + 1.02\n",
+ "Hatzidiakos: MV 5.73 ± 0.90; FV 5.73 + 1.07\n",
+ "Patric: MV 6.02 ± 0.66; FV 6.01 + 0.67\n",
+ "Lykogiannis: MV 5.71 ± 0.73; FV 5.78 + 0.85\n",
+ "Pellegrini Lu.: MV 5.86 ± 0.66; FV 5.82 + 0.71\n",
+ "Magnani: MV 5.64 ± 1.15; FV 5.65 + 1.40\n",
+ "Ranieri L.: MV 5.90 ± 0.66; FV 5.89 + 0.70\n",
+ "Carboni A.: MV 5.96 ± 0.78; FV 6.03 + 0.97\n",
+ "Calafiori: MV 5.91 ± 0.97; FV 6.03 + 1.29\n",
+ "Monterisi: MV 6.19 ± 1.07; FV 6.73 + 2.09\n",
+ "Ismajli: MV 5.47 ± 0.86; FV 5.39 + 0.83\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Ferrari G.: MV 5.95 ± 0.93; FV 6.06 + 1.25\n",
- "Lirola: MV 6.12 ± 0.82; FV 6.25 + 1.21\n",
- "Bereszynski: MV 5.62 ± 0.96; FV 5.51 + 1.06\n",
- "Venuti: MV 5.94 ± 0.74; FV 5.93 + 0.79\n",
- "Karsdorp: MV 6.04 ± 0.54; FV 6.08 + 0.55\n",
- "Bani: MV 5.74 ± 1.23; FV 5.80 + 1.52\n",
- "Kjaer: MV 5.89 ± 0.72; FV 5.82 + 0.78\n",
- "Gunter: MV 5.73 ± 1.05; FV 5.53 + 1.10\n",
- "Magnani: MV 5.90 ± 1.08; FV 5.69 + 1.16\n",
- "Soumaoro: MV 5.92 ± 1.01; FV 5.68 + 1.08\n",
- "Carboni A.: MV 5.93 ± 0.80; FV 5.87 + 0.94\n",
- "Di Pardo: MV 5.97 ± 0.73; FV 5.97 + 0.68\n",
- "Zanoli: MV 6.20 ± 1.04; FV 6.70 + 1.91\n",
- "Zima: MV 5.98 ± 0.69; FV 6.04 + 0.83\n",
- "Hefti: MV 5.56 ± 1.12; FV 5.48 + 1.17\n",
- "Ostigard: MV 6.05 ± 0.64; FV 6.05 + 0.69\n",
- "Sambia: MV 6.01 ± 0.67; FV 5.99 + 0.59\n",
- "Bisseck: MV 5.87 ± 0.89; FV 5.85 + 0.99\n",
- "Dorgu: MV 6.08 ± 0.76; FV 6.14 + 0.93\n",
- "Touba: MV 6.06 ± 0.86; FV 6.19 + 1.17\n",
- "Sazonov: MV 6.01 ± 0.90; FV 6.18 + 1.28\n",
- "Rugani: MV 6.07 ± 0.62; FV 6.05 + 0.61\n",
- "De Sciglio: MV 5.92 ± 0.68; FV 5.89 + 0.67\n",
- "Florenzi: MV 5.91 ± 0.74; FV 6.02 + 0.93\n",
- "Fazio: MV 5.96 ± 1.15; FV 5.81 + 1.23\n",
- "Bonifazi: MV 5.81 ± 0.83; FV 5.64 + 0.87\n",
- "Walukiewicz: MV 5.79 ± 0.76; FV 5.69 + 0.76\n",
- "Kumbulla: MV 6.10 ± 1.33; FV 5.92 + 1.35\n",
- "Celik: MV 5.94 ± 0.64; FV 5.90 + 0.65\n",
- "Amione: MV 5.93 ± 0.97; FV 5.82 + 1.14\n",
- "Daniliuc: MV 5.91 ± 0.90; FV 5.83 + 0.92\n",
- "Haps: MV 5.70 ± 1.17; FV 5.77 + 1.36\n",
- "De Winter: MV 5.58 ± 1.18; FV 5.39 + 1.22\n",
- "Cittadini: MV 5.83 ± 1.02; FV 5.82 + 1.25\n",
- "Coppola D.: MV 5.83 ± 0.80; FV 5.70 + 0.87\n",
- "Cacace: MV 5.52 ± 0.88; FV 5.40 + 0.83\n",
- "Ebosse: MV 5.91 ± 0.62; FV 5.86 + 0.65\n",
- "Cabal: MV 5.97 ± 0.53; FV 5.92 + 0.50\n",
- "Missori: MV 5.96 ± 0.82; FV 6.03 + 1.04\n",
- "Kayode: MV 5.92 ± 0.93; FV 5.91 + 1.06\n",
- "Oyono: MV 6.06 ± 0.72; FV 6.07 + 0.91\n",
- "Ferreira J.: MV 5.93 ± 0.66; FV 5.92 + 0.72\n",
- "Corazza: MV 5.89 ± 0.75; FV 5.79 + 0.84\n",
- "Kristensen T.: MV 5.97 ± 0.76; FV 6.02 + 0.90\n",
- "Dermaku: MV 6.04 ± 0.84; FV 6.14 + 1.09\n",
- "Tonelli: MV 5.59 ± 1.09; FV 5.40 + 1.22\n",
- "Capradossi: MV 6.05 ± 0.78; FV 6.08 + 0.86\n",
- "De Silvestri: MV 6.01 ± 0.81; FV 6.09 + 1.04\n",
- "Pereira P.: MV 5.75 ± 0.84; FV 5.68 + 0.96\n",
- "Bettella: MV 5.83 ± 1.02; FV 5.82 + 1.25\n",
- "Okoli: MV 5.96 ± 0.74; FV 5.90 + 0.80\n",
- "Amey: MV 5.99 ± 0.94; FV 5.93 + 1.13\n",
- "Soppy: MV 5.78 ± 0.92; FV 5.77 + 1.12\n",
- "Gila: MV 5.78 ± 0.91; FV 5.75 + 1.00\n",
- "Guessand A.: MV 5.98 ± 0.74; FV 6.01 + 0.86\n",
- "Bronn: MV 5.83 ± 0.74; FV 5.75 + 0.66\n",
- "Guarino: MV 5.93 ± 1.00; FV 5.90 + 1.22\n",
- "Carboni F.: MV 5.70 ± 0.86; FV 5.62 + 0.97\n",
- "Smajlovic: MV 6.06 ± 0.86; FV 6.19 + 1.17\n",
- "Matturro: MV 5.80 ± 1.16; FV 5.82 + 1.37\n",
- "N'guessan: MV 6.01 ± 0.90; FV 6.18 + 1.28\n",
- "Mateus Lusuardi: MV 6.12 ± 0.82; FV 6.25 + 1.21\n",
- "Kalaj: MV 6.12 ± 0.82; FV 6.25 + 1.21\n",
- "Pierozzi: MV 5.82 ± 0.98; FV 5.82 + 1.17\n",
- "Huijsen: MV 6.09 ± 0.87; FV 6.24 + 1.20\n",
- "Bonfanti: MV 5.91 ± 1.07; FV 5.83 + 1.18\n",
- "Pellegrino: MV 5.75 ± 1.09; FV 5.80 + 1.30\n",
- "Zaccagni: MV 6.18 ± 0.96; FV 6.47 + 1.54\n",
- "Koopmeiners: MV 6.42 ± 1.31; FV 7.30 + 2.92\n",
- "Felipe Anderson: MV 6.06 ± 1.07; FV 6.41 + 1.72\n",
- "Luis Alberto: MV 6.18 ± 0.94; FV 6.45 + 1.50\n",
- "Rabiot: MV 6.41 ± 1.18; FV 7.23 + 2.72\n",
- "Zielinski: MV 6.37 ± 0.89; FV 6.74 + 1.67\n",
- "Barella: MV 6.23 ± 0.98; FV 6.63 + 1.74\n",
- "Pulisic: MV 6.05 ± 0.81; FV 6.24 + 1.13\n",
- "Orsolini: MV 6.27 ± 1.24; FV 7.01 + 2.62\n",
- "Chukwueze: MV 5.92 ± 0.70; FV 6.06 + 0.90\n",
- "Strefezza: MV 6.29 ± 1.08; FV 6.87 + 2.16\n",
- "Ferguson: MV 6.37 ± 1.15; FV 7.02 + 2.38\n",
- "Candreva: MV 6.39 ± 1.17; FV 7.11 + 2.47\n",
- "Calhanoglu: MV 6.30 ± 0.93; FV 6.64 + 1.61\n",
- "Frattesi: MV 6.17 ± 1.02; FV 6.55 + 1.72\n",
- "Samardzic: MV 6.14 ± 0.92; FV 6.50 + 1.61\n",
- "Vlasic: MV 6.18 ± 1.08; FV 6.63 + 1.92\n",
- "El Shaarawy: MV 6.44 ± 0.98; FV 6.99 + 2.14\n",
- "Aouar: MV 6.38 ± 1.05; FV 7.06 + 2.38\n",
- "Bonaventura: MV 6.14 ± 1.10; FV 6.54 + 1.81\n",
- "Pellegrini Lo.: MV 6.30 ± 1.10; FV 7.02 + 2.43\n",
- "Politano: MV 6.36 ± 0.87; FV 6.69 + 1.59\n",
- "Malinovskyi: MV 6.04 ± 1.12; FV 6.54 + 2.02\n",
- "Lovric: MV 6.13 ± 0.84; FV 6.43 + 1.43\n",
- "Kamada: MV 5.97 ± 0.91; FV 6.18 + 1.31\n",
- "Lindstrom: MV 6.13 ± 0.90; FV 6.50 + 1.64\n",
- "Lazovic: MV 6.38 ± 1.15; FV 6.97 + 2.25\n",
- "Loftus-Cheek: MV 5.98 ± 0.67; FV 6.04 + 0.79\n",
- "Zambo Anguissa: MV 6.23 ± 0.96; FV 6.61 + 1.59\n",
- "Elmas: MV 6.24 ± 0.98; FV 6.69 + 1.84\n",
- "Kostic: MV 6.33 ± 1.01; FV 6.84 + 1.98\n",
- "Gudmundsson A.: MV 5.99 ± 0.97; FV 6.28 + 1.46\n",
- "Baldanzi: MV 6.15 ± 0.93; FV 6.49 + 1.59\n",
- "Ciurria: MV 6.12 ± 1.10; FV 6.54 + 1.87\n",
- "Pasalic: MV 6.02 ± 1.15; FV 6.47 + 1.78\n",
- "Mkhitaryan: MV 6.11 ± 0.89; FV 6.34 + 1.31\n",
- "Pessina: MV 6.00 ± 0.94; FV 6.19 + 1.36\n",
- "Guendouzi: MV 5.95 ± 0.72; FV 6.07 + 0.90\n",
- "Lobotka: MV 6.19 ± 0.75; FV 6.30 + 0.93\n",
- "Bajrami: MV 6.03 ± 0.83; FV 6.18 + 1.10\n",
- "Ricci S.: MV 6.07 ± 0.85; FV 6.31 + 1.34\n",
- "Reijnders: MV 5.97 ± 0.71; FV 6.09 + 0.90\n",
- "Pogba: MV 6.07 ± 0.76; FV 6.13 + 0.91\n",
- "Renato Sanches: MV 6.14 ± 0.60; FV 6.31 + 0.79\n",
- "Fagioli: MV 6.21 ± 1.02; FV 6.67 + 1.84\n",
- "Ikone': MV 6.01 ± 1.04; FV 6.40 + 1.69\n",
- "Ilic: MV 6.09 ± 0.89; FV 6.35 + 1.41\n",
- "Radonjic: MV 6.29 ± 1.13; FV 6.89 + 2.28\n",
- "Ndoye: MV 6.05 ± 0.82; FV 6.04 + 1.00\n",
- "Ederson D.s.: MV 6.18 ± 0.93; FV 6.49 + 1.40\n",
- "Colpani: MV 6.30 ± 1.06; FV 6.84 + 2.11\n",
- "De Roon: MV 6.10 ± 1.03; FV 6.29 + 1.35\n",
- "Locatelli: MV 6.14 ± 0.79; FV 6.22 + 1.02\n",
- "Barak: MV 5.81 ± 0.86; FV 5.99 + 1.15\n",
- "Saponara: MV 6.26 ± 1.06; FV 6.71 + 1.94\n",
- "Cristante: MV 6.12 ± 0.67; FV 6.23 + 0.81\n",
- "Mandragora: MV 5.90 ± 1.01; FV 6.18 + 1.47\n",
- "Weah: MV 6.06 ± 0.60; FV 6.08 + 0.65\n",
- "Bennacer: MV 6.02 ± 0.92; FV 6.19 + 1.25\n",
- "Klaassen: MV 6.03 ± 0.79; FV 6.22 + 1.16\n",
- "Castrovilli: MV 6.00 ± 1.09; FV 6.39 + 1.73\n",
- "Miranchuk: MV 6.34 ± 1.15; FV 6.90 + 2.15\n",
- "Musah: MV 5.85 ± 0.86; FV 5.92 + 1.06\n",
- "Matheus Henrique: MV 6.02 ± 0.98; FV 6.37 + 1.62\n",
- "De Ketelaere: MV 6.04 ± 1.03; FV 6.40 + 1.50\n",
- "Mboula: MV 5.93 ± 0.61; FV 5.89 + 0.65\n",
- "Cataldi: MV 5.95 ± 0.68; FV 5.92 + 0.73\n",
- "Jankto: MV 6.02 ± 0.60; FV 6.00 + 0.55\n",
- "Sottil: MV 5.86 ± 0.73; FV 6.00 + 0.86\n",
- "Arthur Melo: MV 5.97 ± 0.98; FV 5.99 + 1.16\n",
- "Duda: MV 6.31 ± 1.16; FV 6.88 + 2.21\n",
- "Thorsby: MV 5.71 ± 1.17; FV 5.84 + 1.48\n",
- "Nandez: MV 6.08 ± 0.65; FV 6.15 + 0.76\n",
- "Tameze: MV 5.89 ± 0.84; FV 5.92 + 1.06\n",
- "Marin: MV 6.05 ± 0.94; FV 6.19 + 1.33\n",
- "Messias: MV 5.96 ± 1.20; FV 6.50 + 2.03\n",
- "Mckennie: MV 6.25 ± 0.79; FV 6.50 + 1.23\n",
- "Reinier: MV 6.10 ± 0.81; FV 6.19 + 1.15\n",
- "Zalewski: MV 6.09 ± 0.69; FV 6.26 + 0.92\n",
- "Coulibaly L.: MV 6.14 ± 0.97; FV 6.46 + 1.46\n",
- "Harroui: MV 6.36 ± 0.89; FV 6.81 + 1.82\n",
- "Krunic: MV 5.94 ± 0.76; FV 6.00 + 0.96\n",
- "Paredes: MV 6.07 ± 0.78; FV 6.16 + 1.02\n",
- "Freuler: MV 6.03 ± 0.57; FV 6.00 + 0.63\n",
- "Gagliardini: MV 5.75 ± 0.84; FV 5.62 + 0.87\n",
- "Kastanos: MV 6.10 ± 0.72; FV 6.20 + 0.82\n",
- "Lopez M.: MV 5.73 ± 0.82; FV 5.61 + 0.84\n",
- "Gyasi: MV 5.61 ± 0.88; FV 5.65 + 0.94\n",
- "Frendrup: MV 5.92 ± 0.81; FV 6.02 + 1.03\n",
- "Moro N.: MV 6.18 ± 0.83; FV 6.43 + 1.31\n",
- "Ramadani: MV 6.16 ± 0.91; FV 6.35 + 1.28\n",
- "Mancosu: MV 6.04 ± 0.78; FV 6.05 + 0.83\n",
- "Vecino: MV 5.91 ± 0.88; FV 6.01 + 1.17\n",
- "Strootman: MV 5.84 ± 0.75; FV 5.92 + 0.94\n",
- "Duncan: MV 5.94 ± 0.82; FV 6.15 + 1.21\n",
- "Machin: MV 5.89 ± 0.98; FV 5.89 + 1.22\n",
- "Sensi: MV 5.95 ± 0.93; FV 6.04 + 1.20\n",
- "Linetty: MV 5.95 ± 0.81; FV 6.04 + 1.11\n",
- "Walace: MV 5.93 ± 0.66; FV 5.89 + 0.66\n",
- "Brescianini: MV 6.08 ± 0.68; FV 6.09 + 0.85\n",
- "Pobega: MV 5.88 ± 0.71; FV 5.94 + 0.88\n",
- "Bove: MV 6.11 ± 0.68; FV 6.34 + 1.01\n",
- "Aebischer: MV 6.00 ± 0.63; FV 6.11 + 0.81\n",
- "Thorstvedt: MV 6.00 ± 0.78; FV 6.14 + 1.07\n",
- "Blin: MV 6.01 ± 0.64; FV 6.03 + 0.72\n",
- "Gonzalez J.: MV 5.99 ± 0.80; FV 6.11 + 1.07\n",
- "Oudin: MV 6.15 ± 0.97; FV 6.55 + 1.65\n",
- "Fabbian: MV 6.27 ± 0.87; FV 6.68 + 1.78\n",
- "Rafia: MV 6.14 ± 0.80; FV 6.40 + 1.32\n",
- "Cajuste : MV 6.01 ± 0.94; FV 6.08 + 1.17\n",
- "Kaba: MV 6.03 ± 0.64; FV 6.03 + 0.72\n",
- "Grassi: MV 5.95 ± 0.73; FV 5.90 + 0.78\n",
- "Badelj: MV 5.70 ± 1.06; FV 5.66 + 1.10\n",
- "Mazzitelli: MV 6.07 ± 0.82; FV 6.13 + 1.11\n",
- "Castillejo: MV 6.01 ± 0.76; FV 6.19 + 1.13\n",
- "Hongla: MV 5.99 ± 0.77; FV 6.03 + 0.90\n",
- "Miretti: MV 6.04 ± 0.76; FV 6.12 + 0.91\n",
- "Fazzini: MV 5.87 ± 0.59; FV 5.85 + 0.63\n",
- "Iling Junior: MV 6.08 ± 0.86; FV 6.22 + 1.18\n",
- "Oristanio: MV 5.98 ± 0.67; FV 5.96 + 0.60\n",
- "Boloca: MV 5.92 ± 0.86; FV 5.96 + 1.09\n",
- "Makoumbou: MV 6.01 ± 0.63; FV 6.07 + 0.74\n",
- "Martegani: MV 6.07 ± 0.82; FV 6.08 + 0.85\n",
- "Serdar: MV 5.99 ± 0.77; FV 5.95 + 0.88\n",
- "Payero: MV 5.97 ± 0.74; FV 6.01 + 0.91\n",
- "Baez: MV 6.15 ± 0.67; FV 6.37 + 1.03\n",
- "Deiola: MV 6.03 ± 0.74; FV 6.13 + 0.91\n",
- "Bourabia: MV 6.11 ± 0.76; FV 6.25 + 1.06\n",
- "Rovella: MV 6.02 ± 0.99; FV 6.13 + 1.28\n",
- "Saelemaekers: MV 6.17 ± 0.96; FV 6.52 + 1.58\n",
- "Maldini: MV 6.13 ± 0.93; FV 6.46 + 1.57\n",
- "Racic: MV 6.00 ± 0.72; FV 6.03 + 0.87\n",
- "Kovalenko: MV 5.98 ± 0.69; FV 6.01 + 0.80\n",
- "Maleh: MV 5.74 ± 0.61; FV 5.71 + 0.70\n",
- "Bohinen: MV 5.96 ± 0.53; FV 5.90 + 0.44\n",
- "Ranocchia F.: MV 6.20 ± 0.90; FV 6.46 + 1.40\n"
+ "De Winter: MV 5.82 ± 0.83; FV 5.72 + 0.86\n",
+ "Tressoldi: MV 5.71 ± 0.86; FV 5.74 + 1.05\n",
+ "Ehizibue: MV 5.61 ± 1.06; FV 5.63 + 1.22\n",
+ "Vogliacco: MV 5.84 ± 0.85; FV 5.83 + 0.96\n",
+ "Ferrari G.: MV 5.60 ± 1.00; FV 5.63 + 1.14\n",
+ "Venuti: MV 5.89 ± 0.77; FV 5.86 + 0.79\n",
+ "Karsdorp: MV 5.87 ± 0.56; FV 5.85 + 0.51\n",
+ "Kjaer: MV 5.79 ± 0.54; FV 5.79 + 0.46\n",
+ "Gunter: MV 5.56 ± 1.17; FV 5.50 + 1.38\n",
+ "Soumaoro: MV 5.78 ± 1.30; FV 5.74 + 1.46\n",
+ "Di Pardo: MV 5.60 ± 0.97; FV 5.54 + 1.05\n",
+ "Zanoli: MV 6.08 ± 0.92; FV 6.39 + 1.42\n",
+ "Zima: MV 5.81 ± 0.75; FV 5.74 + 0.77\n",
+ "Hefti: MV 5.70 ± 0.82; FV 5.61 + 0.85\n",
+ "Ostigard: MV 5.76 ± 0.64; FV 5.75 + 0.59\n",
+ "Sambia: MV 5.95 ± 0.78; FV 5.99 + 0.93\n",
+ "Bisseck: MV 6.28 ± 0.75; FV 6.46 + 1.16\n",
+ "Oyono: MV 6.04 ± 0.72; FV 6.08 + 0.78\n",
+ "Ferreira J.: MV 5.62 ± 0.97; FV 5.54 + 1.07\n",
+ "Dorgu: MV 6.10 ± 0.67; FV 6.12 + 0.78\n",
+ "Touba: MV 6.05 ± 0.79; FV 6.12 + 1.00\n",
+ "Sazonov: MV 5.79 ± 1.12; FV 5.72 + 1.35\n",
+ "Rugani: MV 6.13 ± 0.60; FV 6.16 + 0.68\n",
+ "De Sciglio: MV 5.98 ± 0.68; FV 6.00 + 0.75\n",
+ "Goldaniga: MV 5.52 ± 0.98; FV 5.44 + 1.02\n",
+ "Florenzi: MV 6.05 ± 0.58; FV 6.08 + 0.60\n",
+ "De Silvestri: MV 5.83 ± 0.74; FV 5.90 + 0.90\n",
+ "Pereira P.: MV 5.91 ± 0.78; FV 5.94 + 0.95\n",
+ "Fazio: MV 5.84 ± 1.27; FV 5.98 + 1.65\n",
+ "Bereszynski: MV 5.42 ± 0.88; FV 5.36 + 0.83\n",
+ "Bonifazi: MV 5.61 ± 1.09; FV 5.47 + 1.18\n",
+ "Walukiewicz: MV 5.36 ± 0.80; FV 5.30 + 0.63\n",
+ "Okoli: MV 5.95 ± 0.73; FV 5.93 + 0.75\n",
+ "Kumbulla: MV 5.35 ± 1.44; FV 5.20 + 1.41\n",
+ "Celik: MV 5.61 ± 0.86; FV 5.49 + 0.84\n",
+ "Amione: MV 5.61 ± 0.97; FV 5.58 + 1.15\n",
+ "Daniliuc: MV 5.76 ± 1.07; FV 5.79 + 1.33\n",
+ "Soppy: MV 5.73 ± 0.86; FV 5.70 + 1.02\n",
+ "Haps: MV 5.78 ± 0.86; FV 5.83 + 1.08\n",
+ "Cittadini: MV 5.94 ± 0.88; FV 6.05 + 1.19\n",
+ "Coppola D.: MV 5.64 ± 0.87; FV 5.55 + 0.97\n",
+ "Cacace: MV 5.43 ± 0.74; FV 5.34 + 0.66\n",
+ "Ebosse: MV 5.48 ± 0.96; FV 5.41 + 0.93\n",
+ "Guessand A.: MV 5.67 ± 1.05; FV 5.61 + 1.24\n",
+ "Cabal: MV 5.73 ± 0.58; FV 5.63 + 0.59\n",
+ "Missori: MV 5.69 ± 0.77; FV 5.67 + 0.88\n",
+ "Kayode: MV 6.02 ± 0.67; FV 6.05 + 0.67\n",
+ "Corazza: MV 5.66 ± 0.84; FV 5.63 + 0.92\n",
+ "Kristensen T.: MV 5.75 ± 1.13; FV 5.70 + 1.44\n",
+ "Dermaku: MV 6.02 ± 0.85; FV 6.11 + 1.09\n",
+ "Tonelli: MV 5.41 ± 0.96; FV 5.35 + 0.94\n",
+ "Capradossi: MV 5.66 ± 1.03; FV 5.68 + 1.23\n",
+ "Bettella: MV 5.94 ± 0.88; FV 6.05 + 1.19\n",
+ "Amey: MV 5.76 ± 1.09; FV 5.83 + 1.37\n",
+ "Gila: MV 5.93 ± 0.78; FV 5.93 + 0.84\n",
+ "Bronn: MV 5.64 ± 0.91; FV 5.53 + 0.93\n",
+ "Guarino: MV 5.51 ± 0.90; FV 5.48 + 0.94\n",
+ "Carboni F.: MV 5.98 ± 0.78; FV 6.05 + 0.98\n",
+ "Smajlovic: MV 6.03 ± 0.88; FV 6.15 + 1.17\n",
+ "Matturro: MV 5.84 ± 0.85; FV 5.83 + 0.96\n",
+ "N'guessan: MV 5.79 ± 1.12; FV 5.72 + 1.35\n",
+ "Mateus Lusuardi: MV 6.05 ± 0.89; FV 6.20 + 1.15\n",
+ "Kalaj: MV 6.05 ± 0.89; FV 6.20 + 1.15\n",
+ "Pierozzi: MV 5.98 ± 0.72; FV 6.01 + 0.75\n",
+ "Huijsen: MV 6.10 ± 0.84; FV 6.32 + 1.33\n",
+ "Bonfanti: MV 6.06 ± 0.73; FV 6.14 + 0.89\n",
+ "Pellegrino: MV 6.02 ± 0.78; FV 6.08 + 0.88\n",
+ "Comuzzo: MV 5.98 ± 0.72; FV 6.01 + 0.75\n",
+ "Zaccagni: MV 6.34 ± 1.07; FV 7.04 + 2.49\n",
+ "Koopmeiners: MV 6.41 ± 1.04; FV 7.19 + 2.57\n",
+ "Luis Alberto: MV 6.41 ± 1.05; FV 7.19 + 2.62\n",
+ "Felipe Anderson: MV 6.15 ± 1.18; FV 6.87 + 2.56\n",
+ "Rabiot: MV 6.40 ± 1.17; FV 7.36 + 3.00\n",
+ "Zielinski: MV 6.27 ± 0.84; FV 6.58 + 1.44\n",
+ "Barella: MV 6.55 ± 0.86; FV 6.97 + 1.99\n",
+ "Pulisic: MV 6.26 ± 1.01; FV 6.79 + 1.96\n",
+ "Orsolini: MV 6.21 ± 1.25; FV 6.97 + 2.66\n",
+ "Calhanoglu: MV 6.61 ± 0.75; FV 6.79 + 1.50\n",
+ "Strefezza: MV 6.27 ± 1.04; FV 6.84 + 2.11\n",
+ "Chukwueze: MV 6.07 ± 0.75; FV 6.28 + 1.03\n",
+ "Ferguson: MV 6.21 ± 1.08; FV 6.74 + 2.06\n",
+ "Candreva: MV 6.21 ± 1.26; FV 6.97 + 2.68\n",
+ "Frattesi: MV 6.52 ± 1.02; FV 7.36 + 2.82\n",
+ "Samardzic: MV 6.07 ± 1.11; FV 6.59 + 1.98\n",
+ "Vlasic: MV 6.14 ± 1.13; FV 6.69 + 2.07\n",
+ "Bonaventura: MV 6.21 ± 0.98; FV 6.72 + 1.90\n",
+ "Politano: MV 6.33 ± 0.81; FV 6.63 + 1.48\n",
+ "El Shaarawy: MV 6.26 ± 0.92; FV 6.63 + 1.69\n",
+ "Mkhitaryan: MV 6.54 ± 0.94; FV 7.17 + 2.42\n",
+ "Aouar: MV 6.13 ± 1.01; FV 6.63 + 1.90\n",
+ "Malinovskyi: MV 5.95 ± 1.05; FV 6.42 + 1.86\n",
+ "Gudmundsson A.: MV 6.03 ± 0.88; FV 6.33 + 1.41\n",
+ "Kamada: MV 6.09 ± 0.98; FV 6.57 + 1.90\n",
+ "Pellegrini Lo.: MV 5.98 ± 1.15; FV 6.51 + 1.97\n",
+ "Kostic: MV 6.33 ± 1.04; FV 6.99 + 2.31\n",
+ "Radonjic: MV 6.34 ± 1.25; FV 7.23 + 2.88\n",
+ "Baldanzi: MV 5.59 ± 0.76; FV 5.61 + 0.86\n",
+ "Lovric: MV 6.14 ± 1.07; FV 6.60 + 1.88\n",
+ "Lindstrom: MV 6.10 ± 0.81; FV 6.34 + 1.23\n",
+ "Lazovic: MV 6.13 ± 1.02; FV 6.53 + 1.74\n",
+ "Pereyra: MV 6.20 ± 1.23; FV 6.83 + 2.49\n",
+ "Renato Sanches: MV 6.13 ± 0.77; FV 6.36 + 1.08\n",
+ "Pessina: MV 6.09 ± 0.94; FV 6.48 + 1.66\n",
+ "Guendouzi: MV 6.04 ± 0.69; FV 6.16 + 0.86\n",
+ "Loftus-Cheek: MV 6.12 ± 0.64; FV 6.15 + 0.66\n",
+ "Zambo Anguissa: MV 6.08 ± 0.93; FV 6.37 + 1.34\n",
+ "Elmas: MV 6.04 ± 0.98; FV 6.42 + 1.57\n",
+ "Bajrami: MV 5.90 ± 0.65; FV 5.95 + 0.74\n",
+ "Ricci S.: MV 6.02 ± 0.85; FV 6.14 + 1.21\n",
+ "Colpani: MV 6.35 ± 1.05; FV 7.08 + 2.50\n",
+ "Ciurria: MV 6.17 ± 1.02; FV 6.71 + 2.04\n",
+ "De Roon: MV 6.16 ± 0.81; FV 6.38 + 1.18\n",
+ "Pogba: MV 6.09 ± 0.72; FV 6.19 + 0.98\n",
+ "Cristante: MV 6.11 ± 1.04; FV 6.32 + 1.47\n",
+ "Locatelli: MV 6.17 ± 0.77; FV 6.33 + 1.15\n",
+ "Pasalic: MV 6.05 ± 0.80; FV 6.36 + 1.28\n",
+ "Lobotka: MV 6.06 ± 0.65; FV 6.11 + 0.66\n",
+ "Fagioli: MV 6.19 ± 1.02; FV 6.72 + 2.01\n",
+ "Ikone': MV 6.02 ± 0.93; FV 6.40 + 1.55\n",
+ "Ilic: MV 6.03 ± 0.97; FV 6.27 + 1.49\n",
+ "Ndoye: MV 5.83 ± 0.88; FV 5.96 + 1.14\n",
+ "Ederson D.s.: MV 6.13 ± 0.81; FV 6.31 + 1.10\n",
+ "Reijnders: MV 6.17 ± 0.76; FV 6.37 + 1.06\n",
+ "Barak: MV 5.95 ± 0.71; FV 6.05 + 0.81\n",
+ "Saponara: MV 6.02 ± 1.02; FV 6.42 + 1.69\n",
+ "Mandragora: MV 6.03 ± 0.90; FV 6.33 + 1.41\n",
+ "Weah: MV 6.09 ± 0.59; FV 6.21 + 0.74\n",
+ "Bennacer: MV 6.24 ± 0.82; FV 6.54 + 1.32\n",
+ "Duda: MV 6.17 ± 1.11; FV 6.71 + 2.09\n",
+ "Castrovilli: MV 6.04 ± 0.99; FV 6.46 + 1.69\n",
+ "Mckennie: MV 6.35 ± 0.94; FV 6.84 + 1.93\n",
+ "Miranchuk: MV 6.22 ± 0.84; FV 6.60 + 1.49\n",
+ "Matheus Henrique: MV 5.77 ± 0.78; FV 5.87 + 1.02\n",
+ "De Ketelaere: MV 6.06 ± 0.82; FV 6.27 + 1.10\n",
+ "Mboula: MV 5.62 ± 0.76; FV 5.60 + 0.82\n",
+ "Paredes: MV 5.77 ± 1.07; FV 5.70 + 1.16\n",
+ "Sottil: MV 6.01 ± 0.62; FV 6.11 + 0.69\n",
+ "Klaassen: MV 6.40 ± 0.83; FV 6.81 + 1.78\n",
+ "Arthur Melo: MV 6.03 ± 0.76; FV 6.06 + 0.78\n",
+ "Thorsby: MV 5.72 ± 0.90; FV 5.79 + 1.16\n",
+ "Nandez: MV 5.94 ± 0.71; FV 6.04 + 1.00\n",
+ "Tameze: MV 5.80 ± 0.87; FV 5.74 + 1.01\n",
+ "Marin: MV 5.56 ± 0.85; FV 5.54 + 0.93\n",
+ "Messias: MV 5.86 ± 1.02; FV 6.23 + 1.61\n",
+ "Musah: MV 6.03 ± 0.61; FV 6.03 + 0.63\n",
+ "Coulibaly L.: MV 6.05 ± 1.05; FV 6.36 + 1.62\n",
+ "Krunic: MV 6.05 ± 0.68; FV 6.04 + 0.69\n",
+ "Cataldi: MV 5.96 ± 0.69; FV 5.94 + 0.68\n",
+ "Strootman: MV 5.87 ± 0.69; FV 5.92 + 0.86\n",
+ "Duncan: MV 6.08 ± 0.76; FV 6.33 + 1.11\n",
+ "Freuler: MV 5.92 ± 0.65; FV 5.96 + 0.79\n",
+ "Gagliardini: MV 5.88 ± 0.75; FV 5.85 + 0.79\n",
+ "Mazzitelli: MV 6.27 ± 1.12; FV 6.89 + 2.24\n",
+ "Jankto: MV 5.82 ± 0.67; FV 5.79 + 0.73\n",
+ "Kastanos: MV 5.95 ± 0.75; FV 6.08 + 0.99\n",
+ "Gyasi: MV 5.52 ± 0.74; FV 5.45 + 0.77\n",
+ "Reinier: MV 6.04 ± 0.87; FV 6.19 + 1.12\n",
+ "Zalewski: MV 5.97 ± 0.75; FV 6.06 + 0.84\n",
+ "Harroui: MV 6.27 ± 0.92; FV 6.73 + 1.77\n",
+ "Frendrup: MV 5.94 ± 0.68; FV 6.00 + 0.87\n",
+ "Blin: MV 6.03 ± 0.61; FV 6.03 + 0.69\n",
+ "Fabbian: MV 6.09 ± 0.95; FV 6.48 + 1.69\n",
+ "Ramadani: MV 6.20 ± 0.90; FV 6.36 + 1.25\n",
+ "Cajuste : MV 5.92 ± 0.87; FV 5.94 + 0.96\n",
+ "Mancosu: MV 5.69 ± 0.99; FV 5.73 + 1.21\n",
+ "Vecino: MV 5.96 ± 0.82; FV 6.04 + 1.06\n",
+ "Sensi: MV 6.42 ± 0.87; FV 6.88 + 1.88\n",
+ "Walace: MV 5.65 ± 1.00; FV 5.61 + 1.10\n",
+ "Lopez M.: MV 5.90 ± 0.61; FV 5.85 + 0.54\n",
+ "Brescianini: MV 6.09 ± 0.69; FV 6.15 + 0.78\n",
+ "Bove: MV 6.02 ± 0.72; FV 6.17 + 0.90\n",
+ "Aebischer: MV 5.83 ± 0.72; FV 5.98 + 0.96\n",
+ "Thorstvedt: MV 5.86 ± 0.62; FV 5.89 + 0.70\n",
+ "Gonzalez J.: MV 5.98 ± 0.75; FV 6.07 + 1.03\n",
+ "Moro N.: MV 6.03 ± 0.85; FV 6.28 + 1.32\n",
+ "Oudin: MV 6.14 ± 0.94; FV 6.49 + 1.59\n",
+ "Boloca: MV 5.73 ± 0.88; FV 5.75 + 1.07\n",
+ "Rafia: MV 6.15 ± 0.74; FV 6.37 + 1.23\n",
+ "Makoumbou: MV 5.78 ± 0.70; FV 5.80 + 0.83\n",
+ "Kaba: MV 6.04 ± 0.57; FV 6.02 + 0.62\n",
+ "Badelj: MV 5.86 ± 0.75; FV 5.83 + 0.78\n",
+ "Machin: MV 5.95 ± 0.88; FV 6.06 + 1.20\n",
+ "Linetty: MV 5.81 ± 0.84; FV 5.78 + 1.02\n",
+ "Castillejo: MV 5.79 ± 0.59; FV 5.86 + 0.70\n",
+ "Rovella: MV 6.09 ± 0.95; FV 6.22 + 1.27\n",
+ "Pobega: MV 6.02 ± 0.64; FV 6.10 + 0.74\n",
+ "Hongla: MV 5.72 ± 0.82; FV 5.79 + 0.98\n",
+ "Miretti: MV 6.05 ± 0.75; FV 6.26 + 1.08\n",
+ "Fazzini: MV 5.55 ± 0.64; FV 5.42 + 0.65\n",
+ "Iling Junior: MV 6.09 ± 0.84; FV 6.30 + 1.33\n",
+ "Oristanio: MV 5.68 ± 0.84; FV 5.63 + 0.90\n",
+ "Serdar: MV 5.73 ± 0.83; FV 5.75 + 1.00\n",
+ "Payero: MV 5.80 ± 1.04; FV 5.79 + 1.30\n",
+ "Grassi: MV 5.51 ± 0.78; FV 5.42 + 0.78\n",
+ "Baez: MV 6.08 ± 0.75; FV 6.29 + 1.02\n",
+ "Deiola: MV 5.66 ± 0.97; FV 5.68 + 1.14\n",
+ "Garritano: MV 6.22 ± 0.67; FV 6.30 + 0.83\n",
+ "Bourabia: MV 6.07 ± 0.80; FV 6.25 + 1.05\n",
+ "Saelemaekers: MV 5.92 ± 0.90; FV 6.19 + 1.34\n",
+ "Maldini: MV 5.64 ± 0.73; FV 5.69 + 0.89\n",
+ "Racic: MV 5.85 ± 0.63; FV 5.83 + 0.68\n",
+ "Kovalenko: MV 5.61 ± 0.67; FV 5.54 + 0.73\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Infantino: MV 5.72 ± 0.72; FV 5.62 + 0.74\n",
- "Kutlu: MV 5.81 ± 1.00; FV 5.83 + 1.15\n",
- "Tchatchoua: MV 6.02 ± 0.89; FV 6.02 + 1.08\n",
- "Garritano: MV 6.18 ± 0.71; FV 6.25 + 0.97\n",
- "Quina: MV 5.93 ± 0.64; FV 5.90 + 0.68\n",
- "Adopo: MV 5.96 ± 0.78; FV 5.96 + 0.79\n",
- "Maggiore: MV 5.95 ± 0.51; FV 5.90 + 0.45\n",
- "Romero L.: MV 5.99 ± 0.92; FV 6.24 + 1.35\n",
- "Basic: MV 5.96 ± 0.75; FV 6.00 + 0.90\n",
- "Asllani: MV 5.99 ± 0.67; FV 5.99 + 0.74\n",
- "Tchaouna: MV 6.11 ± 0.77; FV 6.13 + 0.80\n",
- "Sulemana I.: MV 5.93 ± 0.59; FV 5.90 + 0.53\n",
- "Barrenechea: MV 6.15 ± 0.72; FV 6.20 + 0.95\n",
- "Gelli: MV 6.12 ± 0.83; FV 6.22 + 1.18\n",
- "Folorunsho: MV 6.06 ± 1.02; FV 6.48 + 1.76\n",
- "Suslov: MV 6.02 ± 0.89; FV 6.02 + 1.08\n",
- "Gaetano: MV 6.29 ± 1.11; FV 6.95 + 2.38\n",
- "Jagiello: MV 5.85 ± 1.13; FV 5.89 + 1.32\n",
- "Obiang: MV 5.94 ± 0.65; FV 5.92 + 0.70\n",
- "Akpa Akpro: MV 5.89 ± 0.98; FV 5.89 + 1.22\n",
- "Urbanski: MV 6.03 ± 0.70; FV 6.01 + 0.85\n",
- "Volpato: MV 6.19 ± 0.89; FV 6.47 + 1.41\n",
- "Vignato S.: MV 5.82 ± 0.79; FV 5.77 + 0.92\n",
- "Hrustic: MV 5.62 ± 0.62; FV 5.59 + 0.65\n",
- "Zarraga: MV 5.89 ± 0.63; FV 5.86 + 0.68\n",
- "Camara E.: MV 5.97 ± 0.74; FV 6.01 + 0.91\n",
- "Amatucci: MV 5.81 ± 0.87; FV 5.78 + 1.00\n",
- "Viola: MV 5.92 ± 0.56; FV 5.88 + 0.46\n",
- "Lulic K.: MV 6.10 ± 0.81; FV 6.19 + 1.15\n",
- "Rog: MV 5.96 ± 0.66; FV 5.93 + 0.58\n",
- "Nicolussi Caviglia: MV 5.96 ± 0.88; FV 6.06 + 1.12\n",
- "Demme: MV 6.01 ± 0.54; FV 5.93 + 0.45\n",
- "Pafundi: MV 6.06 ± 0.57; FV 6.06 + 0.58\n",
- "Adli: MV 5.89 ± 0.76; FV 5.95 + 0.97\n",
- "Bondo: MV 5.94 ± 0.88; FV 5.91 + 1.07\n",
- "Zerbin: MV 6.09 ± 0.87; FV 6.24 + 1.15\n",
- "Carboni V.: MV 6.02 ± 0.76; FV 6.01 + 0.92\n",
- "Faticanti: MV 6.05 ± 0.86; FV 6.16 + 1.14\n",
- "Gineitis: MV 6.01 ± 0.91; FV 6.18 + 1.31\n",
- "Belardinelli: MV 5.97 ± 0.97; FV 5.97 + 1.21\n",
- "El Azzouzi: MV 6.03 ± 0.60; FV 5.99 + 0.65\n",
- "Lipani: MV 5.98 ± 0.88; FV 6.09 + 1.17\n",
- "Joselito: MV 6.02 ± 0.89; FV 6.02 + 1.08\n",
- "Pagano: MV 6.17 ± 0.63; FV 6.27 + 0.75\n",
- "Legowski: MV 6.07 ± 0.84; FV 6.09 + 0.90\n",
- "Prati: MV 6.04 ± 0.78; FV 6.05 + 0.83\n",
- "Osimhen: MV 6.53 ± 1.55; FV 8.10 + 4.32\n",
- "Martinez L.: MV 6.46 ± 1.44; FV 7.80 + 3.82\n",
- "Rafael Leao: MV 6.28 ± 1.29; FV 7.10 + 2.78\n",
- "Immobile: MV 6.03 ± 1.30; FV 6.63 + 2.28\n",
- "Berardi: MV 6.48 ± 1.40; FV 7.78 + 3.75\n",
- "Lukaku: MV 6.46 ± 1.55; FV 7.85 + 3.96\n",
- "Kvaratskhelia: MV 6.47 ± 1.44; FV 7.78 + 3.74\n",
- "Dybala: MV 6.52 ± 1.38; FV 7.84 + 3.77\n",
- "Vlahovic: MV 6.38 ± 1.45; FV 7.50 + 3.50\n",
- "Giroud: MV 6.16 ± 1.17; FV 6.79 + 2.29\n",
- "Scamacca: MV 6.41 ± 1.55; FV 7.58 + 3.65\n",
- "Dia: MV 6.44 ± 1.48; FV 7.73 + 3.78\n",
- "Thuram: MV 6.32 ± 1.09; FV 6.91 + 2.23\n",
- "Lookman: MV 6.40 ± 1.44; FV 7.57 + 3.57\n",
- "Sanabria: MV 6.25 ± 1.34; FV 7.12 + 2.92\n",
- "Arnautovic: MV 6.28 ± 1.19; FV 6.97 + 2.50\n",
- "Retegui: MV 5.80 ± 1.19; FV 6.22 + 1.63\n",
- "Nzola: MV 6.03 ± 1.26; FV 6.60 + 2.09\n",
- "Lauriente': MV 6.31 ± 1.27; FV 7.12 + 2.82\n",
- "Zapata D.: MV 5.99 ± 1.01; FV 6.37 + 1.64\n",
- "Chiesa: MV 6.42 ± 1.20; FV 7.25 + 2.75\n",
- "Milik: MV 6.31 ± 1.09; FV 6.94 + 2.28\n",
- "Gonzalez N.: MV 6.14 ± 1.28; FV 6.82 + 2.41\n",
- "Okafor: MV 5.85 ± 0.69; FV 5.92 + 0.81\n",
- "Toure' E.: MV 5.93 ± 1.06; FV 5.94 + 1.20\n",
- "Beltran L.: MV 5.82 ± 0.96; FV 6.20 + 1.44\n",
- "Lapadula: MV 6.24 ± 0.97; FV 6.74 + 1.96\n",
- "Caprari: MV 6.08 ± 0.97; FV 6.43 + 1.61\n",
- "Sanchez: MV 6.07 ± 0.91; FV 6.36 + 1.40\n",
- "Abraham: MV 6.41 ± 1.28; FV 7.54 + 3.34\n",
- "Caputo: MV 5.98 ± 1.13; FV 6.48 + 1.82\n",
- "Ngonge: MV 6.39 ± 1.35; FV 7.40 + 3.18\n",
- "Muriel: MV 6.22 ± 1.03; FV 6.67 + 1.81\n",
- "Pinamonti: MV 5.93 ± 1.14; FV 6.36 + 1.89\n",
- "Deulofeu: MV 6.38 ± 1.19; FV 7.24 + 2.82\n",
- "Jovic: MV 5.93 ± 1.21; FV 6.40 + 1.96\n",
- "Zirkzee: MV 6.38 ± 1.10; FV 7.00 + 2.32\n",
- "Krstovic: MV 6.28 ± 0.83; FV 6.61 + 1.46\n",
- "Petagna: MV 6.15 ± 0.90; FV 6.52 + 1.62\n",
- "Belotti: MV 6.27 ± 1.05; FV 6.78 + 1.97\n",
- "Simeone: MV 6.22 ± 1.02; FV 6.76 + 2.05\n",
- "Cambiaghi: MV 6.30 ± 1.06; FV 6.80 + 2.03\n",
- "Shomurodov: MV 5.91 ± 0.56; FV 5.96 + 0.56\n",
- "Azmoun: MV 6.23 ± 0.88; FV 6.61 + 1.65\n",
- "Castellanos: MV 5.97 ± 0.68; FV 6.00 + 0.77\n",
- "Thauvin: MV 5.90 ± 0.56; FV 5.99 + 0.67\n",
- "Pedro: MV 5.95 ± 0.90; FV 6.16 + 1.29\n",
- "Brekalo: MV 6.05 ± 1.16; FV 6.55 + 1.95\n",
- "Henry: MV 5.95 ± 1.15; FV 6.41 + 1.77\n",
- "Mulattieri: MV 6.09 ± 0.88; FV 6.50 + 1.71\n",
- "Almqvist: MV 6.18 ± 1.07; FV 6.67 + 1.90\n",
- "Isaksen: MV 5.80 ± 0.84; FV 5.84 + 0.99\n",
- "Karlsson: MV 6.31 ± 0.94; FV 6.76 + 1.90\n",
- "Kean: MV 6.00 ± 1.26; FV 6.56 + 2.29\n",
- "Karamoh: MV 6.08 ± 1.00; FV 6.48 + 1.70\n",
- "Djuric: MV 6.16 ± 0.72; FV 6.29 + 0.94\n",
- "Davis K.: MV 5.99 ± 0.75; FV 6.11 + 1.03\n",
- "Mota: MV 5.91 ± 1.13; FV 6.34 + 1.80\n",
- "Brenner: MV 5.99 ± 0.75; FV 6.11 + 1.03\n",
- "Cheddira: MV 6.28 ± 1.07; FV 7.04 + 2.53\n",
- "Defrel: MV 5.80 ± 0.92; FV 6.06 + 1.38\n",
- "Raspadori: MV 5.95 ± 0.90; FV 6.30 + 1.47\n",
- "Colombo: MV 5.86 ± 1.07; FV 6.26 + 1.68\n",
- "Luvumbo: MV 6.08 ± 0.69; FV 6.25 + 0.96\n",
- "Banda: MV 6.17 ± 0.90; FV 6.46 + 1.44\n",
- "Bonazzoli: MV 6.19 ± 1.15; FV 6.72 + 2.06\n",
- "Pellegri: MV 5.85 ± 0.97; FV 6.17 + 1.47\n",
- "Kouame': MV 5.93 ± 1.01; FV 6.30 + 1.58\n",
- "Piccoli: MV 6.03 ± 1.01; FV 6.50 + 1.78\n",
- "Success: MV 5.93 ± 0.82; FV 6.21 + 1.31\n",
- "Botheim: MV 6.00 ± 0.84; FV 6.24 + 1.13\n",
- "Lucca: MV 5.96 ± 0.88; FV 6.34 + 1.51\n",
- "Caso: MV 6.24 ± 0.84; FV 6.63 + 1.62\n",
- "Cancellieri: MV 5.68 ± 0.61; FV 5.73 + 0.67\n",
- "Jovane: MV 6.09 ± 0.86; FV 6.17 + 0.99\n",
- "Pavoletti: MV 6.09 ± 0.73; FV 6.29 + 1.08\n",
- "Soule': MV 6.32 ± 0.88; FV 6.68 + 1.59\n",
- "Alvarez A.: MV 5.95 ± 0.93; FV 6.28 + 1.50\n",
- "Cuni: MV 6.07 ± 0.62; FV 6.10 + 0.73\n",
- "Ekuban: MV 5.79 ± 0.71; FV 5.94 + 0.85\n",
- "Seck: MV 6.01 ± 0.70; FV 6.13 + 0.85\n",
- "Kvernadze: MV 6.07 ± 0.77; FV 6.15 + 1.03\n",
- "Destro: MV 5.68 ± 0.90; FV 5.90 + 1.10\n",
- "Van Hooijdonk: MV 6.02 ± 0.83; FV 6.04 + 1.04\n",
- "Ceide: MV 5.95 ± 0.71; FV 6.05 + 0.80\n",
- "Maric: MV 5.94 ± 0.78; FV 5.92 + 0.93\n",
- "Shpendi S.: MV 5.92 ± 0.87; FV 5.94 + 1.06\n",
- "Ikwuemesi: MV 5.96 ± 0.69; FV 5.93 + 0.63\n",
- "Puscas: MV 5.82 ± 1.11; FV 5.91 + 1.38\n",
- "Ake' M.: MV 5.96 ± 0.67; FV 5.96 + 0.73\n",
- "Braaf: MV 5.61 ± 0.77; FV 5.80 + 0.94\n",
- "Kallon: MV 5.98 ± 0.92; FV 6.30 + 1.42\n",
- "Kaio Jorge: MV 6.04 ± 0.59; FV 6.10 + 0.62\n",
- "Valencia D.: MV 5.94 ± 0.57; FV 5.91 + 0.55\n",
- "Vivaldo: MV 5.99 ± 0.75; FV 6.11 + 1.03\n",
- "Bidaoui: MV 6.13 ± 0.85; FV 6.30 + 1.28\n",
- "Burnete: MV 6.05 ± 0.80; FV 6.15 + 1.03\n",
- "Corfitzen: MV 6.06 ± 0.89; FV 6.22 + 1.22\n",
- "Stewart: MV 6.09 ± 0.86; FV 6.17 + 0.99\n",
- "Yildiz: MV 6.08 ± 0.88; FV 6.24 + 1.21\n"
+ "Maleh: MV 5.56 ± 0.55; FV 5.41 + 0.57\n",
+ "Bohinen: MV 5.91 ± 0.58; FV 5.86 + 0.56\n",
+ "Ranocchia F.: MV 5.67 ± 0.66; FV 5.72 + 0.80\n",
+ "Folorunsho: MV 5.85 ± 0.93; FV 6.10 + 1.37\n",
+ "Infantino: MV 5.90 ± 0.53; FV 5.87 + 0.48\n",
+ "Martegani: MV 5.93 ± 0.95; FV 6.00 + 1.20\n",
+ "Kutlu: MV 5.86 ± 0.74; FV 5.83 + 0.82\n",
+ "Tchatchoua: MV 5.76 ± 0.97; FV 5.85 + 1.27\n",
+ "Quina: MV 5.99 ± 0.94; FV 6.06 + 1.20\n",
+ "Adopo: MV 5.97 ± 0.78; FV 6.00 + 0.81\n",
+ "Romero L.: MV 6.25 ± 0.88; FV 6.65 + 1.63\n",
+ "Basic: MV 6.04 ± 0.74; FV 6.14 + 1.01\n",
+ "Asllani: MV 6.10 ± 0.56; FV 6.15 + 0.54\n",
+ "Tchaouna: MV 5.86 ± 0.82; FV 5.87 + 1.00\n",
+ "Sulemana I.: MV 5.65 ± 0.72; FV 5.59 + 0.74\n",
+ "Barrenechea: MV 6.04 ± 0.76; FV 6.10 + 0.88\n",
+ "Gelli: MV 6.05 ± 0.86; FV 6.18 + 1.07\n",
+ "Suslov: MV 5.78 ± 0.89; FV 5.85 + 1.15\n",
+ "Gaetano: MV 6.04 ± 0.99; FV 6.54 + 1.83\n",
+ "Jagiello: MV 5.87 ± 0.84; FV 5.86 + 0.96\n",
+ "Obiang: MV 5.86 ± 0.55; FV 5.83 + 0.55\n",
+ "Maggiore: MV 5.89 ± 0.53; FV 5.85 + 0.53\n",
+ "Akpa Akpro: MV 5.95 ± 0.88; FV 6.06 + 1.20\n",
+ "Urbanski: MV 5.91 ± 0.78; FV 6.00 + 1.01\n",
+ "Volpato: MV 5.82 ± 0.72; FV 5.90 + 0.90\n",
+ "Vignato S.: MV 5.87 ± 0.79; FV 5.90 + 0.94\n",
+ "Hrustic: MV 5.54 ± 0.69; FV 5.57 + 0.74\n",
+ "Zarraga: MV 5.47 ± 0.98; FV 5.45 + 0.91\n",
+ "Camara E.: MV 5.79 ± 1.08; FV 5.80 + 1.39\n",
+ "Amatucci: MV 5.93 ± 0.66; FV 5.92 + 0.64\n",
+ "Pagano: MV 5.95 ± 0.62; FV 5.95 + 0.60\n",
+ "Prati: MV 5.70 ± 0.90; FV 5.69 + 1.03\n",
+ "Viola: MV 5.62 ± 0.79; FV 5.53 + 0.76\n",
+ "Lulic K.: MV 6.04 ± 0.87; FV 6.19 + 1.12\n",
+ "Rog: MV 5.71 ± 0.79; FV 5.69 + 0.85\n",
+ "Nicolussi Caviglia: MV 5.90 ± 0.88; FV 6.26 + 1.47\n",
+ "Demme: MV 5.98 ± 0.48; FV 5.93 + 0.39\n",
+ "Pafundi: MV 6.00 ± 0.80; FV 6.02 + 0.86\n",
+ "Adli: MV 5.98 ± 0.69; FV 6.02 + 0.72\n",
+ "Bondo: MV 5.95 ± 0.84; FV 6.06 + 1.11\n",
+ "Zerbin: MV 6.04 ± 0.61; FV 6.09 + 0.64\n",
+ "Carboni V.: MV 6.00 ± 0.78; FV 6.09 + 1.00\n",
+ "Faticanti: MV 6.03 ± 0.86; FV 6.14 + 1.14\n",
+ "Gineitis: MV 5.91 ± 0.92; FV 5.91 + 1.14\n",
+ "Belardinelli: MV 5.53 ± 0.86; FV 5.50 + 0.92\n",
+ "El Azzouzi: MV 5.93 ± 0.69; FV 6.02 + 0.87\n",
+ "Lipani: MV 5.76 ± 0.82; FV 5.81 + 1.02\n",
+ "Joselito: MV 5.76 ± 0.97; FV 5.85 + 1.27\n",
+ "Legowski: MV 5.96 ± 1.03; FV 6.12 + 1.39\n",
+ "Ibrahimovic A.: MV 6.04 ± 0.87; FV 6.19 + 1.12\n",
+ "Osimhen: MV 6.47 ± 1.55; FV 7.89 + 4.08\n",
+ "Martinez L.: MV 6.56 ± 1.27; FV 7.97 + 3.97\n",
+ "Rafael Leao: MV 6.50 ± 1.19; FV 7.58 + 3.28\n",
+ "Lukaku: MV 6.26 ± 1.46; FV 7.29 + 3.16\n",
+ "Berardi: MV 6.32 ± 1.38; FV 7.38 + 3.38\n",
+ "Immobile: MV 6.17 ± 1.35; FV 7.10 + 3.02\n",
+ "Vlahovic: MV 6.41 ± 1.47; FV 7.70 + 3.82\n",
+ "Dybala: MV 6.41 ± 1.49; FV 7.69 + 3.78\n",
+ "Kvaratskhelia: MV 6.42 ± 1.25; FV 7.47 + 3.19\n",
+ "Giroud: MV 6.46 ± 1.20; FV 7.54 + 3.25\n",
+ "Scamacca: MV 6.36 ± 1.30; FV 7.60 + 3.52\n",
+ "Thuram: MV 6.59 ± 1.03; FV 7.50 + 3.06\n",
+ "Lookman: MV 6.42 ± 1.29; FV 7.62 + 3.49\n",
+ "Dia: MV 6.30 ± 1.40; FV 7.39 + 3.41\n",
+ "Arnautovic: MV 6.52 ± 1.09; FV 7.49 + 3.08\n",
+ "Retegui: MV 5.91 ± 1.23; FV 6.42 + 1.94\n",
+ "Sanabria: MV 6.17 ± 1.33; FV 7.01 + 2.74\n",
+ "Nzola: MV 5.95 ± 1.18; FV 6.51 + 2.00\n",
+ "Lauriente': MV 6.08 ± 1.18; FV 6.56 + 2.17\n",
+ "Zapata D.: MV 5.97 ± 0.99; FV 6.36 + 1.60\n",
+ "Chiesa: MV 6.46 ± 1.19; FV 7.51 + 3.21\n",
+ "Milik: MV 6.31 ± 1.09; FV 7.06 + 2.53\n",
+ "Gonzalez N.: MV 6.23 ± 1.09; FV 7.02 + 2.56\n",
+ "Okafor: MV 6.01 ± 0.51; FV 6.00 + 0.49\n",
+ "Pinamonti: MV 5.83 ± 1.08; FV 6.21 + 1.68\n",
+ "Beltran L.: MV 6.04 ± 0.96; FV 6.51 + 1.76\n",
+ "Caprari: MV 6.04 ± 1.00; FV 6.50 + 1.79\n",
+ "Sanchez: MV 6.45 ± 0.96; FV 7.08 + 2.32\n",
+ "Caputo: MV 5.53 ± 0.73; FV 5.57 + 0.78\n",
+ "Toure' E.: MV 6.05 ± 0.74; FV 6.17 + 0.94\n",
+ "Krstovic: MV 6.38 ± 0.87; FV 6.82 + 1.82\n",
+ "Belotti: MV 6.10 ± 0.99; FV 6.62 + 1.91\n",
+ "Muriel: MV 6.18 ± 0.82; FV 6.47 + 1.38\n",
+ "Lapadula: MV 5.86 ± 0.93; FV 6.18 + 1.49\n",
+ "Jovic: MV 6.09 ± 1.18; FV 6.80 + 2.40\n",
+ "Abraham: MV 6.11 ± 1.24; FV 6.87 + 2.48\n",
+ "Zirkzee: MV 6.21 ± 1.02; FV 6.73 + 2.01\n",
+ "Ngonge: MV 5.98 ± 1.16; FV 6.53 + 2.01\n",
+ "Petagna: MV 5.88 ± 0.98; FV 6.21 + 1.53\n",
+ "Simeone: MV 5.84 ± 0.92; FV 6.24 + 1.42\n",
+ "Deulofeu: MV 6.35 ± 1.27; FV 7.35 + 3.17\n",
+ "Pedro: MV 6.05 ± 0.93; FV 6.42 + 1.61\n",
+ "Shomurodov: MV 5.70 ± 0.75; FV 5.88 + 1.01\n",
+ "Azmoun: MV 5.89 ± 0.82; FV 6.19 + 1.27\n",
+ "Castellanos: MV 5.96 ± 0.56; FV 5.95 + 0.57\n",
+ "Cheddira: MV 6.28 ± 1.16; FV 7.20 + 2.82\n",
+ "Karlsson: MV 6.12 ± 0.90; FV 6.47 + 1.58\n",
+ "Brekalo: MV 6.05 ± 1.02; FV 6.57 + 1.89\n",
+ "Cambiaghi: MV 5.69 ± 0.88; FV 5.81 + 1.11\n",
+ "Henry: MV 5.81 ± 0.97; FV 6.12 + 1.42\n",
+ "Mulattieri: MV 5.79 ± 0.61; FV 5.94 + 0.90\n",
+ "Almqvist: MV 6.21 ± 1.07; FV 6.75 + 2.05\n",
+ "Isaksen: MV 5.93 ± 0.76; FV 5.96 + 0.90\n",
+ "Kean: MV 6.03 ± 1.25; FV 6.69 + 2.43\n",
+ "Karamoh: MV 5.98 ± 0.84; FV 6.26 + 1.35\n",
+ "Thauvin: MV 5.60 ± 0.81; FV 5.73 + 0.89\n",
+ "Kouame': MV 6.04 ± 1.10; FV 6.67 + 2.17\n",
+ "Raspadori: MV 5.94 ± 0.98; FV 6.34 + 1.57\n",
+ "Colombo: MV 5.96 ± 1.16; FV 6.50 + 2.05\n",
+ "Luvumbo: MV 5.89 ± 0.74; FV 6.00 + 1.00\n",
+ "Mota: MV 5.89 ± 1.13; FV 6.33 + 1.83\n",
+ "Brenner: MV 5.77 ± 1.10; FV 5.79 + 1.40\n",
+ "Bonazzoli: MV 5.90 ± 0.98; FV 6.27 + 1.53\n",
+ "Djuric: MV 5.85 ± 0.74; FV 6.03 + 1.04\n",
+ "Davis K.: MV 5.77 ± 1.10; FV 5.79 + 1.40\n",
+ "Banda: MV 6.19 ± 0.86; FV 6.48 + 1.47\n",
+ "Defrel: MV 5.68 ± 0.68; FV 5.73 + 0.86\n",
+ "Sansone: MV 6.34 ± 1.14; FV 7.16 + 2.70\n",
+ "Pellegri: MV 5.71 ± 0.85; FV 5.89 + 1.07\n",
+ "Piccoli: MV 5.99 ± 0.81; FV 6.29 + 1.37\n",
+ "Success: MV 5.80 ± 0.92; FV 6.09 + 1.26\n",
+ "Botheim: MV 5.78 ± 0.75; FV 5.89 + 1.01\n",
+ "Lucca: MV 5.79 ± 0.95; FV 5.97 + 1.23\n",
+ "Caso: MV 6.26 ± 1.01; FV 6.82 + 2.03\n",
+ "Jovane: MV 5.96 ± 1.03; FV 6.15 + 1.41\n",
+ "Soule': MV 6.35 ± 0.87; FV 6.71 + 1.61\n",
+ "Pavoletti: MV 5.71 ± 0.72; FV 5.79 + 0.92\n",
+ "Cancellieri: MV 5.53 ± 0.62; FV 5.44 + 0.60\n",
+ "Seck: MV 6.14 ± 0.72; FV 6.29 + 1.00\n",
+ "Alvarez A.: MV 5.81 ± 0.68; FV 5.90 + 0.87\n",
+ "Cuni: MV 6.04 ± 0.63; FV 6.08 + 0.69\n",
+ "Ekuban: MV 5.79 ± 0.65; FV 5.90 + 0.78\n",
+ "Maric: MV 5.96 ± 0.72; FV 6.01 + 0.89\n",
+ "Cruz: MV 5.75 ± 0.96; FV 5.86 + 1.25\n",
+ "Destro: MV 5.50 ± 0.81; FV 5.47 + 0.82\n",
+ "Van Hooijdonk: MV 5.91 ± 0.92; FV 6.07 + 1.25\n",
+ "Ceide: MV 5.70 ± 0.72; FV 5.72 + 0.73\n",
+ "Kvernadze: MV 6.01 ± 0.81; FV 6.11 + 0.98\n",
+ "Ikwuemesi: MV 5.87 ± 0.85; FV 5.92 + 1.03\n",
+ "Puscas: MV 5.85 ± 0.85; FV 5.89 + 1.01\n",
+ "Ake' M.: MV 5.77 ± 1.02; FV 5.75 + 1.22\n",
+ "Braaf: MV 5.61 ± 0.69; FV 5.75 + 0.86\n",
+ "Kallon: MV 5.85 ± 0.86; FV 6.11 + 1.32\n",
+ "Kaio Jorge: MV 6.01 ± 0.61; FV 6.08 + 0.63\n",
+ "Vivaldo: MV 5.77 ± 1.10; FV 5.79 + 1.40\n",
+ "Bidaoui: MV 6.05 ± 0.89; FV 6.26 + 1.21\n",
+ "Shpendi S.: MV 5.53 ± 0.73; FV 5.47 + 0.75\n",
+ "Burnete: MV 6.05 ± 0.80; FV 6.14 + 1.05\n",
+ "Corfitzen: MV 6.04 ± 0.89; FV 6.21 + 1.25\n",
+ "Stewart: MV 5.96 ± 1.03; FV 6.15 + 1.41\n",
+ "Yildiz: MV 6.10 ± 0.87; FV 6.37 + 1.41\n"
]
},
{
@@ -6575,113 +6737,113 @@
" \n",
" \n",
" \n",
- " Rossi F. \n",
- " P \n",
- " Atalanta \n",
- " Fiorentina \n",
- " 0 \n",
- " 0.0 \n",
- " 1 \n",
- " 6.109952 \n",
- " 0.455623 \n",
- " 5.139983 \n",
- " 0.751770 \n",
- " 6.129853 \n",
- " 0.545903 \n",
- " -0.026930 \n",
- " 1.024186 \n",
- " 5.328891 \n",
- " 1.142012 \n",
- " -0.122005 \n",
- " 1.029078 \n",
- " 3.029286 \n",
- " \n",
- " \n",
" Musso \n",
" P \n",
" Atalanta \n",
- " Fiorentina \n",
- " 0 \n",
+ " Cagliari \n",
+ " 1 \n",
" 1.0 \n",
- " 80 \n",
- " 6.026820 \n",
- " 0.479838 \n",
- " 4.632784 \n",
- " 0.883422 \n",
- " 6.040918 \n",
- " 0.574122 \n",
- " -0.018150 \n",
- " 1.038445 \n",
- " 5.058631 \n",
- " 1.267127 \n",
- " -0.248430 \n",
- " 0.992984 \n",
- " 1.178538 \n",
+ " 70 \n",
+ " 6.187904 \n",
+ " 0.409565 \n",
+ " 5.778299 \n",
+ " 0.631974 \n",
+ " 6.172151 \n",
+ " 0.484012 \n",
+ " 0.024084 \n",
+ " 1.080489 \n",
+ " 6.551383 \n",
+ " 0.575009 \n",
+ " -0.854511 \n",
+ " 1.143475 \n",
+ " 76.430595 \n",
" \n",
" \n",
" Carnesecchi \n",
" P \n",
" Atalanta \n",
- " Fiorentina \n",
- " 0 \n",
+ " Cagliari \n",
+ " 1 \n",
" 0.0 \n",
" 5 \n",
- " 5.988562 \n",
- " 0.492755 \n",
- " 4.077794 \n",
- " 1.066340 \n",
- " 6.002525 \n",
- " 0.589996 \n",
- " -0.017496 \n",
- " 1.046207 \n",
- " 4.783760 \n",
- " 1.400133 \n",
- " -0.389061 \n",
- " 0.954299 \n",
- " 0.944095 \n",
+ " 6.153384 \n",
+ " 0.442585 \n",
+ " 5.099182 \n",
+ " 0.736154 \n",
+ " 6.095662 \n",
+ " 0.508426 \n",
+ " 0.083887 \n",
+ " 1.071720 \n",
+ " 5.316064 \n",
+ " 1.103085 \n",
+ " -0.144701 \n",
+ " 0.998809 \n",
+ " 24.471429 \n",
+ " \n",
+ " \n",
+ " Rossi F. \n",
+ " P \n",
+ " Atalanta \n",
+ " Cagliari \n",
+ " 1 \n",
+ " 0.0 \n",
+ " 1 \n",
+ " 6.202195 \n",
+ " 0.436560 \n",
+ " 5.098540 \n",
+ " 0.738788 \n",
+ " 6.170873 \n",
+ " 0.510068 \n",
+ " 0.045397 \n",
+ " 1.057536 \n",
+ " 5.311903 \n",
+ " 1.107865 \n",
+ " -0.141756 \n",
+ " 0.997465 \n",
+ " 19.948235 \n",
" \n",
" \n",
" Zappacosta \n",
" D \n",
" Atalanta \n",
- " Fiorentina \n",
- " 0 \n",
- " 1.0 \n",
- " 90 \n",
- " 6.083625 \n",
- " 0.627924 \n",
- " 6.479160 \n",
- " 1.053932 \n",
- " 5.897724 \n",
- " 0.687691 \n",
- " 0.197360 \n",
- " 0.773252 \n",
- " 5.540676 \n",
- " 1.267551 \n",
- " 0.512369 \n",
- " 1.299510 \n",
+ " Cagliari \n",
+ " 1 \n",
+ " 0.6 \n",
+ " 60 \n",
+ " 6.174058 \n",
+ " 0.452587 \n",
+ " 6.519552 \n",
+ " 0.775398 \n",
+ " 6.110474 \n",
+ " 0.514245 \n",
+ " 0.090884 \n",
+ " 0.896925 \n",
+ " 5.874933 \n",
+ " 0.976198 \n",
+ " 0.463032 \n",
+ " 1.299677 \n",
" 0.000000 \n",
" \n",
" \n",
" Zortea \n",
" D \n",
" Atalanta \n",
- " Fiorentina \n",
- " 0 \n",
- " 0.0 \n",
- " 0 \n",
- " 6.150186 \n",
- " 0.516681 \n",
- " 6.476537 \n",
- " 0.757362 \n",
- " 6.067196 \n",
- " 0.583386 \n",
- " 0.104385 \n",
- " 0.850812 \n",
- " 5.875261 \n",
- " 0.978617 \n",
- " 0.433943 \n",
- " 1.299440 \n",
+ " Cagliari \n",
+ " 1 \n",
+ " 0.4 \n",
+ " 40 \n",
+ " 6.106819 \n",
+ " 0.397738 \n",
+ " 6.403875 \n",
+ " 0.627450 \n",
+ " 6.025298 \n",
+ " 0.444725 \n",
+ " 0.134716 \n",
+ " 0.941082 \n",
+ " 5.877332 \n",
+ " 0.785433 \n",
+ " 0.469323 \n",
+ " 1.299658 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -6707,187 +6869,187 @@
" ... \n",
" \n",
" \n",
- " Bonazzoli \n",
- " A \n",
- " Verona \n",
- " Bologna \n",
- " 1 \n",
- " 0.4 \n",
- " 60 \n",
- " 6.194463 \n",
- " 0.573160 \n",
- " 6.719338 \n",
- " 1.030227 \n",
- " 5.917695 \n",
- " 0.593300 \n",
- " 0.338062 \n",
- " 0.807901 \n",
- " 5.607124 \n",
- " 1.010478 \n",
- " 0.712825 \n",
- " 1.299556 \n",
- " 0.000000 \n",
- " \n",
- " \n",
" Henry \n",
" A \n",
" Verona \n",
- " Bologna \n",
- " 1 \n",
+ " Milan \n",
+ " 0 \n",
" 0.0 \n",
" 0 \n",
- " 5.948657 \n",
- " 0.576159 \n",
- " 6.411596 \n",
- " 0.883478 \n",
- " 5.582782 \n",
- " 0.562697 \n",
- " 0.465999 \n",
- " 0.808078 \n",
- " 5.444796 \n",
- " 0.848190 \n",
- " 0.732595 \n",
- " 1.299526 \n",
+ " 5.806732 \n",
+ " 0.484893 \n",
+ " 6.124626 \n",
+ " 0.710677 \n",
+ " 5.555864 \n",
+ " 0.490855 \n",
+ " 0.369405 \n",
+ " 0.852631 \n",
+ " 5.422048 \n",
+ " 0.779401 \n",
+ " 0.606238 \n",
+ " 1.299682 \n",
" 0.000000 \n",
" \n",
" \n",
" Kallon \n",
" A \n",
" Verona \n",
- " Bologna \n",
- " 1 \n",
+ " Milan \n",
+ " 0 \n",
" 0.0 \n",
" 0 \n",
- " 5.984714 \n",
- " 0.458801 \n",
- " 6.300039 \n",
- " 0.708241 \n",
- " 5.767212 \n",
- " 0.467892 \n",
- " 0.336912 \n",
- " 0.899963 \n",
- " 5.570446 \n",
- " 0.741041 \n",
- " 0.651962 \n",
- " 1.299474 \n",
+ " 5.847151 \n",
+ " 0.430028 \n",
+ " 6.110572 \n",
+ " 0.658053 \n",
+ " 5.650604 \n",
+ " 0.441275 \n",
+ " 0.323210 \n",
+ " 0.904855 \n",
+ " 5.475328 \n",
+ " 0.739265 \n",
+ " 0.582358 \n",
+ " 1.299658 \n",
" 0.000000 \n",
" \n",
" \n",
" Djuric \n",
" A \n",
" Verona \n",
- " Bologna \n",
- " 1 \n",
- " 0.0 \n",
+ " Milan \n",
+ " 0 \n",
+ " 0.4 \n",
" 60 \n",
- " 6.158875 \n",
- " 0.357994 \n",
- " 6.288688 \n",
- " 0.468988 \n",
- " 6.140615 \n",
- " 0.418206 \n",
- " 0.032221 \n",
- " 0.990635 \n",
- " 5.922352 \n",
- " 0.611119 \n",
- " 0.424342 \n",
- " 1.299342 \n",
+ " 5.847715 \n",
+ " 0.371962 \n",
+ " 6.031966 \n",
+ " 0.518109 \n",
+ " 5.712709 \n",
+ " 0.393430 \n",
+ " 0.250597 \n",
+ " 0.961439 \n",
+ " 5.599852 \n",
+ " 0.651016 \n",
+ " 0.465176 \n",
+ " 1.299629 \n",
+ " 0.000000 \n",
+ " \n",
+ " \n",
+ " Cruz \n",
+ " A \n",
+ " Verona \n",
+ " Milan \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 15 \n",
+ " 5.751310 \n",
+ " 0.481451 \n",
+ " 5.863318 \n",
+ " 0.627091 \n",
+ " 5.655169 \n",
+ " 0.538907 \n",
+ " 0.130959 \n",
+ " 0.892866 \n",
+ " 5.455123 \n",
+ " 0.880195 \n",
+ " 0.334536 \n",
+ " 1.299594 \n",
" 0.000000 \n",
" \n",
" \n",
" Braaf \n",
" A \n",
" Verona \n",
- " Bologna \n",
- " 1 \n",
+ " Milan \n",
+ " 0 \n",
" 0.0 \n",
" 0 \n",
- " 5.610724 \n",
- " 0.386826 \n",
- " 5.801877 \n",
- " 0.469637 \n",
- " 5.429425 \n",
- " 0.389900 \n",
- " 0.336936 \n",
- " 0.966595 \n",
- " 5.391262 \n",
- " 0.572295 \n",
- " 0.498442 \n",
- " 1.299333 \n",
+ " 5.613092 \n",
+ " 0.346900 \n",
+ " 5.750920 \n",
+ " 0.428900 \n",
+ " 5.477731 \n",
+ " 0.361478 \n",
+ " 0.273028 \n",
+ " 0.988318 \n",
+ " 5.428794 \n",
+ " 0.569555 \n",
+ " 0.402369 \n",
+ " 1.299586 \n",
" 0.000000 \n",
" \n",
" \n",
"\n",
- "535 rows × 19 columns
\n",
+ "539 rows × 19 columns
\n",
""
],
"text/plain": [
- " role team oppteam home starter vote% MV \\\n",
- "player \n",
- "Rossi F. P Atalanta Fiorentina 0 0.0 1 6.109952 \n",
- "Musso P Atalanta Fiorentina 0 1.0 80 6.026820 \n",
- "Carnesecchi P Atalanta Fiorentina 0 0.0 5 5.988562 \n",
- "Zappacosta D Atalanta Fiorentina 0 1.0 90 6.083625 \n",
- "Zortea D Atalanta Fiorentina 0 0.0 0 6.150186 \n",
- "... ... ... ... ... ... ... ... \n",
- "Bonazzoli A Verona Bologna 1 0.4 60 6.194463 \n",
- "Henry A Verona Bologna 1 0.0 0 5.948657 \n",
- "Kallon A Verona Bologna 1 0.0 0 5.984714 \n",
- "Djuric A Verona Bologna 1 0.0 60 6.158875 \n",
- "Braaf A Verona Bologna 1 0.0 0 5.610724 \n",
+ " role team oppteam home starter vote% MV MV std \\\n",
+ "player \n",
+ "Musso P Atalanta Cagliari 1 1.0 70 6.187904 0.409565 \n",
+ "Carnesecchi P Atalanta Cagliari 1 0.0 5 6.153384 0.442585 \n",
+ "Rossi F. P Atalanta Cagliari 1 0.0 1 6.202195 0.436560 \n",
+ "Zappacosta D Atalanta Cagliari 1 0.6 60 6.174058 0.452587 \n",
+ "Zortea D Atalanta Cagliari 1 0.4 40 6.106819 0.397738 \n",
+ "... ... ... ... ... ... ... ... ... \n",
+ "Henry A Verona Milan 0 0.0 0 5.806732 0.484893 \n",
+ "Kallon A Verona Milan 0 0.0 0 5.847151 0.430028 \n",
+ "Djuric A Verona Milan 0 0.4 60 5.847715 0.371962 \n",
+ "Cruz A Verona Milan 0 0.0 15 5.751310 0.481451 \n",
+ "Braaf A Verona Milan 0 0.0 0 5.613092 0.346900 \n",
"\n",
- " MV std FV FV std MV loc MV scale MV skewness \\\n",
- "player \n",
- "Rossi F. 0.455623 5.139983 0.751770 6.129853 0.545903 -0.026930 \n",
- "Musso 0.479838 4.632784 0.883422 6.040918 0.574122 -0.018150 \n",
- "Carnesecchi 0.492755 4.077794 1.066340 6.002525 0.589996 -0.017496 \n",
- "Zappacosta 0.627924 6.479160 1.053932 5.897724 0.687691 0.197360 \n",
- "Zortea 0.516681 6.476537 0.757362 6.067196 0.583386 0.104385 \n",
- "... ... ... ... ... ... ... \n",
- "Bonazzoli 0.573160 6.719338 1.030227 5.917695 0.593300 0.338062 \n",
- "Henry 0.576159 6.411596 0.883478 5.582782 0.562697 0.465999 \n",
- "Kallon 0.458801 6.300039 0.708241 5.767212 0.467892 0.336912 \n",
- "Djuric 0.357994 6.288688 0.468988 6.140615 0.418206 0.032221 \n",
- "Braaf 0.386826 5.801877 0.469637 5.429425 0.389900 0.336936 \n",
+ " FV FV std MV loc MV scale MV skewness \\\n",
+ "player \n",
+ "Musso 5.778299 0.631974 6.172151 0.484012 0.024084 \n",
+ "Carnesecchi 5.099182 0.736154 6.095662 0.508426 0.083887 \n",
+ "Rossi F. 5.098540 0.738788 6.170873 0.510068 0.045397 \n",
+ "Zappacosta 6.519552 0.775398 6.110474 0.514245 0.090884 \n",
+ "Zortea 6.403875 0.627450 6.025298 0.444725 0.134716 \n",
+ "... ... ... ... ... ... \n",
+ "Henry 6.124626 0.710677 5.555864 0.490855 0.369405 \n",
+ "Kallon 6.110572 0.658053 5.650604 0.441275 0.323210 \n",
+ "Djuric 6.031966 0.518109 5.712709 0.393430 0.250597 \n",
+ "Cruz 5.863318 0.627091 5.655169 0.538907 0.130959 \n",
+ "Braaf 5.750920 0.428900 5.477731 0.361478 0.273028 \n",
"\n",
" MV tailweight FV loc FV scale FV skewness FV tailweight \\\n",
"player \n",
- "Rossi F. 1.024186 5.328891 1.142012 -0.122005 1.029078 \n",
- "Musso 1.038445 5.058631 1.267127 -0.248430 0.992984 \n",
- "Carnesecchi 1.046207 4.783760 1.400133 -0.389061 0.954299 \n",
- "Zappacosta 0.773252 5.540676 1.267551 0.512369 1.299510 \n",
- "Zortea 0.850812 5.875261 0.978617 0.433943 1.299440 \n",
+ "Musso 1.080489 6.551383 0.575009 -0.854511 1.143475 \n",
+ "Carnesecchi 1.071720 5.316064 1.103085 -0.144701 0.998809 \n",
+ "Rossi F. 1.057536 5.311903 1.107865 -0.141756 0.997465 \n",
+ "Zappacosta 0.896925 5.874933 0.976198 0.463032 1.299677 \n",
+ "Zortea 0.941082 5.877332 0.785433 0.469323 1.299658 \n",
"... ... ... ... ... ... \n",
- "Bonazzoli 0.807901 5.607124 1.010478 0.712825 1.299556 \n",
- "Henry 0.808078 5.444796 0.848190 0.732595 1.299526 \n",
- "Kallon 0.899963 5.570446 0.741041 0.651962 1.299474 \n",
- "Djuric 0.990635 5.922352 0.611119 0.424342 1.299342 \n",
- "Braaf 0.966595 5.391262 0.572295 0.498442 1.299333 \n",
+ "Henry 0.852631 5.422048 0.779401 0.606238 1.299682 \n",
+ "Kallon 0.904855 5.475328 0.739265 0.582358 1.299658 \n",
+ "Djuric 0.961439 5.599852 0.651016 0.465176 1.299629 \n",
+ "Cruz 0.892866 5.455123 0.880195 0.334536 1.299594 \n",
+ "Braaf 0.988318 5.428794 0.569555 0.402369 1.299586 \n",
"\n",
" Clean Sheet % \n",
"player \n",
- "Rossi F. 3.029286 \n",
- "Musso 1.178538 \n",
- "Carnesecchi 0.944095 \n",
+ "Musso 76.430595 \n",
+ "Carnesecchi 24.471429 \n",
+ "Rossi F. 19.948235 \n",
"Zappacosta 0.000000 \n",
"Zortea 0.000000 \n",
"... ... \n",
- "Bonazzoli 0.000000 \n",
"Henry 0.000000 \n",
"Kallon 0.000000 \n",
"Djuric 0.000000 \n",
+ "Cruz 0.000000 \n",
"Braaf 0.000000 \n",
"\n",
- "[535 rows x 19 columns]"
+ "[539 rows x 19 columns]"
]
},
- "execution_count": 80,
+ "execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "matchday_out = 4\n",
+ "matchday_out = 5\n",
"\n",
"output = pd.DataFrame(columns = ['player', 'role', 'team', 'oppteam', 'home', 'starter', 'vote%', 'MV', 'MV std', 'FV', 'FV std', 'MV loc', 'MV scale', 'MV skewness', 'MV tailweight', 'FV loc', 'FV scale', 'FV skewness', 'FV tailweight', 'Clean Sheet %'])\n",
"\n",
@@ -6937,7 +7099,7 @@
},
{
"cell_type": "code",
- "execution_count": 81,
+ "execution_count": 43,
"id": "6befd611",
"metadata": {},
"outputs": [],
@@ -6963,7 +7125,7 @@
},
{
"cell_type": "code",
- "execution_count": 77,
+ "execution_count": 44,
"id": "2b637a15",
"metadata": {},
"outputs": [],
@@ -6975,7 +7137,7 @@
},
{
"cell_type": "code",
- "execution_count": 78,
+ "execution_count": 45,
"id": "60d73507",
"metadata": {},
"outputs": [
@@ -6983,553 +7145,557 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Maignan (6.18, 0.45); (5.14, 0.76)\n",
- "Meret (6.15, 0.45); (5.49, 0.66)\n",
- "Sommer (6.10, 0.48); (5.73, 0.66)\n",
- "Szczesny (6.15, 0.46); (5.20, 0.73)\n",
- "Provedel (6.17, 0.45); (5.10, 0.77)\n",
- "Rui Patricio (5.71, 0.54); (3.59, 1.34)\n",
- "Di Gregorio (6.20, 0.45); (5.16, 0.75)\n",
- "Skorupski (5.99, 0.49); (3.75, 1.24)\n",
- "Milinkovic-Savic V. (6.12, 0.45); (5.23, 0.74)\n",
- "Terracciano (6.19, 0.45); (5.10, 0.77)\n",
- "Carnesecchi (6.17, 0.45); (5.27, 0.69)\n",
- "Falcone (6.18, 0.46); (5.20, 0.73)\n",
- "Silvestri (5.94, 0.48); (4.35, 1.03)\n",
- "Ochoa (6.21, 0.44); (3.99, 1.11)\n",
- "Radunovic (5.79, 0.50); (3.99, 1.14)\n",
- "Montipo' (6.15, 0.46); (5.08, 0.77)\n",
- "Martinez Jo. (6.13, 0.46); (5.18, 0.75)\n",
- "Caprile (5.68, 0.52); (3.44, 1.34)\n",
- "Consigli (5.94, 0.49); (3.97, 1.16)\n",
- "Musso (6.14, 0.46); (5.66, 0.66)\n",
- "Turati (5.83, 0.49); (4.18, 1.09)\n",
- "Perin (6.17, 0.45); (5.56, 0.66)\n",
- "Berisha (6.14, 0.46); (3.77, 1.22)\n",
- "Cragno (5.82, 0.52); (3.60, 1.32)\n",
- "Cerofolini (6.14, 0.46); (4.57, 0.93)\n",
- "Christensen O. (6.16, 0.45); (4.00, 1.12)\n",
- "Sportiello (6.18, 0.46); (5.18, 0.75)\n",
- "Mirante (6.18, 0.46); (5.18, 0.75)\n",
- "Sepe (6.14, 0.46); (4.48, 0.94)\n",
- "Leali (6.13, 0.46); (5.18, 0.75)\n",
- "Lamanna (6.11, 0.47); (4.59, 0.92)\n",
- "Sommariva (6.13, 0.46); (5.18, 0.75)\n",
- "Pegolo (5.82, 0.52); (3.60, 1.32)\n",
- "Perilli (6.14, 0.47); (5.31, 0.70)\n",
- "Padelli (5.57, 0.55); (3.46, 1.40)\n",
- "Scuffet (5.79, 0.50); (3.99, 1.14)\n",
- "Gollini (5.87, 0.50); (4.31, 1.07)\n",
- "Perisan (5.42, 0.55); (2.92, 1.45)\n",
- "Audero (6.10, 0.48); (5.72, 0.66)\n",
- "Di Gennaro (6.10, 0.48); (5.73, 0.66)\n",
- "Pinsoglio (6.10, 0.49); (5.19, 0.74)\n",
- "Aresti (5.79, 0.50); (3.99, 1.14)\n",
- "Fiorillo (6.21, 0.44); (4.04, 1.09)\n",
- "Rossi F. (6.14, 0.46); (5.71, 0.66)\n",
- "Costil (6.21, 0.44); (4.04, 1.09)\n",
- "Ravaglia F. (5.89, 0.53); (3.52, 1.39)\n",
- "Frattali (5.83, 0.49); (4.18, 1.09)\n",
- "Contini (5.87, 0.50); (4.31, 1.07)\n",
- "Brancolini (6.12, 0.47); (5.20, 0.73)\n",
- "Berardi A. (6.14, 0.47); (5.31, 0.70)\n",
- "Gemello (6.21, 0.43); (5.51, 0.67)\n",
- "Boer (5.59, 0.56); (3.40, 1.42)\n",
- "Bagnolini (5.89, 0.53); (3.52, 1.39)\n",
- "Svilar (5.59, 0.56); (3.40, 1.42)\n",
- "Sorrentino A. (6.11, 0.47); (4.59, 0.92)\n",
- "Martinelli T. (6.15, 0.45); (4.67, 0.89)\n",
- "Popa (6.21, 0.43); (5.51, 0.67)\n",
- "Stubljar (5.68, 0.52); (3.44, 1.34)\n",
- "Gori (6.11, 0.47); (4.59, 0.92)\n",
- "Borbei (6.12, 0.47); (5.20, 0.73)\n",
- "Okoye (5.57, 0.55); (3.46, 1.40)\n",
- "Mandas (6.14, 0.46); (4.48, 0.94)\n",
- "Dimarco (6.38, 0.43); (6.74, 0.79)\n",
- "Di Lorenzo (6.31, 0.55); (6.92, 1.07)\n",
- "Hernandez T. (6.24, 0.52); (6.66, 0.92)\n",
- "Carlos Augusto (6.27, 0.46); (6.68, 0.84)\n",
- "Danilo (6.34, 0.48); (6.69, 0.82)\n",
- "Zappacosta (6.16, 0.54); (6.54, 0.88)\n",
- "Schuurs (6.08, 0.43); (6.18, 0.58)\n",
- "Posch (6.02, 0.55); (6.39, 0.90)\n",
- "Bastoni (6.30, 0.41); (6.44, 0.55)\n",
- "Pavard (6.16, 0.37); (6.29, 0.51)\n",
- "Smalling (6.10, 0.49); (6.41, 0.76)\n",
- "Rrahmani (6.10, 0.53); (6.28, 0.69)\n",
- "Dumfries (6.23, 0.46); (6.60, 0.81)\n",
- "Romagnoli (6.10, 0.49); (6.19, 0.61)\n",
- "Bremer (6.14, 0.55); (6.36, 0.77)\n",
- "Tomori (6.12, 0.43); (6.21, 0.55)\n",
- "Spinazzola (6.14, 0.47); (6.46, 0.78)\n",
- "Darmian (6.23, 0.38); (6.43, 0.58)\n",
- "Biraghi (6.15, 0.57); (6.64, 1.01)\n",
- "Bakker (6.03, 0.33); (6.10, 0.43)\n",
- "Mazzocchi (6.04, 0.39); (6.18, 0.53)\n",
- "Baschirotto (6.11, 0.48); (6.25, 0.65)\n",
- "Doig (6.05, 0.56); (6.45, 0.89)\n",
- "Thiaw (6.11, 0.45); (6.14, 0.49)\n",
- "Mario Rui (6.07, 0.46); (6.21, 0.60)\n",
- "Calabria (6.11, 0.45); (6.27, 0.64)\n",
- "Acerbi (6.09, 0.37); (6.13, 0.41)\n",
- "Cuadrado (6.08, 0.41); (6.20, 0.54)\n",
- "Milenkovic (5.92, 0.54); (6.01, 0.69)\n",
- "Mancini (5.92, 0.41); (5.96, 0.49)\n",
- "Buongiorno (6.02, 0.45); (6.15, 0.63)\n",
- "Ebuehi (5.87, 0.39); (6.04, 0.54)\n",
- "Casale (6.04, 0.41); (6.08, 0.50)\n",
- "Scalvini (6.07, 0.52); (6.22, 0.68)\n",
- "Holm (6.06, 0.38); (6.17, 0.48)\n",
- "Faraoni (5.88, 0.43); (6.09, 0.62)\n",
- "Kolasinac (6.07, 0.36); (6.18, 0.46)\n",
- "Perez N. (5.87, 0.45); (5.86, 0.55)\n",
- "Bijol (5.81, 0.53); (5.87, 0.67)\n",
- "De Vrij (6.23, 0.38); (6.32, 0.47)\n",
- "Toloi (6.08, 0.48); (6.24, 0.64)\n",
- "Djimsiti (5.99, 0.38); (5.98, 0.38)\n",
- "Rodriguez R. (5.99, 0.39); (5.97, 0.44)\n",
- "Martin (6.00, 0.33); (6.13, 0.45)\n",
- "N'dicka (5.99, 0.34); (5.98, 0.38)\n",
- "Kyriakopoulos (5.96, 0.36); (5.98, 0.43)\n",
- "Mari' (5.85, 0.47); (5.80, 0.53)\n",
- "Bastoni S. (6.09, 0.45); (6.35, 0.71)\n",
- "Kristensen (5.99, 0.40); (6.20, 0.61)\n",
- "Natan (5.95, 0.47); (5.96, 0.55)\n",
- "Hysaj (6.00, 0.40); (6.07, 0.51)\n",
- "Izzo (5.95, 0.46); (5.93, 0.54)\n",
- "D'ambrosio (5.98, 0.31); (5.91, 0.30)\n",
- "Luperto (5.76, 0.53); (5.73, 0.63)\n",
- "Marusic (5.96, 0.42); (5.91, 0.46)\n",
- "Mina (6.04, 0.46); (6.34, 0.74)\n",
- "Bellanova (5.89, 0.28); (5.86, 0.28)\n",
- "Caldirola (5.93, 0.49); (5.98, 0.61)\n",
- "Kalulu (5.92, 0.49); (5.89, 0.52)\n",
- "Parisi (6.08, 0.49); (6.29, 0.74)\n",
- "Cambiaso (6.12, 0.42); (6.21, 0.51)\n",
- "Bradaric (5.95, 0.42); (5.95, 0.47)\n",
- "Kamara H. (5.98, 0.38); (6.00, 0.46)\n",
- "Olivera (6.01, 0.40); (6.12, 0.51)\n",
- "Dodo' (5.88, 0.50); (5.93, 0.63)\n",
- "Lucumi' (5.82, 0.42); (5.72, 0.46)\n",
- "Hien (5.82, 0.49); (5.73, 0.54)\n",
- "Kristiansen (6.08, 0.30); (6.12, 0.38)\n",
- "Pedersen (5.95, 0.32); (5.96, 0.36)\n",
- "Romagnoli S. (5.95, 0.51); (6.01, 0.63)\n",
- "Juan Jesus (6.08, 0.32); (6.10, 0.35)\n",
- "Gyomber (5.93, 0.45); (5.86, 0.47)\n",
- "Alex Sandro (5.86, 0.48); (5.74, 0.50)\n",
- "Hateboer (5.94, 0.45); (6.04, 0.61)\n",
- "Palomino (5.96, 0.37); (5.98, 0.42)\n",
- "Marchizza (5.93, 0.41); (5.92, 0.47)\n",
- "Lazzari (6.01, 0.36); (5.97, 0.38)\n",
- "Toljan (5.73, 0.43); (5.65, 0.45)\n",
- "Zappa (5.83, 0.38); (5.76, 0.36)\n",
- "Gallo (5.94, 0.43); (5.91, 0.47)\n",
- "Erlic (5.86, 0.42); (5.77, 0.43)\n",
- "Vojvoda (5.92, 0.37); (6.02, 0.50)\n",
- "Llorente D. (5.79, 0.49); (5.80, 0.58)\n",
- "Dragusin (5.93, 0.44); (6.16, 0.64)\n",
- "Vasquez (5.95, 0.44); (5.94, 0.49)\n",
- "Viti (6.13, 0.34); (6.30, 0.49)\n",
- "Gatti (6.06, 0.40); (6.06, 0.43)\n",
- "Birindelli (5.89, 0.37); (5.85, 0.40)\n",
- "Gendrey (5.94, 0.38); (5.92, 0.41)\n",
- "Beukema (5.96, 0.41); (5.97, 0.49)\n",
- "Zemura (5.95, 0.33); (5.95, 0.38)\n",
- "Dossena (5.85, 0.34); (5.84, 0.38)\n",
- "Azzi (5.90, 0.35); (6.01, 0.44)\n",
- "Wieteska (6.00, 0.40); (6.01, 0.46)\n",
- "Masina (5.87, 0.55); (6.30, 0.85)\n",
- "Pezzella Giu. (5.81, 0.33); (5.74, 0.36)\n",
- "Sabelli (5.97, 0.34); (6.05, 0.45)\n",
- "Lykogiannis (5.86, 0.33); (5.92, 0.40)\n",
- "Djidji (5.86, 0.42); (5.89, 0.52)\n",
- "Kabasele (5.81, 0.42); (5.79, 0.50)\n",
- "Ranieri L. (5.75, 0.45); (5.67, 0.51)\n",
- "Augello (5.88, 0.42); (6.00, 0.52)\n",
- "Zortea (6.13, 0.44); (6.38, 0.65)\n",
- "Dawidowicz (5.87, 0.51); (5.83, 0.62)\n",
- "Pirola (5.99, 0.49); (6.07, 0.63)\n",
- "Lovato (5.85, 0.38); (5.77, 0.38)\n",
- "Monterisi (6.22, 0.52); (6.63, 0.92)\n",
- "Ismajli (5.88, 0.41); (5.81, 0.44)\n",
- "Martinez Quarta (5.92, 0.45); (5.86, 0.48)\n",
- "Ruggeri (6.10, 0.49); (6.27, 0.66)\n",
- "Pongracic (5.94, 0.45); (5.91, 0.51)\n",
- "Obert (5.86, 0.43); (5.84, 0.46)\n",
- "Tressoldi (5.87, 0.46); (5.88, 0.55)\n",
- "Ebosele (5.73, 0.40); (5.69, 0.41)\n",
- "Hatzidiakos (5.94, 0.44); (5.95, 0.50)\n",
- "Patric (6.02, 0.34); (5.95, 0.33)\n",
- "Pellegrini Lu. (5.91, 0.34); (5.84, 0.36)\n",
- "Lazaro (6.01, 0.35); (6.05, 0.45)\n",
- "Calafiori (5.84, 0.49); (5.84, 0.60)\n",
- "Vina (5.75, 0.37); (5.68, 0.37)\n",
- "Terracciano F. (6.11, 0.36); (6.20, 0.46)\n",
- "Ehizibue (5.76, 0.47); (5.80, 0.59)\n",
- "Vogliacco (5.92, 0.46); (5.91, 0.53)\n",
- "Goldaniga (5.70, 0.44); (5.61, 0.43)\n",
- "Ferrari G. (5.77, 0.49); (5.80, 0.60)\n",
- "Lirola (5.97, 0.47); (6.00, 0.56)\n",
- "Bereszynski (5.67, 0.43); (5.63, 0.50)\n",
- "Venuti (5.88, 0.40); (5.85, 0.45)\n",
- "Karsdorp (5.86, 0.28); (5.82, 0.27)\n",
- "Bani (5.87, 0.50); (5.91, 0.64)\n",
- "Kjaer (6.02, 0.32); (5.97, 0.31)\n",
- "Gunter (5.68, 0.51); (5.57, 0.56)\n",
- "Magnani (5.81, 0.54); (5.74, 0.62)\n",
- "Soumaoro (5.85, 0.53); (5.74, 0.58)\n",
- "Carboni A. (5.96, 0.36); (5.95, 0.41)\n",
- "Di Pardo (5.88, 0.41); (5.85, 0.43)\n",
- "Zanoli (6.12, 0.50); (6.50, 0.81)\n",
- "Zima (5.94, 0.33); (5.93, 0.36)\n",
- "Hefti (5.72, 0.46); (5.64, 0.47)\n",
- "Ostigard (5.98, 0.33); (5.98, 0.35)\n",
- "Sambia (5.99, 0.38); (5.98, 0.40)\n",
- "Bisseck (6.01, 0.39); (6.08, 0.48)\n",
- "Dorgu (6.04, 0.37); (6.07, 0.42)\n",
- "Touba (5.98, 0.46); (6.02, 0.56)\n",
- "Sazonov (5.95, 0.46); (6.03, 0.60)\n",
- "Rugani (6.04, 0.30); (6.01, 0.29)\n",
- "De Sciglio (5.90, 0.33); (5.86, 0.32)\n",
- "Florenzi (6.06, 0.34); (6.11, 0.40)\n",
- "Fazio (5.88, 0.65); (5.92, 0.77)\n",
- "Bonifazi (5.74, 0.43); (5.62, 0.43)\n",
- "Walukiewicz (5.80, 0.32); (5.73, 0.31)\n",
- "Kumbulla (5.47, 0.73); (5.28, 0.72)\n",
- "Celik (5.70, 0.40); (5.58, 0.43)\n",
- "Amione (5.87, 0.49); (5.88, 0.62)\n",
- "Daniliuc (5.84, 0.50); (5.79, 0.56)\n",
- "Haps (5.86, 0.46); (5.92, 0.58)\n",
- "De Winter (5.77, 0.51); (5.59, 0.52)\n",
- "Cittadini (5.93, 0.46); (5.95, 0.57)\n",
- "Coppola D. (5.75, 0.42); (5.65, 0.46)\n",
- "Cacace (5.61, 0.39); (5.52, 0.37)\n",
- "Ebosse (5.75, 0.38); (5.67, 0.41)\n",
- "Cabal (5.94, 0.28); (5.89, 0.27)\n",
- "Missori (5.83, 0.41); (5.81, 0.48)\n",
- "Kayode (6.03, 0.43); (6.06, 0.49)\n",
- "Oyono (5.93, 0.39); (5.90, 0.41)\n",
- "Ferreira J. (5.78, 0.40); (5.76, 0.45)\n",
- "Corazza (5.77, 0.39); (5.73, 0.45)\n",
- "Kristensen T. (5.85, 0.46); (5.90, 0.58)\n"
+ "Sommer (6.16, 0.43); (5.75, 0.63)\n",
+ "Szczesny (6.16, 0.45); (5.10, 0.74)\n",
+ "Meret (6.06, 0.45); (5.09, 0.74)\n",
+ "Provedel (6.16, 0.45); (4.50, 0.98)\n",
+ "Maignan (6.16, 0.44); (4.61, 0.91)\n",
+ "Rui Patricio (5.81, 0.51); (3.74, 1.19)\n",
+ "Skorupski (5.90, 0.50); (3.96, 1.15)\n",
+ "Milinkovic-Savic V. (6.15, 0.44); (5.41, 0.66)\n",
+ "Di Gregorio (6.23, 0.43); (5.10, 0.78)\n",
+ "Falcone (6.21, 0.45); (5.11, 0.76)\n",
+ "Silvestri (5.99, 0.46); (4.59, 0.91)\n",
+ "Terracciano (6.14, 0.45); (4.81, 0.86)\n",
+ "Carnesecchi (5.87, 0.50); (3.43, 1.37)\n",
+ "Radunovic (6.21, 0.42); (5.13, 0.73)\n",
+ "Montipo' (6.19, 0.44); (5.13, 0.73)\n",
+ "Martinez Jo. (6.08, 0.46); (4.86, 0.86)\n",
+ "Ochoa (6.05, 0.47); (3.48, 1.32)\n",
+ "Caprile (5.81, 0.48); (3.58, 1.25)\n",
+ "Turati (6.10, 0.48); (5.07, 0.75)\n",
+ "Consigli (5.99, 0.48); (3.88, 1.20)\n",
+ "Musso (6.17, 0.43); (5.72, 0.63)\n",
+ "Cragno (6.00, 0.49); (3.42, 1.40)\n",
+ "Perin (6.16, 0.44); (5.19, 0.69)\n",
+ "Berisha (5.83, 0.52); (3.40, 1.36)\n",
+ "Christensen O. (6.05, 0.47); (3.70, 1.22)\n",
+ "Sportiello (6.16, 0.44); (4.61, 0.91)\n",
+ "Mirante (6.16, 0.44); (4.61, 0.91)\n",
+ "Sepe (6.14, 0.45); (4.03, 1.09)\n",
+ "Leali (6.08, 0.46); (4.86, 0.86)\n",
+ "Lamanna (6.16, 0.45); (4.95, 0.79)\n",
+ "Sommariva (6.08, 0.46); (4.86, 0.86)\n",
+ "Pegolo (5.94, 0.49); (3.70, 1.28)\n",
+ "Perilli (6.17, 0.43); (5.19, 0.69)\n",
+ "Padelli (5.96, 0.46); (4.71, 0.90)\n",
+ "Scuffet (6.21, 0.42); (5.13, 0.73)\n",
+ "Gollini (5.83, 0.51); (3.91, 1.18)\n",
+ "Perisan (5.61, 0.50); (3.25, 1.32)\n",
+ "Audero (6.16, 0.43); (5.74, 0.63)\n",
+ "Di Gennaro (6.16, 0.43); (5.75, 0.63)\n",
+ "Pinsoglio (6.12, 0.48); (5.10, 0.74)\n",
+ "Aresti (6.21, 0.42); (5.13, 0.73)\n",
+ "Fiorillo (6.05, 0.47); (3.48, 1.32)\n",
+ "Cerofolini (6.21, 0.46); (5.10, 0.75)\n",
+ "Rossi F. (5.96, 0.50); (3.41, 1.37)\n",
+ "Costil (6.05, 0.47); (3.48, 1.32)\n",
+ "Ravaglia F. (5.90, 0.49); (3.86, 1.18)\n",
+ "Frattali (6.10, 0.48); (5.07, 0.75)\n",
+ "Contini (5.83, 0.51); (3.91, 1.18)\n",
+ "Brancolini (6.17, 0.46); (5.10, 0.74)\n",
+ "Berardi A. (6.17, 0.43); (5.19, 0.69)\n",
+ "Gemello (6.16, 0.43); (5.64, 0.63)\n",
+ "Boer (5.74, 0.53); (3.41, 1.35)\n",
+ "Bagnolini (5.90, 0.49); (3.86, 1.18)\n",
+ "Svilar (5.74, 0.53); (3.41, 1.35)\n",
+ "Sorrentino A. (5.97, 0.47); (3.98, 1.09)\n",
+ "Martinelli T. (6.04, 0.47); (4.11, 1.09)\n",
+ "Popa (6.16, 0.43); (5.64, 0.63)\n",
+ "Stubljar (5.81, 0.48); (3.58, 1.25)\n",
+ "Gori (6.16, 0.45); (4.95, 0.79)\n",
+ "Borbei (6.17, 0.46); (5.10, 0.74)\n",
+ "Okoye (5.96, 0.46); (4.71, 0.90)\n",
+ "Mandas (6.14, 0.45); (4.03, 1.09)\n",
+ "Dimarco (6.34, 0.39); (6.61, 0.67)\n",
+ "Di Lorenzo (6.31, 0.57); (6.97, 1.14)\n",
+ "Hernandez T. (6.13, 0.62); (6.74, 1.18)\n",
+ "Carlos Augusto (6.28, 0.48); (6.76, 0.92)\n",
+ "Danilo (6.32, 0.43); (6.65, 0.77)\n",
+ "Zappacosta (6.10, 0.56); (6.57, 0.98)\n",
+ "Schuurs (6.09, 0.46); (6.24, 0.63)\n",
+ "Posch (5.97, 0.48); (6.21, 0.75)\n",
+ "Bastoni (6.29, 0.38); (6.42, 0.50)\n",
+ "Smalling (6.12, 0.45); (6.40, 0.71)\n",
+ "Dumfries (6.26, 0.47); (6.73, 0.90)\n",
+ "Romagnoli (6.02, 0.50); (6.09, 0.64)\n",
+ "Pavard (6.12, 0.33); (6.23, 0.43)\n",
+ "Rrahmani (6.07, 0.54); (6.27, 0.72)\n",
+ "Spinazzola (6.20, 0.42); (6.50, 0.73)\n",
+ "Buongiorno (6.07, 0.48); (6.34, 0.78)\n",
+ "Bremer (6.08, 0.51); (6.29, 0.73)\n",
+ "Tomori (6.04, 0.46); (6.12, 0.58)\n",
+ "Biraghi (6.08, 0.56); (6.61, 1.03)\n",
+ "Mancini (6.01, 0.50); (6.27, 0.73)\n",
+ "Darmian (6.16, 0.36); (6.34, 0.51)\n",
+ "Bakker (5.99, 0.32); (6.07, 0.42)\n",
+ "Mazzocchi (5.79, 0.39); (5.92, 0.52)\n",
+ "Doig (6.00, 0.52); (6.31, 0.80)\n",
+ "Calabria (6.01, 0.45); (6.21, 0.66)\n",
+ "Acerbi (6.08, 0.35); (6.12, 0.37)\n",
+ "Cuadrado (6.05, 0.40); (6.15, 0.50)\n",
+ "Ebuehi (5.67, 0.43); (5.72, 0.52)\n",
+ "Casale (5.87, 0.47); (5.89, 0.58)\n",
+ "Holm (6.05, 0.41); (6.28, 0.60)\n",
+ "Baschirotto (5.93, 0.54); (6.10, 0.72)\n",
+ "Bijol (5.81, 0.53); (5.91, 0.70)\n",
+ "Thiaw (5.66, 0.68); (5.55, 0.67)\n",
+ "Mario Rui (6.00, 0.45); (6.10, 0.56)\n",
+ "Milenkovic (5.78, 0.59); (5.86, 0.76)\n",
+ "Rodriguez R. (5.98, 0.38); (5.98, 0.41)\n",
+ "Kolasinac (5.98, 0.38); (6.13, 0.51)\n",
+ "N'dicka (6.01, 0.28); (6.01, 0.29)\n",
+ "Scalvini (5.95, 0.56); (6.13, 0.74)\n",
+ "Perez N. (5.82, 0.45); (5.82, 0.55)\n",
+ "Kristensen (6.01, 0.36); (6.19, 0.54)\n",
+ "Izzo (5.93, 0.46); (5.98, 0.58)\n",
+ "De Vrij (6.24, 0.37); (6.35, 0.47)\n",
+ "Faraoni (5.85, 0.38); (5.96, 0.52)\n",
+ "Toloi (6.01, 0.46); (6.14, 0.61)\n",
+ "Kyriakopoulos (5.86, 0.31); (5.84, 0.35)\n",
+ "Bellanova (5.97, 0.41); (6.06, 0.51)\n",
+ "Mari' (5.77, 0.45); (5.74, 0.53)\n",
+ "Dodo' (5.80, 0.56); (5.91, 0.73)\n",
+ "Lucumi' (5.83, 0.42); (5.76, 0.47)\n",
+ "Hien (5.85, 0.48); (5.81, 0.54)\n",
+ "Natan (5.92, 0.49); (5.97, 0.57)\n",
+ "Hysaj (5.93, 0.39); (6.00, 0.51)\n",
+ "D'ambrosio (5.99, 0.32); (5.95, 0.35)\n",
+ "Luperto (5.54, 0.58); (5.47, 0.67)\n",
+ "Djimsiti (5.99, 0.40); (6.01, 0.43)\n",
+ "Marusic (5.84, 0.47); (5.79, 0.53)\n",
+ "Martin (5.91, 0.35); (6.02, 0.45)\n",
+ "Mina (5.97, 0.42); (6.24, 0.66)\n",
+ "Toljan (5.69, 0.45); (5.62, 0.49)\n",
+ "Llorente D. (5.81, 0.48); (5.83, 0.55)\n",
+ "Martinez Quarta (5.94, 0.58); (6.07, 0.75)\n",
+ "Bastoni S. (5.69, 0.43); (5.75, 0.56)\n",
+ "Dragusin (5.92, 0.45); (6.10, 0.62)\n",
+ "Parisi (6.04, 0.49); (6.24, 0.73)\n",
+ "Bradaric (5.76, 0.47); (5.81, 0.59)\n",
+ "Kamara H. (5.97, 0.33); (5.98, 0.39)\n",
+ "Olivera (5.98, 0.37); (6.11, 0.46)\n",
+ "Gendrey (5.92, 0.36); (5.92, 0.40)\n",
+ "Kristiansen (6.03, 0.37); (6.11, 0.52)\n",
+ "Beukema (5.94, 0.43); (5.94, 0.50)\n",
+ "Dossena (5.88, 0.38); (5.89, 0.45)\n",
+ "Pedersen (5.84, 0.33); (5.83, 0.35)\n",
+ "Juan Jesus (6.01, 0.34); (6.02, 0.34)\n",
+ "Gyomber (5.79, 0.49); (5.73, 0.54)\n",
+ "Alex Sandro (5.79, 0.51); (5.66, 0.52)\n",
+ "Hateboer (5.85, 0.50); (6.08, 0.74)\n",
+ "Palomino (5.92, 0.35); (5.94, 0.40)\n",
+ "Marchizza (5.95, 0.41); (5.98, 0.49)\n",
+ "Zappa (5.79, 0.38); (5.73, 0.37)\n",
+ "Gallo (5.90, 0.43); (5.90, 0.49)\n",
+ "Caldirola (5.69, 0.55); (5.74, 0.69)\n",
+ "Kalulu (5.82, 0.52); (5.80, 0.58)\n",
+ "Erlic (5.72, 0.52); (5.60, 0.54)\n",
+ "Vojvoda (5.91, 0.34); (5.96, 0.42)\n",
+ "Vasquez (5.96, 0.40); (5.97, 0.44)\n",
+ "Cambiaso (6.07, 0.40); (6.16, 0.48)\n",
+ "Pongracic (5.94, 0.43); (5.96, 0.50)\n",
+ "Viti (6.06, 0.31); (6.22, 0.44)\n",
+ "Gatti (6.13, 0.39); (6.19, 0.45)\n",
+ "Birindelli (5.88, 0.38); (5.86, 0.42)\n",
+ "Azzi (5.90, 0.33); (5.94, 0.40)\n",
+ "Wieteska (5.96, 0.42); (5.97, 0.51)\n",
+ "Masina (5.76, 0.49); (6.03, 0.71)\n",
+ "Romagnoli S. (5.88, 0.47); (5.94, 0.61)\n",
+ "Pezzella Giu. (5.53, 0.45); (5.43, 0.47)\n",
+ "Sabelli (5.96, 0.32); (6.03, 0.42)\n",
+ "Lirola (6.07, 0.46); (6.28, 0.68)\n",
+ "Lazzari (5.98, 0.39); (5.99, 0.43)\n",
+ "Bani (5.90, 0.54); (6.09, 0.76)\n",
+ "Djidji (5.84, 0.39); (5.86, 0.46)\n",
+ "Kabasele (5.79, 0.37); (5.74, 0.43)\n",
+ "Lazaro (6.02, 0.35); (6.07, 0.44)\n",
+ "Augello (5.85, 0.40); (5.92, 0.51)\n",
+ "Zortea (6.05, 0.46); (6.35, 0.70)\n",
+ "Dawidowicz (5.83, 0.47); (5.81, 0.55)\n",
+ "Pirola (5.72, 0.51); (5.78, 0.64)\n",
+ "Lovato (5.65, 0.44); (5.55, 0.46)\n",
+ "Ruggeri (6.09, 0.55); (6.46, 0.88)\n",
+ "Vina (5.78, 0.50); (5.75, 0.55)\n",
+ "Obert (5.76, 0.43); (5.71, 0.46)\n",
+ "Terracciano F. (6.08, 0.36); (6.17, 0.46)\n",
+ "Ebosele (5.77, 0.37); (5.74, 0.42)\n",
+ "Zemura (5.93, 0.31); (5.92, 0.36)\n",
+ "Hatzidiakos (5.95, 0.41); (5.97, 0.48)\n",
+ "Patric (5.97, 0.39); (5.93, 0.40)\n",
+ "Lykogiannis (5.84, 0.32); (5.88, 0.38)\n",
+ "Pellegrini Lu. (5.72, 0.37); (5.64, 0.39)\n",
+ "Magnani (5.78, 0.52); (5.75, 0.60)\n",
+ "Ranieri L. (5.67, 0.46); (5.64, 0.53)\n",
+ "Carboni A. (5.94, 0.37); (5.96, 0.45)\n",
+ "Calafiori (5.95, 0.40); (6.01, 0.53)\n",
+ "Monterisi (5.99, 0.62); (6.38, 1.03)\n",
+ "Ismajli (5.63, 0.46); (5.52, 0.48)\n",
+ "De Winter (5.83, 0.44); (5.74, 0.43)\n",
+ "Tressoldi (5.80, 0.47); (5.81, 0.56)\n",
+ "Ehizibue (5.74, 0.43); (5.76, 0.56)\n",
+ "Vogliacco (5.89, 0.45); (5.87, 0.50)\n",
+ "Ferrari G. (5.69, 0.52); (5.73, 0.63)\n",
+ "Venuti (5.79, 0.40); (5.75, 0.43)\n",
+ "Karsdorp (5.89, 0.25); (5.87, 0.24)\n",
+ "Kjaer (5.52, 0.38); (5.49, 0.35)\n",
+ "Gunter (5.67, 0.53); (5.59, 0.59)\n",
+ "Soumaoro (5.82, 0.54); (5.77, 0.61)\n",
+ "Di Pardo (5.81, 0.41); (5.76, 0.43)\n",
+ "Zanoli (6.10, 0.50); (6.48, 0.83)\n",
+ "Zima (5.92, 0.30); (5.89, 0.30)\n",
+ "Hefti (5.75, 0.42); (5.68, 0.42)\n",
+ "Ostigard (5.64, 0.38); (5.60, 0.36)\n",
+ "Sambia (5.92, 0.36); (5.95, 0.40)\n",
+ "Bisseck (5.97, 0.38); (6.01, 0.43)\n",
+ "Oyono (5.96, 0.39); (5.96, 0.43)\n",
+ "Ferreira J. (5.77, 0.37); (5.72, 0.41)\n",
+ "Dorgu (6.02, 0.33); (6.05, 0.37)\n",
+ "Touba (5.96, 0.40); (6.01, 0.49)\n",
+ "Sazonov (5.94, 0.43); (5.99, 0.54)\n",
+ "Rugani (6.07, 0.29); (6.08, 0.30)\n",
+ "De Sciglio (5.91, 0.33); (5.89, 0.32)\n",
+ "Goldaniga (5.66, 0.44); (5.57, 0.45)\n",
+ "Florenzi (5.97, 0.33); (6.04, 0.38)\n",
+ "De Silvestri (5.92, 0.32); (5.95, 0.40)\n",
+ "Pereira P. (5.85, 0.40); (5.83, 0.45)\n",
+ "Fazio (5.74, 0.62); (5.84, 0.79)\n",
+ "Bereszynski (5.54, 0.47); (5.46, 0.51)\n",
+ "Bonifazi (5.71, 0.44); (5.61, 0.45)\n",
+ "Walukiewicz (5.46, 0.41); (5.36, 0.37)\n",
+ "Okoli (5.88, 0.40); (5.84, 0.41)\n",
+ "Kumbulla (5.49, 0.75); (5.25, 0.70)\n",
+ "Celik (5.66, 0.38); (5.57, 0.37)\n",
+ "Amione (5.70, 0.45); (5.68, 0.55)\n",
+ "Daniliuc (5.68, 0.52); (5.68, 0.63)\n",
+ "Soppy (5.87, 0.36); (5.92, 0.45)\n",
+ "Haps (5.86, 0.45); (5.93, 0.57)\n",
+ "Cittadini (5.87, 0.45); (5.93, 0.59)\n",
+ "Coppola D. (5.75, 0.39); (5.67, 0.42)\n",
+ "Cacace (5.54, 0.40); (5.43, 0.39)\n",
+ "Ebosse (5.74, 0.34); (5.65, 0.34)\n",
+ "Guessand A. (5.77, 0.41); (5.77, 0.50)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Dermaku (5.97, 0.45); (5.99, 0.53)\n",
- "Tonelli (5.65, 0.48); (5.54, 0.52)\n",
- "Capradossi (5.94, 0.44); (5.95, 0.50)\n",
- "De Silvestri (5.83, 0.40); (5.90, 0.51)\n",
- "Pereira P. (5.87, 0.37); (5.84, 0.42)\n",
- "Bettella (5.93, 0.46); (5.95, 0.57)\n",
- "Okoli (5.83, 0.43); (5.74, 0.43)\n",
- "Amey (5.86, 0.47); (5.90, 0.60)\n",
- "Soppy (5.84, 0.42); (5.88, 0.54)\n",
- "Gila (5.93, 0.40); (5.88, 0.42)\n",
- "Guessand A. (5.91, 0.45); (5.96, 0.57)\n",
- "Bronn (5.79, 0.41); (5.69, 0.40)\n",
- "Guarino (5.83, 0.48); (5.89, 0.62)\n",
- "Carboni F. (5.84, 0.38); (5.80, 0.42)\n",
- "Smajlovic (5.98, 0.46); (6.02, 0.56)\n",
- "Matturro (5.92, 0.46); (5.91, 0.53)\n",
- "N'guessan (5.95, 0.46); (6.03, 0.60)\n",
- "Mateus Lusuardi (5.97, 0.47); (6.00, 0.56)\n",
- "Kalaj (5.97, 0.47); (6.00, 0.56)\n",
- "Pierozzi (5.96, 0.46); (5.98, 0.54)\n",
- "Huijsen (6.04, 0.44); (6.15, 0.56)\n",
- "Bonfanti (6.01, 0.44); (6.09, 0.54)\n",
- "Pellegrino (5.99, 0.45); (6.05, 0.54)\n",
- "Zaccagni (6.38, 0.55); (6.99, 1.15)\n",
- "Koopmeiners (6.41, 0.59); (7.18, 1.31)\n",
- "Felipe Anderson (6.23, 0.60); (6.87, 1.21)\n",
- "Luis Alberto (6.40, 0.55); (7.04, 1.18)\n",
- "Rabiot (6.35, 0.58); (7.09, 1.29)\n",
- "Zielinski (6.31, 0.47); (6.71, 0.86)\n",
- "Barella (6.38, 0.47); (6.86, 0.95)\n",
- "Pulisic (6.31, 0.46); (6.63, 0.76)\n",
- "Orsolini (6.20, 0.64); (6.89, 1.31)\n",
- "Chukwueze (6.11, 0.39); (6.30, 0.55)\n",
- "Strefezza (6.23, 0.51); (6.68, 0.94)\n",
- "Ferguson (6.28, 0.55); (6.84, 1.08)\n",
- "Candreva (6.30, 0.63); (7.01, 1.27)\n",
- "Calhanoglu (6.44, 0.43); (6.76, 0.78)\n",
- "Frattesi (6.32, 0.49); (6.83, 0.97)\n",
- "Samardzic (6.09, 0.49); (6.45, 0.82)\n",
- "Vlasic (6.18, 0.51); (6.59, 0.90)\n",
- "El Shaarawy (6.30, 0.50); (6.75, 0.96)\n",
- "Aouar (6.13, 0.53); (6.65, 0.99)\n",
- "Bonaventura (6.27, 0.60); (6.92, 1.21)\n",
- "Pellegrini Lo. (6.05, 0.56); (6.55, 0.99)\n",
- "Politano (6.29, 0.46); (6.64, 0.80)\n",
- "Malinovskyi (6.06, 0.57); (6.62, 1.09)\n",
- "Lovric (6.13, 0.47); (6.44, 0.76)\n",
- "Kamada (6.12, 0.49); (6.48, 0.82)\n",
- "Lindstrom (6.08, 0.46); (6.43, 0.78)\n",
- "Lazovic (6.28, 0.54); (6.74, 0.97)\n",
- "Loftus-Cheek (6.13, 0.36); (6.16, 0.38)\n",
- "Zambo Anguissa (6.15, 0.48); (6.51, 0.78)\n",
- "Elmas (6.19, 0.50); (6.59, 0.88)\n",
- "Kostic (6.25, 0.48); (6.64, 0.84)\n",
- "Gudmundsson A. (6.09, 0.44); (6.39, 0.74)\n",
- "Baldanzi (6.04, 0.45); (6.32, 0.71)\n",
- "Ciurria (6.15, 0.55); (6.64, 1.00)\n",
- "Pasalic (6.07, 0.46); (6.38, 0.71)\n",
- "Mkhitaryan (6.27, 0.43); (6.58, 0.71)\n",
- "Pessina (6.05, 0.47); (6.30, 0.71)\n",
- "Guendouzi (6.09, 0.35); (6.19, 0.45)\n",
- "Lobotka (6.12, 0.37); (6.17, 0.42)\n",
- "Bajrami (5.99, 0.38); (6.12, 0.47)\n",
- "Ricci S. (6.03, 0.38); (6.18, 0.53)\n",
- "Reijnders (6.22, 0.39); (6.43, 0.57)\n",
- "Pogba (6.04, 0.36); (6.06, 0.42)\n",
- "Renato Sanches (5.97, 0.32); (6.06, 0.37)\n",
- "Fagioli (6.13, 0.50); (6.49, 0.82)\n",
- "Ikone' (6.10, 0.59); (6.64, 1.05)\n",
- "Ilic (6.04, 0.42); (6.26, 0.63)\n",
- "Radonjic (6.29, 0.53); (6.79, 1.02)\n",
- "Ndoye (5.98, 0.39); (6.02, 0.50)\n",
- "Ederson D.s. (6.15, 0.41); (6.32, 0.57)\n",
- "Colpani (6.32, 0.54); (6.93, 1.12)\n",
- "De Roon (6.11, 0.44); (6.29, 0.63)\n",
- "Locatelli (6.08, 0.38); (6.11, 0.44)\n",
- "Barak (5.87, 0.47); (6.13, 0.66)\n",
- "Saponara (6.14, 0.49); (6.47, 0.80)\n",
- "Cristante (5.96, 0.37); (5.94, 0.42)\n",
- "Mandragora (6.02, 0.57); (6.48, 0.96)\n",
- "Weah (6.04, 0.29); (6.05, 0.30)\n",
- "Bennacer (6.24, 0.46); (6.52, 0.72)\n",
- "Klaassen (6.19, 0.40); (6.48, 0.67)\n",
- "Castrovilli (6.11, 0.61); (6.69, 1.10)\n",
- "Miranchuk (6.31, 0.50); (6.77, 0.93)\n",
- "Musah (6.01, 0.41); (6.05, 0.49)\n",
- "Matheus Henrique (5.90, 0.46); (6.20, 0.71)\n",
- "De Ketelaere (6.03, 0.43); (6.23, 0.57)\n",
- "Mboula (5.84, 0.34); (5.82, 0.39)\n",
- "Cataldi (6.03, 0.34); (5.99, 0.35)\n",
- "Jankto (5.99, 0.32); (5.98, 0.33)\n",
- "Sottil (5.98, 0.38); (6.12, 0.47)\n",
- "Arthur Melo (6.05, 0.46); (6.12, 0.55)\n",
- "Duda (6.20, 0.54); (6.62, 0.93)\n",
- "Thorsby (5.79, 0.50); (5.95, 0.68)\n",
- "Nandez (6.03, 0.33); (6.13, 0.45)\n",
- "Tameze (5.91, 0.39); (5.90, 0.47)\n",
- "Marin (5.94, 0.43); (6.07, 0.60)\n",
- "Messias (5.98, 0.56); (6.46, 0.97)\n",
- "Mckennie (6.20, 0.39); (6.42, 0.57)\n",
- "Reinier (5.98, 0.46); (6.03, 0.56)\n",
- "Zalewski (5.89, 0.37); (6.04, 0.48)\n",
- "Coulibaly L. (6.06, 0.51); (6.32, 0.77)\n",
- "Harroui (6.20, 0.45); (6.52, 0.73)\n",
- "Krunic (6.07, 0.37); (6.08, 0.42)\n",
- "Paredes (5.77, 0.49); (5.72, 0.57)\n",
- "Freuler (5.98, 0.31); (5.98, 0.36)\n",
- "Gagliardini (5.82, 0.39); (5.73, 0.39)\n",
- "Kastanos (6.02, 0.38); (6.12, 0.49)\n",
- "Lopez M. (5.87, 0.37); (5.77, 0.38)\n",
- "Gyasi (5.72, 0.41); (5.79, 0.51)\n",
- "Frendrup (6.00, 0.36); (6.13, 0.50)\n",
- "Moro N. (6.04, 0.39); (6.24, 0.58)\n",
- "Ramadani (6.11, 0.46); (6.23, 0.59)\n",
- "Mancosu (5.95, 0.44); (5.95, 0.49)\n",
- "Vecino (6.00, 0.43); (6.04, 0.53)\n",
- "Strootman (5.93, 0.35); (6.04, 0.47)\n",
- "Duncan (6.07, 0.44); (6.34, 0.69)\n",
- "Machin (5.94, 0.46); (5.98, 0.57)\n",
- "Sensi (6.11, 0.42); (6.30, 0.61)\n",
- "Linetty (5.92, 0.38); (5.96, 0.49)\n",
- "Walace (5.90, 0.37); (5.86, 0.41)\n",
- "Brescianini (6.00, 0.36); (6.00, 0.40)\n",
- "Pobega (6.01, 0.37); (6.12, 0.49)\n",
- "Bove (5.93, 0.38); (6.13, 0.55)\n",
- "Aebischer (5.87, 0.32); (5.99, 0.43)\n",
- "Thorstvedt (5.95, 0.35); (6.05, 0.44)\n",
- "Blin (5.98, 0.33); (5.97, 0.35)\n",
- "Gonzalez J. (5.94, 0.40); (5.99, 0.52)\n",
- "Oudin (6.07, 0.47); (6.33, 0.69)\n",
- "Fabbian (6.13, 0.39); (6.43, 0.74)\n",
- "Rafia (6.09, 0.40); (6.27, 0.58)\n",
- "Cajuste (5.96, 0.46); (5.99, 0.55)\n",
- "Kaba (6.00, 0.32); (5.99, 0.34)\n",
- "Grassi (5.94, 0.32); (5.89, 0.34)\n",
- "Badelj (5.90, 0.40); (5.86, 0.42)\n",
- "Mazzitelli (5.94, 0.46); (5.95, 0.53)\n",
- "Castillejo (5.92, 0.38); (6.10, 0.54)\n",
- "Hongla (5.82, 0.41); (5.88, 0.50)\n",
- "Miretti (6.00, 0.36); (6.04, 0.41)\n",
- "Fazzini (5.85, 0.30); (5.81, 0.32)\n",
- "Iling Junior (6.04, 0.44); (6.14, 0.56)\n",
- "Oristanio (5.93, 0.36); (5.89, 0.35)\n",
- "Boloca (5.81, 0.43); (5.78, 0.50)\n",
- "Makoumbou (5.93, 0.33); (5.98, 0.38)\n",
- "Martegani (6.04, 0.45); (6.09, 0.54)\n",
- "Serdar (5.91, 0.42); (5.92, 0.51)\n",
- "Payero (5.86, 0.46); (5.91, 0.59)\n",
- "Baez (6.07, 0.36); (6.24, 0.51)\n",
- "Deiola (5.90, 0.42); (6.01, 0.55)\n",
- "Bourabia (6.00, 0.40); (6.06, 0.49)\n",
- "Rovella (6.11, 0.46); (6.21, 0.59)\n",
- "Saelemaekers (5.98, 0.44); (6.28, 0.70)\n",
- "Maldini (6.00, 0.45); (6.31, 0.72)\n",
- "Racic (5.97, 0.34); (5.95, 0.38)\n",
- "Kovalenko (5.90, 0.33); (5.93, 0.38)\n",
- "Maleh (5.74, 0.31); (5.70, 0.37)\n",
- "Bohinen (5.95, 0.29); (5.90, 0.26)\n",
- "Ranocchia F. (6.11, 0.41); (6.30, 0.60)\n",
- "Infantino (5.88, 0.32); (5.83, 0.32)\n",
- "Kutlu (5.92, 0.40); (5.89, 0.43)\n",
- "Tchatchoua (5.94, 0.48); (5.99, 0.61)\n",
- "Garritano (6.09, 0.37); (6.13, 0.43)\n",
- "Quina (5.84, 0.37); (5.82, 0.42)\n",
- "Adopo (5.97, 0.30); (5.94, 0.29)\n",
- "Maggiore (5.95, 0.28); (5.91, 0.27)\n",
- "Romero L. (6.24, 0.50); (6.67, 0.90)\n",
- "Basic (6.00, 0.36); (6.03, 0.42)\n",
- "Asllani (6.07, 0.30); (6.06, 0.31)\n",
- "Tchaouna (6.07, 0.41); (6.11, 0.50)\n",
- "Sulemana I. (5.88, 0.31); (5.84, 0.30)\n",
- "Barrenechea (6.07, 0.38); (6.10, 0.43)\n",
- "Gelli (5.99, 0.48); (6.03, 0.56)\n",
- "Folorunsho (5.94, 0.49); (6.27, 0.77)\n",
- "Suslov (5.94, 0.48); (5.99, 0.61)\n",
- "Gaetano (6.17, 0.55); (6.78, 1.09)\n",
- "Jagiello (5.94, 0.44); (5.92, 0.50)\n",
- "Obiang (5.93, 0.30); (5.88, 0.30)\n",
- "Akpa Akpro (5.94, 0.46); (5.98, 0.57)\n",
- "Urbanski (5.97, 0.35); (5.99, 0.43)\n",
- "Volpato (6.14, 0.40); (6.32, 0.58)\n",
- "Vignato S. (5.88, 0.37); (5.85, 0.41)\n",
- "Hrustic (5.63, 0.33); (5.64, 0.36)\n",
- "Zarraga (5.65, 0.41); (5.60, 0.43)\n",
- "Camara E. (5.86, 0.46); (5.91, 0.59)\n",
- "Amatucci (5.95, 0.39); (5.93, 0.44)\n",
- "Viola (5.88, 0.31); (5.84, 0.28)\n",
- "Lulic K. (5.98, 0.46); (6.03, 0.56)\n",
- "Rog (5.90, 0.35); (5.87, 0.34)\n",
- "Nicolussi Caviglia (5.89, 0.47); (5.91, 0.57)\n",
- "Demme (5.97, 0.26); (5.90, 0.23)\n",
- "Pafundi (6.05, 0.30); (6.05, 0.31)\n",
- "Adli (5.94, 0.39); (5.96, 0.45)\n",
- "Bondo (5.96, 0.41); (5.98, 0.49)\n",
- "Zerbin (6.01, 0.41); (6.07, 0.49)\n",
- "Carboni V. (6.04, 0.35); (6.05, 0.41)\n",
- "Faticanti (5.99, 0.45); (6.03, 0.55)\n",
- "Gineitis (5.98, 0.44); (6.07, 0.59)\n",
- "Belardinelli (5.88, 0.45); (5.96, 0.60)\n",
- "El Azzouzi (5.99, 0.30); (6.00, 0.36)\n",
- "Lipani (5.91, 0.43); (5.92, 0.53)\n",
- "Joselito (5.94, 0.48); (5.99, 0.61)\n",
- "Pagano (6.05, 0.34); (6.10, 0.42)\n",
- "Legowski (6.03, 0.45); (6.09, 0.57)\n",
- "Prati (5.95, 0.44); (5.95, 0.49)\n",
- "Osimhen (6.52, 0.78); (8.01, 2.11)\n",
- "Martinez L. (6.53, 0.69); (7.81, 1.85)\n",
- "Rafael Leao (6.47, 0.69); (7.66, 1.77)\n",
- "Immobile (6.33, 0.70); (7.33, 1.64)\n",
- "Berardi (6.48, 0.71); (7.78, 1.87)\n",
- "Lukaku (6.31, 0.74); (7.32, 1.60)\n",
- "Kvaratskhelia (6.44, 0.70); (7.65, 1.79)\n",
- "Dybala (6.42, 0.70); (7.63, 1.80)\n",
- "Vlahovic (6.32, 0.75); (7.31, 1.67)\n",
- "Giroud (6.43, 0.66); (7.51, 1.66)\n",
- "Scamacca (6.39, 0.72); (7.52, 1.75)\n",
- "Dia (6.38, 0.74); (7.54, 1.79)\n",
- "Thuram (6.44, 0.55); (7.17, 1.27)\n",
- "Lookman (6.39, 0.70); (7.47, 1.70)\n",
- "Sanabria (6.24, 0.65); (7.08, 1.40)\n",
- "Arnautovic (6.42, 0.58); (7.27, 1.40)\n",
- "Retegui (6.01, 0.64); (6.58, 1.08)\n",
- "Nzola (6.18, 0.71); (7.02, 1.40)\n",
- "Lauriente' (6.35, 0.62); (7.14, 1.37)\n",
- "Zapata D. (5.98, 0.48); (6.33, 0.76)\n",
- "Chiesa (6.37, 0.57); (7.08, 1.24)\n",
- "Milik (6.24, 0.53); (6.74, 1.00)\n",
- "Gonzalez N. (6.28, 0.72); (7.25, 1.56)\n",
- "Okafor (6.00, 0.35); (6.02, 0.39)\n"
+ "Cabal (5.87, 0.25); (5.83, 0.24)\n",
+ "Missori (5.76, 0.43); (5.73, 0.48)\n",
+ "Kayode (5.99, 0.44); (6.02, 0.52)\n",
+ "Corazza (5.71, 0.39); (5.67, 0.44)\n",
+ "Kristensen T. (5.81, 0.45); (5.85, 0.58)\n",
+ "Dermaku (5.91, 0.43); (5.96, 0.54)\n",
+ "Tonelli (5.56, 0.49); (5.44, 0.53)\n",
+ "Capradossi (5.90, 0.44); (5.91, 0.53)\n",
+ "Bettella (5.87, 0.45); (5.93, 0.59)\n",
+ "Amey (5.82, 0.46); (5.87, 0.59)\n",
+ "Gila (5.86, 0.44); (5.84, 0.49)\n",
+ "Bronn (5.62, 0.45); (5.50, 0.46)\n",
+ "Guarino (5.67, 0.50); (5.67, 0.59)\n",
+ "Carboni F. (5.96, 0.37); (5.99, 0.45)\n",
+ "Smajlovic (5.91, 0.45); (5.98, 0.57)\n",
+ "Matturro (5.89, 0.45); (5.87, 0.50)\n",
+ "N'guessan (5.94, 0.43); (5.99, 0.54)\n",
+ "Mateus Lusuardi (5.92, 0.46); (5.97, 0.56)\n",
+ "Kalaj (5.92, 0.46); (5.97, 0.56)\n",
+ "Pierozzi (5.88, 0.48); (5.92, 0.58)\n",
+ "Huijsen (5.99, 0.42); (6.10, 0.54)\n",
+ "Bonfanti (5.97, 0.46); (6.07, 0.59)\n",
+ "Pellegrino (5.93, 0.46); (6.01, 0.59)\n",
+ "Comuzzo (5.88, 0.48); (5.92, 0.58)\n",
+ "Zaccagni (6.32, 0.53); (6.95, 1.16)\n",
+ "Koopmeiners (6.38, 0.57); (7.20, 1.36)\n",
+ "Luis Alberto (6.38, 0.53); (7.09, 1.23)\n",
+ "Felipe Anderson (6.14, 0.58); (6.77, 1.17)\n",
+ "Rabiot (6.31, 0.55); (7.06, 1.28)\n",
+ "Zielinski (6.30, 0.46); (6.71, 0.86)\n",
+ "Barella (6.35, 0.45); (6.79, 0.89)\n",
+ "Pulisic (6.21, 0.54); (6.81, 1.09)\n",
+ "Orsolini (6.18, 0.59); (6.84, 1.25)\n",
+ "Calhanoglu (6.42, 0.39); (6.67, 0.69)\n",
+ "Strefezza (6.19, 0.50); (6.64, 0.92)\n",
+ "Chukwueze (5.95, 0.43); (6.24, 0.66)\n",
+ "Ferguson (6.22, 0.52); (6.74, 1.01)\n",
+ "Candreva (6.17, 0.65); (6.86, 1.30)\n",
+ "Frattesi (6.35, 0.53); (7.04, 1.20)\n",
+ "Samardzic (6.06, 0.51); (6.47, 0.87)\n",
+ "Vlasic (6.13, 0.51); (6.59, 0.93)\n",
+ "Bonaventura (6.28, 0.57); (6.97, 1.23)\n",
+ "Politano (6.35, 0.45); (6.77, 0.90)\n",
+ "El Shaarawy (6.28, 0.46); (6.70, 0.90)\n",
+ "Mkhitaryan (6.36, 0.51); (7.00, 1.11)\n",
+ "Aouar (6.17, 0.49); (6.64, 0.94)\n",
+ "Malinovskyi (6.02, 0.56); (6.61, 1.10)\n",
+ "Gudmundsson A. (6.12, 0.46); (6.47, 0.78)\n",
+ "Kamada (6.06, 0.50); (6.49, 0.87)\n",
+ "Pellegrini Lo. (6.08, 0.56); (6.63, 1.05)\n",
+ "Kostic (6.22, 0.48); (6.68, 0.90)\n",
+ "Radonjic (6.32, 0.57); (7.08, 1.31)\n",
+ "Baldanzi (5.75, 0.44); (5.97, 0.62)\n",
+ "Lovric (6.05, 0.46); (6.37, 0.76)\n",
+ "Lindstrom (6.05, 0.45); (6.40, 0.74)\n",
+ "Lazovic (6.17, 0.49); (6.57, 0.87)\n",
+ "Pereyra (6.14, 0.56); (6.68, 1.07)\n",
+ "Renato Sanches (6.14, 0.40); (6.37, 0.61)\n",
+ "Pessina (6.02, 0.48); (6.33, 0.80)\n",
+ "Guendouzi (6.03, 0.36); (6.16, 0.47)\n",
+ "Loftus-Cheek (6.06, 0.36); (6.14, 0.42)\n",
+ "Zambo Anguissa (6.10, 0.50); (6.49, 0.83)\n",
+ "Elmas (6.02, 0.54); (6.50, 0.93)\n",
+ "Bajrami (5.93, 0.36); (6.03, 0.43)\n",
+ "Ricci S. (6.04, 0.38); (6.18, 0.52)\n",
+ "Colpani (6.33, 0.53); (7.03, 1.22)\n",
+ "Ciurria (6.06, 0.54); (6.54, 1.00)\n",
+ "De Roon (6.12, 0.50); (6.46, 0.80)\n",
+ "Pogba (6.03, 0.35); (6.08, 0.41)\n",
+ "Cristante (6.14, 0.51); (6.50, 0.83)\n",
+ "Locatelli (6.12, 0.40); (6.23, 0.52)\n",
+ "Pasalic (5.95, 0.47); (6.31, 0.76)\n",
+ "Lobotka (6.08, 0.37); (6.16, 0.43)\n",
+ "Fagioli (6.09, 0.50); (6.48, 0.84)\n",
+ "Ikone' (6.04, 0.56); (6.60, 1.03)\n",
+ "Ilic (6.04, 0.43); (6.31, 0.69)\n",
+ "Ndoye (5.90, 0.39); (5.96, 0.50)\n",
+ "Ederson D.s. (6.09, 0.48); (6.42, 0.77)\n",
+ "Reijnders (6.09, 0.45); (6.39, 0.70)\n",
+ "Barak (5.81, 0.44); (6.03, 0.61)\n",
+ "Saponara (6.08, 0.48); (6.43, 0.79)\n",
+ "Mandragora (5.94, 0.55); (6.38, 0.90)\n",
+ "Weah (6.04, 0.27); (6.09, 0.30)\n",
+ "Bennacer (6.16, 0.46); (6.53, 0.78)\n",
+ "Duda (6.24, 0.53); (6.79, 1.06)\n",
+ "Castrovilli (6.03, 0.58); (6.59, 1.04)\n",
+ "Mckennie (6.25, 0.44); (6.58, 0.74)\n",
+ "Miranchuk (6.22, 0.50); (6.69, 0.93)\n",
+ "Matheus Henrique (5.81, 0.46); (6.06, 0.66)\n",
+ "De Ketelaere (5.98, 0.48); (6.32, 0.75)\n",
+ "Mboula (5.81, 0.33); (5.77, 0.35)\n",
+ "Paredes (5.79, 0.53); (5.78, 0.61)\n",
+ "Sottil (5.95, 0.39); (6.13, 0.52)\n",
+ "Klaassen (6.16, 0.40); (6.45, 0.67)\n",
+ "Arthur Melo (6.01, 0.47); (6.09, 0.57)\n",
+ "Thorsby (5.75, 0.48); (5.86, 0.63)\n",
+ "Nandez (6.02, 0.35); (6.15, 0.50)\n",
+ "Tameze (5.91, 0.34); (5.90, 0.37)\n",
+ "Marin (5.71, 0.48); (5.79, 0.62)\n",
+ "Messias (5.96, 0.53); (6.44, 0.96)\n",
+ "Musah (5.96, 0.36); (5.98, 0.41)\n",
+ "Coulibaly L. (5.91, 0.49); (6.16, 0.73)\n",
+ "Krunic (5.98, 0.38); (6.00, 0.44)\n",
+ "Cataldi (5.97, 0.36); (5.94, 0.38)\n",
+ "Strootman (5.95, 0.37); (6.06, 0.49)\n",
+ "Duncan (6.10, 0.45); (6.42, 0.74)\n",
+ "Freuler (5.95, 0.29); (5.94, 0.33)\n",
+ "Gagliardini (5.85, 0.38); (5.80, 0.39)\n",
+ "Mazzitelli (6.09, 0.65); (6.51, 1.06)\n",
+ "Jankto (5.95, 0.31); (5.94, 0.33)\n",
+ "Kastanos (5.86, 0.35); (5.98, 0.44)\n",
+ "Gyasi (5.63, 0.43); (5.62, 0.50)\n",
+ "Reinier (5.93, 0.46); (6.00, 0.57)\n",
+ "Zalewski (5.94, 0.36); (6.09, 0.46)\n",
+ "Harroui (6.19, 0.46); (6.59, 0.82)\n",
+ "Frendrup (6.01, 0.37); (6.13, 0.49)\n",
+ "Blin (5.95, 0.29); (5.96, 0.32)\n",
+ "Fabbian (6.05, 0.43); (6.36, 0.77)\n",
+ "Ramadani (6.11, 0.45); (6.26, 0.60)\n",
+ "Cajuste (5.92, 0.48); (5.98, 0.57)\n",
+ "Mancosu (5.91, 0.44); (5.94, 0.53)\n",
+ "Vecino (5.91, 0.44); (6.00, 0.58)\n",
+ "Sensi (6.15, 0.45); (6.49, 0.72)\n",
+ "Walace (5.81, 0.38); (5.76, 0.43)\n",
+ "Lopez M. (5.78, 0.40); (5.70, 0.41)\n",
+ "Brescianini (6.01, 0.37); (6.02, 0.41)\n",
+ "Bove (6.03, 0.35); (6.18, 0.48)\n",
+ "Aebischer (5.90, 0.33); (6.00, 0.43)\n",
+ "Thorstvedt (5.90, 0.34); (5.97, 0.41)\n",
+ "Gonzalez J. (5.89, 0.39); (5.98, 0.53)\n",
+ "Moro N. (6.01, 0.37); (6.19, 0.54)\n",
+ "Oudin (6.02, 0.48); (6.31, 0.76)\n",
+ "Boloca (5.80, 0.48); (5.80, 0.57)\n",
+ "Rafia (6.04, 0.37); (6.24, 0.55)\n",
+ "Makoumbou (5.91, 0.33); (5.95, 0.41)\n",
+ "Kaba (5.97, 0.27); (5.97, 0.29)\n",
+ "Badelj (5.87, 0.40); (5.85, 0.39)\n",
+ "Machin (5.85, 0.46); (5.92, 0.60)\n",
+ "Linetty (5.90, 0.35); (5.92, 0.41)\n",
+ "Castillejo (5.83, 0.36); (6.00, 0.50)\n",
+ "Rovella (6.05, 0.46); (6.17, 0.59)\n",
+ "Pobega (5.91, 0.37); (6.07, 0.50)\n",
+ "Hongla (5.86, 0.37); (5.90, 0.44)\n",
+ "Miretti (6.00, 0.35); (6.09, 0.42)\n",
+ "Fazzini (5.67, 0.33); (5.56, 0.35)\n",
+ "Iling Junior (5.99, 0.42); (6.11, 0.55)\n",
+ "Oristanio (5.89, 0.37); (5.86, 0.38)\n",
+ "Serdar (5.89, 0.38); (5.89, 0.45)\n",
+ "Payero (5.84, 0.41); (5.87, 0.52)\n",
+ "Grassi (5.67, 0.42); (5.56, 0.44)\n",
+ "Baez (5.99, 0.37); (6.11, 0.47)\n",
+ "Deiola (5.76, 0.46); (5.82, 0.59)\n",
+ "Garritano (6.13, 0.34); (6.18, 0.41)\n",
+ "Bourabia (5.97, 0.40); (6.07, 0.50)\n",
+ "Saelemaekers (5.95, 0.43); (6.21, 0.66)\n",
+ "Maldini (5.81, 0.45); (6.10, 0.69)\n",
+ "Racic (5.91, 0.35); (5.90, 0.39)\n",
+ "Kovalenko (5.78, 0.34); (5.73, 0.37)\n",
+ "Maleh (5.65, 0.30); (5.53, 0.32)\n",
+ "Bohinen (5.91, 0.26); (5.88, 0.25)\n",
+ "Ranocchia F. (5.88, 0.40); (6.11, 0.57)\n",
+ "Folorunsho (5.93, 0.47); (6.24, 0.76)\n",
+ "Infantino (5.82, 0.32); (5.77, 0.32)\n",
+ "Martegani (5.88, 0.45); (5.92, 0.54)\n",
+ "Kutlu (5.87, 0.40); (5.85, 0.41)\n",
+ "Tchatchoua (5.89, 0.46); (5.97, 0.59)\n",
+ "Quina (5.97, 0.35); (6.01, 0.43)\n",
+ "Adopo (5.85, 0.51); (5.87, 0.58)\n",
+ "Romero L. (6.19, 0.49); (6.68, 0.97)\n",
+ "Basic (5.96, 0.37); (6.05, 0.46)\n",
+ "Asllani (5.89, 0.31); (5.88, 0.27)\n",
+ "Tchaouna (5.81, 0.38); (5.81, 0.44)\n",
+ "Sulemana I. (5.83, 0.31); (5.78, 0.31)\n",
+ "Barrenechea (5.96, 0.42); (5.99, 0.48)\n",
+ "Gelli (5.94, 0.47); (6.01, 0.56)\n",
+ "Suslov (5.92, 0.42); (5.96, 0.53)\n",
+ "Gaetano (6.12, 0.53); (6.72, 1.06)\n",
+ "Jagiello (5.90, 0.45); (5.90, 0.50)\n",
+ "Obiang (5.90, 0.30); (5.86, 0.30)\n",
+ "Maggiore (5.89, 0.25); (5.86, 0.24)\n",
+ "Akpa Akpro (5.85, 0.46); (5.92, 0.60)\n",
+ "Urbanski (5.94, 0.34); (5.98, 0.44)\n",
+ "Volpato (5.92, 0.39); (6.05, 0.54)\n",
+ "Vignato S. (5.81, 0.40); (5.78, 0.45)\n",
+ "Hrustic (5.63, 0.32); (5.62, 0.34)\n",
+ "Zarraga (5.63, 0.39); (5.57, 0.41)\n",
+ "Camara E. (5.82, 0.45); (5.88, 0.59)\n",
+ "Amatucci (5.86, 0.41); (5.87, 0.48)\n",
+ "Pagano (5.98, 0.28); (5.98, 0.30)\n",
+ "Prati (5.91, 0.40); (5.91, 0.44)\n",
+ "Viola (5.85, 0.33); (5.82, 0.30)\n",
+ "Lulic K. (5.93, 0.46); (6.00, 0.57)\n",
+ "Rog (5.87, 0.36); (5.85, 0.36)\n",
+ "Nicolussi Caviglia (5.83, 0.48); (6.00, 0.67)\n",
+ "Demme (6.00, 0.26); (5.95, 0.22)\n",
+ "Pafundi (6.04, 0.31); (6.06, 0.32)\n",
+ "Adli (5.83, 0.40); (5.94, 0.51)\n",
+ "Bondo (5.91, 0.42); (5.96, 0.54)\n",
+ "Zerbin (6.05, 0.35); (6.12, 0.41)\n",
+ "Carboni V. (5.99, 0.37); (6.06, 0.47)\n",
+ "Faticanti (5.92, 0.44); (6.01, 0.57)\n",
+ "Gineitis (5.97, 0.37); (6.02, 0.47)\n",
+ "Belardinelli (5.69, 0.49); (5.71, 0.60)\n",
+ "El Azzouzi (5.96, 0.30); (5.98, 0.36)\n",
+ "Lipani (5.83, 0.46); (5.86, 0.56)\n",
+ "Joselito (5.89, 0.46); (5.97, 0.59)\n",
+ "Legowski (5.88, 0.48); (5.96, 0.61)\n",
+ "Ibrahimovic A. (5.93, 0.46); (6.00, 0.57)\n",
+ "Osimhen (6.47, 0.76); (7.90, 2.05)\n",
+ "Martinez L. (6.50, 0.67); (7.94, 1.98)\n",
+ "Rafael Leao (6.43, 0.67); (7.72, 1.86)\n",
+ "Lukaku (6.33, 0.72); (7.50, 1.75)\n",
+ "Berardi (6.40, 0.71); (7.68, 1.89)\n",
+ "Immobile (6.14, 0.67); (6.99, 1.42)\n",
+ "Vlahovic (6.35, 0.74); (7.45, 1.76)\n",
+ "Dybala (6.43, 0.73); (7.78, 1.95)\n",
+ "Kvaratskhelia (6.40, 0.66); (7.57, 1.74)\n",
+ "Giroud (6.38, 0.66); (7.58, 1.77)\n",
+ "Scamacca (6.28, 0.73); (7.33, 1.67)\n",
+ "Thuram (6.47, 0.53); (7.27, 1.35)\n",
+ "Lookman (6.37, 0.70); (7.53, 1.78)\n",
+ "Dia (6.24, 0.72); (7.26, 1.61)\n",
+ "Arnautovic (6.36, 0.56); (7.18, 1.33)\n",
+ "Retegui (6.03, 0.65); (6.71, 1.21)\n",
+ "Sanabria (6.18, 0.60); (6.99, 1.34)\n",
+ "Nzola (5.99, 0.62); (6.63, 1.10)\n",
+ "Lauriente' (6.23, 0.61); (6.98, 1.36)\n",
+ "Zapata D. (5.96, 0.46); (6.29, 0.74)\n",
+ "Chiesa (6.41, 0.56); (7.25, 1.38)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Toure' E. (6.01, 0.44); (6.09, 0.53)\n",
- "Beltran L. (5.91, 0.54); (6.38, 0.85)\n",
- "Lapadula (6.08, 0.54); (6.60, 1.02)\n",
- "Caprari (6.03, 0.52); (6.42, 0.86)\n",
- "Sanchez (6.27, 0.48); (6.70, 0.89)\n",
- "Abraham (6.18, 0.64); (6.95, 1.29)\n",
- "Caputo (5.87, 0.51); (6.27, 0.79)\n",
- "Ngonge (6.27, 0.64); (7.07, 1.36)\n",
- "Muriel (6.17, 0.46); (6.44, 0.73)\n",
- "Pinamonti (5.89, 0.54); (6.27, 0.85)\n",
- "Deulofeu (6.36, 0.61); (7.20, 1.42)\n",
- "Jovic (6.07, 0.64); (6.70, 1.17)\n",
- "Zirkzee (6.28, 0.52); (6.82, 1.05)\n",
- "Krstovic (6.23, 0.41); (6.49, 0.64)\n",
- "Petagna (6.02, 0.51); (6.46, 0.88)\n",
- "Belotti (6.02, 0.54); (6.52, 0.94)\n",
- "Simeone (6.20, 0.52); (6.71, 1.00)\n",
- "Cambiaghi (6.20, 0.51); (6.63, 0.92)\n",
- "Shomurodov (5.63, 0.34); (5.73, 0.38)\n",
- "Azmoun (6.00, 0.44); (6.38, 0.78)\n",
- "Castellanos (6.07, 0.33); (6.08, 0.37)\n",
- "Thauvin (5.76, 0.31); (5.89, 0.38)\n",
- "Pedro (6.12, 0.49); (6.44, 0.78)\n",
- "Brekalo (6.15, 0.66); (6.86, 1.24)\n",
- "Henry (5.90, 0.55); (6.31, 0.84)\n",
- "Mulattieri (6.02, 0.42); (6.40, 0.79)\n",
- "Almqvist (6.05, 0.55); (6.40, 0.87)\n",
- "Isaksen (5.95, 0.39); (5.93, 0.45)\n",
- "Karlsson (6.10, 0.43); (6.47, 0.80)\n",
- "Kean (5.93, 0.62); (6.45, 1.06)\n",
- "Karamoh (6.06, 0.47); (6.41, 0.78)\n",
- "Djuric (6.01, 0.37); (6.16, 0.49)\n",
- "Davis K. (5.85, 0.46); (5.94, 0.59)\n",
- "Mota (5.94, 0.58); (6.40, 0.95)\n",
- "Brenner (5.85, 0.46); (5.94, 0.59)\n",
- "Cheddira (6.07, 0.55); (6.58, 1.01)\n",
- "Defrel (5.80, 0.43); (6.05, 0.64)\n",
- "Raspadori (5.86, 0.48); (6.17, 0.69)\n",
- "Colombo (5.93, 0.58); (6.41, 0.94)\n",
- "Luvumbo (6.00, 0.36); (6.17, 0.50)\n",
- "Banda (6.10, 0.43); (6.30, 0.62)\n",
- "Bonazzoli (6.07, 0.53); (6.50, 0.89)\n",
- "Pellegri (5.82, 0.44); (6.09, 0.65)\n",
- "Kouame' (6.01, 0.59); (6.53, 0.98)\n",
- "Piccoli (5.95, 0.51); (6.36, 0.84)\n",
- "Success (5.88, 0.42); (6.13, 0.61)\n",
- "Botheim (5.79, 0.42); (6.02, 0.59)\n",
- "Lucca (5.97, 0.45); (6.31, 0.72)\n",
- "Caso (6.14, 0.43); (6.41, 0.71)\n",
- "Cancellieri (5.67, 0.32); (5.68, 0.34)\n",
- "Jovane (6.03, 0.46); (6.14, 0.59)\n",
- "Pavoletti (5.95, 0.39); (6.20, 0.62)\n",
- "Soule' (6.15, 0.43); (6.37, 0.62)\n",
- "Alvarez A. (5.92, 0.44); (6.22, 0.68)\n",
- "Cuni (5.98, 0.32); (5.98, 0.34)\n",
- "Ekuban (5.86, 0.35); (6.01, 0.43)\n",
- "Seck (6.01, 0.30); (6.08, 0.34)\n",
- "Kvernadze (5.95, 0.42); (5.98, 0.49)\n",
- "Destro (5.77, 0.42); (5.95, 0.59)\n",
- "Van Hooijdonk (5.90, 0.41); (5.98, 0.54)\n",
- "Ceide (5.89, 0.33); (6.00, 0.35)\n",
- "Maric (5.96, 0.36); (5.97, 0.42)\n",
- "Shpendi S. (5.85, 0.41); (5.93, 0.54)\n",
- "Ikwuemesi (5.94, 0.38); (5.94, 0.42)\n",
- "Puscas (5.95, 0.45); (5.98, 0.53)\n",
- "Ake' M. (5.91, 0.39); (5.93, 0.46)\n",
- "Braaf (5.63, 0.37); (5.78, 0.45)\n",
- "Kallon (5.89, 0.44); (6.15, 0.65)\n",
- "Kaio Jorge (5.93, 0.29); (5.92, 0.28)\n",
- "Valencia D. (5.81, 0.31); (5.76, 0.33)\n",
- "Vivaldo (5.85, 0.46); (5.94, 0.59)\n",
- "Bidaoui (5.98, 0.47); (6.05, 0.58)\n",
- "Burnete (6.01, 0.41); (6.07, 0.51)\n",
- "Corfitzen (5.99, 0.46); (6.07, 0.59)\n",
- "Stewart (6.03, 0.46); (6.14, 0.59)\n",
- "Yildiz (6.03, 0.45); (6.15, 0.57)\n"
+ "Milik (6.20, 0.50); (6.71, 0.99)\n",
+ "Gonzalez N. (6.25, 0.64); (7.23, 1.53)\n",
+ "Okafor (5.95, 0.29); (5.95, 0.31)\n",
+ "Pinamonti (5.93, 0.59); (6.45, 1.01)\n",
+ "Beltran L. (5.98, 0.55); (6.50, 0.95)\n",
+ "Caprari (5.98, 0.52); (6.40, 0.89)\n",
+ "Sanchez (6.18, 0.46); (6.61, 0.86)\n",
+ "Caputo (5.69, 0.46); (5.95, 0.61)\n",
+ "Toure' E. (5.97, 0.45); (6.11, 0.59)\n",
+ "Krstovic (6.26, 0.43); (6.63, 0.79)\n",
+ "Belotti (6.11, 0.49); (6.59, 0.93)\n",
+ "Muriel (6.13, 0.46); (6.50, 0.81)\n",
+ "Lapadula (5.99, 0.51); (6.44, 0.94)\n",
+ "Jovic (6.00, 0.59); (6.59, 1.07)\n",
+ "Abraham (6.19, 0.60); (6.98, 1.31)\n",
+ "Zirkzee (6.21, 0.50); (6.73, 1.00)\n",
+ "Ngonge (6.08, 0.58); (6.70, 1.13)\n",
+ "Petagna (5.94, 0.50); (6.35, 0.87)\n",
+ "Simeone (5.82, 0.49); (6.25, 0.75)\n",
+ "Deulofeu (6.30, 0.59); (7.13, 1.41)\n",
+ "Pedro (6.04, 0.48); (6.38, 0.79)\n",
+ "Shomurodov (5.75, 0.39); (5.96, 0.56)\n",
+ "Azmoun (5.89, 0.38); (6.14, 0.58)\n",
+ "Castellanos (5.96, 0.29); (5.95, 0.31)\n",
+ "Cheddira (6.12, 0.63); (6.86, 1.30)\n",
+ "Karlsson (6.10, 0.44); (6.46, 0.79)\n",
+ "Brekalo (6.05, 0.60); (6.69, 1.12)\n",
+ "Cambiaghi (5.99, 0.57); (6.53, 1.05)\n",
+ "Henry (5.86, 0.51); (6.22, 0.79)\n",
+ "Mulattieri (5.91, 0.39); (6.22, 0.68)\n",
+ "Almqvist (6.05, 0.54); (6.48, 0.91)\n",
+ "Isaksen (5.86, 0.42); (5.90, 0.51)\n",
+ "Kean (5.87, 0.57); (6.31, 0.93)\n",
+ "Karamoh (5.96, 0.41); (6.22, 0.64)\n",
+ "Thauvin (5.71, 0.34); (5.82, 0.42)\n",
+ "Kouame' (6.10, 0.63); (6.86, 1.28)\n",
+ "Raspadori (5.93, 0.53); (6.36, 0.85)\n",
+ "Colombo (5.91, 0.55); (6.39, 0.95)\n",
+ "Luvumbo (5.96, 0.37); (6.11, 0.52)\n",
+ "Mota (5.87, 0.54); (6.29, 0.88)\n",
+ "Brenner (5.81, 0.45); (5.90, 0.59)\n",
+ "Bonazzoli (5.99, 0.48); (6.37, 0.80)\n",
+ "Djuric (5.95, 0.35); (6.10, 0.47)\n",
+ "Davis K. (5.81, 0.45); (5.90, 0.59)\n",
+ "Banda (6.08, 0.44); (6.35, 0.69)\n",
+ "Defrel (5.75, 0.42); (5.96, 0.59)\n",
+ "Sansone (6.19, 0.56); (6.85, 1.19)\n",
+ "Pellegri (5.79, 0.41); (6.00, 0.58)\n",
+ "Piccoli (5.87, 0.41); (6.14, 0.63)\n",
+ "Success (5.87, 0.41); (6.09, 0.61)\n",
+ "Botheim (5.71, 0.35); (5.84, 0.47)\n",
+ "Lucca (5.81, 0.38); (5.95, 0.53)\n",
+ "Caso (6.13, 0.47); (6.53, 0.84)\n",
+ "Jovane (5.86, 0.48); (5.99, 0.64)\n",
+ "Soule' (6.25, 0.42); (6.54, 0.71)\n",
+ "Pavoletti (5.80, 0.38); (5.97, 0.55)\n",
+ "Cancellieri (5.60, 0.34); (5.54, 0.35)\n",
+ "Seck (6.11, 0.34); (6.22, 0.42)\n",
+ "Alvarez A. (5.86, 0.43); (6.14, 0.66)\n",
+ "Cuni (5.97, 0.32); (5.98, 0.35)\n",
+ "Ekuban (5.83, 0.35); (5.95, 0.41)\n",
+ "Maric (5.95, 0.34); (5.98, 0.40)\n",
+ "Cruz (5.88, 0.47); (6.00, 0.62)\n",
+ "Destro (5.62, 0.46); (5.66, 0.53)\n",
+ "Van Hooijdonk (5.94, 0.40); (6.06, 0.55)\n",
+ "Ceide (5.72, 0.40); (5.80, 0.44)\n",
+ "Kvernadze (5.91, 0.42); (5.97, 0.51)\n",
+ "Ikwuemesi (5.82, 0.40); (5.87, 0.48)\n",
+ "Puscas (5.90, 0.45); (5.94, 0.51)\n",
+ "Ake' M. (5.86, 0.39); (5.88, 0.48)\n",
+ "Braaf (5.64, 0.35); (5.74, 0.41)\n",
+ "Kallon (5.84, 0.41); (6.05, 0.59)\n",
+ "Kaio Jorge (5.92, 0.29); (5.94, 0.30)\n",
+ "Vivaldo (5.81, 0.45); (5.90, 0.59)\n",
+ "Bidaoui (5.93, 0.47); (6.04, 0.61)\n",
+ "Shpendi S. (5.67, 0.43); (5.65, 0.49)\n",
+ "Burnete (5.96, 0.40); (6.05, 0.52)\n",
+ "Corfitzen (5.91, 0.46); (6.03, 0.62)\n",
+ "Stewart (5.86, 0.48); (5.99, 0.64)\n",
+ "Yildiz (6.00, 0.44); (6.14, 0.58)\n"
]
},
{
@@ -7598,28 +7764,6 @@
" \n",
" \n",
" \n",
- " Rossi F. \n",
- " P \n",
- " Atalanta \n",
- " Avg \n",
- " 1 \n",
- " 0 \n",
- " 0 \n",
- " 6.135997 \n",
- " 0.461613 \n",
- " 5.714022 \n",
- " 0.660724 \n",
- " 6.048627 \n",
- " 0.519124 \n",
- " 0.124012 \n",
- " 1.029053 \n",
- " 6.517968 \n",
- " 0.605796 \n",
- " -0.846135 \n",
- " 1.143799 \n",
- " 54.688394 \n",
- " \n",
- " \n",
" Musso \n",
" P \n",
" Atalanta \n",
@@ -7627,19 +7771,19 @@
" 1 \n",
" 1 \n",
" 100 \n",
- " 6.143759 \n",
- " 0.456892 \n",
- " 5.663907 \n",
- " 0.658830 \n",
- " 6.074820 \n",
- " 0.520088 \n",
- " 0.097725 \n",
- " 1.026161 \n",
- " 6.444280 \n",
- " 0.633181 \n",
- " -0.799317 \n",
- " 1.137828 \n",
- " 45.054388 \n",
+ " 6.171178 \n",
+ " 0.427645 \n",
+ " 5.716592 \n",
+ " 0.632592 \n",
+ " 6.120677 \n",
+ " 0.493384 \n",
+ " 0.075656 \n",
+ " 1.078080 \n",
+ " 6.470728 \n",
+ " 0.603981 \n",
+ " -0.807733 \n",
+ " 1.135469 \n",
+ " 58.570200 \n",
" \n",
" \n",
" Carnesecchi \n",
@@ -7649,19 +7793,41 @@
" 1 \n",
" 0 \n",
" 0 \n",
- " 6.171613 \n",
- " 0.448379 \n",
- " 5.270031 \n",
- " 0.694458 \n",
- " 6.124808 \n",
- " 0.517080 \n",
- " 0.066629 \n",
- " 1.021485 \n",
- " 5.670223 \n",
- " 0.973802 \n",
- " -0.307640 \n",
- " 1.065162 \n",
- " 30.680643 \n",
+ " 5.869667 \n",
+ " 0.502827 \n",
+ " 3.425929 \n",
+ " 1.371020 \n",
+ " 6.030291 \n",
+ " 0.638892 \n",
+ " -0.184642 \n",
+ " 1.097941 \n",
+ " 4.448452 \n",
+ " 1.535484 \n",
+ " -0.582005 \n",
+ " 0.860812 \n",
+ " 1.164914 \n",
+ " \n",
+ " \n",
+ " Rossi F. \n",
+ " P \n",
+ " Atalanta \n",
+ " Avg \n",
+ " 1 \n",
+ " 0 \n",
+ " 0 \n",
+ " 5.960478 \n",
+ " 0.501686 \n",
+ " 3.407276 \n",
+ " 1.365965 \n",
+ " 5.941229 \n",
+ " 0.593570 \n",
+ " 0.024161 \n",
+ " 1.093842 \n",
+ " 4.423328 \n",
+ " 1.528818 \n",
+ " -0.581675 \n",
+ " 0.862571 \n",
+ " 1.128720 \n",
" \n",
" \n",
" Zappacosta \n",
@@ -7671,40 +7837,40 @@
" 1 \n",
" 1 \n",
" 100 \n",
- " 6.164220 \n",
- " 0.536976 \n",
- " 6.543927 \n",
- " 0.876288 \n",
- " 6.096765 \n",
- " 0.610885 \n",
- " 0.081141 \n",
- " 0.849494 \n",
- " 5.867186 \n",
- " 1.148170 \n",
- " 0.417483 \n",
- " 1.299464 \n",
+ " 6.098510 \n",
+ " 0.555344 \n",
+ " 6.568691 \n",
+ " 0.979324 \n",
+ " 5.952041 \n",
+ " 0.611557 \n",
+ " 0.174813 \n",
+ " 0.810975 \n",
+ " 5.694494 \n",
+ " 1.174959 \n",
+ " 0.514689 \n",
+ " 1.299705 \n",
" 0.000000 \n",
" \n",
" \n",
- " Zortea \n",
+ " Ruggeri \n",
" D \n",
" Atalanta \n",
" Avg \n",
" 1 \n",
- " 0 \n",
- " 66 \n",
- " 6.127283 \n",
- " 0.439518 \n",
- " 6.378233 \n",
- " 0.647546 \n",
- " 6.074436 \n",
- " 0.502348 \n",
- " 0.077442 \n",
- " 0.919646 \n",
- " 5.907557 \n",
- " 0.872174 \n",
- " 0.385011 \n",
- " 1.299393 \n",
+ " 1 \n",
+ " 100 \n",
+ " 6.087699 \n",
+ " 0.554154 \n",
+ " 6.456921 \n",
+ " 0.876787 \n",
+ " 6.054248 \n",
+ " 0.637605 \n",
+ " 0.038587 \n",
+ " 0.828000 \n",
+ " 5.812500 \n",
+ " 1.175351 \n",
+ " 0.391089 \n",
+ " 1.299670 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -7730,28 +7896,6 @@
" ... \n",
" \n",
" \n",
- " Bonazzoli \n",
- " A \n",
- " Verona \n",
- " Avg \n",
- " 1 \n",
- " 0 \n",
- " 100 \n",
- " 6.072518 \n",
- " 0.526842 \n",
- " 6.502965 \n",
- " 0.886756 \n",
- " 5.816470 \n",
- " 0.540459 \n",
- " 0.343905 \n",
- " 0.844684 \n",
- " 5.592752 \n",
- " 0.931571 \n",
- " 0.648695 \n",
- " 1.299513 \n",
- " 0.000000 \n",
- " \n",
- " \n",
" Henry \n",
" A \n",
" Verona \n",
@@ -7759,18 +7903,18 @@
" 1 \n",
" 0 \n",
" 0 \n",
- " 5.904871 \n",
- " 0.547199 \n",
- " 6.312075 \n",
- " 0.840993 \n",
- " 5.585084 \n",
- " 0.541561 \n",
- " 0.424691 \n",
- " 0.833344 \n",
- " 5.439171 \n",
- " 0.871586 \n",
- " 0.660970 \n",
- " 1.299495 \n",
+ " 5.855402 \n",
+ " 0.505158 \n",
+ " 6.219285 \n",
+ " 0.793892 \n",
+ " 5.594287 \n",
+ " 0.513562 \n",
+ " 0.367600 \n",
+ " 0.835252 \n",
+ " 5.435407 \n",
+ " 0.871782 \n",
+ " 0.604878 \n",
+ " 1.299692 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -7781,18 +7925,18 @@
" 1 \n",
" 0 \n",
" 100 \n",
- " 6.009929 \n",
- " 0.374071 \n",
- " 6.164560 \n",
- " 0.494678 \n",
- " 5.926849 \n",
- " 0.415523 \n",
- " 0.147962 \n",
- " 0.975165 \n",
- " 5.780578 \n",
- " 0.645541 \n",
- " 0.421290 \n",
- " 1.299341 \n",
+ " 5.948880 \n",
+ " 0.348636 \n",
+ " 6.099661 \n",
+ " 0.472785 \n",
+ " 5.886502 \n",
+ " 0.392925 \n",
+ " 0.117059 \n",
+ " 0.988531 \n",
+ " 5.772749 \n",
+ " 0.649155 \n",
+ " 0.361159 \n",
+ " 1.299597 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -7803,18 +7947,40 @@
" 1 \n",
" 0 \n",
" 0 \n",
- " 5.888568 \n",
- " 0.441270 \n",
- " 6.152357 \n",
- " 0.645718 \n",
- " 5.679896 \n",
- " 0.448357 \n",
- " 0.337417 \n",
- " 0.919836 \n",
- " 5.527265 \n",
- " 0.723476 \n",
- " 0.585107 \n",
- " 1.299425 \n",
+ " 5.837097 \n",
+ " 0.413428 \n",
+ " 6.047479 \n",
+ " 0.594338 \n",
+ " 5.662558 \n",
+ " 0.429064 \n",
+ " 0.295895 \n",
+ " 0.922908 \n",
+ " 5.502729 \n",
+ " 0.699002 \n",
+ " 0.535697 \n",
+ " 1.299641 \n",
+ " 0.000000 \n",
+ " \n",
+ " \n",
+ " Cruz \n",
+ " A \n",
+ " Verona \n",
+ " Avg \n",
+ " 1 \n",
+ " 0 \n",
+ " 0 \n",
+ " 5.879865 \n",
+ " 0.465164 \n",
+ " 6.001499 \n",
+ " 0.617923 \n",
+ " 5.876376 \n",
+ " 0.544286 \n",
+ " 0.004557 \n",
+ " 0.915138 \n",
+ " 5.675189 \n",
+ " 0.915135 \n",
+ " 0.260538 \n",
+ " 1.299582 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -7825,86 +7991,86 @@
" 1 \n",
" 0 \n",
" 0 \n",
- " 5.634034 \n",
- " 0.373243 \n",
- " 5.780195 \n",
- " 0.453907 \n",
- " 5.472137 \n",
- " 0.381481 \n",
- " 0.308377 \n",
- " 0.982415 \n",
- " 5.418116 \n",
- " 0.585017 \n",
- " 0.436805 \n",
- " 1.299298 \n",
+ " 5.644437 \n",
+ " 0.345748 \n",
+ " 5.742957 \n",
+ " 0.413469 \n",
+ " 5.520224 \n",
+ " 0.365075 \n",
+ " 0.248614 \n",
+ " 0.991181 \n",
+ " 5.455955 \n",
+ " 0.567369 \n",
+ " 0.362917 \n",
+ " 1.299570 \n",
" 0.000000 \n",
" \n",
" \n",
"\n",
- "535 rows × 19 columns
\n",
+ "539 rows × 19 columns
\n",
""
],
"text/plain": [
" role team oppteam home starter vote% MV MV std \\\n",
"player \n",
- "Rossi F. P Atalanta Avg 1 0 0 6.135997 0.461613 \n",
- "Musso P Atalanta Avg 1 1 100 6.143759 0.456892 \n",
- "Carnesecchi P Atalanta Avg 1 0 0 6.171613 0.448379 \n",
- "Zappacosta D Atalanta Avg 1 1 100 6.164220 0.536976 \n",
- "Zortea D Atalanta Avg 1 0 66 6.127283 0.439518 \n",
+ "Musso P Atalanta Avg 1 1 100 6.171178 0.427645 \n",
+ "Carnesecchi P Atalanta Avg 1 0 0 5.869667 0.502827 \n",
+ "Rossi F. P Atalanta Avg 1 0 0 5.960478 0.501686 \n",
+ "Zappacosta D Atalanta Avg 1 1 100 6.098510 0.555344 \n",
+ "Ruggeri D Atalanta Avg 1 1 100 6.087699 0.554154 \n",
"... ... ... ... ... ... ... ... ... \n",
- "Bonazzoli A Verona Avg 1 0 100 6.072518 0.526842 \n",
- "Henry A Verona Avg 1 0 0 5.904871 0.547199 \n",
- "Djuric A Verona Avg 1 0 100 6.009929 0.374071 \n",
- "Kallon A Verona Avg 1 0 0 5.888568 0.441270 \n",
- "Braaf A Verona Avg 1 0 0 5.634034 0.373243 \n",
+ "Henry A Verona Avg 1 0 0 5.855402 0.505158 \n",
+ "Djuric A Verona Avg 1 0 100 5.948880 0.348636 \n",
+ "Kallon A Verona Avg 1 0 0 5.837097 0.413428 \n",
+ "Cruz A Verona Avg 1 0 0 5.879865 0.465164 \n",
+ "Braaf A Verona Avg 1 0 0 5.644437 0.345748 \n",
"\n",
" FV FV std MV loc MV scale MV skewness \\\n",
"player \n",
- "Rossi F. 5.714022 0.660724 6.048627 0.519124 0.124012 \n",
- "Musso 5.663907 0.658830 6.074820 0.520088 0.097725 \n",
- "Carnesecchi 5.270031 0.694458 6.124808 0.517080 0.066629 \n",
- "Zappacosta 6.543927 0.876288 6.096765 0.610885 0.081141 \n",
- "Zortea 6.378233 0.647546 6.074436 0.502348 0.077442 \n",
+ "Musso 5.716592 0.632592 6.120677 0.493384 0.075656 \n",
+ "Carnesecchi 3.425929 1.371020 6.030291 0.638892 -0.184642 \n",
+ "Rossi F. 3.407276 1.365965 5.941229 0.593570 0.024161 \n",
+ "Zappacosta 6.568691 0.979324 5.952041 0.611557 0.174813 \n",
+ "Ruggeri 6.456921 0.876787 6.054248 0.637605 0.038587 \n",
"... ... ... ... ... ... \n",
- "Bonazzoli 6.502965 0.886756 5.816470 0.540459 0.343905 \n",
- "Henry 6.312075 0.840993 5.585084 0.541561 0.424691 \n",
- "Djuric 6.164560 0.494678 5.926849 0.415523 0.147962 \n",
- "Kallon 6.152357 0.645718 5.679896 0.448357 0.337417 \n",
- "Braaf 5.780195 0.453907 5.472137 0.381481 0.308377 \n",
+ "Henry 6.219285 0.793892 5.594287 0.513562 0.367600 \n",
+ "Djuric 6.099661 0.472785 5.886502 0.392925 0.117059 \n",
+ "Kallon 6.047479 0.594338 5.662558 0.429064 0.295895 \n",
+ "Cruz 6.001499 0.617923 5.876376 0.544286 0.004557 \n",
+ "Braaf 5.742957 0.413469 5.520224 0.365075 0.248614 \n",
"\n",
" MV tailweight FV loc FV scale FV skewness FV tailweight \\\n",
"player \n",
- "Rossi F. 1.029053 6.517968 0.605796 -0.846135 1.143799 \n",
- "Musso 1.026161 6.444280 0.633181 -0.799317 1.137828 \n",
- "Carnesecchi 1.021485 5.670223 0.973802 -0.307640 1.065162 \n",
- "Zappacosta 0.849494 5.867186 1.148170 0.417483 1.299464 \n",
- "Zortea 0.919646 5.907557 0.872174 0.385011 1.299393 \n",
+ "Musso 1.078080 6.470728 0.603981 -0.807733 1.135469 \n",
+ "Carnesecchi 1.097941 4.448452 1.535484 -0.582005 0.860812 \n",
+ "Rossi F. 1.093842 4.423328 1.528818 -0.581675 0.862571 \n",
+ "Zappacosta 0.810975 5.694494 1.174959 0.514689 1.299705 \n",
+ "Ruggeri 0.828000 5.812500 1.175351 0.391089 1.299670 \n",
"... ... ... ... ... ... \n",
- "Bonazzoli 0.844684 5.592752 0.931571 0.648695 1.299513 \n",
- "Henry 0.833344 5.439171 0.871586 0.660970 1.299495 \n",
- "Djuric 0.975165 5.780578 0.645541 0.421290 1.299341 \n",
- "Kallon 0.919836 5.527265 0.723476 0.585107 1.299425 \n",
- "Braaf 0.982415 5.418116 0.585017 0.436805 1.299298 \n",
+ "Henry 0.835252 5.435407 0.871782 0.604878 1.299692 \n",
+ "Djuric 0.988531 5.772749 0.649155 0.361159 1.299597 \n",
+ "Kallon 0.922908 5.502729 0.699002 0.535697 1.299641 \n",
+ "Cruz 0.915138 5.675189 0.915135 0.260538 1.299582 \n",
+ "Braaf 0.991181 5.455955 0.567369 0.362917 1.299570 \n",
"\n",
" Clean Sheet % \n",
"player \n",
- "Rossi F. 54.688394 \n",
- "Musso 45.054388 \n",
- "Carnesecchi 30.680643 \n",
+ "Musso 58.570200 \n",
+ "Carnesecchi 1.164914 \n",
+ "Rossi F. 1.128720 \n",
"Zappacosta 0.000000 \n",
- "Zortea 0.000000 \n",
+ "Ruggeri 0.000000 \n",
"... ... \n",
- "Bonazzoli 0.000000 \n",
"Henry 0.000000 \n",
"Djuric 0.000000 \n",
"Kallon 0.000000 \n",
+ "Cruz 0.000000 \n",
"Braaf 0.000000 \n",
"\n",
- "[535 rows x 19 columns]"
+ "[539 rows x 19 columns]"
]
},
- "execution_count": 78,
+ "execution_count": 45,
"metadata": {},
"output_type": "execute_result"
}
@@ -7995,7 +8161,7 @@
},
{
"cell_type": "code",
- "execution_count": 79,
+ "execution_count": 46,
"id": "b47cbd63",
"metadata": {},
"outputs": [],
diff --git a/1_scraping_fbref.ipynb b/1_scraping_fbref.ipynb
index 346a548..7b85157 100644
--- a/1_scraping_fbref.ipynb
+++ b/1_scraping_fbref.ipynb
@@ -34,7 +34,7 @@
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 2,
"id": "ab920c85",
"metadata": {},
"outputs": [],
@@ -283,83 +283,107 @@
" \n",
" \n",
" 0 \n",
+ " Francesco Acerbi \n",
+ " it ITA \n",
+ " DF \n",
+ " Inter \n",
+ " 35-223 \n",
+ " 1988 \n",
+ " 1.0 \n",
+ " 1.0 \n",
+ " 90.0 \n",
+ " 0.0 \n",
+ " ... \n",
+ " 2.0 \n",
+ " 1.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 4.0 \n",
+ " 3.0 \n",
+ " 0.0 \n",
+ " 100.0 \n",
+ " \n",
+ " \n",
+ " 1 \n",
" Michel Aebischer \n",
" ch SUI \n",
" MF \n",
" Bologna \n",
- " 26-246 \n",
+ " 26-258 \n",
" 1997 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 257.0 \n",
- " 0.0 \n",
- " ... \n",
" 4.0 \n",
- " 3.0 \n",
+ " 4.0 \n",
+ " 347.0 \n",
" 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 19.0 \n",
- " 2.0 \n",
- " 1.0 \n",
- " 66.7 \n",
- " \n",
- " \n",
- " 1 \n",
- " Luis Alberto \n",
- " es ESP \n",
- " MF \n",
- " Lazio \n",
- " 30-346 \n",
- " 1992 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
- " 1.0 \n",
" ... \n",
- " 2.0 \n",
- " 3.0 \n",
+ " 7.0 \n",
+ " 5.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 18.0 \n",
+ " 23.0 \n",
" 2.0 \n",
" 3.0 \n",
" 40.0 \n",
" \n",
" \n",
" 2 \n",
+ " Luis Alberto \n",
+ " es ESP \n",
+ " MF \n",
+ " Lazio \n",
+ " 30-358 \n",
+ " 1992 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 360.0 \n",
+ " 2.0 \n",
+ " ... \n",
+ " 3.0 \n",
+ " 5.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 24.0 \n",
+ " 2.0 \n",
+ " 4.0 \n",
+ " 33.3 \n",
+ " \n",
+ " \n",
+ " 3 \n",
" Pontus Almqvist \n",
" se SWE \n",
" FW \n",
" Lecce \n",
- " 24-061 \n",
+ " 24-073 \n",
" 1999 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 347.0 \n",
" 1.0 \n",
" ... \n",
- " 2.0 \n",
" 3.0 \n",
+ " 8.0 \n",
+ " 1.0 \n",
" 1.0 \n",
" 0.0 \n",
" 0.0 \n",
+ " 15.0 \n",
" 0.0 \n",
- " 10.0 \n",
- " 0.0 \n",
- " 2.0 \n",
+ " 3.0 \n",
" 0.0 \n",
" \n",
" \n",
- " 3 \n",
+ " 4 \n",
" Lorenzo Amatucci \n",
" it ITA \n",
" MF \n",
" Fiorentina \n",
- " 19-216 \n",
+ " 19-228 \n",
" 2004 \n",
" 1.0 \n",
" 0.0 \n",
@@ -378,30 +402,6 @@
" 0.0 \n",
" \n",
" \n",
- " 4 \n",
- " Bruno Amione \n",
- " ar ARG \n",
- " MF \n",
- " Hellas Verona \n",
- " 21-249 \n",
- " 2002 \n",
- " 1.0 \n",
- " 0.0 \n",
- " 2.0 \n",
- " 0.0 \n",
- " ... \n",
- " 1.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " \n",
- " \n",
" ... \n",
" ... \n",
" ... \n",
@@ -426,67 +426,67 @@
" ... \n",
" \n",
" \n",
- " 394 \n",
+ " 424 \n",
" Joshua Zirkzee \n",
" nl NED \n",
" FW \n",
" Bologna \n",
- " 22-110 \n",
+ " 22-122 \n",
" 2001 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 266.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 356.0 \n",
" 1.0 \n",
" ... \n",
- " 2.0 \n",
- " 0.0 \n",
+ " 3.0 \n",
+ " 1.0 \n",
" 1.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 10.0 \n",
- " 6.0 \n",
+ " 11.0 \n",
+ " 9.0 \n",
" 2.0 \n",
- " 75.0 \n",
+ " 81.8 \n",
" \n",
" \n",
- " 395 \n",
+ " 425 \n",
" Zito \n",
" ao ANG \n",
" FW \n",
" Cagliari \n",
- " 21-184 \n",
+ " 21-196 \n",
" 2002 \n",
+ " 4.0 \n",
" 3.0 \n",
- " 2.0 \n",
- " 207.0 \n",
+ " 297.0 \n",
" 1.0 \n",
" ... \n",
- " 2.0 \n",
+ " 3.0 \n",
+ " 8.0 \n",
+ " 5.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
" 6.0 \n",
- " 2.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 4.0 \n",
" 1.0 \n",
- " 4.0 \n",
- " 20.0 \n",
+ " 5.0 \n",
+ " 16.7 \n",
" \n",
" \n",
- " 396 \n",
+ " 426 \n",
" Nadir Zortea \n",
" it ITA \n",
" DF \n",
" Atalanta \n",
- " 24-082 \n",
+ " 24-094 \n",
" 1999 \n",
- " 2.0 \n",
+ " 3.0 \n",
" 0.0 \n",
- " 64.0 \n",
+ " 96.0 \n",
" 1.0 \n",
" ... \n",
- " 1.0 \n",
+ " 3.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
@@ -498,112 +498,112 @@
" 0.0 \n",
" \n",
" \n",
- " 397 \n",
+ " 427 \n",
" Milan Đurić \n",
" ba BIH \n",
" FW,MF \n",
" Hellas Verona \n",
- " 33-110 \n",
+ " 33-122 \n",
" 1990 \n",
- " 3.0 \n",
+ " 4.0 \n",
" 1.0 \n",
- " 123.0 \n",
+ " 152.0 \n",
" 0.0 \n",
" ... \n",
- " 6.0 \n",
- " 1.0 \n",
+ " 7.0 \n",
" 1.0 \n",
+ " 2.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
" 4.0 \n",
- " 16.0 \n",
- " 10.0 \n",
- " 61.5 \n",
+ " 21.0 \n",
+ " 14.0 \n",
+ " 60.0 \n",
" \n",
" \n",
- " 398 \n",
+ " 428 \n",
" Mateusz Łęgowski \n",
" pl POL \n",
- " MF,DF \n",
+ " MF \n",
" Salernitana \n",
- " 20-223 \n",
+ " 20-235 \n",
" 2003 \n",
- " 3.0 \n",
- " 1.0 \n",
- " 95.0 \n",
+ " 4.0 \n",
+ " 2.0 \n",
+ " 161.0 \n",
" 0.0 \n",
" ... \n",
" 3.0 \n",
- " 2.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 10.0 \n",
- " 2.0 \n",
" 3.0 \n",
- " 40.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 14.0 \n",
+ " 4.0 \n",
+ " 5.0 \n",
+ " 44.4 \n",
" \n",
" \n",
"\n",
- "399 rows × 115 columns
\n",
+ "429 rows × 115 columns
\n",
""
],
"text/plain": [
" player nationality position team age birth_year \\\n",
- "0 Michel Aebischer ch SUI MF Bologna 26-246 1997 \n",
- "1 Luis Alberto es ESP MF Lazio 30-346 1992 \n",
- "2 Pontus Almqvist se SWE FW Lecce 24-061 1999 \n",
- "3 Lorenzo Amatucci it ITA MF Fiorentina 19-216 2004 \n",
- "4 Bruno Amione ar ARG MF Hellas Verona 21-249 2002 \n",
+ "0 Francesco Acerbi it ITA DF Inter 35-223 1988 \n",
+ "1 Michel Aebischer ch SUI MF Bologna 26-258 1997 \n",
+ "2 Luis Alberto es ESP MF Lazio 30-358 1992 \n",
+ "3 Pontus Almqvist se SWE FW Lecce 24-073 1999 \n",
+ "4 Lorenzo Amatucci it ITA MF Fiorentina 19-228 2004 \n",
".. ... ... ... ... ... ... \n",
- "394 Joshua Zirkzee nl NED FW Bologna 22-110 2001 \n",
- "395 Zito ao ANG FW Cagliari 21-184 2002 \n",
- "396 Nadir Zortea it ITA DF Atalanta 24-082 1999 \n",
- "397 Milan Đurić ba BIH FW,MF Hellas Verona 33-110 1990 \n",
- "398 Mateusz Łęgowski pl POL MF,DF Salernitana 20-223 2003 \n",
+ "424 Joshua Zirkzee nl NED FW Bologna 22-122 2001 \n",
+ "425 Zito ao ANG FW Cagliari 21-196 2002 \n",
+ "426 Nadir Zortea it ITA DF Atalanta 24-094 1999 \n",
+ "427 Milan Đurić ba BIH FW,MF Hellas Verona 33-122 1990 \n",
+ "428 Mateusz Łęgowski pl POL MF Salernitana 20-235 2003 \n",
"\n",
" games games_starts minutes goals ... fouls fouled offsides \\\n",
- "0 3.0 3.0 257.0 0.0 ... 4.0 3.0 0.0 \n",
- "1 3.0 3.0 270.0 1.0 ... 2.0 3.0 0.0 \n",
- "2 3.0 3.0 270.0 1.0 ... 2.0 3.0 1.0 \n",
- "3 1.0 0.0 16.0 0.0 ... 1.0 0.0 0.0 \n",
- "4 1.0 0.0 2.0 0.0 ... 1.0 0.0 0.0 \n",
+ "0 1.0 1.0 90.0 0.0 ... 2.0 1.0 0.0 \n",
+ "1 4.0 4.0 347.0 0.0 ... 7.0 5.0 0.0 \n",
+ "2 4.0 4.0 360.0 2.0 ... 3.0 5.0 0.0 \n",
+ "3 4.0 4.0 347.0 1.0 ... 3.0 8.0 1.0 \n",
+ "4 1.0 0.0 16.0 0.0 ... 1.0 0.0 0.0 \n",
".. ... ... ... ... ... ... ... ... \n",
- "394 3.0 3.0 266.0 1.0 ... 2.0 0.0 1.0 \n",
- "395 3.0 2.0 207.0 1.0 ... 2.0 6.0 2.0 \n",
- "396 2.0 0.0 64.0 1.0 ... 1.0 0.0 0.0 \n",
- "397 3.0 1.0 123.0 0.0 ... 6.0 1.0 1.0 \n",
- "398 3.0 1.0 95.0 0.0 ... 3.0 2.0 0.0 \n",
+ "424 4.0 4.0 356.0 1.0 ... 3.0 1.0 1.0 \n",
+ "425 4.0 3.0 297.0 1.0 ... 3.0 8.0 5.0 \n",
+ "426 3.0 0.0 96.0 1.0 ... 3.0 0.0 0.0 \n",
+ "427 4.0 1.0 152.0 0.0 ... 7.0 1.0 2.0 \n",
+ "428 4.0 2.0 161.0 0.0 ... 3.0 3.0 0.0 \n",
"\n",
" pens_won pens_conceded own_goals ball_recoveries aerials_won \\\n",
- "0 0.0 0.0 0.0 19.0 2.0 \n",
- "1 0.0 0.0 0.0 18.0 2.0 \n",
- "2 0.0 0.0 0.0 10.0 0.0 \n",
- "3 0.0 0.0 0.0 1.0 0.0 \n",
- "4 0.0 0.0 0.0 0.0 0.0 \n",
+ "0 0.0 0.0 0.0 4.0 3.0 \n",
+ "1 0.0 0.0 0.0 23.0 2.0 \n",
+ "2 0.0 0.0 0.0 24.0 2.0 \n",
+ "3 1.0 0.0 0.0 15.0 0.0 \n",
+ "4 0.0 0.0 0.0 1.0 0.0 \n",
".. ... ... ... ... ... \n",
- "394 0.0 0.0 0.0 10.0 6.0 \n",
- "395 0.0 0.0 0.0 4.0 1.0 \n",
- "396 0.0 0.0 0.0 4.0 0.0 \n",
- "397 0.0 0.0 0.0 4.0 16.0 \n",
- "398 0.0 0.0 0.0 10.0 2.0 \n",
+ "424 0.0 0.0 0.0 11.0 9.0 \n",
+ "425 0.0 0.0 0.0 6.0 1.0 \n",
+ "426 0.0 0.0 0.0 4.0 0.0 \n",
+ "427 0.0 0.0 0.0 4.0 21.0 \n",
+ "428 0.0 0.0 0.0 14.0 4.0 \n",
"\n",
" aerials_lost aerials_won_pct \n",
- "0 1.0 66.7 \n",
+ "0 0.0 100.0 \n",
"1 3.0 40.0 \n",
- "2 2.0 0.0 \n",
- "3 1.0 0.0 \n",
- "4 0.0 0.0 \n",
+ "2 4.0 33.3 \n",
+ "3 3.0 0.0 \n",
+ "4 1.0 0.0 \n",
".. ... ... \n",
- "394 2.0 75.0 \n",
- "395 4.0 20.0 \n",
- "396 1.0 0.0 \n",
- "397 10.0 61.5 \n",
- "398 3.0 40.0 \n",
+ "424 2.0 81.8 \n",
+ "425 5.0 16.7 \n",
+ "426 1.0 0.0 \n",
+ "427 14.0 60.0 \n",
+ "428 5.0 44.4 \n",
"\n",
- "[399 rows x 115 columns]"
+ "[429 rows x 115 columns]"
]
},
"execution_count": 3,
@@ -676,23 +676,23 @@
" al ALB \n",
" GK \n",
" Empoli \n",
- " 34-183 \n",
+ " 34-195 \n",
" 1989 \n",
- " 1.0 \n",
- " 1.0 \n",
- " 90.0 \n",
" 2.0 \n",
+ " 2.0 \n",
+ " 180.0 \n",
+ " 9.0 \n",
" ... \n",
- " 29.7 \n",
- " 7.0 \n",
- " 28.6 \n",
- " 28.0 \n",
- " 17.0 \n",
- " 0.0 \n",
- " 0.0 \n",
+ " 27.5 \n",
+ " 9.0 \n",
+ " 22.2 \n",
+ " 27.0 \n",
+ " 23.0 \n",
+ " 1.0 \n",
+ " 4.3 \n",
" 2.0 \n",
- " 2.00 \n",
- " 16.6 \n",
+ " 1.00 \n",
+ " 15.7 \n",
" \n",
" \n",
" 1 \n",
@@ -700,7 +700,7 @@
" it ITA \n",
" GK \n",
" Empoli \n",
- " 22-015 \n",
+ " 22-027 \n",
" 2001 \n",
" 1.0 \n",
" 1.0 \n",
@@ -720,11 +720,35 @@
" \n",
" \n",
" 2 \n",
+ " Marco Carnesecchi \n",
+ " it ITA \n",
+ " GK \n",
+ " Atalanta \n",
+ " 23-082 \n",
+ " 2000 \n",
+ " 1.0 \n",
+ " 1.0 \n",
+ " 90.0 \n",
+ " 3.0 \n",
+ " ... \n",
+ " 36.8 \n",
+ " 6.0 \n",
+ " 83.3 \n",
+ " 69.2 \n",
+ " 13.0 \n",
+ " 1.0 \n",
+ " 7.7 \n",
+ " 0.0 \n",
+ " 0.00 \n",
+ " 14.5 \n",
+ " \n",
+ " \n",
+ " 3 \n",
" Michele Cerofolini \n",
" it ITA \n",
" GK \n",
" Frosinone \n",
- " 24-248 \n",
+ " 24-260 \n",
" 1999 \n",
" 1.0 \n",
" 1.0 \n",
@@ -743,12 +767,12 @@
" 0.0 \n",
" \n",
" \n",
- " 3 \n",
+ " 4 \n",
" Oliver Christensen \n",
" dk DEN \n",
" GK \n",
" Fiorentina \n",
- " 24-171 \n",
+ " 24-183 \n",
" 1999 \n",
" 2.0 \n",
" 2.0 \n",
@@ -767,12 +791,12 @@
" 22.0 \n",
" \n",
" \n",
- " 4 \n",
+ " 5 \n",
" Andrea Consigli \n",
" it ITA \n",
" GK \n",
" Sassuolo \n",
- " 36-225 \n",
+ " 36-237 \n",
" 1987 \n",
" 3.0 \n",
" 3.0 \n",
@@ -791,12 +815,36 @@
" 14.5 \n",
" \n",
" \n",
- " 5 \n",
+ " 6 \n",
+ " Alessio Cragno \n",
+ " it ITA \n",
+ " GK \n",
+ " Sassuolo \n",
+ " 29-085 \n",
+ " 1994 \n",
+ " 1.0 \n",
+ " 1.0 \n",
+ " 90.0 \n",
+ " 4.0 \n",
+ " ... \n",
+ " 37.1 \n",
+ " 9.0 \n",
+ " 33.3 \n",
+ " 34.6 \n",
+ " 9.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 7.0 \n",
+ " 7.00 \n",
+ " 28.9 \n",
+ " \n",
+ " \n",
+ " 7 \n",
" Michele Di Gregorio \n",
" it ITA \n",
" GK \n",
" Monza \n",
- " 26-044 \n",
+ " 26-056 \n",
" 1997 \n",
" 3.0 \n",
" 3.0 \n",
@@ -815,156 +863,156 @@
" 11.7 \n",
" \n",
" \n",
- " 6 \n",
+ " 8 \n",
" Wladimiro Falcone \n",
" it ITA \n",
" GK \n",
" Lecce \n",
- " 28-150 \n",
+ " 28-162 \n",
" 1995 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
- " 3.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 360.0 \n",
+ " 4.0 \n",
" ... \n",
- " 35.0 \n",
- " 24.0 \n",
- " 62.5 \n",
- " 42.3 \n",
- " 32.0 \n",
+ " 31.0 \n",
+ " 42.0 \n",
+ " 52.4 \n",
+ " 38.7 \n",
+ " 54.0 \n",
" 2.0 \n",
- " 6.3 \n",
- " 1.0 \n",
- " 0.33 \n",
- " 9.0 \n",
+ " 3.7 \n",
+ " 2.0 \n",
+ " 0.50 \n",
+ " 10.3 \n",
" \n",
" \n",
- " 7 \n",
+ " 9 \n",
" Mike Maignan \n",
" fr FRA \n",
" GK \n",
" Milan \n",
- " 28-068 \n",
+ " 28-080 \n",
" 1995 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
- " 2.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 360.0 \n",
+ " 7.0 \n",
" ... \n",
- " 30.5 \n",
- " 20.0 \n",
- " 65.0 \n",
- " 49.3 \n",
- " 43.0 \n",
+ " 29.2 \n",
+ " 23.0 \n",
+ " 60.9 \n",
+ " 47.0 \n",
+ " 52.0 \n",
" 12.0 \n",
- " 27.9 \n",
+ " 23.1 \n",
" 3.0 \n",
- " 1.00 \n",
- " 10.3 \n",
+ " 0.75 \n",
+ " 9.8 \n",
" \n",
" \n",
- " 8 \n",
+ " 10 \n",
" Josep Martinez \n",
" es ESP \n",
" GK \n",
" Genoa \n",
- " 25-105 \n",
+ " 25-117 \n",
" 1998 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
- " 5.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 360.0 \n",
+ " 7.0 \n",
" ... \n",
- " 40.1 \n",
- " 14.0 \n",
- " 92.9 \n",
- " 62.2 \n",
- " 64.0 \n",
+ " 39.7 \n",
+ " 22.0 \n",
+ " 95.5 \n",
+ " 62.5 \n",
+ " 75.0 \n",
" 8.0 \n",
- " 12.5 \n",
+ " 10.7 \n",
" 2.0 \n",
- " 0.67 \n",
- " 9.7 \n",
+ " 0.50 \n",
+ " 9.3 \n",
" \n",
" \n",
- " 9 \n",
+ " 11 \n",
" Alex Meret \n",
" it ITA \n",
" GK \n",
" Napoli \n",
- " 26-171 \n",
+ " 26-183 \n",
" 1997 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
- " 3.0 \n",
- " ... \n",
- " 24.4 \n",
- " 8.0 \n",
- " 0.0 \n",
- " 21.4 \n",
- " 15.0 \n",
- " 1.0 \n",
- " 6.7 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 360.0 \n",
" 5.0 \n",
- " 1.67 \n",
- " 18.1 \n",
+ " ... \n",
+ " 24.7 \n",
+ " 11.0 \n",
+ " 0.0 \n",
+ " 20.4 \n",
+ " 27.0 \n",
+ " 1.0 \n",
+ " 3.7 \n",
+ " 7.0 \n",
+ " 1.75 \n",
+ " 18.2 \n",
" \n",
" \n",
- " 10 \n",
+ " 12 \n",
" Vanja Milinković-Savić \n",
" rs SRB \n",
" GK \n",
" Torino \n",
- " 26-201 \n",
+ " 26-213 \n",
" 1997 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 360.0 \n",
" 4.0 \n",
" ... \n",
- " 34.1 \n",
- " 29.0 \n",
- " 69.0 \n",
- " 58.9 \n",
- " 23.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 1.0 \n",
- " 0.33 \n",
- " 14.2 \n",
+ " 38.1 \n",
+ " 36.0 \n",
+ " 75.0 \n",
+ " 61.3 \n",
+ " 33.0 \n",
+ " 3.0 \n",
+ " 9.1 \n",
+ " 5.0 \n",
+ " 1.25 \n",
+ " 15.8 \n",
" \n",
" \n",
- " 11 \n",
+ " 13 \n",
" Lorenzo Montipò \n",
" it ITA \n",
" GK \n",
" Hellas Verona \n",
- " 27-201 \n",
+ " 27-213 \n",
" 1996 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 360.0 \n",
" 4.0 \n",
" ... \n",
- " 43.0 \n",
- " 28.0 \n",
- " 85.7 \n",
- " 61.0 \n",
- " 44.0 \n",
+ " 42.9 \n",
+ " 35.0 \n",
+ " 88.6 \n",
+ " 62.7 \n",
+ " 54.0 \n",
" 1.0 \n",
- " 2.3 \n",
+ " 1.9 \n",
" 8.0 \n",
- " 2.67 \n",
- " 20.9 \n",
+ " 2.00 \n",
+ " 19.4 \n",
" \n",
" \n",
- " 12 \n",
+ " 14 \n",
" Juan Musso \n",
" ar ARG \n",
" GK \n",
" Atalanta \n",
- " 29-126 \n",
+ " 29-138 \n",
" 1994 \n",
" 3.0 \n",
" 3.0 \n",
@@ -983,60 +1031,60 @@
" 22.0 \n",
" \n",
" \n",
- " 13 \n",
+ " 15 \n",
" Guillermo Ochoa \n",
" mx MEX \n",
" GK \n",
" Salernitana \n",
- " 38-058 \n",
+ " 38-070 \n",
" 1985 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
- " 5.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 360.0 \n",
+ " 8.0 \n",
" ... \n",
- " 38.7 \n",
- " 31.0 \n",
- " 61.3 \n",
- " 46.3 \n",
- " 51.0 \n",
- " 3.0 \n",
- " 5.9 \n",
+ " 35.9 \n",
+ " 35.0 \n",
+ " 54.3 \n",
+ " 43.6 \n",
+ " 63.0 \n",
+ " 4.0 \n",
+ " 6.3 \n",
" 1.0 \n",
- " 0.33 \n",
- " 8.3 \n",
+ " 0.25 \n",
+ " 7.8 \n",
" \n",
" \n",
- " 14 \n",
+ " 16 \n",
" Rui Patrício \n",
" pt POR \n",
" GK \n",
" Roma \n",
- " 35-206 \n",
+ " 35-218 \n",
" 1988 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 360.0 \n",
" 6.0 \n",
" ... \n",
- " 29.7 \n",
- " 12.0 \n",
- " 16.7 \n",
- " 24.5 \n",
- " 15.0 \n",
- " 0.0 \n",
- " 0.0 \n",
+ " 29.3 \n",
+ " 17.0 \n",
+ " 11.8 \n",
+ " 22.1 \n",
+ " 34.0 \n",
" 2.0 \n",
- " 0.67 \n",
- " 16.2 \n",
+ " 5.9 \n",
+ " 2.0 \n",
+ " 0.50 \n",
+ " 12.2 \n",
" \n",
" \n",
- " 15 \n",
+ " 17 \n",
" Mattia Perin \n",
" it ITA \n",
" GK \n",
" Juventus \n",
- " 30-303 \n",
+ " 30-315 \n",
" 1992 \n",
" 2.0 \n",
" 2.0 \n",
@@ -1055,12 +1103,12 @@
" 15.0 \n",
" \n",
" \n",
- " 16 \n",
+ " 18 \n",
" Samuele Perisan \n",
" it ITA \n",
" GK \n",
" Empoli \n",
- " 26-019 \n",
+ " 26-031 \n",
" 1997 \n",
" 1.0 \n",
" 1.0 \n",
@@ -1079,366 +1127,408 @@
" 21.0 \n",
" \n",
" \n",
- " 17 \n",
+ " 19 \n",
" Ivan Provedel \n",
" it ITA \n",
" GK \n",
" Lazio \n",
- " 29-176 \n",
+ " 29-188 \n",
" 1994 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
" 4.0 \n",
+ " 4.0 \n",
+ " 360.0 \n",
+ " 7.0 \n",
" ... \n",
- " 26.1 \n",
- " 11.0 \n",
- " 27.3 \n",
- " 31.6 \n",
- " 39.0 \n",
+ " 26.4 \n",
+ " 15.0 \n",
+ " 20.0 \n",
+ " 27.9 \n",
+ " 48.0 \n",
" 2.0 \n",
- " 5.1 \n",
+ " 4.2 \n",
" 6.0 \n",
- " 2.00 \n",
- " 16.3 \n",
+ " 1.50 \n",
+ " 15.7 \n",
" \n",
" \n",
- " 18 \n",
+ " 20 \n",
" Boris Radunović \n",
" rs SRB \n",
" GK \n",
" Cagliari \n",
- " 27-106 \n",
+ " 27-118 \n",
" 1996 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 360.0 \n",
" 4.0 \n",
" ... \n",
- " 39.4 \n",
- " 28.0 \n",
- " 71.4 \n",
- " 52.8 \n",
- " 49.0 \n",
- " 2.0 \n",
- " 4.1 \n",
- " 2.0 \n",
- " 0.67 \n",
- " 11.9 \n",
+ " 37.8 \n",
+ " 40.0 \n",
+ " 65.0 \n",
+ " 50.0 \n",
+ " 62.0 \n",
+ " 4.0 \n",
+ " 6.5 \n",
+ " 3.0 \n",
+ " 0.75 \n",
+ " 12.5 \n",
" \n",
" \n",
- " 19 \n",
+ " 21 \n",
" Marco Silvestri \n",
" it ITA \n",
" GK \n",
" Udinese \n",
- " 32-191 \n",
+ " 32-203 \n",
" 1991 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 360.0 \n",
" 4.0 \n",
" ... \n",
- " 31.4 \n",
- " 21.0 \n",
- " 38.1 \n",
- " 39.5 \n",
- " 33.0 \n",
+ " 29.7 \n",
+ " 32.0 \n",
+ " 31.3 \n",
+ " 35.4 \n",
+ " 49.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 2.0 \n",
- " 0.67 \n",
- " 13.4 \n",
+ " 3.0 \n",
+ " 0.75 \n",
+ " 14.0 \n",
" \n",
" \n",
- " 20 \n",
+ " 22 \n",
" Łukasz Skorupski \n",
" pl POL \n",
" GK \n",
" Bologna \n",
- " 32-127 \n",
+ " 32-139 \n",
" 1991 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 360.0 \n",
" 4.0 \n",
" ... \n",
- " 33.0 \n",
- " 19.0 \n",
- " 36.8 \n",
- " 37.0 \n",
- " 45.0 \n",
+ " 32.1 \n",
+ " 22.0 \n",
+ " 31.8 \n",
+ " 34.2 \n",
+ " 57.0 \n",
" 2.0 \n",
- " 4.4 \n",
+ " 3.5 \n",
" 2.0 \n",
- " 0.67 \n",
- " 11.3 \n",
+ " 0.50 \n",
+ " 11.5 \n",
" \n",
" \n",
- " 21 \n",
+ " 23 \n",
" Yann Sommer \n",
" ch SUI \n",
" GK \n",
" Inter \n",
- " 34-266 \n",
+ " 34-278 \n",
" 1988 \n",
- " 3.0 \n",
- " 3.0 \n",
- " 270.0 \n",
- " 0.0 \n",
- " ... \n",
- " 31.4 \n",
- " 21.0 \n",
- " 23.8 \n",
- " 31.0 \n",
- " 35.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
+ " 360.0 \n",
" 1.0 \n",
- " 2.9 \n",
+ " ... \n",
+ " 30.8 \n",
+ " 29.0 \n",
+ " 20.7 \n",
+ " 28.3 \n",
+ " 41.0 \n",
+ " 2.0 \n",
+ " 4.9 \n",
" 0.0 \n",
" 0.00 \n",
- " 6.8 \n",
+ " 6.5 \n",
" \n",
" \n",
- " 22 \n",
+ " 24 \n",
+ " Alessandro Sorrentino \n",
+ " it ITA \n",
+ " GK \n",
+ " Monza \n",
+ " 21-171 \n",
+ " 2002 \n",
+ " 1.0 \n",
+ " 1.0 \n",
+ " 90.0 \n",
+ " 1.0 \n",
+ " ... \n",
+ " 21.0 \n",
+ " 2.0 \n",
+ " 0.0 \n",
+ " 23.0 \n",
+ " 8.0 \n",
+ " 1.0 \n",
+ " 12.5 \n",
+ " 0.0 \n",
+ " 0.00 \n",
+ " 9.0 \n",
+ " \n",
+ " \n",
+ " 25 \n",
" Wojciech Szczęsny \n",
" pl POL \n",
" GK \n",
" Juventus \n",
- " 33-144 \n",
+ " 33-156 \n",
" 1990 \n",
+ " 2.0 \n",
+ " 2.0 \n",
+ " 180.0 \n",
" 1.0 \n",
- " 1.0 \n",
- " 90.0 \n",
- " 0.0 \n",
" ... \n",
- " 31.6 \n",
- " 3.0 \n",
+ " 33.1 \n",
+ " 6.0 \n",
" 66.7 \n",
- " 53.3 \n",
- " 16.0 \n",
+ " 52.0 \n",
+ " 33.0 \n",
" 1.0 \n",
- " 6.3 \n",
+ " 3.0 \n",
" 0.0 \n",
" 0.00 \n",
- " 10.8 \n",
+ " 9.6 \n",
" \n",
" \n",
- " 23 \n",
+ " 26 \n",
" Pietro Terracciano \n",
" it ITA \n",
" GK \n",
" Fiorentina \n",
- " 33-185 \n",
+ " 33-197 \n",
" 1990 \n",
- " 1.0 \n",
- " 1.0 \n",
- " 90.0 \n",
- " 1.0 \n",
- " ... \n",
- " 30.0 \n",
- " 4.0 \n",
- " 0.0 \n",
- " 23.3 \n",
- " 11.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.00 \n",
- " 13.3 \n",
- " \n",
- " \n",
- " 24 \n",
- " Stefano Turati \n",
- " it ITA \n",
- " GK \n",
- " Frosinone \n",
- " 22-004 \n",
- " 2001 \n",
" 2.0 \n",
" 2.0 \n",
" 180.0 \n",
" 3.0 \n",
" ... \n",
- " 27.1 \n",
- " 10.0 \n",
- " 50.0 \n",
- " 40.7 \n",
+ " 33.1 \n",
+ " 9.0 \n",
+ " 11.1 \n",
" 25.0 \n",
+ " 16.0 \n",
+ " 1.0 \n",
+ " 6.3 \n",
+ " 1.0 \n",
+ " 0.50 \n",
+ " 13.7 \n",
+ " \n",
+ " \n",
+ " 27 \n",
+ " Stefano Turati \n",
+ " it ITA \n",
+ " GK \n",
+ " Frosinone \n",
+ " 22-016 \n",
+ " 2001 \n",
+ " 3.0 \n",
+ " 3.0 \n",
+ " 270.0 \n",
+ " 5.0 \n",
+ " ... \n",
+ " 26.0 \n",
+ " 13.0 \n",
+ " 53.8 \n",
+ " 41.7 \n",
+ " 33.0 \n",
" 2.0 \n",
- " 8.0 \n",
- " 2.0 \n",
+ " 6.1 \n",
+ " 3.0 \n",
" 1.00 \n",
- " 11.8 \n",
+ " 16.3 \n",
" \n",
" \n",
"\n",
- "25 rows × 47 columns
\n",
+ "28 rows × 47 columns
\n",
""
],
"text/plain": [
" player nationality position team age \\\n",
- "0 Etrit Berisha al ALB GK Empoli 34-183 \n",
- "1 Elia Caprile it ITA GK Empoli 22-015 \n",
- "2 Michele Cerofolini it ITA GK Frosinone 24-248 \n",
- "3 Oliver Christensen dk DEN GK Fiorentina 24-171 \n",
- "4 Andrea Consigli it ITA GK Sassuolo 36-225 \n",
- "5 Michele Di Gregorio it ITA GK Monza 26-044 \n",
- "6 Wladimiro Falcone it ITA GK Lecce 28-150 \n",
- "7 Mike Maignan fr FRA GK Milan 28-068 \n",
- "8 Josep Martinez es ESP GK Genoa 25-105 \n",
- "9 Alex Meret it ITA GK Napoli 26-171 \n",
- "10 Vanja Milinković-Savić rs SRB GK Torino 26-201 \n",
- "11 Lorenzo Montipò it ITA GK Hellas Verona 27-201 \n",
- "12 Juan Musso ar ARG GK Atalanta 29-126 \n",
- "13 Guillermo Ochoa mx MEX GK Salernitana 38-058 \n",
- "14 Rui Patrício pt POR GK Roma 35-206 \n",
- "15 Mattia Perin it ITA GK Juventus 30-303 \n",
- "16 Samuele Perisan it ITA GK Empoli 26-019 \n",
- "17 Ivan Provedel it ITA GK Lazio 29-176 \n",
- "18 Boris Radunović rs SRB GK Cagliari 27-106 \n",
- "19 Marco Silvestri it ITA GK Udinese 32-191 \n",
- "20 Łukasz Skorupski pl POL GK Bologna 32-127 \n",
- "21 Yann Sommer ch SUI GK Inter 34-266 \n",
- "22 Wojciech Szczęsny pl POL GK Juventus 33-144 \n",
- "23 Pietro Terracciano it ITA GK Fiorentina 33-185 \n",
- "24 Stefano Turati it ITA GK Frosinone 22-004 \n",
+ "0 Etrit Berisha al ALB GK Empoli 34-195 \n",
+ "1 Elia Caprile it ITA GK Empoli 22-027 \n",
+ "2 Marco Carnesecchi it ITA GK Atalanta 23-082 \n",
+ "3 Michele Cerofolini it ITA GK Frosinone 24-260 \n",
+ "4 Oliver Christensen dk DEN GK Fiorentina 24-183 \n",
+ "5 Andrea Consigli it ITA GK Sassuolo 36-237 \n",
+ "6 Alessio Cragno it ITA GK Sassuolo 29-085 \n",
+ "7 Michele Di Gregorio it ITA GK Monza 26-056 \n",
+ "8 Wladimiro Falcone it ITA GK Lecce 28-162 \n",
+ "9 Mike Maignan fr FRA GK Milan 28-080 \n",
+ "10 Josep Martinez es ESP GK Genoa 25-117 \n",
+ "11 Alex Meret it ITA GK Napoli 26-183 \n",
+ "12 Vanja Milinković-Savić rs SRB GK Torino 26-213 \n",
+ "13 Lorenzo Montipò it ITA GK Hellas Verona 27-213 \n",
+ "14 Juan Musso ar ARG GK Atalanta 29-138 \n",
+ "15 Guillermo Ochoa mx MEX GK Salernitana 38-070 \n",
+ "16 Rui Patrício pt POR GK Roma 35-218 \n",
+ "17 Mattia Perin it ITA GK Juventus 30-315 \n",
+ "18 Samuele Perisan it ITA GK Empoli 26-031 \n",
+ "19 Ivan Provedel it ITA GK Lazio 29-188 \n",
+ "20 Boris Radunović rs SRB GK Cagliari 27-118 \n",
+ "21 Marco Silvestri it ITA GK Udinese 32-203 \n",
+ "22 Łukasz Skorupski pl POL GK Bologna 32-139 \n",
+ "23 Yann Sommer ch SUI GK Inter 34-278 \n",
+ "24 Alessandro Sorrentino it ITA GK Monza 21-171 \n",
+ "25 Wojciech Szczęsny pl POL GK Juventus 33-156 \n",
+ "26 Pietro Terracciano it ITA GK Fiorentina 33-197 \n",
+ "27 Stefano Turati it ITA GK Frosinone 22-016 \n",
"\n",
" birth_year gk_games gk_games_starts gk_minutes gk_goals_against ... \\\n",
- "0 1989 1.0 1.0 90.0 2.0 ... \n",
+ "0 1989 2.0 2.0 180.0 9.0 ... \n",
"1 2001 1.0 1.0 90.0 1.0 ... \n",
- "2 1999 1.0 1.0 90.0 1.0 ... \n",
- "3 1999 2.0 2.0 180.0 6.0 ... \n",
- "4 1987 3.0 3.0 270.0 5.0 ... \n",
- "5 1997 3.0 3.0 270.0 5.0 ... \n",
- "6 1995 3.0 3.0 270.0 3.0 ... \n",
- "7 1995 3.0 3.0 270.0 2.0 ... \n",
- "8 1998 3.0 3.0 270.0 5.0 ... \n",
- "9 1997 3.0 3.0 270.0 3.0 ... \n",
- "10 1997 3.0 3.0 270.0 4.0 ... \n",
- "11 1996 3.0 3.0 270.0 4.0 ... \n",
- "12 1994 3.0 3.0 270.0 2.0 ... \n",
- "13 1985 3.0 3.0 270.0 5.0 ... \n",
- "14 1988 3.0 3.0 270.0 6.0 ... \n",
- "15 1992 2.0 2.0 180.0 1.0 ... \n",
- "16 1997 1.0 1.0 90.0 2.0 ... \n",
- "17 1994 3.0 3.0 270.0 4.0 ... \n",
- "18 1996 3.0 3.0 270.0 4.0 ... \n",
- "19 1991 3.0 3.0 270.0 4.0 ... \n",
- "20 1991 3.0 3.0 270.0 4.0 ... \n",
- "21 1988 3.0 3.0 270.0 0.0 ... \n",
- "22 1990 1.0 1.0 90.0 0.0 ... \n",
- "23 1990 1.0 1.0 90.0 1.0 ... \n",
- "24 2001 2.0 2.0 180.0 3.0 ... \n",
+ "2 2000 1.0 1.0 90.0 3.0 ... \n",
+ "3 1999 1.0 1.0 90.0 1.0 ... \n",
+ "4 1999 2.0 2.0 180.0 6.0 ... \n",
+ "5 1987 3.0 3.0 270.0 5.0 ... \n",
+ "6 1994 1.0 1.0 90.0 4.0 ... \n",
+ "7 1997 3.0 3.0 270.0 5.0 ... \n",
+ "8 1995 4.0 4.0 360.0 4.0 ... \n",
+ "9 1995 4.0 4.0 360.0 7.0 ... \n",
+ "10 1998 4.0 4.0 360.0 7.0 ... \n",
+ "11 1997 4.0 4.0 360.0 5.0 ... \n",
+ "12 1997 4.0 4.0 360.0 4.0 ... \n",
+ "13 1996 4.0 4.0 360.0 4.0 ... \n",
+ "14 1994 3.0 3.0 270.0 2.0 ... \n",
+ "15 1985 4.0 4.0 360.0 8.0 ... \n",
+ "16 1988 4.0 4.0 360.0 6.0 ... \n",
+ "17 1992 2.0 2.0 180.0 1.0 ... \n",
+ "18 1997 1.0 1.0 90.0 2.0 ... \n",
+ "19 1994 4.0 4.0 360.0 7.0 ... \n",
+ "20 1996 4.0 4.0 360.0 4.0 ... \n",
+ "21 1991 4.0 4.0 360.0 4.0 ... \n",
+ "22 1991 4.0 4.0 360.0 4.0 ... \n",
+ "23 1988 4.0 4.0 360.0 1.0 ... \n",
+ "24 2002 1.0 1.0 90.0 1.0 ... \n",
+ "25 1990 2.0 2.0 180.0 1.0 ... \n",
+ "26 1990 2.0 2.0 180.0 3.0 ... \n",
+ "27 2001 3.0 3.0 270.0 5.0 ... \n",
"\n",
" gk_passes_length_avg gk_goal_kicks gk_pct_goal_kicks_launched \\\n",
- "0 29.7 7.0 28.6 \n",
+ "0 27.5 9.0 22.2 \n",
"1 42.6 4.0 50.0 \n",
- "2 38.3 5.0 60.0 \n",
- "3 33.2 8.0 62.5 \n",
- "4 37.1 34.0 26.5 \n",
- "5 28.7 22.0 40.9 \n",
- "6 35.0 24.0 62.5 \n",
- "7 30.5 20.0 65.0 \n",
- "8 40.1 14.0 92.9 \n",
- "9 24.4 8.0 0.0 \n",
- "10 34.1 29.0 69.0 \n",
- "11 43.0 28.0 85.7 \n",
- "12 29.3 18.0 55.6 \n",
- "13 38.7 31.0 61.3 \n",
- "14 29.7 12.0 16.7 \n",
- "15 29.1 11.0 9.1 \n",
- "16 26.3 12.0 16.7 \n",
- "17 26.1 11.0 27.3 \n",
- "18 39.4 28.0 71.4 \n",
- "19 31.4 21.0 38.1 \n",
- "20 33.0 19.0 36.8 \n",
- "21 31.4 21.0 23.8 \n",
- "22 31.6 3.0 66.7 \n",
- "23 30.0 4.0 0.0 \n",
- "24 27.1 10.0 50.0 \n",
+ "2 36.8 6.0 83.3 \n",
+ "3 38.3 5.0 60.0 \n",
+ "4 33.2 8.0 62.5 \n",
+ "5 37.1 34.0 26.5 \n",
+ "6 37.1 9.0 33.3 \n",
+ "7 28.7 22.0 40.9 \n",
+ "8 31.0 42.0 52.4 \n",
+ "9 29.2 23.0 60.9 \n",
+ "10 39.7 22.0 95.5 \n",
+ "11 24.7 11.0 0.0 \n",
+ "12 38.1 36.0 75.0 \n",
+ "13 42.9 35.0 88.6 \n",
+ "14 29.3 18.0 55.6 \n",
+ "15 35.9 35.0 54.3 \n",
+ "16 29.3 17.0 11.8 \n",
+ "17 29.1 11.0 9.1 \n",
+ "18 26.3 12.0 16.7 \n",
+ "19 26.4 15.0 20.0 \n",
+ "20 37.8 40.0 65.0 \n",
+ "21 29.7 32.0 31.3 \n",
+ "22 32.1 22.0 31.8 \n",
+ "23 30.8 29.0 20.7 \n",
+ "24 21.0 2.0 0.0 \n",
+ "25 33.1 6.0 66.7 \n",
+ "26 33.1 9.0 11.1 \n",
+ "27 26.0 13.0 53.8 \n",
"\n",
" gk_goal_kick_length_avg gk_crosses gk_crosses_stopped \\\n",
- "0 28.0 17.0 0.0 \n",
+ "0 27.0 23.0 1.0 \n",
"1 50.3 10.0 2.0 \n",
- "2 45.8 18.0 0.0 \n",
- "3 49.4 15.0 0.0 \n",
- "4 28.1 46.0 2.0 \n",
- "5 40.3 45.0 2.0 \n",
- "6 42.3 32.0 2.0 \n",
- "7 49.3 43.0 12.0 \n",
- "8 62.2 64.0 8.0 \n",
- "9 21.4 15.0 1.0 \n",
- "10 58.9 23.0 0.0 \n",
- "11 61.0 44.0 1.0 \n",
- "12 46.1 28.0 2.0 \n",
- "13 46.3 51.0 3.0 \n",
- "14 24.5 15.0 0.0 \n",
- "15 18.9 26.0 2.0 \n",
- "16 29.6 18.0 0.0 \n",
- "17 31.6 39.0 2.0 \n",
- "18 52.8 49.0 2.0 \n",
- "19 39.5 33.0 0.0 \n",
- "20 37.0 45.0 2.0 \n",
- "21 31.0 35.0 1.0 \n",
- "22 53.3 16.0 1.0 \n",
- "23 23.3 11.0 0.0 \n",
- "24 40.7 25.0 2.0 \n",
+ "2 69.2 13.0 1.0 \n",
+ "3 45.8 18.0 0.0 \n",
+ "4 49.4 15.0 0.0 \n",
+ "5 28.1 46.0 2.0 \n",
+ "6 34.6 9.0 0.0 \n",
+ "7 40.3 45.0 2.0 \n",
+ "8 38.7 54.0 2.0 \n",
+ "9 47.0 52.0 12.0 \n",
+ "10 62.5 75.0 8.0 \n",
+ "11 20.4 27.0 1.0 \n",
+ "12 61.3 33.0 3.0 \n",
+ "13 62.7 54.0 1.0 \n",
+ "14 46.1 28.0 2.0 \n",
+ "15 43.6 63.0 4.0 \n",
+ "16 22.1 34.0 2.0 \n",
+ "17 18.9 26.0 2.0 \n",
+ "18 29.6 18.0 0.0 \n",
+ "19 27.9 48.0 2.0 \n",
+ "20 50.0 62.0 4.0 \n",
+ "21 35.4 49.0 0.0 \n",
+ "22 34.2 57.0 2.0 \n",
+ "23 28.3 41.0 2.0 \n",
+ "24 23.0 8.0 1.0 \n",
+ "25 52.0 33.0 1.0 \n",
+ "26 25.0 16.0 1.0 \n",
+ "27 41.7 33.0 2.0 \n",
"\n",
" gk_crosses_stopped_pct gk_def_actions_outside_pen_area \\\n",
- "0 0.0 2.0 \n",
+ "0 4.3 2.0 \n",
"1 20.0 2.0 \n",
- "2 0.0 0.0 \n",
- "3 0.0 3.0 \n",
- "4 4.3 3.0 \n",
- "5 4.4 2.0 \n",
- "6 6.3 1.0 \n",
- "7 27.9 3.0 \n",
- "8 12.5 2.0 \n",
- "9 6.7 5.0 \n",
- "10 0.0 1.0 \n",
- "11 2.3 8.0 \n",
- "12 7.1 8.0 \n",
- "13 5.9 1.0 \n",
- "14 0.0 2.0 \n",
- "15 7.7 2.0 \n",
- "16 0.0 1.0 \n",
- "17 5.1 6.0 \n",
- "18 4.1 2.0 \n",
- "19 0.0 2.0 \n",
- "20 4.4 2.0 \n",
- "21 2.9 0.0 \n",
- "22 6.3 0.0 \n",
- "23 0.0 0.0 \n",
- "24 8.0 2.0 \n",
+ "2 7.7 0.0 \n",
+ "3 0.0 0.0 \n",
+ "4 0.0 3.0 \n",
+ "5 4.3 3.0 \n",
+ "6 0.0 7.0 \n",
+ "7 4.4 2.0 \n",
+ "8 3.7 2.0 \n",
+ "9 23.1 3.0 \n",
+ "10 10.7 2.0 \n",
+ "11 3.7 7.0 \n",
+ "12 9.1 5.0 \n",
+ "13 1.9 8.0 \n",
+ "14 7.1 8.0 \n",
+ "15 6.3 1.0 \n",
+ "16 5.9 2.0 \n",
+ "17 7.7 2.0 \n",
+ "18 0.0 1.0 \n",
+ "19 4.2 6.0 \n",
+ "20 6.5 3.0 \n",
+ "21 0.0 3.0 \n",
+ "22 3.5 2.0 \n",
+ "23 4.9 0.0 \n",
+ "24 12.5 0.0 \n",
+ "25 3.0 0.0 \n",
+ "26 6.3 1.0 \n",
+ "27 6.1 3.0 \n",
"\n",
" gk_def_actions_outside_pen_area_per90 gk_avg_distance_def_actions \n",
- "0 2.00 16.6 \n",
+ "0 1.00 15.7 \n",
"1 2.00 12.4 \n",
- "2 0.00 0.0 \n",
- "3 1.50 22.0 \n",
- "4 1.00 14.5 \n",
- "5 0.67 11.7 \n",
- "6 0.33 9.0 \n",
- "7 1.00 10.3 \n",
- "8 0.67 9.7 \n",
- "9 1.67 18.1 \n",
- "10 0.33 14.2 \n",
- "11 2.67 20.9 \n",
- "12 2.67 22.0 \n",
- "13 0.33 8.3 \n",
- "14 0.67 16.2 \n",
- "15 1.00 15.0 \n",
- "16 1.00 21.0 \n",
- "17 2.00 16.3 \n",
- "18 0.67 11.9 \n",
- "19 0.67 13.4 \n",
- "20 0.67 11.3 \n",
- "21 0.00 6.8 \n",
- "22 0.00 10.8 \n",
- "23 0.00 13.3 \n",
- "24 1.00 11.8 \n",
+ "2 0.00 14.5 \n",
+ "3 0.00 0.0 \n",
+ "4 1.50 22.0 \n",
+ "5 1.00 14.5 \n",
+ "6 7.00 28.9 \n",
+ "7 0.67 11.7 \n",
+ "8 0.50 10.3 \n",
+ "9 0.75 9.8 \n",
+ "10 0.50 9.3 \n",
+ "11 1.75 18.2 \n",
+ "12 1.25 15.8 \n",
+ "13 2.00 19.4 \n",
+ "14 2.67 22.0 \n",
+ "15 0.25 7.8 \n",
+ "16 0.50 12.2 \n",
+ "17 1.00 15.0 \n",
+ "18 1.00 21.0 \n",
+ "19 1.50 15.7 \n",
+ "20 0.75 12.5 \n",
+ "21 0.75 14.0 \n",
+ "22 0.50 11.5 \n",
+ "23 0.00 6.5 \n",
+ "24 0.00 9.0 \n",
+ "25 0.00 9.6 \n",
+ "26 0.50 13.7 \n",
+ "27 1.00 16.3 \n",
"\n",
- "[25 rows x 47 columns]"
+ "[28 rows x 47 columns]"
]
},
"execution_count": 4,
@@ -1508,482 +1598,482 @@
" \n",
" 0 \n",
" Atalanta \n",
- " 20.0 \n",
- " 51.7 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 6.0 \n",
- " 6.0 \n",
+ " 23.0 \n",
+ " 49.5 \n",
+ " 4.0 \n",
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" 0.0 \n",
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- " 42.0 \n",
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+ " 232.0 \n",
+ " 60.0 \n",
+ " 65.0 \n",
+ " 48.0 \n",
" \n",
" \n",
" 1 \n",
" Bologna \n",
- " 20.0 \n",
- " 55.3 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 22.0 \n",
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" 3.0 \n",
" 2.0 \n",
" 0.0 \n",
" 1.0 \n",
" ... \n",
- " 32.0 \n",
- " 25.0 \n",
- " 3.0 \n",
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+ " 4.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 153.0 \n",
- " 29.0 \n",
- " 23.0 \n",
- " 55.8 \n",
+ " 205.0 \n",
+ " 46.0 \n",
+ " 34.0 \n",
+ " 57.5 \n",
" \n",
" \n",
" 2 \n",
" Cagliari \n",
- " 19.0 \n",
- " 35.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 21.0 \n",
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" 0.0 \n",
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- " 44.0 \n",
- " 45.7 \n",
+ " 241.0 \n",
+ " 51.0 \n",
+ " 60.0 \n",
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" \n",
" \n",
" 3 \n",
" Empoli \n",
- " 26.0 \n",
- " 48.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 27.0 \n",
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" 0.0 \n",
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" 1.0 \n",
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- " 41.7 \n",
+ " 176.0 \n",
+ " 39.0 \n",
+ " 54.0 \n",
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" \n",
" \n",
" 4 \n",
" Fiorentina \n",
- " 21.0 \n",
- " 62.3 \n",
- " 3.0 \n",
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" 1.0 \n",
" 0.0 \n",
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- " 32.0 \n",
- " 38.0 \n",
- " 45.7 \n",
+ " 196.0 \n",
+ " 53.0 \n",
+ " 56.0 \n",
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" \n",
" \n",
" 5 \n",
" Frosinone \n",
- " 21.0 \n",
- " 46.0 \n",
- " 3.0 \n",
- " 33.0 \n",
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- " 3.0 \n",
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" 2.0 \n",
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" ... \n",
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" 0.0 \n",
" 0.0 \n",
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- " 46.0 \n",
- " 47.7 \n",
+ " 202.0 \n",
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" \n",
" \n",
" 6 \n",
" Genoa \n",
- " 18.0 \n",
- " 33.0 \n",
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+ " 4.0 \n",
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+ " 177.0 \n",
+ " 60.0 \n",
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" \n",
" \n",
" 7 \n",
" Hellas Verona \n",
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" 1.0 \n",
" 0.0 \n",
- " 157.0 \n",
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+ " 82.0 \n",
" 71.0 \n",
- " 54.0 \n",
- " 56.8 \n",
+ " 53.6 \n",
" \n",
" \n",
" 8 \n",
" Inter \n",
- " 18.0 \n",
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- " 3.0 \n",
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" \n",
" \n",
" 9 \n",
" Juventus \n",
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" 26.0 \n",
- " 22.0 \n",
- " 54.2 \n",
+ " 59.4 \n",
" \n",
" \n",
" 10 \n",
" Lazio \n",
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- " 3.0 \n",
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+ " 37.0 \n",
" \n",
" \n",
" 11 \n",
" Lecce \n",
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" \n",
" \n",
" 12 \n",
" Milan \n",
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- " 54.0 \n",
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" 3.0 \n",
" 3.0 \n",
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+ " 169.0 \n",
+ " 33.0 \n",
+ " 42.0 \n",
+ " 44.0 \n",
" \n",
" \n",
" 13 \n",
" Monza \n",
- " 21.0 \n",
- " 55.3 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 2.0 \n",
- " 2.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " ... \n",
- " 36.0 \n",
- " 25.0 \n",
+ " 22.0 \n",
+ " 56.8 \n",
" 4.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 122.0 \n",
- " 27.0 \n",
- " 37.0 \n",
- " 42.2 \n",
- " \n",
- " \n",
- " 14 \n",
- " Napoli \n",
- " 18.0 \n",
- " 60.3 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 6.0 \n",
- " 3.0 \n",
- " 1.0 \n",
- " 2.0 \n",
- " ... \n",
- " 34.0 \n",
- " 27.0 \n",
- " 11.0 \n",
- " 1.0 \n",
- " 1.0 \n",
- " 0.0 \n",
- " 156.0 \n",
- " 33.0 \n",
- " 19.0 \n",
- " 63.5 \n",
- " \n",
- " \n",
- " 15 \n",
- " Roma \n",
- " 21.0 \n",
- " 58.3 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 4.0 \n",
" 3.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 38.0 \n",
- " 41.0 \n",
+ " 53.0 \n",
+ " 35.0 \n",
" 5.0 \n",
" 0.0 \n",
" 1.0 \n",
" 0.0 \n",
- " 145.0 \n",
- " 64.0 \n",
+ " 175.0 \n",
+ " 37.0 \n",
" 45.0 \n",
- " 58.7 \n",
+ " 45.1 \n",
+ " \n",
+ " \n",
+ " 14 \n",
+ " Napoli \n",
+ " 19.0 \n",
+ " 61.8 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 8.0 \n",
+ " 5.0 \n",
+ " 1.0 \n",
+ " 2.0 \n",
+ " ... \n",
+ " 42.0 \n",
+ " 39.0 \n",
+ " 14.0 \n",
+ " 1.0 \n",
+ " 1.0 \n",
+ " 0.0 \n",
+ " 208.0 \n",
+ " 47.0 \n",
+ " 35.0 \n",
+ " 57.3 \n",
+ " \n",
+ " \n",
+ " 15 \n",
+ " Roma \n",
+ " 23.0 \n",
+ " 57.0 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 10.0 \n",
+ " 8.0 \n",
+ " 1.0 \n",
+ " 1.0 \n",
+ " ... \n",
+ " 53.0 \n",
+ " 45.0 \n",
+ " 7.0 \n",
+ " 0.0 \n",
+ " 1.0 \n",
+ " 0.0 \n",
+ " 196.0 \n",
+ " 76.0 \n",
+ " 54.0 \n",
+ " 58.5 \n",
" \n",
" \n",
" 16 \n",
" Salernitana \n",
" 21.0 \n",
- " 50.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 51.5 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 3.0 \n",
" 3.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 36.0 \n",
- " 47.0 \n",
- " 3.0 \n",
+ " 48.0 \n",
+ " 62.0 \n",
+ " 5.0 \n",
" 0.0 \n",
" 1.0 \n",
" 0.0 \n",
- " 127.0 \n",
- " 37.0 \n",
- " 68.0 \n",
- " 35.2 \n",
+ " 183.0 \n",
+ " 54.0 \n",
+ " 86.0 \n",
+ " 38.6 \n",
" \n",
" \n",
" 17 \n",
" Sassuolo \n",
- " 22.0 \n",
- " 43.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 3.0 \n",
- " 2.0 \n",
+ " 24.0 \n",
+ " 43.5 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 5.0 \n",
+ " 4.0 \n",
" 1.0 \n",
" 1.0 \n",
" ... \n",
- " 27.0 \n",
- " 33.0 \n",
+ " 36.0 \n",
+ " 41.0 \n",
+ " 3.0 \n",
" 1.0 \n",
- " 1.0 \n",
- " 2.0 \n",
+ " 3.0 \n",
" 0.0 \n",
- " 127.0 \n",
- " 30.0 \n",
- " 40.0 \n",
- " 42.9 \n",
+ " 171.0 \n",
+ " 37.0 \n",
+ " 50.0 \n",
+ " 42.5 \n",
" \n",
" \n",
" 18 \n",
" Torino \n",
- " 20.0 \n",
- " 53.7 \n",
+ " 22.0 \n",
+ " 51.3 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 5.0 \n",
" 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 2.0 \n",
- " 2.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 37.0 \n",
- " 31.0 \n",
- " 8.0 \n",
+ " 53.0 \n",
+ " 43.0 \n",
+ " 10.0 \n",
" 0.0 \n",
" 2.0 \n",
" 0.0 \n",
- " 141.0 \n",
- " 41.0 \n",
- " 46.0 \n",
- " 47.1 \n",
+ " 193.0 \n",
+ " 59.0 \n",
+ " 63.0 \n",
+ " 48.4 \n",
" \n",
" \n",
" 19 \n",
" Udinese \n",
- " 18.0 \n",
- " 46.7 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 22.0 \n",
+ " 48.5 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 1.0 \n",
" 1.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 45.0 \n",
- " 30.0 \n",
- " 4.0 \n",
+ " 56.0 \n",
+ " 42.0 \n",
+ " 5.0 \n",
" 0.0 \n",
" 1.0 \n",
" 0.0 \n",
- " 148.0 \n",
- " 48.0 \n",
- " 38.0 \n",
- " 55.8 \n",
+ " 203.0 \n",
+ " 64.0 \n",
+ " 52.0 \n",
+ " 55.2 \n",
" \n",
" \n",
"\n",
@@ -1992,92 +2082,92 @@
],
"text/plain": [
" team players_used possession games games_starts minutes \\\n",
- "0 Atalanta 20.0 51.7 3.0 33.0 270.0 \n",
- "1 Bologna 20.0 55.3 3.0 33.0 270.0 \n",
- "2 Cagliari 19.0 35.0 3.0 33.0 270.0 \n",
- "3 Empoli 26.0 48.0 3.0 33.0 270.0 \n",
- "4 Fiorentina 21.0 62.3 3.0 33.0 270.0 \n",
- "5 Frosinone 21.0 46.0 3.0 33.0 270.0 \n",
- "6 Genoa 18.0 33.0 3.0 33.0 270.0 \n",
- "7 Hellas Verona 19.0 44.7 3.0 33.0 270.0 \n",
- "8 Inter 18.0 51.3 3.0 33.0 270.0 \n",
- "9 Juventus 21.0 53.0 3.0 33.0 270.0 \n",
- "10 Lazio 19.0 53.3 3.0 33.0 270.0 \n",
- "11 Lecce 18.0 45.0 3.0 33.0 270.0 \n",
- "12 Milan 18.0 54.0 3.0 33.0 270.0 \n",
- "13 Monza 21.0 55.3 3.0 33.0 270.0 \n",
- "14 Napoli 18.0 60.3 3.0 33.0 270.0 \n",
- "15 Roma 21.0 58.3 3.0 33.0 270.0 \n",
- "16 Salernitana 21.0 50.0 3.0 33.0 270.0 \n",
- "17 Sassuolo 22.0 43.0 3.0 33.0 270.0 \n",
- "18 Torino 20.0 53.7 3.0 33.0 270.0 \n",
- "19 Udinese 18.0 46.7 3.0 33.0 270.0 \n",
+ "0 Atalanta 23.0 49.5 4.0 44.0 360.0 \n",
+ "1 Bologna 22.0 56.5 4.0 44.0 360.0 \n",
+ "2 Cagliari 21.0 37.8 4.0 44.0 360.0 \n",
+ "3 Empoli 27.0 47.8 4.0 44.0 360.0 \n",
+ "4 Fiorentina 22.0 61.0 4.0 44.0 360.0 \n",
+ "5 Frosinone 23.0 48.3 4.0 44.0 360.0 \n",
+ "6 Genoa 19.0 33.3 4.0 44.0 360.0 \n",
+ "7 Hellas Verona 21.0 43.5 4.0 44.0 360.0 \n",
+ "8 Inter 19.0 48.8 4.0 44.0 360.0 \n",
+ "9 Juventus 21.0 48.8 4.0 44.0 360.0 \n",
+ "10 Lazio 20.0 56.0 4.0 44.0 360.0 \n",
+ "11 Lecce 19.0 43.5 4.0 44.0 360.0 \n",
+ "12 Milan 19.0 55.3 4.0 44.0 360.0 \n",
+ "13 Monza 22.0 56.8 4.0 44.0 360.0 \n",
+ "14 Napoli 19.0 61.8 4.0 44.0 360.0 \n",
+ "15 Roma 23.0 57.0 4.0 44.0 360.0 \n",
+ "16 Salernitana 21.0 51.5 4.0 44.0 360.0 \n",
+ "17 Sassuolo 24.0 43.5 4.0 44.0 360.0 \n",
+ "18 Torino 22.0 51.3 4.0 44.0 360.0 \n",
+ "19 Udinese 22.0 48.5 4.0 44.0 360.0 \n",
"\n",
" goals assists pens_made pens_att ... fouls fouled offsides \\\n",
- "0 6.0 6.0 0.0 0.0 ... 34.0 27.0 7.0 \n",
- "1 3.0 2.0 0.0 1.0 ... 32.0 25.0 3.0 \n",
- "2 1.0 1.0 0.0 0.0 ... 34.0 25.0 4.0 \n",
- "3 0.0 0.0 0.0 0.0 ... 38.0 44.0 5.0 \n",
- "4 6.0 5.0 0.0 0.0 ... 41.0 38.0 4.0 \n",
- "5 3.0 2.0 1.0 1.0 ... 33.0 40.0 6.0 \n",
- "6 2.0 1.0 0.0 0.0 ... 37.0 29.0 4.0 \n",
- "7 4.0 2.0 0.0 0.0 ... 48.0 36.0 7.0 \n",
- "8 8.0 7.0 1.0 1.0 ... 31.0 33.0 3.0 \n",
- "9 6.0 4.0 1.0 2.0 ... 38.0 35.0 9.0 \n",
- "10 3.0 3.0 0.0 0.0 ... 34.0 33.0 4.0 \n",
- "11 6.0 5.0 1.0 1.0 ... 44.0 45.0 3.0 \n",
- "12 8.0 5.0 3.0 3.0 ... 32.0 39.0 4.0 \n",
- "13 2.0 2.0 0.0 0.0 ... 36.0 25.0 4.0 \n",
- "14 6.0 3.0 1.0 2.0 ... 34.0 27.0 11.0 \n",
- "15 4.0 3.0 0.0 0.0 ... 38.0 41.0 5.0 \n",
- "16 3.0 3.0 0.0 0.0 ... 36.0 47.0 3.0 \n",
- "17 3.0 2.0 1.0 1.0 ... 27.0 33.0 1.0 \n",
- "18 2.0 2.0 0.0 0.0 ... 37.0 31.0 8.0 \n",
- "19 1.0 1.0 0.0 0.0 ... 45.0 30.0 4.0 \n",
+ "0 8.0 8.0 0.0 0.0 ... 48.0 34.0 9.0 \n",
+ "1 3.0 2.0 0.0 1.0 ... 42.0 41.0 4.0 \n",
+ "2 1.0 1.0 0.0 0.0 ... 46.0 35.0 7.0 \n",
+ "3 0.0 0.0 0.0 0.0 ... 43.0 59.0 7.0 \n",
+ "4 9.0 7.0 0.0 0.0 ... 49.0 52.0 4.0 \n",
+ "5 7.0 4.0 2.0 2.0 ... 43.0 49.0 11.0 \n",
+ "6 4.0 3.0 0.0 0.0 ... 51.0 35.0 5.0 \n",
+ "7 4.0 2.0 0.0 0.0 ... 66.0 46.0 12.0 \n",
+ "8 13.0 11.0 2.0 2.0 ... 47.0 45.0 5.0 \n",
+ "9 9.0 7.0 1.0 2.0 ... 51.0 48.0 10.0 \n",
+ "10 4.0 4.0 0.0 0.0 ... 47.0 46.0 4.0 \n",
+ "11 7.0 5.0 2.0 2.0 ... 55.0 62.0 3.0 \n",
+ "12 9.0 6.0 3.0 3.0 ... 45.0 53.0 6.0 \n",
+ "13 3.0 3.0 0.0 0.0 ... 53.0 35.0 5.0 \n",
+ "14 8.0 5.0 1.0 2.0 ... 42.0 39.0 14.0 \n",
+ "15 10.0 8.0 1.0 1.0 ... 53.0 45.0 7.0 \n",
+ "16 3.0 3.0 0.0 0.0 ... 48.0 62.0 5.0 \n",
+ "17 5.0 4.0 1.0 1.0 ... 36.0 41.0 3.0 \n",
+ "18 5.0 3.0 0.0 0.0 ... 53.0 43.0 10.0 \n",
+ "19 1.0 1.0 0.0 0.0 ... 56.0 42.0 5.0 \n",
"\n",
" pens_won pens_conceded own_goals ball_recoveries aerials_won \\\n",
- "0 0.0 0.0 0.0 172.0 42.0 \n",
- "1 0.0 0.0 0.0 153.0 29.0 \n",
- "2 0.0 1.0 0.0 190.0 37.0 \n",
- "3 0.0 1.0 0.0 131.0 30.0 \n",
- "4 0.0 1.0 0.0 141.0 32.0 \n",
- "5 1.0 0.0 0.0 154.0 42.0 \n",
- "6 0.0 0.0 0.0 128.0 44.0 \n",
- "7 0.0 1.0 0.0 157.0 71.0 \n",
- "8 1.0 0.0 0.0 156.0 36.0 \n",
- "9 1.0 0.0 0.0 140.0 26.0 \n",
- "10 0.0 0.0 0.0 149.0 26.0 \n",
- "11 0.0 0.0 0.0 148.0 46.0 \n",
- "12 2.0 0.0 0.0 134.0 27.0 \n",
- "13 0.0 0.0 0.0 122.0 27.0 \n",
- "14 1.0 1.0 0.0 156.0 33.0 \n",
- "15 0.0 1.0 0.0 145.0 64.0 \n",
- "16 0.0 1.0 0.0 127.0 37.0 \n",
- "17 1.0 2.0 0.0 127.0 30.0 \n",
- "18 0.0 2.0 0.0 141.0 41.0 \n",
- "19 0.0 1.0 0.0 148.0 48.0 \n",
+ "0 0.0 0.0 0.0 232.0 60.0 \n",
+ "1 0.0 0.0 0.0 205.0 46.0 \n",
+ "2 0.0 1.0 0.0 241.0 51.0 \n",
+ "3 0.0 2.0 1.0 176.0 39.0 \n",
+ "4 0.0 1.0 0.0 196.0 53.0 \n",
+ "5 2.0 0.0 0.0 202.0 52.0 \n",
+ "6 0.0 0.0 0.0 177.0 60.0 \n",
+ "7 0.0 1.0 0.0 207.0 82.0 \n",
+ "8 2.0 0.0 0.0 187.0 44.0 \n",
+ "9 1.0 0.0 0.0 181.0 38.0 \n",
+ "10 0.0 0.0 0.0 188.0 30.0 \n",
+ "11 1.0 0.0 0.0 191.0 54.0 \n",
+ "12 2.0 1.0 0.0 169.0 33.0 \n",
+ "13 0.0 1.0 0.0 175.0 37.0 \n",
+ "14 1.0 1.0 0.0 208.0 47.0 \n",
+ "15 0.0 1.0 0.0 196.0 76.0 \n",
+ "16 0.0 1.0 0.0 183.0 54.0 \n",
+ "17 1.0 3.0 0.0 171.0 37.0 \n",
+ "18 0.0 2.0 0.0 193.0 59.0 \n",
+ "19 0.0 1.0 0.0 203.0 64.0 \n",
"\n",
" aerials_lost aerials_won_pct \n",
- "0 44.0 48.8 \n",
- "1 23.0 55.8 \n",
- "2 44.0 45.7 \n",
- "3 42.0 41.7 \n",
- "4 38.0 45.7 \n",
- "5 46.0 47.7 \n",
- "6 32.0 57.9 \n",
- "7 54.0 56.8 \n",
- "8 24.0 60.0 \n",
- "9 22.0 54.2 \n",
- "10 39.0 40.0 \n",
- "11 33.0 58.2 \n",
- "12 34.0 44.3 \n",
- "13 37.0 42.2 \n",
- "14 19.0 63.5 \n",
- "15 45.0 58.7 \n",
- "16 68.0 35.2 \n",
- "17 40.0 42.9 \n",
- "18 46.0 47.1 \n",
- "19 38.0 55.8 \n",
+ "0 65.0 48.0 \n",
+ "1 34.0 57.5 \n",
+ "2 60.0 45.9 \n",
+ "3 54.0 41.9 \n",
+ "4 56.0 48.6 \n",
+ "5 53.0 49.5 \n",
+ "6 46.0 56.6 \n",
+ "7 71.0 53.6 \n",
+ "8 30.0 59.5 \n",
+ "9 26.0 59.4 \n",
+ "10 51.0 37.0 \n",
+ "11 43.0 55.7 \n",
+ "12 42.0 44.0 \n",
+ "13 45.0 45.1 \n",
+ "14 35.0 57.3 \n",
+ "15 54.0 58.5 \n",
+ "16 86.0 38.6 \n",
+ "17 50.0 42.5 \n",
+ "18 63.0 48.4 \n",
+ "19 52.0 55.2 \n",
"\n",
"[20 rows x 152 columns]"
]
@@ -2149,482 +2239,482 @@
" \n",
" 0 \n",
" vs Atalanta \n",
- " 20.0 \n",
- " 48.3 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 2.0 \n",
- " 2.0 \n",
+ " 23.0 \n",
+ " 50.5 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 5.0 \n",
+ " 4.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 28.0 \n",
- " 33.0 \n",
+ " 36.0 \n",
+ " 47.0 \n",
" 2.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 157.0 \n",
- " 44.0 \n",
- " 42.0 \n",
- " 51.2 \n",
+ " 212.0 \n",
+ " 65.0 \n",
+ " 60.0 \n",
+ " 52.0 \n",
" \n",
" \n",
" 1 \n",
" vs Bologna \n",
- " 20.0 \n",
- " 44.7 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 22.0 \n",
+ " 43.5 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 4.0 \n",
" 4.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 32.0 \n",
- " 30.0 \n",
- " 7.0 \n",
+ " 50.0 \n",
+ " 40.0 \n",
+ " 12.0 \n",
" 0.0 \n",
" 1.0 \n",
" 0.0 \n",
- " 157.0 \n",
- " 23.0 \n",
- " 29.0 \n",
- " 44.2 \n",
+ " 207.0 \n",
+ " 34.0 \n",
+ " 46.0 \n",
+ " 42.5 \n",
" \n",
" \n",
" 2 \n",
" vs Cagliari \n",
- " 19.0 \n",
- " 65.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 21.0 \n",
+ " 62.3 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 4.0 \n",
" 3.0 \n",
" 0.0 \n",
" 1.0 \n",
" ... \n",
- " 27.0 \n",
- " 29.0 \n",
- " 4.0 \n",
+ " 38.0 \n",
+ " 41.0 \n",
+ " 5.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 165.0 \n",
- " 44.0 \n",
- " 37.0 \n",
- " 54.3 \n",
+ " 220.0 \n",
+ " 60.0 \n",
+ " 51.0 \n",
+ " 54.1 \n",
" \n",
" \n",
" 3 \n",
" vs Empoli \n",
- " 26.0 \n",
- " 52.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 5.0 \n",
- " 3.0 \n",
- " 0.0 \n",
+ " 27.0 \n",
+ " 52.3 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 11.0 \n",
+ " 8.0 \n",
" 1.0 \n",
+ " 2.0 \n",
" ... \n",
- " 45.0 \n",
- " 38.0 \n",
- " 6.0 \n",
+ " 60.0 \n",
+ " 42.0 \n",
+ " 8.0 \n",
" 1.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 152.0 \n",
- " 42.0 \n",
- " 30.0 \n",
- " 58.3 \n",
+ " 203.0 \n",
+ " 54.0 \n",
+ " 39.0 \n",
+ " 58.1 \n",
" \n",
" \n",
" 4 \n",
" vs Fiorentina \n",
- " 21.0 \n",
- " 37.7 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 7.0 \n",
- " 6.0 \n",
+ " 22.0 \n",
+ " 39.0 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 9.0 \n",
+ " 8.0 \n",
" 1.0 \n",
" 1.0 \n",
" ... \n",
- " 42.0 \n",
- " 36.0 \n",
- " 3.0 \n",
+ " 56.0 \n",
+ " 43.0 \n",
+ " 5.0 \n",
" 1.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 142.0 \n",
- " 38.0 \n",
- " 32.0 \n",
- " 54.3 \n",
+ " 202.0 \n",
+ " 56.0 \n",
+ " 53.0 \n",
+ " 51.4 \n",
" \n",
" \n",
" 5 \n",
" vs Frosinone \n",
- " 21.0 \n",
- " 54.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 23.0 \n",
+ " 51.8 \n",
" 4.0 \n",
- " 3.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 6.0 \n",
+ " 5.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 41.0 \n",
- " 31.0 \n",
- " 4.0 \n",
+ " 50.0 \n",
+ " 39.0 \n",
+ " 6.0 \n",
" 0.0 \n",
- " 1.0 \n",
+ " 2.0 \n",
" 0.0 \n",
- " 168.0 \n",
- " 46.0 \n",
- " 42.0 \n",
- " 52.3 \n",
+ " 212.0 \n",
+ " 53.0 \n",
+ " 52.0 \n",
+ " 50.5 \n",
" \n",
" \n",
" 6 \n",
" vs Genoa \n",
- " 18.0 \n",
- " 67.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 5.0 \n",
+ " 19.0 \n",
+ " 66.8 \n",
" 4.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " ... \n",
- " 35.0 \n",
- " 31.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 7.0 \n",
" 6.0 \n",
" 0.0 \n",
" 0.0 \n",
+ " ... \n",
+ " 43.0 \n",
+ " 43.0 \n",
+ " 9.0 \n",
" 0.0 \n",
- " 148.0 \n",
- " 32.0 \n",
- " 44.0 \n",
- " 42.1 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 200.0 \n",
+ " 46.0 \n",
+ " 60.0 \n",
+ " 43.4 \n",
" \n",
" \n",
" 7 \n",
" vs Hellas Verona \n",
- " 19.0 \n",
- " 55.3 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 21.0 \n",
+ " 56.5 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 4.0 \n",
" 2.0 \n",
" 1.0 \n",
" 1.0 \n",
" ... \n",
- " 37.0 \n",
" 47.0 \n",
- " 6.0 \n",
+ " 63.0 \n",
+ " 7.0 \n",
" 1.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 138.0 \n",
- " 54.0 \n",
+ " 190.0 \n",
" 71.0 \n",
- " 43.2 \n",
+ " 82.0 \n",
+ " 46.4 \n",
" \n",
" \n",
" 8 \n",
" vs Inter \n",
- " 18.0 \n",
- " 48.7 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 0.0 \n",
- " 0.0 \n",
+ " 19.0 \n",
+ " 51.3 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 1.0 \n",
+ " 1.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 34.0 \n",
+ " 47.0 \n",
+ " 44.0 \n",
+ " 5.0 \n",
+ " 0.0 \n",
+ " 2.0 \n",
+ " 0.0 \n",
+ " 163.0 \n",
" 30.0 \n",
- " 3.0 \n",
- " 0.0 \n",
- " 1.0 \n",
- " 0.0 \n",
- " 128.0 \n",
- " 24.0 \n",
- " 36.0 \n",
- " 40.0 \n",
+ " 44.0 \n",
+ " 40.5 \n",
" \n",
" \n",
" 9 \n",
" vs Juventus \n",
" 21.0 \n",
- " 47.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 1.0 \n",
- " 1.0 \n",
+ " 51.3 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 2.0 \n",
+ " 2.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 39.0 \n",
- " 36.0 \n",
+ " 52.0 \n",
+ " 49.0 \n",
" 5.0 \n",
" 0.0 \n",
" 2.0 \n",
" 0.0 \n",
- " 134.0 \n",
- " 22.0 \n",
+ " 173.0 \n",
" 26.0 \n",
- " 45.8 \n",
+ " 38.0 \n",
+ " 40.6 \n",
" \n",
" \n",
" 10 \n",
" vs Lazio \n",
- " 19.0 \n",
- " 46.7 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 20.0 \n",
+ " 44.0 \n",
" 4.0 \n",
- " 2.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 7.0 \n",
+ " 5.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 36.0 \n",
- " 31.0 \n",
- " 6.0 \n",
+ " 49.0 \n",
+ " 44.0 \n",
+ " 7.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 155.0 \n",
- " 39.0 \n",
- " 26.0 \n",
- " 60.0 \n",
+ " 196.0 \n",
+ " 51.0 \n",
+ " 30.0 \n",
+ " 63.0 \n",
" \n",
" \n",
" 11 \n",
" vs Lecce \n",
- " 18.0 \n",
- " 55.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 3.0 \n",
- " 3.0 \n",
+ " 19.0 \n",
+ " 56.5 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 47.0 \n",
+ " 64.0 \n",
+ " 53.0 \n",
+ " 5.0 \n",
+ " 0.0 \n",
+ " 2.0 \n",
+ " 0.0 \n",
+ " 203.0 \n",
" 43.0 \n",
- " 4.0 \n",
- " 0.0 \n",
- " 1.0 \n",
- " 0.0 \n",
- " 150.0 \n",
- " 33.0 \n",
- " 46.0 \n",
- " 41.8 \n",
+ " 54.0 \n",
+ " 44.3 \n",
" \n",
" \n",
" 12 \n",
" vs Milan \n",
- " 18.0 \n",
- " 46.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 2.0 \n",
- " 2.0 \n",
- " 0.0 \n",
- " 0.0 \n",
+ " 19.0 \n",
+ " 44.8 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 7.0 \n",
+ " 6.0 \n",
+ " 1.0 \n",
+ " 1.0 \n",
" ... \n",
- " 40.0 \n",
- " 31.0 \n",
- " 5.0 \n",
- " 0.0 \n",
+ " 56.0 \n",
+ " 43.0 \n",
+ " 7.0 \n",
+ " 1.0 \n",
" 3.0 \n",
" 0.0 \n",
- " 145.0 \n",
- " 34.0 \n",
- " 27.0 \n",
- " 55.7 \n",
+ " 176.0 \n",
+ " 42.0 \n",
+ " 33.0 \n",
+ " 56.0 \n",
" \n",
" \n",
" 13 \n",
" vs Monza \n",
- " 21.0 \n",
- " 44.7 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 5.0 \n",
- " 5.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " ... \n",
- " 26.0 \n",
- " 35.0 \n",
+ " 22.0 \n",
+ " 43.3 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 6.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 144.0 \n",
+ " 5.0 \n",
+ " 1.0 \n",
+ " 1.0 \n",
+ " ... \n",
" 37.0 \n",
- " 27.0 \n",
- " 57.8 \n",
+ " 52.0 \n",
+ " 6.0 \n",
+ " 1.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 187.0 \n",
+ " 45.0 \n",
+ " 37.0 \n",
+ " 54.9 \n",
" \n",
" \n",
" 14 \n",
" vs Napoli \n",
- " 18.0 \n",
- " 39.7 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 3.0 \n",
- " 2.0 \n",
+ " 19.0 \n",
+ " 38.3 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 5.0 \n",
+ " 4.0 \n",
" 1.0 \n",
" 1.0 \n",
" ... \n",
- " 33.0 \n",
- " 33.0 \n",
- " 6.0 \n",
+ " 47.0 \n",
+ " 39.0 \n",
+ " 7.0 \n",
" 1.0 \n",
" 2.0 \n",
" 0.0 \n",
- " 124.0 \n",
- " 19.0 \n",
- " 33.0 \n",
- " 36.5 \n",
+ " 173.0 \n",
+ " 35.0 \n",
+ " 47.0 \n",
+ " 42.7 \n",
" \n",
" \n",
" 15 \n",
" vs Roma \n",
- " 21.0 \n",
- " 41.7 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 23.0 \n",
+ " 43.0 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 6.0 \n",
" 4.0 \n",
" 1.0 \n",
" 1.0 \n",
" ... \n",
- " 41.0 \n",
- " 36.0 \n",
- " 2.0 \n",
+ " 46.0 \n",
+ " 51.0 \n",
+ " 4.0 \n",
" 1.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 114.0 \n",
- " 45.0 \n",
- " 64.0 \n",
- " 41.3 \n",
+ " 1.0 \n",
+ " 1.0 \n",
+ " 159.0 \n",
+ " 54.0 \n",
+ " 76.0 \n",
+ " 41.5 \n",
" \n",
" \n",
" 16 \n",
" vs Salernitana \n",
" 21.0 \n",
- " 50.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 5.0 \n",
+ " 48.5 \n",
" 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 8.0 \n",
+ " 5.0 \n",
" 1.0 \n",
" 1.0 \n",
" ... \n",
- " 48.0 \n",
- " 34.0 \n",
- " 2.0 \n",
+ " 64.0 \n",
+ " 46.0 \n",
+ " 4.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 151.0 \n",
- " 68.0 \n",
- " 37.0 \n",
- " 64.8 \n",
+ " 203.0 \n",
+ " 86.0 \n",
+ " 54.0 \n",
+ " 61.4 \n",
" \n",
" \n",
" 17 \n",
" vs Sassuolo \n",
- " 22.0 \n",
- " 57.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 5.0 \n",
+ " 24.0 \n",
+ " 56.5 \n",
" 4.0 \n",
- " 1.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 9.0 \n",
+ " 6.0 \n",
" 2.0 \n",
+ " 3.0 \n",
" ... \n",
- " 35.0 \n",
- " 25.0 \n",
- " 10.0 \n",
- " 1.0 \n",
+ " 45.0 \n",
+ " 34.0 \n",
+ " 15.0 \n",
+ " 2.0 \n",
" 1.0 \n",
" 0.0 \n",
- " 159.0 \n",
- " 40.0 \n",
- " 30.0 \n",
- " 57.1 \n",
+ " 207.0 \n",
+ " 50.0 \n",
+ " 37.0 \n",
+ " 57.5 \n",
" \n",
" \n",
" 18 \n",
" vs Torino \n",
- " 20.0 \n",
- " 46.3 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 22.0 \n",
+ " 48.8 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 4.0 \n",
" 2.0 \n",
" 2.0 \n",
" 2.0 \n",
" ... \n",
- " 32.0 \n",
- " 33.0 \n",
- " 5.0 \n",
+ " 44.0 \n",
+ " 48.0 \n",
+ " 7.0 \n",
" 1.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 151.0 \n",
- " 46.0 \n",
- " 41.0 \n",
- " 52.9 \n",
+ " 207.0 \n",
+ " 63.0 \n",
+ " 59.0 \n",
+ " 51.6 \n",
" \n",
" \n",
" 19 \n",
" vs Udinese \n",
- " 18.0 \n",
- " 53.3 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 22.0 \n",
+ " 51.5 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 4.0 \n",
" 3.0 \n",
" 1.0 \n",
" 1.0 \n",
" ... \n",
- " 31.0 \n",
- " 41.0 \n",
- " 7.0 \n",
+ " 43.0 \n",
+ " 51.0 \n",
+ " 10.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 137.0 \n",
- " 38.0 \n",
- " 48.0 \n",
- " 44.2 \n",
+ " 188.0 \n",
+ " 52.0 \n",
+ " 64.0 \n",
+ " 44.8 \n",
" \n",
" \n",
"\n",
@@ -2633,92 +2723,92 @@
],
"text/plain": [
" team players_used possession games games_starts minutes \\\n",
- "0 vs Atalanta 20.0 48.3 3.0 33.0 270.0 \n",
- "1 vs Bologna 20.0 44.7 3.0 33.0 270.0 \n",
- "2 vs Cagliari 19.0 65.0 3.0 33.0 270.0 \n",
- "3 vs Empoli 26.0 52.0 3.0 33.0 270.0 \n",
- "4 vs Fiorentina 21.0 37.7 3.0 33.0 270.0 \n",
- "5 vs Frosinone 21.0 54.0 3.0 33.0 270.0 \n",
- "6 vs Genoa 18.0 67.0 3.0 33.0 270.0 \n",
- "7 vs Hellas Verona 19.0 55.3 3.0 33.0 270.0 \n",
- "8 vs Inter 18.0 48.7 3.0 33.0 270.0 \n",
- "9 vs Juventus 21.0 47.0 3.0 33.0 270.0 \n",
- "10 vs Lazio 19.0 46.7 3.0 33.0 270.0 \n",
- "11 vs Lecce 18.0 55.0 3.0 33.0 270.0 \n",
- "12 vs Milan 18.0 46.0 3.0 33.0 270.0 \n",
- "13 vs Monza 21.0 44.7 3.0 33.0 270.0 \n",
- "14 vs Napoli 18.0 39.7 3.0 33.0 270.0 \n",
- "15 vs Roma 21.0 41.7 3.0 33.0 270.0 \n",
- "16 vs Salernitana 21.0 50.0 3.0 33.0 270.0 \n",
- "17 vs Sassuolo 22.0 57.0 3.0 33.0 270.0 \n",
- "18 vs Torino 20.0 46.3 3.0 33.0 270.0 \n",
- "19 vs Udinese 18.0 53.3 3.0 33.0 270.0 \n",
+ "0 vs Atalanta 23.0 50.5 4.0 44.0 360.0 \n",
+ "1 vs Bologna 22.0 43.5 4.0 44.0 360.0 \n",
+ "2 vs Cagliari 21.0 62.3 4.0 44.0 360.0 \n",
+ "3 vs Empoli 27.0 52.3 4.0 44.0 360.0 \n",
+ "4 vs Fiorentina 22.0 39.0 4.0 44.0 360.0 \n",
+ "5 vs Frosinone 23.0 51.8 4.0 44.0 360.0 \n",
+ "6 vs Genoa 19.0 66.8 4.0 44.0 360.0 \n",
+ "7 vs Hellas Verona 21.0 56.5 4.0 44.0 360.0 \n",
+ "8 vs Inter 19.0 51.3 4.0 44.0 360.0 \n",
+ "9 vs Juventus 21.0 51.3 4.0 44.0 360.0 \n",
+ "10 vs Lazio 20.0 44.0 4.0 44.0 360.0 \n",
+ "11 vs Lecce 19.0 56.5 4.0 44.0 360.0 \n",
+ "12 vs Milan 19.0 44.8 4.0 44.0 360.0 \n",
+ "13 vs Monza 22.0 43.3 4.0 44.0 360.0 \n",
+ "14 vs Napoli 19.0 38.3 4.0 44.0 360.0 \n",
+ "15 vs Roma 23.0 43.0 4.0 44.0 360.0 \n",
+ "16 vs Salernitana 21.0 48.5 4.0 44.0 360.0 \n",
+ "17 vs Sassuolo 24.0 56.5 4.0 44.0 360.0 \n",
+ "18 vs Torino 22.0 48.8 4.0 44.0 360.0 \n",
+ "19 vs Udinese 22.0 51.5 4.0 44.0 360.0 \n",
"\n",
" goals assists pens_made pens_att ... fouls fouled offsides \\\n",
- "0 2.0 2.0 0.0 0.0 ... 28.0 33.0 2.0 \n",
- "1 4.0 4.0 0.0 0.0 ... 32.0 30.0 7.0 \n",
- "2 4.0 3.0 0.0 1.0 ... 27.0 29.0 4.0 \n",
- "3 5.0 3.0 0.0 1.0 ... 45.0 38.0 6.0 \n",
- "4 7.0 6.0 1.0 1.0 ... 42.0 36.0 3.0 \n",
- "5 4.0 3.0 0.0 0.0 ... 41.0 31.0 4.0 \n",
- "6 5.0 4.0 0.0 0.0 ... 35.0 31.0 6.0 \n",
- "7 4.0 2.0 1.0 1.0 ... 37.0 47.0 6.0 \n",
- "8 0.0 0.0 0.0 0.0 ... 34.0 30.0 3.0 \n",
- "9 1.0 1.0 0.0 0.0 ... 39.0 36.0 5.0 \n",
- "10 4.0 2.0 0.0 0.0 ... 36.0 31.0 6.0 \n",
- "11 3.0 3.0 0.0 0.0 ... 47.0 43.0 4.0 \n",
- "12 2.0 2.0 0.0 0.0 ... 40.0 31.0 5.0 \n",
- "13 5.0 5.0 0.0 0.0 ... 26.0 35.0 6.0 \n",
- "14 3.0 2.0 1.0 1.0 ... 33.0 33.0 6.0 \n",
- "15 6.0 4.0 1.0 1.0 ... 41.0 36.0 2.0 \n",
- "16 5.0 4.0 1.0 1.0 ... 48.0 34.0 2.0 \n",
- "17 5.0 4.0 1.0 2.0 ... 35.0 25.0 10.0 \n",
- "18 4.0 2.0 2.0 2.0 ... 32.0 33.0 5.0 \n",
- "19 4.0 3.0 1.0 1.0 ... 31.0 41.0 7.0 \n",
+ "0 5.0 4.0 0.0 0.0 ... 36.0 47.0 2.0 \n",
+ "1 4.0 4.0 0.0 0.0 ... 50.0 40.0 12.0 \n",
+ "2 4.0 3.0 0.0 1.0 ... 38.0 41.0 5.0 \n",
+ "3 11.0 8.0 1.0 2.0 ... 60.0 42.0 8.0 \n",
+ "4 9.0 8.0 1.0 1.0 ... 56.0 43.0 5.0 \n",
+ "5 6.0 5.0 0.0 0.0 ... 50.0 39.0 6.0 \n",
+ "6 7.0 6.0 0.0 0.0 ... 43.0 43.0 9.0 \n",
+ "7 4.0 2.0 1.0 1.0 ... 47.0 63.0 7.0 \n",
+ "8 1.0 1.0 0.0 0.0 ... 47.0 44.0 5.0 \n",
+ "9 2.0 2.0 0.0 0.0 ... 52.0 49.0 5.0 \n",
+ "10 7.0 5.0 0.0 0.0 ... 49.0 44.0 7.0 \n",
+ "11 4.0 4.0 0.0 0.0 ... 64.0 53.0 5.0 \n",
+ "12 7.0 6.0 1.0 1.0 ... 56.0 43.0 7.0 \n",
+ "13 6.0 5.0 1.0 1.0 ... 37.0 52.0 6.0 \n",
+ "14 5.0 4.0 1.0 1.0 ... 47.0 39.0 7.0 \n",
+ "15 6.0 4.0 1.0 1.0 ... 46.0 51.0 4.0 \n",
+ "16 8.0 5.0 1.0 1.0 ... 64.0 46.0 4.0 \n",
+ "17 9.0 6.0 2.0 3.0 ... 45.0 34.0 15.0 \n",
+ "18 4.0 2.0 2.0 2.0 ... 44.0 48.0 7.0 \n",
+ "19 4.0 3.0 1.0 1.0 ... 43.0 51.0 10.0 \n",
"\n",
" pens_won pens_conceded own_goals ball_recoveries aerials_won \\\n",
- "0 0.0 0.0 0.0 157.0 44.0 \n",
- "1 0.0 1.0 0.0 157.0 23.0 \n",
- "2 0.0 0.0 0.0 165.0 44.0 \n",
- "3 1.0 0.0 0.0 152.0 42.0 \n",
- "4 1.0 0.0 0.0 142.0 38.0 \n",
- "5 0.0 1.0 0.0 168.0 46.0 \n",
- "6 0.0 0.0 0.0 148.0 32.0 \n",
- "7 1.0 0.0 0.0 138.0 54.0 \n",
- "8 0.0 1.0 0.0 128.0 24.0 \n",
- "9 0.0 2.0 0.0 134.0 22.0 \n",
- "10 0.0 0.0 0.0 155.0 39.0 \n",
- "11 0.0 1.0 0.0 150.0 33.0 \n",
- "12 0.0 3.0 0.0 145.0 34.0 \n",
- "13 0.0 0.0 0.0 144.0 37.0 \n",
- "14 1.0 2.0 0.0 124.0 19.0 \n",
- "15 1.0 0.0 0.0 114.0 45.0 \n",
- "16 0.0 0.0 0.0 151.0 68.0 \n",
- "17 1.0 1.0 0.0 159.0 40.0 \n",
- "18 1.0 0.0 0.0 151.0 46.0 \n",
- "19 0.0 0.0 0.0 137.0 38.0 \n",
+ "0 0.0 0.0 0.0 212.0 65.0 \n",
+ "1 0.0 1.0 0.0 207.0 34.0 \n",
+ "2 0.0 0.0 0.0 220.0 60.0 \n",
+ "3 1.0 0.0 0.0 203.0 54.0 \n",
+ "4 1.0 0.0 0.0 202.0 56.0 \n",
+ "5 0.0 2.0 0.0 212.0 53.0 \n",
+ "6 0.0 0.0 0.0 200.0 46.0 \n",
+ "7 1.0 0.0 0.0 190.0 71.0 \n",
+ "8 0.0 2.0 0.0 163.0 30.0 \n",
+ "9 0.0 2.0 0.0 173.0 26.0 \n",
+ "10 0.0 0.0 0.0 196.0 51.0 \n",
+ "11 0.0 2.0 0.0 203.0 43.0 \n",
+ "12 1.0 3.0 0.0 176.0 42.0 \n",
+ "13 1.0 0.0 0.0 187.0 45.0 \n",
+ "14 1.0 2.0 0.0 173.0 35.0 \n",
+ "15 1.0 1.0 1.0 159.0 54.0 \n",
+ "16 0.0 0.0 0.0 203.0 86.0 \n",
+ "17 2.0 1.0 0.0 207.0 50.0 \n",
+ "18 1.0 0.0 0.0 207.0 63.0 \n",
+ "19 0.0 0.0 0.0 188.0 52.0 \n",
"\n",
" aerials_lost aerials_won_pct \n",
- "0 42.0 51.2 \n",
- "1 29.0 44.2 \n",
- "2 37.0 54.3 \n",
- "3 30.0 58.3 \n",
- "4 32.0 54.3 \n",
- "5 42.0 52.3 \n",
- "6 44.0 42.1 \n",
- "7 71.0 43.2 \n",
- "8 36.0 40.0 \n",
- "9 26.0 45.8 \n",
- "10 26.0 60.0 \n",
- "11 46.0 41.8 \n",
- "12 27.0 55.7 \n",
- "13 27.0 57.8 \n",
- "14 33.0 36.5 \n",
- "15 64.0 41.3 \n",
- "16 37.0 64.8 \n",
- "17 30.0 57.1 \n",
- "18 41.0 52.9 \n",
- "19 48.0 44.2 \n",
+ "0 60.0 52.0 \n",
+ "1 46.0 42.5 \n",
+ "2 51.0 54.1 \n",
+ "3 39.0 58.1 \n",
+ "4 53.0 51.4 \n",
+ "5 52.0 50.5 \n",
+ "6 60.0 43.4 \n",
+ "7 82.0 46.4 \n",
+ "8 44.0 40.5 \n",
+ "9 38.0 40.6 \n",
+ "10 30.0 63.0 \n",
+ "11 54.0 44.3 \n",
+ "12 33.0 56.0 \n",
+ "13 37.0 54.9 \n",
+ "14 47.0 42.7 \n",
+ "15 76.0 41.5 \n",
+ "16 54.0 61.4 \n",
+ "17 37.0 57.5 \n",
+ "18 59.0 51.6 \n",
+ "19 64.0 44.8 \n",
"\n",
"[20 rows x 152 columns]"
]
diff --git a/2_votes_dataset_creation.ipynb b/2_votes_dataset_creation.ipynb
index 25e29c8..03e0593 100644
--- a/2_votes_dataset_creation.ipynb
+++ b/2_votes_dataset_creation.ipynb
@@ -191,7 +191,8 @@
"text": [
"loaded votes for matchday 1\n",
"loaded votes for matchday 2\n",
- "loaded votes for matchday 3\n"
+ "loaded votes for matchday 3\n",
+ "loaded votes for matchday 4\n"
]
}
],
@@ -373,103 +374,103 @@
" ... \n",
" \n",
" \n",
- " 859 \n",
- " 3 \n",
- " Folorunsho \n",
- " Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.0 \n",
- " \n",
- " \n",
- " 860 \n",
- " 3 \n",
+ " 1154 \n",
+ " 4 \n",
" Serdar \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.5 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
" 0 \n",
" 0 \n",
- " 0.0 \n",
+ " 0.5 \n",
" 5.5 \n",
" \n",
" \n",
- " 861 \n",
- " 3 \n",
+ " 1155 \n",
+ " 4 \n",
+ " Suslov \n",
+ " Verona \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.5 \n",
+ " 5.5 \n",
+ " \n",
+ " \n",
+ " 1156 \n",
+ " 4 \n",
" Bonazzoli \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.5 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
" 0 \n",
" 0 \n",
" 0.0 \n",
- " 5.5 \n",
+ " 6.0 \n",
" \n",
" \n",
- " 862 \n",
- " 3 \n",
+ " 1157 \n",
+ " 4 \n",
" Djuric \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 6.0 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 5.5 \n",
" 0 \n",
" 0 \n",
" 0.0 \n",
- " 6.0 \n",
+ " 5.5 \n",
" \n",
" \n",
- " 863 \n",
- " 3 \n",
+ " 1158 \n",
+ " 4 \n",
" Ngonge \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 6.5 \n",
+ " Bologna \n",
" 1 \n",
+ " 5.5 \n",
+ " 0 \n",
" 0 \n",
" 0.0 \n",
- " 9.5 \n",
+ " 5.5 \n",
" \n",
" \n",
"\n",
- "864 rows × 10 columns
\n",
+ "1159 rows × 10 columns
\n",
""
],
"text/plain": [
- " matchday player team oppteam home vote goals assists \\\n",
- "0 1 Musso Atalanta Sassuolo 0 6.5 0 0 \n",
- "1 1 Zappacosta Atalanta Sassuolo 0 6.5 0 0 \n",
- "2 1 Djimsiti Atalanta Sassuolo 0 6.0 0 0 \n",
- "3 1 Kolasinac Atalanta Sassuolo 0 6.5 0 0 \n",
- "4 1 Zortea Atalanta Sassuolo 0 7.0 1 0 \n",
- ".. ... ... ... ... ... ... ... ... \n",
- "859 3 Folorunsho Verona Sassuolo 0 5.0 0 0 \n",
- "860 3 Serdar Verona Sassuolo 0 5.5 0 0 \n",
- "861 3 Bonazzoli Verona Sassuolo 0 5.5 0 0 \n",
- "862 3 Djuric Verona Sassuolo 0 6.0 0 0 \n",
- "863 3 Ngonge Verona Sassuolo 0 6.5 1 0 \n",
+ " matchday player team oppteam home vote goals assists \\\n",
+ "0 1 Musso Atalanta Sassuolo 0 6.5 0 0 \n",
+ "1 1 Zappacosta Atalanta Sassuolo 0 6.5 0 0 \n",
+ "2 1 Djimsiti Atalanta Sassuolo 0 6.0 0 0 \n",
+ "3 1 Kolasinac Atalanta Sassuolo 0 6.5 0 0 \n",
+ "4 1 Zortea Atalanta Sassuolo 0 7.0 1 0 \n",
+ "... ... ... ... ... ... ... ... ... \n",
+ "1154 4 Serdar Verona Bologna 1 6.0 0 0 \n",
+ "1155 4 Suslov Verona Bologna 1 6.0 0 0 \n",
+ "1156 4 Bonazzoli Verona Bologna 1 6.0 0 0 \n",
+ "1157 4 Djuric Verona Bologna 1 5.5 0 0 \n",
+ "1158 4 Ngonge Verona Bologna 1 5.5 0 0 \n",
"\n",
- " cards_malus fantavote \n",
- "0 0.0 6.5 \n",
- "1 0.0 6.5 \n",
- "2 0.0 6.0 \n",
- "3 0.0 6.5 \n",
- "4 0.0 10.0 \n",
- ".. ... ... \n",
- "859 0.0 5.0 \n",
- "860 0.0 5.5 \n",
- "861 0.0 5.5 \n",
- "862 0.0 6.0 \n",
- "863 0.0 9.5 \n",
+ " cards_malus fantavote \n",
+ "0 0.0 6.5 \n",
+ "1 0.0 6.5 \n",
+ "2 0.0 6.0 \n",
+ "3 0.0 6.5 \n",
+ "4 0.0 10.0 \n",
+ "... ... ... \n",
+ "1154 0.5 5.5 \n",
+ "1155 0.5 5.5 \n",
+ "1156 0.0 6.0 \n",
+ "1157 0.0 5.5 \n",
+ "1158 0.0 5.5 \n",
"\n",
- "[864 rows x 10 columns]"
+ "[1159 rows x 10 columns]"
]
},
"execution_count": 5,
diff --git a/3_players_dataset_creation.ipynb b/3_players_dataset_creation.ipynb
index 1604a15..dfc64dd 100644
--- a/3_players_dataset_creation.ipynb
+++ b/3_players_dataset_creation.ipynb
@@ -14,7 +14,7 @@
},
{
"cell_type": "code",
- "execution_count": 31,
+ "execution_count": 1,
"id": "7c65df92",
"metadata": {},
"outputs": [],
@@ -34,7 +34,7 @@
},
{
"cell_type": "code",
- "execution_count": 32,
+ "execution_count": 2,
"id": "b2d7073e",
"metadata": {},
"outputs": [],
@@ -48,7 +48,7 @@
},
{
"cell_type": "code",
- "execution_count": 33,
+ "execution_count": 3,
"id": "667970f6",
"metadata": {},
"outputs": [
@@ -80,82 +80,82 @@
" \n",
" \n",
" 0 \n",
+ " Francesco Acerbi \n",
+ " Inter \n",
+ " \n",
+ " \n",
+ " 1 \n",
" Michel Aebischer \n",
" Bologna \n",
" \n",
" \n",
- " 1 \n",
+ " 2 \n",
" Luis Alberto \n",
" Lazio \n",
" \n",
" \n",
- " 2 \n",
+ " 3 \n",
" Pontus Almqvist \n",
" Lecce \n",
" \n",
" \n",
- " 3 \n",
+ " 4 \n",
" Lorenzo Amatucci \n",
" Fiorentina \n",
" \n",
" \n",
- " 4 \n",
- " Bruno Amione \n",
- " Hellas Verona \n",
- " \n",
- " \n",
" ... \n",
" ... \n",
" ... \n",
" \n",
" \n",
- " 419 \n",
- " Łukasz Skorupski \n",
- " Bologna \n",
- " \n",
- " \n",
- " 420 \n",
+ " 452 \n",
" Yann Sommer \n",
" Inter \n",
" \n",
" \n",
- " 421 \n",
+ " 453 \n",
+ " Alessandro Sorrentino \n",
+ " Monza \n",
+ " \n",
+ " \n",
+ " 454 \n",
" Wojciech Szczęsny \n",
" Juventus \n",
" \n",
" \n",
- " 422 \n",
+ " 455 \n",
" Pietro Terracciano \n",
" Fiorentina \n",
" \n",
" \n",
- " 423 \n",
+ " 456 \n",
" Stefano Turati \n",
" Frosinone \n",
" \n",
" \n",
"\n",
- "424 rows × 2 columns
\n",
+ "457 rows × 2 columns
\n",
""
],
"text/plain": [
- " player team\n",
- "0 Michel Aebischer Bologna\n",
- "1 Luis Alberto Lazio\n",
- "2 Pontus Almqvist Lecce\n",
- "3 Lorenzo Amatucci Fiorentina\n",
- "4 Bruno Amione Hellas Verona\n",
- ".. ... ...\n",
- "419 Łukasz Skorupski Bologna\n",
- "420 Yann Sommer Inter\n",
- "421 Wojciech Szczęsny Juventus\n",
- "422 Pietro Terracciano Fiorentina\n",
- "423 Stefano Turati Frosinone\n",
+ " player team\n",
+ "0 Francesco Acerbi Inter\n",
+ "1 Michel Aebischer Bologna\n",
+ "2 Luis Alberto Lazio\n",
+ "3 Pontus Almqvist Lecce\n",
+ "4 Lorenzo Amatucci Fiorentina\n",
+ ".. ... ...\n",
+ "452 Yann Sommer Inter\n",
+ "453 Alessandro Sorrentino Monza\n",
+ "454 Wojciech Szczęsny Juventus\n",
+ "455 Pietro Terracciano Fiorentina\n",
+ "456 Stefano Turati Frosinone\n",
"\n",
- "[424 rows x 2 columns]"
+ "[457 rows x 2 columns]"
]
},
- "execution_count": 33,
+ "execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
@@ -170,7 +170,7 @@
},
{
"cell_type": "code",
- "execution_count": 34,
+ "execution_count": 4,
"id": "e1e64596",
"metadata": {},
"outputs": [],
@@ -185,7 +185,7 @@
},
{
"cell_type": "code",
- "execution_count": 35,
+ "execution_count": 5,
"id": "3078d6f3",
"metadata": {},
"outputs": [],
@@ -203,7 +203,7 @@
},
{
"cell_type": "code",
- "execution_count": 36,
+ "execution_count": 6,
"id": "ffd6091c",
"metadata": {},
"outputs": [
@@ -212,430 +212,463 @@
"output_type": "stream",
"text": [
" player surname\n",
- "0 Michel Aebischer Aebischer\n",
- "1 Luis Alberto Alberto\n",
- "2 Pontus Almqvist Almqvist\n",
- "3 Lorenzo Amatucci Amatucci\n",
- "4 Bruno Amione Amione\n",
- "5 Felipe Anderson Anderson\n",
- "6 Houssem Aouar Aouar\n",
- "7 Marko Arnautović Arnautovic\n",
- "8 Kristjan Asllani Asllani\n",
- "9 Tommaso Augello Augello\n",
- "10 Yann Aurel Bisseck Bisseck\n",
- "11 Paulo Azzi Azzi\n",
- "12 Oussama El Azzouzi Azzouzi\n",
- "13 Milan Badelj Badelj\n",
- "14 Jaime Báez Baez\n",
- "15 Nedim Bajrami Bajrami\n",
- "16 Mitchel Bakker Bakker\n",
- "17 Tommaso Baldanzi Baldanzi\n",
- "18 Lameck Banda Banda\n",
- "19 Mattia Bani Bani\n",
- "20 Nicolò Barella Barella\n",
- "21 Enzo Barrenechea Barrenechea\n",
- "22 Federico Baschirotto Baschirotto\n",
- "23 Alessandro Bastoni Bastoni\n",
- "24 Raoul Bellanova Bellanova\n",
- "25 Andrea Belotti Belotti\n",
- "26 Lucas Beltrán Beltran\n",
- "27 Domenico Berardi Berardi\n",
- "28 Bartosz Bereszyński Bereszynski\n",
- "29 Etrit Berisha Berisha\n",
- "30 Victor Bernth Kristiansen Kristiansen\n",
- "31 Beto Beto\n",
- "32 Sam Beukema Beukema\n",
- "33 Jaka Bijol Bijol\n",
- "34 Cristiano Biraghi Biraghi\n",
- "35 Davide Biraschi Biraschi\n",
- "36 Samuele Birindelli Birindelli\n",
- "37 Alexis Blin Blin\n",
- "38 Emil Bohinen Bohinen\n",
- "39 Daniel Boloca Boloca\n",
- "40 Giacomo Bonaventura Bonaventura\n",
- "41 Federico Bonazzoli Bonazzoli\n",
- "42 Warren Bondo Bondo\n",
- "43 Gennaro Borrelli Borrelli\n",
- "44 Erik Botheim Botheim\n",
- "45 Edoardo Bove Bove\n",
- "46 Domagoj Bradarić Bradaric\n",
- "47 Josip Brekalo Brekalo\n",
- "48 Gleison Bremer Bremer\n",
- "49 Marco Brescianini Brescianini\n",
- "50 Alessandro Buongiorno Buongiorno\n",
- "51 Rareș-Cătălin Burnete Burnete\n",
- "52 Juan Cabal Cabal\n",
- "53 Jovane Cabral Cabral\n",
- "54 Liberato Cacace Cacace\n",
- "55 Jens Cajuste Cajuste\n",
- "56 Davide Calabria Calabria\n",
- "57 Luca Caldirola Caldirola\n",
- "58 Hakan Çalhanoğlu Calhanoglu\n",
- "59 Nicolò Cambiaghi Cambiaghi\n",
- "60 Andrea Cambiaso Cambiaso\n",
- "61 Matteo Cancellieri Cancellieri\n",
- "62 Antonio Candreva Candreva\n",
- "63 Luigi Canotto Canotto\n",
- "64 Gianluca Caprari Caprari\n",
- "65 Elia Caprile Caprile\n",
- "66 Francesco Caputo Caputo\n",
- "67 Andrea Carboni Carboni\n",
- "68 Valentin Carboni Carboni\n",
- "69 Carlos Carlos\n",
- "70 Nicolò Casale Casale\n",
- "71 Giuseppe Caso Caso\n",
- "72 Valentín Castellanos Castellanos\n",
- "73 Danilo Cataldi Cataldi\n",
- "74 Emil Ceide Ceide\n",
- "75 Zeki Çelik Celik\n",
- "76 Michele Cerofolini Cerofolini\n",
- "77 Walid Cheddira Cheddira\n",
- "78 Federico Chiesa Chiesa\n",
- "79 Oliver Christensen Christensen\n",
- "80 Samuel Chukwueze Chukwueze\n",
- "81 Patrick Ciurria Ciurria\n",
- "82 Lorenzo Colombo Colombo\n",
- "83 Andrea Colpani Colpani\n",
- "84 Andrea Consigli Consigli\n",
- "85 Diego Coppola Coppola\n",
- "86 Tommaso Corazza Corazza\n",
- "87 Lassana Coulibaly Coulibaly\n",
- "88 Mamadou Coulibaly Coulibaly\n",
- "89 Bryan Cristante Cristante\n",
- "90 Juan Cuadrado Cuadrado\n",
- "91 Marvin Cuni Cuni\n",
- "92 Danilo D'Ambrosio DAmbrosio\n",
- "93 Danilo Danilo\n",
- "94 Matteo Darmian Darmian\n",
- "95 Paweł Dawidowicz Dawidowicz\n",
- "96 Charles De Ketelaere Ketelaere\n",
- "97 Lorenzo De Silvestri Silvestri\n",
- "98 Grégoire Defrel Defrel\n",
- "99 Alessandro Deiola Deiola\n",
- "100 Mattia Destro Destro\n",
- "101 Federico Di Francesco Francesco\n",
- "102 Michele Di Gregorio Gregorio\n",
- "103 Giovanni Di Lorenzo Lorenzo\n",
- "104 Alessandro Di Pardo Pardo\n",
- "105 Boulaye Dia Dia\n",
- "106 Federico Dimarco Dimarco\n",
- "107 Berat Djimsiti Djimsiti\n",
- "108 Dodô Dodo\n",
- "109 Josh Doig Doig\n",
- "110 Nicolás Domínguez Dominguez\n",
- "111 Patrick Dorgu Dorgu\n",
- "112 Alberto Dossena Dossena\n",
- "113 Radu Drăgușin Dragusin\n",
- "114 Ondrej Duda Duda\n",
- "115 Denzel Dumfries Dumfries\n",
- "116 Alfred Duncan Duncan\n",
- "117 Paulo Dybala Dybala\n",
- "118 Festy Ebosele Ebosele\n",
- "119 Tyronne Ebuehi Ebuehi\n",
- "120 Éderson Ederson\n",
- "121 Emmanuel Ekong Ekong\n",
- "122 Caleb Ekuban Ekuban\n",
- "123 Elif Elmas Elmas\n",
- "124 Martin Erlic Erlic\n",
- "125 Giovanni Fabbian Fabbian\n",
- "126 Nicolò Fagioli Fagioli\n",
- "127 Wladimiro Falcone Falcone\n",
- "128 Davide Faraoni Faraoni\n",
- "129 Federico Fazio Fazio\n",
- "130 Jacopo Fazzini Fazzini\n",
- "131 Lewis Ferguson Ferguson\n",
- "132 João Ferreira Ferreira\n",
- "133 Alessandro Florenzi Florenzi\n",
- "134 Michael Folorunsho Folorunsho\n",
- "135 Davide Frattesi Frattesi\n",
- "136 Morten Frendrup Frendrup\n",
- "137 Roberto Gagliardini Gagliardini\n",
- "138 Antonino Gallo Gallo\n",
- "139 Luca Garritano Garritano\n",
- "140 Federico Gatti Gatti\n",
- "141 Francesco Gelli Gelli\n",
- "142 Valentin Gendrey Gendrey\n",
- "143 Olivier Giroud Giroud\n",
- "144 Edoardo Goldaniga Goldaniga\n",
- "145 Joan Gonzàlez Gonzalez\n",
- "146 Nicolás González Gonzalez\n",
- "147 Alberto Grassi Grassi\n",
- "148 Mattéo Guendouzi Guendouzi\n",
- "149 Albert Guðmundsson Gumundsson\n",
- "150 Emmanuel Gyasi Gyasi\n",
- "151 Norbert Gyömbér Gyomber\n",
- "152 Nicolas Haas Haas\n",
- "153 Abdou Harroui Harroui\n",
- "154 Silvan Hefti Hefti\n",
- "155 Liam Henderson Henderson\n",
- "156 Matheus Henrique Henrique\n",
- "157 Theo Hernández Hernandez\n",
- "158 Isak Hien Hien\n",
- "159 Emil Holm Holm\n",
- "160 Martin Hongla Hongla\n",
- "161 Sydney van Hooijdonk Hooijdonk\n",
- "162 Elseid Hysaj Hysaj\n",
- "163 Chukwubuikem Ikwuemesi Ikwuemesi\n",
- "164 Ivan Ilić Ilic\n",
- "165 Samuel Iling-Junior Iling-Junior\n",
- "166 Ciro Immobile Immobile\n",
- "167 Gino Infantino Infantino\n",
- "168 Gustav Isaksen Isaksen\n",
- "169 Ardian Ismajli Ismajli\n",
- "170 Armando Izzo Izzo\n",
- "171 Filip Jagiełło Jagieo\n",
- "172 Jakub Jankto Jankto\n",
- "173 Juan Jesus Jesus\n",
- "174 Mohamed Kaba Kaba\n",
- "175 Christian Kabasele Kabasele\n",
- "176 Pierre Kalulu Kalulu\n",
- "177 Daichi Kamada Kamada\n",
- "178 Hassane Kamara Kamara\n",
- "179 Yann Karamoh Karamoh\n",
- "180 Jesper Karlsson Karlsson\n",
- "181 Rick Karsdorp Karsdorp\n",
- "182 Grigoris Kastanos Kastanos\n",
- "183 Michael Kayode Kayode\n",
- "184 Moise Kean Kean\n",
- "185 Simon Kjær Kjr\n",
- "186 Sead Kolašinac Kolasinac\n",
- "187 Teun Koopmeiners Koopmeiners\n",
- "188 Filip Kostić Kostic\n",
- "189 Christian Kouamé Kouame\n",
- "190 Viktor Kovalenko Kovalenko\n",
- "191 Nikola Krstović Krstovic\n",
- "192 Rade Krunić Krunic\n",
- "193 Berkan Kutlu Kutlu\n",
- "194 Khvicha Kvaratskhelia Kvaratskhelia\n",
- "195 Giorgi Kvernadze Kvernadze\n",
- "196 Giorgos Kyriakopoulos Kyriakopoulos\n",
- "197 Armand Lauriente Lauriente\n",
- "198 Valentino Lazaro Lazaro\n",
- "199 Manuel Lazzari Lazzari\n",
- "200 Rafael Leão Leao\n",
- "201 Jesper Lindstrøm Lindstrm\n",
- "202 Karol Linetty Linetty\n",
- "203 Diego Llorente Llorente\n",
- "204 Stanislav Lobotka Lobotka\n",
- "205 Manuel Locatelli Locatelli\n",
- "206 Ruben Loftus-Cheek Loftus-Cheek\n",
- "207 Ademola Lookman Lookman\n",
- "208 Maxime Lopez Lopez\n",
- "209 Matteo Lovato Lovato\n",
- "210 Sandi Lovrić Lovric\n",
- "211 Lorenzo Lucca Lucca\n",
- "212 Jhon Lucumí Lucumi\n",
- "213 José Luis Palomino Palomino\n",
- "214 Romelu Lukaku Lukaku\n",
- "215 Sebastiano Luperto Luperto\n",
- "216 Charalambos Lykogiannis Lykogiannis\n",
- "217 Giulio Maggiore Maggiore\n",
- "218 Giangiacomo Magnani Magnani\n",
- "219 Mike Maignan Maignan\n",
- "220 Antoine Makoumbou Makoumbou\n",
- "221 Youssef Maleh Maleh\n",
- "222 Ruslan Malinovskyi Malinovskyi\n",
- "223 Gianluca Mancini Mancini\n",
- "224 Rolando Mandragora Mandragora\n",
- "225 Riccardo Marchizza Marchizza\n",
- "226 Pablo Marí Mari\n",
- "227 Mirko Marić Maric\n",
- "228 Răzvan Marin Marin\n",
- "229 Agustín Martegani Martegani\n",
- "230 Aarón Martín Martin\n",
- "231 Josep Martinez Martinez\n",
- "232 Lautaro Martínez Martinez\n",
- "233 Lucas Martínez Quarta Quarta\n",
- "234 Adam Marušić Marusic\n",
- "235 Luca Mazzitelli Mazzitelli\n",
- "236 Pasquale Mazzocchi Mazzocchi\n",
- "237 Jordi Mboula Mboula\n",
- "238 Weston McKennie McKennie\n",
- "239 Arthur Melo Melo\n",
- "240 Alex Meret Meret\n",
- "241 Nikola Milenković Milenkovic\n",
- "242 Arkadiusz Milik Milik\n",
- "243 Vanja Milinković-Savić Milinkovic-Savic\n",
- "244 Kevin Miranda Miranda\n",
- "245 Fabio Miretti Miretti\n",
- "246 Filippo Missori Missori\n",
- "247 Henrikh Mkhitaryan Mkhitaryan\n",
- "248 Ilario Monterisi Monterisi\n",
- "249 Lorenzo Montipò Montipo\n",
- "250 Nikola Moro Moro\n",
- "251 Dany Mota Mota\n",
- "252 Samuele Mulattieri Mulattieri\n",
- "253 Luis Muriel Muriel\n",
- "254 Yunus Musah Musah\n",
- "255 Juan Musso Musso\n",
- "256 Nahitan Nández Nandez\n",
- "257 Michel Ndary Adopo Adopo\n",
- "258 Dan Ndoye Ndoye\n",
- "259 Cyril Ngonge Ngonge\n",
- "260 Rasmus Nissen Nissen\n",
- "261 M'Bala Nzola Nzola\n",
- "262 Adam Obert Obert\n",
- "263 Guillermo Ochoa Ochoa\n",
- "264 Noah Okafor Okafor\n",
- "265 Mathías Olivera Olivera\n",
- "266 Gaetano Oristanio Oristanio\n",
- "267 Riccardo Orsolini Orsolini\n",
- "268 Victor Osimhen Osimhen\n",
- "269 Anthony Oyono Oyono\n",
- "270 Riccardo Pagano Pagano\n",
- "271 Leandro Paredes Paredes\n",
- "272 Fabiano Parisi Parisi\n",
- "273 Mario Pašalić Pasalic\n",
- "274 Patric Patric\n",
- "275 Rui Patrício Patricio\n",
- "276 Leonardo Pavoletti Pavoletti\n",
- "277 Marcus Pedersen Pedersen\n",
- "278 Pedro Pedro\n",
- "279 Pietro Pellegri Pellegri\n",
- "280 Lorenzo Pellegrini Pellegrini\n",
- "281 Luca Pellegrini Pellegrini\n",
- "282 Pepín Pepin\n",
- "283 Pedro Pereira Pereira\n",
- "284 Nehuén Pérez Perez\n",
- "285 Mattia Perin Perin\n",
- "286 Samuele Perisan Perisan\n",
- "287 Matteo Pessina Pessina\n",
- "288 Andrea Petagna Petagna\n",
- "289 Giuseppe Pezzella Pezzella\n",
- "290 Roberto Piccoli Piccoli\n",
- "291 Roberto Piccoli Piccoli\n",
- "292 Andrea Pinamonti Pinamonti\n",
- "293 Lorenzo Pirola Pirola\n",
- "294 Tommaso Pobega Pobega\n",
- "295 Paul Pogba Pogba\n",
- "296 Matteo Politano Politano\n",
- "297 Marin Pongračić Pongracic\n",
- "298 Stefan Posch Posch\n",
- "299 Ivan Provedel Provedel\n",
- "300 Christian Pulisic Pulisic\n",
- "301 Domingos Quina Quina\n",
- "302 Adrien Rabiot Rabiot\n",
- "303 Uroš Račić Racic\n",
- "304 Nemanja Radonjić Radonjic\n",
- "305 Boris Radunović Radunovic\n",
- "306 Hamza Rafia Rafia\n",
- "307 Ylber Ramadani Ramadani\n",
- "308 Luca Ranieri Ranieri\n",
- "309 Giacomo Raspadori Raspadori\n",
- "310 Tijjani Reijnders Reijnders\n",
- "311 Mateo Retegui Retegui\n",
- "312 Samuele Ricci Ricci\n",
- "313 Ricardo Rodríguez Rodriguez\n",
- "314 Alessio Romagnoli Romagnoli\n",
- "315 Simone Romagnoli Romagnoli\n",
- "316 Marten de Roon Roon\n",
- "317 Amir Rrahmani Rrahmani\n",
- "318 Ruan Ruan\n",
- "319 Matteo Ruggeri Ruggeri\n",
- "320 Mário Rui Rui\n",
- "321 Stefano Sabelli Sabelli\n",
- "322 Lazar Samardzic Samardzic\n",
- "323 Junior Sambia Sambia\n",
- "324 Antonio Sanabria Sanabria\n",
- "325 Renato Sanches Sanches\n",
- "326 Alex Sandro Sandro\n",
- "327 Riccardo Saponara Saponara\n",
- "328 Giorgio Scalvini Scalvini\n",
- "329 Gianluca Scamacca Scamacca\n",
- "330 Perr Schuurs Schuurs\n",
- "331 Demba Seck Seck\n",
- "332 Vivaldo Semedo Semedo\n",
- "333 Stefano Sensi Sensi\n",
- "334 Suat Serdar Serdar\n",
- "335 Stephan El Shaarawy Shaarawy\n",
- "336 Eldor Shomurodov Shomurodov\n",
- "337 Steven Shpendi Shpendi\n",
- "338 Marco Silvestri Silvestri\n",
- "339 Giovanni Simeone Simeone\n",
- "340 Leo Skiri Østigård stigard\n",
- "341 Łukasz Skorupski Skorupski\n",
- "342 Chris Smalling Smalling\n",
- "343 Ola Solbakken Solbakken\n",
- "344 Yann Sommer Sommer\n",
- "345 Riccardo Sottil Sottil\n",
- "346 Matìas Soulé Soule\n",
- "347 Leonardo Spinazzola Spinazzola\n",
- "348 Gabriel Strefezza Strefezza\n",
- "349 Kevin Strootman Strootman\n",
- "350 Isaac Success Success\n",
- "351 Ibrahim Sulemana Sulemana\n",
- "352 Wojciech Szczęsny Szczesny\n",
- "353 Przemysław Szymiński Szyminski\n",
- "354 Adrien Tameze Tameze\n",
- "355 Loum Tchaouna Tchaouna\n",
- "356 Filippo Terracciano Terracciano\n",
- "357 Pietro Terracciano Terracciano\n",
- "358 Florian Thauvin Thauvin\n",
- "359 Malick Thiaw Thiaw\n",
- "360 Morten Thorsby Thorsby\n",
- "361 Kristian Thorstvedt Thorstvedt\n",
- "362 Marcus Thuram Thuram\n",
- "363 Jeremy Toljan Toljan\n",
- "364 Fikayo Tomori Tomori\n",
- "365 Stefano Turati Turati\n",
- "366 Kacper Urbanski Urbanski\n",
- "367 Johan Vásquez Vasquez\n",
- "368 Matías Vecino Vecino\n",
- "369 Simone Verdi Verdi\n",
- "370 Samuele Vignato Vignato\n",
- "371 Matías Viña Vina\n",
- "372 Mattia Viti Viti\n",
- "373 Dušan Vlahović Vlahovic\n",
- "374 Nikola Vlašić Vlasic\n",
- "375 Mërgim Vojvoda Vojvoda\n",
- "376 Cristian Volpato Volpato\n",
- "377 Stefan de Vrij Vrij\n",
- "378 Walace Walace\n",
- "379 Sebastian Walukiewicz Walukiewicz\n",
- "380 Timothy Weah Weah\n",
- "381 Mateusz Wieteska Wieteska\n",
- "382 Kenan Yıldız Yldz\n",
- "383 Mattia Zaccagni Zaccagni\n",
- "384 Nicola Zalewski Zalewski\n",
- "385 Andre-Frank Zambo Anguissa Anguissa\n",
- "386 Duván Zapata Zapata\n",
- "387 Duván Zapata Zapata\n",
- "388 Gabriele Zappa Zappa\n",
- "389 Davide Zappacosta Zappacosta\n",
- "390 Oier Zarraga Zarraga\n",
- "391 Jordan Zemura Zemura\n",
- "392 Piotr Zieliński Zielinski\n",
- "393 David Zima Zima\n",
- "394 Joshua Zirkzee Zirkzee\n",
- "395 Zito Zito\n",
- "396 Nadir Zortea Zortea\n",
- "397 Milan Đurić uric\n",
- "398 Mateusz Łęgowski egowski\n",
- "399 Etrit Berisha Berisha\n",
- "400 Elia Caprile Caprile\n",
- "401 Michele Cerofolini Cerofolini\n",
- "402 Oliver Christensen Christensen\n",
- "403 Andrea Consigli Consigli\n",
- "404 Michele Di Gregorio Gregorio\n",
- "405 Wladimiro Falcone Falcone\n",
- "406 Mike Maignan Maignan\n",
- "407 Josep Martinez Martinez\n",
- "408 Alex Meret Meret\n",
- "409 Vanja Milinković-Savić Milinkovic-Savic\n",
- "410 Lorenzo Montipò Montipo\n",
- "411 Juan Musso Musso\n",
- "412 Guillermo Ochoa Ochoa\n",
- "413 Rui Patrício Patricio\n",
- "414 Mattia Perin Perin\n",
- "415 Samuele Perisan Perisan\n",
- "416 Ivan Provedel Provedel\n",
- "417 Boris Radunović Radunovic\n",
- "418 Marco Silvestri Silvestri\n",
- "419 Łukasz Skorupski Skorupski\n",
- "420 Yann Sommer Sommer\n",
- "421 Wojciech Szczęsny Szczesny\n",
- "422 Pietro Terracciano Terracciano\n",
- "423 Stefano Turati Turati\n"
+ "0 Francesco Acerbi Acerbi\n",
+ "1 Michel Aebischer Aebischer\n",
+ "2 Luis Alberto Alberto\n",
+ "3 Pontus Almqvist Almqvist\n",
+ "4 Lorenzo Amatucci Amatucci\n",
+ "5 Bruno Amione Amione\n",
+ "6 Felipe Anderson Anderson\n",
+ "7 Houssem Aouar Aouar\n",
+ "8 Marko Arnautović Arnautovic\n",
+ "9 Kristjan Asllani Asllani\n",
+ "10 Tommaso Augello Augello\n",
+ "11 Yann Aurel Bisseck Bisseck\n",
+ "12 Sardar Azmoun Azmoun\n",
+ "13 Paulo Azzi Azzi\n",
+ "14 Oussama El Azzouzi Azzouzi\n",
+ "15 Milan Badelj Badelj\n",
+ "16 Jaime Báez Baez\n",
+ "17 Nedim Bajrami Bajrami\n",
+ "18 Mitchel Bakker Bakker\n",
+ "19 Tommaso Baldanzi Baldanzi\n",
+ "20 Lameck Banda Banda\n",
+ "21 Mattia Bani Bani\n",
+ "22 Antonín Barák Barak\n",
+ "23 Nicolò Barella Barella\n",
+ "24 Enzo Barrenechea Barrenechea\n",
+ "25 Federico Baschirotto Baschirotto\n",
+ "26 Alessandro Bastoni Bastoni\n",
+ "27 Simone Bastoni Bastoni\n",
+ "28 Raoul Bellanova Bellanova\n",
+ "29 Andrea Belotti Belotti\n",
+ "30 Lucas Beltrán Beltran\n",
+ "31 Domenico Berardi Berardi\n",
+ "32 Bartosz Bereszyński Bereszynski\n",
+ "33 Etrit Berisha Berisha\n",
+ "34 Victor Bernth Kristiansen Kristiansen\n",
+ "35 Beto Beto\n",
+ "36 Sam Beukema Beukema\n",
+ "37 Jaka Bijol Bijol\n",
+ "38 Cristiano Biraghi Biraghi\n",
+ "39 Davide Biraschi Biraschi\n",
+ "40 Samuele Birindelli Birindelli\n",
+ "41 Alexis Blin Blin\n",
+ "42 Emil Bohinen Bohinen\n",
+ "43 Daniel Boloca Boloca\n",
+ "44 Giacomo Bonaventura Bonaventura\n",
+ "45 Federico Bonazzoli Bonazzoli\n",
+ "46 Warren Bondo Bondo\n",
+ "47 Gennaro Borrelli Borrelli\n",
+ "48 Erik Botheim Botheim\n",
+ "49 Edoardo Bove Bove\n",
+ "50 Domagoj Bradarić Bradaric\n",
+ "51 Josip Brekalo Brekalo\n",
+ "52 Gleison Bremer Bremer\n",
+ "53 Marco Brescianini Brescianini\n",
+ "54 Alessandro Buongiorno Buongiorno\n",
+ "55 Rareș-Cătălin Burnete Burnete\n",
+ "56 Juan Cabal Cabal\n",
+ "57 Jovane Cabral Cabral\n",
+ "58 Liberato Cacace Cacace\n",
+ "59 Jens Cajuste Cajuste\n",
+ "60 Davide Calabria Calabria\n",
+ "61 Riccardo Calafiori Calafiori\n",
+ "62 Luca Caldirola Caldirola\n",
+ "63 Hakan Çalhanoğlu Calhanoglu\n",
+ "64 Nicolò Cambiaghi Cambiaghi\n",
+ "65 Andrea Cambiaso Cambiaso\n",
+ "66 Matteo Cancellieri Cancellieri\n",
+ "67 Antonio Candreva Candreva\n",
+ "68 Luigi Canotto Canotto\n",
+ "69 Gianluca Caprari Caprari\n",
+ "70 Elia Caprile Caprile\n",
+ "71 Francesco Caputo Caputo\n",
+ "72 Andrea Carboni Carboni\n",
+ "73 Valentin Carboni Carboni\n",
+ "74 Carlos Carlos\n",
+ "75 Marco Carnesecchi Carnesecchi\n",
+ "76 Nicolò Casale Casale\n",
+ "77 Giuseppe Caso Caso\n",
+ "78 Valentín Castellanos Castellanos\n",
+ "79 Samu Castillejo Castillejo\n",
+ "80 Danilo Cataldi Cataldi\n",
+ "81 Emil Ceide Ceide\n",
+ "82 Zeki Çelik Celik\n",
+ "83 Michele Cerofolini Cerofolini\n",
+ "84 Walid Cheddira Cheddira\n",
+ "85 Federico Chiesa Chiesa\n",
+ "86 Oliver Christensen Christensen\n",
+ "87 Samuel Chukwueze Chukwueze\n",
+ "88 Patrick Ciurria Ciurria\n",
+ "89 Lorenzo Colombo Colombo\n",
+ "90 Andrea Colpani Colpani\n",
+ "91 Andrea Consigli Consigli\n",
+ "92 Diego Coppola Coppola\n",
+ "93 Tommaso Corazza Corazza\n",
+ "94 Lassana Coulibaly Coulibaly\n",
+ "95 Mamadou Coulibaly Coulibaly\n",
+ "96 Alessio Cragno Cragno\n",
+ "97 Bryan Cristante Cristante\n",
+ "98 Juan Cuadrado Cuadrado\n",
+ "99 Marvin Cuni Cuni\n",
+ "100 Danilo D'Ambrosio DAmbrosio\n",
+ "101 Danilo Danilo\n",
+ "102 Matteo Darmian Darmian\n",
+ "103 Paweł Dawidowicz Dawidowicz\n",
+ "104 Charles De Ketelaere Ketelaere\n",
+ "105 Lorenzo De Silvestri Silvestri\n",
+ "106 Koni De Winter Winter\n",
+ "107 Grégoire Defrel Defrel\n",
+ "108 Alessandro Deiola Deiola\n",
+ "109 Mattia Destro Destro\n",
+ "110 Federico Di Francesco Francesco\n",
+ "111 Michele Di Gregorio Gregorio\n",
+ "112 Giovanni Di Lorenzo Lorenzo\n",
+ "113 Alessandro Di Pardo Pardo\n",
+ "114 Boulaye Dia Dia\n",
+ "115 Federico Dimarco Dimarco\n",
+ "116 Berat Djimsiti Djimsiti\n",
+ "117 Dodô Dodo\n",
+ "118 Josh Doig Doig\n",
+ "119 Nicolás Domínguez Dominguez\n",
+ "120 Patrick Dorgu Dorgu\n",
+ "121 Alberto Dossena Dossena\n",
+ "122 Radu Drăgușin Dragusin\n",
+ "123 Ondrej Duda Duda\n",
+ "124 Denzel Dumfries Dumfries\n",
+ "125 Alfred Duncan Duncan\n",
+ "126 Paulo Dybala Dybala\n",
+ "127 Festy Ebosele Ebosele\n",
+ "128 Enzo Ebosse Ebosse\n",
+ "129 Tyronne Ebuehi Ebuehi\n",
+ "130 Éderson Ederson\n",
+ "131 Emmanuel Ekong Ekong\n",
+ "132 Caleb Ekuban Ekuban\n",
+ "133 Elif Elmas Elmas\n",
+ "134 Martin Erlic Erlic\n",
+ "135 Giovanni Fabbian Fabbian\n",
+ "136 Nicolò Fagioli Fagioli\n",
+ "137 Wladimiro Falcone Falcone\n",
+ "138 Davide Faraoni Faraoni\n",
+ "139 Federico Fazio Fazio\n",
+ "140 Jacopo Fazzini Fazzini\n",
+ "141 Lewis Ferguson Ferguson\n",
+ "142 João Ferreira Ferreira\n",
+ "143 Alessandro Florenzi Florenzi\n",
+ "144 Michael Folorunsho Folorunsho\n",
+ "145 Davide Frattesi Frattesi\n",
+ "146 Morten Frendrup Frendrup\n",
+ "147 Remo Freuler Freuler\n",
+ "148 Roberto Gagliardini Gagliardini\n",
+ "149 Antonino Gallo Gallo\n",
+ "150 Luca Garritano Garritano\n",
+ "151 Federico Gatti Gatti\n",
+ "152 Francesco Gelli Gelli\n",
+ "153 Valentin Gendrey Gendrey\n",
+ "154 Gvidas Gineitis Gineitis\n",
+ "155 Olivier Giroud Giroud\n",
+ "156 Edoardo Goldaniga Goldaniga\n",
+ "157 Joan Gonzàlez Gonzalez\n",
+ "158 Nicolás González Gonzalez\n",
+ "159 Alberto Grassi Grassi\n",
+ "160 Mattéo Guendouzi Guendouzi\n",
+ "161 Axel Guessand Guessand\n",
+ "162 Albert Guðmundsson Gumundsson\n",
+ "163 Emmanuel Gyasi Gyasi\n",
+ "164 Norbert Gyömbér Gyomber\n",
+ "165 Nicolas Haas Haas\n",
+ "166 Abdou Harroui Harroui\n",
+ "167 Pantelis Hatzidiakos Hatzidiakos\n",
+ "168 Silvan Hefti Hefti\n",
+ "169 Liam Henderson Henderson\n",
+ "170 Matheus Henrique Henrique\n",
+ "171 Theo Hernández Hernandez\n",
+ "172 Isak Hien Hien\n",
+ "173 Emil Holm Holm\n",
+ "174 Martin Hongla Hongla\n",
+ "175 Sydney van Hooijdonk Hooijdonk\n",
+ "176 Elseid Hysaj Hysaj\n",
+ "177 Chukwubuikem Ikwuemesi Ikwuemesi\n",
+ "178 Ivan Ilić Ilic\n",
+ "179 Samuel Iling-Junior Iling-Junior\n",
+ "180 Ciro Immobile Immobile\n",
+ "181 Gino Infantino Infantino\n",
+ "182 Gustav Isaksen Isaksen\n",
+ "183 Ardian Ismajli Ismajli\n",
+ "184 Armando Izzo Izzo\n",
+ "185 Filip Jagiełło Jagieo\n",
+ "186 Jakub Jankto Jankto\n",
+ "187 Juan Jesus Jesus\n",
+ "188 Luka Jović Jovic\n",
+ "189 Mohamed Kaba Kaba\n",
+ "190 Christian Kabasele Kabasele\n",
+ "191 Pierre Kalulu Kalulu\n",
+ "192 Daichi Kamada Kamada\n",
+ "193 Hassane Kamara Kamara\n",
+ "194 Yann Karamoh Karamoh\n",
+ "195 Jesper Karlsson Karlsson\n",
+ "196 Rick Karsdorp Karsdorp\n",
+ "197 Grigoris Kastanos Kastanos\n",
+ "198 Michael Kayode Kayode\n",
+ "199 Moise Kean Kean\n",
+ "200 Simon Kjær Kjr\n",
+ "201 Sead Kolašinac Kolasinac\n",
+ "202 Teun Koopmeiners Koopmeiners\n",
+ "203 Filip Kostić Kostic\n",
+ "204 Christian Kouamé Kouame\n",
+ "205 Viktor Kovalenko Kovalenko\n",
+ "206 Nikola Krstović Krstovic\n",
+ "207 Rade Krunić Krunic\n",
+ "208 Berkan Kutlu Kutlu\n",
+ "209 Khvicha Kvaratskhelia Kvaratskhelia\n",
+ "210 Giorgi Kvernadze Kvernadze\n",
+ "211 Giorgos Kyriakopoulos Kyriakopoulos\n",
+ "212 Armand Lauriente Lauriente\n",
+ "213 Valentino Lazaro Lazaro\n",
+ "214 Darko Lazović Lazovic\n",
+ "215 Manuel Lazzari Lazzari\n",
+ "216 Rafael Leão Leao\n",
+ "217 Jesper Lindstrøm Lindstrm\n",
+ "218 Karol Linetty Linetty\n",
+ "219 Pol Lirola Lirola\n",
+ "220 Diego Llorente Llorente\n",
+ "221 Stanislav Lobotka Lobotka\n",
+ "222 Manuel Locatelli Locatelli\n",
+ "223 Ruben Loftus-Cheek Loftus-Cheek\n",
+ "224 Ademola Lookman Lookman\n",
+ "225 Maxime Lopez Lopez\n",
+ "226 Matteo Lovato Lovato\n",
+ "227 Sandi Lovrić Lovric\n",
+ "228 Lorenzo Lucca Lucca\n",
+ "229 Jhon Lucumí Lucumi\n",
+ "230 José Luis Palomino Palomino\n",
+ "231 Romelu Lukaku Lukaku\n",
+ "232 Sebastiano Luperto Luperto\n",
+ "233 Charalambos Lykogiannis Lykogiannis\n",
+ "234 Giulio Maggiore Maggiore\n",
+ "235 Giangiacomo Magnani Magnani\n",
+ "236 Mike Maignan Maignan\n",
+ "237 Antoine Makoumbou Makoumbou\n",
+ "238 Youssef Maleh Maleh\n",
+ "239 Ruslan Malinovskyi Malinovskyi\n",
+ "240 Gianluca Mancini Mancini\n",
+ "241 Rolando Mandragora Mandragora\n",
+ "242 Riccardo Marchizza Marchizza\n",
+ "243 Pablo Marí Mari\n",
+ "244 Mirko Marić Maric\n",
+ "245 Răzvan Marin Marin\n",
+ "246 Agustín Martegani Martegani\n",
+ "247 Aarón Martín Martin\n",
+ "248 Josep Martinez Martinez\n",
+ "249 Lautaro Martínez Martinez\n",
+ "250 Lucas Martínez Quarta Quarta\n",
+ "251 Adam Marušić Marusic\n",
+ "252 Luca Mazzitelli Mazzitelli\n",
+ "253 Pasquale Mazzocchi Mazzocchi\n",
+ "254 Jordi Mboula Mboula\n",
+ "255 Weston McKennie McKennie\n",
+ "256 Arthur Melo Melo\n",
+ "257 Alex Meret Meret\n",
+ "258 Nikola Milenković Milenkovic\n",
+ "259 Arkadiusz Milik Milik\n",
+ "260 Vanja Milinković-Savić Milinkovic-Savic\n",
+ "261 Aleksei Miranchuk Miranchuk\n",
+ "262 Kevin Miranda Miranda\n",
+ "263 Fabio Miretti Miretti\n",
+ "264 Filippo Missori Missori\n",
+ "265 Henrikh Mkhitaryan Mkhitaryan\n",
+ "266 Ilario Monterisi Monterisi\n",
+ "267 Lorenzo Montipò Montipo\n",
+ "268 Nikola Moro Moro\n",
+ "269 Dany Mota Mota\n",
+ "270 Samuele Mulattieri Mulattieri\n",
+ "271 Luis Muriel Muriel\n",
+ "272 Yunus Musah Musah\n",
+ "273 Juan Musso Musso\n",
+ "274 Obite N'Dicka NDicka\n",
+ "275 Nahitan Nández Nandez\n",
+ "276 Michel Ndary Adopo Adopo\n",
+ "277 Dan Ndoye Ndoye\n",
+ "278 Cyril Ngonge Ngonge\n",
+ "279 Rasmus Nissen Nissen\n",
+ "280 M'Bala Nzola Nzola\n",
+ "281 Adam Obert Obert\n",
+ "282 Guillermo Ochoa Ochoa\n",
+ "283 Noah Okafor Okafor\n",
+ "284 Caleb Okoli Okoli\n",
+ "285 Mathías Olivera Olivera\n",
+ "286 Gaetano Oristanio Oristanio\n",
+ "287 Riccardo Orsolini Orsolini\n",
+ "288 Victor Osimhen Osimhen\n",
+ "289 Anthony Oyono Oyono\n",
+ "290 Riccardo Pagano Pagano\n",
+ "291 Leandro Paredes Paredes\n",
+ "292 Fabiano Parisi Parisi\n",
+ "293 Mario Pašalić Pasalic\n",
+ "294 Patric Patric\n",
+ "295 Rui Patrício Patricio\n",
+ "296 Leonardo Pavoletti Pavoletti\n",
+ "297 Martín Payero Payero\n",
+ "298 Marcus Pedersen Pedersen\n",
+ "299 Pedro Pedro\n",
+ "300 Pietro Pellegri Pellegri\n",
+ "301 Lorenzo Pellegrini Pellegrini\n",
+ "302 Luca Pellegrini Pellegrini\n",
+ "303 Pepín Pepin\n",
+ "304 Pedro Pereira Pereira\n",
+ "305 Roberto Pereyra Pereyra\n",
+ "306 Nehuén Pérez Perez\n",
+ "307 Mattia Perin Perin\n",
+ "308 Samuele Perisan Perisan\n",
+ "309 Matteo Pessina Pessina\n",
+ "310 Andrea Petagna Petagna\n",
+ "311 Giuseppe Pezzella Pezzella\n",
+ "312 Roberto Piccoli Piccoli\n",
+ "313 Roberto Piccoli Piccoli\n",
+ "314 Andrea Pinamonti Pinamonti\n",
+ "315 Lorenzo Pirola Pirola\n",
+ "316 Tommaso Pobega Pobega\n",
+ "317 Paul Pogba Pogba\n",
+ "318 Matteo Politano Politano\n",
+ "319 Marin Pongračić Pongracic\n",
+ "320 Stefan Posch Posch\n",
+ "321 Matteo Prati Prati\n",
+ "322 Ivan Provedel Provedel\n",
+ "323 Christian Pulisic Pulisic\n",
+ "324 Domingos Quina Quina\n",
+ "325 Adrien Rabiot Rabiot\n",
+ "326 Uroš Račić Racic\n",
+ "327 Nemanja Radonjić Radonjic\n",
+ "328 Boris Radunović Radunovic\n",
+ "329 Hamza Rafia Rafia\n",
+ "330 Ylber Ramadani Ramadani\n",
+ "331 Luca Ranieri Ranieri\n",
+ "332 Giacomo Raspadori Raspadori\n",
+ "333 Tijjani Reijnders Reijnders\n",
+ "334 Mateo Retegui Retegui\n",
+ "335 Samuele Ricci Ricci\n",
+ "336 Ricardo Rodríguez Rodriguez\n",
+ "337 Alessio Romagnoli Romagnoli\n",
+ "338 Simone Romagnoli Romagnoli\n",
+ "339 Marten de Roon Roon\n",
+ "340 Nicolò Rovella Rovella\n",
+ "341 Amir Rrahmani Rrahmani\n",
+ "342 Ruan Ruan\n",
+ "343 Matteo Ruggeri Ruggeri\n",
+ "344 Mário Rui Rui\n",
+ "345 Stefano Sabelli Sabelli\n",
+ "346 Lazar Samardzic Samardzic\n",
+ "347 Junior Sambia Sambia\n",
+ "348 Antonio Sanabria Sanabria\n",
+ "349 Renato Sanches Sanches\n",
+ "350 Alex Sandro Sandro\n",
+ "351 Riccardo Saponara Saponara\n",
+ "352 Giorgio Scalvini Scalvini\n",
+ "353 Gianluca Scamacca Scamacca\n",
+ "354 Perr Schuurs Schuurs\n",
+ "355 Demba Seck Seck\n",
+ "356 Vivaldo Semedo Semedo\n",
+ "357 Stefano Sensi Sensi\n",
+ "358 Suat Serdar Serdar\n",
+ "359 Stephan El Shaarawy Shaarawy\n",
+ "360 Eldor Shomurodov Shomurodov\n",
+ "361 Steven Shpendi Shpendi\n",
+ "362 Marco Silvestri Silvestri\n",
+ "363 Giovanni Simeone Simeone\n",
+ "364 Leo Skiri Østigård stigard\n",
+ "365 Łukasz Skorupski Skorupski\n",
+ "366 Chris Smalling Smalling\n",
+ "367 Ola Solbakken Solbakken\n",
+ "368 Yann Sommer Sommer\n",
+ "369 Brandon Soppy Soppy\n",
+ "370 Alessandro Sorrentino Sorrentino\n",
+ "371 Riccardo Sottil Sottil\n",
+ "372 Matìas Soulé Soule\n",
+ "373 Leonardo Spinazzola Spinazzola\n",
+ "374 Gabriel Strefezza Strefezza\n",
+ "375 Kevin Strootman Strootman\n",
+ "376 Isaac Success Success\n",
+ "377 Ibrahim Sulemana Sulemana\n",
+ "378 Tomáš Suslov Suslov\n",
+ "379 Wojciech Szczęsny Szczesny\n",
+ "380 Przemysław Szymiński Szyminski\n",
+ "381 Adrien Tameze Tameze\n",
+ "382 Loum Tchaouna Tchaouna\n",
+ "383 Filippo Terracciano Terracciano\n",
+ "384 Pietro Terracciano Terracciano\n",
+ "385 Florian Thauvin Thauvin\n",
+ "386 Malick Thiaw Thiaw\n",
+ "387 Morten Thorsby Thorsby\n",
+ "388 Kristian Thorstvedt Thorstvedt\n",
+ "389 Marcus Thuram Thuram\n",
+ "390 Jeremy Toljan Toljan\n",
+ "391 Rafael Tolói Toloi\n",
+ "392 Fikayo Tomori Tomori\n",
+ "393 Ahmed Touba Touba\n",
+ "394 Stefano Turati Turati\n",
+ "395 Kacper Urbanski Urbanski\n",
+ "396 Johan Vásquez Vasquez\n",
+ "397 Matías Vecino Vecino\n",
+ "398 Simone Verdi Verdi\n",
+ "399 Samuele Vignato Vignato\n",
+ "400 Matías Viña Vina\n",
+ "401 Mattia Viti Viti\n",
+ "402 Dušan Vlahović Vlahovic\n",
+ "403 Nikola Vlašić Vlasic\n",
+ "404 Mërgim Vojvoda Vojvoda\n",
+ "405 Cristian Volpato Volpato\n",
+ "406 Stefan de Vrij Vrij\n",
+ "407 Walace Walace\n",
+ "408 Sebastian Walukiewicz Walukiewicz\n",
+ "409 Timothy Weah Weah\n",
+ "410 Mateusz Wieteska Wieteska\n",
+ "411 Kenan Yıldız Yldz\n",
+ "412 Mattia Zaccagni Zaccagni\n",
+ "413 Nicola Zalewski Zalewski\n",
+ "414 Andre-Frank Zambo Anguissa Anguissa\n",
+ "415 Duván Zapata Zapata\n",
+ "416 Duván Zapata Zapata\n",
+ "417 Gabriele Zappa Zappa\n",
+ "418 Davide Zappacosta Zappacosta\n",
+ "419 Oier Zarraga Zarraga\n",
+ "420 Jordan Zemura Zemura\n",
+ "421 Alessio Zerbin Zerbin\n",
+ "422 Piotr Zieliński Zielinski\n",
+ "423 David Zima Zima\n",
+ "424 Joshua Zirkzee Zirkzee\n",
+ "425 Zito Zito\n",
+ "426 Nadir Zortea Zortea\n",
+ "427 Milan Đurić uric\n",
+ "428 Mateusz Łęgowski egowski\n",
+ "429 Etrit Berisha Berisha\n",
+ "430 Elia Caprile Caprile\n",
+ "431 Marco Carnesecchi Carnesecchi\n",
+ "432 Michele Cerofolini Cerofolini\n",
+ "433 Oliver Christensen Christensen\n",
+ "434 Andrea Consigli Consigli\n",
+ "435 Alessio Cragno Cragno\n",
+ "436 Michele Di Gregorio Gregorio\n",
+ "437 Wladimiro Falcone Falcone\n",
+ "438 Mike Maignan Maignan\n",
+ "439 Josep Martinez Martinez\n",
+ "440 Alex Meret Meret\n",
+ "441 Vanja Milinković-Savić Milinkovic-Savic\n",
+ "442 Lorenzo Montipò Montipo\n",
+ "443 Juan Musso Musso\n",
+ "444 Guillermo Ochoa Ochoa\n",
+ "445 Rui Patrício Patricio\n",
+ "446 Mattia Perin Perin\n",
+ "447 Samuele Perisan Perisan\n",
+ "448 Ivan Provedel Provedel\n",
+ "449 Boris Radunović Radunovic\n",
+ "450 Marco Silvestri Silvestri\n",
+ "451 Łukasz Skorupski Skorupski\n",
+ "452 Yann Sommer Sommer\n",
+ "453 Alessandro Sorrentino Sorrentino\n",
+ "454 Wojciech Szczęsny Szczesny\n",
+ "455 Pietro Terracciano Terracciano\n",
+ "456 Stefano Turati Turati\n"
]
}
],
@@ -655,7 +688,7 @@
},
{
"cell_type": "code",
- "execution_count": 37,
+ "execution_count": 7,
"id": "3e759b1b",
"metadata": {},
"outputs": [
@@ -769,6 +802,12 @@
" Gudmundsson \n",
" Genoa \n",
" \n",
+ " \n",
+ " 12 \n",
+ " Kristensen \n",
+ " Nissen \n",
+ " Roma \n",
+ " \n",
" \n",
"\n",
""
@@ -786,10 +825,11 @@
"8 uric Djuric Hellas Verona\n",
"9 Arthur Cabral Fiorentina\n",
"10 Martinez Alvarez Sassuolo\n",
- "11 Gumundsson Gudmundsson Genoa"
+ "11 Gumundsson Gudmundsson Genoa\n",
+ "12 Kristensen Nissen Roma"
]
},
- "execution_count": 37,
+ "execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
@@ -818,7 +858,7 @@
},
{
"cell_type": "code",
- "execution_count": 38,
+ "execution_count": 8,
"id": "f96eaaa1",
"metadata": {},
"outputs": [
@@ -854,24 +894,6 @@
" \n",
" \n",
" 0 \n",
- " 4312 \n",
- " P \n",
- " Maignan \n",
- " Milan \n",
- " Maignan \n",
- " \n",
- " \n",
- " \n",
- " 1 \n",
- " 572 \n",
- " P \n",
- " Meret \n",
- " Napoli \n",
- " Meret \n",
- " \n",
- " \n",
- " \n",
- " 2 \n",
" 2428 \n",
" P \n",
" Sommer \n",
@@ -880,7 +902,7 @@
" \n",
" \n",
" \n",
- " 3 \n",
+ " 1 \n",
" 453 \n",
" P \n",
" Szczesny \n",
@@ -889,7 +911,16 @@
" \n",
" \n",
" \n",
- " 4 \n",
+ " 2 \n",
+ " 572 \n",
+ " P \n",
+ " Meret \n",
+ " Napoli \n",
+ " Meret \n",
+ " \n",
+ " \n",
+ " \n",
+ " 3 \n",
" 2814 \n",
" P \n",
" Provedel \n",
@@ -898,6 +929,15 @@
" \n",
" \n",
" \n",
+ " 4 \n",
+ " 4312 \n",
+ " P \n",
+ " Maignan \n",
+ " Milan \n",
+ " Maignan \n",
+ " \n",
+ " \n",
+ " \n",
" ... \n",
" ... \n",
" ... \n",
@@ -907,16 +947,16 @@
" ... \n",
" \n",
" \n",
- " 530 \n",
- " 6242 \n",
+ " 534 \n",
+ " 6395 \n",
" A \n",
- " Bidaoui \n",
- " Frosinone \n",
- " Bidaoui \n",
- " \n",
+ " Shpendi S. \n",
+ " Empoli \n",
+ " Shpendi \n",
+ " S \n",
" \n",
" \n",
- " 531 \n",
+ " 535 \n",
" 6418 \n",
" A \n",
" Burnete \n",
@@ -925,7 +965,7 @@
" \n",
" \n",
" \n",
- " 532 \n",
+ " 536 \n",
" 6419 \n",
" A \n",
" Corfitzen \n",
@@ -934,7 +974,7 @@
" \n",
" \n",
" \n",
- " 533 \n",
+ " 537 \n",
" 6427 \n",
" A \n",
" Stewart \n",
@@ -943,7 +983,7 @@
" \n",
" \n",
" \n",
- " 534 \n",
+ " 538 \n",
" 6434 \n",
" A \n",
" Yildiz \n",
@@ -953,27 +993,27 @@
" \n",
" \n",
"\n",
- "535 rows × 6 columns
\n",
+ "539 rows × 6 columns
\n",
""
],
"text/plain": [
- " id r name team surname initial\n",
- "0 4312 P Maignan Milan Maignan \n",
- "1 572 P Meret Napoli Meret \n",
- "2 2428 P Sommer Inter Sommer \n",
- "3 453 P Szczesny Juventus Szczesny \n",
- "4 2814 P Provedel Lazio Provedel \n",
- ".. ... .. ... ... ... ...\n",
- "530 6242 A Bidaoui Frosinone Bidaoui \n",
- "531 6418 A Burnete Lecce Burnete \n",
- "532 6419 A Corfitzen Lecce Corfitzen \n",
- "533 6427 A Stewart Salernitana Stewart \n",
- "534 6434 A Yildiz Juventus Yildiz \n",
+ " id r name team surname initial\n",
+ "0 2428 P Sommer Inter Sommer \n",
+ "1 453 P Szczesny Juventus Szczesny \n",
+ "2 572 P Meret Napoli Meret \n",
+ "3 2814 P Provedel Lazio Provedel \n",
+ "4 4312 P Maignan Milan Maignan \n",
+ ".. ... .. ... ... ... ...\n",
+ "534 6395 A Shpendi S. Empoli Shpendi S\n",
+ "535 6418 A Burnete Lecce Burnete \n",
+ "536 6419 A Corfitzen Lecce Corfitzen \n",
+ "537 6427 A Stewart Salernitana Stewart \n",
+ "538 6434 A Yildiz Juventus Yildiz \n",
"\n",
- "[535 rows x 6 columns]"
+ "[539 rows x 6 columns]"
]
},
- "execution_count": 38,
+ "execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
@@ -1012,7 +1052,7 @@
},
{
"cell_type": "code",
- "execution_count": 39,
+ "execution_count": 9,
"id": "9c50e4b5",
"metadata": {},
"outputs": [],
@@ -1051,7 +1091,7 @@
},
{
"cell_type": "code",
- "execution_count": 40,
+ "execution_count": 11,
"id": "18f6c5f2",
"metadata": {},
"outputs": [
@@ -1059,8 +1099,6 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Carnesecchi not found\n",
- "Cragno not found\n",
"Sportiello not found\n",
"Mirante not found\n",
"Sepe not found\n",
@@ -1088,7 +1126,6 @@
"Boer not found\n",
"Bagnolini not found\n",
"Svilar not found\n",
- "Sorrentino A. not found\n",
"Martinelli T. not found\n",
"Popa not found\n",
"Stubljar not found\n",
@@ -1097,10 +1134,6 @@
"Okoye not found\n",
"Mandas not found\n",
"Pavard not found\n",
- "Acerbi not found\n",
- "Toloi not found\n",
- "N'dicka not found\n",
- "Bastoni S. not found\n",
"Kristensen not found\n",
"Natan not found\n",
"Mina not found\n",
@@ -1108,17 +1141,13 @@
"Masina not found\n",
"Djidji not found\n",
"Tressoldi not found\n",
- "Hatzidiakos not found\n",
- "Calafiori not found\n",
"Ehizibue not found\n",
"Vogliacco not found\n",
"Ferrari G. not found\n",
- "Lirola not found\n",
"Venuti not found\n",
"Gunter not found\n",
"Soumaoro not found\n",
"Zanoli not found\n",
- "Touba not found\n",
"Sazonov not found\n",
"Rugani not found\n",
"De Sciglio not found\n",
@@ -1126,19 +1155,14 @@
"Kumbulla not found\n",
"Daniliuc not found\n",
"Haps not found\n",
- "De Winter not found\n",
"Cittadini not found\n",
- "Ebosse not found\n",
"Kristensen T. not found\n",
"Dermaku not found\n",
"Tonelli not found\n",
"Capradossi not found\n",
"Bettella not found\n",
- "Okoli not found\n",
"Amey not found\n",
- "Soppy not found\n",
"Gila not found\n",
- "Guessand A. not found\n",
"Bronn not found\n",
"Guarino not found\n",
"Smajlovic not found\n",
@@ -1150,34 +1174,26 @@
"Huijsen not found\n",
"Bonfanti not found\n",
"Pellegrino not found\n",
+ "Comuzzo not found\n",
"Lindstrom not found\n",
- "Lazovic not found\n",
"Ikone' not found\n",
- "Barak not found\n",
"Bennacer not found\n",
- "Klaassen not found\n",
"Castrovilli not found\n",
- "Miranchuk not found\n",
+ "Klaassen not found\n",
"Messias not found\n",
"Reinier not found\n",
- "Freuler not found\n",
- "Lopez M. from previous team stats\n",
- "Mancosu not found\n",
- "Machin not found\n",
- "Oudin not found\n",
"Cajuste not found\n",
- "Castillejo not found\n",
+ "Mancosu not found\n",
+ "Oudin not found\n",
+ "Machin not found\n",
"Iling Junior not found\n",
- "Payero not found\n",
"Bourabia not found\n",
- "Rovella not found\n",
"Saelemaekers not found\n",
"Maldini not found\n",
"Ranocchia F. not found\n",
"Tchatchoua not found\n",
"Romero L. not found\n",
"Basic not found\n",
- "Suslov not found\n",
"Gaetano not found\n",
"Jagiello not found\n",
"Obiang not found\n",
@@ -1191,33 +1207,30 @@
"Demme not found\n",
"Pafundi not found\n",
"Adli not found\n",
- "Zerbin not found\n",
"Faticanti not found\n",
- "Gineitis not found\n",
"Belardinelli not found\n",
"Lipani not found\n",
"Joselito not found\n",
"Legowski not found\n",
- "Prati not found\n",
+ "Ibrahimovic A. not found\n",
+ "Sanchez not found\n",
"Toure' E. not found\n",
"Lapadula not found\n",
- "Sanchez not found\n",
"Abraham not found\n",
"Deulofeu not found\n",
- "Jovic not found\n",
- "Azmoun not found\n",
"Henry not found\n",
- "Davis K. not found\n",
- "Brenner not found\n",
"Luvumbo not found\n",
+ "Brenner not found\n",
+ "Davis K. not found\n",
+ "Sansone not found\n",
"Jovane not found\n",
"Alvarez A. not found\n",
+ "Cruz not found\n",
"Puscas not found\n",
"Ake' M. not found\n",
"Braaf not found\n",
"Kallon not found\n",
"Kaio Jorge not found\n",
- "Valencia D. not found\n",
"Vivaldo not found\n",
"Bidaoui not found\n",
"Corfitzen not found\n",
@@ -1246,7 +1259,7 @@
},
{
"cell_type": "code",
- "execution_count": 45,
+ "execution_count": 12,
"id": "3b4a36af",
"metadata": {},
"outputs": [
@@ -1278,142 +1291,58 @@
" surname \n",
" initial \n",
" fb_ID \n",
- " age \n",
- " birth_year \n",
- " games \n",
- " ... \n",
- " gk_passes_length_avg \n",
- " gk_goal_kicks \n",
- " gk_pct_goal_kicks_launched \n",
- " gk_goal_kick_length_avg \n",
- " gk_crosses \n",
- " gk_crosses_stopped \n",
- " gk_crosses_stopped_pct \n",
- " gk_def_actions_outside_pen_area \n",
- " gk_def_actions_outside_pen_area_per90 \n",
- " gk_avg_distance_def_actions \n",
" \n",
" \n",
" \n",
" \n",
" 0 \n",
- " 4312 \n",
- " P \n",
- " Maignan \n",
- " Milan \n",
- " Maignan \n",
- " \n",
- " 406 \n",
- " 28-068 \n",
- " 1995 \n",
- " 0 \n",
- " ... \n",
- " 30.5 \n",
- " 20 \n",
- " 65.0 \n",
- " 49.3 \n",
- " 43 \n",
- " 12 \n",
- " 27.9 \n",
- " 3 \n",
- " 1.00 \n",
- " 10.3 \n",
- " \n",
- " \n",
- " 1 \n",
- " 572 \n",
- " P \n",
- " Meret \n",
- " Napoli \n",
- " Meret \n",
- " \n",
- " 408 \n",
- " 26-171 \n",
- " 1997 \n",
- " 0 \n",
- " ... \n",
- " 24.4 \n",
- " 8 \n",
- " 0.0 \n",
- " 21.4 \n",
- " 15 \n",
- " 1 \n",
- " 6.7 \n",
- " 5 \n",
- " 1.67 \n",
- " 18.1 \n",
- " \n",
- " \n",
- " 2 \n",
" 2428 \n",
" P \n",
" Sommer \n",
" Inter \n",
" Sommer \n",
" \n",
- " 420 \n",
- " 34-266 \n",
- " 1988 \n",
- " 0 \n",
- " ... \n",
- " 31.4 \n",
- " 21 \n",
- " 23.8 \n",
- " 31.0 \n",
- " 35 \n",
- " 1 \n",
- " 2.9 \n",
- " 0 \n",
- " 0.00 \n",
- " 6.8 \n",
+ " 452 \n",
" \n",
" \n",
- " 3 \n",
+ " 1 \n",
" 453 \n",
" P \n",
" Szczesny \n",
" Juventus \n",
" Szczesny \n",
" \n",
- " 421 \n",
- " 33-144 \n",
- " 1990 \n",
- " 0 \n",
- " ... \n",
- " 31.6 \n",
- " 3 \n",
- " 66.7 \n",
- " 53.3 \n",
- " 16 \n",
- " 1 \n",
- " 6.3 \n",
- " 0 \n",
- " 0.00 \n",
- " 10.8 \n",
+ " 454 \n",
" \n",
" \n",
- " 4 \n",
+ " 2 \n",
+ " 572 \n",
+ " P \n",
+ " Meret \n",
+ " Napoli \n",
+ " Meret \n",
+ " \n",
+ " 440 \n",
+ " \n",
+ " \n",
+ " 3 \n",
" 2814 \n",
" P \n",
" Provedel \n",
" Lazio \n",
" Provedel \n",
" \n",
- " 416 \n",
- " 29-176 \n",
- " 1994 \n",
- " 0 \n",
- " ... \n",
- " 26.1 \n",
- " 11 \n",
- " 27.3 \n",
- " 31.6 \n",
- " 39 \n",
- " 2 \n",
- " 5.1 \n",
- " 6 \n",
- " 2.00 \n",
- " 16.3 \n",
+ " 448 \n",
+ " \n",
+ " \n",
+ " 4 \n",
+ " 4312 \n",
+ " P \n",
+ " Maignan \n",
+ " Milan \n",
+ " Maignan \n",
+ " \n",
+ " 438 \n",
" \n",
" \n",
" ... \n",
@@ -1424,71 +1353,29 @@
" ... \n",
" ... \n",
" ... \n",
- " ... \n",
- " ... \n",
- " ... \n",
- " ... \n",
- " ... \n",
- " ... \n",
- " ... \n",
- " ... \n",
- " ... \n",
- " ... \n",
- " ... \n",
- " ... \n",
- " ... \n",
- " ... \n",
" \n",
" \n",
- " 530 \n",
- " 6242 \n",
+ " 534 \n",
+ " 6395 \n",
" A \n",
- " Bidaoui \n",
- " Frosinone \n",
- " Bidaoui \n",
- " \n",
- " -1 \n",
- " 0 \n",
- " 0 \n",
- " 0 \n",
- " ... \n",
- " 0.0 \n",
- " 0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 0 \n",
- " 0.00 \n",
- " 0.0 \n",
+ " Shpendi S. \n",
+ " Empoli \n",
+ " Shpendi \n",
+ " S \n",
+ " 361 \n",
" \n",
" \n",
- " 531 \n",
+ " 535 \n",
" 6418 \n",
" A \n",
" Burnete \n",
" Lecce \n",
" Burnete \n",
" \n",
- " 51 \n",
- " 19-221 \n",
- " 2004 \n",
- " 1 \n",
- " ... \n",
- " 0.0 \n",
- " 0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 0 \n",
- " 0.00 \n",
- " 0.0 \n",
+ " 55 \n",
" \n",
" \n",
- " 532 \n",
+ " 536 \n",
" 6419 \n",
" A \n",
" Corfitzen \n",
@@ -1496,23 +1383,9 @@
" Corfitzen \n",
" \n",
" -1 \n",
- " 0 \n",
- " 0 \n",
- " 0 \n",
- " ... \n",
- " 0.0 \n",
- " 0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 0 \n",
- " 0.00 \n",
- " 0.0 \n",
" \n",
" \n",
- " 533 \n",
+ " 537 \n",
" 6427 \n",
" A \n",
" Stewart \n",
@@ -1520,23 +1393,9 @@
" Stewart \n",
" \n",
" -1 \n",
- " 0 \n",
- " 0 \n",
- " 0 \n",
- " ... \n",
- " 0.0 \n",
- " 0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 0 \n",
- " 0.00 \n",
- " 0.0 \n",
" \n",
" \n",
- " 534 \n",
+ " 538 \n",
" 6434 \n",
" A \n",
" Yildiz \n",
@@ -1544,109 +1403,30 @@
" Yildiz \n",
" \n",
" -1 \n",
- " 0 \n",
- " 0 \n",
- " 0 \n",
- " ... \n",
- " 0.0 \n",
- " 0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 0 \n",
- " 0.00 \n",
- " 0.0 \n",
" \n",
" \n",
"\n",
- "535 rows × 158 columns
\n",
+ "539 rows × 7 columns
\n",
""
],
"text/plain": [
- " id r name team surname initial fb_ID age \\\n",
- "0 4312 P Maignan Milan Maignan 406 28-068 \n",
- "1 572 P Meret Napoli Meret 408 26-171 \n",
- "2 2428 P Sommer Inter Sommer 420 34-266 \n",
- "3 453 P Szczesny Juventus Szczesny 421 33-144 \n",
- "4 2814 P Provedel Lazio Provedel 416 29-176 \n",
- ".. ... .. ... ... ... ... ... ... \n",
- "530 6242 A Bidaoui Frosinone Bidaoui -1 0 \n",
- "531 6418 A Burnete Lecce Burnete 51 19-221 \n",
- "532 6419 A Corfitzen Lecce Corfitzen -1 0 \n",
- "533 6427 A Stewart Salernitana Stewart -1 0 \n",
- "534 6434 A Yildiz Juventus Yildiz -1 0 \n",
+ " id r name team surname initial fb_ID\n",
+ "0 2428 P Sommer Inter Sommer 452\n",
+ "1 453 P Szczesny Juventus Szczesny 454\n",
+ "2 572 P Meret Napoli Meret 440\n",
+ "3 2814 P Provedel Lazio Provedel 448\n",
+ "4 4312 P Maignan Milan Maignan 438\n",
+ ".. ... .. ... ... ... ... ...\n",
+ "534 6395 A Shpendi S. Empoli Shpendi S 361\n",
+ "535 6418 A Burnete Lecce Burnete 55\n",
+ "536 6419 A Corfitzen Lecce Corfitzen -1\n",
+ "537 6427 A Stewart Salernitana Stewart -1\n",
+ "538 6434 A Yildiz Juventus Yildiz -1\n",
"\n",
- " birth_year games ... gk_passes_length_avg gk_goal_kicks \\\n",
- "0 1995 0 ... 30.5 20 \n",
- "1 1997 0 ... 24.4 8 \n",
- "2 1988 0 ... 31.4 21 \n",
- "3 1990 0 ... 31.6 3 \n",
- "4 1994 0 ... 26.1 11 \n",
- ".. ... ... ... ... ... \n",
- "530 0 0 ... 0.0 0 \n",
- "531 2004 1 ... 0.0 0 \n",
- "532 0 0 ... 0.0 0 \n",
- "533 0 0 ... 0.0 0 \n",
- "534 0 0 ... 0.0 0 \n",
- "\n",
- " gk_pct_goal_kicks_launched gk_goal_kick_length_avg gk_crosses \\\n",
- "0 65.0 49.3 43 \n",
- "1 0.0 21.4 15 \n",
- "2 23.8 31.0 35 \n",
- "3 66.7 53.3 16 \n",
- "4 27.3 31.6 39 \n",
- ".. ... ... ... \n",
- "530 0.0 0.0 0 \n",
- "531 0.0 0.0 0 \n",
- "532 0.0 0.0 0 \n",
- "533 0.0 0.0 0 \n",
- "534 0.0 0.0 0 \n",
- "\n",
- " gk_crosses_stopped gk_crosses_stopped_pct \\\n",
- "0 12 27.9 \n",
- "1 1 6.7 \n",
- "2 1 2.9 \n",
- "3 1 6.3 \n",
- "4 2 5.1 \n",
- ".. ... ... \n",
- "530 0 0.0 \n",
- "531 0 0.0 \n",
- "532 0 0.0 \n",
- "533 0 0.0 \n",
- "534 0 0.0 \n",
- "\n",
- " gk_def_actions_outside_pen_area gk_def_actions_outside_pen_area_per90 \\\n",
- "0 3 1.00 \n",
- "1 5 1.67 \n",
- "2 0 0.00 \n",
- "3 0 0.00 \n",
- "4 6 2.00 \n",
- ".. ... ... \n",
- "530 0 0.00 \n",
- "531 0 0.00 \n",
- "532 0 0.00 \n",
- "533 0 0.00 \n",
- "534 0 0.00 \n",
- "\n",
- " gk_avg_distance_def_actions \n",
- "0 10.3 \n",
- "1 18.1 \n",
- "2 6.8 \n",
- "3 10.8 \n",
- "4 16.3 \n",
- ".. ... \n",
- "530 0.0 \n",
- "531 0.0 \n",
- "532 0.0 \n",
- "533 0.0 \n",
- "534 0.0 \n",
- "\n",
- "[535 rows x 158 columns]"
+ "[539 rows x 7 columns]"
]
},
- "execution_count": 45,
+ "execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
@@ -1665,10 +1445,49 @@
},
{
"cell_type": "code",
- "execution_count": 46,
+ "execution_count": 13,
"id": "1d73a312",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\2053436513.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy] = 0\n"
+ ]
+ }
+ ],
"source": [
"#Data for Outfield players\n",
"columns_to_copy = outfield_players.columns[4:]\n",
@@ -1685,7 +1504,7 @@
},
{
"cell_type": "code",
- "execution_count": 47,
+ "execution_count": 14,
"id": "7acb93e3",
"metadata": {},
"outputs": [
@@ -1710,7 +1529,7 @@
" dtype='object')"
]
},
- "execution_count": 47,
+ "execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
@@ -1721,10 +1540,97 @@
},
{
"cell_type": "code",
- "execution_count": 48,
+ "execution_count": 15,
"id": "eb9127a9",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_2156\\127446819.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ " fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n"
+ ]
+ }
+ ],
"source": [
"#Data for Keepers\n",
"columns_to_copy = keeper_players.columns[4:]\n",
@@ -1742,7 +1648,7 @@
},
{
"cell_type": "code",
- "execution_count": 49,
+ "execution_count": 16,
"id": "da977789",
"metadata": {},
"outputs": [
@@ -1793,123 +1699,123 @@
" \n",
" \n",
" 0 \n",
- " 4312 \n",
- " P \n",
- " Maignan \n",
- " Milan \n",
- " Maignan \n",
- " \n",
- " 406 \n",
- " 28-068 \n",
- " 1995 \n",
- " 0 \n",
- " ... \n",
- " 30.5 \n",
- " 20 \n",
- " 65.0 \n",
- " 49.3 \n",
- " 43 \n",
- " 12 \n",
- " 27.9 \n",
- " 3 \n",
- " 1.00 \n",
- " 10.3 \n",
- " \n",
- " \n",
- " 1 \n",
- " 572 \n",
- " P \n",
- " Meret \n",
- " Napoli \n",
- " Meret \n",
- " \n",
- " 408 \n",
- " 26-171 \n",
- " 1997 \n",
- " 0 \n",
- " ... \n",
- " 24.4 \n",
- " 8 \n",
- " 0.0 \n",
- " 21.4 \n",
- " 15 \n",
- " 1 \n",
- " 6.7 \n",
- " 5 \n",
- " 1.67 \n",
- " 18.1 \n",
- " \n",
- " \n",
- " 2 \n",
" 2428 \n",
" P \n",
" Sommer \n",
" Inter \n",
" Sommer \n",
" \n",
- " 420 \n",
- " 34-266 \n",
+ " 452 \n",
+ " 34-278 \n",
" 1988 \n",
" 0 \n",
" ... \n",
- " 31.4 \n",
- " 21 \n",
- " 23.8 \n",
- " 31.0 \n",
- " 35 \n",
- " 1 \n",
- " 2.9 \n",
+ " 30.8 \n",
+ " 29 \n",
+ " 20.7 \n",
+ " 28.3 \n",
+ " 41 \n",
+ " 2 \n",
+ " 4.9 \n",
" 0 \n",
" 0.00 \n",
- " 6.8 \n",
+ " 6.5 \n",
" \n",
" \n",
- " 3 \n",
+ " 1 \n",
" 453 \n",
" P \n",
" Szczesny \n",
" Juventus \n",
" Szczesny \n",
" \n",
- " 421 \n",
- " 33-144 \n",
+ " 454 \n",
+ " 33-156 \n",
" 1990 \n",
" 0 \n",
" ... \n",
- " 31.6 \n",
- " 3 \n",
+ " 33.1 \n",
+ " 6 \n",
" 66.7 \n",
- " 53.3 \n",
- " 16 \n",
+ " 52.0 \n",
+ " 33 \n",
" 1 \n",
- " 6.3 \n",
+ " 3.0 \n",
" 0 \n",
" 0.00 \n",
- " 10.8 \n",
+ " 9.6 \n",
" \n",
" \n",
- " 4 \n",
+ " 2 \n",
+ " 572 \n",
+ " P \n",
+ " Meret \n",
+ " Napoli \n",
+ " Meret \n",
+ " \n",
+ " 440 \n",
+ " 26-183 \n",
+ " 1997 \n",
+ " 0 \n",
+ " ... \n",
+ " 24.7 \n",
+ " 11 \n",
+ " 0.0 \n",
+ " 20.4 \n",
+ " 27 \n",
+ " 1 \n",
+ " 3.7 \n",
+ " 7 \n",
+ " 1.75 \n",
+ " 18.2 \n",
+ " \n",
+ " \n",
+ " 3 \n",
" 2814 \n",
" P \n",
" Provedel \n",
" Lazio \n",
" Provedel \n",
" \n",
- " 416 \n",
- " 29-176 \n",
+ " 448 \n",
+ " 29-188 \n",
" 1994 \n",
" 0 \n",
" ... \n",
- " 26.1 \n",
- " 11 \n",
- " 27.3 \n",
- " 31.6 \n",
- " 39 \n",
+ " 26.4 \n",
+ " 15 \n",
+ " 20.0 \n",
+ " 27.9 \n",
+ " 48 \n",
" 2 \n",
- " 5.1 \n",
+ " 4.2 \n",
" 6 \n",
- " 2.00 \n",
- " 16.3 \n",
+ " 1.50 \n",
+ " 15.7 \n",
+ " \n",
+ " \n",
+ " 4 \n",
+ " 4312 \n",
+ " P \n",
+ " Maignan \n",
+ " Milan \n",
+ " Maignan \n",
+ " \n",
+ " 438 \n",
+ " 28-080 \n",
+ " 1995 \n",
+ " 0 \n",
+ " ... \n",
+ " 29.2 \n",
+ " 23 \n",
+ " 60.9 \n",
+ " 47.0 \n",
+ " 52 \n",
+ " 12 \n",
+ " 23.1 \n",
+ " 3 \n",
+ " 0.75 \n",
+ " 9.8 \n",
" \n",
" \n",
" ... \n",
@@ -1936,17 +1842,17 @@
" ... \n",
" \n",
" \n",
- " 530 \n",
- " 6242 \n",
+ " 534 \n",
+ " 6395 \n",
" A \n",
- " Bidaoui \n",
- " Frosinone \n",
- " Bidaoui \n",
- " \n",
- " -1 \n",
- " 0 \n",
- " 0 \n",
- " 0 \n",
+ " Shpendi S. \n",
+ " Empoli \n",
+ " Shpendi \n",
+ " S \n",
+ " 361 \n",
+ " 20-125 \n",
+ " 2003 \n",
+ " 3 \n",
" ... \n",
" 0.0 \n",
" 0 \n",
@@ -1960,15 +1866,15 @@
" 0.0 \n",
" \n",
" \n",
- " 531 \n",
+ " 535 \n",
" 6418 \n",
" A \n",
" Burnete \n",
" Lecce \n",
" Burnete \n",
" \n",
- " 51 \n",
- " 19-221 \n",
+ " 55 \n",
+ " 19-233 \n",
" 2004 \n",
" 1 \n",
" ... \n",
@@ -1984,7 +1890,7 @@
" 0.0 \n",
" \n",
" \n",
- " 532 \n",
+ " 536 \n",
" 6419 \n",
" A \n",
" Corfitzen \n",
@@ -2008,7 +1914,7 @@
" 0.0 \n",
" \n",
" \n",
- " 533 \n",
+ " 537 \n",
" 6427 \n",
" A \n",
" Stewart \n",
@@ -2032,7 +1938,7 @@
" 0.0 \n",
" \n",
" \n",
- " 534 \n",
+ " 538 \n",
" 6434 \n",
" A \n",
" Yildiz \n",
@@ -2057,92 +1963,92 @@
" \n",
" \n",
"\n",
- "535 rows × 158 columns
\n",
+ "539 rows × 158 columns
\n",
""
],
"text/plain": [
- " id r name team surname initial fb_ID age \\\n",
- "0 4312 P Maignan Milan Maignan 406 28-068 \n",
- "1 572 P Meret Napoli Meret 408 26-171 \n",
- "2 2428 P Sommer Inter Sommer 420 34-266 \n",
- "3 453 P Szczesny Juventus Szczesny 421 33-144 \n",
- "4 2814 P Provedel Lazio Provedel 416 29-176 \n",
- ".. ... .. ... ... ... ... ... ... \n",
- "530 6242 A Bidaoui Frosinone Bidaoui -1 0 \n",
- "531 6418 A Burnete Lecce Burnete 51 19-221 \n",
- "532 6419 A Corfitzen Lecce Corfitzen -1 0 \n",
- "533 6427 A Stewart Salernitana Stewart -1 0 \n",
- "534 6434 A Yildiz Juventus Yildiz -1 0 \n",
+ " id r name team surname initial fb_ID age \\\n",
+ "0 2428 P Sommer Inter Sommer 452 34-278 \n",
+ "1 453 P Szczesny Juventus Szczesny 454 33-156 \n",
+ "2 572 P Meret Napoli Meret 440 26-183 \n",
+ "3 2814 P Provedel Lazio Provedel 448 29-188 \n",
+ "4 4312 P Maignan Milan Maignan 438 28-080 \n",
+ ".. ... .. ... ... ... ... ... ... \n",
+ "534 6395 A Shpendi S. Empoli Shpendi S 361 20-125 \n",
+ "535 6418 A Burnete Lecce Burnete 55 19-233 \n",
+ "536 6419 A Corfitzen Lecce Corfitzen -1 0 \n",
+ "537 6427 A Stewart Salernitana Stewart -1 0 \n",
+ "538 6434 A Yildiz Juventus Yildiz -1 0 \n",
"\n",
" birth_year games ... gk_passes_length_avg gk_goal_kicks \\\n",
- "0 1995 0 ... 30.5 20 \n",
- "1 1997 0 ... 24.4 8 \n",
- "2 1988 0 ... 31.4 21 \n",
- "3 1990 0 ... 31.6 3 \n",
- "4 1994 0 ... 26.1 11 \n",
+ "0 1988 0 ... 30.8 29 \n",
+ "1 1990 0 ... 33.1 6 \n",
+ "2 1997 0 ... 24.7 11 \n",
+ "3 1994 0 ... 26.4 15 \n",
+ "4 1995 0 ... 29.2 23 \n",
".. ... ... ... ... ... \n",
- "530 0 0 ... 0.0 0 \n",
- "531 2004 1 ... 0.0 0 \n",
- "532 0 0 ... 0.0 0 \n",
- "533 0 0 ... 0.0 0 \n",
- "534 0 0 ... 0.0 0 \n",
+ "534 2003 3 ... 0.0 0 \n",
+ "535 2004 1 ... 0.0 0 \n",
+ "536 0 0 ... 0.0 0 \n",
+ "537 0 0 ... 0.0 0 \n",
+ "538 0 0 ... 0.0 0 \n",
"\n",
" gk_pct_goal_kicks_launched gk_goal_kick_length_avg gk_crosses \\\n",
- "0 65.0 49.3 43 \n",
- "1 0.0 21.4 15 \n",
- "2 23.8 31.0 35 \n",
- "3 66.7 53.3 16 \n",
- "4 27.3 31.6 39 \n",
+ "0 20.7 28.3 41 \n",
+ "1 66.7 52.0 33 \n",
+ "2 0.0 20.4 27 \n",
+ "3 20.0 27.9 48 \n",
+ "4 60.9 47.0 52 \n",
".. ... ... ... \n",
- "530 0.0 0.0 0 \n",
- "531 0.0 0.0 0 \n",
- "532 0.0 0.0 0 \n",
- "533 0.0 0.0 0 \n",
"534 0.0 0.0 0 \n",
+ "535 0.0 0.0 0 \n",
+ "536 0.0 0.0 0 \n",
+ "537 0.0 0.0 0 \n",
+ "538 0.0 0.0 0 \n",
"\n",
" gk_crosses_stopped gk_crosses_stopped_pct \\\n",
- "0 12 27.9 \n",
- "1 1 6.7 \n",
- "2 1 2.9 \n",
- "3 1 6.3 \n",
- "4 2 5.1 \n",
+ "0 2 4.9 \n",
+ "1 1 3.0 \n",
+ "2 1 3.7 \n",
+ "3 2 4.2 \n",
+ "4 12 23.1 \n",
".. ... ... \n",
- "530 0 0.0 \n",
- "531 0 0.0 \n",
- "532 0 0.0 \n",
- "533 0 0.0 \n",
"534 0 0.0 \n",
+ "535 0 0.0 \n",
+ "536 0 0.0 \n",
+ "537 0 0.0 \n",
+ "538 0 0.0 \n",
"\n",
" gk_def_actions_outside_pen_area gk_def_actions_outside_pen_area_per90 \\\n",
- "0 3 1.00 \n",
- "1 5 1.67 \n",
- "2 0 0.00 \n",
- "3 0 0.00 \n",
- "4 6 2.00 \n",
+ "0 0 0.00 \n",
+ "1 0 0.00 \n",
+ "2 7 1.75 \n",
+ "3 6 1.50 \n",
+ "4 3 0.75 \n",
".. ... ... \n",
- "530 0 0.00 \n",
- "531 0 0.00 \n",
- "532 0 0.00 \n",
- "533 0 0.00 \n",
"534 0 0.00 \n",
+ "535 0 0.00 \n",
+ "536 0 0.00 \n",
+ "537 0 0.00 \n",
+ "538 0 0.00 \n",
"\n",
" gk_avg_distance_def_actions \n",
- "0 10.3 \n",
- "1 18.1 \n",
- "2 6.8 \n",
- "3 10.8 \n",
- "4 16.3 \n",
+ "0 6.5 \n",
+ "1 9.6 \n",
+ "2 18.2 \n",
+ "3 15.7 \n",
+ "4 9.8 \n",
".. ... \n",
- "530 0.0 \n",
- "531 0.0 \n",
- "532 0.0 \n",
- "533 0.0 \n",
"534 0.0 \n",
+ "535 0.0 \n",
+ "536 0.0 \n",
+ "537 0.0 \n",
+ "538 0.0 \n",
"\n",
- "[535 rows x 158 columns]"
+ "[539 rows x 158 columns]"
]
},
- "execution_count": 49,
+ "execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
@@ -2161,7 +2067,7 @@
},
{
"cell_type": "code",
- "execution_count": 50,
+ "execution_count": 17,
"id": "6a0e43cd",
"metadata": {},
"outputs": [],
@@ -2181,7 +2087,7 @@
},
{
"cell_type": "code",
- "execution_count": 51,
+ "execution_count": 18,
"id": "61fac91a",
"metadata": {},
"outputs": [
@@ -2189,8 +2095,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "vote_avg 6.020000\n",
- "vote_std 0.206692\n",
+ "vote_avg 6.090909\n",
+ "vote_std 0.360285\n",
"dtype: float64\n"
]
},
@@ -2227,83 +2133,83 @@
" \n",
" \n",
" 1 \n",
- " 5.833333 \n",
- " 0.235702 \n",
+ " 6.750000 \n",
+ " 0.250000 \n",
" \n",
" \n",
" 2 \n",
+ " 5.750000 \n",
+ " 0.250000 \n",
+ " \n",
+ " \n",
+ " 3 \n",
+ " 6.375000 \n",
+ " 0.414578 \n",
+ " \n",
+ " \n",
+ " 4 \n",
" 6.000000 \n",
" 0.000000 \n",
" \n",
" \n",
- " 3 \n",
- " 7.000000 \n",
- " 0.000000 \n",
- " \n",
- " \n",
- " 4 \n",
- " 6.166667 \n",
- " 0.235702 \n",
- " \n",
- " \n",
" 5 \n",
- " 5.666667 \n",
- " 0.471405 \n",
+ " 5.875000 \n",
+ " 0.544862 \n",
" \n",
" \n",
" 6 \n",
+ " 6.125000 \n",
+ " 0.216506 \n",
+ " \n",
+ " \n",
+ " 7 \n",
+ " 6.000000 \n",
+ " 0.353553 \n",
+ " \n",
+ " \n",
+ " 8 \n",
" 6.500000 \n",
" 0.707107 \n",
" \n",
" \n",
- " 7 \n",
- " 6.166667 \n",
- " 0.235702 \n",
- " \n",
- " \n",
- " 8 \n",
- " 6.000000 \n",
- " 0.408248 \n",
- " \n",
- " \n",
" 9 \n",
- " 6.000000 \n",
- " 0.000000 \n",
+ " 6.625000 \n",
+ " 0.414578 \n",
" \n",
" \n",
" 10 \n",
- " 6.500000 \n",
- " 0.408248 \n",
+ " 5.625000 \n",
+ " 0.414578 \n",
" \n",
" \n",
" 11 \n",
- " 5.500000 \n",
- " 0.408248 \n",
+ " 5.750000 \n",
+ " 0.250000 \n",
" \n",
" \n",
" 12 \n",
- " 6.500000 \n",
- " 0.000000 \n",
+ " 5.875000 \n",
+ " 0.819680 \n",
" \n",
" \n",
" 13 \n",
- " 5.666667 \n",
- " 0.849837 \n",
+ " 6.500000 \n",
+ " 0.353553 \n",
" \n",
" \n",
" 14 \n",
- " 6.333333 \n",
- " 0.235702 \n",
+ " 5.875000 \n",
+ " 0.216506 \n",
" \n",
" \n",
" 15 \n",
- " 6.000000 \n",
- " 0.000000 \n",
+ " 6.125000 \n",
+ " 0.649519 \n",
" \n",
" \n",
" 16 \n",
- " 5.000000 \n",
- " 0.000000 \n",
+ " 6.333333 \n",
+ " 0.849837 \n",
" \n",
" \n",
" 17 \n",
@@ -2317,34 +2223,19 @@
" \n",
" \n",
" 19 \n",
- " 5.750000 \n",
- " 0.250000 \n",
- " \n",
- " \n",
- " 20 \n",
" 6.000000 \n",
" 0.000000 \n",
" \n",
" \n",
+ " 20 \n",
+ " 6.000000 \n",
+ " 0.500000 \n",
+ " \n",
+ " \n",
" 21 \n",
- " 6.500000 \n",
- " 0.000000 \n",
- " \n",
- " \n",
- " 22 \n",
- " 6.500000 \n",
- " 0.000000 \n",
- " \n",
- " \n",
- " 23 \n",
" 5.750000 \n",
" 0.250000 \n",
" \n",
- " \n",
- " 24 \n",
- " 5.000000 \n",
- " 0.000000 \n",
- " \n",
" \n",
"\n",
""
@@ -2352,39 +2243,36 @@
"text/plain": [
" vote_avg vote_std\n",
"0 6.000000 0.000000\n",
- "1 5.833333 0.235702\n",
- "2 6.000000 0.000000\n",
- "3 7.000000 0.000000\n",
- "4 6.166667 0.235702\n",
- "5 5.666667 0.471405\n",
- "6 6.500000 0.707107\n",
- "7 6.166667 0.235702\n",
- "8 6.000000 0.408248\n",
- "9 6.000000 0.000000\n",
- "10 6.500000 0.408248\n",
- "11 5.500000 0.408248\n",
- "12 6.500000 0.000000\n",
- "13 5.666667 0.849837\n",
- "14 6.333333 0.235702\n",
- "15 6.000000 0.000000\n",
- "16 5.000000 0.000000\n",
+ "1 6.750000 0.250000\n",
+ "2 5.750000 0.250000\n",
+ "3 6.375000 0.414578\n",
+ "4 6.000000 0.000000\n",
+ "5 5.875000 0.544862\n",
+ "6 6.125000 0.216506\n",
+ "7 6.000000 0.353553\n",
+ "8 6.500000 0.707107\n",
+ "9 6.625000 0.414578\n",
+ "10 5.625000 0.414578\n",
+ "11 5.750000 0.250000\n",
+ "12 5.875000 0.819680\n",
+ "13 6.500000 0.353553\n",
+ "14 5.875000 0.216506\n",
+ "15 6.125000 0.649519\n",
+ "16 6.333333 0.849837\n",
"17 5.833333 0.235702\n",
"18 6.333333 0.235702\n",
- "19 5.750000 0.250000\n",
- "20 6.000000 0.000000\n",
- "21 6.500000 0.000000\n",
- "22 6.500000 0.000000\n",
- "23 5.750000 0.250000\n",
- "24 5.000000 0.000000"
+ "19 6.000000 0.000000\n",
+ "20 6.000000 0.500000\n",
+ "21 5.750000 0.250000"
]
},
- "execution_count": 51,
+ "execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "min_votes = 2 # TO BE UPDATED WHEN SERIE A HAS MORE CALENDAR WEEKS PLAYED\n",
+ "min_votes = 3 # TO BE UPDATED WHEN SERIE A HAS MORE CALENDAR WEEKS PLAYED\n",
"\n",
"perf_df_P = pd.DataFrame(columns = ['vote_avg', 'vote_std'])\n",
"\n",
@@ -2417,7 +2305,7 @@
},
{
"cell_type": "code",
- "execution_count": 52,
+ "execution_count": 19,
"id": "c9312080",
"metadata": {},
"outputs": [
@@ -2454,23 +2342,23 @@
" \n",
" \n",
" 1 \n",
- " 5.833333 \n",
- " 0.235702 \n",
+ " 6.750000 \n",
+ " 0.250000 \n",
" \n",
" \n",
" 2 \n",
- " 6.000000 \n",
- " 0.000000 \n",
+ " 5.750000 \n",
+ " 0.250000 \n",
" \n",
" \n",
" 3 \n",
- " 7.000000 \n",
- " 0.000000 \n",
+ " 6.375000 \n",
+ " 0.414578 \n",
" \n",
" \n",
" 4 \n",
- " 6.166667 \n",
- " 0.235702 \n",
+ " 6.000000 \n",
+ " 0.000000 \n",
" \n",
" \n",
" ... \n",
@@ -2478,53 +2366,53 @@
" ... \n",
" \n",
" \n",
- " 530 \n",
- " 6.217118 \n",
- " 0.000000 \n",
+ " 534 \n",
+ " 5.750000 \n",
+ " 0.250000 \n",
" \n",
" \n",
- " 531 \n",
+ " 535 \n",
" 6.000000 \n",
" 0.000000 \n",
" \n",
" \n",
- " 532 \n",
- " 5.378980 \n",
+ " 536 \n",
+ " 5.799850 \n",
" 0.000000 \n",
" \n",
" \n",
- " 533 \n",
- " 5.558549 \n",
+ " 537 \n",
+ " 6.447669 \n",
" 0.000000 \n",
" \n",
" \n",
- " 534 \n",
- " 5.292137 \n",
+ " 538 \n",
+ " 6.437600 \n",
" 0.000000 \n",
" \n",
" \n",
"\n",
- "535 rows × 2 columns
\n",
+ "539 rows × 2 columns
\n",
""
],
"text/plain": [
" vote_avg vote_std\n",
"0 6.000000 0.000000\n",
- "1 5.833333 0.235702\n",
- "2 6.000000 0.000000\n",
- "3 7.000000 0.000000\n",
- "4 6.166667 0.235702\n",
+ "1 6.750000 0.250000\n",
+ "2 5.750000 0.250000\n",
+ "3 6.375000 0.414578\n",
+ "4 6.000000 0.000000\n",
".. ... ...\n",
- "530 6.217118 0.000000\n",
- "531 6.000000 0.000000\n",
- "532 5.378980 0.000000\n",
- "533 5.558549 0.000000\n",
- "534 5.292137 0.000000\n",
+ "534 5.750000 0.250000\n",
+ "535 6.000000 0.000000\n",
+ "536 5.799850 0.000000\n",
+ "537 6.447669 0.000000\n",
+ "538 6.437600 0.000000\n",
"\n",
- "[535 rows x 2 columns]"
+ "[539 rows x 2 columns]"
]
},
- "execution_count": 52,
+ "execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
@@ -2569,7 +2457,7 @@
},
{
"cell_type": "code",
- "execution_count": 53,
+ "execution_count": 20,
"id": "b2570ce5",
"metadata": {},
"outputs": [
@@ -2620,123 +2508,123 @@
" \n",
" \n",
" 0 \n",
- " 4312 \n",
- " P \n",
- " Maignan \n",
- " Milan \n",
- " Maignan \n",
- " \n",
- " 406 \n",
- " 28-068 \n",
- " 1995 \n",
- " 0 \n",
- " ... \n",
- " 65.0 \n",
- " 49.3 \n",
- " 43 \n",
- " 12 \n",
- " 27.9 \n",
- " 3 \n",
- " 1.00 \n",
- " 10.3 \n",
- " 6.000000 \n",
- " 0.000000 \n",
- " \n",
- " \n",
- " 1 \n",
- " 572 \n",
- " P \n",
- " Meret \n",
- " Napoli \n",
- " Meret \n",
- " \n",
- " 408 \n",
- " 26-171 \n",
- " 1997 \n",
- " 0 \n",
- " ... \n",
- " 0.0 \n",
- " 21.4 \n",
- " 15 \n",
- " 1 \n",
- " 6.7 \n",
- " 5 \n",
- " 1.67 \n",
- " 18.1 \n",
- " 5.833333 \n",
- " 0.235702 \n",
- " \n",
- " \n",
- " 2 \n",
" 2428 \n",
" P \n",
" Sommer \n",
" Inter \n",
" Sommer \n",
" \n",
- " 420 \n",
- " 34-266 \n",
+ " 452 \n",
+ " 34-278 \n",
" 1988 \n",
" 0 \n",
" ... \n",
- " 23.8 \n",
- " 31.0 \n",
- " 35 \n",
- " 1 \n",
- " 2.9 \n",
+ " 20.7 \n",
+ " 28.3 \n",
+ " 41 \n",
+ " 2 \n",
+ " 4.9 \n",
" 0 \n",
" 0.00 \n",
- " 6.8 \n",
+ " 6.5 \n",
" 6.000000 \n",
" 0.000000 \n",
" \n",
" \n",
- " 3 \n",
+ " 1 \n",
" 453 \n",
" P \n",
" Szczesny \n",
" Juventus \n",
" Szczesny \n",
" \n",
- " 421 \n",
- " 33-144 \n",
+ " 454 \n",
+ " 33-156 \n",
" 1990 \n",
" 0 \n",
" ... \n",
" 66.7 \n",
- " 53.3 \n",
- " 16 \n",
+ " 52.0 \n",
+ " 33 \n",
" 1 \n",
- " 6.3 \n",
+ " 3.0 \n",
" 0 \n",
" 0.00 \n",
- " 10.8 \n",
- " 7.000000 \n",
- " 0.000000 \n",
+ " 9.6 \n",
+ " 6.750000 \n",
+ " 0.250000 \n",
" \n",
" \n",
- " 4 \n",
+ " 2 \n",
+ " 572 \n",
+ " P \n",
+ " Meret \n",
+ " Napoli \n",
+ " Meret \n",
+ " \n",
+ " 440 \n",
+ " 26-183 \n",
+ " 1997 \n",
+ " 0 \n",
+ " ... \n",
+ " 0.0 \n",
+ " 20.4 \n",
+ " 27 \n",
+ " 1 \n",
+ " 3.7 \n",
+ " 7 \n",
+ " 1.75 \n",
+ " 18.2 \n",
+ " 5.750000 \n",
+ " 0.250000 \n",
+ " \n",
+ " \n",
+ " 3 \n",
" 2814 \n",
" P \n",
" Provedel \n",
" Lazio \n",
" Provedel \n",
" \n",
- " 416 \n",
- " 29-176 \n",
+ " 448 \n",
+ " 29-188 \n",
" 1994 \n",
" 0 \n",
" ... \n",
- " 27.3 \n",
- " 31.6 \n",
- " 39 \n",
+ " 20.0 \n",
+ " 27.9 \n",
+ " 48 \n",
" 2 \n",
- " 5.1 \n",
+ " 4.2 \n",
" 6 \n",
- " 2.00 \n",
- " 16.3 \n",
- " 6.166667 \n",
- " 0.235702 \n",
+ " 1.50 \n",
+ " 15.7 \n",
+ " 6.375000 \n",
+ " 0.414578 \n",
+ " \n",
+ " \n",
+ " 4 \n",
+ " 4312 \n",
+ " P \n",
+ " Maignan \n",
+ " Milan \n",
+ " Maignan \n",
+ " \n",
+ " 438 \n",
+ " 28-080 \n",
+ " 1995 \n",
+ " 0 \n",
+ " ... \n",
+ " 60.9 \n",
+ " 47.0 \n",
+ " 52 \n",
+ " 12 \n",
+ " 23.1 \n",
+ " 3 \n",
+ " 0.75 \n",
+ " 9.8 \n",
+ " 6.000000 \n",
+ " 0.000000 \n",
" \n",
" \n",
" ... \n",
@@ -2763,17 +2651,17 @@
" ... \n",
" \n",
" \n",
- " 530 \n",
- " 6242 \n",
+ " 534 \n",
+ " 6395 \n",
" A \n",
- " Bidaoui \n",
- " Frosinone \n",
- " Bidaoui \n",
- " \n",
- " -1 \n",
- " 0 \n",
- " 0 \n",
- " 0 \n",
+ " Shpendi S. \n",
+ " Empoli \n",
+ " Shpendi \n",
+ " S \n",
+ " 361 \n",
+ " 20-125 \n",
+ " 2003 \n",
+ " 3 \n",
" ... \n",
" 0.0 \n",
" 0.0 \n",
@@ -2783,19 +2671,19 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 6.217118 \n",
- " 0.000000 \n",
+ " 5.750000 \n",
+ " 0.250000 \n",
" \n",
" \n",
- " 531 \n",
+ " 535 \n",
" 6418 \n",
" A \n",
" Burnete \n",
" Lecce \n",
" Burnete \n",
" \n",
- " 51 \n",
- " 19-221 \n",
+ " 55 \n",
+ " 19-233 \n",
" 2004 \n",
" 1 \n",
" ... \n",
@@ -2811,7 +2699,7 @@
" 0.000000 \n",
" \n",
" \n",
- " 532 \n",
+ " 536 \n",
" 6419 \n",
" A \n",
" Corfitzen \n",
@@ -2831,11 +2719,11 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.378980 \n",
+ " 5.799850 \n",
" 0.000000 \n",
" \n",
" \n",
- " 533 \n",
+ " 537 \n",
" 6427 \n",
" A \n",
" Stewart \n",
@@ -2855,11 +2743,11 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.558549 \n",
+ " 6.447669 \n",
" 0.000000 \n",
" \n",
" \n",
- " 534 \n",
+ " 538 \n",
" 6434 \n",
" A \n",
" Yildiz \n",
@@ -2879,97 +2767,97 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.292137 \n",
+ " 6.437600 \n",
" 0.000000 \n",
" \n",
" \n",
"\n",
- "535 rows × 160 columns
\n",
+ "539 rows × 160 columns
\n",
""
],
"text/plain": [
- " id r name team surname initial fb_ID age \\\n",
- "0 4312 P Maignan Milan Maignan 406 28-068 \n",
- "1 572 P Meret Napoli Meret 408 26-171 \n",
- "2 2428 P Sommer Inter Sommer 420 34-266 \n",
- "3 453 P Szczesny Juventus Szczesny 421 33-144 \n",
- "4 2814 P Provedel Lazio Provedel 416 29-176 \n",
- ".. ... .. ... ... ... ... ... ... \n",
- "530 6242 A Bidaoui Frosinone Bidaoui -1 0 \n",
- "531 6418 A Burnete Lecce Burnete 51 19-221 \n",
- "532 6419 A Corfitzen Lecce Corfitzen -1 0 \n",
- "533 6427 A Stewart Salernitana Stewart -1 0 \n",
- "534 6434 A Yildiz Juventus Yildiz -1 0 \n",
+ " id r name team surname initial fb_ID age \\\n",
+ "0 2428 P Sommer Inter Sommer 452 34-278 \n",
+ "1 453 P Szczesny Juventus Szczesny 454 33-156 \n",
+ "2 572 P Meret Napoli Meret 440 26-183 \n",
+ "3 2814 P Provedel Lazio Provedel 448 29-188 \n",
+ "4 4312 P Maignan Milan Maignan 438 28-080 \n",
+ ".. ... .. ... ... ... ... ... ... \n",
+ "534 6395 A Shpendi S. Empoli Shpendi S 361 20-125 \n",
+ "535 6418 A Burnete Lecce Burnete 55 19-233 \n",
+ "536 6419 A Corfitzen Lecce Corfitzen -1 0 \n",
+ "537 6427 A Stewart Salernitana Stewart -1 0 \n",
+ "538 6434 A Yildiz Juventus Yildiz -1 0 \n",
"\n",
" birth_year games ... gk_pct_goal_kicks_launched \\\n",
- "0 1995 0 ... 65.0 \n",
- "1 1997 0 ... 0.0 \n",
- "2 1988 0 ... 23.8 \n",
- "3 1990 0 ... 66.7 \n",
- "4 1994 0 ... 27.3 \n",
+ "0 1988 0 ... 20.7 \n",
+ "1 1990 0 ... 66.7 \n",
+ "2 1997 0 ... 0.0 \n",
+ "3 1994 0 ... 20.0 \n",
+ "4 1995 0 ... 60.9 \n",
".. ... ... ... ... \n",
- "530 0 0 ... 0.0 \n",
- "531 2004 1 ... 0.0 \n",
- "532 0 0 ... 0.0 \n",
- "533 0 0 ... 0.0 \n",
- "534 0 0 ... 0.0 \n",
+ "534 2003 3 ... 0.0 \n",
+ "535 2004 1 ... 0.0 \n",
+ "536 0 0 ... 0.0 \n",
+ "537 0 0 ... 0.0 \n",
+ "538 0 0 ... 0.0 \n",
"\n",
" gk_goal_kick_length_avg gk_crosses gk_crosses_stopped \\\n",
- "0 49.3 43 12 \n",
- "1 21.4 15 1 \n",
- "2 31.0 35 1 \n",
- "3 53.3 16 1 \n",
- "4 31.6 39 2 \n",
+ "0 28.3 41 2 \n",
+ "1 52.0 33 1 \n",
+ "2 20.4 27 1 \n",
+ "3 27.9 48 2 \n",
+ "4 47.0 52 12 \n",
".. ... ... ... \n",
- "530 0.0 0 0 \n",
- "531 0.0 0 0 \n",
- "532 0.0 0 0 \n",
- "533 0.0 0 0 \n",
"534 0.0 0 0 \n",
+ "535 0.0 0 0 \n",
+ "536 0.0 0 0 \n",
+ "537 0.0 0 0 \n",
+ "538 0.0 0 0 \n",
"\n",
" gk_crosses_stopped_pct gk_def_actions_outside_pen_area \\\n",
- "0 27.9 3 \n",
- "1 6.7 5 \n",
- "2 2.9 0 \n",
- "3 6.3 0 \n",
- "4 5.1 6 \n",
+ "0 4.9 0 \n",
+ "1 3.0 0 \n",
+ "2 3.7 7 \n",
+ "3 4.2 6 \n",
+ "4 23.1 3 \n",
".. ... ... \n",
- "530 0.0 0 \n",
- "531 0.0 0 \n",
- "532 0.0 0 \n",
- "533 0.0 0 \n",
"534 0.0 0 \n",
+ "535 0.0 0 \n",
+ "536 0.0 0 \n",
+ "537 0.0 0 \n",
+ "538 0.0 0 \n",
"\n",
" gk_def_actions_outside_pen_area_per90 gk_avg_distance_def_actions \\\n",
- "0 1.00 10.3 \n",
- "1 1.67 18.1 \n",
- "2 0.00 6.8 \n",
- "3 0.00 10.8 \n",
- "4 2.00 16.3 \n",
+ "0 0.00 6.5 \n",
+ "1 0.00 9.6 \n",
+ "2 1.75 18.2 \n",
+ "3 1.50 15.7 \n",
+ "4 0.75 9.8 \n",
".. ... ... \n",
- "530 0.00 0.0 \n",
- "531 0.00 0.0 \n",
- "532 0.00 0.0 \n",
- "533 0.00 0.0 \n",
"534 0.00 0.0 \n",
+ "535 0.00 0.0 \n",
+ "536 0.00 0.0 \n",
+ "537 0.00 0.0 \n",
+ "538 0.00 0.0 \n",
"\n",
" vote_avg vote_std \n",
"0 6.000000 0.000000 \n",
- "1 5.833333 0.235702 \n",
- "2 6.000000 0.000000 \n",
- "3 7.000000 0.000000 \n",
- "4 6.166667 0.235702 \n",
+ "1 6.750000 0.250000 \n",
+ "2 5.750000 0.250000 \n",
+ "3 6.375000 0.414578 \n",
+ "4 6.000000 0.000000 \n",
".. ... ... \n",
- "530 6.217118 0.000000 \n",
- "531 6.000000 0.000000 \n",
- "532 5.378980 0.000000 \n",
- "533 5.558549 0.000000 \n",
- "534 5.292137 0.000000 \n",
+ "534 5.750000 0.250000 \n",
+ "535 6.000000 0.000000 \n",
+ "536 5.799850 0.000000 \n",
+ "537 6.447669 0.000000 \n",
+ "538 6.437600 0.000000 \n",
"\n",
- "[535 rows x 160 columns]"
+ "[539 rows x 160 columns]"
]
},
- "execution_count": 53,
+ "execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
@@ -2982,7 +2870,7 @@
},
{
"cell_type": "code",
- "execution_count": 54,
+ "execution_count": 21,
"id": "f7620abe",
"metadata": {},
"outputs": [
@@ -2992,7 +2880,7 @@
"'gk_games'"
]
},
- "execution_count": 54,
+ "execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
@@ -3015,7 +2903,7 @@
},
{
"cell_type": "code",
- "execution_count": 55,
+ "execution_count": 22,
"id": "700b7a7d",
"metadata": {},
"outputs": [
@@ -3023,8 +2911,6 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Carnesecchi, 0.0\n",
- "Cragno, 0.0\n",
"Sportiello, 0.0\n",
"Mirante, 0.0\n",
"Sepe, 0.0\n",
@@ -3052,7 +2938,6 @@
"Boer, 0.0\n",
"Bagnolini, 0.0\n",
"Svilar, 0.0\n",
- "Sorrentino A., 0.0\n",
"Martinelli T., 0.0\n",
"Popa, 0.0\n",
"Stubljar, 0.0\n",
@@ -3088,7 +2973,7 @@
},
{
"cell_type": "code",
- "execution_count": 56,
+ "execution_count": 23,
"id": "2d9eee99",
"metadata": {},
"outputs": [
@@ -3139,123 +3024,123 @@
" \n",
" \n",
" 0 \n",
- " 4312 \n",
- " P \n",
- " Maignan \n",
- " Milan \n",
- " Maignan \n",
- " \n",
- " 406 \n",
- " 28-068 \n",
- " 1995 \n",
- " 0 \n",
- " ... \n",
- " 65.0 \n",
- " 49.3 \n",
- " 43 \n",
- " 12 \n",
- " 27.9 \n",
- " 3 \n",
- " 1.00 \n",
- " 10.3 \n",
- " 6.000000 \n",
- " 0.000000 \n",
- " \n",
- " \n",
- " 1 \n",
- " 572 \n",
- " P \n",
- " Meret \n",
- " Napoli \n",
- " Meret \n",
- " \n",
- " 408 \n",
- " 26-171 \n",
- " 1997 \n",
- " 0 \n",
- " ... \n",
- " 0.0 \n",
- " 21.4 \n",
- " 15 \n",
- " 1 \n",
- " 6.7 \n",
- " 5 \n",
- " 1.67 \n",
- " 18.1 \n",
- " 5.833333 \n",
- " 0.235702 \n",
- " \n",
- " \n",
- " 2 \n",
" 2428 \n",
" P \n",
" Sommer \n",
" Inter \n",
" Sommer \n",
" \n",
- " 420 \n",
- " 34-266 \n",
+ " 452 \n",
+ " 34-278 \n",
" 1988 \n",
" 0 \n",
" ... \n",
- " 23.8 \n",
- " 31.0 \n",
- " 35 \n",
- " 1 \n",
- " 2.9 \n",
+ " 20.7 \n",
+ " 28.3 \n",
+ " 41 \n",
+ " 2 \n",
+ " 4.9 \n",
" 0 \n",
" 0.00 \n",
- " 6.8 \n",
+ " 6.5 \n",
" 6.000000 \n",
" 0.000000 \n",
" \n",
" \n",
- " 3 \n",
+ " 1 \n",
" 453 \n",
" P \n",
" Szczesny \n",
" Juventus \n",
" Szczesny \n",
" \n",
- " 421 \n",
- " 33-144 \n",
+ " 454 \n",
+ " 33-156 \n",
" 1990 \n",
" 0 \n",
" ... \n",
" 66.7 \n",
- " 53.3 \n",
- " 16 \n",
+ " 52.0 \n",
+ " 33 \n",
" 1 \n",
- " 6.3 \n",
+ " 3.0 \n",
" 0 \n",
" 0.00 \n",
- " 10.8 \n",
- " 7.000000 \n",
- " 0.000000 \n",
+ " 9.6 \n",
+ " 6.750000 \n",
+ " 0.250000 \n",
" \n",
" \n",
- " 4 \n",
+ " 2 \n",
+ " 572 \n",
+ " P \n",
+ " Meret \n",
+ " Napoli \n",
+ " Meret \n",
+ " \n",
+ " 440 \n",
+ " 26-183 \n",
+ " 1997 \n",
+ " 0 \n",
+ " ... \n",
+ " 0.0 \n",
+ " 20.4 \n",
+ " 27 \n",
+ " 1 \n",
+ " 3.7 \n",
+ " 7 \n",
+ " 1.75 \n",
+ " 18.2 \n",
+ " 5.750000 \n",
+ " 0.250000 \n",
+ " \n",
+ " \n",
+ " 3 \n",
" 2814 \n",
" P \n",
" Provedel \n",
" Lazio \n",
" Provedel \n",
" \n",
- " 416 \n",
- " 29-176 \n",
+ " 448 \n",
+ " 29-188 \n",
" 1994 \n",
" 0 \n",
" ... \n",
- " 27.3 \n",
- " 31.6 \n",
- " 39 \n",
+ " 20.0 \n",
+ " 27.9 \n",
+ " 48 \n",
" 2 \n",
- " 5.1 \n",
+ " 4.2 \n",
" 6 \n",
- " 2.00 \n",
- " 16.3 \n",
- " 6.166667 \n",
- " 0.235702 \n",
+ " 1.50 \n",
+ " 15.7 \n",
+ " 6.375000 \n",
+ " 0.414578 \n",
+ " \n",
+ " \n",
+ " 4 \n",
+ " 4312 \n",
+ " P \n",
+ " Maignan \n",
+ " Milan \n",
+ " Maignan \n",
+ " \n",
+ " 438 \n",
+ " 28-080 \n",
+ " 1995 \n",
+ " 0 \n",
+ " ... \n",
+ " 60.9 \n",
+ " 47.0 \n",
+ " 52 \n",
+ " 12 \n",
+ " 23.1 \n",
+ " 3 \n",
+ " 0.75 \n",
+ " 9.8 \n",
+ " 6.000000 \n",
+ " 0.000000 \n",
" \n",
" \n",
" ... \n",
@@ -3282,17 +3167,17 @@
" ... \n",
" \n",
" \n",
- " 530 \n",
- " 6242 \n",
+ " 534 \n",
+ " 6395 \n",
" A \n",
- " Bidaoui \n",
- " Frosinone \n",
- " Bidaoui \n",
- " \n",
- " -1 \n",
- " 0 \n",
- " 0 \n",
- " 0 \n",
+ " Shpendi S. \n",
+ " Empoli \n",
+ " Shpendi \n",
+ " S \n",
+ " 361 \n",
+ " 20-125 \n",
+ " 2003 \n",
+ " 3 \n",
" ... \n",
" 0.0 \n",
" 0.0 \n",
@@ -3302,19 +3187,19 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 6.217118 \n",
- " 0.000000 \n",
+ " 5.750000 \n",
+ " 0.250000 \n",
" \n",
" \n",
- " 531 \n",
+ " 535 \n",
" 6418 \n",
" A \n",
" Burnete \n",
" Lecce \n",
" Burnete \n",
" \n",
- " 51 \n",
- " 19-221 \n",
+ " 55 \n",
+ " 19-233 \n",
" 2004 \n",
" 1 \n",
" ... \n",
@@ -3330,7 +3215,7 @@
" 0.000000 \n",
" \n",
" \n",
- " 532 \n",
+ " 536 \n",
" 6419 \n",
" A \n",
" Corfitzen \n",
@@ -3350,11 +3235,11 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.378980 \n",
+ " 5.799850 \n",
" 0.000000 \n",
" \n",
" \n",
- " 533 \n",
+ " 537 \n",
" 6427 \n",
" A \n",
" Stewart \n",
@@ -3374,11 +3259,11 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.558549 \n",
+ " 6.447669 \n",
" 0.000000 \n",
" \n",
" \n",
- " 534 \n",
+ " 538 \n",
" 6434 \n",
" A \n",
" Yildiz \n",
@@ -3398,97 +3283,97 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.292137 \n",
+ " 6.437600 \n",
" 0.000000 \n",
" \n",
" \n",
"\n",
- "535 rows × 160 columns
\n",
+ "539 rows × 160 columns
\n",
""
],
"text/plain": [
- " id r name team surname initial fb_ID age \\\n",
- "0 4312 P Maignan Milan Maignan 406 28-068 \n",
- "1 572 P Meret Napoli Meret 408 26-171 \n",
- "2 2428 P Sommer Inter Sommer 420 34-266 \n",
- "3 453 P Szczesny Juventus Szczesny 421 33-144 \n",
- "4 2814 P Provedel Lazio Provedel 416 29-176 \n",
- ".. ... .. ... ... ... ... ... ... \n",
- "530 6242 A Bidaoui Frosinone Bidaoui -1 0 \n",
- "531 6418 A Burnete Lecce Burnete 51 19-221 \n",
- "532 6419 A Corfitzen Lecce Corfitzen -1 0 \n",
- "533 6427 A Stewart Salernitana Stewart -1 0 \n",
- "534 6434 A Yildiz Juventus Yildiz -1 0 \n",
+ " id r name team surname initial fb_ID age \\\n",
+ "0 2428 P Sommer Inter Sommer 452 34-278 \n",
+ "1 453 P Szczesny Juventus Szczesny 454 33-156 \n",
+ "2 572 P Meret Napoli Meret 440 26-183 \n",
+ "3 2814 P Provedel Lazio Provedel 448 29-188 \n",
+ "4 4312 P Maignan Milan Maignan 438 28-080 \n",
+ ".. ... .. ... ... ... ... ... ... \n",
+ "534 6395 A Shpendi S. Empoli Shpendi S 361 20-125 \n",
+ "535 6418 A Burnete Lecce Burnete 55 19-233 \n",
+ "536 6419 A Corfitzen Lecce Corfitzen -1 0 \n",
+ "537 6427 A Stewart Salernitana Stewart -1 0 \n",
+ "538 6434 A Yildiz Juventus Yildiz -1 0 \n",
"\n",
" birth_year games ... gk_pct_goal_kicks_launched \\\n",
- "0 1995 0 ... 65.0 \n",
- "1 1997 0 ... 0.0 \n",
- "2 1988 0 ... 23.8 \n",
- "3 1990 0 ... 66.7 \n",
- "4 1994 0 ... 27.3 \n",
+ "0 1988 0 ... 20.7 \n",
+ "1 1990 0 ... 66.7 \n",
+ "2 1997 0 ... 0.0 \n",
+ "3 1994 0 ... 20.0 \n",
+ "4 1995 0 ... 60.9 \n",
".. ... ... ... ... \n",
- "530 0 0 ... 0.0 \n",
- "531 2004 1 ... 0.0 \n",
- "532 0 0 ... 0.0 \n",
- "533 0 0 ... 0.0 \n",
- "534 0 0 ... 0.0 \n",
+ "534 2003 3 ... 0.0 \n",
+ "535 2004 1 ... 0.0 \n",
+ "536 0 0 ... 0.0 \n",
+ "537 0 0 ... 0.0 \n",
+ "538 0 0 ... 0.0 \n",
"\n",
" gk_goal_kick_length_avg gk_crosses gk_crosses_stopped \\\n",
- "0 49.3 43 12 \n",
- "1 21.4 15 1 \n",
- "2 31.0 35 1 \n",
- "3 53.3 16 1 \n",
- "4 31.6 39 2 \n",
+ "0 28.3 41 2 \n",
+ "1 52.0 33 1 \n",
+ "2 20.4 27 1 \n",
+ "3 27.9 48 2 \n",
+ "4 47.0 52 12 \n",
".. ... ... ... \n",
- "530 0.0 0 0 \n",
- "531 0.0 0 0 \n",
- "532 0.0 0 0 \n",
- "533 0.0 0 0 \n",
"534 0.0 0 0 \n",
+ "535 0.0 0 0 \n",
+ "536 0.0 0 0 \n",
+ "537 0.0 0 0 \n",
+ "538 0.0 0 0 \n",
"\n",
" gk_crosses_stopped_pct gk_def_actions_outside_pen_area \\\n",
- "0 27.9 3 \n",
- "1 6.7 5 \n",
- "2 2.9 0 \n",
- "3 6.3 0 \n",
- "4 5.1 6 \n",
+ "0 4.9 0 \n",
+ "1 3.0 0 \n",
+ "2 3.7 7 \n",
+ "3 4.2 6 \n",
+ "4 23.1 3 \n",
".. ... ... \n",
- "530 0.0 0 \n",
- "531 0.0 0 \n",
- "532 0.0 0 \n",
- "533 0.0 0 \n",
"534 0.0 0 \n",
+ "535 0.0 0 \n",
+ "536 0.0 0 \n",
+ "537 0.0 0 \n",
+ "538 0.0 0 \n",
"\n",
" gk_def_actions_outside_pen_area_per90 gk_avg_distance_def_actions \\\n",
- "0 1.00 10.3 \n",
- "1 1.67 18.1 \n",
- "2 0.00 6.8 \n",
- "3 0.00 10.8 \n",
- "4 2.00 16.3 \n",
+ "0 0.00 6.5 \n",
+ "1 0.00 9.6 \n",
+ "2 1.75 18.2 \n",
+ "3 1.50 15.7 \n",
+ "4 0.75 9.8 \n",
".. ... ... \n",
- "530 0.00 0.0 \n",
- "531 0.00 0.0 \n",
- "532 0.00 0.0 \n",
- "533 0.00 0.0 \n",
"534 0.00 0.0 \n",
+ "535 0.00 0.0 \n",
+ "536 0.00 0.0 \n",
+ "537 0.00 0.0 \n",
+ "538 0.00 0.0 \n",
"\n",
" vote_avg vote_std \n",
"0 6.000000 0.000000 \n",
- "1 5.833333 0.235702 \n",
- "2 6.000000 0.000000 \n",
- "3 7.000000 0.000000 \n",
- "4 6.166667 0.235702 \n",
+ "1 6.750000 0.250000 \n",
+ "2 5.750000 0.250000 \n",
+ "3 6.375000 0.414578 \n",
+ "4 6.000000 0.000000 \n",
".. ... ... \n",
- "530 6.217118 0.000000 \n",
- "531 6.000000 0.000000 \n",
- "532 5.378980 0.000000 \n",
- "533 5.558549 0.000000 \n",
- "534 5.292137 0.000000 \n",
+ "534 5.750000 0.250000 \n",
+ "535 6.000000 0.000000 \n",
+ "536 5.799850 0.000000 \n",
+ "537 6.447669 0.000000 \n",
+ "538 6.437600 0.000000 \n",
"\n",
- "[535 rows x 160 columns]"
+ "[539 rows x 160 columns]"
]
},
- "execution_count": 56,
+ "execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
@@ -3509,7 +3394,7 @@
},
{
"cell_type": "code",
- "execution_count": 57,
+ "execution_count": 24,
"id": "8336c025",
"metadata": {},
"outputs": [],
diff --git a/4_player_match_dataset_creation.ipynb b/4_player_match_dataset_creation.ipynb
index 216cf31..cf38fbd 100644
--- a/4_player_match_dataset_creation.ipynb
+++ b/4_player_match_dataset_creation.ipynb
@@ -32,7 +32,7 @@
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 2,
"id": "8a6867a5",
"metadata": {},
"outputs": [
@@ -108,482 +108,482 @@
" \n",
" Atalanta \n",
" Atalanta \n",
- " 20.0 \n",
- " 51.7 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 6.0 \n",
- " 6.0 \n",
+ " 23.0 \n",
+ " 49.5 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 8.0 \n",
+ " 8.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 28.0 \n",
- " 33.0 \n",
+ " 36.0 \n",
+ " 47.0 \n",
" 2.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 157.0 \n",
- " 44.0 \n",
- " 42.0 \n",
- " 51.2 \n",
+ " 212.0 \n",
+ " 65.0 \n",
+ " 60.0 \n",
+ " 52.0 \n",
" \n",
" \n",
" Bologna \n",
" Bologna \n",
- " 20.0 \n",
- " 55.3 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 22.0 \n",
+ " 56.5 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 3.0 \n",
" 2.0 \n",
" 0.0 \n",
" 1.0 \n",
" ... \n",
- " 32.0 \n",
- " 30.0 \n",
- " 7.0 \n",
+ " 50.0 \n",
+ " 40.0 \n",
+ " 12.0 \n",
" 0.0 \n",
" 1.0 \n",
" 0.0 \n",
- " 157.0 \n",
- " 23.0 \n",
- " 29.0 \n",
- " 44.2 \n",
+ " 207.0 \n",
+ " 34.0 \n",
+ " 46.0 \n",
+ " 42.5 \n",
" \n",
" \n",
" Cagliari \n",
" Cagliari \n",
- " 19.0 \n",
- " 35.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 21.0 \n",
+ " 37.8 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 1.0 \n",
" 1.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 27.0 \n",
- " 29.0 \n",
- " 4.0 \n",
+ " 38.0 \n",
+ " 41.0 \n",
+ " 5.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 165.0 \n",
- " 44.0 \n",
- " 37.0 \n",
- " 54.3 \n",
+ " 220.0 \n",
+ " 60.0 \n",
+ " 51.0 \n",
+ " 54.1 \n",
" \n",
" \n",
" Empoli \n",
" Empoli \n",
- " 26.0 \n",
- " 48.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 27.0 \n",
+ " 47.8 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 45.0 \n",
- " 38.0 \n",
- " 6.0 \n",
+ " 60.0 \n",
+ " 42.0 \n",
+ " 8.0 \n",
" 1.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 152.0 \n",
- " 42.0 \n",
- " 30.0 \n",
- " 58.3 \n",
+ " 203.0 \n",
+ " 54.0 \n",
+ " 39.0 \n",
+ " 58.1 \n",
" \n",
" \n",
" Fiorentina \n",
" Fiorentina \n",
- " 21.0 \n",
- " 62.3 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 6.0 \n",
- " 5.0 \n",
+ " 22.0 \n",
+ " 61.0 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 9.0 \n",
+ " 7.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 42.0 \n",
- " 36.0 \n",
- " 3.0 \n",
+ " 56.0 \n",
+ " 43.0 \n",
+ " 5.0 \n",
" 1.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 142.0 \n",
- " 38.0 \n",
- " 32.0 \n",
- " 54.3 \n",
+ " 202.0 \n",
+ " 56.0 \n",
+ " 53.0 \n",
+ " 51.4 \n",
" \n",
" \n",
" Frosinone \n",
" Frosinone \n",
- " 21.0 \n",
- " 46.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 3.0 \n",
- " 2.0 \n",
- " 1.0 \n",
- " 1.0 \n",
- " ... \n",
- " 41.0 \n",
- " 31.0 \n",
+ " 23.0 \n",
+ " 48.3 \n",
" 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 7.0 \n",
+ " 4.0 \n",
+ " 2.0 \n",
+ " 2.0 \n",
+ " ... \n",
+ " 50.0 \n",
+ " 39.0 \n",
+ " 6.0 \n",
" 0.0 \n",
- " 1.0 \n",
+ " 2.0 \n",
" 0.0 \n",
- " 168.0 \n",
- " 46.0 \n",
- " 42.0 \n",
- " 52.3 \n",
+ " 212.0 \n",
+ " 53.0 \n",
+ " 52.0 \n",
+ " 50.5 \n",
" \n",
" \n",
" Genoa \n",
" Genoa \n",
- " 18.0 \n",
- " 33.0 \n",
+ " 19.0 \n",
+ " 33.3 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 4.0 \n",
" 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 2.0 \n",
- " 1.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 35.0 \n",
- " 31.0 \n",
- " 6.0 \n",
+ " 43.0 \n",
+ " 43.0 \n",
+ " 9.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 148.0 \n",
- " 32.0 \n",
- " 44.0 \n",
- " 42.1 \n",
+ " 200.0 \n",
+ " 46.0 \n",
+ " 60.0 \n",
+ " 43.4 \n",
" \n",
" \n",
" Verona \n",
" Hellas Verona \n",
- " 19.0 \n",
- " 44.7 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 21.0 \n",
+ " 43.5 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 4.0 \n",
" 2.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 37.0 \n",
" 47.0 \n",
- " 6.0 \n",
+ " 63.0 \n",
+ " 7.0 \n",
" 1.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 138.0 \n",
- " 54.0 \n",
+ " 190.0 \n",
" 71.0 \n",
- " 43.2 \n",
+ " 82.0 \n",
+ " 46.4 \n",
" \n",
" \n",
" Inter \n",
" Inter \n",
- " 18.0 \n",
- " 51.3 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 8.0 \n",
- " 7.0 \n",
- " 1.0 \n",
- " 1.0 \n",
+ " 19.0 \n",
+ " 48.8 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 13.0 \n",
+ " 11.0 \n",
+ " 2.0 \n",
+ " 2.0 \n",
" ... \n",
- " 34.0 \n",
+ " 47.0 \n",
+ " 44.0 \n",
+ " 5.0 \n",
+ " 0.0 \n",
+ " 2.0 \n",
+ " 0.0 \n",
+ " 163.0 \n",
" 30.0 \n",
- " 3.0 \n",
- " 0.0 \n",
- " 1.0 \n",
- " 0.0 \n",
- " 128.0 \n",
- " 24.0 \n",
- " 36.0 \n",
- " 40.0 \n",
+ " 44.0 \n",
+ " 40.5 \n",
" \n",
" \n",
" Juventus \n",
" Juventus \n",
" 21.0 \n",
- " 53.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 6.0 \n",
+ " 48.8 \n",
" 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 9.0 \n",
+ " 7.0 \n",
" 1.0 \n",
" 2.0 \n",
" ... \n",
- " 39.0 \n",
- " 36.0 \n",
+ " 52.0 \n",
+ " 49.0 \n",
" 5.0 \n",
" 0.0 \n",
" 2.0 \n",
" 0.0 \n",
- " 134.0 \n",
- " 22.0 \n",
+ " 173.0 \n",
" 26.0 \n",
- " 45.8 \n",
+ " 38.0 \n",
+ " 40.6 \n",
" \n",
" \n",
" Lazio \n",
" Lazio \n",
- " 19.0 \n",
- " 53.3 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 3.0 \n",
- " 3.0 \n",
+ " 20.0 \n",
+ " 56.0 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 36.0 \n",
- " 31.0 \n",
- " 6.0 \n",
+ " 49.0 \n",
+ " 44.0 \n",
+ " 7.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 155.0 \n",
- " 39.0 \n",
- " 26.0 \n",
- " 60.0 \n",
+ " 196.0 \n",
+ " 51.0 \n",
+ " 30.0 \n",
+ " 63.0 \n",
" \n",
" \n",
" Lecce \n",
" Lecce \n",
- " 18.0 \n",
- " 45.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 6.0 \n",
- " 5.0 \n",
- " 1.0 \n",
- " 1.0 \n",
- " ... \n",
- " 47.0 \n",
- " 43.0 \n",
+ " 19.0 \n",
+ " 43.5 \n",
" 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 7.0 \n",
+ " 5.0 \n",
+ " 2.0 \n",
+ " 2.0 \n",
+ " ... \n",
+ " 64.0 \n",
+ " 53.0 \n",
+ " 5.0 \n",
" 0.0 \n",
- " 1.0 \n",
+ " 2.0 \n",
" 0.0 \n",
- " 150.0 \n",
- " 33.0 \n",
- " 46.0 \n",
- " 41.8 \n",
+ " 203.0 \n",
+ " 43.0 \n",
+ " 54.0 \n",
+ " 44.3 \n",
" \n",
" \n",
" Milan \n",
" Milan \n",
- " 18.0 \n",
- " 54.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 8.0 \n",
- " 5.0 \n",
+ " 19.0 \n",
+ " 55.3 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 9.0 \n",
+ " 6.0 \n",
" 3.0 \n",
" 3.0 \n",
" ... \n",
- " 40.0 \n",
- " 31.0 \n",
- " 5.0 \n",
- " 0.0 \n",
+ " 56.0 \n",
+ " 43.0 \n",
+ " 7.0 \n",
+ " 1.0 \n",
" 3.0 \n",
" 0.0 \n",
- " 145.0 \n",
- " 34.0 \n",
- " 27.0 \n",
- " 55.7 \n",
+ " 176.0 \n",
+ " 42.0 \n",
+ " 33.0 \n",
+ " 56.0 \n",
" \n",
" \n",
" Monza \n",
" Monza \n",
- " 21.0 \n",
- " 55.3 \n",
+ " 22.0 \n",
+ " 56.8 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 3.0 \n",
" 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 2.0 \n",
- " 2.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 26.0 \n",
- " 35.0 \n",
- " 6.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 144.0 \n",
" 37.0 \n",
- " 27.0 \n",
- " 57.8 \n",
+ " 52.0 \n",
+ " 6.0 \n",
+ " 1.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 187.0 \n",
+ " 45.0 \n",
+ " 37.0 \n",
+ " 54.9 \n",
" \n",
" \n",
" Napoli \n",
" Napoli \n",
- " 18.0 \n",
- " 60.3 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 6.0 \n",
- " 3.0 \n",
+ " 19.0 \n",
+ " 61.8 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 8.0 \n",
+ " 5.0 \n",
" 1.0 \n",
" 2.0 \n",
" ... \n",
- " 33.0 \n",
- " 33.0 \n",
- " 6.0 \n",
+ " 47.0 \n",
+ " 39.0 \n",
+ " 7.0 \n",
" 1.0 \n",
" 2.0 \n",
" 0.0 \n",
- " 124.0 \n",
- " 19.0 \n",
- " 33.0 \n",
- " 36.5 \n",
+ " 173.0 \n",
+ " 35.0 \n",
+ " 47.0 \n",
+ " 42.7 \n",
" \n",
" \n",
" Roma \n",
" Roma \n",
- " 21.0 \n",
- " 58.3 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 23.0 \n",
+ " 57.0 \n",
" 4.0 \n",
- " 3.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " ... \n",
- " 41.0 \n",
- " 36.0 \n",
- " 2.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 10.0 \n",
+ " 8.0 \n",
" 1.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 114.0 \n",
- " 45.0 \n",
- " 64.0 \n",
- " 41.3 \n",
+ " 1.0 \n",
+ " ... \n",
+ " 46.0 \n",
+ " 51.0 \n",
+ " 4.0 \n",
+ " 1.0 \n",
+ " 1.0 \n",
+ " 1.0 \n",
+ " 159.0 \n",
+ " 54.0 \n",
+ " 76.0 \n",
+ " 41.5 \n",
" \n",
" \n",
" Salernitana \n",
" Salernitana \n",
" 21.0 \n",
- " 50.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 51.5 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 3.0 \n",
" 3.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 48.0 \n",
- " 34.0 \n",
- " 2.0 \n",
+ " 64.0 \n",
+ " 46.0 \n",
+ " 4.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 151.0 \n",
- " 68.0 \n",
- " 37.0 \n",
- " 64.8 \n",
+ " 203.0 \n",
+ " 86.0 \n",
+ " 54.0 \n",
+ " 61.4 \n",
" \n",
" \n",
" Sassuolo \n",
" Sassuolo \n",
- " 22.0 \n",
- " 43.0 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 3.0 \n",
- " 2.0 \n",
+ " 24.0 \n",
+ " 43.5 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 5.0 \n",
+ " 4.0 \n",
" 1.0 \n",
" 1.0 \n",
" ... \n",
- " 35.0 \n",
- " 25.0 \n",
- " 10.0 \n",
- " 1.0 \n",
+ " 45.0 \n",
+ " 34.0 \n",
+ " 15.0 \n",
+ " 2.0 \n",
" 1.0 \n",
" 0.0 \n",
- " 159.0 \n",
- " 40.0 \n",
- " 30.0 \n",
- " 57.1 \n",
+ " 207.0 \n",
+ " 50.0 \n",
+ " 37.0 \n",
+ " 57.5 \n",
" \n",
" \n",
" Torino \n",
" Torino \n",
- " 20.0 \n",
- " 53.7 \n",
+ " 22.0 \n",
+ " 51.3 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 5.0 \n",
" 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 2.0 \n",
- " 2.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 32.0 \n",
- " 33.0 \n",
- " 5.0 \n",
+ " 44.0 \n",
+ " 48.0 \n",
+ " 7.0 \n",
" 1.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 151.0 \n",
- " 46.0 \n",
- " 41.0 \n",
- " 52.9 \n",
+ " 207.0 \n",
+ " 63.0 \n",
+ " 59.0 \n",
+ " 51.6 \n",
" \n",
" \n",
" Udinese \n",
" Udinese \n",
- " 18.0 \n",
- " 46.7 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 22.0 \n",
+ " 48.5 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 1.0 \n",
" 1.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 31.0 \n",
- " 41.0 \n",
- " 7.0 \n",
+ " 43.0 \n",
+ " 51.0 \n",
+ " 10.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 137.0 \n",
- " 38.0 \n",
- " 48.0 \n",
- " 44.2 \n",
+ " 188.0 \n",
+ " 52.0 \n",
+ " 64.0 \n",
+ " 44.8 \n",
" \n",
" \n",
"\n",
@@ -593,95 +593,95 @@
"text/plain": [
" team team_players_used team_possession team_games \\\n",
"team_idx \n",
- "Atalanta Atalanta 20.0 51.7 3.0 \n",
- "Bologna Bologna 20.0 55.3 3.0 \n",
- "Cagliari Cagliari 19.0 35.0 3.0 \n",
- "Empoli Empoli 26.0 48.0 3.0 \n",
- "Fiorentina Fiorentina 21.0 62.3 3.0 \n",
- "Frosinone Frosinone 21.0 46.0 3.0 \n",
- "Genoa Genoa 18.0 33.0 3.0 \n",
- "Verona Hellas Verona 19.0 44.7 3.0 \n",
- "Inter Inter 18.0 51.3 3.0 \n",
- "Juventus Juventus 21.0 53.0 3.0 \n",
- "Lazio Lazio 19.0 53.3 3.0 \n",
- "Lecce Lecce 18.0 45.0 3.0 \n",
- "Milan Milan 18.0 54.0 3.0 \n",
- "Monza Monza 21.0 55.3 3.0 \n",
- "Napoli Napoli 18.0 60.3 3.0 \n",
- "Roma Roma 21.0 58.3 3.0 \n",
- "Salernitana Salernitana 21.0 50.0 3.0 \n",
- "Sassuolo Sassuolo 22.0 43.0 3.0 \n",
- "Torino Torino 20.0 53.7 3.0 \n",
- "Udinese Udinese 18.0 46.7 3.0 \n",
+ "Atalanta Atalanta 23.0 49.5 4.0 \n",
+ "Bologna Bologna 22.0 56.5 4.0 \n",
+ "Cagliari Cagliari 21.0 37.8 4.0 \n",
+ "Empoli Empoli 27.0 47.8 4.0 \n",
+ "Fiorentina Fiorentina 22.0 61.0 4.0 \n",
+ "Frosinone Frosinone 23.0 48.3 4.0 \n",
+ "Genoa Genoa 19.0 33.3 4.0 \n",
+ "Verona Hellas Verona 21.0 43.5 4.0 \n",
+ "Inter Inter 19.0 48.8 4.0 \n",
+ "Juventus Juventus 21.0 48.8 4.0 \n",
+ "Lazio Lazio 20.0 56.0 4.0 \n",
+ "Lecce Lecce 19.0 43.5 4.0 \n",
+ "Milan Milan 19.0 55.3 4.0 \n",
+ "Monza Monza 22.0 56.8 4.0 \n",
+ "Napoli Napoli 19.0 61.8 4.0 \n",
+ "Roma Roma 23.0 57.0 4.0 \n",
+ "Salernitana Salernitana 21.0 51.5 4.0 \n",
+ "Sassuolo Sassuolo 24.0 43.5 4.0 \n",
+ "Torino Torino 22.0 51.3 4.0 \n",
+ "Udinese Udinese 22.0 48.5 4.0 \n",
"\n",
" team_games_starts team_minutes team_goals team_assists \\\n",
"team_idx \n",
- "Atalanta 33.0 270.0 6.0 6.0 \n",
- "Bologna 33.0 270.0 3.0 2.0 \n",
- "Cagliari 33.0 270.0 1.0 1.0 \n",
- "Empoli 33.0 270.0 0.0 0.0 \n",
- "Fiorentina 33.0 270.0 6.0 5.0 \n",
- "Frosinone 33.0 270.0 3.0 2.0 \n",
- "Genoa 33.0 270.0 2.0 1.0 \n",
- "Verona 33.0 270.0 4.0 2.0 \n",
- "Inter 33.0 270.0 8.0 7.0 \n",
- "Juventus 33.0 270.0 6.0 4.0 \n",
- "Lazio 33.0 270.0 3.0 3.0 \n",
- "Lecce 33.0 270.0 6.0 5.0 \n",
- "Milan 33.0 270.0 8.0 5.0 \n",
- "Monza 33.0 270.0 2.0 2.0 \n",
- "Napoli 33.0 270.0 6.0 3.0 \n",
- "Roma 33.0 270.0 4.0 3.0 \n",
- "Salernitana 33.0 270.0 3.0 3.0 \n",
- "Sassuolo 33.0 270.0 3.0 2.0 \n",
- "Torino 33.0 270.0 2.0 2.0 \n",
- "Udinese 33.0 270.0 1.0 1.0 \n",
+ "Atalanta 44.0 360.0 8.0 8.0 \n",
+ "Bologna 44.0 360.0 3.0 2.0 \n",
+ "Cagliari 44.0 360.0 1.0 1.0 \n",
+ "Empoli 44.0 360.0 0.0 0.0 \n",
+ "Fiorentina 44.0 360.0 9.0 7.0 \n",
+ "Frosinone 44.0 360.0 7.0 4.0 \n",
+ "Genoa 44.0 360.0 4.0 3.0 \n",
+ "Verona 44.0 360.0 4.0 2.0 \n",
+ "Inter 44.0 360.0 13.0 11.0 \n",
+ "Juventus 44.0 360.0 9.0 7.0 \n",
+ "Lazio 44.0 360.0 4.0 4.0 \n",
+ "Lecce 44.0 360.0 7.0 5.0 \n",
+ "Milan 44.0 360.0 9.0 6.0 \n",
+ "Monza 44.0 360.0 3.0 3.0 \n",
+ "Napoli 44.0 360.0 8.0 5.0 \n",
+ "Roma 44.0 360.0 10.0 8.0 \n",
+ "Salernitana 44.0 360.0 3.0 3.0 \n",
+ "Sassuolo 44.0 360.0 5.0 4.0 \n",
+ "Torino 44.0 360.0 5.0 3.0 \n",
+ "Udinese 44.0 360.0 1.0 1.0 \n",
"\n",
" team_pens_made team_pens_att ... vs_team_fouls \\\n",
"team_idx ... \n",
- "Atalanta 0.0 0.0 ... 28.0 \n",
- "Bologna 0.0 1.0 ... 32.0 \n",
- "Cagliari 0.0 0.0 ... 27.0 \n",
- "Empoli 0.0 0.0 ... 45.0 \n",
- "Fiorentina 0.0 0.0 ... 42.0 \n",
- "Frosinone 1.0 1.0 ... 41.0 \n",
- "Genoa 0.0 0.0 ... 35.0 \n",
- "Verona 0.0 0.0 ... 37.0 \n",
- "Inter 1.0 1.0 ... 34.0 \n",
- "Juventus 1.0 2.0 ... 39.0 \n",
- "Lazio 0.0 0.0 ... 36.0 \n",
- "Lecce 1.0 1.0 ... 47.0 \n",
- "Milan 3.0 3.0 ... 40.0 \n",
- "Monza 0.0 0.0 ... 26.0 \n",
- "Napoli 1.0 2.0 ... 33.0 \n",
- "Roma 0.0 0.0 ... 41.0 \n",
- "Salernitana 0.0 0.0 ... 48.0 \n",
- "Sassuolo 1.0 1.0 ... 35.0 \n",
- "Torino 0.0 0.0 ... 32.0 \n",
- "Udinese 0.0 0.0 ... 31.0 \n",
+ "Atalanta 0.0 0.0 ... 36.0 \n",
+ "Bologna 0.0 1.0 ... 50.0 \n",
+ "Cagliari 0.0 0.0 ... 38.0 \n",
+ "Empoli 0.0 0.0 ... 60.0 \n",
+ "Fiorentina 0.0 0.0 ... 56.0 \n",
+ "Frosinone 2.0 2.0 ... 50.0 \n",
+ "Genoa 0.0 0.0 ... 43.0 \n",
+ "Verona 0.0 0.0 ... 47.0 \n",
+ "Inter 2.0 2.0 ... 47.0 \n",
+ "Juventus 1.0 2.0 ... 52.0 \n",
+ "Lazio 0.0 0.0 ... 49.0 \n",
+ "Lecce 2.0 2.0 ... 64.0 \n",
+ "Milan 3.0 3.0 ... 56.0 \n",
+ "Monza 0.0 0.0 ... 37.0 \n",
+ "Napoli 1.0 2.0 ... 47.0 \n",
+ "Roma 1.0 1.0 ... 46.0 \n",
+ "Salernitana 0.0 0.0 ... 64.0 \n",
+ "Sassuolo 1.0 1.0 ... 45.0 \n",
+ "Torino 0.0 0.0 ... 44.0 \n",
+ "Udinese 0.0 0.0 ... 43.0 \n",
"\n",
" vs_team_fouled vs_team_offsides vs_team_pens_won \\\n",
"team_idx \n",
- "Atalanta 33.0 2.0 0.0 \n",
- "Bologna 30.0 7.0 0.0 \n",
- "Cagliari 29.0 4.0 0.0 \n",
- "Empoli 38.0 6.0 1.0 \n",
- "Fiorentina 36.0 3.0 1.0 \n",
- "Frosinone 31.0 4.0 0.0 \n",
- "Genoa 31.0 6.0 0.0 \n",
- "Verona 47.0 6.0 1.0 \n",
- "Inter 30.0 3.0 0.0 \n",
- "Juventus 36.0 5.0 0.0 \n",
- "Lazio 31.0 6.0 0.0 \n",
- "Lecce 43.0 4.0 0.0 \n",
- "Milan 31.0 5.0 0.0 \n",
- "Monza 35.0 6.0 0.0 \n",
- "Napoli 33.0 6.0 1.0 \n",
- "Roma 36.0 2.0 1.0 \n",
- "Salernitana 34.0 2.0 0.0 \n",
- "Sassuolo 25.0 10.0 1.0 \n",
- "Torino 33.0 5.0 1.0 \n",
- "Udinese 41.0 7.0 0.0 \n",
+ "Atalanta 47.0 2.0 0.0 \n",
+ "Bologna 40.0 12.0 0.0 \n",
+ "Cagliari 41.0 5.0 0.0 \n",
+ "Empoli 42.0 8.0 1.0 \n",
+ "Fiorentina 43.0 5.0 1.0 \n",
+ "Frosinone 39.0 6.0 0.0 \n",
+ "Genoa 43.0 9.0 0.0 \n",
+ "Verona 63.0 7.0 1.0 \n",
+ "Inter 44.0 5.0 0.0 \n",
+ "Juventus 49.0 5.0 0.0 \n",
+ "Lazio 44.0 7.0 0.0 \n",
+ "Lecce 53.0 5.0 0.0 \n",
+ "Milan 43.0 7.0 1.0 \n",
+ "Monza 52.0 6.0 1.0 \n",
+ "Napoli 39.0 7.0 1.0 \n",
+ "Roma 51.0 4.0 1.0 \n",
+ "Salernitana 46.0 4.0 0.0 \n",
+ "Sassuolo 34.0 15.0 2.0 \n",
+ "Torino 48.0 7.0 1.0 \n",
+ "Udinese 51.0 10.0 0.0 \n",
"\n",
" vs_team_pens_conceded vs_team_own_goals \\\n",
"team_idx \n",
@@ -690,17 +690,17 @@
"Cagliari 0.0 0.0 \n",
"Empoli 0.0 0.0 \n",
"Fiorentina 0.0 0.0 \n",
- "Frosinone 1.0 0.0 \n",
+ "Frosinone 2.0 0.0 \n",
"Genoa 0.0 0.0 \n",
"Verona 0.0 0.0 \n",
- "Inter 1.0 0.0 \n",
+ "Inter 2.0 0.0 \n",
"Juventus 2.0 0.0 \n",
"Lazio 0.0 0.0 \n",
- "Lecce 1.0 0.0 \n",
+ "Lecce 2.0 0.0 \n",
"Milan 3.0 0.0 \n",
"Monza 0.0 0.0 \n",
"Napoli 2.0 0.0 \n",
- "Roma 0.0 0.0 \n",
+ "Roma 1.0 1.0 \n",
"Salernitana 0.0 0.0 \n",
"Sassuolo 1.0 0.0 \n",
"Torino 0.0 0.0 \n",
@@ -708,54 +708,54 @@
"\n",
" vs_team_ball_recoveries vs_team_aerials_won \\\n",
"team_idx \n",
- "Atalanta 157.0 44.0 \n",
- "Bologna 157.0 23.0 \n",
- "Cagliari 165.0 44.0 \n",
- "Empoli 152.0 42.0 \n",
- "Fiorentina 142.0 38.0 \n",
- "Frosinone 168.0 46.0 \n",
- "Genoa 148.0 32.0 \n",
- "Verona 138.0 54.0 \n",
- "Inter 128.0 24.0 \n",
- "Juventus 134.0 22.0 \n",
- "Lazio 155.0 39.0 \n",
- "Lecce 150.0 33.0 \n",
- "Milan 145.0 34.0 \n",
- "Monza 144.0 37.0 \n",
- "Napoli 124.0 19.0 \n",
- "Roma 114.0 45.0 \n",
- "Salernitana 151.0 68.0 \n",
- "Sassuolo 159.0 40.0 \n",
- "Torino 151.0 46.0 \n",
- "Udinese 137.0 38.0 \n",
+ "Atalanta 212.0 65.0 \n",
+ "Bologna 207.0 34.0 \n",
+ "Cagliari 220.0 60.0 \n",
+ "Empoli 203.0 54.0 \n",
+ "Fiorentina 202.0 56.0 \n",
+ "Frosinone 212.0 53.0 \n",
+ "Genoa 200.0 46.0 \n",
+ "Verona 190.0 71.0 \n",
+ "Inter 163.0 30.0 \n",
+ "Juventus 173.0 26.0 \n",
+ "Lazio 196.0 51.0 \n",
+ "Lecce 203.0 43.0 \n",
+ "Milan 176.0 42.0 \n",
+ "Monza 187.0 45.0 \n",
+ "Napoli 173.0 35.0 \n",
+ "Roma 159.0 54.0 \n",
+ "Salernitana 203.0 86.0 \n",
+ "Sassuolo 207.0 50.0 \n",
+ "Torino 207.0 63.0 \n",
+ "Udinese 188.0 52.0 \n",
"\n",
" vs_team_aerials_lost vs_team_aerials_won_pct \n",
"team_idx \n",
- "Atalanta 42.0 51.2 \n",
- "Bologna 29.0 44.2 \n",
- "Cagliari 37.0 54.3 \n",
- "Empoli 30.0 58.3 \n",
- "Fiorentina 32.0 54.3 \n",
- "Frosinone 42.0 52.3 \n",
- "Genoa 44.0 42.1 \n",
- "Verona 71.0 43.2 \n",
- "Inter 36.0 40.0 \n",
- "Juventus 26.0 45.8 \n",
- "Lazio 26.0 60.0 \n",
- "Lecce 46.0 41.8 \n",
- "Milan 27.0 55.7 \n",
- "Monza 27.0 57.8 \n",
- "Napoli 33.0 36.5 \n",
- "Roma 64.0 41.3 \n",
- "Salernitana 37.0 64.8 \n",
- "Sassuolo 30.0 57.1 \n",
- "Torino 41.0 52.9 \n",
- "Udinese 48.0 44.2 \n",
+ "Atalanta 60.0 52.0 \n",
+ "Bologna 46.0 42.5 \n",
+ "Cagliari 51.0 54.1 \n",
+ "Empoli 39.0 58.1 \n",
+ "Fiorentina 53.0 51.4 \n",
+ "Frosinone 52.0 50.5 \n",
+ "Genoa 60.0 43.4 \n",
+ "Verona 82.0 46.4 \n",
+ "Inter 44.0 40.5 \n",
+ "Juventus 38.0 40.6 \n",
+ "Lazio 30.0 63.0 \n",
+ "Lecce 54.0 44.3 \n",
+ "Milan 33.0 56.0 \n",
+ "Monza 37.0 54.9 \n",
+ "Napoli 47.0 42.7 \n",
+ "Roma 76.0 41.5 \n",
+ "Salernitana 54.0 61.4 \n",
+ "Sassuolo 37.0 57.5 \n",
+ "Torino 59.0 51.6 \n",
+ "Udinese 64.0 44.8 \n",
"\n",
"[20 rows x 303 columns]"
]
},
- "execution_count": 15,
+ "execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
@@ -789,7 +789,7 @@
},
{
"cell_type": "code",
- "execution_count": 16,
+ "execution_count": 3,
"id": "b6a3db98",
"metadata": {},
"outputs": [],
@@ -807,7 +807,7 @@
},
{
"cell_type": "code",
- "execution_count": 17,
+ "execution_count": 4,
"id": "c34eb398",
"metadata": {},
"outputs": [
@@ -881,124 +881,124 @@
" \n",
" \n",
" \n",
- " Maignan \n",
- " 0 \n",
- " 4312 \n",
- " P \n",
- " Milan \n",
- " Maignan \n",
- " NaN \n",
- " 406 \n",
- " 28-068 \n",
- " 1995 \n",
- " 0 \n",
- " ... \n",
- " 65.0 \n",
- " 49.3 \n",
- " 43 \n",
- " 12 \n",
- " 27.9 \n",
- " 3 \n",
- " 1.00 \n",
- " 10.3 \n",
- " 6.000000 \n",
- " 0.000000 \n",
- " \n",
- " \n",
- " Meret \n",
- " 1 \n",
- " 572 \n",
- " P \n",
- " Napoli \n",
- " Meret \n",
- " NaN \n",
- " 408 \n",
- " 26-171 \n",
- " 1997 \n",
- " 0 \n",
- " ... \n",
- " 0.0 \n",
- " 21.4 \n",
- " 15 \n",
- " 1 \n",
- " 6.7 \n",
- " 5 \n",
- " 1.67 \n",
- " 18.1 \n",
- " 5.833333 \n",
- " 0.235702 \n",
- " \n",
- " \n",
" Sommer \n",
- " 2 \n",
+ " 0 \n",
" 2428 \n",
" P \n",
" Inter \n",
" Sommer \n",
" NaN \n",
- " 420 \n",
- " 34-266 \n",
+ " 452 \n",
+ " 34-278 \n",
" 1988 \n",
" 0 \n",
" ... \n",
- " 23.8 \n",
- " 31.0 \n",
- " 35 \n",
- " 1 \n",
- " 2.9 \n",
+ " 20.7 \n",
+ " 28.3 \n",
+ " 41 \n",
+ " 2 \n",
+ " 4.9 \n",
" 0 \n",
" 0.00 \n",
- " 6.8 \n",
+ " 6.5 \n",
" 6.000000 \n",
" 0.000000 \n",
" \n",
" \n",
" Szczesny \n",
- " 3 \n",
+ " 1 \n",
" 453 \n",
" P \n",
" Juventus \n",
" Szczesny \n",
" NaN \n",
- " 421 \n",
- " 33-144 \n",
+ " 454 \n",
+ " 33-156 \n",
" 1990 \n",
" 0 \n",
" ... \n",
" 66.7 \n",
- " 53.3 \n",
- " 16 \n",
+ " 52.0 \n",
+ " 33 \n",
" 1 \n",
- " 6.3 \n",
+ " 3.0 \n",
" 0 \n",
" 0.00 \n",
- " 10.8 \n",
- " 7.000000 \n",
- " 0.000000 \n",
+ " 9.6 \n",
+ " 6.750000 \n",
+ " 0.250000 \n",
+ " \n",
+ " \n",
+ " Meret \n",
+ " 2 \n",
+ " 572 \n",
+ " P \n",
+ " Napoli \n",
+ " Meret \n",
+ " NaN \n",
+ " 440 \n",
+ " 26-183 \n",
+ " 1997 \n",
+ " 0 \n",
+ " ... \n",
+ " 0.0 \n",
+ " 20.4 \n",
+ " 27 \n",
+ " 1 \n",
+ " 3.7 \n",
+ " 7 \n",
+ " 1.75 \n",
+ " 18.2 \n",
+ " 5.750000 \n",
+ " 0.250000 \n",
" \n",
" \n",
" Provedel \n",
- " 4 \n",
+ " 3 \n",
" 2814 \n",
" P \n",
" Lazio \n",
" Provedel \n",
" NaN \n",
- " 416 \n",
- " 29-176 \n",
+ " 448 \n",
+ " 29-188 \n",
" 1994 \n",
" 0 \n",
" ... \n",
- " 27.3 \n",
- " 31.6 \n",
- " 39 \n",
+ " 20.0 \n",
+ " 27.9 \n",
+ " 48 \n",
" 2 \n",
- " 5.1 \n",
+ " 4.2 \n",
" 6 \n",
- " 2.00 \n",
- " 16.3 \n",
- " 6.166667 \n",
- " 0.235702 \n",
+ " 1.50 \n",
+ " 15.7 \n",
+ " 6.375000 \n",
+ " 0.414578 \n",
+ " \n",
+ " \n",
+ " Maignan \n",
+ " 4 \n",
+ " 4312 \n",
+ " P \n",
+ " Milan \n",
+ " Maignan \n",
+ " NaN \n",
+ " 438 \n",
+ " 28-080 \n",
+ " 1995 \n",
+ " 0 \n",
+ " ... \n",
+ " 60.9 \n",
+ " 47.0 \n",
+ " 52 \n",
+ " 12 \n",
+ " 23.1 \n",
+ " 3 \n",
+ " 0.75 \n",
+ " 9.8 \n",
+ " 6.000000 \n",
+ " 0.000000 \n",
" \n",
" \n",
" ... \n",
@@ -1025,17 +1025,17 @@
" ... \n",
" \n",
" \n",
- " Bidaoui \n",
- " 530 \n",
- " 6242 \n",
+ " Shpendi S. \n",
+ " 534 \n",
+ " 6395 \n",
" A \n",
- " Frosinone \n",
- " Bidaoui \n",
- " NaN \n",
- " -1 \n",
- " 0 \n",
- " 0 \n",
- " 0 \n",
+ " Empoli \n",
+ " Shpendi \n",
+ " S \n",
+ " 361 \n",
+ " 20-125 \n",
+ " 2003 \n",
+ " 3 \n",
" ... \n",
" 0.0 \n",
" 0.0 \n",
@@ -1045,19 +1045,19 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 6.455501 \n",
- " 0.000000 \n",
+ " 5.750000 \n",
+ " 0.250000 \n",
" \n",
" \n",
" Burnete \n",
- " 531 \n",
+ " 535 \n",
" 6418 \n",
" A \n",
" Lecce \n",
" Burnete \n",
" NaN \n",
- " 51 \n",
- " 19-221 \n",
+ " 55 \n",
+ " 19-233 \n",
" 2004 \n",
" 1 \n",
" ... \n",
@@ -1074,7 +1074,7 @@
" \n",
" \n",
" Corfitzen \n",
- " 532 \n",
+ " 536 \n",
" 6419 \n",
" A \n",
" Lecce \n",
@@ -1093,12 +1093,12 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.900518 \n",
+ " 5.799850 \n",
" 0.000000 \n",
" \n",
" \n",
" Stewart \n",
- " 533 \n",
+ " 537 \n",
" 6427 \n",
" A \n",
" Salernitana \n",
@@ -1117,12 +1117,12 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.417886 \n",
+ " 6.447669 \n",
" 0.000000 \n",
" \n",
" \n",
" Yildiz \n",
- " 534 \n",
+ " 538 \n",
" 6434 \n",
" A \n",
" Juventus \n",
@@ -1141,103 +1141,103 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.825580 \n",
+ " 6.437600 \n",
" 0.000000 \n",
" \n",
" \n",
"\n",
- "535 rows × 160 columns
\n",
+ "539 rows × 160 columns
\n",
""
],
"text/plain": [
- " Unnamed: 0 id r team surname initial fb_ID age \\\n",
- "name \n",
- "Maignan 0 4312 P Milan Maignan NaN 406 28-068 \n",
- "Meret 1 572 P Napoli Meret NaN 408 26-171 \n",
- "Sommer 2 2428 P Inter Sommer NaN 420 34-266 \n",
- "Szczesny 3 453 P Juventus Szczesny NaN 421 33-144 \n",
- "Provedel 4 2814 P Lazio Provedel NaN 416 29-176 \n",
- "... ... ... .. ... ... ... ... ... \n",
- "Bidaoui 530 6242 A Frosinone Bidaoui NaN -1 0 \n",
- "Burnete 531 6418 A Lecce Burnete NaN 51 19-221 \n",
- "Corfitzen 532 6419 A Lecce Corfitzen NaN -1 0 \n",
- "Stewart 533 6427 A Salernitana Stewart NaN -1 0 \n",
- "Yildiz 534 6434 A Juventus Yildiz NaN -1 0 \n",
+ " Unnamed: 0 id r team surname initial fb_ID \\\n",
+ "name \n",
+ "Sommer 0 2428 P Inter Sommer NaN 452 \n",
+ "Szczesny 1 453 P Juventus Szczesny NaN 454 \n",
+ "Meret 2 572 P Napoli Meret NaN 440 \n",
+ "Provedel 3 2814 P Lazio Provedel NaN 448 \n",
+ "Maignan 4 4312 P Milan Maignan NaN 438 \n",
+ "... ... ... .. ... ... ... ... \n",
+ "Shpendi S. 534 6395 A Empoli Shpendi S 361 \n",
+ "Burnete 535 6418 A Lecce Burnete NaN 55 \n",
+ "Corfitzen 536 6419 A Lecce Corfitzen NaN -1 \n",
+ "Stewart 537 6427 A Salernitana Stewart NaN -1 \n",
+ "Yildiz 538 6434 A Juventus Yildiz NaN -1 \n",
"\n",
- " birth_year games ... gk_pct_goal_kicks_launched \\\n",
- "name ... \n",
- "Maignan 1995 0 ... 65.0 \n",
- "Meret 1997 0 ... 0.0 \n",
- "Sommer 1988 0 ... 23.8 \n",
- "Szczesny 1990 0 ... 66.7 \n",
- "Provedel 1994 0 ... 27.3 \n",
- "... ... ... ... ... \n",
- "Bidaoui 0 0 ... 0.0 \n",
- "Burnete 2004 1 ... 0.0 \n",
- "Corfitzen 0 0 ... 0.0 \n",
- "Stewart 0 0 ... 0.0 \n",
- "Yildiz 0 0 ... 0.0 \n",
+ " age birth_year games ... gk_pct_goal_kicks_launched \\\n",
+ "name ... \n",
+ "Sommer 34-278 1988 0 ... 20.7 \n",
+ "Szczesny 33-156 1990 0 ... 66.7 \n",
+ "Meret 26-183 1997 0 ... 0.0 \n",
+ "Provedel 29-188 1994 0 ... 20.0 \n",
+ "Maignan 28-080 1995 0 ... 60.9 \n",
+ "... ... ... ... ... ... \n",
+ "Shpendi S. 20-125 2003 3 ... 0.0 \n",
+ "Burnete 19-233 2004 1 ... 0.0 \n",
+ "Corfitzen 0 0 0 ... 0.0 \n",
+ "Stewart 0 0 0 ... 0.0 \n",
+ "Yildiz 0 0 0 ... 0.0 \n",
"\n",
- " gk_goal_kick_length_avg gk_crosses gk_crosses_stopped \\\n",
- "name \n",
- "Maignan 49.3 43 12 \n",
- "Meret 21.4 15 1 \n",
- "Sommer 31.0 35 1 \n",
- "Szczesny 53.3 16 1 \n",
- "Provedel 31.6 39 2 \n",
- "... ... ... ... \n",
- "Bidaoui 0.0 0 0 \n",
- "Burnete 0.0 0 0 \n",
- "Corfitzen 0.0 0 0 \n",
- "Stewart 0.0 0 0 \n",
- "Yildiz 0.0 0 0 \n",
+ " gk_goal_kick_length_avg gk_crosses gk_crosses_stopped \\\n",
+ "name \n",
+ "Sommer 28.3 41 2 \n",
+ "Szczesny 52.0 33 1 \n",
+ "Meret 20.4 27 1 \n",
+ "Provedel 27.9 48 2 \n",
+ "Maignan 47.0 52 12 \n",
+ "... ... ... ... \n",
+ "Shpendi S. 0.0 0 0 \n",
+ "Burnete 0.0 0 0 \n",
+ "Corfitzen 0.0 0 0 \n",
+ "Stewart 0.0 0 0 \n",
+ "Yildiz 0.0 0 0 \n",
"\n",
- " gk_crosses_stopped_pct gk_def_actions_outside_pen_area \\\n",
- "name \n",
- "Maignan 27.9 3 \n",
- "Meret 6.7 5 \n",
- "Sommer 2.9 0 \n",
- "Szczesny 6.3 0 \n",
- "Provedel 5.1 6 \n",
- "... ... ... \n",
- "Bidaoui 0.0 0 \n",
- "Burnete 0.0 0 \n",
- "Corfitzen 0.0 0 \n",
- "Stewart 0.0 0 \n",
- "Yildiz 0.0 0 \n",
+ " gk_crosses_stopped_pct gk_def_actions_outside_pen_area \\\n",
+ "name \n",
+ "Sommer 4.9 0 \n",
+ "Szczesny 3.0 0 \n",
+ "Meret 3.7 7 \n",
+ "Provedel 4.2 6 \n",
+ "Maignan 23.1 3 \n",
+ "... ... ... \n",
+ "Shpendi S. 0.0 0 \n",
+ "Burnete 0.0 0 \n",
+ "Corfitzen 0.0 0 \n",
+ "Stewart 0.0 0 \n",
+ "Yildiz 0.0 0 \n",
"\n",
- " gk_def_actions_outside_pen_area_per90 gk_avg_distance_def_actions \\\n",
- "name \n",
- "Maignan 1.00 10.3 \n",
- "Meret 1.67 18.1 \n",
- "Sommer 0.00 6.8 \n",
- "Szczesny 0.00 10.8 \n",
- "Provedel 2.00 16.3 \n",
- "... ... ... \n",
- "Bidaoui 0.00 0.0 \n",
- "Burnete 0.00 0.0 \n",
- "Corfitzen 0.00 0.0 \n",
- "Stewart 0.00 0.0 \n",
- "Yildiz 0.00 0.0 \n",
+ " gk_def_actions_outside_pen_area_per90 \\\n",
+ "name \n",
+ "Sommer 0.00 \n",
+ "Szczesny 0.00 \n",
+ "Meret 1.75 \n",
+ "Provedel 1.50 \n",
+ "Maignan 0.75 \n",
+ "... ... \n",
+ "Shpendi S. 0.00 \n",
+ "Burnete 0.00 \n",
+ "Corfitzen 0.00 \n",
+ "Stewart 0.00 \n",
+ "Yildiz 0.00 \n",
"\n",
- " vote_avg vote_std \n",
- "name \n",
- "Maignan 6.000000 0.000000 \n",
- "Meret 5.833333 0.235702 \n",
- "Sommer 6.000000 0.000000 \n",
- "Szczesny 7.000000 0.000000 \n",
- "Provedel 6.166667 0.235702 \n",
- "... ... ... \n",
- "Bidaoui 6.455501 0.000000 \n",
- "Burnete 6.000000 0.000000 \n",
- "Corfitzen 5.900518 0.000000 \n",
- "Stewart 5.417886 0.000000 \n",
- "Yildiz 5.825580 0.000000 \n",
+ " gk_avg_distance_def_actions vote_avg vote_std \n",
+ "name \n",
+ "Sommer 6.5 6.000000 0.000000 \n",
+ "Szczesny 9.6 6.750000 0.250000 \n",
+ "Meret 18.2 5.750000 0.250000 \n",
+ "Provedel 15.7 6.375000 0.414578 \n",
+ "Maignan 9.8 6.000000 0.000000 \n",
+ "... ... ... ... \n",
+ "Shpendi S. 0.0 5.750000 0.250000 \n",
+ "Burnete 0.0 6.000000 0.000000 \n",
+ "Corfitzen 0.0 5.799850 0.000000 \n",
+ "Stewart 0.0 6.447669 0.000000 \n",
+ "Yildiz 0.0 6.437600 0.000000 \n",
"\n",
- "[535 rows x 160 columns]"
+ "[539 rows x 160 columns]"
]
},
- "execution_count": 17,
+ "execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
@@ -1259,7 +1259,7 @@
},
{
"cell_type": "code",
- "execution_count": 18,
+ "execution_count": 5,
"id": "71c8804e",
"metadata": {},
"outputs": [],
@@ -1294,7 +1294,7 @@
},
{
"cell_type": "code",
- "execution_count": 19,
+ "execution_count": 6,
"id": "7eb4e666",
"metadata": {},
"outputs": [
@@ -1345,27 +1345,27 @@
" \n",
" \n",
" Barella \n",
- " 259 \n",
+ " 260 \n",
" 1870 \n",
" C \n",
" Inter \n",
" Barella \n",
" NaN \n",
- " 20 \n",
- " 26-214 \n",
+ " 23 \n",
+ " 26-226 \n",
" 1997 \n",
- " 3 \n",
+ " 4 \n",
" ... \n",
- " 28.0 \n",
- " 33.0 \n",
+ " 36.0 \n",
+ " 47.0 \n",
" 2.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 157.0 \n",
- " 44.0 \n",
- " 42.0 \n",
- " 51.2 \n",
+ " 212.0 \n",
+ " 65.0 \n",
+ " 60.0 \n",
+ " 52.0 \n",
" \n",
" \n",
"\n",
@@ -1374,10 +1374,10 @@
],
"text/plain": [
" Unnamed: 0 id r team surname initial fb_ID age \\\n",
- "Barella 259 1870 C Inter Barella NaN 20 26-214 \n",
+ "Barella 260 1870 C Inter Barella NaN 23 26-226 \n",
"\n",
" birth_year games ... opp_vs_team_fouls opp_vs_team_fouled \\\n",
- "Barella 1997 3 ... 28.0 33.0 \n",
+ "Barella 1997 4 ... 36.0 47.0 \n",
"\n",
" opp_vs_team_offsides opp_vs_team_pens_won \\\n",
"Barella 2.0 0.0 \n",
@@ -1386,15 +1386,15 @@
"Barella 0.0 0.0 \n",
"\n",
" opp_vs_team_ball_recoveries opp_vs_team_aerials_won \\\n",
- "Barella 157.0 44.0 \n",
+ "Barella 212.0 65.0 \n",
"\n",
" opp_vs_team_aerials_lost opp_vs_team_aerials_won_pct \n",
- "Barella 42.0 51.2 \n",
+ "Barella 60.0 52.0 \n",
"\n",
"[1 rows x 766 columns]"
]
},
- "execution_count": 19,
+ "execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
@@ -1408,7 +1408,7 @@
},
{
"cell_type": "code",
- "execution_count": 20,
+ "execution_count": 7,
"id": "6b4c1b00",
"metadata": {},
"outputs": [
@@ -1418,7 +1418,7 @@
"'Inter'"
]
},
- "execution_count": 20,
+ "execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
@@ -1431,7 +1431,7 @@
},
{
"cell_type": "code",
- "execution_count": 21,
+ "execution_count": 8,
"id": "6ea6df1f",
"metadata": {},
"outputs": [
@@ -1531,7 +1531,7 @@
" 'vs_team_aerials_won_pct']"
]
},
- "execution_count": 21,
+ "execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
@@ -1563,7 +1563,7 @@
},
{
"cell_type": "code",
- "execution_count": 22,
+ "execution_count": 9,
"id": "47bc651f",
"metadata": {},
"outputs": [],
@@ -1717,7 +1717,7 @@
},
{
"cell_type": "code",
- "execution_count": 23,
+ "execution_count": 10,
"id": "3f43d509",
"metadata": {},
"outputs": [],
@@ -1748,7 +1748,7 @@
},
{
"cell_type": "code",
- "execution_count": 24,
+ "execution_count": 11,
"id": "930d00c7",
"metadata": {},
"outputs": [
@@ -1800,25 +1800,25 @@
" \n",
" Barella \n",
" C \n",
- " 3 \n",
- " 3 \n",
- " 218 \n",
+ " 4 \n",
+ " 4 \n",
+ " 281 \n",
" 25.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 86.1 \n",
+ " 86.2 \n",
" 100.0 \n",
- " 51.3 \n",
+ " 48.8 \n",
" ... \n",
+ " 0.003559 \n",
" 0.0 \n",
+ " 0.010676 \n",
+ " 0.010676 \n",
+ " 0.007117 \n",
" 0.0 \n",
- " 0.004587 \n",
- " 0.013761 \n",
- " 0.004587 \n",
- " 0.0 \n",
- " 0.555046 \n",
- " 0.03211 \n",
- " 0.027523 \n",
+ " 0.494662 \n",
+ " 0.024911 \n",
+ " 0.021352 \n",
" 0.0 \n",
" \n",
" \n",
@@ -1828,24 +1828,24 @@
],
"text/plain": [
" r games games_starts minutes shots_on_target_pct goals_per_shot \\\n",
- "Barella C 3 3 218 25.0 0.0 \n",
+ "Barella C 4 4 281 25.0 0.0 \n",
"\n",
" goals_per_shot_on_target passes_pct aerials_won_pct \\\n",
- "Barella 0.0 86.1 100.0 \n",
+ "Barella 0.0 86.2 100.0 \n",
"\n",
" team_possession ... miscontrols dispossessed fouls fouled \\\n",
- "Barella 51.3 ... 0.0 0.0 0.004587 0.013761 \n",
+ "Barella 48.8 ... 0.003559 0.0 0.010676 0.010676 \n",
"\n",
" aerials_won aerials_lost carries progressive_carries \\\n",
- "Barella 0.004587 0.0 0.555046 0.03211 \n",
+ "Barella 0.007117 0.0 0.494662 0.024911 \n",
"\n",
" carries_into_final_third carries_into_penalty_area \n",
- "Barella 0.027523 0.0 \n",
+ "Barella 0.021352 0.0 \n",
"\n",
"[1 rows x 112 columns]"
]
},
- "execution_count": 24,
+ "execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
@@ -1868,7 +1868,7 @@
},
{
"cell_type": "code",
- "execution_count": 25,
+ "execution_count": 12,
"id": "3ae718d2",
"metadata": {},
"outputs": [
@@ -1985,106 +1985,106 @@
" ... \n",
" \n",
" \n",
- " 859 \n",
- " 3 \n",
- " Folorunsho \n",
- " Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.0 \n",
- " \n",
- " \n",
- " 860 \n",
- " 3 \n",
+ " 1154 \n",
+ " 4 \n",
" Serdar \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.5 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
" 0 \n",
" 0 \n",
- " 0.0 \n",
+ " 0.5 \n",
" 5.5 \n",
" \n",
" \n",
- " 861 \n",
- " 3 \n",
+ " 1155 \n",
+ " 4 \n",
+ " Suslov \n",
+ " Verona \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.5 \n",
+ " 5.5 \n",
+ " \n",
+ " \n",
+ " 1156 \n",
+ " 4 \n",
" Bonazzoli \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.5 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
" 0 \n",
" 0 \n",
" 0.0 \n",
- " 5.5 \n",
+ " 6.0 \n",
" \n",
" \n",
- " 862 \n",
- " 3 \n",
+ " 1157 \n",
+ " 4 \n",
" Djuric \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 6.0 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 5.5 \n",
" 0 \n",
" 0 \n",
" 0.0 \n",
- " 6.0 \n",
+ " 5.5 \n",
" \n",
" \n",
- " 863 \n",
- " 3 \n",
+ " 1158 \n",
+ " 4 \n",
" Ngonge \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 6.5 \n",
+ " Bologna \n",
" 1 \n",
+ " 5.5 \n",
+ " 0 \n",
" 0 \n",
" 0.0 \n",
- " 9.5 \n",
+ " 5.5 \n",
" \n",
" \n",
"\n",
- "864 rows × 10 columns
\n",
+ "1159 rows × 10 columns
\n",
""
],
"text/plain": [
- " matchday player team oppteam home vote goals assists \\\n",
- "0 1 Musso Atalanta Sassuolo 0 6.5 0 0 \n",
- "1 1 Zappacosta Atalanta Sassuolo 0 6.5 0 0 \n",
- "2 1 Djimsiti Atalanta Sassuolo 0 6.0 0 0 \n",
- "3 1 Kolasinac Atalanta Sassuolo 0 6.5 0 0 \n",
- "4 1 Zortea Atalanta Sassuolo 0 7.0 1 0 \n",
- ".. ... ... ... ... ... ... ... ... \n",
- "859 3 Folorunsho Verona Sassuolo 0 5.0 0 0 \n",
- "860 3 Serdar Verona Sassuolo 0 5.5 0 0 \n",
- "861 3 Bonazzoli Verona Sassuolo 0 5.5 0 0 \n",
- "862 3 Djuric Verona Sassuolo 0 6.0 0 0 \n",
- "863 3 Ngonge Verona Sassuolo 0 6.5 1 0 \n",
+ " matchday player team oppteam home vote goals assists \\\n",
+ "0 1 Musso Atalanta Sassuolo 0 6.5 0 0 \n",
+ "1 1 Zappacosta Atalanta Sassuolo 0 6.5 0 0 \n",
+ "2 1 Djimsiti Atalanta Sassuolo 0 6.0 0 0 \n",
+ "3 1 Kolasinac Atalanta Sassuolo 0 6.5 0 0 \n",
+ "4 1 Zortea Atalanta Sassuolo 0 7.0 1 0 \n",
+ "... ... ... ... ... ... ... ... ... \n",
+ "1154 4 Serdar Verona Bologna 1 6.0 0 0 \n",
+ "1155 4 Suslov Verona Bologna 1 6.0 0 0 \n",
+ "1156 4 Bonazzoli Verona Bologna 1 6.0 0 0 \n",
+ "1157 4 Djuric Verona Bologna 1 5.5 0 0 \n",
+ "1158 4 Ngonge Verona Bologna 1 5.5 0 0 \n",
"\n",
- " cards_malus fantavote \n",
- "0 0.0 6.5 \n",
- "1 0.0 6.5 \n",
- "2 0.0 6.0 \n",
- "3 0.0 6.5 \n",
- "4 0.0 10.0 \n",
- ".. ... ... \n",
- "859 0.0 5.0 \n",
- "860 0.0 5.5 \n",
- "861 0.0 5.5 \n",
- "862 0.0 6.0 \n",
- "863 0.0 9.5 \n",
+ " cards_malus fantavote \n",
+ "0 0.0 6.5 \n",
+ "1 0.0 6.5 \n",
+ "2 0.0 6.0 \n",
+ "3 0.0 6.5 \n",
+ "4 0.0 10.0 \n",
+ "... ... ... \n",
+ "1154 0.5 5.5 \n",
+ "1155 0.5 5.5 \n",
+ "1156 0.0 6.0 \n",
+ "1157 0.0 5.5 \n",
+ "1158 0.0 5.5 \n",
"\n",
- "[864 rows x 10 columns]"
+ "[1159 rows x 10 columns]"
]
},
- "execution_count": 25,
+ "execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
@@ -2104,7 +2104,7 @@
},
{
"cell_type": "code",
- "execution_count": 26,
+ "execution_count": 13,
"id": "ec0bc56b",
"metadata": {},
"outputs": [
@@ -2120,7 +2120,10 @@
"500\n",
"600\n",
"700\n",
- "800\n"
+ "800\n",
+ "900\n",
+ "1000\n",
+ "1100\n"
]
}
],
@@ -2148,7 +2151,7 @@
},
{
"cell_type": "code",
- "execution_count": 27,
+ "execution_count": 14,
"id": "b292f9f9",
"metadata": {},
"outputs": [
@@ -2234,16 +2237,16 @@
" 0.0 \n",
" 6.5 \n",
" ... \n",
- " 0.026316 \n",
- " 0.015789 \n",
- " 0.010526 \n",
- " 0.021053 \n",
- " 0.005263 \n",
- " 0.021053 \n",
- " 0.394737 \n",
- " 0.047368 \n",
- " 0.026316 \n",
- " 0.015789 \n",
+ " 0.020161 \n",
+ " 0.012097 \n",
+ " 0.012097 \n",
+ " 0.016129 \n",
+ " 0.008065 \n",
+ " 0.016129 \n",
+ " 0.391129 \n",
+ " 0.040323 \n",
+ " 0.020161 \n",
+ " 0.012097 \n",
" \n",
" \n",
" 2 \n",
@@ -2282,16 +2285,16 @@
" 0.0 \n",
" 6.5 \n",
" ... \n",
- " 0.003717 \n",
- " 0.003717 \n",
- " 0.000000 \n",
- " 0.011152 \n",
- " 0.011152 \n",
- " 0.018587 \n",
- " 0.457249 \n",
- " 0.022305 \n",
- " 0.033457 \n",
- " 0.003717 \n",
+ " 0.002786 \n",
+ " 0.002786 \n",
+ " 0.002786 \n",
+ " 0.011142 \n",
+ " 0.013928 \n",
+ " 0.022284 \n",
+ " 0.412256 \n",
+ " 0.019499 \n",
+ " 0.025070 \n",
+ " 0.002786 \n",
" \n",
" \n",
" 4 \n",
@@ -2307,15 +2310,15 @@
" 10.0 \n",
" ... \n",
" 0.000000 \n",
- " 0.015625 \n",
- " 0.015625 \n",
+ " 0.020833 \n",
+ " 0.031250 \n",
" 0.000000 \n",
" 0.000000 \n",
- " 0.015625 \n",
- " 0.515625 \n",
+ " 0.010417 \n",
+ " 0.447917 \n",
" 0.062500 \n",
- " 0.046875 \n",
- " 0.015625 \n",
+ " 0.041667 \n",
+ " 0.010417 \n",
" \n",
" \n",
" ... \n",
@@ -2342,187 +2345,187 @@
" ... \n",
" \n",
" \n",
- " 859 \n",
- " 3 \n",
- " Folorunsho \n",
- " Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.0 \n",
- " ... \n",
- " 0.024490 \n",
- " 0.008163 \n",
- " 0.016327 \n",
- " 0.040816 \n",
- " 0.016327 \n",
- " 0.053061 \n",
- " 0.204082 \n",
- " 0.016327 \n",
- " 0.024490 \n",
- " 0.000000 \n",
- " \n",
- " \n",
- " 860 \n",
- " 3 \n",
+ " 1154 \n",
+ " 4 \n",
" Serdar \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.5 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
" 0 \n",
" 0 \n",
- " 0.0 \n",
+ " 0.5 \n",
" 5.5 \n",
" ... \n",
- " 0.036145 \n",
- " 0.012048 \n",
- " 0.012048 \n",
+ " 0.028846 \n",
+ " 0.009615 \n",
+ " 0.019231 \n",
" 0.000000 \n",
- " 0.012048 \n",
- " 0.036145 \n",
- " 0.204819 \n",
+ " 0.009615 \n",
+ " 0.038462 \n",
+ " 0.182692 \n",
" 0.000000 \n",
" 0.000000 \n",
" 0.000000 \n",
" \n",
" \n",
- " 861 \n",
- " 3 \n",
+ " 1155 \n",
+ " 4 \n",
+ " Suslov \n",
+ " Verona \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.5 \n",
+ " 5.5 \n",
+ " ... \n",
+ " 0.000000 \n",
+ " 0.000000 \n",
+ " 0.095238 \n",
+ " 0.047619 \n",
+ " 0.000000 \n",
+ " 0.000000 \n",
+ " 0.142857 \n",
+ " 0.000000 \n",
+ " 0.047619 \n",
+ " 0.000000 \n",
+ " \n",
+ " \n",
+ " 1156 \n",
+ " 4 \n",
" Bonazzoli \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.5 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
" 0 \n",
" 0 \n",
" 0.0 \n",
- " 5.5 \n",
+ " 6.0 \n",
" ... \n",
- " 0.045977 \n",
- " 0.011494 \n",
- " 0.000000 \n",
- " 0.034483 \n",
- " 0.000000 \n",
- " 0.034483 \n",
- " 0.344828 \n",
- " 0.022989 \n",
- " 0.022989 \n",
- " 0.011494 \n",
+ " 0.047297 \n",
+ " 0.006757 \n",
+ " 0.006757 \n",
+ " 0.040541 \n",
+ " 0.013514 \n",
+ " 0.020270 \n",
+ " 0.324324 \n",
+ " 0.020270 \n",
+ " 0.013514 \n",
+ " 0.013514 \n",
" \n",
" \n",
- " 862 \n",
- " 3 \n",
+ " 1157 \n",
+ " 4 \n",
" Djuric \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 6.0 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 5.5 \n",
" 0 \n",
" 0 \n",
" 0.0 \n",
- " 6.0 \n",
+ " 5.5 \n",
" ... \n",
- " 0.024390 \n",
- " 0.008130 \n",
- " 0.048780 \n",
- " 0.008130 \n",
- " 0.130081 \n",
- " 0.081301 \n",
- " 0.178862 \n",
- " 0.000000 \n",
+ " 0.026316 \n",
+ " 0.006579 \n",
+ " 0.046053 \n",
+ " 0.006579 \n",
+ " 0.138158 \n",
+ " 0.092105 \n",
+ " 0.171053 \n",
" 0.000000 \n",
+ " 0.013158 \n",
" 0.000000 \n",
" \n",
" \n",
- " 863 \n",
- " 3 \n",
+ " 1158 \n",
+ " 4 \n",
" Ngonge \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 6.5 \n",
+ " Bologna \n",
" 1 \n",
+ " 5.5 \n",
+ " 0 \n",
" 0 \n",
" 0.0 \n",
- " 9.5 \n",
+ " 5.5 \n",
" ... \n",
- " 0.022727 \n",
- " 0.009091 \n",
- " 0.040909 \n",
- " 0.013636 \n",
- " 0.013636 \n",
- " 0.018182 \n",
- " 0.227273 \n",
- " 0.040909 \n",
- " 0.013636 \n",
- " 0.018182 \n",
+ " 0.019355 \n",
+ " 0.012903 \n",
+ " 0.032258 \n",
+ " 0.009677 \n",
+ " 0.012903 \n",
+ " 0.022581 \n",
+ " 0.206452 \n",
+ " 0.035484 \n",
+ " 0.012903 \n",
+ " 0.016129 \n",
" \n",
" \n",
"\n",
- "864 rows × 122 columns
\n",
+ "1159 rows × 122 columns
\n",
""
],
"text/plain": [
- " matchday player team oppteam home vote goals assists \\\n",
- "0 1 Musso Atalanta Sassuolo 0 6.5 0 0 \n",
- "1 1 Zappacosta Atalanta Sassuolo 0 6.5 0 0 \n",
- "2 1 Djimsiti Atalanta Sassuolo 0 6.0 0 0 \n",
- "3 1 Kolasinac Atalanta Sassuolo 0 6.5 0 0 \n",
- "4 1 Zortea Atalanta Sassuolo 0 7.0 1 0 \n",
- ".. ... ... ... ... ... ... ... ... \n",
- "859 3 Folorunsho Verona Sassuolo 0 5.0 0 0 \n",
- "860 3 Serdar Verona Sassuolo 0 5.5 0 0 \n",
- "861 3 Bonazzoli Verona Sassuolo 0 5.5 0 0 \n",
- "862 3 Djuric Verona Sassuolo 0 6.0 0 0 \n",
- "863 3 Ngonge Verona Sassuolo 0 6.5 1 0 \n",
+ " matchday player team oppteam home vote goals assists \\\n",
+ "0 1 Musso Atalanta Sassuolo 0 6.5 0 0 \n",
+ "1 1 Zappacosta Atalanta Sassuolo 0 6.5 0 0 \n",
+ "2 1 Djimsiti Atalanta Sassuolo 0 6.0 0 0 \n",
+ "3 1 Kolasinac Atalanta Sassuolo 0 6.5 0 0 \n",
+ "4 1 Zortea Atalanta Sassuolo 0 7.0 1 0 \n",
+ "... ... ... ... ... ... ... ... ... \n",
+ "1154 4 Serdar Verona Bologna 1 6.0 0 0 \n",
+ "1155 4 Suslov Verona Bologna 1 6.0 0 0 \n",
+ "1156 4 Bonazzoli Verona Bologna 1 6.0 0 0 \n",
+ "1157 4 Djuric Verona Bologna 1 5.5 0 0 \n",
+ "1158 4 Ngonge Verona Bologna 1 5.5 0 0 \n",
"\n",
- " cards_malus fantavote ... miscontrols dispossessed fouls fouled \\\n",
- "0 0.0 6.5 ... 0.000000 0.000000 0.000000 0.000000 \n",
- "1 0.0 6.5 ... 0.026316 0.015789 0.010526 0.021053 \n",
- "2 0.0 6.0 ... 0.007874 0.000000 0.007874 0.000000 \n",
- "3 0.0 6.5 ... 0.003717 0.003717 0.000000 0.011152 \n",
- "4 0.0 10.0 ... 0.000000 0.015625 0.015625 0.000000 \n",
- ".. ... ... ... ... ... ... ... \n",
- "859 0.0 5.0 ... 0.024490 0.008163 0.016327 0.040816 \n",
- "860 0.0 5.5 ... 0.036145 0.012048 0.012048 0.000000 \n",
- "861 0.0 5.5 ... 0.045977 0.011494 0.000000 0.034483 \n",
- "862 0.0 6.0 ... 0.024390 0.008130 0.048780 0.008130 \n",
- "863 0.0 9.5 ... 0.022727 0.009091 0.040909 0.013636 \n",
+ " cards_malus fantavote ... miscontrols dispossessed fouls \\\n",
+ "0 0.0 6.5 ... 0.000000 0.000000 0.000000 \n",
+ "1 0.0 6.5 ... 0.020161 0.012097 0.012097 \n",
+ "2 0.0 6.0 ... 0.007874 0.000000 0.007874 \n",
+ "3 0.0 6.5 ... 0.002786 0.002786 0.002786 \n",
+ "4 0.0 10.0 ... 0.000000 0.020833 0.031250 \n",
+ "... ... ... ... ... ... ... \n",
+ "1154 0.5 5.5 ... 0.028846 0.009615 0.019231 \n",
+ "1155 0.5 5.5 ... 0.000000 0.000000 0.095238 \n",
+ "1156 0.0 6.0 ... 0.047297 0.006757 0.006757 \n",
+ "1157 0.0 5.5 ... 0.026316 0.006579 0.046053 \n",
+ "1158 0.0 5.5 ... 0.019355 0.012903 0.032258 \n",
"\n",
- " aerials_won aerials_lost carries progressive_carries \\\n",
- "0 0.000000 0.000000 0.000000 0.000000 \n",
- "1 0.005263 0.021053 0.394737 0.047368 \n",
- "2 0.019685 0.027559 0.350394 0.000000 \n",
- "3 0.011152 0.018587 0.457249 0.022305 \n",
- "4 0.000000 0.015625 0.515625 0.062500 \n",
- ".. ... ... ... ... \n",
- "859 0.016327 0.053061 0.204082 0.016327 \n",
- "860 0.012048 0.036145 0.204819 0.000000 \n",
- "861 0.000000 0.034483 0.344828 0.022989 \n",
- "862 0.130081 0.081301 0.178862 0.000000 \n",
- "863 0.013636 0.018182 0.227273 0.040909 \n",
+ " fouled aerials_won aerials_lost carries progressive_carries \\\n",
+ "0 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
+ "1 0.016129 0.008065 0.016129 0.391129 0.040323 \n",
+ "2 0.000000 0.019685 0.027559 0.350394 0.000000 \n",
+ "3 0.011142 0.013928 0.022284 0.412256 0.019499 \n",
+ "4 0.000000 0.000000 0.010417 0.447917 0.062500 \n",
+ "... ... ... ... ... ... \n",
+ "1154 0.000000 0.009615 0.038462 0.182692 0.000000 \n",
+ "1155 0.047619 0.000000 0.000000 0.142857 0.000000 \n",
+ "1156 0.040541 0.013514 0.020270 0.324324 0.020270 \n",
+ "1157 0.006579 0.138158 0.092105 0.171053 0.000000 \n",
+ "1158 0.009677 0.012903 0.022581 0.206452 0.035484 \n",
"\n",
- " carries_into_final_third carries_into_penalty_area \n",
- "0 0.000000 0.000000 \n",
- "1 0.026316 0.015789 \n",
- "2 0.000000 0.000000 \n",
- "3 0.033457 0.003717 \n",
- "4 0.046875 0.015625 \n",
- ".. ... ... \n",
- "859 0.024490 0.000000 \n",
- "860 0.000000 0.000000 \n",
- "861 0.022989 0.011494 \n",
- "862 0.000000 0.000000 \n",
- "863 0.013636 0.018182 \n",
+ " carries_into_final_third carries_into_penalty_area \n",
+ "0 0.000000 0.000000 \n",
+ "1 0.020161 0.012097 \n",
+ "2 0.000000 0.000000 \n",
+ "3 0.025070 0.002786 \n",
+ "4 0.041667 0.010417 \n",
+ "... ... ... \n",
+ "1154 0.000000 0.000000 \n",
+ "1155 0.047619 0.000000 \n",
+ "1156 0.013514 0.013514 \n",
+ "1157 0.013158 0.000000 \n",
+ "1158 0.012903 0.016129 \n",
"\n",
- "[864 rows x 122 columns]"
+ "[1159 rows x 122 columns]"
]
},
- "execution_count": 27,
+ "execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
@@ -2541,7 +2544,7 @@
},
{
"cell_type": "code",
- "execution_count": 28,
+ "execution_count": 15,
"id": "1db9f77f",
"metadata": {},
"outputs": [],
@@ -2553,7 +2556,7 @@
},
{
"cell_type": "code",
- "execution_count": 29,
+ "execution_count": 16,
"id": "f56df3ca",
"metadata": {},
"outputs": [
@@ -2615,16 +2618,16 @@
" 0.0 \n",
" 6.5 \n",
" ... \n",
- " 0.026316 \n",
- " 0.015789 \n",
- " 0.010526 \n",
- " 0.021053 \n",
- " 0.005263 \n",
- " 0.021053 \n",
- " 0.394737 \n",
- " 0.047368 \n",
- " 0.026316 \n",
- " 0.015789 \n",
+ " 0.020161 \n",
+ " 0.012097 \n",
+ " 0.012097 \n",
+ " 0.016129 \n",
+ " 0.008065 \n",
+ " 0.016129 \n",
+ " 0.391129 \n",
+ " 0.040323 \n",
+ " 0.020161 \n",
+ " 0.012097 \n",
" \n",
" \n",
" 2 \n",
@@ -2663,16 +2666,16 @@
" 0.0 \n",
" 6.5 \n",
" ... \n",
- " 0.003717 \n",
- " 0.003717 \n",
- " 0.000000 \n",
- " 0.011152 \n",
- " 0.011152 \n",
- " 0.018587 \n",
- " 0.457249 \n",
- " 0.022305 \n",
- " 0.033457 \n",
- " 0.003717 \n",
+ " 0.002786 \n",
+ " 0.002786 \n",
+ " 0.002786 \n",
+ " 0.011142 \n",
+ " 0.013928 \n",
+ " 0.022284 \n",
+ " 0.412256 \n",
+ " 0.019499 \n",
+ " 0.025070 \n",
+ " 0.002786 \n",
" \n",
" \n",
" 4 \n",
@@ -2688,15 +2691,15 @@
" 10.0 \n",
" ... \n",
" 0.000000 \n",
- " 0.015625 \n",
- " 0.015625 \n",
+ " 0.020833 \n",
+ " 0.031250 \n",
" 0.000000 \n",
" 0.000000 \n",
- " 0.015625 \n",
- " 0.515625 \n",
+ " 0.010417 \n",
+ " 0.447917 \n",
" 0.062500 \n",
- " 0.046875 \n",
- " 0.015625 \n",
+ " 0.041667 \n",
+ " 0.010417 \n",
" \n",
" \n",
" 5 \n",
@@ -2711,16 +2714,16 @@
" 0.0 \n",
" 7.5 \n",
" ... \n",
- " 0.012295 \n",
- " 0.004098 \n",
- " 0.016393 \n",
- " 0.000000 \n",
- " 0.004098 \n",
- " 0.024590 \n",
- " 0.434426 \n",
- " 0.016393 \n",
- " 0.016393 \n",
- " 0.004098 \n",
+ " 0.012384 \n",
+ " 0.003096 \n",
+ " 0.012384 \n",
+ " 0.006192 \n",
+ " 0.003096 \n",
+ " 0.027864 \n",
+ " 0.408669 \n",
+ " 0.015480 \n",
+ " 0.012384 \n",
+ " 0.003096 \n",
" \n",
" \n",
" ... \n",
@@ -2747,187 +2750,187 @@
" ... \n",
" \n",
" \n",
- " 859 \n",
- " 3 \n",
- " Folorunsho \n",
- " Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.0 \n",
- " ... \n",
- " 0.024490 \n",
- " 0.008163 \n",
- " 0.016327 \n",
- " 0.040816 \n",
- " 0.016327 \n",
- " 0.053061 \n",
- " 0.204082 \n",
- " 0.016327 \n",
- " 0.024490 \n",
- " 0.000000 \n",
- " \n",
- " \n",
- " 860 \n",
- " 3 \n",
+ " 1154 \n",
+ " 4 \n",
" Serdar \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.5 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
" 0 \n",
" 0 \n",
- " 0.0 \n",
+ " 0.5 \n",
" 5.5 \n",
" ... \n",
- " 0.036145 \n",
- " 0.012048 \n",
- " 0.012048 \n",
+ " 0.028846 \n",
+ " 0.009615 \n",
+ " 0.019231 \n",
" 0.000000 \n",
- " 0.012048 \n",
- " 0.036145 \n",
- " 0.204819 \n",
+ " 0.009615 \n",
+ " 0.038462 \n",
+ " 0.182692 \n",
" 0.000000 \n",
" 0.000000 \n",
" 0.000000 \n",
" \n",
" \n",
- " 861 \n",
- " 3 \n",
+ " 1155 \n",
+ " 4 \n",
+ " Suslov \n",
+ " Verona \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.5 \n",
+ " 5.5 \n",
+ " ... \n",
+ " 0.000000 \n",
+ " 0.000000 \n",
+ " 0.095238 \n",
+ " 0.047619 \n",
+ " 0.000000 \n",
+ " 0.000000 \n",
+ " 0.142857 \n",
+ " 0.000000 \n",
+ " 0.047619 \n",
+ " 0.000000 \n",
+ " \n",
+ " \n",
+ " 1156 \n",
+ " 4 \n",
" Bonazzoli \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.5 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
" 0 \n",
" 0 \n",
" 0.0 \n",
- " 5.5 \n",
+ " 6.0 \n",
" ... \n",
- " 0.045977 \n",
- " 0.011494 \n",
- " 0.000000 \n",
- " 0.034483 \n",
- " 0.000000 \n",
- " 0.034483 \n",
- " 0.344828 \n",
- " 0.022989 \n",
- " 0.022989 \n",
- " 0.011494 \n",
+ " 0.047297 \n",
+ " 0.006757 \n",
+ " 0.006757 \n",
+ " 0.040541 \n",
+ " 0.013514 \n",
+ " 0.020270 \n",
+ " 0.324324 \n",
+ " 0.020270 \n",
+ " 0.013514 \n",
+ " 0.013514 \n",
" \n",
" \n",
- " 862 \n",
- " 3 \n",
+ " 1157 \n",
+ " 4 \n",
" Djuric \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 6.0 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 5.5 \n",
" 0 \n",
" 0 \n",
" 0.0 \n",
- " 6.0 \n",
+ " 5.5 \n",
" ... \n",
- " 0.024390 \n",
- " 0.008130 \n",
- " 0.048780 \n",
- " 0.008130 \n",
- " 0.130081 \n",
- " 0.081301 \n",
- " 0.178862 \n",
- " 0.000000 \n",
+ " 0.026316 \n",
+ " 0.006579 \n",
+ " 0.046053 \n",
+ " 0.006579 \n",
+ " 0.138158 \n",
+ " 0.092105 \n",
+ " 0.171053 \n",
" 0.000000 \n",
+ " 0.013158 \n",
" 0.000000 \n",
" \n",
" \n",
- " 863 \n",
- " 3 \n",
+ " 1158 \n",
+ " 4 \n",
" Ngonge \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 6.5 \n",
+ " Bologna \n",
" 1 \n",
+ " 5.5 \n",
+ " 0 \n",
" 0 \n",
" 0.0 \n",
- " 9.5 \n",
+ " 5.5 \n",
" ... \n",
- " 0.022727 \n",
- " 0.009091 \n",
- " 0.040909 \n",
- " 0.013636 \n",
- " 0.013636 \n",
- " 0.018182 \n",
- " 0.227273 \n",
- " 0.040909 \n",
- " 0.013636 \n",
- " 0.018182 \n",
+ " 0.019355 \n",
+ " 0.012903 \n",
+ " 0.032258 \n",
+ " 0.009677 \n",
+ " 0.012903 \n",
+ " 0.022581 \n",
+ " 0.206452 \n",
+ " 0.035484 \n",
+ " 0.012903 \n",
+ " 0.016129 \n",
" \n",
" \n",
"\n",
- "795 rows × 122 columns
\n",
+ "1070 rows × 122 columns
\n",
""
],
"text/plain": [
- " matchday player team oppteam home vote goals assists \\\n",
- "1 1 Zappacosta Atalanta Sassuolo 0 6.5 0 0 \n",
- "2 1 Djimsiti Atalanta Sassuolo 0 6.0 0 0 \n",
- "3 1 Kolasinac Atalanta Sassuolo 0 6.5 0 0 \n",
- "4 1 Zortea Atalanta Sassuolo 0 7.0 1 0 \n",
- "5 1 Ruggeri Atalanta Sassuolo 0 6.5 0 1 \n",
- ".. ... ... ... ... ... ... ... ... \n",
- "859 3 Folorunsho Verona Sassuolo 0 5.0 0 0 \n",
- "860 3 Serdar Verona Sassuolo 0 5.5 0 0 \n",
- "861 3 Bonazzoli Verona Sassuolo 0 5.5 0 0 \n",
- "862 3 Djuric Verona Sassuolo 0 6.0 0 0 \n",
- "863 3 Ngonge Verona Sassuolo 0 6.5 1 0 \n",
+ " matchday player team oppteam home vote goals assists \\\n",
+ "1 1 Zappacosta Atalanta Sassuolo 0 6.5 0 0 \n",
+ "2 1 Djimsiti Atalanta Sassuolo 0 6.0 0 0 \n",
+ "3 1 Kolasinac Atalanta Sassuolo 0 6.5 0 0 \n",
+ "4 1 Zortea Atalanta Sassuolo 0 7.0 1 0 \n",
+ "5 1 Ruggeri Atalanta Sassuolo 0 6.5 0 1 \n",
+ "... ... ... ... ... ... ... ... ... \n",
+ "1154 4 Serdar Verona Bologna 1 6.0 0 0 \n",
+ "1155 4 Suslov Verona Bologna 1 6.0 0 0 \n",
+ "1156 4 Bonazzoli Verona Bologna 1 6.0 0 0 \n",
+ "1157 4 Djuric Verona Bologna 1 5.5 0 0 \n",
+ "1158 4 Ngonge Verona Bologna 1 5.5 0 0 \n",
"\n",
- " cards_malus fantavote ... miscontrols dispossessed fouls fouled \\\n",
- "1 0.0 6.5 ... 0.026316 0.015789 0.010526 0.021053 \n",
- "2 0.0 6.0 ... 0.007874 0.000000 0.007874 0.000000 \n",
- "3 0.0 6.5 ... 0.003717 0.003717 0.000000 0.011152 \n",
- "4 0.0 10.0 ... 0.000000 0.015625 0.015625 0.000000 \n",
- "5 0.0 7.5 ... 0.012295 0.004098 0.016393 0.000000 \n",
- ".. ... ... ... ... ... ... ... \n",
- "859 0.0 5.0 ... 0.024490 0.008163 0.016327 0.040816 \n",
- "860 0.0 5.5 ... 0.036145 0.012048 0.012048 0.000000 \n",
- "861 0.0 5.5 ... 0.045977 0.011494 0.000000 0.034483 \n",
- "862 0.0 6.0 ... 0.024390 0.008130 0.048780 0.008130 \n",
- "863 0.0 9.5 ... 0.022727 0.009091 0.040909 0.013636 \n",
+ " cards_malus fantavote ... miscontrols dispossessed fouls \\\n",
+ "1 0.0 6.5 ... 0.020161 0.012097 0.012097 \n",
+ "2 0.0 6.0 ... 0.007874 0.000000 0.007874 \n",
+ "3 0.0 6.5 ... 0.002786 0.002786 0.002786 \n",
+ "4 0.0 10.0 ... 0.000000 0.020833 0.031250 \n",
+ "5 0.0 7.5 ... 0.012384 0.003096 0.012384 \n",
+ "... ... ... ... ... ... ... \n",
+ "1154 0.5 5.5 ... 0.028846 0.009615 0.019231 \n",
+ "1155 0.5 5.5 ... 0.000000 0.000000 0.095238 \n",
+ "1156 0.0 6.0 ... 0.047297 0.006757 0.006757 \n",
+ "1157 0.0 5.5 ... 0.026316 0.006579 0.046053 \n",
+ "1158 0.0 5.5 ... 0.019355 0.012903 0.032258 \n",
"\n",
- " aerials_won aerials_lost carries progressive_carries \\\n",
- "1 0.005263 0.021053 0.394737 0.047368 \n",
- "2 0.019685 0.027559 0.350394 0.000000 \n",
- "3 0.011152 0.018587 0.457249 0.022305 \n",
- "4 0.000000 0.015625 0.515625 0.062500 \n",
- "5 0.004098 0.024590 0.434426 0.016393 \n",
- ".. ... ... ... ... \n",
- "859 0.016327 0.053061 0.204082 0.016327 \n",
- "860 0.012048 0.036145 0.204819 0.000000 \n",
- "861 0.000000 0.034483 0.344828 0.022989 \n",
- "862 0.130081 0.081301 0.178862 0.000000 \n",
- "863 0.013636 0.018182 0.227273 0.040909 \n",
+ " fouled aerials_won aerials_lost carries progressive_carries \\\n",
+ "1 0.016129 0.008065 0.016129 0.391129 0.040323 \n",
+ "2 0.000000 0.019685 0.027559 0.350394 0.000000 \n",
+ "3 0.011142 0.013928 0.022284 0.412256 0.019499 \n",
+ "4 0.000000 0.000000 0.010417 0.447917 0.062500 \n",
+ "5 0.006192 0.003096 0.027864 0.408669 0.015480 \n",
+ "... ... ... ... ... ... \n",
+ "1154 0.000000 0.009615 0.038462 0.182692 0.000000 \n",
+ "1155 0.047619 0.000000 0.000000 0.142857 0.000000 \n",
+ "1156 0.040541 0.013514 0.020270 0.324324 0.020270 \n",
+ "1157 0.006579 0.138158 0.092105 0.171053 0.000000 \n",
+ "1158 0.009677 0.012903 0.022581 0.206452 0.035484 \n",
"\n",
- " carries_into_final_third carries_into_penalty_area \n",
- "1 0.026316 0.015789 \n",
- "2 0.000000 0.000000 \n",
- "3 0.033457 0.003717 \n",
- "4 0.046875 0.015625 \n",
- "5 0.016393 0.004098 \n",
- ".. ... ... \n",
- "859 0.024490 0.000000 \n",
- "860 0.000000 0.000000 \n",
- "861 0.022989 0.011494 \n",
- "862 0.000000 0.000000 \n",
- "863 0.013636 0.018182 \n",
+ " carries_into_final_third carries_into_penalty_area \n",
+ "1 0.020161 0.012097 \n",
+ "2 0.000000 0.000000 \n",
+ "3 0.025070 0.002786 \n",
+ "4 0.041667 0.010417 \n",
+ "5 0.012384 0.003096 \n",
+ "... ... ... \n",
+ "1154 0.000000 0.000000 \n",
+ "1155 0.047619 0.000000 \n",
+ "1156 0.013514 0.013514 \n",
+ "1157 0.013158 0.000000 \n",
+ "1158 0.012903 0.016129 \n",
"\n",
- "[795 rows x 122 columns]"
+ "[1070 rows x 122 columns]"
]
},
- "execution_count": 29,
+ "execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
@@ -2946,7 +2949,7 @@
},
{
"cell_type": "code",
- "execution_count": 30,
+ "execution_count": 17,
"id": "df26c8e0",
"metadata": {},
"outputs": [],
@@ -2964,7 +2967,7 @@
},
{
"cell_type": "code",
- "execution_count": 31,
+ "execution_count": 18,
"id": "4d06576a",
"metadata": {},
"outputs": [
@@ -3104,7 +3107,7 @@
},
{
"cell_type": "code",
- "execution_count": 32,
+ "execution_count": 19,
"id": "01bb7413",
"metadata": {},
"outputs": [
@@ -3179,7 +3182,7 @@
" 'vs_team_aerials_won_pct']"
]
},
- "execution_count": 32,
+ "execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
@@ -3198,7 +3201,7 @@
},
{
"cell_type": "code",
- "execution_count": 33,
+ "execution_count": 20,
"id": "02f961d8",
"metadata": {},
"outputs": [],
@@ -3311,7 +3314,7 @@
},
{
"cell_type": "code",
- "execution_count": 34,
+ "execution_count": 21,
"id": "5e3694a0",
"metadata": {},
"outputs": [],
@@ -3335,7 +3338,7 @@
},
{
"cell_type": "code",
- "execution_count": 35,
+ "execution_count": 22,
"id": "9b671646",
"metadata": {},
"outputs": [
@@ -3438,7 +3441,7 @@
"[1 rows x 92 columns]"
]
},
- "execution_count": 35,
+ "execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
@@ -3453,7 +3456,7 @@
},
{
"cell_type": "code",
- "execution_count": 36,
+ "execution_count": 23,
"id": "33f805a9",
"metadata": {},
"outputs": [
@@ -3469,7 +3472,10 @@
"500\n",
"600\n",
"700\n",
- "800\n"
+ "800\n",
+ "900\n",
+ "1000\n",
+ "1100\n"
]
}
],
@@ -3499,7 +3505,7 @@
},
{
"cell_type": "code",
- "execution_count": 37,
+ "execution_count": 24,
"id": "4d484846",
"metadata": {},
"outputs": [
@@ -3693,40 +3699,16 @@
" ... \n",
" \n",
" \n",
- " 859 \n",
- " 3 \n",
- " Folorunsho \n",
- " Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.0 \n",
- " ... \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " \n",
- " \n",
- " 860 \n",
- " 3 \n",
+ " 1154 \n",
+ " 4 \n",
" Serdar \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.5 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
" 0 \n",
" 0 \n",
- " 0.0 \n",
+ " 0.5 \n",
" 5.5 \n",
" ... \n",
" NaN \n",
@@ -3741,17 +3723,41 @@
" NaN \n",
" \n",
" \n",
- " 861 \n",
- " 3 \n",
+ " 1155 \n",
+ " 4 \n",
+ " Suslov \n",
+ " Verona \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.5 \n",
+ " 5.5 \n",
+ " ... \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " \n",
+ " \n",
+ " 1156 \n",
+ " 4 \n",
" Bonazzoli \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 5.5 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 6.0 \n",
" 0 \n",
" 0 \n",
" 0.0 \n",
- " 5.5 \n",
+ " 6.0 \n",
" ... \n",
" NaN \n",
" NaN \n",
@@ -3765,17 +3771,17 @@
" NaN \n",
" \n",
" \n",
- " 862 \n",
- " 3 \n",
+ " 1157 \n",
+ " 4 \n",
" Djuric \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 6.0 \n",
+ " Bologna \n",
+ " 1 \n",
+ " 5.5 \n",
" 0 \n",
" 0 \n",
" 0.0 \n",
- " 6.0 \n",
+ " 5.5 \n",
" ... \n",
" NaN \n",
" NaN \n",
@@ -3789,17 +3795,17 @@
" NaN \n",
" \n",
" \n",
- " 863 \n",
- " 3 \n",
+ " 1158 \n",
+ " 4 \n",
" Ngonge \n",
" Verona \n",
- " Sassuolo \n",
- " 0 \n",
- " 6.5 \n",
+ " Bologna \n",
" 1 \n",
+ " 5.5 \n",
+ " 0 \n",
" 0 \n",
" 0.0 \n",
- " 9.5 \n",
+ " 5.5 \n",
" ... \n",
" NaN \n",
" NaN \n",
@@ -3814,66 +3820,79 @@
" \n",
" \n",
"\n",
- "864 rows × 102 columns
\n",
+ "1159 rows × 102 columns
\n",
""
],
"text/plain": [
- " matchday player team oppteam home vote goals assists \\\n",
- "0 1 Musso Atalanta Sassuolo 0 6.5 0 0 \n",
- "1 1 Zappacosta Atalanta Sassuolo 0 6.5 0 0 \n",
- "2 1 Djimsiti Atalanta Sassuolo 0 6.0 0 0 \n",
- "3 1 Kolasinac Atalanta Sassuolo 0 6.5 0 0 \n",
- "4 1 Zortea Atalanta Sassuolo 0 7.0 1 0 \n",
- ".. ... ... ... ... ... ... ... ... \n",
- "859 3 Folorunsho Verona Sassuolo 0 5.0 0 0 \n",
- "860 3 Serdar Verona Sassuolo 0 5.5 0 0 \n",
- "861 3 Bonazzoli Verona Sassuolo 0 5.5 0 0 \n",
- "862 3 Djuric Verona Sassuolo 0 6.0 0 0 \n",
- "863 3 Ngonge Verona Sassuolo 0 6.5 1 0 \n",
+ " matchday player team oppteam home vote goals assists \\\n",
+ "0 1 Musso Atalanta Sassuolo 0 6.5 0 0 \n",
+ "1 1 Zappacosta Atalanta Sassuolo 0 6.5 0 0 \n",
+ "2 1 Djimsiti Atalanta Sassuolo 0 6.0 0 0 \n",
+ "3 1 Kolasinac Atalanta Sassuolo 0 6.5 0 0 \n",
+ "4 1 Zortea Atalanta Sassuolo 0 7.0 1 0 \n",
+ "... ... ... ... ... ... ... ... ... \n",
+ "1154 4 Serdar Verona Bologna 1 6.0 0 0 \n",
+ "1155 4 Suslov Verona Bologna 1 6.0 0 0 \n",
+ "1156 4 Bonazzoli Verona Bologna 1 6.0 0 0 \n",
+ "1157 4 Djuric Verona Bologna 1 5.5 0 0 \n",
+ "1158 4 Ngonge Verona Bologna 1 5.5 0 0 \n",
"\n",
- " cards_malus fantavote ... gk_psxg gk_psnpxg_per_shot_on_target_against \\\n",
- "0 0.0 6.5 ... 2.1 0.21 \n",
- "1 0.0 6.5 ... NaN NaN \n",
- "2 0.0 6.0 ... NaN NaN \n",
- "3 0.0 6.5 ... NaN NaN \n",
- "4 0.0 10.0 ... NaN NaN \n",
- ".. ... ... ... ... ... \n",
- "859 0.0 5.0 ... NaN NaN \n",
- "860 0.0 5.5 ... NaN NaN \n",
- "861 0.0 5.5 ... NaN NaN \n",
- "862 0.0 6.0 ... NaN NaN \n",
- "863 0.0 9.5 ... NaN NaN \n",
+ " cards_malus fantavote ... gk_psxg \\\n",
+ "0 0.0 6.5 ... 2.1 \n",
+ "1 0.0 6.5 ... NaN \n",
+ "2 0.0 6.0 ... NaN \n",
+ "3 0.0 6.5 ... NaN \n",
+ "4 0.0 10.0 ... NaN \n",
+ "... ... ... ... ... \n",
+ "1154 0.5 5.5 ... NaN \n",
+ "1155 0.5 5.5 ... NaN \n",
+ "1156 0.0 6.0 ... NaN \n",
+ "1157 0.0 5.5 ... NaN \n",
+ "1158 0.0 5.5 ... NaN \n",
"\n",
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- "860 NaN NaN NaN NaN \n",
- "861 NaN NaN NaN NaN \n",
- "862 NaN NaN NaN NaN \n",
- "863 NaN NaN NaN NaN \n",
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+ "0 0.21 0.1 \n",
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+ "2 NaN NaN \n",
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+ "4 NaN NaN \n",
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+ "1154 NaN NaN \n",
+ "1155 NaN NaN \n",
+ "1156 NaN NaN \n",
+ "1157 NaN NaN \n",
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"\n",
- " gk_passes_throws gk_goal_kicks gk_crosses gk_crosses_stopped \n",
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- ".. ... ... ... ... \n",
- "859 NaN NaN NaN NaN \n",
- "860 NaN NaN NaN NaN \n",
- "861 NaN NaN NaN NaN \n",
- "862 NaN NaN NaN NaN \n",
- "863 NaN NaN NaN NaN \n",
+ " gk_passes_completed_launched gk_passes_launched gk_passes \\\n",
+ "0 11.0 34.0 88.0 \n",
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+ "2 NaN NaN NaN \n",
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+ "... ... ... ... \n",
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+ "1155 NaN NaN NaN \n",
+ "1156 NaN NaN NaN \n",
+ "1157 NaN NaN NaN \n",
+ "1158 NaN NaN NaN \n",
"\n",
- "[864 rows x 102 columns]"
+ " gk_passes_throws gk_goal_kicks gk_crosses gk_crosses_stopped \n",
+ "0 18.0 18.0 28.0 2.0 \n",
+ "1 NaN NaN NaN NaN \n",
+ "2 NaN NaN NaN NaN \n",
+ "3 NaN NaN NaN NaN \n",
+ "4 NaN NaN NaN NaN \n",
+ "... ... ... ... ... \n",
+ "1154 NaN NaN NaN NaN \n",
+ "1155 NaN NaN NaN NaN \n",
+ "1156 NaN NaN NaN NaN \n",
+ "1157 NaN NaN NaN NaN \n",
+ "1158 NaN NaN NaN NaN \n",
+ "\n",
+ "[1159 rows x 102 columns]"
]
},
- "execution_count": 37,
+ "execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
@@ -3884,7 +3903,7 @@
},
{
"cell_type": "code",
- "execution_count": 38,
+ "execution_count": 25,
"id": "adab3577",
"metadata": {},
"outputs": [],
@@ -3894,7 +3913,7 @@
},
{
"cell_type": "code",
- "execution_count": 39,
+ "execution_count": 26,
"id": "e7ae792d",
"metadata": {},
"outputs": [
@@ -3980,15 +3999,15 @@
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- " Empoli \n",
- " 1 \n",
- " 7.5 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 7.5 \n",
- " ... \n",
- " 4.2 \n",
- " 0.25 \n",
- " -0.8 \n",
- " 7.0 \n",
- " 32.0 \n",
- " 111.0 \n",
- " 16.0 \n",
- " 22.0 \n",
- " 45.0 \n",
- " 2.0 \n",
- " \n",
- " \n",
- " 471 \n",
- " 2 \n",
- " Meret \n",
- " Napoli \n",
- " Sassuolo \n",
- " 1 \n",
- " 6.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 6.0 \n",
- " ... \n",
- " 2.2 \n",
- " 0.31 \n",
- " -0.8 \n",
- " 3.0 \n",
- " 10.0 \n",
- " 78.0 \n",
- " 7.0 \n",
- " 8.0 \n",
- " 15.0 \n",
- " 1.0 \n",
- " \n",
- " \n",
- " 483 \n",
- " 2 \n",
- " Rui Patricio \n",
- " Roma \n",
- " Verona \n",
- " 0 \n",
- " 5.0 \n",
- " -2 \n",
- " 0 \n",
- " 0.0 \n",
- " 3.0 \n",
- " ... \n",
- " 3.6 \n",
- " 0.30 \n",
- " -2.4 \n",
- " 6.0 \n",
- " 13.0 \n",
- " 47.0 \n",
- " 6.0 \n",
- " 12.0 \n",
- " 15.0 \n",
- " 0.0 \n",
- " \n",
- " \n",
- " 499 \n",
- " 2 \n",
- " Ochoa \n",
- " Salernitana \n",
- " Udinese \n",
- " 1 \n",
- " 6.5 \n",
- " -1 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.5 \n",
- " ... \n",
- " 3.7 \n",
- " 0.19 \n",
- " -1.3 \n",
- " 13.0 \n",
- " 52.0 \n",
- " 70.0 \n",
- " 12.0 \n",
- " 31.0 \n",
- " 51.0 \n",
- " 3.0 \n",
- " \n",
- " \n",
- " 513 \n",
- " 2 \n",
- " Consigli \n",
- " Sassuolo \n",
- " Napoli \n",
- " 0 \n",
- " 6.0 \n",
- " -2 \n",
- " 0 \n",
- " 0.0 \n",
- " 4.0 \n",
- " ... \n",
- " 3.3 \n",
- " 0.19 \n",
- " -1.7 \n",
- " 11.0 \n",
- " 46.0 \n",
- " 95.0 \n",
- " 10.0 \n",
- " 34.0 \n",
- " 46.0 \n",
- " 2.0 \n",
- " \n",
- " \n",
- " 529 \n",
- " 2 \n",
- " Milinkovic-Savic V. \n",
- " Torino \n",
- " Milan \n",
- " 0 \n",
- " 5.5 \n",
" -4 \n",
" 0 \n",
- " 0.5 \n",
- " 1.0 \n",
+ " 0.0 \n",
+ " 2.5 \n",
" ... \n",
- " 3.9 \n",
- " 0.17 \n",
- " -0.1 \n",
+ " 2.8 \n",
+ " 0.30 \n",
+ " -1.2 \n",
+ " 5.0 \n",
" 15.0 \n",
- " 47.0 \n",
- " 85.0 \n",
- " 19.0 \n",
- " 29.0 \n",
- " 23.0 \n",
+ " 24.0 \n",
+ " 3.0 \n",
+ " 9.0 \n",
+ " 9.0 \n",
" 0.0 \n",
" \n",
" \n",
- " 544 \n",
- " 2 \n",
+ " 1117 \n",
+ " 4 \n",
+ " Milinkovic-Savic V. \n",
+ " Torino \n",
+ " Salernitana \n",
+ " 0 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 6.0 \n",
+ " ... \n",
+ " 4.6 \n",
+ " 0.18 \n",
+ " 0.6 \n",
+ " 29.0 \n",
+ " 79.0 \n",
+ " 117.0 \n",
+ " 23.0 \n",
+ " 36.0 \n",
+ " 33.0 \n",
+ " 3.0 \n",
+ " \n",
+ " \n",
+ " 1129 \n",
+ " 4 \n",
" Silvestri \n",
" Udinese \n",
- " Salernitana \n",
- " 0 \n",
- " 5.5 \n",
- " -1 \n",
- " 0 \n",
- " 0.0 \n",
- " 4.5 \n",
- " ... \n",
- " 3.8 \n",
- " 0.31 \n",
- " -0.2 \n",
- " 11.0 \n",
- " 31.0 \n",
- " 70.0 \n",
- " 10.0 \n",
- " 21.0 \n",
- " 33.0 \n",
- " 0.0 \n",
- " \n",
- " \n",
- " 557 \n",
- " 2 \n",
- " Montipo' \n",
- " Verona \n",
- " Roma \n",
- " 1 \n",
- " 6.0 \n",
- " -1 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.0 \n",
- " ... \n",
- " 4.3 \n",
- " 0.20 \n",
- " 0.3 \n",
- " 27.0 \n",
- " 72.0 \n",
- " 84.0 \n",
- " 7.0 \n",
- " 28.0 \n",
- " 44.0 \n",
- " 1.0 \n",
- " \n",
- " \n",
- " 571 \n",
- " 3 \n",
- " Musso \n",
- " Atalanta \n",
- " Monza \n",
- " 1 \n",
- " 6.5 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 6.5 \n",
- " ... \n",
- " 2.1 \n",
- " 0.21 \n",
- " 0.1 \n",
- " 11.0 \n",
- " 34.0 \n",
- " 88.0 \n",
- " 18.0 \n",
- " 18.0 \n",
- " 28.0 \n",
- " 2.0 \n",
- " \n",
- " \n",
- " 584 \n",
- " 3 \n",
- " Skorupski \n",
- " Bologna \n",
" Cagliari \n",
- " 1 \n",
- " 6.0 \n",
- " -1 \n",
" 0 \n",
- " 0.0 \n",
- " 5.0 \n",
- " ... \n",
- " 3.0 \n",
- " 0.33 \n",
- " -1.0 \n",
- " 11.0 \n",
- " 31.0 \n",
- " 63.0 \n",
- " 14.0 \n",
- " 19.0 \n",
- " 45.0 \n",
- " 2.0 \n",
- " \n",
- " \n",
- " 598 \n",
- " 3 \n",
- " Radunovic \n",
- " Cagliari \n",
- " Bologna \n",
- " 0 \n",
- " 4.5 \n",
- " -2 \n",
- " 0 \n",
- " 0.0 \n",
- " 2.5 \n",
- " ... \n",
- " 4.0 \n",
- " 0.34 \n",
- " 0.0 \n",
- " 16.0 \n",
- " 41.0 \n",
- " 53.0 \n",
- " 14.0 \n",
- " 28.0 \n",
- " 49.0 \n",
- " 2.0 \n",
- " \n",
- " \n",
- " 614 \n",
- " 3 \n",
- " Berisha \n",
- " Empoli \n",
- " Juventus \n",
- " 1 \n",
- " 6.5 \n",
- " -2 \n",
- " 0 \n",
- " 0.0 \n",
- " 4.5 \n",
- " ... \n",
- " 1.8 \n",
- " 0.18 \n",
- " -0.2 \n",
- " 2.0 \n",
- " 12.0 \n",
- " 32.0 \n",
- " 8.0 \n",
- " 7.0 \n",
- " 17.0 \n",
- " 0.0 \n",
- " \n",
- " \n",
- " 629 \n",
- " 3 \n",
- " Christensen O. \n",
- " Fiorentina \n",
- " Inter \n",
- " 0 \n",
- " 5.5 \n",
- " -4 \n",
- " 0 \n",
- " 0.0 \n",
- " 1.5 \n",
- " ... \n",
- " 3.2 \n",
- " 0.18 \n",
- " -2.8 \n",
- " 14.0 \n",
- " 31.0 \n",
- " 78.0 \n",
- " 7.0 \n",
- " 8.0 \n",
- " 15.0 \n",
- " 0.0 \n",
- " \n",
- " \n",
- " 645 \n",
- " 3 \n",
- " Turati \n",
- " Frosinone \n",
- " Udinese \n",
- " 0 \n",
- " 6.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 6.0 \n",
- " ... \n",
- " 3.6 \n",
- " 0.26 \n",
- " 0.6 \n",
- " 5.0 \n",
- " 19.0 \n",
- " 61.0 \n",
- " 17.0 \n",
- " 10.0 \n",
- " 25.0 \n",
- " 2.0 \n",
- " \n",
- " \n",
- " 657 \n",
- " 3 \n",
- " Martinez Jo. \n",
- " Genoa \n",
- " Torino \n",
- " 0 \n",
- " 6.0 \n",
- " -1 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.0 \n",
- " ... \n",
- " 2.6 \n",
- " 0.27 \n",
- " -2.4 \n",
- " 27.0 \n",
- " 55.0 \n",
- " 94.0 \n",
- " 9.0 \n",
- " 14.0 \n",
- " 64.0 \n",
- " 8.0 \n",
- " \n",
- " \n",
- " 672 \n",
- " 3 \n",
- " Sommer \n",
- " Inter \n",
- " Fiorentina \n",
- " 1 \n",
- " 6.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 6.0 \n",
- " ... \n",
- " 1.2 \n",
- " 0.21 \n",
- " 1.2 \n",
- " 19.0 \n",
- " 32.0 \n",
- " 81.0 \n",
- " 12.0 \n",
- " 21.0 \n",
- " 35.0 \n",
- " 1.0 \n",
- " \n",
- " \n",
- " 687 \n",
- " 3 \n",
- " Perin \n",
- " Juventus \n",
- " Empoli \n",
- " 0 \n",
- " 6.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 6.0 \n",
- " ... \n",
- " 1.2 \n",
- " 0.30 \n",
- " 0.2 \n",
- " 5.0 \n",
- " 13.0 \n",
- " 42.0 \n",
- " 9.0 \n",
- " 11.0 \n",
- " 26.0 \n",
- " 2.0 \n",
- " \n",
- " \n",
- " 701 \n",
- " 3 \n",
- " Provedel \n",
- " Lazio \n",
- " Napoli \n",
- " 0 \n",
- " 6.5 \n",
- " -1 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.5 \n",
- " ... \n",
- " 2.5 \n",
- " 0.18 \n",
- " -1.5 \n",
- " 6.0 \n",
- " 16.0 \n",
- " 89.0 \n",
- " 11.0 \n",
- " 11.0 \n",
- " 39.0 \n",
- " 2.0 \n",
- " \n",
- " \n",
- " 715 \n",
- " 3 \n",
- " Falcone \n",
- " Lecce \n",
- " Salernitana \n",
- " 1 \n",
- " 6.5 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 6.5 \n",
- " ... \n",
- " 3.0 \n",
- " 0.25 \n",
- " 0.0 \n",
- " 17.0 \n",
- " 43.0 \n",
- " 57.0 \n",
- " 14.0 \n",
- " 24.0 \n",
- " 32.0 \n",
- " 2.0 \n",
- " \n",
- " \n",
- " 731 \n",
- " 3 \n",
- " Maignan \n",
- " Milan \n",
- " Roma \n",
- " 0 \n",
- " 6.0 \n",
- " -1 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.0 \n",
- " ... \n",
- " 0.6 \n",
- " 0.08 \n",
- " -1.4 \n",
- " 20.0 \n",
- " 57.0 \n",
- " 170.0 \n",
- " 23.0 \n",
- " 20.0 \n",
- " 43.0 \n",
- " 12.0 \n",
- " \n",
- " \n",
- " 746 \n",
- " 3 \n",
- " Di Gregorio \n",
- " Monza \n",
- " Atalanta \n",
- " 0 \n",
- " 6.0 \n",
- " -3 \n",
- " 0 \n",
- " 0.0 \n",
- " 3.0 \n",
- " ... \n",
- " 4.2 \n",
- " 0.25 \n",
- " -0.8 \n",
- " 7.0 \n",
- " 32.0 \n",
- " 111.0 \n",
- " 16.0 \n",
- " 22.0 \n",
- " 45.0 \n",
- " 2.0 \n",
- " \n",
- " \n",
- " 762 \n",
- " 3 \n",
- " Meret \n",
- " Napoli \n",
- " Lazio \n",
- " 1 \n",
- " 5.5 \n",
- " -2 \n",
- " 0 \n",
- " 0.0 \n",
- " 3.5 \n",
- " ... \n",
- " 2.2 \n",
- " 0.31 \n",
- " -0.8 \n",
- " 3.0 \n",
- " 10.0 \n",
- " 78.0 \n",
- " 7.0 \n",
- " 8.0 \n",
- " 15.0 \n",
- " 1.0 \n",
- " \n",
- " \n",
- " 776 \n",
- " 3 \n",
- " Rui Patricio \n",
- " Roma \n",
- " Milan \n",
- " 1 \n",
- " 6.0 \n",
- " -2 \n",
- " 0 \n",
- " 0.0 \n",
- " 4.0 \n",
- " ... \n",
- " 3.6 \n",
- " 0.30 \n",
- " -2.4 \n",
- " 6.0 \n",
- " 13.0 \n",
- " 47.0 \n",
- " 6.0 \n",
- " 12.0 \n",
- " 15.0 \n",
- " 0.0 \n",
- " \n",
- " \n",
- " 791 \n",
- " 3 \n",
- " Ochoa \n",
- " Salernitana \n",
- " Lecce \n",
- " 0 \n",
- " 6.5 \n",
- " -2 \n",
- " 0 \n",
- " 0.0 \n",
- " 4.5 \n",
- " ... \n",
- " 3.7 \n",
- " 0.19 \n",
- " -1.3 \n",
- " 13.0 \n",
- " 52.0 \n",
- " 70.0 \n",
- " 12.0 \n",
- " 31.0 \n",
- " 51.0 \n",
- " 3.0 \n",
- " \n",
- " \n",
- " 806 \n",
- " 3 \n",
- " Consigli \n",
- " Sassuolo \n",
- " Verona \n",
- " 1 \n",
- " 5.5 \n",
- " -1 \n",
- " 0 \n",
- " 0.0 \n",
- " 4.5 \n",
- " ... \n",
- " 3.3 \n",
- " 0.19 \n",
- " -1.7 \n",
- " 11.0 \n",
- " 46.0 \n",
- " 95.0 \n",
- " 10.0 \n",
- " 34.0 \n",
- " 46.0 \n",
- " 2.0 \n",
- " \n",
- " \n",
- " 821 \n",
- " 3 \n",
- " Milinkovic-Savic V. \n",
- " Torino \n",
- " Genoa \n",
- " 1 \n",
" 6.0 \n",
" 0 \n",
" 0 \n",
@@ -5325,384 +4192,115 @@
" 6.0 \n",
" ... \n",
" 3.9 \n",
- " 0.17 \n",
+ " 0.29 \n",
" -0.1 \n",
- " 15.0 \n",
- " 47.0 \n",
- " 85.0 \n",
- " 19.0 \n",
- " 29.0 \n",
- " 23.0 \n",
- " 0.0 \n",
- " \n",
- " \n",
- " 836 \n",
- " 3 \n",
- " Silvestri \n",
- " Udinese \n",
- " Frosinone \n",
- " 1 \n",
- " 6.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 6.0 \n",
- " ... \n",
- " 3.8 \n",
- " 0.31 \n",
- " -0.2 \n",
" 11.0 \n",
- " 31.0 \n",
- " 70.0 \n",
- " 10.0 \n",
- " 21.0 \n",
- " 33.0 \n",
+ " 34.0 \n",
+ " 94.0 \n",
+ " 14.0 \n",
+ " 32.0 \n",
+ " 49.0 \n",
" 0.0 \n",
" \n",
" \n",
- " 850 \n",
- " 3 \n",
+ " 1143 \n",
+ " 4 \n",
" Montipo' \n",
" Verona \n",
- " Sassuolo \n",
+ " Bologna \n",
+ " 1 \n",
+ " 7.0 \n",
" 0 \n",
- " 6.5 \n",
- " -3 \n",
" 0 \n",
" 0.0 \n",
- " 3.5 \n",
- " ... \n",
- " 4.3 \n",
- " 0.20 \n",
- " 0.3 \n",
- " 27.0 \n",
- " 72.0 \n",
- " 84.0 \n",
" 7.0 \n",
- " 28.0 \n",
- " 44.0 \n",
+ " ... \n",
+ " 4.9 \n",
+ " 0.19 \n",
+ " 0.9 \n",
+ " 35.0 \n",
+ " 93.0 \n",
+ " 109.0 \n",
+ " 8.0 \n",
+ " 35.0 \n",
+ " 54.0 \n",
" 1.0 \n",
" \n",
" \n",
"\n",
- "60 rows × 102 columns
\n",
+ "80 rows × 102 columns
\n",
""
],
"text/plain": [
- " matchday player team oppteam home vote \\\n",
- "0 1 Musso Atalanta Sassuolo 0 6.5 \n",
- "16 1 Skorupski Bologna Milan 1 6.0 \n",
- "29 1 Radunovic Cagliari Torino 0 6.5 \n",
- "44 1 Caprile Empoli Verona 1 5.0 \n",
- "57 1 Terracciano Fiorentina Genoa 0 6.0 \n",
- "69 1 Turati Frosinone Napoli 1 5.5 \n",
- "84 1 Martinez Jo. Genoa Fiorentina 1 6.0 \n",
- "98 1 Sommer Inter Monza 1 6.0 \n",
- "112 1 Szczesny Juventus Udinese 0 7.0 \n",
- "127 1 Provedel Lazio Lecce 0 6.0 \n",
- "142 1 Falcone Lecce Lazio 1 7.0 \n",
- "158 1 Maignan Milan Bologna 0 6.0 \n",
- "173 1 Di Gregorio Monza Inter 0 6.0 \n",
- "188 1 Meret Napoli Frosinone 0 6.0 \n",
- "202 1 Rui Patricio Roma Salernitana 1 6.0 \n",
- "217 1 Ochoa Salernitana Roma 0 6.5 \n",
- "229 1 Consigli Sassuolo Atalanta 1 6.0 \n",
- "242 1 Milinkovic-Savic V. Torino Cagliari 1 6.5 \n",
- "257 1 Silvestri Udinese Juventus 1 5.0 \n",
- "273 1 Montipo' Verona Empoli 0 6.5 \n",
- "287 2 Musso Atalanta Frosinone 0 6.0 \n",
- "302 2 Skorupski Bologna Juventus 0 6.5 \n",
- "316 2 Radunovic Cagliari Inter 1 6.0 \n",
- "330 2 Perisan Empoli Monza 0 5.0 \n",
- "346 2 Christensen O. Fiorentina Lecce 1 6.0 \n",
- "360 2 Cerofolini Frosinone Atalanta 1 6.5 \n",
- "373 2 Martinez Jo. Genoa Lazio 0 6.0 \n",
- "387 2 Sommer Inter Cagliari 0 6.0 \n",
- "402 2 Perin Juventus Bologna 1 6.0 \n",
- "416 2 Provedel Lazio Genoa 1 6.0 \n",
- "430 2 Falcone Lecce Fiorentina 0 6.0 \n",
- "444 2 Maignan Milan Torino 1 6.0 \n",
- "458 2 Di Gregorio Monza Empoli 1 7.5 \n",
- "471 2 Meret Napoli Sassuolo 1 6.0 \n",
- "483 2 Rui Patricio Roma Verona 0 5.0 \n",
- "499 2 Ochoa Salernitana Udinese 1 6.5 \n",
- "513 2 Consigli Sassuolo Napoli 0 6.0 \n",
- "529 2 Milinkovic-Savic V. Torino Milan 0 5.5 \n",
- "544 2 Silvestri Udinese Salernitana 0 5.5 \n",
- "557 2 Montipo' Verona Roma 1 6.0 \n",
- "571 3 Musso Atalanta Monza 1 6.5 \n",
- "584 3 Skorupski Bologna Cagliari 1 6.0 \n",
- "598 3 Radunovic Cagliari Bologna 0 4.5 \n",
- "614 3 Berisha Empoli Juventus 1 6.5 \n",
- "629 3 Christensen O. Fiorentina Inter 0 5.5 \n",
- "645 3 Turati Frosinone Udinese 0 6.0 \n",
- "657 3 Martinez Jo. Genoa Torino 0 6.0 \n",
- "672 3 Sommer Inter Fiorentina 1 6.0 \n",
- "687 3 Perin Juventus Empoli 0 6.0 \n",
- "701 3 Provedel Lazio Napoli 0 6.5 \n",
- "715 3 Falcone Lecce Salernitana 1 6.5 \n",
- "731 3 Maignan Milan Roma 0 6.0 \n",
- "746 3 Di Gregorio Monza Atalanta 0 6.0 \n",
- "762 3 Meret Napoli Lazio 1 5.5 \n",
- "776 3 Rui Patricio Roma Milan 1 6.0 \n",
- "791 3 Ochoa Salernitana Lecce 0 6.5 \n",
- "806 3 Consigli Sassuolo Verona 1 5.5 \n",
- "821 3 Milinkovic-Savic V. Torino Genoa 1 6.0 \n",
- "836 3 Silvestri Udinese Frosinone 1 6.0 \n",
- "850 3 Montipo' Verona Sassuolo 0 6.5 \n",
+ " matchday player team oppteam home vote \\\n",
+ "0 1 Musso Atalanta Sassuolo 0 6.5 \n",
+ "16 1 Skorupski Bologna Milan 1 6.0 \n",
+ "29 1 Radunovic Cagliari Torino 0 6.5 \n",
+ "44 1 Caprile Empoli Verona 1 5.0 \n",
+ "57 1 Terracciano Fiorentina Genoa 0 6.0 \n",
+ "... ... ... ... ... ... ... \n",
+ "1085 4 Ochoa Salernitana Torino 1 5.0 \n",
+ "1101 4 Cragno Sassuolo Frosinone 0 6.5 \n",
+ "1117 4 Milinkovic-Savic V. Torino Salernitana 0 6.0 \n",
+ "1129 4 Silvestri Udinese Cagliari 0 6.0 \n",
+ "1143 4 Montipo' Verona Bologna 1 7.0 \n",
"\n",
- " goals assists cards_malus fantavote ... gk_psxg \\\n",
- "0 0 0 0.0 6.5 ... 2.1 \n",
- "16 -2 0 0.0 4.0 ... 3.0 \n",
- "29 0 0 0.0 6.5 ... 4.0 \n",
- "44 -1 0 0.0 4.0 ... 0.4 \n",
- "57 -1 0 0.0 5.0 ... 0.3 \n",
- "69 -3 0 0.0 2.5 ... 3.6 \n",
- "84 -4 0 0.0 2.0 ... 2.6 \n",
- "98 0 0 0.0 6.0 ... 1.2 \n",
- "112 0 0 0.0 7.0 ... 1.4 \n",
- "127 -2 0 0.0 4.0 ... 2.5 \n",
- "142 -1 0 0.0 6.0 ... 3.0 \n",
- "158 0 0 0.0 6.0 ... 0.6 \n",
- "173 -2 0 0.0 4.0 ... 4.2 \n",
- "188 -1 0 0.0 5.0 ... 2.2 \n",
- "202 -2 0 0.0 4.0 ... 3.6 \n",
- "217 -2 0 0.0 4.5 ... 3.7 \n",
- "229 -2 0 0.0 4.0 ... 3.3 \n",
- "242 0 0 0.0 6.5 ... 3.9 \n",
- "257 -3 0 0.0 2.0 ... 3.8 \n",
- "273 0 0 0.0 6.5 ... 4.3 \n",
- "287 -2 0 0.0 4.0 ... 2.1 \n",
- "302 -1 0 0.0 5.5 ... 3.0 \n",
- "316 -2 0 0.0 4.0 ... 4.0 \n",
- "330 -2 0 0.0 3.0 ... 0.7 \n",
- "346 -2 0 0.0 4.0 ... 3.2 \n",
- "360 -1 0 0.0 5.5 ... 1.0 \n",
- "373 0 0 0.0 6.0 ... 2.6 \n",
- "387 0 0 0.0 6.0 ... 1.2 \n",
- "402 -1 0 0.0 5.0 ... 1.2 \n",
- "416 -1 0 0.0 5.0 ... 2.5 \n",
- "430 -2 0 0.0 4.0 ... 3.0 \n",
- "444 -1 0 0.0 5.0 ... 0.6 \n",
- "458 0 0 0.0 7.5 ... 4.2 \n",
- "471 0 0 0.0 6.0 ... 2.2 \n",
- "483 -2 0 0.0 3.0 ... 3.6 \n",
- "499 -1 0 0.0 5.5 ... 3.7 \n",
- "513 -2 0 0.0 4.0 ... 3.3 \n",
- "529 -4 0 0.5 1.0 ... 3.9 \n",
- "544 -1 0 0.0 4.5 ... 3.8 \n",
- "557 -1 0 0.0 5.0 ... 4.3 \n",
- "571 0 0 0.0 6.5 ... 2.1 \n",
- "584 -1 0 0.0 5.0 ... 3.0 \n",
- "598 -2 0 0.0 2.5 ... 4.0 \n",
- "614 -2 0 0.0 4.5 ... 1.8 \n",
- "629 -4 0 0.0 1.5 ... 3.2 \n",
- "645 0 0 0.0 6.0 ... 3.6 \n",
- "657 -1 0 0.0 5.0 ... 2.6 \n",
- "672 0 0 0.0 6.0 ... 1.2 \n",
- "687 0 0 0.0 6.0 ... 1.2 \n",
- "701 -1 0 0.0 5.5 ... 2.5 \n",
- "715 0 0 0.0 6.5 ... 3.0 \n",
- "731 -1 0 0.0 5.0 ... 0.6 \n",
- "746 -3 0 0.0 3.0 ... 4.2 \n",
- "762 -2 0 0.0 3.5 ... 2.2 \n",
- "776 -2 0 0.0 4.0 ... 3.6 \n",
- "791 -2 0 0.0 4.5 ... 3.7 \n",
- "806 -1 0 0.0 4.5 ... 3.3 \n",
- "821 0 0 0.0 6.0 ... 3.9 \n",
- "836 0 0 0.0 6.0 ... 3.8 \n",
- "850 -3 0 0.0 3.5 ... 4.3 \n",
+ " goals assists cards_malus fantavote ... gk_psxg \\\n",
+ "0 0 0 0.0 6.5 ... 2.1 \n",
+ "16 -2 0 0.0 4.0 ... 3.2 \n",
+ "29 0 0 0.0 6.5 ... 4.1 \n",
+ "44 -1 0 0.0 4.0 ... 0.4 \n",
+ "57 -1 0 0.0 5.0 ... 1.0 \n",
+ "... ... ... ... ... ... ... \n",
+ "1085 -3 0 0.0 2.0 ... 4.7 \n",
+ "1101 -4 0 0.0 2.5 ... 2.8 \n",
+ "1117 0 0 0.0 6.0 ... 4.6 \n",
+ "1129 0 0 0.0 6.0 ... 3.9 \n",
+ "1143 0 0 0.0 7.0 ... 4.9 \n",
"\n",
- " gk_psnpxg_per_shot_on_target_against gk_psxg_net \\\n",
- "0 0.21 0.1 \n",
- "16 0.33 -1.0 \n",
- "29 0.34 0.0 \n",
- "44 0.11 -0.6 \n",
- "57 0.13 -0.7 \n",
- "69 0.26 0.6 \n",
- "84 0.27 -2.4 \n",
- "98 0.21 1.2 \n",
- "112 0.30 1.4 \n",
- "127 0.18 -1.5 \n",
- "142 0.25 0.0 \n",
- "158 0.08 -1.4 \n",
- "173 0.25 -0.8 \n",
- "188 0.31 -0.8 \n",
- "202 0.30 -2.4 \n",
- "217 0.19 -1.3 \n",
- "229 0.19 -1.7 \n",
- "242 0.17 -0.1 \n",
- "257 0.31 -0.2 \n",
- "273 0.20 0.3 \n",
- "287 0.21 0.1 \n",
- "302 0.33 -1.0 \n",
- "316 0.34 0.0 \n",
- "330 0.14 -1.3 \n",
- "346 0.18 -2.8 \n",
- "360 0.16 0.0 \n",
- "373 0.27 -2.4 \n",
- "387 0.21 1.2 \n",
- "402 0.30 0.2 \n",
- "416 0.18 -1.5 \n",
- "430 0.25 0.0 \n",
- "444 0.08 -1.4 \n",
- "458 0.25 -0.8 \n",
- "471 0.31 -0.8 \n",
- "483 0.30 -2.4 \n",
- "499 0.19 -1.3 \n",
- "513 0.19 -1.7 \n",
- "529 0.17 -0.1 \n",
- "544 0.31 -0.2 \n",
- "557 0.20 0.3 \n",
- "571 0.21 0.1 \n",
- "584 0.33 -1.0 \n",
- "598 0.34 0.0 \n",
- "614 0.18 -0.2 \n",
- "629 0.18 -2.8 \n",
- "645 0.26 0.6 \n",
- "657 0.27 -2.4 \n",
- "672 0.21 1.2 \n",
- "687 0.30 0.2 \n",
- "701 0.18 -1.5 \n",
- "715 0.25 0.0 \n",
- "731 0.08 -1.4 \n",
- "746 0.25 -0.8 \n",
- "762 0.31 -0.8 \n",
- "776 0.30 -2.4 \n",
- "791 0.19 -1.3 \n",
- "806 0.19 -1.7 \n",
- "821 0.17 -0.1 \n",
- "836 0.31 -0.2 \n",
- "850 0.20 0.3 \n",
+ " gk_psnpxg_per_shot_on_target_against gk_psxg_net \\\n",
+ "0 0.21 0.1 \n",
+ "16 0.32 -0.8 \n",
+ "29 0.33 0.1 \n",
+ "44 0.11 -0.6 \n",
+ "57 0.17 -2.0 \n",
+ "... ... ... \n",
+ "1085 0.21 -3.3 \n",
+ "1101 0.30 -1.2 \n",
+ "1117 0.18 0.6 \n",
+ "1129 0.29 -0.1 \n",
+ "1143 0.19 0.9 \n",
"\n",
- " gk_passes_completed_launched gk_passes_launched gk_passes \\\n",
- "0 11.0 34.0 88.0 \n",
- "16 11.0 31.0 63.0 \n",
- "29 16.0 41.0 53.0 \n",
- "44 4.0 20.0 37.0 \n",
- "57 3.0 5.0 47.0 \n",
- "69 5.0 19.0 61.0 \n",
- "84 27.0 55.0 94.0 \n",
- "98 19.0 32.0 81.0 \n",
- "112 5.0 14.0 34.0 \n",
- "127 6.0 16.0 89.0 \n",
- "142 17.0 43.0 57.0 \n",
- "158 20.0 57.0 170.0 \n",
- "173 7.0 32.0 111.0 \n",
- "188 3.0 10.0 78.0 \n",
- "202 6.0 13.0 47.0 \n",
- "217 13.0 52.0 70.0 \n",
- "229 11.0 46.0 95.0 \n",
- "242 15.0 47.0 85.0 \n",
- "257 11.0 31.0 70.0 \n",
- "273 27.0 72.0 84.0 \n",
- "287 11.0 34.0 88.0 \n",
- "302 11.0 31.0 63.0 \n",
- "316 16.0 41.0 53.0 \n",
- "330 1.0 8.0 22.0 \n",
- "346 14.0 31.0 78.0 \n",
- "360 2.0 18.0 27.0 \n",
- "373 27.0 55.0 94.0 \n",
- "387 19.0 32.0 81.0 \n",
- "402 5.0 13.0 42.0 \n",
- "416 6.0 16.0 89.0 \n",
- "430 17.0 43.0 57.0 \n",
- "444 20.0 57.0 170.0 \n",
- "458 7.0 32.0 111.0 \n",
- "471 3.0 10.0 78.0 \n",
- "483 6.0 13.0 47.0 \n",
- "499 13.0 52.0 70.0 \n",
- "513 11.0 46.0 95.0 \n",
- "529 15.0 47.0 85.0 \n",
- "544 11.0 31.0 70.0 \n",
- "557 27.0 72.0 84.0 \n",
- "571 11.0 34.0 88.0 \n",
- "584 11.0 31.0 63.0 \n",
- "598 16.0 41.0 53.0 \n",
- "614 2.0 12.0 32.0 \n",
- "629 14.0 31.0 78.0 \n",
- "645 5.0 19.0 61.0 \n",
- "657 27.0 55.0 94.0 \n",
- "672 19.0 32.0 81.0 \n",
- "687 5.0 13.0 42.0 \n",
- "701 6.0 16.0 89.0 \n",
- "715 17.0 43.0 57.0 \n",
- "731 20.0 57.0 170.0 \n",
- "746 7.0 32.0 111.0 \n",
- "762 3.0 10.0 78.0 \n",
- "776 6.0 13.0 47.0 \n",
- "791 13.0 52.0 70.0 \n",
- "806 11.0 46.0 95.0 \n",
- "821 15.0 47.0 85.0 \n",
- "836 11.0 31.0 70.0 \n",
- "850 27.0 72.0 84.0 \n",
+ " gk_passes_completed_launched gk_passes_launched gk_passes \\\n",
+ "0 11.0 34.0 88.0 \n",
+ "16 17.0 45.0 106.0 \n",
+ "29 24.0 54.0 76.0 \n",
+ "44 4.0 20.0 37.0 \n",
+ "57 13.0 20.0 85.0 \n",
+ "... ... ... ... \n",
+ "1085 13.0 55.0 89.0 \n",
+ "1101 5.0 15.0 24.0 \n",
+ "1117 29.0 79.0 117.0 \n",
+ "1129 11.0 34.0 94.0 \n",
+ "1143 35.0 93.0 109.0 \n",
"\n",
- " gk_passes_throws gk_goal_kicks gk_crosses gk_crosses_stopped \n",
- "0 18.0 18.0 28.0 2.0 \n",
- "16 14.0 19.0 45.0 2.0 \n",
- "29 14.0 28.0 49.0 2.0 \n",
- "44 9.0 4.0 10.0 2.0 \n",
- "57 3.0 4.0 11.0 0.0 \n",
- "69 17.0 10.0 25.0 2.0 \n",
- "84 9.0 14.0 64.0 8.0 \n",
- "98 12.0 21.0 35.0 1.0 \n",
- "112 6.0 3.0 16.0 1.0 \n",
- "127 11.0 11.0 39.0 2.0 \n",
- "142 14.0 24.0 32.0 2.0 \n",
- "158 23.0 20.0 43.0 12.0 \n",
- "173 16.0 22.0 45.0 2.0 \n",
- "188 7.0 8.0 15.0 1.0 \n",
- "202 6.0 12.0 15.0 0.0 \n",
- "217 12.0 31.0 51.0 3.0 \n",
- "229 10.0 34.0 46.0 2.0 \n",
- "242 19.0 29.0 23.0 0.0 \n",
- "257 10.0 21.0 33.0 0.0 \n",
- "273 7.0 28.0 44.0 1.0 \n",
- "287 18.0 18.0 28.0 2.0 \n",
- "302 14.0 19.0 45.0 2.0 \n",
- "316 14.0 28.0 49.0 2.0 \n",
- "330 8.0 12.0 18.0 0.0 \n",
- "346 7.0 8.0 15.0 0.0 \n",
- "360 2.0 5.0 18.0 0.0 \n",
- "373 9.0 14.0 64.0 8.0 \n",
- "387 12.0 21.0 35.0 1.0 \n",
- "402 9.0 11.0 26.0 2.0 \n",
- "416 11.0 11.0 39.0 2.0 \n",
- "430 14.0 24.0 32.0 2.0 \n",
- "444 23.0 20.0 43.0 12.0 \n",
- "458 16.0 22.0 45.0 2.0 \n",
- "471 7.0 8.0 15.0 1.0 \n",
- "483 6.0 12.0 15.0 0.0 \n",
- "499 12.0 31.0 51.0 3.0 \n",
- "513 10.0 34.0 46.0 2.0 \n",
- "529 19.0 29.0 23.0 0.0 \n",
- "544 10.0 21.0 33.0 0.0 \n",
- "557 7.0 28.0 44.0 1.0 \n",
- "571 18.0 18.0 28.0 2.0 \n",
- "584 14.0 19.0 45.0 2.0 \n",
- "598 14.0 28.0 49.0 2.0 \n",
- "614 8.0 7.0 17.0 0.0 \n",
- "629 7.0 8.0 15.0 0.0 \n",
- "645 17.0 10.0 25.0 2.0 \n",
- "657 9.0 14.0 64.0 8.0 \n",
- "672 12.0 21.0 35.0 1.0 \n",
- "687 9.0 11.0 26.0 2.0 \n",
- "701 11.0 11.0 39.0 2.0 \n",
- "715 14.0 24.0 32.0 2.0 \n",
- "731 23.0 20.0 43.0 12.0 \n",
- "746 16.0 22.0 45.0 2.0 \n",
- "762 7.0 8.0 15.0 1.0 \n",
- "776 6.0 12.0 15.0 0.0 \n",
- "791 12.0 31.0 51.0 3.0 \n",
- "806 10.0 34.0 46.0 2.0 \n",
- "821 19.0 29.0 23.0 0.0 \n",
- "836 10.0 21.0 33.0 0.0 \n",
- "850 7.0 28.0 44.0 1.0 \n",
+ " gk_passes_throws gk_goal_kicks gk_crosses gk_crosses_stopped \n",
+ "0 18.0 18.0 28.0 2.0 \n",
+ "16 17.0 22.0 57.0 2.0 \n",
+ "29 18.0 40.0 62.0 4.0 \n",
+ "44 9.0 4.0 10.0 2.0 \n",
+ "57 10.0 9.0 16.0 1.0 \n",
+ "... ... ... ... ... \n",
+ "1085 14.0 35.0 63.0 4.0 \n",
+ "1101 3.0 9.0 9.0 0.0 \n",
+ "1117 23.0 36.0 33.0 3.0 \n",
+ "1129 14.0 32.0 49.0 0.0 \n",
+ "1143 8.0 35.0 54.0 1.0 \n",
"\n",
- "[60 rows x 102 columns]"
+ "[80 rows x 102 columns]"
]
},
- "execution_count": 39,
+ "execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
@@ -5721,7 +4319,7 @@
},
{
"cell_type": "code",
- "execution_count": 40,
+ "execution_count": 27,
"id": "d8b8b6da",
"metadata": {},
"outputs": [],
@@ -5731,7 +4329,7 @@
},
{
"cell_type": "code",
- "execution_count": 41,
+ "execution_count": 28,
"id": "54519b24",
"metadata": {},
"outputs": [
diff --git a/5_scraping_match_probable_players.ipynb b/5_scraping_match_probable_players.ipynb
index d8c1448..4d57e90 100644
--- a/5_scraping_match_probable_players.ipynb
+++ b/5_scraping_match_probable_players.ipynb
@@ -71,31 +71,31 @@
" \n",
" \n",
" 0 \n",
- " Szczesny \n",
+ " Ochoa \n",
+ " 1 \n",
+ " 90.0 \n",
+ " \n",
+ " \n",
+ " 1 \n",
+ " Lovato \n",
" 1 \n",
" 80.0 \n",
" \n",
" \n",
- " 1 \n",
- " Danilo \n",
- " 1 \n",
- " 90.0 \n",
- " \n",
- " \n",
" 2 \n",
- " Bremer \n",
+ " Gyomber \n",
" 1 \n",
- " 90.0 \n",
+ " 80.0 \n",
" \n",
" \n",
" 3 \n",
- " Gatti \n",
+ " Pirola \n",
" 1 \n",
- " 60.0 \n",
+ " 80.0 \n",
" \n",
" \n",
" 4 \n",
- " Weah \n",
+ " Mazzocchi \n",
" 1 \n",
" 80.0 \n",
" \n",
@@ -106,55 +106,55 @@
" ... \n",
" \n",
" \n",
- " 474 \n",
- " Fabbian \n",
+ " 471 \n",
+ " Pisilli \n",
+ " 0 \n",
+ " 10.0 \n",
+ " \n",
+ " \n",
+ " 472 \n",
+ " Aouar \n",
" 0 \n",
" 55.0 \n",
" \n",
" \n",
+ " 473 \n",
+ " El Shaarawy \n",
+ " 0 \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 474 \n",
+ " Belotti \n",
+ " 0 \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
" 475 \n",
- " Aebischer \n",
+ " Azmoun \n",
" 0 \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 476 \n",
- " El Azzouzi \n",
- " 0 \n",
- " 50.0 \n",
- " \n",
- " \n",
- " 477 \n",
- " Urbanski \n",
- " 0 \n",
- " 15.0 \n",
- " \n",
- " \n",
- " 478 \n",
- " Ndoye \n",
- " 0 \n",
- " 60.0 \n",
+ " 35.0 \n",
" \n",
" \n",
"\n",
- "479 rows × 3 columns
\n",
+ "476 rows × 3 columns
\n",
""
],
"text/plain": [
- " player starter percentage\n",
- "0 Szczesny 1 80.0\n",
- "1 Danilo 1 90.0\n",
- "2 Bremer 1 90.0\n",
- "3 Gatti 1 60.0\n",
- "4 Weah 1 80.0\n",
- ".. ... ... ...\n",
- "474 Fabbian 0 55.0\n",
- "475 Aebischer 0 60.0\n",
- "476 El Azzouzi 0 50.0\n",
- "477 Urbanski 0 15.0\n",
- "478 Ndoye 0 60.0\n",
+ " player starter percentage\n",
+ "0 Ochoa 1 90.0\n",
+ "1 Lovato 1 80.0\n",
+ "2 Gyomber 1 80.0\n",
+ "3 Pirola 1 80.0\n",
+ "4 Mazzocchi 1 80.0\n",
+ ".. ... ... ...\n",
+ "471 Pisilli 0 10.0\n",
+ "472 Aouar 0 55.0\n",
+ "473 El Shaarawy 0 55.0\n",
+ "474 Belotti 0 60.0\n",
+ "475 Azmoun 0 35.0\n",
"\n",
- "[479 rows x 3 columns]"
+ "[476 rows x 3 columns]"
]
},
"execution_count": 3,
@@ -235,242 +235,302 @@
" \n",
" \n",
" 0 \n",
+ " Ikwuemesi \n",
+ " Botheim \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 1 \n",
+ " Jovane \n",
+ " Kastanos \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 2 \n",
+ " Okoli \n",
+ " Monterisi \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 3 \n",
+ " Caso \n",
+ " Baez \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 4 \n",
+ " Vasquez \n",
+ " Martin \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 5 \n",
+ " Malinovskyi \n",
+ " De Winter \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 6 \n",
+ " Kjaer \n",
+ " Thiaw \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 7 \n",
+ " Rafael Leao \n",
+ " Chukwueze \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 8 \n",
+ " Giroud \n",
+ " Jovic \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 9 \n",
+ " Bonazzoli \n",
+ " Djuric \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 10 \n",
+ " Mboula \n",
+ " Folorunsho \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 11 \n",
+ " Tressoldi \n",
+ " Viti \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 12 \n",
+ " Vina \n",
+ " Pedersen \n",
+ " 65.0 \n",
+ " \n",
+ " \n",
+ " 13 \n",
+ " Bajrami \n",
+ " Thorstvedt \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 14 \n",
" Fagioli \n",
" Miretti \n",
" 60.0 \n",
" \n",
" \n",
- " 1 \n",
- " Kostic \n",
- " Cambiaso \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 2 \n",
- " Gatti \n",
- " Alex Sandro \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 3 \n",
- " Kamada \n",
- " Guendouzi \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 4 \n",
- " De Vrij \n",
- " Acerbi \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 5 \n",
- " Mkhitaryan \n",
- " Frattesi \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 6 \n",
- " Dumfries \n",
- " Cuadrado \n",
- " 65.0 \n",
- " \n",
- " \n",
- " 7 \n",
- " Giroud \n",
- " Okafor \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 8 \n",
- " Krunic \n",
- " Musah \n",
- " 65.0 \n",
- " \n",
- " \n",
- " 9 \n",
- " Badelj \n",
- " Thorsby \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 10 \n",
- " Sabelli \n",
- " Martin \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 11 \n",
- " Politano \n",
- " Raspadori \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 12 \n",
- " Olivera \n",
- " Mario Rui \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 13 \n",
- " Luvumbo \n",
- " Oristanio \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 14 \n",
- " Petagna \n",
- " Shomurodov \n",
- " 55.0 \n",
- " \n",
- " \n",
" 15 \n",
- " Lucca \n",
- " Success \n",
- " 65.0 \n",
+ " Mckennie \n",
+ " Weah \n",
+ " 55.0 \n",
" \n",
" \n",
" 16 \n",
- " Ferreira J. \n",
- " Ebosele \n",
- " 55.0 \n",
+ " Zaccagni \n",
+ " Pedro \n",
+ " 60.0 \n",
" \n",
" \n",
" 17 \n",
- " Kamara H. \n",
- " Zemura \n",
+ " Romagnoli \n",
+ " Patric \n",
" 60.0 \n",
" \n",
" \n",
" 18 \n",
- " Soule' \n",
- " Baez \n",
- " 65.0 \n",
- " \n",
- " \n",
- " 19 \n",
- " Gelli \n",
- " Caso \n",
+ " Guendouzi \n",
+ " Kamada \n",
" 55.0 \n",
" \n",
" \n",
+ " 19 \n",
+ " Birindelli \n",
+ " Kyriakopoulos \n",
+ " 65.0 \n",
+ " \n",
+ " \n",
" 20 \n",
- " Thorstvedt \n",
- " Bajrami \n",
+ " Maleh \n",
+ " Bastoni S. \n",
" 55.0 \n",
" \n",
" \n",
" 21 \n",
- " Colombo \n",
- " Mota \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 22 \n",
- " Birindelli \n",
- " Kyriakopoulos \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 23 \n",
- " Kaba \n",
- " Gonzalez J. \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 24 \n",
- " Djimsiti \n",
- " Toloi \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 25 \n",
- " De Ketelaere \n",
- " Lookman \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 26 \n",
- " Ederson D.s. \n",
- " Pasalic \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 27 \n",
- " Dybala \n",
- " El Shaarawy \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 28 \n",
- " Kristensen \n",
- " Celik \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 29 \n",
- " Spinazzola \n",
- " Zalewski \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 30 \n",
" Fazzini \n",
" Grassi \n",
" 60.0 \n",
" \n",
" \n",
- " 31 \n",
- " Ebuehi \n",
+ " 22 \n",
" Bereszynski \n",
+ " Ebuehi \n",
" 60.0 \n",
" \n",
" \n",
+ " 23 \n",
+ " Thuram \n",
+ " Arnautovic \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 24 \n",
+ " Dimarco \n",
+ " Carlos Augusto \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 25 \n",
+ " Pavard \n",
+ " Darmian \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 26 \n",
+ " De Vrij \n",
+ " Acerbi \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 27 \n",
+ " Frattesi \n",
+ " Mkhitaryan \n",
+ " 65.0 \n",
+ " \n",
+ " \n",
+ " 28 \n",
+ " Zappacosta \n",
+ " Zortea \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 29 \n",
+ " Ruggeri \n",
+ " Bakker \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 30 \n",
+ " Toloi \n",
+ " Djimsiti \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 31 \n",
+ " Jankto \n",
+ " Deiola \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
" 32 \n",
- " Pezzella Giu. \n",
- " Cacace \n",
+ " Obert \n",
+ " Prati \n",
" 55.0 \n",
" \n",
" \n",
" 33 \n",
- " Botheim \n",
- " Dia \n",
- " 65.0 \n",
+ " Ebosele \n",
+ " Ferreira J. \n",
+ " 60.0 \n",
" \n",
" \n",
" 34 \n",
- " Ilic \n",
- " Linetty \n",
- " 65.0 \n",
+ " Kamara H. \n",
+ " Zemura \n",
+ " 60.0 \n",
" \n",
" \n",
" 35 \n",
- " Bellanova \n",
- " Lazaro \n",
- " 55.0 \n",
+ " Nzola \n",
+ " Beltran L. \n",
+ " 60.0 \n",
" \n",
" \n",
" 36 \n",
- " Lazovic \n",
- " Folorunsho \n",
+ " Mandragora \n",
+ " Duncan \n",
" 55.0 \n",
" \n",
" \n",
" 37 \n",
- " Mboula \n",
- " Bonazzoli \n",
- " 60.0 \n",
+ " Ranieri L. \n",
+ " Martinez Quarta \n",
+ " 55.0 \n",
" \n",
" \n",
" 38 \n",
- " Karlsson \n",
- " Ndoye \n",
- " 60.0 \n",
+ " Kouame' \n",
+ " Sottil \n",
+ " 55.0 \n",
" \n",
" \n",
" 39 \n",
- " Orsolini \n",
+ " Moro N. \n",
+ " Aebischer \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 40 \n",
" Ndoye \n",
+ " Orsolini \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 41 \n",
+ " Zielinski \n",
+ " Elmas \n",
+ " 65.0 \n",
+ " \n",
+ " \n",
+ " 42 \n",
+ " Juan Jesus \n",
+ " Natan \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 43 \n",
+ " Politano \n",
+ " Raspadori \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 44 \n",
+ " Mario Rui \n",
+ " Olivera \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 45 \n",
+ " Vlasic \n",
+ " Seck \n",
+ " 65.0 \n",
+ " \n",
+ " \n",
+ " 46 \n",
+ " Ilic \n",
+ " Tameze \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 47 \n",
+ " Paredes \n",
+ " Aouar \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 48 \n",
+ " Kristensen \n",
+ " Celik \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 49 \n",
+ " Spinazzola \n",
+ " Zalewski \n",
" 60.0 \n",
" \n",
" \n",
@@ -478,47 +538,57 @@
""
],
"text/plain": [
- " player1 player2 percentage\n",
- "0 Fagioli Miretti 60.0\n",
- "1 Kostic Cambiaso 55.0\n",
- "2 Gatti Alex Sandro 60.0\n",
- "3 Kamada Guendouzi 55.0\n",
- "4 De Vrij Acerbi 60.0\n",
- "5 Mkhitaryan Frattesi 55.0\n",
- "6 Dumfries Cuadrado 65.0\n",
- "7 Giroud Okafor 55.0\n",
- "8 Krunic Musah 65.0\n",
- "9 Badelj Thorsby 60.0\n",
- "10 Sabelli Martin 60.0\n",
- "11 Politano Raspadori 60.0\n",
- "12 Olivera Mario Rui 55.0\n",
- "13 Luvumbo Oristanio 60.0\n",
- "14 Petagna Shomurodov 55.0\n",
- "15 Lucca Success 65.0\n",
- "16 Ferreira J. Ebosele 55.0\n",
- "17 Kamara H. Zemura 60.0\n",
- "18 Soule' Baez 65.0\n",
- "19 Gelli Caso 55.0\n",
- "20 Thorstvedt Bajrami 55.0\n",
- "21 Colombo Mota 60.0\n",
- "22 Birindelli Kyriakopoulos 60.0\n",
- "23 Kaba Gonzalez J. 60.0\n",
- "24 Djimsiti Toloi 55.0\n",
- "25 De Ketelaere Lookman 60.0\n",
- "26 Ederson D.s. Pasalic 55.0\n",
- "27 Dybala El Shaarawy 60.0\n",
- "28 Kristensen Celik 55.0\n",
- "29 Spinazzola Zalewski 55.0\n",
- "30 Fazzini Grassi 60.0\n",
- "31 Ebuehi Bereszynski 60.0\n",
- "32 Pezzella Giu. Cacace 55.0\n",
- "33 Botheim Dia 65.0\n",
- "34 Ilic Linetty 65.0\n",
- "35 Bellanova Lazaro 55.0\n",
- "36 Lazovic Folorunsho 55.0\n",
- "37 Mboula Bonazzoli 60.0\n",
- "38 Karlsson Ndoye 60.0\n",
- "39 Orsolini Ndoye 60.0"
+ " player1 player2 percentage\n",
+ "0 Ikwuemesi Botheim 55.0\n",
+ "1 Jovane Kastanos 55.0\n",
+ "2 Okoli Monterisi 55.0\n",
+ "3 Caso Baez 55.0\n",
+ "4 Vasquez Martin 60.0\n",
+ "5 Malinovskyi De Winter 60.0\n",
+ "6 Kjaer Thiaw 60.0\n",
+ "7 Rafael Leao Chukwueze 60.0\n",
+ "8 Giroud Jovic 60.0\n",
+ "9 Bonazzoli Djuric 60.0\n",
+ "10 Mboula Folorunsho 55.0\n",
+ "11 Tressoldi Viti 60.0\n",
+ "12 Vina Pedersen 65.0\n",
+ "13 Bajrami Thorstvedt 60.0\n",
+ "14 Fagioli Miretti 60.0\n",
+ "15 Mckennie Weah 55.0\n",
+ "16 Zaccagni Pedro 60.0\n",
+ "17 Romagnoli Patric 60.0\n",
+ "18 Guendouzi Kamada 55.0\n",
+ "19 Birindelli Kyriakopoulos 65.0\n",
+ "20 Maleh Bastoni S. 55.0\n",
+ "21 Fazzini Grassi 60.0\n",
+ "22 Bereszynski Ebuehi 60.0\n",
+ "23 Thuram Arnautovic 60.0\n",
+ "24 Dimarco Carlos Augusto 55.0\n",
+ "25 Pavard Darmian 60.0\n",
+ "26 De Vrij Acerbi 60.0\n",
+ "27 Frattesi Mkhitaryan 65.0\n",
+ "28 Zappacosta Zortea 60.0\n",
+ "29 Ruggeri Bakker 60.0\n",
+ "30 Toloi Djimsiti 55.0\n",
+ "31 Jankto Deiola 55.0\n",
+ "32 Obert Prati 55.0\n",
+ "33 Ebosele Ferreira J. 60.0\n",
+ "34 Kamara H. Zemura 60.0\n",
+ "35 Nzola Beltran L. 60.0\n",
+ "36 Mandragora Duncan 55.0\n",
+ "37 Ranieri L. Martinez Quarta 55.0\n",
+ "38 Kouame' Sottil 55.0\n",
+ "39 Moro N. Aebischer 55.0\n",
+ "40 Ndoye Orsolini 55.0\n",
+ "41 Zielinski Elmas 65.0\n",
+ "42 Juan Jesus Natan 55.0\n",
+ "43 Politano Raspadori 60.0\n",
+ "44 Mario Rui Olivera 55.0\n",
+ "45 Vlasic Seck 65.0\n",
+ "46 Ilic Tameze 55.0\n",
+ "47 Paredes Aouar 60.0\n",
+ "48 Kristensen Celik 60.0\n",
+ "49 Spinazzola Zalewski 60.0"
]
},
"execution_count": 5,
@@ -583,27 +653,27 @@
" \n",
" \n",
" \n",
- " Szczesny \n",
+ " Ochoa \n",
+ " 1 \n",
+ " 90.0 \n",
+ " \n",
+ " \n",
+ " Lovato \n",
" 1 \n",
" 80.0 \n",
" \n",
" \n",
- " Danilo \n",
+ " Gyomber \n",
" 1 \n",
- " 90.0 \n",
+ " 80.0 \n",
" \n",
" \n",
- " Bremer \n",
+ " Pirola \n",
" 1 \n",
- " 90.0 \n",
+ " 80.0 \n",
" \n",
" \n",
- " Gatti \n",
- " 0.6 \n",
- " 60.0 \n",
- " \n",
- " \n",
- " Weah \n",
+ " Mazzocchi \n",
" 1 \n",
" 80.0 \n",
" \n",
@@ -613,51 +683,51 @@
" ... \n",
" \n",
" \n",
- " Fabbian \n",
+ " Pisilli \n",
+ " 0 \n",
+ " 10.0 \n",
+ " \n",
+ " \n",
+ " Aouar \n",
+ " 0.4 \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " El Shaarawy \n",
" 0 \n",
" 55.0 \n",
" \n",
" \n",
- " Aebischer \n",
+ " Belotti \n",
" 0 \n",
" 60.0 \n",
" \n",
" \n",
- " El Azzouzi \n",
+ " Azmoun \n",
" 0 \n",
- " 50.0 \n",
- " \n",
- " \n",
- " Urbanski \n",
- " 0 \n",
- " 15.0 \n",
- " \n",
- " \n",
- " Ndoye \n",
- " 0.4 \n",
- " 60.0 \n",
+ " 35.0 \n",
" \n",
" \n",
"\n",
- "479 rows × 2 columns
\n",
+ "476 rows × 2 columns
\n",
""
],
"text/plain": [
- " starter percentage\n",
- "player \n",
- "Szczesny 1 80.0\n",
- "Danilo 1 90.0\n",
- "Bremer 1 90.0\n",
- "Gatti 0.6 60.0\n",
- "Weah 1 80.0\n",
- "... ... ...\n",
- "Fabbian 0 55.0\n",
- "Aebischer 0 60.0\n",
- "El Azzouzi 0 50.0\n",
- "Urbanski 0 15.0\n",
- "Ndoye 0.4 60.0\n",
+ " starter percentage\n",
+ "player \n",
+ "Ochoa 1 90.0\n",
+ "Lovato 1 80.0\n",
+ "Gyomber 1 80.0\n",
+ "Pirola 1 80.0\n",
+ "Mazzocchi 1 80.0\n",
+ "... ... ...\n",
+ "Pisilli 0 10.0\n",
+ "Aouar 0.4 55.0\n",
+ "El Shaarawy 0 55.0\n",
+ "Belotti 0 60.0\n",
+ "Azmoun 0 35.0\n",
"\n",
- "[479 rows x 2 columns]"
+ "[476 rows x 2 columns]"
]
},
"execution_count": 6,
diff --git a/6_neural_network_training_and_prediction.ipynb b/6_neural_network_training_and_prediction.ipynb
index 2851817..78f7992 100644
--- a/6_neural_network_training_and_prediction.ipynb
+++ b/6_neural_network_training_and_prediction.ipynb
@@ -10,7 +10,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 1,
"id": "210da263",
"metadata": {},
"outputs": [],
@@ -28,7 +28,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 2,
"id": "edbf3b27",
"metadata": {},
"outputs": [],
@@ -59,7 +59,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 3,
"id": "fa098fa4",
"metadata": {},
"outputs": [],
@@ -72,7 +72,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 4,
"id": "f71fa9a4",
"metadata": {},
"outputs": [
@@ -134,16 +134,16 @@
" 0.0 \n",
" 6.5 \n",
" ... \n",
- " 0.026316 \n",
- " 0.015789 \n",
- " 0.010526 \n",
- " 0.021053 \n",
- " 0.005263 \n",
- " 0.021053 \n",
- " 0.394737 \n",
- " 0.047368 \n",
- " 0.026316 \n",
- " 0.015789 \n",
+ " 0.020161 \n",
+ " 0.012097 \n",
+ " 0.012097 \n",
+ " 0.016129 \n",
+ " 0.008065 \n",
+ " 0.016129 \n",
+ " 0.391129 \n",
+ " 0.040323 \n",
+ " 0.020161 \n",
+ " 0.012097 \n",
" \n",
" \n",
" 1 \n",
@@ -182,16 +182,16 @@
" 0.0 \n",
" 6.5 \n",
" ... \n",
- " 0.003717 \n",
- " 0.003717 \n",
- " 0.000000 \n",
- " 0.011152 \n",
- " 0.011152 \n",
- " 0.018587 \n",
- " 0.457249 \n",
- " 0.022305 \n",
- " 0.033457 \n",
- " 0.003717 \n",
+ " 0.002786 \n",
+ " 0.002786 \n",
+ " 0.002786 \n",
+ " 0.011142 \n",
+ " 0.013928 \n",
+ " 0.022284 \n",
+ " 0.412256 \n",
+ " 0.019499 \n",
+ " 0.025070 \n",
+ " 0.002786 \n",
" \n",
" \n",
" 3 \n",
@@ -207,15 +207,15 @@
" 10.0 \n",
" ... \n",
" 0.000000 \n",
- " 0.015625 \n",
- " 0.015625 \n",
+ " 0.020833 \n",
+ " 0.031250 \n",
" 0.000000 \n",
" 0.000000 \n",
- " 0.015625 \n",
- " 0.515625 \n",
+ " 0.010417 \n",
+ " 0.447917 \n",
" 0.062500 \n",
- " 0.046875 \n",
- " 0.015625 \n",
+ " 0.041667 \n",
+ " 0.010417 \n",
" \n",
" \n",
" 4 \n",
@@ -230,16 +230,16 @@
" 0.0 \n",
" 7.5 \n",
" ... \n",
- " 0.012295 \n",
- " 0.004098 \n",
- " 0.016393 \n",
- " 0.000000 \n",
- " 0.004098 \n",
- " 0.024590 \n",
- " 0.434426 \n",
- " 0.016393 \n",
- " 0.016393 \n",
- " 0.004098 \n",
+ " 0.012384 \n",
+ " 0.003096 \n",
+ " 0.012384 \n",
+ " 0.006192 \n",
+ " 0.003096 \n",
+ " 0.027864 \n",
+ " 0.408669 \n",
+ " 0.015480 \n",
+ " 0.012384 \n",
+ " 0.003096 \n",
" \n",
" \n",
" ... \n",
@@ -266,7 +266,7 @@
" ... \n",
" \n",
" \n",
- " 29789 \n",
+ " 30064 \n",
" 38 \n",
" Miguel Veloso \n",
" Verona \n",
@@ -290,7 +290,7 @@
" 0.000860 \n",
" \n",
" \n",
- " 29790 \n",
+ " 30065 \n",
" 38 \n",
" Tameze \n",
" Verona \n",
@@ -314,7 +314,7 @@
" 0.001320 \n",
" \n",
" \n",
- " 29791 \n",
+ " 30066 \n",
" 38 \n",
" Sulemana I. \n",
" Verona \n",
@@ -338,7 +338,7 @@
" 0.000000 \n",
" \n",
" \n",
- " 29792 \n",
+ " 30067 \n",
" 38 \n",
" Djuric \n",
" Verona \n",
@@ -362,7 +362,7 @@
" 0.002196 \n",
" \n",
" \n",
- " 29793 \n",
+ " 30068 \n",
" 38 \n",
" Ngonge \n",
" Verona \n",
@@ -387,7 +387,7 @@
" \n",
" \n",
"\n",
- "29794 rows × 122 columns
\n",
+ "30069 rows × 122 columns
\n",
""
],
"text/plain": [
@@ -398,68 +398,68 @@
"3 1 Zortea Atalanta Sassuolo 0 7.0 1 \n",
"4 1 Ruggeri Atalanta Sassuolo 0 6.5 0 \n",
"... ... ... ... ... ... ... ... \n",
- "29789 38 Miguel Veloso Verona Milan 0 5.5 0 \n",
- "29790 38 Tameze Verona Milan 0 5.5 0 \n",
- "29791 38 Sulemana I. Verona Milan 0 6.0 0 \n",
- "29792 38 Djuric Verona Milan 0 5.5 0 \n",
- "29793 38 Ngonge Verona Milan 0 5.5 0 \n",
+ "30064 38 Miguel Veloso Verona Milan 0 5.5 0 \n",
+ "30065 38 Tameze Verona Milan 0 5.5 0 \n",
+ "30066 38 Sulemana I. Verona Milan 0 6.0 0 \n",
+ "30067 38 Djuric Verona Milan 0 5.5 0 \n",
+ "30068 38 Ngonge Verona Milan 0 5.5 0 \n",
"\n",
" assists cards_malus fantavote ... miscontrols dispossessed \\\n",
- "0 0 0.0 6.5 ... 0.026316 0.015789 \n",
+ "0 0 0.0 6.5 ... 0.020161 0.012097 \n",
"1 0 0.0 6.0 ... 0.007874 0.000000 \n",
- "2 0 0.0 6.5 ... 0.003717 0.003717 \n",
- "3 0 0.0 10.0 ... 0.000000 0.015625 \n",
- "4 1 0.0 7.5 ... 0.012295 0.004098 \n",
+ "2 0 0.0 6.5 ... 0.002786 0.002786 \n",
+ "3 0 0.0 10.0 ... 0.000000 0.020833 \n",
+ "4 1 0.0 7.5 ... 0.012384 0.003096 \n",
"... ... ... ... ... ... ... \n",
- "29789 0 0.0 5.5 ... 0.006019 0.006019 \n",
- "29790 0 0.0 5.5 ... 0.012867 0.011217 \n",
- "29791 0 0.5 5.5 ... 0.015361 0.013825 \n",
- "29792 0 0.0 5.5 ... 0.019034 0.010981 \n",
- "29793 0 0.0 5.5 ... 0.030872 0.016107 \n",
+ "30064 0 0.0 5.5 ... 0.006019 0.006019 \n",
+ "30065 0 0.0 5.5 ... 0.012867 0.011217 \n",
+ "30066 0 0.5 5.5 ... 0.015361 0.013825 \n",
+ "30067 0 0.0 5.5 ... 0.019034 0.010981 \n",
+ "30068 0 0.0 5.5 ... 0.030872 0.016107 \n",
"\n",
" fouls fouled aerials_won aerials_lost carries \\\n",
- "0 0.010526 0.021053 0.005263 0.021053 0.394737 \n",
+ "0 0.012097 0.016129 0.008065 0.016129 0.391129 \n",
"1 0.007874 0.000000 0.019685 0.027559 0.350394 \n",
- "2 0.000000 0.011152 0.011152 0.018587 0.457249 \n",
- "3 0.015625 0.000000 0.000000 0.015625 0.515625 \n",
- "4 0.016393 0.000000 0.004098 0.024590 0.434426 \n",
+ "2 0.002786 0.011142 0.013928 0.022284 0.412256 \n",
+ "3 0.031250 0.000000 0.000000 0.010417 0.447917 \n",
+ "4 0.012384 0.006192 0.003096 0.027864 0.408669 \n",
"... ... ... ... ... ... \n",
- "29789 0.017197 0.006879 0.012038 0.012038 0.265692 \n",
- "29790 0.010558 0.010228 0.008908 0.010228 0.235236 \n",
- "29791 0.016897 0.004608 0.015361 0.018433 0.201229 \n",
- "29792 0.017570 0.021230 0.144217 0.041728 0.191801 \n",
- "29793 0.017450 0.014765 0.022819 0.046980 0.242953 \n",
+ "30064 0.017197 0.006879 0.012038 0.012038 0.265692 \n",
+ "30065 0.010558 0.010228 0.008908 0.010228 0.235236 \n",
+ "30066 0.016897 0.004608 0.015361 0.018433 0.201229 \n",
+ "30067 0.017570 0.021230 0.144217 0.041728 0.191801 \n",
+ "30068 0.017450 0.014765 0.022819 0.046980 0.242953 \n",
"\n",
" progressive_carries carries_into_final_third \\\n",
- "0 0.047368 0.026316 \n",
+ "0 0.040323 0.020161 \n",
"1 0.000000 0.000000 \n",
- "2 0.022305 0.033457 \n",
- "3 0.062500 0.046875 \n",
- "4 0.016393 0.016393 \n",
+ "2 0.019499 0.025070 \n",
+ "3 0.062500 0.041667 \n",
+ "4 0.015480 0.012384 \n",
"... ... ... \n",
- "29789 0.014617 0.011178 \n",
- "29790 0.010558 0.011217 \n",
- "29791 0.006144 0.010753 \n",
- "29792 0.001464 0.003660 \n",
- "29793 0.024161 0.014765 \n",
+ "30064 0.014617 0.011178 \n",
+ "30065 0.010558 0.011217 \n",
+ "30066 0.006144 0.010753 \n",
+ "30067 0.001464 0.003660 \n",
+ "30068 0.024161 0.014765 \n",
"\n",
" carries_into_penalty_area \n",
- "0 0.015789 \n",
+ "0 0.012097 \n",
"1 0.000000 \n",
- "2 0.003717 \n",
- "3 0.015625 \n",
- "4 0.004098 \n",
+ "2 0.002786 \n",
+ "3 0.010417 \n",
+ "4 0.003096 \n",
"... ... \n",
- "29789 0.000860 \n",
- "29790 0.001320 \n",
- "29791 0.000000 \n",
- "29792 0.002196 \n",
- "29793 0.012081 \n",
+ "30064 0.000860 \n",
+ "30065 0.001320 \n",
+ "30066 0.000000 \n",
+ "30067 0.002196 \n",
+ "30068 0.012081 \n",
"\n",
- "[29794 rows x 122 columns]"
+ "[30069 rows x 122 columns]"
]
},
- "execution_count": 6,
+ "execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
@@ -472,7 +472,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 5,
"id": "1d024554",
"metadata": {},
"outputs": [
@@ -558,15 +558,15 @@
" 0.0 \n",
" 4.0 \n",
" ... \n",
- " 3.000000 \n",
- " 0.330000 \n",
- " -1.000000 \n",
- " 11.000000 \n",
- " 31.000000 \n",
- " 63.000000 \n",
- " 14.000000 \n",
- " 19.000000 \n",
+ " 3.200000 \n",
+ " 0.320000 \n",
+ " -0.800000 \n",
+ " 17.000000 \n",
" 45.000000 \n",
+ " 106.000000 \n",
+ " 17.000000 \n",
+ " 22.000000 \n",
+ " 57.000000 \n",
" 2.000000 \n",
" \n",
" \n",
@@ -582,16 +582,16 @@
" 0.0 \n",
" 6.5 \n",
" ... \n",
+ " 4.100000 \n",
+ " 0.330000 \n",
+ " 0.100000 \n",
+ " 24.000000 \n",
+ " 54.000000 \n",
+ " 76.000000 \n",
+ " 18.000000 \n",
+ " 40.000000 \n",
+ " 62.000000 \n",
" 4.000000 \n",
- " 0.340000 \n",
- " 0.000000 \n",
- " 16.000000 \n",
- " 41.000000 \n",
- " 53.000000 \n",
- " 14.000000 \n",
- " 28.000000 \n",
- " 49.000000 \n",
- " 2.000000 \n",
" \n",
" \n",
" 3 \n",
@@ -630,16 +630,16 @@
" 0.0 \n",
" 5.0 \n",
" ... \n",
- " 0.300000 \n",
- " 0.130000 \n",
- " -0.700000 \n",
- " 3.000000 \n",
- " 5.000000 \n",
- " 47.000000 \n",
- " 3.000000 \n",
- " 4.000000 \n",
- " 11.000000 \n",
- " 0.000000 \n",
+ " 1.000000 \n",
+ " 0.170000 \n",
+ " -2.000000 \n",
+ " 13.000000 \n",
+ " 20.000000 \n",
+ " 85.000000 \n",
+ " 10.000000 \n",
+ " 9.000000 \n",
+ " 16.000000 \n",
+ " 1.000000 \n",
" \n",
" \n",
" ... \n",
@@ -666,7 +666,7 @@
" ... \n",
" \n",
" \n",
- " 2344 \n",
+ " 2364 \n",
" 38 \n",
" Russo A. \n",
" Sassuolo \n",
@@ -690,7 +690,7 @@
" 23.333333 \n",
" \n",
" \n",
- " 2345 \n",
+ " 2365 \n",
" 38 \n",
" Zoet \n",
" Spezia \n",
@@ -714,7 +714,7 @@
" 5.500000 \n",
" \n",
" \n",
- " 2346 \n",
+ " 2366 \n",
" 38 \n",
" Milinkovic-Savic V. \n",
" Torino \n",
@@ -738,7 +738,7 @@
" 36.000000 \n",
" \n",
" \n",
- " 2347 \n",
+ " 2367 \n",
" 38 \n",
" Silvestri \n",
" Udinese \n",
@@ -762,7 +762,7 @@
" 13.000000 \n",
" \n",
" \n",
- " 2348 \n",
+ " 2368 \n",
" 38 \n",
" Montipo' \n",
" Verona \n",
@@ -787,7 +787,7 @@
" \n",
" \n",
"\n",
- "2349 rows × 102 columns
\n",
+ "2369 rows × 102 columns
\n",
""
],
"text/plain": [
@@ -798,68 +798,68 @@
"3 1 Caprile Empoli Verona 1 5.0 \n",
"4 1 Terracciano Fiorentina Genoa 0 6.0 \n",
"... ... ... ... ... ... ... \n",
- "2344 38 Russo A. Sassuolo Fiorentina 1 5.0 \n",
- "2345 38 Zoet Spezia Roma 0 5.5 \n",
- "2346 38 Milinkovic-Savic V. Torino Inter 1 5.0 \n",
- "2347 38 Silvestri Udinese Juventus 1 6.5 \n",
- "2348 38 Montipo' Verona Milan 0 6.0 \n",
+ "2364 38 Russo A. Sassuolo Fiorentina 1 5.0 \n",
+ "2365 38 Zoet Spezia Roma 0 5.5 \n",
+ "2366 38 Milinkovic-Savic V. Torino Inter 1 5.0 \n",
+ "2367 38 Silvestri Udinese Juventus 1 6.5 \n",
+ "2368 38 Montipo' Verona Milan 0 6.0 \n",
"\n",
" goals assists cards_malus fantavote ... gk_psxg \\\n",
"0 0 0 0.0 6.5 ... 2.100000 \n",
- "1 -2 0 0.0 4.0 ... 3.000000 \n",
- "2 0 0 0.0 6.5 ... 4.000000 \n",
+ "1 -2 0 0.0 4.0 ... 3.200000 \n",
+ "2 0 0 0.0 6.5 ... 4.100000 \n",
"3 -1 0 0.0 4.0 ... 0.400000 \n",
- "4 -1 0 0.0 5.0 ... 0.300000 \n",
+ "4 -1 0 0.0 5.0 ... 1.000000 \n",
"... ... ... ... ... ... ... \n",
- "2344 -3 0 0.0 2.0 ... 32.550000 \n",
- "2345 -2 0 0.5 3.0 ... 10.016667 \n",
- "2346 -1 0 0.0 4.0 ... 35.800000 \n",
- "2347 -1 0 0.0 5.5 ... 48.700000 \n",
- "2348 -3 0 0.0 3.0 ... 49.600000 \n",
+ "2364 -3 0 0.0 2.0 ... 32.550000 \n",
+ "2365 -2 0 0.5 3.0 ... 10.016667 \n",
+ "2366 -1 0 0.0 4.0 ... 35.800000 \n",
+ "2367 -1 0 0.0 5.5 ... 48.700000 \n",
+ "2368 -3 0 0.0 3.0 ... 49.600000 \n",
"\n",
" gk_psnpxg_per_shot_on_target_against gk_psxg_net \\\n",
"0 0.210000 0.100000 \n",
- "1 0.330000 -1.000000 \n",
- "2 0.340000 0.000000 \n",
+ "1 0.320000 -0.800000 \n",
+ "2 0.330000 0.100000 \n",
"3 0.110000 -0.600000 \n",
- "4 0.130000 -0.700000 \n",
+ "4 0.170000 -2.000000 \n",
"... ... ... \n",
- "2344 0.325000 -12.116667 \n",
- "2345 0.158333 -1.816667 \n",
- "2346 0.230000 -5.200000 \n",
- "2347 0.310000 2.700000 \n",
- "2348 0.270000 -6.400000 \n",
+ "2364 0.325000 -12.116667 \n",
+ "2365 0.158333 -1.816667 \n",
+ "2366 0.230000 -5.200000 \n",
+ "2367 0.310000 2.700000 \n",
+ "2368 0.270000 -6.400000 \n",
"\n",
" gk_passes_completed_launched gk_passes_launched gk_passes \\\n",
"0 11.000000 34.000000 88.000000 \n",
- "1 11.000000 31.000000 63.000000 \n",
- "2 16.000000 41.000000 53.000000 \n",
+ "1 17.000000 45.000000 106.000000 \n",
+ "2 24.000000 54.000000 76.000000 \n",
"3 4.000000 20.000000 37.000000 \n",
- "4 3.000000 5.000000 47.000000 \n",
+ "4 13.000000 20.000000 85.000000 \n",
"... ... ... ... \n",
- "2344 146.666667 365.333333 957.000000 \n",
- "2345 46.000000 145.333333 254.166667 \n",
- "2346 285.000000 939.000000 1506.000000 \n",
- "2347 144.000000 380.000000 872.000000 \n",
- "2348 360.000000 775.000000 905.000000 \n",
+ "2364 146.666667 365.333333 957.000000 \n",
+ "2365 46.000000 145.333333 254.166667 \n",
+ "2366 285.000000 939.000000 1506.000000 \n",
+ "2367 144.000000 380.000000 872.000000 \n",
+ "2368 360.000000 775.000000 905.000000 \n",
"\n",
" gk_passes_throws gk_goal_kicks gk_crosses gk_crosses_stopped \n",
"0 18.000000 18.000000 28.000000 2.000000 \n",
- "1 14.000000 19.000000 45.000000 2.000000 \n",
- "2 14.000000 28.000000 49.000000 2.000000 \n",
+ "1 17.000000 22.000000 57.000000 2.000000 \n",
+ "2 18.000000 40.000000 62.000000 4.000000 \n",
"3 9.000000 4.000000 10.000000 2.000000 \n",
- "4 3.000000 4.000000 11.000000 0.000000 \n",
+ "4 10.000000 9.000000 16.000000 1.000000 \n",
"... ... ... ... ... \n",
- "2344 156.166667 238.833333 391.500000 23.333333 \n",
- "2345 37.333333 51.833333 130.333333 5.500000 \n",
- "2346 185.000000 286.000000 469.000000 36.000000 \n",
- "2347 142.000000 302.000000 547.000000 13.000000 \n",
- "2348 124.000000 284.000000 496.000000 26.000000 \n",
+ "2364 156.166667 238.833333 391.500000 23.333333 \n",
+ "2365 37.333333 51.833333 130.333333 5.500000 \n",
+ "2366 185.000000 286.000000 469.000000 36.000000 \n",
+ "2367 142.000000 302.000000 547.000000 13.000000 \n",
+ "2368 124.000000 284.000000 496.000000 26.000000 \n",
"\n",
- "[2349 rows x 102 columns]"
+ "[2369 rows x 102 columns]"
]
},
- "execution_count": 7,
+ "execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
@@ -885,7 +885,7 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 6,
"id": "bc9dae87",
"metadata": {},
"outputs": [],
@@ -910,7 +910,7 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 7,
"id": "493b0495",
"metadata": {},
"outputs": [
@@ -918,7 +918,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_11684\\661405348.py:3: FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 'numeric_only=None') is deprecated; in a future version this will raise TypeError. Select only valid columns before calling the reduction.\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_5452\\661405348.py:3: FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 'numeric_only=None') is deprecated; in a future version this will raise TypeError. Select only valid columns before calling the reduction.\n",
" avg_row = pd.DataFrame(index = ['Avg'], data = [team_data.mean()], columns = team_data.columns)\n"
]
},
@@ -970,506 +970,506 @@
" \n",
" Atalanta \n",
" Atalanta \n",
- " 20.00 \n",
- " 51.700 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 6.00 \n",
- " 6.00 \n",
+ " 23.00 \n",
+ " 49.500 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 8.00 \n",
+ " 8.00 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 28.00 \n",
- " 33.00 \n",
- " 2.00 \n",
+ " 36.0 \n",
+ " 47.0 \n",
+ " 2.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
" 0.00 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 157.00 \n",
- " 44.0 \n",
- " 42.0 \n",
- " 51.20 \n",
+ " 212.00 \n",
+ " 65.0 \n",
+ " 60.0 \n",
+ " 52.00 \n",
" \n",
" \n",
" Bologna \n",
" Bologna \n",
- " 20.00 \n",
- " 55.300 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 22.00 \n",
+ " 56.500 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 3.00 \n",
" 2.00 \n",
" 0.00 \n",
" 1.0 \n",
" ... \n",
- " 32.00 \n",
- " 30.00 \n",
- " 7.00 \n",
- " 0.00 \n",
- " 1.0 \n",
+ " 50.0 \n",
+ " 40.0 \n",
+ " 12.0 \n",
" 0.0 \n",
- " 157.00 \n",
- " 23.0 \n",
- " 29.0 \n",
- " 44.20 \n",
+ " 1.0 \n",
+ " 0.00 \n",
+ " 207.00 \n",
+ " 34.0 \n",
+ " 46.0 \n",
+ " 42.50 \n",
" \n",
" \n",
" Cagliari \n",
" Cagliari \n",
- " 19.00 \n",
- " 35.000 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 21.00 \n",
+ " 37.800 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 1.00 \n",
" 1.00 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 27.00 \n",
- " 29.00 \n",
- " 4.00 \n",
+ " 38.0 \n",
+ " 41.0 \n",
+ " 5.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
" 0.00 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 165.00 \n",
- " 44.0 \n",
- " 37.0 \n",
- " 54.30 \n",
+ " 220.00 \n",
+ " 60.0 \n",
+ " 51.0 \n",
+ " 54.10 \n",
" \n",
" \n",
" Empoli \n",
" Empoli \n",
- " 26.00 \n",
- " 48.000 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 27.00 \n",
+ " 47.800 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 0.00 \n",
" 0.00 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 45.00 \n",
- " 38.00 \n",
- " 6.00 \n",
- " 1.00 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 152.00 \n",
+ " 60.0 \n",
" 42.0 \n",
- " 30.0 \n",
- " 58.30 \n",
+ " 8.0 \n",
+ " 1.0 \n",
+ " 0.0 \n",
+ " 0.00 \n",
+ " 203.00 \n",
+ " 54.0 \n",
+ " 39.0 \n",
+ " 58.10 \n",
" \n",
" \n",
" Fiorentina \n",
" Fiorentina \n",
- " 21.00 \n",
- " 62.300 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 6.00 \n",
- " 5.00 \n",
+ " 22.00 \n",
+ " 61.000 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 9.00 \n",
+ " 7.00 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 42.00 \n",
- " 36.00 \n",
- " 3.00 \n",
- " 1.00 \n",
+ " 56.0 \n",
+ " 43.0 \n",
+ " 5.0 \n",
+ " 1.0 \n",
" 0.0 \n",
- " 0.0 \n",
- " 142.00 \n",
- " 38.0 \n",
- " 32.0 \n",
- " 54.30 \n",
+ " 0.00 \n",
+ " 202.00 \n",
+ " 56.0 \n",
+ " 53.0 \n",
+ " 51.40 \n",
" \n",
" \n",
" Frosinone \n",
" Frosinone \n",
- " 21.00 \n",
- " 46.000 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 3.00 \n",
- " 2.00 \n",
- " 1.00 \n",
- " 1.0 \n",
- " ... \n",
- " 41.00 \n",
- " 31.00 \n",
+ " 23.00 \n",
+ " 48.300 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 7.00 \n",
" 4.00 \n",
- " 0.00 \n",
- " 1.0 \n",
+ " 2.00 \n",
+ " 2.0 \n",
+ " ... \n",
+ " 50.0 \n",
+ " 39.0 \n",
+ " 6.0 \n",
" 0.0 \n",
- " 168.00 \n",
- " 46.0 \n",
- " 42.0 \n",
- " 52.30 \n",
+ " 2.0 \n",
+ " 0.00 \n",
+ " 212.00 \n",
+ " 53.0 \n",
+ " 52.0 \n",
+ " 50.50 \n",
" \n",
" \n",
" Genoa \n",
" Genoa \n",
- " 18.00 \n",
- " 33.000 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 2.00 \n",
- " 1.00 \n",
+ " 19.00 \n",
+ " 33.300 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 4.00 \n",
+ " 3.00 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 35.00 \n",
- " 31.00 \n",
- " 6.00 \n",
+ " 43.0 \n",
+ " 43.0 \n",
+ " 9.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
" 0.00 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 148.00 \n",
- " 32.0 \n",
- " 44.0 \n",
- " 42.10 \n",
+ " 200.00 \n",
+ " 46.0 \n",
+ " 60.0 \n",
+ " 43.40 \n",
" \n",
" \n",
" Verona \n",
" Hellas Verona \n",
- " 19.00 \n",
- " 44.700 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 21.00 \n",
+ " 43.500 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 4.00 \n",
" 2.00 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 37.00 \n",
- " 47.00 \n",
- " 6.00 \n",
- " 1.00 \n",
+ " 47.0 \n",
+ " 63.0 \n",
+ " 7.0 \n",
+ " 1.0 \n",
" 0.0 \n",
- " 0.0 \n",
- " 138.00 \n",
- " 54.0 \n",
+ " 0.00 \n",
+ " 190.00 \n",
" 71.0 \n",
- " 43.20 \n",
+ " 82.0 \n",
+ " 46.40 \n",
" \n",
" \n",
" Inter \n",
" Inter \n",
- " 18.00 \n",
- " 51.300 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 8.00 \n",
- " 7.00 \n",
- " 1.00 \n",
- " 1.0 \n",
+ " 19.00 \n",
+ " 48.800 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 13.00 \n",
+ " 11.00 \n",
+ " 2.00 \n",
+ " 2.0 \n",
" ... \n",
- " 34.00 \n",
- " 30.00 \n",
- " 3.00 \n",
- " 0.00 \n",
- " 1.0 \n",
+ " 47.0 \n",
+ " 44.0 \n",
+ " 5.0 \n",
" 0.0 \n",
- " 128.00 \n",
- " 24.0 \n",
- " 36.0 \n",
- " 40.00 \n",
+ " 2.0 \n",
+ " 0.00 \n",
+ " 163.00 \n",
+ " 30.0 \n",
+ " 44.0 \n",
+ " 40.50 \n",
" \n",
" \n",
" Juventus \n",
" Juventus \n",
" 21.00 \n",
- " 53.000 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 6.00 \n",
- " 4.00 \n",
+ " 48.800 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 9.00 \n",
+ " 7.00 \n",
" 1.00 \n",
" 2.0 \n",
" ... \n",
- " 39.00 \n",
- " 36.00 \n",
- " 5.00 \n",
- " 0.00 \n",
- " 2.0 \n",
+ " 52.0 \n",
+ " 49.0 \n",
+ " 5.0 \n",
" 0.0 \n",
- " 134.00 \n",
- " 22.0 \n",
+ " 2.0 \n",
+ " 0.00 \n",
+ " 173.00 \n",
" 26.0 \n",
- " 45.80 \n",
+ " 38.0 \n",
+ " 40.60 \n",
" \n",
" \n",
" Lazio \n",
" Lazio \n",
- " 19.00 \n",
- " 53.300 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 3.00 \n",
- " 3.00 \n",
+ " 20.00 \n",
+ " 56.000 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 4.00 \n",
+ " 4.00 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 36.00 \n",
- " 31.00 \n",
- " 6.00 \n",
+ " 49.0 \n",
+ " 44.0 \n",
+ " 7.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
" 0.00 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 155.00 \n",
- " 39.0 \n",
- " 26.0 \n",
- " 60.00 \n",
+ " 196.00 \n",
+ " 51.0 \n",
+ " 30.0 \n",
+ " 63.00 \n",
" \n",
" \n",
" Lecce \n",
" Lecce \n",
- " 18.00 \n",
- " 45.000 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 6.00 \n",
+ " 19.00 \n",
+ " 43.500 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 7.00 \n",
" 5.00 \n",
- " 1.00 \n",
- " 1.0 \n",
+ " 2.00 \n",
+ " 2.0 \n",
" ... \n",
- " 47.00 \n",
- " 43.00 \n",
- " 4.00 \n",
- " 0.00 \n",
- " 1.0 \n",
+ " 64.0 \n",
+ " 53.0 \n",
+ " 5.0 \n",
" 0.0 \n",
- " 150.00 \n",
- " 33.0 \n",
- " 46.0 \n",
- " 41.80 \n",
+ " 2.0 \n",
+ " 0.00 \n",
+ " 203.00 \n",
+ " 43.0 \n",
+ " 54.0 \n",
+ " 44.30 \n",
" \n",
" \n",
" Milan \n",
" Milan \n",
- " 18.00 \n",
- " 54.000 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 8.00 \n",
- " 5.00 \n",
+ " 19.00 \n",
+ " 55.300 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 9.00 \n",
+ " 6.00 \n",
" 3.00 \n",
" 3.0 \n",
" ... \n",
- " 40.00 \n",
- " 31.00 \n",
- " 5.00 \n",
- " 0.00 \n",
+ " 56.0 \n",
+ " 43.0 \n",
+ " 7.0 \n",
+ " 1.0 \n",
" 3.0 \n",
- " 0.0 \n",
- " 145.00 \n",
- " 34.0 \n",
- " 27.0 \n",
- " 55.70 \n",
+ " 0.00 \n",
+ " 176.00 \n",
+ " 42.0 \n",
+ " 33.0 \n",
+ " 56.00 \n",
" \n",
" \n",
" Monza \n",
" Monza \n",
- " 21.00 \n",
- " 55.300 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 2.00 \n",
- " 2.00 \n",
+ " 22.00 \n",
+ " 56.800 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 3.00 \n",
+ " 3.00 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 26.00 \n",
- " 35.00 \n",
- " 6.00 \n",
- " 0.00 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 144.00 \n",
" 37.0 \n",
- " 27.0 \n",
- " 57.80 \n",
+ " 52.0 \n",
+ " 6.0 \n",
+ " 1.0 \n",
+ " 0.0 \n",
+ " 0.00 \n",
+ " 187.00 \n",
+ " 45.0 \n",
+ " 37.0 \n",
+ " 54.90 \n",
" \n",
" \n",
" Napoli \n",
" Napoli \n",
- " 18.00 \n",
- " 60.300 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 6.00 \n",
- " 3.00 \n",
+ " 19.00 \n",
+ " 61.800 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 8.00 \n",
+ " 5.00 \n",
" 1.00 \n",
" 2.0 \n",
" ... \n",
- " 33.00 \n",
- " 33.00 \n",
- " 6.00 \n",
- " 1.00 \n",
+ " 47.0 \n",
+ " 39.0 \n",
+ " 7.0 \n",
+ " 1.0 \n",
" 2.0 \n",
- " 0.0 \n",
- " 124.00 \n",
- " 19.0 \n",
- " 33.0 \n",
- " 36.50 \n",
+ " 0.00 \n",
+ " 173.00 \n",
+ " 35.0 \n",
+ " 47.0 \n",
+ " 42.70 \n",
" \n",
" \n",
" Roma \n",
" Roma \n",
- " 21.00 \n",
- " 58.300 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 4.00 \n",
- " 3.00 \n",
- " 0.00 \n",
- " 0.0 \n",
- " ... \n",
- " 41.00 \n",
- " 36.00 \n",
- " 2.00 \n",
+ " 23.00 \n",
+ " 57.000 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 10.00 \n",
+ " 8.00 \n",
" 1.00 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 114.00 \n",
- " 45.0 \n",
- " 64.0 \n",
- " 41.30 \n",
+ " 1.0 \n",
+ " ... \n",
+ " 46.0 \n",
+ " 51.0 \n",
+ " 4.0 \n",
+ " 1.0 \n",
+ " 1.0 \n",
+ " 1.00 \n",
+ " 159.00 \n",
+ " 54.0 \n",
+ " 76.0 \n",
+ " 41.50 \n",
" \n",
" \n",
" Salernitana \n",
" Salernitana \n",
" 21.00 \n",
- " 50.000 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 51.500 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 3.00 \n",
" 3.00 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 48.00 \n",
- " 34.00 \n",
- " 2.00 \n",
+ " 64.0 \n",
+ " 46.0 \n",
+ " 4.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
" 0.00 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 151.00 \n",
- " 68.0 \n",
- " 37.0 \n",
- " 64.80 \n",
+ " 203.00 \n",
+ " 86.0 \n",
+ " 54.0 \n",
+ " 61.40 \n",
" \n",
" \n",
" Sassuolo \n",
" Sassuolo \n",
- " 22.00 \n",
- " 43.000 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 3.00 \n",
- " 2.00 \n",
+ " 24.00 \n",
+ " 43.500 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 5.00 \n",
+ " 4.00 \n",
" 1.00 \n",
" 1.0 \n",
" ... \n",
- " 35.00 \n",
- " 25.00 \n",
- " 10.00 \n",
- " 1.00 \n",
+ " 45.0 \n",
+ " 34.0 \n",
+ " 15.0 \n",
+ " 2.0 \n",
" 1.0 \n",
- " 0.0 \n",
- " 159.00 \n",
- " 40.0 \n",
- " 30.0 \n",
- " 57.10 \n",
+ " 0.00 \n",
+ " 207.00 \n",
+ " 50.0 \n",
+ " 37.0 \n",
+ " 57.50 \n",
" \n",
" \n",
" Torino \n",
" Torino \n",
- " 20.00 \n",
- " 53.700 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 2.00 \n",
- " 2.00 \n",
+ " 22.00 \n",
+ " 51.300 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 5.00 \n",
+ " 3.00 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 32.00 \n",
- " 33.00 \n",
- " 5.00 \n",
- " 1.00 \n",
+ " 44.0 \n",
+ " 48.0 \n",
+ " 7.0 \n",
+ " 1.0 \n",
" 0.0 \n",
- " 0.0 \n",
- " 151.00 \n",
- " 46.0 \n",
- " 41.0 \n",
- " 52.90 \n",
+ " 0.00 \n",
+ " 207.00 \n",
+ " 63.0 \n",
+ " 59.0 \n",
+ " 51.60 \n",
" \n",
" \n",
" Udinese \n",
" Udinese \n",
- " 18.00 \n",
- " 46.700 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
+ " 22.00 \n",
+ " 48.500 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
" 1.00 \n",
" 1.00 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 31.00 \n",
- " 41.00 \n",
- " 7.00 \n",
+ " 43.0 \n",
+ " 51.0 \n",
+ " 10.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
" 0.00 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 137.00 \n",
- " 38.0 \n",
- " 48.0 \n",
- " 44.20 \n",
+ " 188.00 \n",
+ " 52.0 \n",
+ " 64.0 \n",
+ " 44.80 \n",
" \n",
" \n",
" Avg \n",
" Avg \n",
- " 19.95 \n",
- " 49.995 \n",
- " 3.0 \n",
- " 33.0 \n",
- " 270.0 \n",
- " 3.85 \n",
- " 2.95 \n",
- " 0.45 \n",
- " 0.6 \n",
+ " 21.45 \n",
+ " 50.025 \n",
+ " 4.0 \n",
+ " 44.0 \n",
+ " 360.0 \n",
+ " 5.65 \n",
+ " 4.35 \n",
+ " 0.65 \n",
+ " 0.8 \n",
" ... \n",
- " 36.45 \n",
- " 34.15 \n",
- " 4.95 \n",
- " 0.35 \n",
- " 0.6 \n",
- " 0.0 \n",
- " 145.95 \n",
- " 38.4 \n",
- " 38.4 \n",
- " 49.89 \n",
+ " 48.7 \n",
+ " 45.6 \n",
+ " 6.8 \n",
+ " 0.5 \n",
+ " 0.8 \n",
+ " 0.05 \n",
+ " 194.05 \n",
+ " 50.8 \n",
+ " 50.8 \n",
+ " 49.86 \n",
" \n",
" \n",
"\n",
@@ -1478,170 +1478,170 @@
],
"text/plain": [
" team team_players_used team_possession team_games \\\n",
- "Atalanta Atalanta 20.00 51.700 3.0 \n",
- "Bologna Bologna 20.00 55.300 3.0 \n",
- "Cagliari Cagliari 19.00 35.000 3.0 \n",
- "Empoli Empoli 26.00 48.000 3.0 \n",
- "Fiorentina Fiorentina 21.00 62.300 3.0 \n",
- "Frosinone Frosinone 21.00 46.000 3.0 \n",
- "Genoa Genoa 18.00 33.000 3.0 \n",
- "Verona Hellas Verona 19.00 44.700 3.0 \n",
- "Inter Inter 18.00 51.300 3.0 \n",
- "Juventus Juventus 21.00 53.000 3.0 \n",
- "Lazio Lazio 19.00 53.300 3.0 \n",
- "Lecce Lecce 18.00 45.000 3.0 \n",
- "Milan Milan 18.00 54.000 3.0 \n",
- "Monza Monza 21.00 55.300 3.0 \n",
- "Napoli Napoli 18.00 60.300 3.0 \n",
- "Roma Roma 21.00 58.300 3.0 \n",
- "Salernitana Salernitana 21.00 50.000 3.0 \n",
- "Sassuolo Sassuolo 22.00 43.000 3.0 \n",
- "Torino Torino 20.00 53.700 3.0 \n",
- "Udinese Udinese 18.00 46.700 3.0 \n",
- "Avg Avg 19.95 49.995 3.0 \n",
+ "Atalanta Atalanta 23.00 49.500 4.0 \n",
+ "Bologna Bologna 22.00 56.500 4.0 \n",
+ "Cagliari Cagliari 21.00 37.800 4.0 \n",
+ "Empoli Empoli 27.00 47.800 4.0 \n",
+ "Fiorentina Fiorentina 22.00 61.000 4.0 \n",
+ "Frosinone Frosinone 23.00 48.300 4.0 \n",
+ "Genoa Genoa 19.00 33.300 4.0 \n",
+ "Verona Hellas Verona 21.00 43.500 4.0 \n",
+ "Inter Inter 19.00 48.800 4.0 \n",
+ "Juventus Juventus 21.00 48.800 4.0 \n",
+ "Lazio Lazio 20.00 56.000 4.0 \n",
+ "Lecce Lecce 19.00 43.500 4.0 \n",
+ "Milan Milan 19.00 55.300 4.0 \n",
+ "Monza Monza 22.00 56.800 4.0 \n",
+ "Napoli Napoli 19.00 61.800 4.0 \n",
+ "Roma Roma 23.00 57.000 4.0 \n",
+ "Salernitana Salernitana 21.00 51.500 4.0 \n",
+ "Sassuolo Sassuolo 24.00 43.500 4.0 \n",
+ "Torino Torino 22.00 51.300 4.0 \n",
+ "Udinese Udinese 22.00 48.500 4.0 \n",
+ "Avg Avg 21.45 50.025 4.0 \n",
"\n",
" team_games_starts team_minutes team_goals team_assists \\\n",
- "Atalanta 33.0 270.0 6.00 6.00 \n",
- "Bologna 33.0 270.0 3.00 2.00 \n",
- "Cagliari 33.0 270.0 1.00 1.00 \n",
- "Empoli 33.0 270.0 0.00 0.00 \n",
- "Fiorentina 33.0 270.0 6.00 5.00 \n",
- "Frosinone 33.0 270.0 3.00 2.00 \n",
- "Genoa 33.0 270.0 2.00 1.00 \n",
- "Verona 33.0 270.0 4.00 2.00 \n",
- "Inter 33.0 270.0 8.00 7.00 \n",
- "Juventus 33.0 270.0 6.00 4.00 \n",
- "Lazio 33.0 270.0 3.00 3.00 \n",
- "Lecce 33.0 270.0 6.00 5.00 \n",
- "Milan 33.0 270.0 8.00 5.00 \n",
- "Monza 33.0 270.0 2.00 2.00 \n",
- "Napoli 33.0 270.0 6.00 3.00 \n",
- "Roma 33.0 270.0 4.00 3.00 \n",
- "Salernitana 33.0 270.0 3.00 3.00 \n",
- "Sassuolo 33.0 270.0 3.00 2.00 \n",
- "Torino 33.0 270.0 2.00 2.00 \n",
- "Udinese 33.0 270.0 1.00 1.00 \n",
- "Avg 33.0 270.0 3.85 2.95 \n",
+ "Atalanta 44.0 360.0 8.00 8.00 \n",
+ "Bologna 44.0 360.0 3.00 2.00 \n",
+ "Cagliari 44.0 360.0 1.00 1.00 \n",
+ "Empoli 44.0 360.0 0.00 0.00 \n",
+ "Fiorentina 44.0 360.0 9.00 7.00 \n",
+ "Frosinone 44.0 360.0 7.00 4.00 \n",
+ "Genoa 44.0 360.0 4.00 3.00 \n",
+ "Verona 44.0 360.0 4.00 2.00 \n",
+ "Inter 44.0 360.0 13.00 11.00 \n",
+ "Juventus 44.0 360.0 9.00 7.00 \n",
+ "Lazio 44.0 360.0 4.00 4.00 \n",
+ "Lecce 44.0 360.0 7.00 5.00 \n",
+ "Milan 44.0 360.0 9.00 6.00 \n",
+ "Monza 44.0 360.0 3.00 3.00 \n",
+ "Napoli 44.0 360.0 8.00 5.00 \n",
+ "Roma 44.0 360.0 10.00 8.00 \n",
+ "Salernitana 44.0 360.0 3.00 3.00 \n",
+ "Sassuolo 44.0 360.0 5.00 4.00 \n",
+ "Torino 44.0 360.0 5.00 3.00 \n",
+ "Udinese 44.0 360.0 1.00 1.00 \n",
+ "Avg 44.0 360.0 5.65 4.35 \n",
"\n",
" team_pens_made team_pens_att ... vs_team_fouls \\\n",
- "Atalanta 0.00 0.0 ... 28.00 \n",
- "Bologna 0.00 1.0 ... 32.00 \n",
- "Cagliari 0.00 0.0 ... 27.00 \n",
- "Empoli 0.00 0.0 ... 45.00 \n",
- "Fiorentina 0.00 0.0 ... 42.00 \n",
- "Frosinone 1.00 1.0 ... 41.00 \n",
- "Genoa 0.00 0.0 ... 35.00 \n",
- "Verona 0.00 0.0 ... 37.00 \n",
- "Inter 1.00 1.0 ... 34.00 \n",
- "Juventus 1.00 2.0 ... 39.00 \n",
- "Lazio 0.00 0.0 ... 36.00 \n",
- "Lecce 1.00 1.0 ... 47.00 \n",
- "Milan 3.00 3.0 ... 40.00 \n",
- "Monza 0.00 0.0 ... 26.00 \n",
- "Napoli 1.00 2.0 ... 33.00 \n",
- "Roma 0.00 0.0 ... 41.00 \n",
- "Salernitana 0.00 0.0 ... 48.00 \n",
- "Sassuolo 1.00 1.0 ... 35.00 \n",
- "Torino 0.00 0.0 ... 32.00 \n",
- "Udinese 0.00 0.0 ... 31.00 \n",
- "Avg 0.45 0.6 ... 36.45 \n",
+ "Atalanta 0.00 0.0 ... 36.0 \n",
+ "Bologna 0.00 1.0 ... 50.0 \n",
+ "Cagliari 0.00 0.0 ... 38.0 \n",
+ "Empoli 0.00 0.0 ... 60.0 \n",
+ "Fiorentina 0.00 0.0 ... 56.0 \n",
+ "Frosinone 2.00 2.0 ... 50.0 \n",
+ "Genoa 0.00 0.0 ... 43.0 \n",
+ "Verona 0.00 0.0 ... 47.0 \n",
+ "Inter 2.00 2.0 ... 47.0 \n",
+ "Juventus 1.00 2.0 ... 52.0 \n",
+ "Lazio 0.00 0.0 ... 49.0 \n",
+ "Lecce 2.00 2.0 ... 64.0 \n",
+ "Milan 3.00 3.0 ... 56.0 \n",
+ "Monza 0.00 0.0 ... 37.0 \n",
+ "Napoli 1.00 2.0 ... 47.0 \n",
+ "Roma 1.00 1.0 ... 46.0 \n",
+ "Salernitana 0.00 0.0 ... 64.0 \n",
+ "Sassuolo 1.00 1.0 ... 45.0 \n",
+ "Torino 0.00 0.0 ... 44.0 \n",
+ "Udinese 0.00 0.0 ... 43.0 \n",
+ "Avg 0.65 0.8 ... 48.7 \n",
"\n",
" vs_team_fouled vs_team_offsides vs_team_pens_won \\\n",
- "Atalanta 33.00 2.00 0.00 \n",
- "Bologna 30.00 7.00 0.00 \n",
- "Cagliari 29.00 4.00 0.00 \n",
- "Empoli 38.00 6.00 1.00 \n",
- "Fiorentina 36.00 3.00 1.00 \n",
- "Frosinone 31.00 4.00 0.00 \n",
- "Genoa 31.00 6.00 0.00 \n",
- "Verona 47.00 6.00 1.00 \n",
- "Inter 30.00 3.00 0.00 \n",
- "Juventus 36.00 5.00 0.00 \n",
- "Lazio 31.00 6.00 0.00 \n",
- "Lecce 43.00 4.00 0.00 \n",
- "Milan 31.00 5.00 0.00 \n",
- "Monza 35.00 6.00 0.00 \n",
- "Napoli 33.00 6.00 1.00 \n",
- "Roma 36.00 2.00 1.00 \n",
- "Salernitana 34.00 2.00 0.00 \n",
- "Sassuolo 25.00 10.00 1.00 \n",
- "Torino 33.00 5.00 1.00 \n",
- "Udinese 41.00 7.00 0.00 \n",
- "Avg 34.15 4.95 0.35 \n",
+ "Atalanta 47.0 2.0 0.0 \n",
+ "Bologna 40.0 12.0 0.0 \n",
+ "Cagliari 41.0 5.0 0.0 \n",
+ "Empoli 42.0 8.0 1.0 \n",
+ "Fiorentina 43.0 5.0 1.0 \n",
+ "Frosinone 39.0 6.0 0.0 \n",
+ "Genoa 43.0 9.0 0.0 \n",
+ "Verona 63.0 7.0 1.0 \n",
+ "Inter 44.0 5.0 0.0 \n",
+ "Juventus 49.0 5.0 0.0 \n",
+ "Lazio 44.0 7.0 0.0 \n",
+ "Lecce 53.0 5.0 0.0 \n",
+ "Milan 43.0 7.0 1.0 \n",
+ "Monza 52.0 6.0 1.0 \n",
+ "Napoli 39.0 7.0 1.0 \n",
+ "Roma 51.0 4.0 1.0 \n",
+ "Salernitana 46.0 4.0 0.0 \n",
+ "Sassuolo 34.0 15.0 2.0 \n",
+ "Torino 48.0 7.0 1.0 \n",
+ "Udinese 51.0 10.0 0.0 \n",
+ "Avg 45.6 6.8 0.5 \n",
"\n",
" vs_team_pens_conceded vs_team_own_goals \\\n",
- "Atalanta 0.0 0.0 \n",
- "Bologna 1.0 0.0 \n",
- "Cagliari 0.0 0.0 \n",
- "Empoli 0.0 0.0 \n",
- "Fiorentina 0.0 0.0 \n",
- "Frosinone 1.0 0.0 \n",
- "Genoa 0.0 0.0 \n",
- "Verona 0.0 0.0 \n",
- "Inter 1.0 0.0 \n",
- "Juventus 2.0 0.0 \n",
- "Lazio 0.0 0.0 \n",
- "Lecce 1.0 0.0 \n",
- "Milan 3.0 0.0 \n",
- "Monza 0.0 0.0 \n",
- "Napoli 2.0 0.0 \n",
- "Roma 0.0 0.0 \n",
- "Salernitana 0.0 0.0 \n",
- "Sassuolo 1.0 0.0 \n",
- "Torino 0.0 0.0 \n",
- "Udinese 0.0 0.0 \n",
- "Avg 0.6 0.0 \n",
+ "Atalanta 0.0 0.00 \n",
+ "Bologna 1.0 0.00 \n",
+ "Cagliari 0.0 0.00 \n",
+ "Empoli 0.0 0.00 \n",
+ "Fiorentina 0.0 0.00 \n",
+ "Frosinone 2.0 0.00 \n",
+ "Genoa 0.0 0.00 \n",
+ "Verona 0.0 0.00 \n",
+ "Inter 2.0 0.00 \n",
+ "Juventus 2.0 0.00 \n",
+ "Lazio 0.0 0.00 \n",
+ "Lecce 2.0 0.00 \n",
+ "Milan 3.0 0.00 \n",
+ "Monza 0.0 0.00 \n",
+ "Napoli 2.0 0.00 \n",
+ "Roma 1.0 1.00 \n",
+ "Salernitana 0.0 0.00 \n",
+ "Sassuolo 1.0 0.00 \n",
+ "Torino 0.0 0.00 \n",
+ "Udinese 0.0 0.00 \n",
+ "Avg 0.8 0.05 \n",
"\n",
" vs_team_ball_recoveries vs_team_aerials_won \\\n",
- "Atalanta 157.00 44.0 \n",
- "Bologna 157.00 23.0 \n",
- "Cagliari 165.00 44.0 \n",
- "Empoli 152.00 42.0 \n",
- "Fiorentina 142.00 38.0 \n",
- "Frosinone 168.00 46.0 \n",
- "Genoa 148.00 32.0 \n",
- "Verona 138.00 54.0 \n",
- "Inter 128.00 24.0 \n",
- "Juventus 134.00 22.0 \n",
- "Lazio 155.00 39.0 \n",
- "Lecce 150.00 33.0 \n",
- "Milan 145.00 34.0 \n",
- "Monza 144.00 37.0 \n",
- "Napoli 124.00 19.0 \n",
- "Roma 114.00 45.0 \n",
- "Salernitana 151.00 68.0 \n",
- "Sassuolo 159.00 40.0 \n",
- "Torino 151.00 46.0 \n",
- "Udinese 137.00 38.0 \n",
- "Avg 145.95 38.4 \n",
+ "Atalanta 212.00 65.0 \n",
+ "Bologna 207.00 34.0 \n",
+ "Cagliari 220.00 60.0 \n",
+ "Empoli 203.00 54.0 \n",
+ "Fiorentina 202.00 56.0 \n",
+ "Frosinone 212.00 53.0 \n",
+ "Genoa 200.00 46.0 \n",
+ "Verona 190.00 71.0 \n",
+ "Inter 163.00 30.0 \n",
+ "Juventus 173.00 26.0 \n",
+ "Lazio 196.00 51.0 \n",
+ "Lecce 203.00 43.0 \n",
+ "Milan 176.00 42.0 \n",
+ "Monza 187.00 45.0 \n",
+ "Napoli 173.00 35.0 \n",
+ "Roma 159.00 54.0 \n",
+ "Salernitana 203.00 86.0 \n",
+ "Sassuolo 207.00 50.0 \n",
+ "Torino 207.00 63.0 \n",
+ "Udinese 188.00 52.0 \n",
+ "Avg 194.05 50.8 \n",
"\n",
" vs_team_aerials_lost vs_team_aerials_won_pct \n",
- "Atalanta 42.0 51.20 \n",
- "Bologna 29.0 44.20 \n",
- "Cagliari 37.0 54.30 \n",
- "Empoli 30.0 58.30 \n",
- "Fiorentina 32.0 54.30 \n",
- "Frosinone 42.0 52.30 \n",
- "Genoa 44.0 42.10 \n",
- "Verona 71.0 43.20 \n",
- "Inter 36.0 40.00 \n",
- "Juventus 26.0 45.80 \n",
- "Lazio 26.0 60.00 \n",
- "Lecce 46.0 41.80 \n",
- "Milan 27.0 55.70 \n",
- "Monza 27.0 57.80 \n",
- "Napoli 33.0 36.50 \n",
- "Roma 64.0 41.30 \n",
- "Salernitana 37.0 64.80 \n",
- "Sassuolo 30.0 57.10 \n",
- "Torino 41.0 52.90 \n",
- "Udinese 48.0 44.20 \n",
- "Avg 38.4 49.89 \n",
+ "Atalanta 60.0 52.00 \n",
+ "Bologna 46.0 42.50 \n",
+ "Cagliari 51.0 54.10 \n",
+ "Empoli 39.0 58.10 \n",
+ "Fiorentina 53.0 51.40 \n",
+ "Frosinone 52.0 50.50 \n",
+ "Genoa 60.0 43.40 \n",
+ "Verona 82.0 46.40 \n",
+ "Inter 44.0 40.50 \n",
+ "Juventus 38.0 40.60 \n",
+ "Lazio 30.0 63.00 \n",
+ "Lecce 54.0 44.30 \n",
+ "Milan 33.0 56.00 \n",
+ "Monza 37.0 54.90 \n",
+ "Napoli 47.0 42.70 \n",
+ "Roma 76.0 41.50 \n",
+ "Salernitana 54.0 61.40 \n",
+ "Sassuolo 37.0 57.50 \n",
+ "Torino 59.0 51.60 \n",
+ "Udinese 64.0 44.80 \n",
+ "Avg 50.8 49.86 \n",
"\n",
"[21 rows x 303 columns]"
]
},
- "execution_count": 9,
+ "execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
@@ -1667,7 +1667,7 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 8,
"id": "32f56138",
"metadata": {},
"outputs": [],
@@ -1813,7 +1813,7 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 9,
"id": "4001f3f8",
"metadata": {},
"outputs": [],
@@ -1926,7 +1926,7 @@
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 10,
"id": "f4017b2f",
"metadata": {},
"outputs": [],
@@ -2005,7 +2005,7 @@
},
{
"cell_type": "code",
- "execution_count": 73,
+ "execution_count": 11,
"id": "3223cfe3",
"metadata": {},
"outputs": [
@@ -3610,7 +3610,7 @@
"[52 rows x 384 columns]"
]
},
- "execution_count": 73,
+ "execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
@@ -3639,7 +3639,7 @@
},
{
"cell_type": "code",
- "execution_count": 76,
+ "execution_count": 41,
"id": "6f8707b8",
"metadata": {},
"outputs": [
@@ -3649,26 +3649,25 @@
"text": [
" \n",
"Averaging players stats with past seasons:\n",
- "Maignan 0.7972027972027971\n",
- "Meret 0.5158371040723981\n",
- "Szczesny 0.20879120879120883\n",
- "Provedel 0.46153846153846145\n",
- "Rui Patricio 0.501098901098901\n",
+ "Szczesny 0.41758241758241765\n",
+ "Meret 0.6877828054298643\n",
+ "Provedel 0.6153846153846154\n",
+ "Maignan 1\n",
+ "Rui Patricio 0.6681318681318682\n",
+ "Skorupski 0.632016632016632\n",
+ "Milinkovic-Savic V. 0.6153846153846154\n",
"Di Gregorio 0.47401247401247393\n",
- "Skorupski 0.47401247401247393\n",
- "Milinkovic-Savic V. 0.46153846153846145\n",
- "Terracciano 0.20159151193633953\n",
- "Carnesecchi 0.6820512820512821\n",
- "Falcone 0.46153846153846145\n",
- "Silvestri 0.46153846153846145\n",
- "Ochoa 0.8769230769230768\n",
- "Montipo' 0.47401247401247393\n",
+ "Falcone 0.6153846153846154\n",
+ "Silvestri 0.6153846153846154\n",
+ "Terracciano 0.40318302387267907\n",
+ "Carnesecchi 0.22735042735042738\n",
+ "Montipo' 0.632016632016632\n",
+ "Ochoa 1\n",
"Consigli 0.501098901098901\n",
"Musso 0.7307692307692307\n",
+ "Cragno 1\n",
"Perin 1\n",
"Berisha 1\n",
- "Cragno 1\n",
- "Cerofolini 1\n",
"Sportiello 1\n",
"Mirante 1\n",
"Sepe 1\n",
@@ -3678,9 +3677,10 @@
"Padelli 1\n",
"Gollini 1\n",
"Perisan 0.8351648351648353\n",
- "Audero 0.7366153846153846\n",
+ "Audero 0.9821538461538462\n",
"Pinsoglio 1\n",
"Fiorillo 1\n",
+ "Cerofolini 1\n",
"Rossi F. 1\n",
"Ravaglia F. 1\n",
"Brancolini 1\n",
@@ -3690,297 +3690,298 @@
"Bagnolini 1\n",
"Svilar 1\n",
"Sorrentino A. 1\n",
- "Dimarco 0.2657342657342657\n",
- "Di Lorenzo 0.23700623700623696\n",
- "Hernandez T. 0.2740384615384615\n",
- "Carlos Augusto 0.2630769230769231\n",
- "Danilo 0.23700623700623696\n",
- "Zappacosta 0.4175824175824175\n",
- "Schuurs 0.29230769230769227\n",
- "Posch 0.29230769230769227\n",
- "Bastoni 0.3023872679045092\n",
- "Pavard 0.0 (rookie)\n",
+ "Dimarco 0.3543123543123543\n",
+ "Di Lorenzo 0.316008316008316\n",
+ "Hernandez T. 0.3653846153846154\n",
+ "Carlos Augusto 0.3507692307692308\n",
+ "Danilo 0.316008316008316\n",
+ "Zappacosta 0.5567765567765568\n",
+ "Schuurs 0.38974358974358975\n",
+ "Posch 0.38974358974358975\n",
+ "Bastoni 0.40318302387267907\n",
"Smalling 0.2740384615384615\n",
+ "Dumfries 0.3438914027149321\n",
+ "Romagnoli 0.3438914027149321\n",
+ "Pavard 0.0 (rookie)\n",
"Rrahmani 0.3023872679045092\n",
- "Dumfries 0.25791855203619907\n",
- "Romagnoli 0.25791855203619907\n",
- "Bremer 0.29230769230769227\n",
+ "Spinazzola 0.44970414201183434\n",
+ "Buongiorno 0.3438914027149321\n",
+ "Bremer 0.38974358974358975\n",
"Tomori 0.2657342657342657\n",
- "Spinazzola 0.3372781065088757\n",
- "Darmian 0.2828784119106699\n",
- "Biraghi 0.17715617715617715\n",
+ "Biraghi 0.2657342657342657\n",
+ "Mancini 0.3340659340659341\n",
+ "Darmian 0.3771712158808933\n",
"Bakker 0.21923076923076926 (rookie)\n",
- "Mazzocchi 0.32478632478632474\n",
- "Baschirotto 0.23700623700623696\n",
- "Doig 0.39860139860139854\n",
- "Thiaw 0.4384615384615384\n",
- "Mario Rui 0.26573426573426573\n",
- "Calabria 0.35076923076923067\n",
- "Acerbi 0.0\n",
+ "Mazzocchi 0.4330484330484331\n",
+ "Doig 0.5314685314685315\n",
+ "Calabria 0.4676923076923077\n",
+ "Acerbi 0.09429280397022333\n",
"Cuadrado 0.29702233250620347\n",
- "Milenkovic 0.32478632478632474\n",
- "Mancini 0.2505494505494505\n",
- "Buongiorno 0.25791855203619907\n",
"Ebuehi 0.22485207100591717\n",
- "Casale 0.20159151193633953\n",
- "Scalvini 0.2740384615384615\n",
+ "Casale 0.3023872679045092\n",
"Holm 0.15346153846153848\n",
- "Faraoni 0.25418060200668896\n",
- "Kolasinac 0.279020979020979 (rookie)\n",
- "Perez N. 0.25791855203619907\n",
- "Bijol 0.2740384615384615\n",
- "De Vrij 0.32478632478632474\n",
- "Toloi 0.0\n",
- "Djimsiti 0.36538461538461536\n",
- "Rodriguez R. 0.2505494505494505\n",
- "Martin 0.32884615384615384 (rookie)\n",
- "N'dicka 0.0 (rookie)\n",
- "Kyriakopoulos 0.2557692307692308\n",
- "Mari' 0.29230769230769227\n",
- "Bastoni S. 0.0\n",
+ "Baschirotto 0.316008316008316\n",
+ "Bijol 0.3653846153846154\n",
+ "Thiaw 0.5846153846153846\n",
+ "Mario Rui 0.39860139860139854\n",
+ "Milenkovic 0.4330484330484331\n",
+ "Rodriguez R. 0.3340659340659341\n",
+ "Kolasinac 0.37202797202797205 (rookie)\n",
+ "N'dicka 0.10230769230769231 (rookie)\n",
+ "Scalvini 0.3653846153846154\n",
+ "Perez N. 0.3438914027149321\n",
"Kristensen 0.0 (rookie)\n",
- "Hysaj 0.08597285067873303\n",
- "Izzo 0.19487179487179487\n",
+ "Izzo 0.29230769230769227\n",
+ "De Vrij 0.4330484330484331\n",
+ "Faraoni 0.38127090301003336\n",
+ "Toloi 0.09134615384615385\n",
+ "Kyriakopoulos 0.5115384615384616\n",
+ "Bellanova 0.6820512820512822\n",
+ "Mari' 0.38974358974358975\n",
+ "Dodo' 0.3543123543123543\n",
+ "Lucumi' 0.3543123543123543\n",
+ "Hien 0.1826923076923077\n",
+ "Hysaj 0.17194570135746606\n",
"D'ambrosio 0.40923076923076923\n",
- "Luperto 0.24358974358974356\n",
- "Marusic 0.2657342657342657\n",
+ "Luperto 0.3247863247863248\n",
+ "Djimsiti 0.36538461538461536\n",
+ "Marusic 0.3543123543123543\n",
+ "Martin 0.4384615384615385 (rookie)\n",
"Mina 0.0 (rookie)\n",
- "Bellanova 0.5115384615384616\n",
- "Caldirola 0.2828784119106699\n",
- "Kalulu 0.17194570135746606\n",
- "Parisi 0.09300699300699301\n",
- "Cambiaso 0.28774038461538465\n",
- "Bradaric 0.2828784119106699\n",
- "Olivera 0.29230769230769227\n",
- "Dodo' 0.2657342657342657\n",
- "Lucumi' 0.2657342657342657\n",
- "Hien 0.09134615384615385\n",
- "Kristiansen 0.2557692307692308 (rookie)\n",
- "Pedersen 0.2116710875331565 (rookie)\n",
- "Romagnoli S. 1\n",
- "Romagnoli S. 0.4846153846153846 (two seasons ago)\n",
- "Juan Jesus 0.5846153846153845\n",
- "Gyomber 0.32478632478632474\n",
+ "Toljan 0.3771712158808933\n",
+ "Llorente D. 1\n",
+ "Martinez Quarta 0.21652421652421655\n",
+ "Bastoni S. 0.16153846153846155\n",
+ "Dragusin 0.3230769230769231 (rookie)\n",
+ "Parisi 0.18601398601398603\n",
+ "Bradaric 0.3771712158808933\n",
+ "Olivera 0.38974358974358975\n",
+ "Gendrey 0.316008316008316\n",
+ "Kristiansen 0.5115384615384616 (rookie)\n",
+ "Beukema 0.47218934911242605 (rookie)\n",
+ "Dossena 0.5337792642140469 (rookie)\n",
+ "Pedersen 0.3175066312997347 (rookie)\n",
+ "Juan Jesus 0.7794871794871795\n",
+ "Gyomber 0.4330484330484331\n",
"Alex Sandro 0.23384615384615384\n",
"Hateboer 0.0\n",
"Palomino 0.19487179487179487\n",
- "Marchizza 0.9207692307692308\n",
- "Marchizza 0.574207100591716 (two seasons ago)\n",
- "Lazzari 0.20879120879120883\n",
- "Toljan 0.2828784119106699\n",
- "Zappa 0.35076923076923067 (two seasons ago)\n",
- "Gallo 0.2740384615384615\n",
- "Erlic 0.31318681318681313\n",
+ "Marchizza 1\n",
+ "Marchizza 0.6461538461538462 (two seasons ago)\n",
+ "Zappa 0.4676923076923077 (two seasons ago)\n",
+ "Gallo 0.3653846153846154\n",
+ "Caldirola 0.3771712158808933\n",
+ "Kalulu 0.17194570135746606\n",
+ "Erlic 0.41758241758241765\n",
"Vojvoda 0.3023872679045092\n",
- "Llorente D. 0.9743589743589742\n",
- "Dragusin 0.2423076923076923 (rookie)\n",
- "Vasquez 0.3683076923076923\n",
+ "Vasquez 0.4910769230769231\n",
+ "Cambiaso 0.3836538461538462\n",
+ "Pongracic 1\n",
"Viti 0.3410256410256411 (rookie)\n",
- "Gatti 0.1623931623931624\n",
- "Birindelli 0.2828784119106699\n",
- "Gendrey 0.23700623700623696\n",
- "Beukema 0.35414201183431954 (rookie)\n",
- "Dossena 0.4003344481605351 (rookie)\n",
- "Azzi 0.5754807692307693 (rookie)\n",
+ "Gatti 0.3247863247863248\n",
+ "Birindelli 0.3771712158808933\n",
+ "Azzi 0.7673076923076924 (rookie)\n",
"Masina 0.0\n",
- "Pezzella Giu. 0.5754807692307693\n",
- "Sabelli 0.20461538461538462 (rookie)\n",
- "Lykogiannis 0.2783882783882784\n",
+ "Romagnoli S. 1\n",
+ "Romagnoli S. 0.6461538461538462 (two seasons ago)\n",
+ "Pezzella Giu. 0.7673076923076924\n",
+ "Sabelli 0.3069230769230769 (rookie)\n",
+ "Lazzari 0.20879120879120883\n",
+ "Bani 0.37202797202797205 (rookie)\n",
"Djidji 0.0\n",
+ "Lazaro 0.38127090301003336\n",
+ "Augello 0.24885654885654884\n",
+ "Zortea 0.9207692307692308\n",
+ "Zortea 0.3762046521118139 (two seasons ago)\n",
+ "Dawidowicz 0.5083612040133779\n",
+ "Pirola 0.3372781065088757\n",
+ "Lovato 0.6877828054298643\n",
+ "Ruggeri 0.7794871794871795\n",
+ "Vina 0.47218934911242605 (two seasons ago)\n",
+ "Obert 1 (two seasons ago)\n",
+ "Terracciano F. 0.5846153846153846\n",
+ "Ebosele 0.6877828054298643\n",
+ "Patric 0.1623931623931624\n",
+ "Lykogiannis 0.2783882783882784\n",
+ "Pellegrini Lu. 1\n",
+ "Pellegrini Lu. 0.6820512820512822 (two seasons ago)\n",
+ "Magnani 0.4871794871794872\n",
"Ranieri L. 0.6495726495726496\n",
"Ranieri L. 0.5061947549127037 (two seasons ago)\n",
- "Augello 0.1659043659043659\n",
- "Zortea 0.6138461538461539\n",
- "Zortea 0.5386215058151396 (two seasons ago)\n",
- "Dawidowicz 0.38127090301003336\n",
- "Pirola 0.22485207100591717\n",
- "Lovato 0.5158371040723981\n",
- "Monterisi 0.837062937062937 (rookie)\n",
- "Ismajli 0.23384615384615384\n",
- "Martinez Quarta 0.10826210826210828\n",
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- "Terracciano F. 0.4384615384615384\n",
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- "Goldaniga 0.26573426573426573 (two seasons ago)\n",
"Ferrari G. 0.0\n",
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"Karsdorp 0.44970414201183434\n",
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- "Kjaer 0.3438914027149321\n",
+ "Kjaer 0.5158371040723981\n",
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- "Magnani 0.36538461538461536\n",
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"Zima 0.3247863247863248\n",
"Hefti 0.548076923076923 (two seasons ago)\n",
- "Ostigard 0.8351648351648353\n",
+ "Ostigard 1\n",
"Ostigard 1 (two seasons ago)\n",
"Sambia 0.13286713286713286\n",
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+ "Florenzi 0.9743589743589745\n",
+ "Florenzi 0.2560815253122945 (two seasons ago)\n",
+ "De Silvestri 0.38974358974358975\n",
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+ "Bereszynski 0.1753846153846154 (two seasons ago)\n",
"Bonifazi 0.0\n",
- "Walukiewicz 0.26573426573426573\n",
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+ "Soppy 0.20461538461538462\n",
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- "De Winter 0.0\n",
"Coppola D. 0.3076923076923077\n",
"Cacace 0.4871794871794872\n",
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"Cabal 0.5314685314685315\n",
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"Tonelli 0.20879120879120883 (two seasons ago)\n",
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"Carboni F. 1\n",
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- "Orsolini 0.2740384615384615\n",
- "Chukwueze 0.24885654885654884 (rookie)\n",
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- "Candreva 0.2505494505494505\n",
- "Calhanoglu 0.2657342657342657\n",
- "Frattesi 0.2557692307692308\n",
- "Samardzic 0.23700623700623696\n",
+ "Zaccagni 0.3340659340659341\n",
+ "Koopmeiners 0.3543123543123543\n",
+ "Luis Alberto 0.3340659340659341\n",
+ "Felipe Anderson 0.3076923076923077\n",
+ "Rabiot 0.3653846153846154\n",
+ "Zielinski 0.316008316008316\n",
+ "Barella 0.3340659340659341\n",
+ "Pulisic 0.5115384615384616 (rookie)\n",
+ "Orsolini 0.3653846153846154\n",
+ "Calhanoglu 0.3543123543123543\n",
+ "Strefezza 0.3340659340659341\n",
+ "Chukwueze 0.3318087318087318 (rookie)\n",
+ "Ferguson 0.3653846153846154\n",
+ "Candreva 0.3340659340659341\n",
+ "Frattesi 0.3410256410256411\n",
+ "Samardzic 0.316008316008316\n",
"Vlasic 0.25791855203619907\n",
- "El Shaarawy 0.3023872679045092\n",
+ "Bonaventura 0.38974358974358975\n",
+ "Politano 0.4330484330484331\n",
+ "El Shaarawy 0.40318302387267907\n",
+ "Mkhitaryan 0.3771712158808933\n",
"Aouar 0.5754807692307693 (rookie)\n",
- "Bonaventura 0.29230769230769227\n",
+ "Malinovskyi 0.3069230769230769 (two seasons ago)\n",
+ "Gudmundsson A. 0.3410256410256411 (rookie)\n",
+ "Kamada 0.3836538461538462 (rookie)\n",
"Pellegrini Lo. 0.1826923076923077\n",
- "Politano 0.32478632478632474\n",
- "Malinovskyi 0.20461538461538462 (two seasons ago)\n",
- "Lovric 0.23700623700623696\n",
- "Kamada 0.28774038461538465 (rookie)\n",
+ "Kostic 0.158004158004158\n",
+ "Radonjic 0.41758241758241765\n",
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+ "Lovric 0.316008316008316\n",
"Lindstrom 0.0 (rookie)\n",
- "Lazovic 0.0\n",
- "Loftus-Cheek 0.3683076923076923 (rookie)\n",
- "Zambo Anguissa 0.24358974358974356\n",
- "Elmas 0.1623931623931624\n",
- "Kostic 0.079002079002079\n",
- "Gudmundsson A. 0.2557692307692308 (rookie)\n",
- "Baldanzi 0.3372781065088757\n",
- "Ciurria 0.24358974358974356\n",
- "Pasalic 0.09134615384615385\n",
- "Mkhitaryan 0.2828784119106699\n",
- "Pessina 0.2505494505494505\n",
- "Guendouzi 0.09300699300699301 (rookie)\n",
- "Lobotka 0.23076923076923073\n",
- "Bajrami 0.4871794871794871\n",
- "Ricci S. 0.31318681318681313\n",
- "Reijnders 0.27081447963800903 (rookie)\n",
+ "Lazovic 0.09743589743589744\n",
+ "Pereyra 0.08597285067873303\n",
+ "Renato Sanches 0.26688963210702343 (rookie)\n",
+ "Pessina 0.3340659340659341\n",
+ "Guendouzi 0.18601398601398603 (rookie)\n",
+ "Loftus-Cheek 0.4910769230769231 (rookie)\n",
+ "Zambo Anguissa 0.3247863247863248\n",
+ "Elmas 0.24358974358974356\n",
+ "Bajrami 0.6495726495726496\n",
+ "Ricci S. 0.41758241758241765\n",
+ "Colpani 0.4330484330484331\n",
+ "Ciurria 0.3247863247863248\n",
+ "De Roon 0.3340659340659341\n",
"Pogba 0.9743589743589745\n",
- "Renato Sanches 0.13344481605351172 (rookie)\n",
- "Fagioli 0.22485207100591717\n",
+ "Cristante 0.3247863247863248\n",
+ "Locatelli 0.3653846153846154\n",
+ "Pasalic 0.1826923076923077\n",
+ "Lobotka 0.3076923076923077\n",
+ "Fagioli 0.3372781065088757\n",
"Ikone' 0.0\n",
"Ilic 0.6263736263736263\n",
- "Radonjic 0.31318681318681313\n",
- "Ederson D.s. 0.2505494505494505\n",
- "Colpani 0.32478632478632474\n",
- "De Roon 0.2505494505494505\n",
- "Locatelli 0.2740384615384615\n",
- "Barak 0.0\n",
+ "Ederson D.s. 0.3340659340659341\n",
+ "Reijnders 0.3610859728506787 (rookie)\n",
+ "Barak 0.09743589743589744\n",
"Saponara 0.2116710875331565\n",
- "Cristante 0.24358974358974356\n",
- "Mandragora 0.3023872679045092\n",
- "Weah 0.3175066312997347 (rookie)\n",
+ "Mandragora 0.40318302387267907\n",
+ "Weah 0.423342175066313 (rookie)\n",
"Bennacer 0.0\n",
- "Klaassen 0.0 (rookie)\n",
+ "Duda 0.7794871794871795\n",
"Castrovilli 0.0\n",
- "Miranchuk 0.0\n",
- "Matheus Henrique 0.29230769230769227\n",
- "De Ketelaere 0.28774038461538465\n",
- "Cataldi 0.3023872679045092\n",
+ "Mckennie 0.5567765567765568 (two seasons ago)\n",
+ "Miranchuk 0.10583554376657825\n",
+ "Matheus Henrique 0.38974358974358975\n",
+ "De Ketelaere 0.3836538461538462\n",
+ "Paredes 0.4910769230769231\n",
"Sottil 0.4871794871794871\n",
- "Duda 0.5846153846153845\n",
- "Thorsby 0.2630769230769231 (two seasons ago)\n",
- "Nandez 0.279020979020979 (rookie)\n",
- "Tameze 0.08295218295218296\n",
+ "Klaassen 0.0 (rookie)\n",
+ "Thorsby 0.3507692307692308 (two seasons ago)\n",
+ "Nandez 0.37202797202797205 (rookie)\n",
+ "Tameze 0.1659043659043659\n",
"Marin 0.2657342657342657\n",
"Messias 0.0\n",
- "Mckennie 0.4175824175824175 (two seasons ago)\n",
- "Zalewski 0.2657342657342657\n",
"Coulibaly L. 0.08351648351648353\n",
- "Harroui 0.4003344481605351\n",
- "Krunic 0.38127090301003336\n",
- "Paredes 0.3683076923076923\n",
- "Freuler 0.0 (rookie)\n",
- "Gagliardini 0.4846153846153846\n",
- "Kastanos 0.31318681318681313\n",
- "Lopez M. 0.20461538461538462\n",
+ "Krunic 0.5083612040133779\n",
+ "Cataldi 0.40318302387267907\n",
+ "Strootman 0.3069230769230769 (rookie)\n",
+ "Duncan 0.35076923076923067\n",
+ "Freuler 0.10961538461538463 (rookie)\n",
+ "Gagliardini 0.6461538461538462\n",
+ "Kastanos 0.41758241758241765\n",
"Gyasi 0.2630769230769231\n",
- "Frendrup 0.24885654885654884 (rookie)\n",
- "Moro N. 0.3372781065088757\n",
+ "Zalewski 0.2657342657342657\n",
+ "Harroui 0.4003344481605351\n",
+ "Frendrup 0.3318087318087318 (rookie)\n",
+ "Blin 0.3340659340659341\n",
+ "Fabbian 0.2557692307692308 (rookie)\n",
"Vecino 0.1826923076923077\n",
- "Strootman 0.20461538461538462 (rookie)\n",
- "Duncan 0.23384615384615384\n",
- "Machin 0.0\n",
"Sensi 0.10961538461538463\n",
- "Linetty 0.2740384615384615\n",
- "Walace 0.23700623700623696\n",
- "Pobega 0.3076923076923077\n",
- "Bove 0.26573426573426573\n",
- "Aebischer 0.2740384615384615\n",
- "Thorstvedt 0.2828784119106699\n",
- "Blin 0.2505494505494505\n",
+ "Walace 0.316008316008316\n",
+ "Lopez M. 0.20461538461538462\n",
+ "Bove 0.39860139860139854\n",
+ "Aebischer 0.3653846153846154\n",
+ "Thorstvedt 0.3771712158808933\n",
"Gonzalez J. 0.2505494505494505\n",
+ "Moro N. 0.44970414201183434\n",
"Oudin 0.0\n",
- "Fabbian 0.17051282051282055 (rookie)\n",
- "Grassi 0.23384615384615384\n",
- "Badelj 0.25791855203619907 (two seasons ago)\n",
- "Castillejo 0.0 (rookie)\n",
- "Hongla 0.4871794871794871 (two seasons ago)\n",
- "Miretti 0.21652421652421655\n",
- "Fazzini 0.2783882783882784\n",
- "Makoumbou 0.2557692307692308 (rookie)\n",
- "Baez 0.5416289592760181 (rookie)\n",
- "Deiola 0.2657342657342657 (two seasons ago)\n",
+ "Makoumbou 0.3410256410256411 (rookie)\n",
+ "Badelj 0.3438914027149321 (two seasons ago)\n",
+ "Machin 0.0\n",
+ "Linetty 0.3653846153846154\n",
+ "Castillejo 0.12276923076923077 (rookie)\n",
+ "Rovella 0.12276923076923077\n",
+ "Pobega 0.3076923076923077\n",
+ "Hongla 0.6495726495726496 (two seasons ago)\n",
+ "Miretti 0.32478632478632474\n",
+ "Fazzini 0.4175824175824175\n",
+ "Grassi 0.35076923076923067\n",
+ "Baez 0.7221719457013575 (rookie)\n",
+ "Deiola 0.3543123543123543 (two seasons ago)\n",
"Bourabia 0.0\n",
- "Rovella 0.0\n",
"Saelemaekers 0.0\n",
"Maldini 0.0\n",
"Kovalenko 0.17051282051282055\n",
- "Maleh 0.18054298642533936\n",
- "Bohinen 0.2435897435897436\n",
+ "Maleh 0.3610859728506787\n",
+ "Bohinen 0.36538461538461536\n",
"Ranocchia F. 0.0\n",
- "Adopo 0.3410256410256411\n",
- "Maggiore 0.1826923076923077\n",
+ "Folorunsho 0.45470085470085475 (rookie)\n",
+ "Adopo 0.6820512820512822\n",
"Romero L. 0.0\n",
"Basic 0.0\n",
- "Asllani 0.14615384615384616\n",
+ "Asllani 0.2923076923076923\n",
"Sulemana I. 0.5754807692307693\n",
- "Folorunsho 0.34102564102564104 (rookie)\n",
"Gaetano 0.0\n",
"Obiang 0.0\n",
+ "Maggiore 0.1826923076923077\n",
"Akpa Akpro 0.0\n",
"Akpa Akpro 0.0 (two seasons ago)\n",
"Urbanski 1\n",
@@ -3988,139 +3989,140 @@
"Volpato 1 (two seasons ago)\n",
"Vignato S. 1\n",
"Hrustic 0.0\n",
- "Viola 0.0 (two seasons ago)\n",
- "Rog 0.0 (two seasons ago)\n",
- "Nicolussi Caviglia 0.0\n",
- "Demme 0.0\n",
- "Pafundi 0.0\n",
- "Adli 0.0\n",
- "Zerbin 0.0\n",
- "Carboni V. 1\n",
- "Faticanti 0.0\n",
- "Osimhen 0.2740384615384615\n",
- "Martinez L. 0.23076923076923073\n",
- "Rafael Leao 0.2505494505494505\n",
- "Immobile 0.2828784119106699\n",
- "Berardi 0.11242603550295859\n",
- "Lukaku 0.12276923076923077\n",
- "Kvaratskhelia 0.17194570135746606\n",
- "Dybala 0.11692307692307692\n",
- "Vlahovic 0.32478632478632474\n",
- "Giroud 0.2657342657342657\n",
- "Scamacca 0.2557692307692308 (two seasons ago)\n",
- "Dia 0.17715617715617715\n",
- "Thuram 0.3069230769230769 (rookie)\n",
- "Lookman 0.2828784119106699\n",
- "Sanabria 0.17715617715617715\n",
- "Arnautovic 0.4384615384615384\n",
- "Retegui 0.4384615384615384 (rookie)\n",
- "Nzola 0.29702233250620347\n",
- "Lauriente' 0.31318681318681313\n",
- "Zapata D. 0.12276923076923077\n",
- "Chiesa 0.4175824175824175\n",
- "Milik 0.32478632478632474\n",
- "Gonzalez N. 0.36538461538461536\n",
- "Beltran L. 0.3683076923076923 (rookie)\n",
- "Lapadula 0.0 (rookie)\n",
- "Caprari 0.23700623700623696\n",
- "Sanchez 0.0 (rookie)\n",
- "Abraham 0.0\n",
- "Caputo 0.4175824175824175\n",
- "Ngonge 0.6263736263736263\n",
- "Muriel 0.20159151193633953\n",
- "Pinamonti 0.2740384615384615\n",
- "Deulofeu 0.0\n",
- "Jovic 0.0\n",
- "Zirkzee 0.46153846153846145\n",
- "Petagna 0.0990074441687345\n",
- "Belotti 0.2828784119106699\n",
- "Simeone 0.35076923076923067\n",
- "Cambiaghi 0.20879120879120883\n"
+ "Viola 0.0 (two seasons ago)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Shomurodov 0.6138461538461538\n",
- "Azmoun 0.0 (rookie)\n",
- "Thauvin 0.548076923076923\n",
- "Pedro 0.1623931623931624\n",
+ "Rog 0.0 (two seasons ago)\n",
+ "Nicolussi Caviglia 0.0\n",
+ "Demme 0.0\n",
+ "Pafundi 0.0\n",
+ "Adli 0.0\n",
+ "Zerbin 0.2923076923076923\n",
+ "Carboni V. 1\n",
+ "Faticanti 0.0\n",
+ "Osimhen 0.3653846153846154\n",
+ "Martinez L. 0.3076923076923077\n",
+ "Rafael Leao 0.3340659340659341\n",
+ "Lukaku 0.24553846153846154\n",
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+ "Immobile 0.3771712158808933\n",
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+ "Dybala 0.23384615384615384\n",
+ "Kvaratskhelia 0.25791855203619907\n",
+ "Giroud 0.3543123543123543\n",
+ "Scamacca 0.3410256410256411 (two seasons ago)\n",
+ "Thuram 0.40923076923076923 (rookie)\n",
+ "Lookman 0.3771712158808933\n",
+ "Dia 0.17715617715617715\n",
+ "Arnautovic 0.5846153846153845\n",
+ "Retegui 0.5846153846153845 (rookie)\n",
+ "Sanabria 0.17715617715617715\n",
+ "Nzola 0.396029776674938\n",
+ "Lauriente' 0.41758241758241765\n",
+ "Zapata D. 0.24553846153846154\n",
+ "Chiesa 0.5567765567765568\n",
+ "Milik 0.4330484330484331\n",
+ "Gonzalez N. 0.4871794871794872\n",
+ "Pinamonti 0.3653846153846154\n",
+ "Beltran L. 0.4910769230769231 (rookie)\n",
+ "Caprari 0.316008316008316\n",
+ "Sanchez 0.0 (rookie)\n",
+ "Caputo 0.5567765567765568\n",
+ "Belotti 0.3771712158808933\n",
+ "Muriel 0.20159151193633953\n",
+ "Lapadula 0.0 (rookie)\n",
+ "Jovic 0.0990074441687345\n",
+ "Abraham 0.0\n",
+ "Zirkzee 0.6153846153846154\n",
+ "Ngonge 0.8351648351648353\n",
+ "Petagna 0.0990074441687345\n",
+ "Simeone 0.35076923076923067\n",
+ "Deulofeu 0.0\n",
+ "Pedro 0.24358974358974356\n",
+ "Shomurodov 0.8184615384615385\n",
+ "Shomurodov 0.6573550295857988 (two seasons ago)\n",
+ "Azmoun 0.13344481605351172 (rookie)\n",
+ "Cheddira 0.29702233250620347 (rookie)\n",
+ "Karlsson 0.4003344481605351 (rookie)\n",
"Brekalo 1\n",
- "Brekalo 0.28774038461538465 (two seasons ago)\n",
+ "Brekalo 0.3836538461538462 (two seasons ago)\n",
+ "Cambiaghi 0.31318681318681313\n",
"Henry 0.0\n",
- "Mulattieri 0.3175066312997347 (rookie)\n",
- "Karlsson 0.26688963210702343 (rookie)\n",
- "Kean 0.10439560439560441\n",
- "Karamoh 0.2783882783882784\n",
- "Djuric 0.31318681318681313\n",
- "Mota 0.3023872679045092\n",
- "Cheddira 0.198014888337469 (rookie)\n",
- "Defrel 0.10826210826210828\n",
- "Raspadori 0.35076923076923067\n",
- "Colombo 0.09300699300699301\n",
+ "Mulattieri 0.423342175066313 (rookie)\n",
+ "Kean 0.20879120879120883\n",
+ "Karamoh 0.4175824175824175\n",
+ "Thauvin 0.7307692307692308\n",
+ "Kouame' 0.31318681318681313\n",
+ "Raspadori 0.4676923076923077\n",
+ "Colombo 0.18601398601398603\n",
"Luvumbo 0.0 (rookie)\n",
- "Banda 0.24358974358974356\n",
- "Bonazzoli 0.3836538461538462\n",
- "Pellegri 0.4871794871794871\n",
- "Kouame' 0.20879120879120883\n",
- "Piccoli 0.23609467455621302\n",
+ "Mota 0.40318302387267907\n",
+ "Bonazzoli 0.5115384615384616\n",
+ "Djuric 0.41758241758241765\n",
+ "Banda 0.3247863247863248\n",
+ "Defrel 0.10826210826210828\n",
+ "Sansone 0.0\n",
+ "Pellegri 0.6495726495726496\n",
+ "Piccoli 0.47218934911242605\n",
"Success 0.29230769230769227\n",
- "Botheim 0.31318681318681313\n",
- "Lucca 0.6576923076923077 (rookie)\n",
- "Caso 0.1753846153846154 (rookie)\n",
- "Cancellieri 0.4603846153846154\n",
+ "Botheim 0.41758241758241765\n",
+ "Lucca 0.876923076923077 (rookie)\n",
+ "Caso 0.2630769230769231 (rookie)\n",
"Jovane 0.0 (two seasons ago)\n",
- "Pavoletti 0.26688963210702343 (rookie)\n",
- "Soule' 0.23609467455621302\n",
+ "Soule' 0.47218934911242605\n",
+ "Pavoletti 0.4003344481605351 (rookie)\n",
+ "Cancellieri 0.6138461538461539\n",
+ "Seck 0.3076923076923077\n",
"Alvarez A. 0.0\n",
"Ekuban 0.29230769230769227 (two seasons ago)\n",
- "Seck 0.15384615384615385\n",
- "Destro 0.17194570135746606\n",
- "Ceide 0.3076923076923077\n",
+ "Destro 0.3438914027149321\n",
+ "Ceide 0.46153846153846145\n",
"Ake' M. 0.0 (two seasons ago)\n",
"Braaf 0.0\n",
"Kallon 0.0\n",
"Kaio Jorge 0.0\n",
"Kaio Jorge 0.0 (two seasons ago)\n",
- "Valencia D. 0.0\n",
"Vivaldo 0.0\n",
"Players with low quantity of games:\n",
"Natan 0.0\n",
- "Kamara H. 0.5\n",
- "Llorente D. 0.5256410256410258\n",
+ "Llorente D. 0.6666666666666667\n",
+ "Kamara H. 0.6666666666666667\n",
+ "Pongracic 0.6666666666666667\n",
+ "Wieteska 0.33333333333333337\n",
+ "Lirola 0.16666666666666663\n",
+ "Kabasele 0.6666666666666667\n",
+ "Obert 0.5\n",
"Zemura 0.5\n",
- "Wieteska 0.16666666666666663\n",
- "Kabasele 0.5\n",
- "Monterisi 0.7172494172494173\n",
- "Pongracic 0.5256410256410258\n",
- "Obert 0.3504273504273504\n",
- "Tressoldi 0.0\n",
- "Hatzidiakos 0.0\n",
- "Calafiori 0.5\n",
- "Vogliacco 0.0\n",
- "Lirola 0.0\n",
+ "Hatzidiakos 0.16666666666666663\n",
"Carboni A. 0.33333333333333337\n",
- "Di Pardo 0.5\n",
- "Ostigard 0.4706959706959706\n",
+ "Calafiori 0.16666666666666663\n",
+ "Monterisi 0.6666666666666667\n",
+ "Tressoldi 0.0\n",
+ "Vogliacco 0.0\n",
+ "Di Pardo 0.6666666666666667\n",
+ "Ostigard 0.5\n",
"Bisseck 0.16666666666666663\n",
- "Dorgu 0.5\n",
- "Touba 0.0\n",
+ "Oyono 0.6666666666666667\n",
+ "Ferreira J. 0.6666666666666667\n",
+ "Dorgu 0.6666666666666667\n",
+ "Touba 0.16666666666666663\n",
"Sazonov 0.0\n",
+ "Pereira P. 0.5\n",
"Cittadini 0.0\n",
+ "Guessand A. 0.16666666666666663\n",
"Missori 0.16666666666666663\n",
"Kayode 0.16666666666666663\n",
- "Oyono 0.5\n",
- "Ferreira J. 0.5\n",
"Corazza 0.33333333333333337\n",
"Kristensen T. 0.0\n",
"Dermaku 0.16666666666666663\n",
"Capradossi 0.0\n",
- "Pereira P. 0.33333333333333337\n",
"Bettella 0.0\n",
"Amey 0.0\n",
"Gila 0.6666666666666667\n",
- "Guessand A. 0.16666666666666663\n",
"Guarino 0.0\n",
"Carboni F. 0.33333333333333337\n",
"Smajlovic 0.0\n",
@@ -4132,37 +4134,39 @@
"Huijsen 0.0\n",
"Bonfanti 0.0\n",
"Pellegrino 0.0\n",
+ "Comuzzo 0.0\n",
"Pogba 0.3504273504273504\n",
- "Ndoye 0.5\n",
- "Musah 0.16666666666666663\n",
+ "Ndoye 0.6666666666666667\n",
"Mboula 0.5\n",
+ "Arthur Melo 0.6666666666666667\n",
+ "Musah 0.33333333333333337\n",
+ "Mazzitelli 0.6666666666666667\n",
"Jankto 0.5\n",
- "Arthur Melo 0.5\n",
"Reinier 0.0\n",
- "Ramadani 0.5\n",
- "Mancosu 0.0\n",
- "Machin 0.0\n",
- "Brescianini 0.33333333333333337\n",
- "Rafia 0.5\n",
+ "Ramadani 0.6666666666666667\n",
"Cajuste 0.0\n",
- "Kaba 0.5\n",
- "Mazzitelli 0.5\n",
+ "Mancosu 0.0\n",
+ "Brescianini 0.5\n",
+ "Boloca 0.5\n",
+ "Rafia 0.6666666666666667\n",
+ "Kaba 0.6666666666666667\n",
+ "Machin 0.0\n",
"Iling Junior 0.0\n",
"Oristanio 0.5\n",
- "Boloca 0.33333333333333337\n",
- "Martegani 0.33333333333333337\n",
- "Serdar 0.33333333333333337\n",
- "Payero 0.0\n",
+ "Serdar 0.5\n",
+ "Payero 0.16666666666666663\n",
+ "Garritano 0.5\n",
"Racic 0.33333333333333337\n",
"Infantino 0.5\n",
+ "Martegani 0.5\n",
"Kutlu 0.16666666666666663\n",
"Tchatchoua 0.0\n",
- "Garritano 0.33333333333333337\n",
"Quina 0.33333333333333337\n",
- "Tchaouna 0.16666666666666663\n",
- "Barrenechea 0.5\n",
- "Gelli 0.5\n",
- "Suslov 0.0\n",
+ "Adopo 0.7042735042735042\n",
+ "Tchaouna 0.33333333333333337\n",
+ "Barrenechea 0.6666666666666667\n",
+ "Gelli 0.6666666666666667\n",
+ "Suslov 0.16666666666666663\n",
"Jagiello 0.0\n",
"Akpa Akpro 0.0\n",
"Urbanski 0.33333333333333337\n",
@@ -4171,37 +4175,41 @@
"Zarraga 0.33333333333333337\n",
"Camara E. 0.0\n",
"Amatucci 0.16666666666666663\n",
+ "Pagano 0.5\n",
+ "Prati 0.16666666666666663\n",
"Lulic K. 0.0\n",
"Bondo 0.16666666666666663\n",
"Carboni V. 0.33333333333333337\n",
"Faticanti 0.0\n",
- "Gineitis 0.0\n",
+ "Gineitis 0.16666666666666663\n",
"Belardinelli 0.0\n",
"El Azzouzi 0.5\n",
"Lipani 0.0\n",
"Joselito 0.0\n",
- "Pagano 0.33333333333333337\n",
"Legowski 0.0\n",
- "Prati 0.0\n",
- "Okafor 0.5\n",
+ "Ibrahimovic A. 0.0\n",
+ "Okafor 0.6666666666666667\n",
"Toure' E. 0.0\n",
- "Krstovic 0.33333333333333337\n",
- "Castellanos 0.5\n",
- "Almqvist 0.5\n",
+ "Krstovic 0.5\n",
+ "Ngonge 0.9413919413919412\n",
+ "Castellanos 0.6666666666666667\n",
+ "Almqvist 0.6666666666666667\n",
"Isaksen 0.5\n",
- "Davis K. 0.0\n",
"Brenner 0.0\n",
+ "Davis K. 0.0\n",
+ "Lucca 0.8717948717948717\n",
"Jovane 0.0\n",
"Cuni 0.5\n",
- "Kvernadze 0.16666666666666663\n",
+ "Maric 0.5\n",
+ "Cruz 0.0\n",
"Van Hooijdonk 0.16666666666666663\n",
- "Maric 0.33333333333333337\n",
- "Shpendi S. 0.33333333333333337\n",
- "Ikwuemesi 0.33333333333333337\n",
+ "Kvernadze 0.16666666666666663\n",
+ "Ikwuemesi 0.5\n",
"Puscas 0.0\n",
"Ake' M. 0.6666666666666667\n",
"Vivaldo 0.0\n",
"Bidaoui 0.0\n",
+ "Shpendi S. 0.5\n",
"Burnete 0.16666666666666663\n",
"Corfitzen 0.0\n",
"Stewart 0.0\n",
@@ -4304,7 +4312,7 @@
"\n",
"# mean players stats based on old season\n",
"\n",
- "mean_players_stats = players_old.loc[players_orig.index[0]][cols_toadapt] * 0\n",
+ "mean_players_stats = players_orig.loc[players_orig.index[0]][cols_toadapt] * 0\n",
"count = 0\n",
"\n",
"for i in range(players_old.shape[0]):\n",
@@ -4839,10 +4847,39 @@
"execution_count": 22,
"id": "8aad9652",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch 1/1000\n",
+ "94/94 [==============================] - 4s 9ms/step - loss: 2.1251 - distribution_lambda_loss: 0.8284 - distribution_lambda_1_loss: 1.2967 - val_loss: 2.0962 - val_distribution_lambda_loss: 0.8157 - val_distribution_lambda_1_loss: 1.2804\n",
+ "Epoch 2/1000\n",
+ "94/94 [==============================] - 0s 3ms/step - loss: 2.1244 - distribution_lambda_loss: 0.8284 - distribution_lambda_1_loss: 1.2960 - val_loss: 2.1000 - val_distribution_lambda_loss: 0.8174 - val_distribution_lambda_1_loss: 1.2826\n",
+ "Epoch 3/1000\n",
+ "94/94 [==============================] - 0s 3ms/step - loss: 2.1246 - distribution_lambda_loss: 0.8271 - distribution_lambda_1_loss: 1.2976 - val_loss: 2.1027 - val_distribution_lambda_loss: 0.8194 - val_distribution_lambda_1_loss: 1.2832\n",
+ "Epoch 4/1000\n",
+ "94/94 [==============================] - 0s 3ms/step - loss: 2.1244 - distribution_lambda_loss: 0.8265 - distribution_lambda_1_loss: 1.2978 - val_loss: 2.1046 - val_distribution_lambda_loss: 0.8192 - val_distribution_lambda_1_loss: 1.2854\n",
+ "Epoch 5/1000\n",
+ "94/94 [==============================] - 0s 3ms/step - loss: 2.1229 - distribution_lambda_loss: 0.8260 - distribution_lambda_1_loss: 1.2969 - val_loss: 2.1029 - val_distribution_lambda_loss: 0.8188 - val_distribution_lambda_1_loss: 1.2841\n",
+ "Epoch 6/1000\n",
+ "94/94 [==============================] - 0s 3ms/step - loss: 2.1190 - distribution_lambda_loss: 0.8258 - distribution_lambda_1_loss: 1.2932 - val_loss: 2.1034 - val_distribution_lambda_loss: 0.8197 - val_distribution_lambda_1_loss: 1.2837\n",
+ "Epoch 7/1000\n",
+ "94/94 [==============================] - 0s 3ms/step - loss: 2.1207 - distribution_lambda_loss: 0.8258 - distribution_lambda_1_loss: 1.2949 - val_loss: 2.1039 - val_distribution_lambda_loss: 0.8194 - val_distribution_lambda_1_loss: 1.2845\n",
+ "Epoch 8/1000\n",
+ "94/94 [==============================] - 0s 3ms/step - loss: 2.1272 - distribution_lambda_loss: 0.8285 - distribution_lambda_1_loss: 1.2987 - val_loss: 2.1043 - val_distribution_lambda_loss: 0.8193 - val_distribution_lambda_1_loss: 1.2851\n",
+ "Epoch 9/1000\n",
+ "94/94 [==============================] - 0s 3ms/step - loss: 2.1213 - distribution_lambda_loss: 0.8262 - distribution_lambda_1_loss: 1.2951 - val_loss: 2.1100 - val_distribution_lambda_loss: 0.8225 - val_distribution_lambda_1_loss: 1.2874\n",
+ "Epoch 10/1000\n",
+ "94/94 [==============================] - 0s 3ms/step - loss: 2.1201 - distribution_lambda_loss: 0.8256 - distribution_lambda_1_loss: 1.2945 - val_loss: 2.1039 - val_distribution_lambda_loss: 0.8196 - val_distribution_lambda_1_loss: 1.2843\n",
+ "Epoch 11/1000\n",
+ "94/94 [==============================] - 0s 2ms/step - loss: 2.1259 - distribution_lambda_loss: 0.8294 - distribution_lambda_1_loss: 1.2965 - val_loss: 2.1056 - val_distribution_lambda_loss: 0.8199 - val_distribution_lambda_1_loss: 1.2857\n"
+ ]
+ }
+ ],
"source": [
"load_model_of = True# load scaler and model weights for outfield player predictor\n",
- "refit_model_of = False\n",
+ "refit_model_of = True\n",
"\n",
"if(load_model_of):\n",
" scaler = pickle.load(open('saves/scaler.pkl', 'rb'))\n",
@@ -4930,7 +4967,7 @@
},
{
"cell_type": "code",
- "execution_count": 22,
+ "execution_count": 24,
"id": "c2674211",
"metadata": {},
"outputs": [
@@ -4938,13 +4975,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "0.14119796895209447\n",
- "0.16628630402642608\n"
+ "0.14232313843838407\n",
+ "0.16748424431848907\n"
]
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -4956,13 +4993,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "0.12115597123709632\n",
- "0.15401380855251512\n"
+ "0.13031966791602223\n",
+ "0.15463784705801664\n"
]
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -5009,13 +5046,134 @@
},
{
"cell_type": "code",
- "execution_count": 24,
+ "execution_count": 25,
"id": "41e7e1ee",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch 1/2500\n",
+ "15/15 [==============================] - 4s 51ms/step - loss: 2.9275 - distribution_lambda_2_loss: 0.8261 - distribution_lambda_3_loss: 1.6128 - distribution_lambda_4_loss: 0.4886 - val_loss: 2.7835 - val_distribution_lambda_2_loss: 0.7798 - val_distribution_lambda_3_loss: 1.5644 - val_distribution_lambda_4_loss: 0.4393\n",
+ "Epoch 2/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.9398 - distribution_lambda_2_loss: 0.8407 - distribution_lambda_3_loss: 1.6118 - distribution_lambda_4_loss: 0.4873 - val_loss: 2.7933 - val_distribution_lambda_2_loss: 0.7822 - val_distribution_lambda_3_loss: 1.5676 - val_distribution_lambda_4_loss: 0.4435\n",
+ "Epoch 3/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8995 - distribution_lambda_2_loss: 0.8200 - distribution_lambda_3_loss: 1.6036 - distribution_lambda_4_loss: 0.4760 - val_loss: 2.7982 - val_distribution_lambda_2_loss: 0.7802 - val_distribution_lambda_3_loss: 1.5689 - val_distribution_lambda_4_loss: 0.4491\n",
+ "Epoch 4/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.9054 - distribution_lambda_2_loss: 0.8196 - distribution_lambda_3_loss: 1.6055 - distribution_lambda_4_loss: 0.4804 - val_loss: 2.8042 - val_distribution_lambda_2_loss: 0.7834 - val_distribution_lambda_3_loss: 1.5700 - val_distribution_lambda_4_loss: 0.4508\n",
+ "Epoch 5/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.9168 - distribution_lambda_2_loss: 0.8201 - distribution_lambda_3_loss: 1.6161 - distribution_lambda_4_loss: 0.4807 - val_loss: 2.7965 - val_distribution_lambda_2_loss: 0.7780 - val_distribution_lambda_3_loss: 1.5696 - val_distribution_lambda_4_loss: 0.4489\n",
+ "Epoch 6/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8967 - distribution_lambda_2_loss: 0.8326 - distribution_lambda_3_loss: 1.5927 - distribution_lambda_4_loss: 0.4714 - val_loss: 2.7991 - val_distribution_lambda_2_loss: 0.7770 - val_distribution_lambda_3_loss: 1.5737 - val_distribution_lambda_4_loss: 0.4484\n",
+ "Epoch 7/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8951 - distribution_lambda_2_loss: 0.8099 - distribution_lambda_3_loss: 1.6034 - distribution_lambda_4_loss: 0.4818 - val_loss: 2.8080 - val_distribution_lambda_2_loss: 0.7777 - val_distribution_lambda_3_loss: 1.5762 - val_distribution_lambda_4_loss: 0.4541\n",
+ "Epoch 8/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.9125 - distribution_lambda_2_loss: 0.8264 - distribution_lambda_3_loss: 1.6079 - distribution_lambda_4_loss: 0.4782 - val_loss: 2.8074 - val_distribution_lambda_2_loss: 0.7834 - val_distribution_lambda_3_loss: 1.5742 - val_distribution_lambda_4_loss: 0.4498\n",
+ "Epoch 9/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8867 - distribution_lambda_2_loss: 0.8113 - distribution_lambda_3_loss: 1.5974 - distribution_lambda_4_loss: 0.4780 - val_loss: 2.8066 - val_distribution_lambda_2_loss: 0.7811 - val_distribution_lambda_3_loss: 1.5766 - val_distribution_lambda_4_loss: 0.4490\n",
+ "Epoch 10/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8712 - distribution_lambda_2_loss: 0.8028 - distribution_lambda_3_loss: 1.5997 - distribution_lambda_4_loss: 0.4687 - val_loss: 2.8086 - val_distribution_lambda_2_loss: 0.7787 - val_distribution_lambda_3_loss: 1.5787 - val_distribution_lambda_4_loss: 0.4511\n",
+ "Epoch 11/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.9127 - distribution_lambda_2_loss: 0.8165 - distribution_lambda_3_loss: 1.6108 - distribution_lambda_4_loss: 0.4854 - val_loss: 2.8124 - val_distribution_lambda_2_loss: 0.7841 - val_distribution_lambda_3_loss: 1.5808 - val_distribution_lambda_4_loss: 0.4475\n",
+ "Epoch 12/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.9059 - distribution_lambda_2_loss: 0.8270 - distribution_lambda_3_loss: 1.6054 - distribution_lambda_4_loss: 0.4735 - val_loss: 2.8026 - val_distribution_lambda_2_loss: 0.7713 - val_distribution_lambda_3_loss: 1.5797 - val_distribution_lambda_4_loss: 0.4517\n",
+ "Epoch 13/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8937 - distribution_lambda_2_loss: 0.8163 - distribution_lambda_3_loss: 1.6020 - distribution_lambda_4_loss: 0.4754 - val_loss: 2.8178 - val_distribution_lambda_2_loss: 0.7823 - val_distribution_lambda_3_loss: 1.5816 - val_distribution_lambda_4_loss: 0.4539\n",
+ "Epoch 14/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8806 - distribution_lambda_2_loss: 0.8093 - distribution_lambda_3_loss: 1.5959 - distribution_lambda_4_loss: 0.4754 - val_loss: 2.8069 - val_distribution_lambda_2_loss: 0.7735 - val_distribution_lambda_3_loss: 1.5803 - val_distribution_lambda_4_loss: 0.4531\n",
+ "Epoch 15/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8728 - distribution_lambda_2_loss: 0.8181 - distribution_lambda_3_loss: 1.5915 - distribution_lambda_4_loss: 0.4632 - val_loss: 2.8039 - val_distribution_lambda_2_loss: 0.7744 - val_distribution_lambda_3_loss: 1.5786 - val_distribution_lambda_4_loss: 0.4509\n",
+ "Epoch 16/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8969 - distribution_lambda_2_loss: 0.8197 - distribution_lambda_3_loss: 1.5983 - distribution_lambda_4_loss: 0.4789 - val_loss: 2.8080 - val_distribution_lambda_2_loss: 0.7764 - val_distribution_lambda_3_loss: 1.5797 - val_distribution_lambda_4_loss: 0.4519\n",
+ "Epoch 17/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8951 - distribution_lambda_2_loss: 0.8161 - distribution_lambda_3_loss: 1.6007 - distribution_lambda_4_loss: 0.4783 - val_loss: 2.8087 - val_distribution_lambda_2_loss: 0.7763 - val_distribution_lambda_3_loss: 1.5806 - val_distribution_lambda_4_loss: 0.4518\n",
+ "Epoch 18/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8803 - distribution_lambda_2_loss: 0.8058 - distribution_lambda_3_loss: 1.5970 - distribution_lambda_4_loss: 0.4774 - val_loss: 2.8104 - val_distribution_lambda_2_loss: 0.7768 - val_distribution_lambda_3_loss: 1.5797 - val_distribution_lambda_4_loss: 0.4539\n",
+ "Epoch 19/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8779 - distribution_lambda_2_loss: 0.8111 - distribution_lambda_3_loss: 1.6012 - distribution_lambda_4_loss: 0.4656 - val_loss: 2.7999 - val_distribution_lambda_2_loss: 0.7697 - val_distribution_lambda_3_loss: 1.5788 - val_distribution_lambda_4_loss: 0.4513\n",
+ "Epoch 20/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8865 - distribution_lambda_2_loss: 0.8202 - distribution_lambda_3_loss: 1.5970 - distribution_lambda_4_loss: 0.4693 - val_loss: 2.8108 - val_distribution_lambda_2_loss: 0.7783 - val_distribution_lambda_3_loss: 1.5813 - val_distribution_lambda_4_loss: 0.4511\n",
+ "Epoch 21/2500\n",
+ "15/15 [==============================] - 0s 5ms/step - loss: 2.8933 - distribution_lambda_2_loss: 0.8156 - distribution_lambda_3_loss: 1.5962 - distribution_lambda_4_loss: 0.4815 - val_loss: 2.8156 - val_distribution_lambda_2_loss: 0.7794 - val_distribution_lambda_3_loss: 1.5805 - val_distribution_lambda_4_loss: 0.4557\n",
+ "Epoch 22/2500\n",
+ "15/15 [==============================] - 0s 5ms/step - loss: 2.8945 - distribution_lambda_2_loss: 0.8244 - distribution_lambda_3_loss: 1.5988 - distribution_lambda_4_loss: 0.4713 - val_loss: 2.8139 - val_distribution_lambda_2_loss: 0.7768 - val_distribution_lambda_3_loss: 1.5813 - val_distribution_lambda_4_loss: 0.4558\n",
+ "Epoch 23/2500\n",
+ "15/15 [==============================] - 0s 5ms/step - loss: 2.8835 - distribution_lambda_2_loss: 0.8139 - distribution_lambda_3_loss: 1.5927 - distribution_lambda_4_loss: 0.4769 - val_loss: 2.8132 - val_distribution_lambda_2_loss: 0.7755 - val_distribution_lambda_3_loss: 1.5811 - val_distribution_lambda_4_loss: 0.4566\n",
+ "Epoch 24/2500\n",
+ "15/15 [==============================] - 0s 5ms/step - loss: 2.8906 - distribution_lambda_2_loss: 0.8175 - distribution_lambda_3_loss: 1.6028 - distribution_lambda_4_loss: 0.4702 - val_loss: 2.8118 - val_distribution_lambda_2_loss: 0.7749 - val_distribution_lambda_3_loss: 1.5813 - val_distribution_lambda_4_loss: 0.4556\n",
+ "Epoch 25/2500\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8800 - distribution_lambda_2_loss: 0.8125 - distribution_lambda_3_loss: 1.5979 - distribution_lambda_4_loss: 0.4696 - val_loss: 2.8146 - val_distribution_lambda_2_loss: 0.7762 - val_distribution_lambda_3_loss: 1.5850 - val_distribution_lambda_4_loss: 0.4534\n",
+ "Epoch 26/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8830 - distribution_lambda_2_loss: 0.8167 - distribution_lambda_3_loss: 1.5947 - distribution_lambda_4_loss: 0.4716 - val_loss: 2.8205 - val_distribution_lambda_2_loss: 0.7832 - val_distribution_lambda_3_loss: 1.5836 - val_distribution_lambda_4_loss: 0.4537\n",
+ "Epoch 27/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8630 - distribution_lambda_2_loss: 0.7963 - distribution_lambda_3_loss: 1.5963 - distribution_lambda_4_loss: 0.4704 - val_loss: 2.8112 - val_distribution_lambda_2_loss: 0.7702 - val_distribution_lambda_3_loss: 1.5849 - val_distribution_lambda_4_loss: 0.4561\n",
+ "Epoch 28/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8747 - distribution_lambda_2_loss: 0.8128 - distribution_lambda_3_loss: 1.5955 - distribution_lambda_4_loss: 0.4665 - val_loss: 2.8163 - val_distribution_lambda_2_loss: 0.7784 - val_distribution_lambda_3_loss: 1.5838 - val_distribution_lambda_4_loss: 0.4540\n",
+ "Epoch 29/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8714 - distribution_lambda_2_loss: 0.8077 - distribution_lambda_3_loss: 1.5945 - distribution_lambda_4_loss: 0.4692 - val_loss: 2.8034 - val_distribution_lambda_2_loss: 0.7677 - val_distribution_lambda_3_loss: 1.5822 - val_distribution_lambda_4_loss: 0.4535\n",
+ "Epoch 30/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8645 - distribution_lambda_2_loss: 0.8020 - distribution_lambda_3_loss: 1.5902 - distribution_lambda_4_loss: 0.4724 - val_loss: 2.8095 - val_distribution_lambda_2_loss: 0.7751 - val_distribution_lambda_3_loss: 1.5803 - val_distribution_lambda_4_loss: 0.4541\n",
+ "Epoch 31/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8748 - distribution_lambda_2_loss: 0.8146 - distribution_lambda_3_loss: 1.5964 - distribution_lambda_4_loss: 0.4638 - val_loss: 2.8157 - val_distribution_lambda_2_loss: 0.7783 - val_distribution_lambda_3_loss: 1.5839 - val_distribution_lambda_4_loss: 0.4535\n",
+ "Epoch 32/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8871 - distribution_lambda_2_loss: 0.8140 - distribution_lambda_3_loss: 1.5991 - distribution_lambda_4_loss: 0.4740 - val_loss: 2.8063 - val_distribution_lambda_2_loss: 0.7710 - val_distribution_lambda_3_loss: 1.5826 - val_distribution_lambda_4_loss: 0.4526\n",
+ "Epoch 33/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8908 - distribution_lambda_2_loss: 0.8087 - distribution_lambda_3_loss: 1.5981 - distribution_lambda_4_loss: 0.4841 - val_loss: 2.8009 - val_distribution_lambda_2_loss: 0.7669 - val_distribution_lambda_3_loss: 1.5807 - val_distribution_lambda_4_loss: 0.4532\n",
+ "Epoch 34/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8637 - distribution_lambda_2_loss: 0.8007 - distribution_lambda_3_loss: 1.5960 - distribution_lambda_4_loss: 0.4670 - val_loss: 2.8210 - val_distribution_lambda_2_loss: 0.7801 - val_distribution_lambda_3_loss: 1.5859 - val_distribution_lambda_4_loss: 0.4550\n",
+ "Epoch 35/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8438 - distribution_lambda_2_loss: 0.7951 - distribution_lambda_3_loss: 1.5852 - distribution_lambda_4_loss: 0.4634 - val_loss: 2.8146 - val_distribution_lambda_2_loss: 0.7748 - val_distribution_lambda_3_loss: 1.5860 - val_distribution_lambda_4_loss: 0.4538\n",
+ "Epoch 36/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8835 - distribution_lambda_2_loss: 0.8114 - distribution_lambda_3_loss: 1.5971 - distribution_lambda_4_loss: 0.4751 - val_loss: 2.8154 - val_distribution_lambda_2_loss: 0.7706 - val_distribution_lambda_3_loss: 1.5873 - val_distribution_lambda_4_loss: 0.4575\n",
+ "Epoch 37/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8663 - distribution_lambda_2_loss: 0.8047 - distribution_lambda_3_loss: 1.5893 - distribution_lambda_4_loss: 0.4723 - val_loss: 2.8228 - val_distribution_lambda_2_loss: 0.7765 - val_distribution_lambda_3_loss: 1.5893 - val_distribution_lambda_4_loss: 0.4571\n",
+ "Epoch 38/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8676 - distribution_lambda_2_loss: 0.7980 - distribution_lambda_3_loss: 1.5940 - distribution_lambda_4_loss: 0.4756 - val_loss: 2.8247 - val_distribution_lambda_2_loss: 0.7747 - val_distribution_lambda_3_loss: 1.5942 - val_distribution_lambda_4_loss: 0.4557\n",
+ "Epoch 39/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8653 - distribution_lambda_2_loss: 0.8056 - distribution_lambda_3_loss: 1.5900 - distribution_lambda_4_loss: 0.4698 - val_loss: 2.8175 - val_distribution_lambda_2_loss: 0.7702 - val_distribution_lambda_3_loss: 1.5916 - val_distribution_lambda_4_loss: 0.4557\n",
+ "Epoch 40/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8710 - distribution_lambda_2_loss: 0.8159 - distribution_lambda_3_loss: 1.5875 - distribution_lambda_4_loss: 0.4675 - val_loss: 2.8171 - val_distribution_lambda_2_loss: 0.7739 - val_distribution_lambda_3_loss: 1.5886 - val_distribution_lambda_4_loss: 0.4547\n",
+ "Epoch 41/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8540 - distribution_lambda_2_loss: 0.8053 - distribution_lambda_3_loss: 1.5837 - distribution_lambda_4_loss: 0.4651 - val_loss: 2.8149 - val_distribution_lambda_2_loss: 0.7706 - val_distribution_lambda_3_loss: 1.5912 - val_distribution_lambda_4_loss: 0.4530\n",
+ "Epoch 42/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8515 - distribution_lambda_2_loss: 0.8006 - distribution_lambda_3_loss: 1.5850 - distribution_lambda_4_loss: 0.4659 - val_loss: 2.8068 - val_distribution_lambda_2_loss: 0.7650 - val_distribution_lambda_3_loss: 1.5875 - val_distribution_lambda_4_loss: 0.4543\n",
+ "Epoch 43/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8835 - distribution_lambda_2_loss: 0.8176 - distribution_lambda_3_loss: 1.5932 - distribution_lambda_4_loss: 0.4727 - val_loss: 2.8167 - val_distribution_lambda_2_loss: 0.7717 - val_distribution_lambda_3_loss: 1.5896 - val_distribution_lambda_4_loss: 0.4555\n",
+ "Epoch 44/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8590 - distribution_lambda_2_loss: 0.8009 - distribution_lambda_3_loss: 1.5910 - distribution_lambda_4_loss: 0.4671 - val_loss: 2.8176 - val_distribution_lambda_2_loss: 0.7735 - val_distribution_lambda_3_loss: 1.5891 - val_distribution_lambda_4_loss: 0.4549\n",
+ "Epoch 45/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8851 - distribution_lambda_2_loss: 0.8110 - distribution_lambda_3_loss: 1.6011 - distribution_lambda_4_loss: 0.4731 - val_loss: 2.8222 - val_distribution_lambda_2_loss: 0.7780 - val_distribution_lambda_3_loss: 1.5873 - val_distribution_lambda_4_loss: 0.4568\n",
+ "Epoch 46/2500\n",
+ "15/15 [==============================] - 0s 5ms/step - loss: 2.8825 - distribution_lambda_2_loss: 0.8122 - distribution_lambda_3_loss: 1.6014 - distribution_lambda_4_loss: 0.4689 - val_loss: 2.8112 - val_distribution_lambda_2_loss: 0.7666 - val_distribution_lambda_3_loss: 1.5878 - val_distribution_lambda_4_loss: 0.4568\n",
+ "Epoch 47/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8640 - distribution_lambda_2_loss: 0.8197 - distribution_lambda_3_loss: 1.5793 - distribution_lambda_4_loss: 0.4650 - val_loss: 2.8134 - val_distribution_lambda_2_loss: 0.7682 - val_distribution_lambda_3_loss: 1.5881 - val_distribution_lambda_4_loss: 0.4571\n",
+ "Epoch 48/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8478 - distribution_lambda_2_loss: 0.7915 - distribution_lambda_3_loss: 1.5868 - distribution_lambda_4_loss: 0.4694 - val_loss: 2.8135 - val_distribution_lambda_2_loss: 0.7694 - val_distribution_lambda_3_loss: 1.5885 - val_distribution_lambda_4_loss: 0.4556\n",
+ "Epoch 49/2500\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "15/15 [==============================] - 0s 5ms/step - loss: 2.8551 - distribution_lambda_2_loss: 0.8010 - distribution_lambda_3_loss: 1.5880 - distribution_lambda_4_loss: 0.4661 - val_loss: 2.8160 - val_distribution_lambda_2_loss: 0.7707 - val_distribution_lambda_3_loss: 1.5900 - val_distribution_lambda_4_loss: 0.4553\n",
+ "Epoch 50/2500\n",
+ "15/15 [==============================] - 0s 5ms/step - loss: 2.8654 - distribution_lambda_2_loss: 0.8053 - distribution_lambda_3_loss: 1.5910 - distribution_lambda_4_loss: 0.4690 - val_loss: 2.8198 - val_distribution_lambda_2_loss: 0.7728 - val_distribution_lambda_3_loss: 1.5903 - val_distribution_lambda_4_loss: 0.4567\n",
+ "Epoch 51/2500\n",
+ "15/15 [==============================] - 0s 4ms/step - loss: 2.8573 - distribution_lambda_2_loss: 0.8035 - distribution_lambda_3_loss: 1.5875 - distribution_lambda_4_loss: 0.4663 - val_loss: 2.8156 - val_distribution_lambda_2_loss: 0.7705 - val_distribution_lambda_3_loss: 1.5905 - val_distribution_lambda_4_loss: 0.4547\n"
+ ]
+ }
+ ],
"source": [
"load_model_gk = True# load scaler and model weights for goalkeeper player predictor\n",
- "refit_model_gk = False\n",
+ "refit_model_gk = True\n",
"\n",
"if(load_model_gk):\n",
" scaler_gk = pickle.load(open('saves/scaler_gk.pkl', 'rb'))\n",
@@ -5088,7 +5246,7 @@
},
{
"cell_type": "code",
- "execution_count": 25,
+ "execution_count": 26,
"id": "39a9bdc6",
"metadata": {},
"outputs": [],
@@ -5108,7 +5266,7 @@
},
{
"cell_type": "code",
- "execution_count": 74,
+ "execution_count": 27,
"id": "c41cf448",
"metadata": {},
"outputs": [
@@ -5116,13 +5274,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "0.08495805978919257\n",
- "0.2863763629090701\n"
+ "0.0798265190543076\n",
+ "0.29563465147366164\n"
]
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -5134,13 +5292,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "0.029428706465254972\n",
- "0.16360124606122328\n"
+ "0.02219365253550709\n",
+ "0.159869757007698\n"
]
},
{
"data": {
- "image/png": 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6ck1ooLtDExcpYRERkRop7WIuf/piJ6t+OQXAHZ0j+fudHamrwoXVkt41ERGpcX4+nsb42XEkpl7Az9uLPw9vx5iezVS4sBpTwiIiIjWGYRjM/fEor/53Nzl5Npo2CGDGmG50bBrs7tDkCilhERGRGuFCTh4vLfyZr3YcB2DgtaG8fW9nguv4ujkyqQxKWEREpNrbn3ye8bO3k3DqPN5eFv40pA2P9G2pwoU1iBIWERGp1pbsPMFzC37iQk4+oYFWpt7fhZ4tG7o7LKlkSlhERKRays7L5+/L9vDZ5iMA9G7ZkPfv70LjQKubI5OqoIRFRESqnaOpF5g4J46dx9IAmDjgGp4aFIO3hoBqLCUsIiJSraz99RRPzdtJ2sVc6tfx5d2RnRnQNtTdYUkVU8IiIiLVQl6+jXdWJzB9/QEAOkXV54PRXWjaQIULawMlLCIi4vGSM7J4fM4OthxKBeChPi14Ydi1+Pl4uTkyuVqUsIiIiEf74WAKj8/dwemMbOr6efPmPddx23WR7g5LrjIlLCIi4pFsNoMPNx7gnyv3YjOgTVgg0x/oSqvG9dwdmriBEhYREfE45y7k8Mf5O/nm12QA7urahL/f0ZEAP283RybuooRFREQ8yk/HzvHYrDiOn7uIn48Xf729PaO6R6lwYS2nhEVERDyCYRjM+uEIry3dQ06+jeYN6/DB6K50aKLChaKERUREPEBmdh7PfbWL/+48AcCQ9mH8495OBPmrcKHYKWERERG3SjiVwWOztnPgdCY+Xhaei23L726M1hCQOHF5AfvGjRsZPnw4kZGRWCwWFi1a5PT4Qw89hMVicfro1avXJa+7YMEC2rVrh9VqpV27dixcuNDV0EREpJpZuOMYI6Z9x4HTmYQH+fP5I734fd+WSlakBJcTlszMTDp16sS0adPKbDN06FBOnjxpfixfvrzca27evJlRo0YxduxYdu7cydixYxk5ciRbtmxxNTwREakGsnLzeWHhLp6at5OLufn0bd2IZU/cyPUtQtwdmngoi2EYxmWfbLGwcOFC7rjjDvPYQw89xLlz50r0vJRn1KhRpKens2LFCvPY0KFDadCgAXPnzq3QNdLT0wkODiYtLY2goKAK/2wREbm6ElMuMH7Odn4+no7FAk/c3JonbmmtwoW1VEXv31Wyp/H69esJDQ0lJiaGhx9+mOTk5HLbb968mcGDBzsdGzJkCN9//32Z52RnZ5Oenu70ISIinm3V7iRunfotPx9PJ6SuH5/+poeqLEuFVHrCEhsby+zZs1m7di1vv/02W7du5eabbyY7O7vMc5KSkggLC3M6FhYWRlJSUpnnTJkyheDgYPMjKiqq0p6DiIhUrtx8G1OW7+GR/9tORlYeXZvVZ9kTN9IvprG7Q5NqotJXCY0aNcr8ukOHDlx//fU0b96cZcuWcdddd5V5XvEJVoZhlDvp6vnnn2fy5Mnm9+np6UpaREQ80Kn0LCbOiWPr4bMA/O7GaJ6LbYuvtwoXSsVV+bLmiIgImjdvzr59+8psEx4eXqI3JTk5uUSviyOr1YrVaq20OEVEpPJ9t/8MT36+gzPncwi0+vDWPdcR2zHC3WFJNVTl6W1KSgpHjx4lIqLsf6C9e/dm9erVTsdWrVpFnz59qjo8ERGpAjabwdRv9jH24y2cOZ9D2/BAljx+o5IVuWwu97CcP3+e/fv3m98fOnSI+Ph4QkJCCAkJ4dVXX+Xuu+8mIiKCw4cP88ILL9CoUSPuvPNO85wHH3yQJk2aMGXKFACefPJJ+vXrx5tvvsmIESNYvHgxa9asYdOmTZXwFEVE5GpKzczhqXnxbEg4DcCo66P4y4j2+PuqcKFcPpcTlm3btjFgwADz+8J5JOPGjWPGjBns2rWLzz77jHPnzhEREcGAAQOYN28egYGB5jmJiYl4eRV17vTp04fPP/+cl156iZdffplWrVoxb948evbseSXPTURErrK4xLNMnB3HibQs/H29eG1EB+69XvML5cpd0T4snkT7sIiIuI9hGMz8/jCvL99Dbr5BdKO6zHigK23D9f+xlK+i92/VEhIRkSuSkZXLcwt2sWzXSQBu7RjBG3d3JFCFC6USKWEREZHL9mtSOo/NiuPQmUx8vS28MOxaHurTQrWApNIpYRERkcvy5fZjvLRoF1m5NiKD/Zk2pitdmzVwd1hSQylhERERl2Tl5vPK4t3M23YUgH4xjXlvVGdC6vq5OTKpyZSwiIhIhR06k8n42XHsOZmOlwWeGhjDhAHX4KVaQFLFlLCIiEiFfP3zSf70xU9kZOfRqJ4f/7qvCzdc08jdYUktoYRFRETKlZtv440Vv/LxpkMAdG/RgGmjuxIW5O/myKQ2UcIiIiJlOpl2kYlzdrD9iL1w4R/6teTpIW1UuFCuOiUsIiJSqo0Jp5k0L57UzBwC/X14+95ODG4f7u6wpJZSwiIiIk7ybQbvf7OP99fuwzCgfWQQM8Z0o1nDOu4OTWoxJSwiImJKOZ/Nk5/Hs2n/GQBG92zGn29rp8KF4nZKWEREBIBth1OZOGcHSelZBPh68/pdHbizS1N3hyUCKGEREan1DMPg402HeGPFr+TZDFo1rsuMB7oRExbo7tBETEpYRERqsfSsXP70xU5W7j4FwPBOkbxxV0fqWnV7EM+if5EiIrXU7hNpjJ8dx5GUC/h6W/jzbe14oFdzFS4Uj6SERUSkljEMg3lbj/LnJbvJybPRpH4A08d0pVNUfXeHJlImJSwiIrXIxZx8Xlr0MwvijgFwc9tQ3hnZifp1VLhQPJsSFhGRWuLA6fOMnxXH3lMZeFng6SFteLRfKxUulGpBCYuISC2w9KcTPPvlT2Tm5NOonpWp93ehd6uG7g5LpMKUsIiI1GA5eTZeX76Hmd8fBqBndAhT7+9CqAoXSjWjhEVEpIY6fu4iE2bHEX/0HADj+7di8qAYfFS4UKohJSwiIjXQur3JPDUvnnMXcgkO8OWdkZ245dowd4clctmUsIiI1CD5NoN3Vycwbd1+AK5rGswHo7sSFaLChVK9KWEREakhTmdk8+TnO/j+QAoAD/Zuzou3XovVR4ULpfpTwiIiUgNsOZjC43N3kJyRTR0/b964+zpu7xTp7rBEKo0SFhGRaswwDP5n40H+sXIv+TaD1qH1mPFAV64JVeFCqVmUsIiIVFNpF3L54xc7WbPHXrjwzi5N+PudHajjp//apebRv2oRkWpo17E0Hpu9nWNnL+Ln7cWrt7fn/h5RKlwoNZYSFhGRasQwDGZvSeSv//2FnHwbUSEBzBjTjQ5Ngt0dmkiVUsIiIlJNZGbn8eLCXSyKPwHAoHZh/PPeTgQH+Lo5MpGqp4RFRKQa2J+cwaOz4tiffB5vLwvPDm3Dw31baghIag2X92feuHEjw4cPJzIyEovFwqJFi8zHcnNzefbZZ+nYsSN169YlMjKSBx98kBMnTpR7zZkzZ2KxWEp8ZGVlufyERERqmsXxx7l92nfsTz5PaKCVuQ/34pF+rZSsSK3icsKSmZlJp06dmDZtWonHLly4QFxcHC+//DJxcXF89dVXJCQkcPvtt1/yukFBQZw8edLpw99fxblEpPbKzsvnpUW7ePLzeC7k5NOnVUOWPdGXHtEh7g5N5KpzeUgoNjaW2NjYUh8LDg5m9erVTsemTp1Kjx49SExMpFmzZmVe12KxEB4e7mo4IiI10tHUC4yfHceu42kAPHHzNTw5MAZvL/WqSO1U5XNY0tLSsFgs1K9fv9x258+fp3nz5uTn59O5c2dee+01unTpUmb77OxssrOzze/T09MrK2QREbda88spJs+PJz0rjwZ1fHl3VGf6twl1d1giblWlNcazsrJ47rnnGD16NEFBQWW2a9u2LTNnzmTJkiXMnTsXf39/brjhBvbt21fmOVOmTCE4ONj8iIqKqoqnICJy1eTl23hjxa/8/rNtpGfl0aVZfZY90VfJighgMQzDuOyTLRYWLlzIHXfcUeKx3Nxc7r33XhITE1m/fn25CUtxNpuNrl270q9fP95///1S25TWwxIVFUVaWppLP0tExBMkp2cxce4OfjyUCsBvbmjB87HX4udTpX9Xirhdeno6wcHBl7x/V8mQUG5uLiNHjuTQoUOsXbvW5QTCy8uL7t27l9vDYrVasVqtVxqqiIjbfX/gDE/MjefM+WzqWX148+7ruPW6CHeHJeJRKj1hKUxW9u3bx7p162jYsKHL1zAMg/j4eDp27FjZ4YmIeAybzWDGhgO8vWovNgPahgcyfUxXWjau5+7QRDyOywnL+fPn2b9/v/n9oUOHiI+PJyQkhMjISO655x7i4uJYunQp+fn5JCUlARASEoKfnx8ADz74IE2aNGHKlCkA/OUvf6FXr160bt2a9PR03n//feLj4/nggw8q4zmKiHics5k5TJ4fz7q9pwG4p1tTXhvRgQA/bzdHJuKZXE5Ytm3bxoABA8zvJ0+eDMC4ceN49dVXWbJkCQCdO3d2Om/dunX0798fgMTERLy8isZlz507xyOPPEJSUhLBwcF06dKFjRs30qNHD1fDExHxePFHzzFhdhzHz13E6uPFayM6MLK7Fg6IlOeKJt16kopO2hERcRfDMPhs8xH+tuwXcvMNWjSsw/Qx3WgXqf+zpPZy66RbERFxdj47j+cW/MTSn04CENshnDfvuY4gfxUuFKkIJSwiIlVsb1IGj83ezsHTmfh4WXh+2LX89oYWqgUk4gIlLCIiVWjB9mO8uGgXWbk2IoL9mTa6C92aqxaQiKuUsIiIVIGs3Hz+8t/dzP3xKAB9WzfivVGdaVhP+0eJXA4lLCIilexISiaPzYrjl5PpWCww6ZYYJt58jQoXilwBJSwiIpVo5e4knv5iJxlZeYTU9eNf93Wmb+vG7g5LpNpTwiIiUgly82289fWv/PvbQwB0a96AaaO7EBEc4ObIRGoGJSwiIlcoKS2LiXPi2HbkLAAP943mmaFt8fVW4UKRyqKERUTkCmzad4YnP99BSmYOgVYf/nHvdQztoMKFIpVNCYuIyGWw2Qymrt3Pe98kYBjQLiKI6WO60qJRXXeHJlIjKWEREXFRamYOk+bFszHBXrjwvu5RvHp7e/x9VbhQpKooYRERccH2I2eZOCeOk2lZ+Pt68fc7OnJ3t6buDkukxlPCIiJSAYZh8Ml3h3l9+R7ybAYtG9Vl+gNdaRuuwoUiV4MSFhGRS0jPyuXZL39ixc9JANx6XQRv3n0d9az6L1TkatFvm4hIOX45kc742ds5nHIBX28LL93ajgd7N1fhQpGrTAmLiEgZ5m89ysuLfyY7z0aT+gFMG92FLs0auDsskVpJCYuISDEXc/L58+Kf+WL7MQD6t2nMuyM706Cun5sjE6m9lLCIiDg4dCaTx2Zt59ekDLws8MfBbXjsplZ4qXChiFspYRERKbB810me+fInzmfn0aieH+/f34U+rRq5OywRQQmLiAg5eTamrNjDJ98dBqBHixCmju5CWJC/ewMTEZMSFhGp1Y6fu8jEOXHsSDwHwKM3teLpwTH4qHChiEdRwiIitdb6vck8NS+esxdyCfL34e2RnRnULszdYYlIKZSwiEitk28z+NeaBKau249hQMcmwUwf05WokDruDk1EyqCERURqlTPns3ny8x18tz8FgAd6NeOlW9upcKGIh1PCIiK1xtbDqUycE8ep9GwCfL154+6OjOjcxN1hiUgFKGERkRrPMAz+/e1B3vx6L/k2g2tC6zFjTFdahwW6OzQRqSAlLCJSo6VdzOVPX+xk1S+nABjROZLX7+xIXRUuFKlW9BsrIjXWz8fTGD87jsTUC/h5e/Hn4e0Y07OZCheKVENKWESkxjEMg7k/HuXV/+4mJ89G0wYBzBjTjY5Ng90dmohcJiUsIlKjXMjJ46WFP/PVjuMADLw2lLfv7UxwHV83RyYiV0IJi4jUGPuTzzN+9nYSTp3H28vCn4a04ZG+LVW4UKQGcHnv6Y0bNzJ8+HAiIyOxWCwsWrTI6XHDMHj11VeJjIwkICCA/v37s3v37kted8GCBbRr1w6r1Uq7du1YuHChq6GJSC22ZOcJRkzbRMKp8zQOtDLn9z15VFWWRWoMlxOWzMxMOnXqxLRp00p9/K233uKdd95h2rRpbN26lfDwcAYNGkRGRkaZ19y8eTOjRo1i7Nix7Ny5k7FjxzJy5Ei2bNniangiUstk5+Xz58U/88TcHWTm5NO7ZUOWPXEjPVs2dHdoIlKJLIZhGJd9ssXCwoULueOOOwB770pkZCSTJk3i2WefBSA7O5uwsDDefPNN/vCHP5R6nVGjRpGens6KFSvMY0OHDqVBgwbMnTu3QrGkp6cTHBxMWloaQUFBl/uURKQaOZp6gYlz4th5LA2ACQNa8dRAFS4UqU4qev+u1N/qQ4cOkZSUxODBg81jVquVm266ie+//77M8zZv3ux0DsCQIUPKPSc7O5v09HSnDxGpPdb+eorbpm5i57E06tfx5ZOHuvOnIW2VrIjUUJX6m52UlARAWJhztdOwsDDzsbLOc/WcKVOmEBwcbH5ERUVdQeQiUl3k5dt46+tf+e3MbaRdzKVTVH2WPn4jA9qGujs0EalCVfKnSPFNmQzDuORGTa6e8/zzz5OWlmZ+HD169PIDFpFqITkjiwc+3sL09QcAeKhPC774Q2+aNlCVZZGarlKXNYeHhwP2HpOIiAjzeHJycokelOLnFe9NudQ5VqsVq9V6hRGLSHXxw8EUHp+7g9MZ2dT18+aNu69jeKdId4clIldJpfawREdHEx4ezurVq81jOTk5bNiwgT59+pR5Xu/evZ3OAVi1alW554hI7WCzGUxfv5/R//6B0xnZxITVY8njNypZEallXO5hOX/+PPv37ze/P3ToEPHx8YSEhNCsWTMmTZrE66+/TuvWrWndujWvv/46derUYfTo0eY5Dz74IE2aNGHKlCkAPPnkk/Tr148333yTESNGsHjxYtasWcOmTZsq4SmKSHV17kIOf5y/k29+TQbgrq5N+NsdHajjpz0vRWobl3/rt23bxoABA8zvJ0+eDMC4ceOYOXMmzzzzDBcvXmT8+PGcPXuWnj17smrVKgIDi8q4JyYm4uVV1LnTp08fPv/8c1566SVefvllWrVqxbx58+jZs+eVPDcRqcZ+OnaOx2bFcfzcRfx8vPjr7e0Z1T1KhQtFaqkr2ofFk2gfFpGawTAMZm1J5LX//kJOvo3mDevwweiudGiiwoUiNVFF79/qVxURj5GZncfzX+1iyc4TAAxuF8Y/7u1EcIAKF4rUdkpYRMQjJJzK4LFZ2zlwOhNvLwvPx7bldzdGawhIRAAlLCLiARbuOMYLX/3Mxdx8woKsTBvdle4tQtwdloh4ECUsIuI2Wbn5/HXpL8zZkgjAjdc04r37OtOonvZYEhFnSlhExC0SUy4wfs52fj6ejsUCT9zcmiduaY23l4aARKQkJSwictWt/uUUk+fHk5GVR4M6vvzrvi70i2ns7rBExIMpYRGRqyY338Y/V+7lfzYeBKBrs/pMG92VyPoBbo5MRDydEhYRuSpOpWcxcU4cWw+fBeC3N0TzXGxb/HyqpAariNQwSlhEpMp9t/8MT36+gzPnc6hn9eEf91xHbMeIS58oIlJACYuIVBmbzeCDdft5d00CNgPahgcy44FuRDeq6+7QRKSaUcIiIlXibGYOT82PZ/3e0wCMuj6Kv4xoj7+vt5sjE5HqSAmLiFS6HYlnmTA7jhNpWVh9vHjtjg6MvD7K3WGJSDWmhEVEKo1hGMz8/jCvL99Dbr5BdKO6TB/TlWsjVJBURK6MEhYRqRQZWbk8t2AXy3adBGBYx3DevPs6Av1VuFBErpwSFhG5Yr8mpfPYrDgOncnEx8vCi7dey0N9WqhwoYhUGiUsInJFvtx+jJcW7SIr10ZksD/TxnSla7MG7g5LRGoYJSwiclmycvN5ZfFu5m07CkC/mMa8N6ozIXX93ByZiNRESlhExGWHzmQyfnYce07aCxdOHhjDhAHX4KXChSJSRZSwiIhLvv75JH/64icysvNoWNePf93XhRtbN3J3WCJSwylhEZEKyc238caKX/l40yEAurdowNT7uxIe7O/myESkNlDCIiKXdDLtIhPn7GD7EXvhwkf6teRPQ9rg663ChSJydShhEZFybUw4zaR58aRm5hDo78M/7+3EkPbh7g5LRGoZJSwiUqp8m8H73+zj/bX7MAxoHxnEjDHdaNawjrtDE5FaSAmLiJSQcj6bSfPi+XbfGQDu79GMV4a3U+FCEXEbJSwi4mTb4VQmztlBUnoWAb7e/P3ODtzVtam7wxKRWk4Ji4gA9sKFH286xBsrfiXPZtCycV0+fKAbMWGB7g5NREQJi4hAelYuf/piJyt3nwJgeKdIptzVkXpW/RchIp5B/xuJ1HK7T6QxfnYcR1Iu4Ott4eXb2jG2V3MVLhQRj6KERaSWMgyD+duO8vLi3eTk2WhSP4DpY7rSKaq+u0MTESlBCYtILXQxJ5+XFv3MgrhjANzcNpR3Rnaifh0VLhQRz6SERaSWOXD6PONnxbH3VAZeFnh6SBse7ddKhQtFxKNV+r7aLVq0wGKxlPiYMGFCqe3Xr19favtff/21skMTqfWW/nSC26duYu+pDBrVszL7970Y319VlkXE81V6D8vWrVvJz883v//5558ZNGgQ9957b7nn7d27l6CgIPP7xo0bV3ZoIrVWTp6N15fvYeb3hwHoGR3C1Pu7EBqkwoUiUj1UesJSPNF44403aNWqFTfddFO554WGhlK/fv3KDkek1jt+7iITZscRf/QcAI/1b8UfB8Xgo8KFIlKNVOn/WDk5OcyaNYvf/va3l1wi2aVLFyIiIrjllltYt27dJa+dnZ1Nenq604eIOFu3N5lb3/+W+KPnCA7w5eNx1/Ps0LZKVkSk2qnS/7UWLVrEuXPneOihh8psExERwUcffcSCBQv46quvaNOmDbfccgsbN24s99pTpkwhODjY/IiKiqrk6EWqr3ybwT9X7uU3n2zl3IVcrmsazNLHb+SWa8PcHZqIyGWxGIZhVNXFhwwZgp+fH//9739dOm/48OFYLBaWLFlSZpvs7Gyys7PN79PT04mKiiItLc1pLoxIbXM6I5snP9/B9wdSABjbqzkv3XYtVh8VLhQRz5Oenk5wcPAl799Vtqz5yJEjrFmzhq+++srlc3v16sWsWbPKbWO1WrFarZcbnkiNtOVgCo/P3UFyRjZ1/LyZcldHRnRu4u6wRESuWJUlLJ988gmhoaHceuutLp+7Y8cOIiIiqiAqkZrJMAz+Z+NB/rFyL/k2g9ah9ZjxQFeuCVXhQhGpGaokYbHZbHzyySeMGzcOHx/nH/H8889z/PhxPvvsMwDee+89WrRoQfv27c1JugsWLGDBggVVEZpIjZN2IZc/frGTNXvshQvv7NKEv9/ZgTp+2hdSRGqOKvkfbc2aNSQmJvLb3/62xGMnT54kMTHR/D4nJ4enn36a48ePExAQQPv27Vm2bBnDhg2ritBEapRdx9IYP2c7R1Mv4uftxau3t+f+HlEqXCgiNU6VTrq9mio6aUekJjAMg9lbEvnrf38hJ99GVEgAM8Z0o0OTYHeHJiLiErdPuhWRqpGZnceLC3exKP4EAAOvDePtezsRXMfXzZGJiFQdJSwi1cj+5AwenRXH/uTzeHtZeGZIGx7p11JDQCJS4ylhEakmFscf5/mvdnEhJ5/QQCvTRnelR3SIu8MSEbkqlLCIeLjsvHxeW/oLs36wT1bv06oh/7qvC40DtQ+RiNQeSlhEPNjR1AtMmBPHT8fSAHji5mt4cmAM3l4aAhKR2kUJi4iHWvPLKSbPjyc9K4/6dXx5d1RnBrQJdXdYIiJuoYRFxMPk5dv456oEPtxwAIDOUfX5YExXmtQPcHNkIiLuo4RFxIMkp2cxce4OfjyUCsBDfVrwwrBr8fOp0sLqIiIeTwmLiIf4/sAZnpgbz5nz2dSz+vDm3ddx63WqqSUiAkpYRFySkJDAgQMHuOaaa2jdunW5bT/++GPWr1/PLbfcwkMPPVRmO5vNYMaGA7y9ai82A9qGBzJ9TFdaNq53xTG40lZExJNpa36p9SpyU09NTWXsA6NZvmKleWxY7BBmzZ5LgwYNnNpu376dvjf05mJ2rnkswOrL9z/8SOfOnZ3ans3MYfL8eNbtPQ2AT+JWds18mQA/7yuKwZW2IiLuVNH7txIWqZEqOwnpf1NfvvtuE3n5Rcd8vOHGG/uybv1Gp7ZeFgteXpBvKzrm7QWGDfIdft3ij57j/qlruOgVgC03m9TVH5K5azXeXjD5j3/irbfecrrugP792Pzdt2TnFR2z+kDvG0rGMHjQLWz9fh0v3mEQGgSn0+Fviyx07zOAVau/Kfe1ExG5mip8/zZqiLS0NAMw0tLS3B2KVJG9e/cay5cvNxISEspsk5KSYgyLHWIA5sew2CFGampqibbDYocYIYHexu/7Y9x5PcbD/TFCAr2NYbFDSvxcwPD2wum6hd87xvOf//zH8LJgWH2c21p9MLwsGJ988olhs9mMmd8dMq55YZnR/NmlRpNHPjJ8Q6NLXPdyYyhs27m5c9vC78t7/URErraK3r+19EA8XmpqKrcOG0qbNm0YNmwYMTEx3DpsKGfPni3RduwDo/lh0xpmjYfE92HWePhh0xoeGHO/U7uEhASWr1hJ5sV8/rMeFm6Df6+HzIv5LF+xkn379plt58+fD0DxrdosxR4HePHFF7EZzr0rYP/eZsDzL7/K43N38MqS3eTmG1zY+x3Jn00iN/mQ03UtQPv27Z1i8PaCelacnls9q733xjGGDRs24GWBxDPwj9Hw6aPwz9H2770s9sdFRKobDQmJx7t12FB+2LSG98fm068tbPwVnvg/b3rdOJBly7822yUkJNCmTRtmjYesXFj/C9zS3j50M3aG/fHC4aEVK1Zw263D8PWmxBBLbj4sXbac2NhYABo0aEBG+jnqWeGD32DGMOETOJ8NQcENSE21L0MuLELoXcqQkFdIcxrf8Ry+DaPw8bKQvPojMrcvJtC/5HUzsuwJTuGvZ3h4OKdOnWLWeBhzQ9F1Z22yP7fw8HBOnjwJQJcuXYiPj6dzc4g/UtS28PsuXboQFxdXae+PiMiVqOj9W6uExKMV9oQ43qjH3ACGkc/YGfaekMIk5MAB+0Zrv/+3PWEBmPUd+Pvav96/f7/ZdtWqVZSVqhsGfPPNN2bCcu7cOcCeVDjHYE8Wivf0FPaQOKrTbgD1B0/Ay9efiGB/po3uwvVTbi33uo5OnToF2JMaRzdda/+clJRkHjt06JDZwzJrfFEi9MSn9h6WQ4cOISJS3WhISDxaYRJS1o16//795rFWrVrh7WXvJXEcNrH62Hs4rrnmGrPt5s2bsVigTrEhljpWsFhg06ZNJWIpK4bivLygbsF19/3Ll7ufmkjIrX/Ey9efi4fiWPr4jXRrXlRluaLXBXvi4WjDnpJtoqOjsRnw/jh7AhTV0P75Xw/ae21atmxZ6rUTEhJYsWKF03CYiIinUMIiHq1Vq1ZA2TdqxyTk22+/Jd9W1GNReKOe9pB9eOa7774z29arVw+bAVPHQfeW8PNR6NEK3i+4qQcHB5eIpSLJAmDG8NPZcIbt+Sfb/IZiMWyc2zSb5C9epWE95yrLG3+FhJOwIh72JZV9XS+LvZdk1iY4mmL//ORn9uOOxo8fD5SdCD322GNOx12ZIyQi4i4aEhKPFhMTw7DYITzxf2swjHxuutZ+Q39yljfDYgc6LVlev349UPaN+ptvvjE3cKtXz74p27/XwwPTHdq2s38OCCiq2xMQEEBO9kUmfGIfrimMYeJMe8+N1b9OibgfXtOLRrGT8PKvR/6FNM4s/QdZh+JLtLMAD30EeQ7zaHx87McdR6wCAwPJyMigWSPn4aLOzSH1CE7jvjfddBNgT4Qc57sUJkKFjxdynKhcNEfIPlHZcY6QiIg7KWERjzdr9lweGHM/Y2c47pcykFmz5zq169+/P7NmzSrzRn3LLbeYxwzDAAt8ewi4C2gOHIFvVwCWosmzABERERw8eBA/H+dkoXEg5F+0T3g1eXlT/6ZxBPe4C4CsY79wZsmb5F9IKfW5GRbI8wZuL4ohbxmQj1PG0rNnT9Z+s4YjZ+De7nDsHDRtAGt223tYevbsabaNiYlh0MCbmThzHSfOGoQFQ3Ia/H2xhUEDBzglea7MERIRcSclLOLxGjRowLLlX7Nv3z72799f5mZwffv2xduLMntCbrihKIuJjo4GA2yxwHUFB6+zDwexEFq0aGG2DQsL4+DBg7w7FkKDYPM+6N0aTqXZE5iwsDAAktKyCLv/dfyb2pcjp59dyNnQmTAoH5YBNpySkJYtW3Lw4EG41TkGCmIoHA4DsNls2Aw4exG+2OrwpL3s7W0253XUH/7Pv+nZqwfPzC1KlBo1DuF/PvqPU7uKzBFSwiIinkBzWKTaOHjwIFu3buXw4cOlPn7gwAHybfZlymNnQLMn7J+z8+zzShwn6Jp7nDQHzgD7gBSgRbHHC3hZYMJMmLfZvjR4/g8w8dOi+SOb9p3h1ve/xb9pe2zZmSSf+DtnIz+G4Hx7EjIM5zEeoFGjRkUxOGpR7HGgY8eO9nEiX+w9Qk8VfPYFLAWPO/j9I7/nzFnnXp0zZ1P4/SO/dzrmyhwhERF3Ug+LeLwDBw7Qs3dPUk4X3YAbNm7I1i1b7T0lBQpvvr4+RcuaHb93vPk2a9bM/sVcoGhFMNg7S2jevCiL8Pf3x2ZAWhZ87LjnmhdgWMhqNYCx/7sFw4Dc5IMkL5xC3m9OOj+JFvZPVmvRhNs+ffrw448/whEgEjgLhADH7I/feOONZtvGjRvbE54yemMKe3nAPsyzbu06sOI01MRyWPvNWqdhHlfmCImIuJMSFvF4PXv3JCU9xWmuScqyFLr37M6Z5DNmu5iYGHytPmTY8pzaZiwDX6uP0813zpw59i9OF/thZ4oeHzRoEGCf+7Ju/Tp7b0Y/oC5wAby2BNFo8B9JbdINDLivexSz//g4eedOlpmEhIaGmj+qYcOG9i8WY5+zUqig7qFjPaNffy3oAimjN2b37t3moQ0bNtgTmWGUmtxs2LDB6bWo6BwhERF3UsIiHm3lypX2npW7KHHzTVmYwurVq83EYuXKleRm55XaNndhnlPbJUuWFA2xjMCpFwIbLF682Izh9OnT9pt9A2C1/ZhfZFsaj30Wn7qN8TbyeXNkV+7p1pQvnikYIyojCfHz8zMPbdu2zR6DD3AzZiLEBnsM27ZtM9u2bVswyeSIw3MDOGz/VHwICygzuSmuonOERETcSQmLVLqKVEquqC1btti/KOPmu3nzZjMJWbZsWVHbfcBxIKqo7dKlS8222dnZ5fZCZGVlmT/qhx9+sCcWacBdEBh9Ow28f4vF4kNu6jEaH1zOPW/eDkBOTk5REuKYCBVMus3JyTGvm5ycXCIRAuzDUqcKHi8QGhpqv+6yghhbYE9WlgMW5/ku5rLlMpKb4suaC7Vu3VqJioh4LCUstZgriUVF2qampjL6gdGsXFE0tDAkdghzZ891Gt5w5bre3gVdE0eAAIqSkPP2w449FuZwywygKN+wz+XAeTimcKlyWYlQZGSkeSgtLQ0MsNwaQMPWk6hrs682yszYSMqnUwlu1cJse/HixXLnmly8eNFsa7PZ7EnIOZyGsAqTkBJlvgzsvTYLHY75UGIyb0xMDDcPvJl1y9fZr9ECOAyWFRYGFFvWLCJSXWiVUC2UmprK0GI7mw4tY2dTV9qOfmA0azaucVrFsmbjGu4vVinZleuaczcWAbOB9cD/YR9yAfbsKdoWduTIkUU7rjmupAGwFDxewExeHIoDAmYvhGNy4+fnh2/jFkS0fI+6thswyCXV90POWN/CyLnolDSZG7iVkQgFBgaahyIiIpx7eYILPsfan4Pj/i5mr0jx+kdGsccLfDn/SwYPGGxPbt4FFsLgAYP5cv6XiIhUR0pYqoHKrvHiSmJR0bYJCQmsXLGS/CH59smmyUATyB+cz8oVK0vEPuLOEaxcudLp2MqVKxlx5winYydPnix3Oe+JEyfMtl988YVz70ZhAlCwpHjBggXOT65wiGUn9uGenZi9G44bx7Uc+ADhY9/G19KEPFsyScnPkpG21ExuBg4caLbt16+f/YsyEqEBAwaYh8zkpQLJjRlvGa9DcQ0aNODr5V/bN4ZbvpyEhAS+Xv51mT1dIiKeTgmLB3Old6PQpZIbVxILp7YOCUBpbQs3IGMHMA17b8hUIN5+2HEPlISEBDZ9u8l+sx0E3AEMBnzh243fOl03JSWl3CQkJaVoqfOSJUvsX5SRACxatMg8FBYWZr9uLk69EOTarxsaGsrFnHz+9MVOdvi2w8vXysWD2zg59UlyPkmwP7eCH5efXzS79tixY/YEYjmwqeD5fwcU7KCbmJhotjWToiM47wVz2H7Yy6vo13P+/Pnl9sbMnz+f0pQYVhIRqaY0h8WDOfVuFMxvWLPS3rvxdbEaLxWdP+KUWHzlcIGC7UwcdzY125aRADi29fLyst+oT1LqfAwfn6J/aubNt4zJpvPnz+fFF18ECnpYyonBfByH4ZgyJps6FjT84YcfKM+W3Qe5c/p3/JqUAYaNs9/OIn3HFzDMKLGiyJwYTMHyYgP7nwJrHC5YBzDg559/Ng+ZiVkZK4r27t1rHkpISLB/UcbrYD5e4HLmE4mIeLJK72F59dVXsVgsTh9OtVZKsWHDBrp164a/vz8tW7bkww8/rOywqh1XejcA7hl5DytXFxtiWb2Se0be43TMKbHoA/QGbij4vlhiYW4NX8bwhuNGbImJieX2ABw5UnSRhIQEp1U35vBGuj0Gx5vv+fPny40hIyPDPBQeHl7uMI/jv8PTp0+XOcRSp80N+Nz6Er8mZdConh9+339E+ub59mSllOd27tw587p5eXn26+YXu26+PYY8hyqHSUlJRSuKHNv62NueOnXKbOvUG1PK6+A4hAUOya5DD1ZZw34iItVBlfSwtG/fnjVriv68NFd6lOLQoUMMGzaMhx9+mFmzZvHdd98xfvx4GjduzN13310V4VULrvRuJCQksO6bdeZf5iYD1q5x3tnUTCwAvndoa6VEYhETE8OQ2CGsWbmGfCPfXG3ivcqbgWXtglqBvT9CQkLsMRSr41O4kiYkJMRsa66kWYHzct6vAYtzDZ2MjAznYZ5CBfV2zOSnUPHVPB19aNDoNwQ1sM+j6dEihKmju9D27ZFFz+0MRZvBFTy3pKSirXJdWSWUnp5ebtv09HSzbXBwcNFQk+PrUDDU5Nh7VJjsEo5TD1Z+WFGyq5VCIlLdVEnC4uPjc8lelUIffvghzZo147333gPg2muvZdu2bfzzn/+s1QmLU+9GKcMbjr0bGzZsKHcTtOI7mzqtpHHcJ6SUyZtzZ8/l/jH3s3JhUe/NwNiBzC22C6q51X0Z8Tpude9KDZ2goCD7TT4Y5yQkDLjofKP+6aef7M/BD/uOtHWwb8S2EciG+Ph4s21AQACZmZlmDN62RjTOeQ5rA/sGbRe2L2LO3/8HH28vezsocxt/x0TITEjKeG6OCYu5J0sZbbOzs81Dt956K1OnToX6pbwOp+C2224zDx04cMC5B6vwPS5IblTQUESqoyqZdLtv3z4iIyOJjo7mvvvus+93UYbNmzczePBgp2NDhgxh27Zt5ObmlnGW/T/z9PR0p4+apLB3w3ult9Pwhvcqb4bEDnG64Zw6darc4RjHoQVzs7IyJrGeOVO01T1UfNLm1q1byx2O+fHHH822Zt2bMoY3HOviNGjQoGivksLhjUEF17c498aYPRbDsA93dS74XPA6pKWlmW3r1atnxuCf35WI7H9hNdqSn3+e5AV/xfvnpfh42389/P397TGcxXno5pw9hoCAAPO6vr6+5T4383Eckq0y2tavX988NGTIEOqH1LfHUDiU18ceQ4OQBuaGeFAw7OfYg1X4Hg+1vw6Ow34iItVFpScsPXv25LPPPmPlypX8+9//JikpiT59+jit5nCUlJTkdIMC+w0rLy+vxM3T0ZQpUwgODjY/oqKiKvV5eIK5s+cysN9Ap1UsA/uV7N0wX78y/lJ3fH0rsnOso4rOjdm7d6/9JpmH86qbPMBwnpfSrFmzouGNlQUfqzB7ABx7YwzDsF+3PvbhjUUFn4Pt13UcEjIThzKeW506dcxDderUAS8vglPGEJr9Kt4Ek521n6RPn+TigR+d2jZp0qTcJK9p06Zm27Zt2xY9N8fEreC5tWvXzjmGctrWrVvX6Wm0bdsWcrAP5W0u+JwDbdq2cWpnviZlvA6O82hERKqLSv9TKzY21vy6Y8eO9O7dm1atWvHpp58yefLkUs8pPmGw8K/64scdPf/8807XS09Pr3FJS+FeGpeq8eLKVuzmCpEy2jquIHGl6m+bNm2KJpDeQtFwzAbAZu8xKmSz2ewJQA72G2+hgrkmjjfUnj17sjdhr71nYRD2ejuZ2Id5LPbHCzn1bpTy3Jx6FvwDCb33rwS06AxAxo7lpH7zb7DmlticzexlKiMBcFzW3L9/f3bu3FlyHo23/bk5vhfmXJ6IYm2jgUPOvUcJCQn8sPkH+3sxDKf34ofNPzi9F64MJ4qIVBdV3jdct25dOnbsWOa+IOHh4U6TFsE+bOHj41NUzbYUVqsVq9VaqbF6qkvVeHFlK3ZziKWMmjSOCYsrVX/NXVsdJ5CCPcFYWNBLUeDEiRNFc25uxXkeTY7zENaLL77IZ599Zu+pcVwCXZAAFC5/hoJlzeU8t8Ihlq2HU7ENepaAgGBstixS06aRmbMeRmPf8n+h85b/TZo0sfcglZEAlJooF8+1C753TMLNeV5dgNuAVIoqOx9yXtXkyntxWZOlRUQ8XJVvHJednc2ePXvsN7RS9O7dm9WrVzsdW7VqFddff73TeH9NU9m711Z0K3azd8Mb56GbggTAcYjFVIGVP8ePHy+3reOGaUuWLCl3iMWxUvKhQ4fsX4wAHgfGFHy21xrk8OHDRT+qRQv7dSOLPbdI+3WjmjXj3xsPct9HP0BAMDlnEkma9RSZp9fbk4bzmMnNtddea1539OjR5Q7djBkzxmxrvn63Y6/A3AJ7j9Nw+2HH3pg9e/YUJVjHgNCCzwUx/PLLL5RQgfcCKj6cKCJSXVR6D8vTTz/N8OHDadasGcnJyfztb38jPT2dcePGAfahnOPHj9v/agYeffRRpk2bxuTJk3n44YfZvHkzH3/8MXPn1sz/WKtqQ6+KDh916tTJ/kUQ9iGbQoH277t06WIecmWoyRyaKaNt7969zUPmqpoybr6Oe6s4zbkJBgo73Qr+5TpWa27RouACXbDvLXMMs1Ci5URdkluP4O/L7bWH2te7wIp3JmPYskoduhk2bJh56OTJk+UO3ZjJGg6reRw3gzuMueTccTVPTk6Oc/JYqGCTOcdVQq5WYK7ovwcRkeqi0hOWY8eOcf/993PmzBkaN25Mr169+OGHH8yJlCdPnnT6azs6Oprly5fz1FNP8cEHHxAZGcn7779fY5c0u7J77eW41PBRZGSk84qXYsuaHSfoOg01pRtQD8gEy7clh5qGDBmCr9WX3GW5JYZjfK2+TqtYbr75ZtauXWv/uZEU7WtyzP64Y20ep2rNpdyoHYduzOXQjskC4BfRikbjnuOkdyh+3l78eXg7sn5ew/LcLPtr0ATn4ZiFzvNdtm7dav+ijKGbbdu2Ob0O5lyem7EPiTnM5XF8HcLDw+09SEML2h2lqBL1Qpx6JS+3AvOl/j2IiFQXlZ6wfP755+U+PnPmzBLHbrrpJuLi4io7FI9jbuh1F07zEPKNfFYuvDobep04caLczcoc548A/Pt//k2PXj1IWVO0yiukcQj/+eg/Tu0SEhLIzc61b1ZWbJ+Q3FO5Ts+ta9eu9seKJRaFvRBmLxAFQyjlzEsx9zKhYEl2YbIwAmgO9c4OIaThH7D4+FHHuMjnjw3kuqb1eWLOTvtJzbFPkC3Uwv5px44dPPTQQ4DDpm3LsA9bFYvBLAkAfPzxx+WWHZg5c6Z53UaNGhVdty/2lVBJmBOKHfejAYf3YmH574WISE2k4odXUUV2r61qTnNNHAvuFcTg2PsFMH7ieM5dOOe0/8i5C+d4bMJjTu3M5xaAs4LVwY7PzSwPUMaW9I69G+aSYgvO81IADIcN6yiY71KQjFk6WmkYMJmGYY9j8fHjwv4fabX/C65rWh9w2JNlLs7FGufg/DgFwy3lLNl2rMC8fv36cssOfPPNN2bbESNGFF13DUVLtguue+eddzq9lOZ74VBSobT3QkSkJtIOUlfR5S43TUhI4MCBA5UyD8Gca1LGrq2Oc01c6RFq1apVucUPHZ/b1q1by+3l+fHHH82hE3MS62PYE6zCYZNGwLvOS6ALN2Lzad6UxtnP42c0xyCfc3mfkb7gK0IeHGu2PXfuXLlDY44Jy65du+xfjKDU4aOdO3eabdu2bVtu2YH27dubbX/3u9/x+4d/T6ksmD0xUGy7fYeSCtpuX0RqC/WwXG3lrDYpLjU1laHDhtKmTRuGDRtGTEwMQ4cN5ezZs5f94wvnmpS2a2vxuSYu9wg5LrstXPlTsMuso+Tk5HKvaz7u6EjBNZtgHzo5XLLJmDFjqHNtPyJ83sHPaE4eqZzye5H0gwsAgwceeMBse/r06XJXKjkOjZk7NTfHPum3dcHnFsUex2G4q4zn5jjctXJlwcTrUgowAk6r50pst1+s5+Zq9M6JiLiTEpar6MCBA86rTQqHFiIAo+RNx2mCbsEN6kor7ppzTUq5Uedm5zots/byKvjnUcbW8Y5DN64kN7feemu513VcSWOuflmM89DNEufHs/Py+S6rCY1vfwYvrzpkXdjJyZwnyP75Z1gOQfWDnJKxS20G51iSYMSIEeXG6zh040qF62XLlpWb5C1dutRsq+32RaS2U8JyFZk3sy447ynS2X7Y8WZWOASQPyTf6QaVP7hoCOByuJJYOFVKduwRKqiU7Dgc40pyEx0dXW5Pk7k8GfvqmJBGIaXOdwlpFELr1q05mnqBkR9u5rPN9h+etnkep6a9jO3dc/aEMLfkrslOy7BLibdXr17mod/97nf2CcGl1Unydh66caUGVGhoqP2LMt4L83G03b6IiBKWq8jpZuawUVhpN7OqmqDrSg+A+Vd9wfwLs0fIRom/6hMTE8tNbo4cKfqBrvQ0JSQkkHomtdQeodQzqcz6Zge3Td3EzmNp1PGB5C9e5Vyj/4PbbdAR+7yTEZB2Ns1piGX8+PHlFmscP368UwzkU/rE33xKJI+v/+11vPK8nNp65XnxxutvOLXr3r17ue9Fjx49zEOuvG8iIjWR+pGvsrmz53L/mPtZubBo47iBsSV3IK2qejAxMTE0bNyQlGUpJZYJN2zc0ClpMpMQA/tGbDbsKe42SiQhUNAumBLLmrno3Mx8bieLBXei5HMrO3Hzon6/B3hptf2kTk2DaXNmE/84uM0ex6GCdruwb/CG8yZzZrzFa/4U1DNyZMZQxsTf/fv3O71ug4YMIpdcGIxZUyl3Qy63DLqFlNNFS5LNHqwylmw79ppou30Rqe2UsFxlFd2BtKpuUAkJCfabZin7paScSnFabXLq1KmiPUW+c27LKeeJqeby4tPFfmBBwW3HCswxMTH4+PmQZ+SVWKHj4+fj9NzM/XkcEjcvoz6N857Bv7f9wLjezXnh1mtZ/00m/7BgT3xKWfnjuAJqw4YN9mTBD+hHUbHGjUC2c20ep+GuSOyJW31KHe5auXKlvUfIcWUVQF1IXZjK6tWrzaTJ7MFqQMkk71TJeSkVTXZFRGoiJSyXUJlLih1VZAfSqrhBmb0F92Pf76Nwia4PJXoLwsLCnFemFCYABXNNHHfFNXtjHDZtM5MFm3NvzMqVK8nLySuxXBoD8hbmOd3Uf/3116KhJgOs0R1oZHkGnzoh2HIu0O78Dv4ywj6JNzo6utzl0o5zY3bv3l2ymCCYxRp3797t/NygzI3uHJ/bsmXL7F+UMZS3dOnSkku2y3gvis9L0Xb7IlKbaQ5LGapiSbGrCm9QCQkJLF++nISEBL5e/vUV1RxyGmpyXKJ72H7YcTimWbNm5a5Mcew1MXtjKrBMePbs2fYvyripz5o1yzxk7msSbCHoxD2Eef8dH58Qcs4e4eSnT9G/ZdEusxs2bCj3uubjOBRNLKOtWXSx8LmVs9Gd43MzJ8qWMdfEcSKtK++Fo9atWxMbG6tkRURqFSUsZaiKJcWXy3GJ7ZVyZRWLKytTzN6WMto69sakp6fbvyjjpm4+jv0G7xVQj8Z9X6ZB/4eweHlzPmUtSXMmk3f2eInt683rOu7ie7hkE6e2pcRQfFVRecmYo5EjR5Y7mXfkyJFmW1feCxGR2k4JSykud0lxQkICK1asuOwlx8VVVS/P3NlzGdhvoNMqloH9LjHx19Fh+6cSvTHltHXsjbn++uvLXdZ8/fXXm21PZPkSMe5f1GnZAyMvh5Svp5Lyn3cwGmeXSBYqumeLUwxlJBaOMTglY6WUMyheMLJvv75Fk3kLVxTlQt9+fUskIRV9L0REajvNYSlFRZYUO954UlNTGf3AaPvW6QWGxA5h7uy5VzR8czmVnSsy56ZwqGnVqlX88MMP9O7d23n1TAFXJv6aK16W47zipSAJceyN6d69e+krdLzt5/bo0QPDMJi1JZFZJ0PxCTbIzTjJ6S+nkJtcsKvsBfsnxyQEKHcejSMzhjImvDouKTZ/RhnlDIrHsHjhYvvcI8d/D0OGlJqEXM68lKqaVyUi4smUsJTC1SXFl5NYXIqrlZ1dSZpcaTt92vQSFYLrN67PjA9mOLUzV7zU55IrXsyhpmYULT92+P58di5Pfh7Pkp32Jcu5h7dxcsU/MAZmOiUhhRvHmbFOn17upNvp06fz7rvvOsdQgQmvhZvXpZ5NLbH6qHgMUPGE0FFFJmFXVWIsIlIdaEioFK7MLfCEHWkB7hl5DytXr3Q6tnL1Su4ZeU+Ja5sJlkPV37Lm5zz8yMOkZqTa9xS5AxgMqRmp/P4R56J9ZgJQxrJmxwTgxImCDVeK7c/CBfBtGMXff8xlyc4TeHtZeKR7I07Me9WerJSycZzj6+tU88dRi2KPU2ypcikTXh0TrEttXlf8PS4cyhsyZAivvPIKgwcPrpShPE+aVyUicrUpYSlDRecWeMKOtAkJCaz7Zl2JYQ9ssHbNWqcbqplg5efbq/5uBr6D/LySCVZCQgJrv1mLMcywJzedgT5gxBolrmtWay5jJY1jvMePH3eulFzQtm54f8IffJczOT6EBVn5/JFedKmTaj+pAq+vKzV/XCk74Op7XFU1oKoiMRYRqS40JFSGis4tqModaW++5WbWLV9nXyXUwn5NywoLAwYOcIrF3ATNF3svgOPcjRznTdDMqr8GpW6u5jg/pyLLhJ1ek8LhmEggGXtl5WE4DxEBTZo0cR66MXwJafsIga1jAWhZJ4f5TwykUT0rCTkVf3379u1b7s6xN9xwg9m2VatW9jY5lDqPxvG6rrzHrg7lVZSr86pERGoa9bBcwqX2vKjSpakWMPIMp14eI6/kEmdzE7TSkgXDeRO0EydOVHi/FFMZPRaOzBvqDpxX6MTbD5coqgjQHHxsYYRn/4PA/FgMw8a57+ZwX0QKjepZgYL9UMpZUWTupwLMnz/f/tzycF6hk2d/bvPnzzfbxsTE4Gv1tafsDsNd+ICv1dfpfXPlPfaEHjcRkZpIPSyVoCp2pE1ISGDtmrX2v9SbUDQp9BisXbjW6S91MwHYAXzlcJGCGjrm4xQMx0CZN1RzV1cKVr+Us/LHcXWMOSR0Eueem4LeDccbamECFXCmB438JuNFPfJJ48zxt8naFMee64s2V9uyZYtzoUTH53bIuT7Q3r177Y+NKPmasbCgiGGBlStXkpudW+oW+rkLc51224WKv8dOc2NK6Y0pvt2+S8rpPRIRqemUsFyCK8uEK3PLdKe/1HMdHmhh/+Q4BNCpU6dyk4UuXbqYp/fs2dP+RRk3VMd6O4XDUmvXr3VOFnzg5ltuLvkcDZy3undYoeMoz2ZQv/9DBEfaJwRn237l9OE3yF96BizOCZYZbxfgNpyTkEPO8bZp08b+RXPsPUcNi+ItfD6FtmzZUtTWUQv7p+KFEiu68sdpboxjYlHK3BhXmBWuC3uPChUMYWlISERqOiUsZbicJaQVWZpa6FKJkDkEUMbeH449FjabrdxkwfEmOWTIkHKrNRe/CX85/8uSe4oMKrmnSEXnWJxKz2JbYB+Ce9YDIH3rIs6unwm2PLOyc0REhFO8vlZfcpflQl+gHvYhr432oRvHeEeOHMnLL79cZjLmuMtskyZN7F+U0dbcCK9ARf89mHNjgim1avXlDt2YPTdl9B5dUc+NiEg1oP/lylAVe6tAxW98MTEx9sTibEqJybENGzcsPTEqI1kobuuWrXTv2d1pb5WGjRuydcvWEm0rc/Lxd/vP8OTnOziTXw9b9gVS1rzHhYjv4XYgE/gWsEBOTo55ekJCgn3oxh9Y43BdK+Rm5zoNjcXExNAgpAFnl50tkYw1CGngFHdkZGS5QyyOu9dCxf89mJvtbVxD/qB8ezHFTPD+/sqqbDuVSSil9+hye25ERKoLJSylqKqVHlDxG19CQgIpp1NKrWicsjDFKQZzLkkZyULxnVijo6M5k3yG1atXs3nz5krZ2Ky8VU39Bw7g60R4d80WbAaE+uWy46NJ5FlPwM8OFynYZM6xd8Nc1WSh1IrRjkMhCQkJnE09C+GU6N04e+qs02tm9oRYirW1UmKVkKv/Hsz5Lisqb05TVa1GExGpLpSwlKKqlpC6cuNzJYaYmBhuHlixJdCOBg0adMlExSWOq5oKD9WrR9I1d/L2avuE15HXN+UG/+Pcce4E+AGDMHsh2EiJ3g1zVVNhxWhwGu5yXNVkvmZl7F5b/DUze0L65JvJi/dObwbePNDllT+O7SuzWKWTciZAi4jUdEpYSlFVf826cuNzNQZzronDKpbBsYOvWhG90lY1+TWKobH3c1zwDcXP28Lf7uzIyOujWLkyqah3Y7XDRQp6NxznY7iyqqnEa1Y4bLLT/qn4a2aWHfi+/LIDnlCqwZx0W8ZqKU26FZGaTglLKVwp+ucKV258rsZQFSuVXOGUjAVBYPBtNMj9HRZ8yU09wYuDmjDy+ijAYT7GY9i37j8KRAGNKFHHx9VVTa68ZuMnjufchXP2/VfqABfg3HfneGzCY6XPS6nAdatqONH8t1PGaikNCYlIjWfUEGlpaQZgpKWlVcr1UlNTjSGxQwzsf9cagDEkdoiRmpp6RdcdEjvE8K7rbXAnBk9hcCeGd11vY0jskKsWQ1XYu3evARiWewKMRi88azR/dqnR/NmlRqPxzxkWvwAjISGhRFvuwuBVh4877c/Rsa1hGEbDxg0NrDi9ZlgxGjZuWCKOir5mrsZQ0esuX77c/vhTxa77lP2c5cuXX/Zr7Mq/HRGR6qKi92/1sJShqnosXNlkzt29Jq6IiYnhpjtHs6/hTfjmN8Ew8jh7+mMuzF/O4FuceyFc7QmpilVNrs5LcXepBqiaDQpFRKoLi2FU1QzBqys9PZ3g4GDS0tIICgpydziXVB2SEFd8uf0YLy3cRVaejbz005xe/CY5J34tc++as2fPltzf5RL73LiyqulSEhIS7BvNFd/pdifmrriX+74MHTbUPpl3cLFkrN/AK1oSX6im/dsRkdqtovdvJSxyRbJy83ll8W7mbTsKQL+YxjzRPYjTxw5V6IbqzptvVSUWl5OMiYjUVkpYpModPpPJY7Pj2HMyHYsFnhoYw8QB1+DlVT3W2VZ1YqGeEBGRS3NbwjJlyhS++uorfv31VwICAujTpw9vvvlmUZ2XUqxfv54BAwaUOL5nzx7atm1boZ+rhOXq+vrnk/zpi5/IyM6jYV0//nVfF25s3cjdYV0WJRYiIu5T0ft3pU+63bBhAxMmTKB79+7k5eXx4osvMnjwYH755Rfq1q1b7rl79+51CrZx48aVHZ5codx8G2+s+JWPNx0CoHuLBky9vyvhwf5ujuzyuVIDSkRE3KPSE5avv3Ye+//kk08IDQ1l+/bt9OvXr9xzQ0NDqV+/fmWHJJXkZNpFJs7ZwfYjZwF4pF9L/jSkDb7eXm6OTEREaroqX9aclpYGQEhIyCXbdunShaysLNq1a8dLL71U6jBRoezsbLKzs83v09PTrzxYKdPGhNNMmhdPamYOgf4+/PPeTgxpH+7usEREpJao0j+NDcNg8uTJ3HjjjXTo0KHMdhEREXz00UcsWLCAr776ijZt2nDLLbewcePGMs+ZMmUKwcHB5kdUVFRVPAWPkJCQwIoVK9i3b99V/9n5NoN3Vycw7pMfSc3MoX1kEEsfv1HJioiIXFVVukpowoQJLFu2jE2bNtG0aVOXzh0+fDgWi4UlS5aU+nhpPSxRUVE1atJtamoqox8Y7bblsSnns5k0L55v950B4P4ezXhleDv8fb2r/GeLiEjt4LZJt4Uef/xxlixZwsaNG11OVgB69erFrFmzynzcarVitVqvJESPVxVF9Cpq+5FUJszeQVJ6FgG+3vz9zg7c1dX191FERKQyVHrCYhgGjz/+OAsXLmT9+vVER0df1nV27NhBREREJUdXfVRVEb1LMQyDjzcd4o0Vv5JnM2jZuC4fPtCNmLDASv9ZIiIiFVXpCcuECROYM2cOixcvJjAwkKSkJACCg4MJCAgA4Pnnn+f48eN89tlnALz33nu0aNGC9u3bk5OTw6xZs1iwYAELFiyo7PCqDVdr3VSG9Kxc/vTFTlbuPgXA8E6RTLmrI/WsKjklIiLuVel3ohkzZgDQv39/p+OffPIJDz30EAAnT54kMTHRfCwnJ4enn36a48ePExAQQPv27Vm2bBnDhg2r7PCqjaosolea3SfSGD87jiMpF/D1tvDybe0Y26s5Fkv12LVWRERqNm3N78Gquoge2IeA5m87ysuLd5OTZ6NJ/QA+GNOVzlH1K+X6IiIi5XH7pFu5cnNnz7XXullYtEpoYOxA5s6eWynXv5iTz0uLfmZB3DEABrRpzDsjO9Ogrl+lXF9ERKSyKGHxYA0aNODr5V9XSa2bA6fPM2F2HL8mZeBlgT8ObsNjN7WqNoULRUSkdlHCUg1Udq2bpT+d4NkvfyIzJ59G9axMvb8LvVs1rLTri4iIVDYlLLVITp6N15fvYeb3hwHoGR3C1Pu7EBpUfQsXiohI7aCEpZY4fu4iE2bHEX/0HACP9W/FHwfF4KPChSIiUg0oYakF1u1N5ql58Zy7kEuQvw/vjurMLdeGuTssERGRClPCUoPl2wzeW5PA1LX7AejYJJjpY7oSFVLHzZGJiIi4RglLDXU6I5snP9/B9wdSABjbqzkv3XYtVh8VLhQRkepHCUsNtOVgCo/P3UFyRjZ1/LyZcldHRnRu4u6wRERELpsSlhrEMAz+Z+NB/rFyL/k2g9ah9ZjxQFeuCVXhQhERqd6UsNQQaRdy+eMXO1mzx1648I7Okbx+V0fq+OktFhGR6k93sxpg17E0xs/ZztHUi/h5e/HK7e0Y3aOZCheKiEiNoYSlGjMMgzk/JvKXJb+Qk28jKiSA6aO70bFpsLtDExERqVRKWKqpzOw8Xly4i0XxJwAYeG0Yb9/bieA6vm6OTEREpPIpYamG9idn8OisOPYnn8fby8IzQ9rwSL+WGgISEZEaSwlLNbM4/jjPf7WLCzn5hAZamTa6Kz2iQ9wdloiISJVSwlJNZOfl89rSX5j1QyIAfVo15F/3daFxoNXNkYmIiFQ9JSzVwNHUC0yYE8dPx9IAePzma5g0MAZvLw0BiYhI7aCExcN9s+cUk+fvJO1iLvXr+PLuqM4MaBPq7rBERESuKiUsHiov38Y/VyXw4YYDAHSOqs8HY7rSpH6AmyMTERG5+pSweKDk9Cwmzt3Bj4dSAXioTwteGHYtfj5ebo5MRETEPZSweJjvD5zhibnxnDmfTV0/b966pxO3Xhfh7rBERETcSgmLh7DZDGZsOMDbq/ZiM6BNWCDTH+hKq8b13B2aiIiI2ylh8QDnLuTw1Lx41u09DcDdXZvytzs6EODn7ebIREREPIMSFjeLP3qOCbPjOH7uIn4+Xrw2oj0jr4/SrrUiIiIOlLC4iWEYfLb5CH9b9gu5+QbNG9Zh+piutI9U4UIREZHilLC4wfnsPJ5b8BNLfzoJwND24bx173UE+atwoYiISGmUsFxle5MyeGz2dg6ezsTHy8JzsW353Y3RGgISEREphxKWq+iruGO8sHAXWbk2woP8+WBMF7o1V+FCERGRS1HCchVk5ebzl//uZu6PRwHo27oR743qTMN6KlwoIiJSEUpYqtiRlEzGz45j94l0LBZ48pbWPH5zaxUuFBERcUGV7fU+ffp0oqOj8ff3p1u3bnz77bfltt+wYQPdunXD39+fli1b8uGHH1ZVaFfNyt1J3DZ1E7tPpBNS149Pf9NDVZZFREQuQ5UkLPPmzWPSpEm8+OKL7Nixg759+xIbG0tiYmKp7Q8dOsSwYcPo27cvO3bs4IUXXuCJJ55gwYIFVRFelcvNt/H3Zb/wh//bTkZWHt2aN2DZEzfSL6axu0MTERGpliyGYRiVfdGePXvStWtXZsyYYR679tprueOOO5gyZUqJ9s8++yxLlixhz5495rFHH32UnTt3snnz5gr9zPT0dIKDg0lLSyMoKOjKn8RlSkrLYuKcOLYdOQvA72+M5tnYtvh6q3ChiIhIcRW9f1f6XTQnJ4ft27czePBgp+ODBw/m+++/L/WczZs3l2g/ZMgQtm3bRm5ubqnnZGdnk56e7vThbpv2neHW979l25GzBFp9+PCBrrx0WzslKyIiIleo0u+kZ86cIT8/n7CwMKfjYWFhJCUllXpOUlJSqe3z8vI4c+ZMqedMmTKF4OBg8yMqKqpynsBlupCTx6R5O0jJzOHaiCD++/iNDO2gKssiIiKVocr+9C++EZphGOVujlZa+9KOF3r++edJS0szP44ePXqFEV+ZOn4+vD2yM/d1j2Lh+D60aFTXrfGIiIjUJJW+rLlRo0Z4e3uX6E1JTk4u0YtSKDw8vNT2Pj4+NGzYsNRzrFYrVqtn7WNyU0xjbtLEWhERkUpX6T0sfn5+dOvWjdWrVzsdX716NX369Cn1nN69e5dov2rVKq6//np8fVVfR0REpLarkiGhyZMn85///If//d//Zc+ePTz11FMkJiby6KOPAvbhnAcffNBs/+ijj3LkyBEmT57Mnj17+N///V8+/vhjnn766aoIT0RERKqZKtnpdtSoUaSkpPDXv/6VkydP0qFDB5YvX07z5s0BOHnypNOeLNHR0SxfvpynnnqKDz74gMjISN5//33uvvvuqghPREREqpkq2YfFHTxlHxYRERGpOLftwyIiIiJS2ZSwiIiIiMdTwiIiIiIeTwmLiIiIeDwlLCIiIuLxlLCIiIiIx1PCIiIiIh5PCYuIiIh4PCUsIiIi4vGqZGt+dyjcsDc9Pd3NkYiIiEhFFd63L7Xxfo1JWDIyMgCIiopycyQiIiLiqoyMDIKDg8t8vMbUErLZbJw4cYLAwEAsFotbYkhPTycqKoqjR4+qnlE1ovetetL7Vj3pfaueqvJ9MwyDjIwMIiMj8fIqe6ZKjelh8fLyomnTpu4OA4CgoCD9IlZDet+qJ71v1ZPet+qpqt638npWCmnSrYiIiHg8JSwiIiLi8ZSwVCKr1corr7yC1Wp1dyjiAr1v1ZPet+pJ71v15AnvW42ZdCsiIiI1l3pYRERExOMpYRERERGPp4RFREREPJ4SFhEREfF4Slgq0fTp04mOjsbf359u3brx7bffujskKcerr76KxWJx+ggPD3d3WFLMxo0bGT58OJGRkVgsFhYtWuT0uGEYvPrqq0RGRhIQEED//v3ZvXu3e4IV06Xet4ceeqjE71+vXr3cE6wAMGXKFLp3705gYCChoaHccccd7N2716mNO3/flLBUknnz5jFp0iRefPFFduzYQd++fYmNjSUxMdHdoUk52rdvz8mTJ82PXbt2uTskKSYzM5NOnToxbdq0Uh9/6623eOedd5g2bRpbt24lPDycQYMGmfXFxD0u9b4BDB061On3b/ny5VcxQiluw4YNTJgwgR9++IHVq1eTl5fH4MGDyczMNNu49ffNkErRo0cP49FHH3U61rZtW+O5555zU0RyKa+88orRqVMnd4chLgCMhQsXmt/bbDYjPDzceOONN8xjWVlZRnBwsPHhhx+6IUIpTfH3zTAMY9y4ccaIESPcEo9UTHJysgEYGzZsMAzD/b9v6mGpBDk5OWzfvp3Bgwc7HR88eDDff/+9m6KSiti3bx+RkZFER0dz3333cfDgQXeHJC44dOgQSUlJTr97VquVm266Sb971cD69esJDQ0lJiaGhx9+mOTkZHeHJA7S0tIACAkJAdz/+6aEpRKcOXOG/Px8wsLCnI6HhYWRlJTkpqjkUnr27Mlnn33GypUr+fe//01SUhJ9+vQhJSXF3aFJBRX+ful3r/qJjY1l9uzZrF27lrfffputW7dy8803k52d7e7QBPtclcmTJ3PjjTfSoUMHwP2/bzWmWrMnsFgsTt8bhlHimHiO2NhY8+uOHTvSu3dvWrVqxaeffsrkyZPdGJm4Sr971c+oUaPMrzt06MD1119P8+bNWbZsGXfddZcbIxOAiRMn8tNPP7Fp06YSj7nr9009LJWgUaNGeHt7l8gwk5OTS2Si4rnq1q1Lx44d2bdvn7tDkQoqXNWl373qLyIigubNm+v3zwM8/vjjLFmyhHXr1tG0aVPzuLt/35SwVAI/Pz+6devG6tWrnY6vXr2aPn36uCkqcVV2djZ79uwhIiLC3aFIBUVHRxMeHu70u5eTk8OGDRv0u1fNpKSkcPToUf3+uZFhGEycOJGvvvqKtWvXEh0d7fS4u3/fNCRUSSZPnszYsWO5/vrr6d27Nx999BGJiYk8+uij7g5NyvD0008zfPhwmjVrRnJyMn/7299IT09n3Lhx7g5NHJw/f579+/eb3x86dIj4+HhCQkJo1qwZkyZN4vXXX6d169a0bt2a119/nTp16jB69Gg3Ri3lvW8hISG8+uqr3H333URERHD48GFeeOEFGjVqxJ133unGqGu3CRMmMGfOHBYvXkxgYKDZkxIcHExAQAAWi8W9v29Vvg6pFvnggw+M5s2bG35+fkbXrl3NpWDimUaNGmVEREQYvr6+RmRkpHHXXXcZu3fvdndYUsy6desMoMTHuHHjDMOwL7V85ZVXjPDwcMNqtRr9+vUzdu3a5d6gpdz37cKFC8bgwYONxo0bG76+vkazZs2McePGGYmJie4Ou1Yr7f0CjE8++cRs487fN0tBkCIiIiIeS3NYRERExOMpYRERERGPp4RFREREPJ4SFhEREfF4SlhERETE4ylhEREREY+nhEVEREQ8nhIWERER8XhKWERERMTjKWERERERj6eERURERDyeEhYRERHxeP8PPbN1O5V6c+oAAAAASUVORK5CYII=\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -5185,7 +5343,7 @@
},
{
"cell_type": "code",
- "execution_count": 75,
+ "execution_count": 28,
"id": "cecf5392",
"metadata": {},
"outputs": [],
@@ -5217,7 +5375,7 @@
},
{
"cell_type": "code",
- "execution_count": 26,
+ "execution_count": 29,
"id": "ddf433f9",
"metadata": {},
"outputs": [],
@@ -5344,7 +5502,7 @@
},
{
"cell_type": "code",
- "execution_count": 27,
+ "execution_count": 30,
"id": "d31bad38",
"metadata": {},
"outputs": [],
@@ -5370,7 +5528,7 @@
},
{
"cell_type": "code",
- "execution_count": 28,
+ "execution_count": 31,
"id": "62b9f588",
"metadata": {},
"outputs": [
@@ -5776,7 +5934,7 @@
},
{
"cell_type": "code",
- "execution_count": 29,
+ "execution_count": 32,
"id": "c58ba41d",
"metadata": {},
"outputs": [],
@@ -5814,7 +5972,7 @@
},
{
"cell_type": "code",
- "execution_count": 30,
+ "execution_count": 33,
"id": "f79792b6",
"metadata": {},
"outputs": [
@@ -5850,27 +6008,27 @@
" \n",
" \n",
" \n",
- " Szczesny \n",
+ " Ochoa \n",
+ " 1.0 \n",
+ " 90 \n",
+ " \n",
+ " \n",
+ " Lovato \n",
" 1.0 \n",
" 80 \n",
" \n",
" \n",
- " Danilo \n",
+ " Gyomber \n",
" 1.0 \n",
- " 90 \n",
+ " 80 \n",
" \n",
" \n",
- " Bremer \n",
+ " Pirola \n",
" 1.0 \n",
- " 90 \n",
+ " 80 \n",
" \n",
" \n",
- " Gatti \n",
- " 0.6 \n",
- " 60 \n",
- " \n",
- " \n",
- " Weah \n",
+ " Mazzocchi \n",
" 1.0 \n",
" 80 \n",
" \n",
@@ -5880,54 +6038,54 @@
" ... \n",
" \n",
" \n",
- " Fabbian \n",
+ " Pisilli \n",
+ " 0.0 \n",
+ " 10 \n",
+ " \n",
+ " \n",
+ " Aouar \n",
+ " 0.4 \n",
+ " 55 \n",
+ " \n",
+ " \n",
+ " El Shaarawy \n",
" 0.0 \n",
" 55 \n",
" \n",
" \n",
- " Aebischer \n",
+ " Belotti \n",
" 0.0 \n",
" 60 \n",
" \n",
" \n",
- " El Azzouzi \n",
+ " Azmoun \n",
" 0.0 \n",
- " 50 \n",
- " \n",
- " \n",
- " Urbanski \n",
- " 0.0 \n",
- " 15 \n",
- " \n",
- " \n",
- " Ndoye \n",
- " 0.4 \n",
- " 60 \n",
+ " 35 \n",
" \n",
" \n",
"\n",
- "479 rows × 2 columns
\n",
+ "476 rows × 2 columns
\n",
""
],
"text/plain": [
- " starter percentage\n",
- "player \n",
- "Szczesny 1.0 80\n",
- "Danilo 1.0 90\n",
- "Bremer 1.0 90\n",
- "Gatti 0.6 60\n",
- "Weah 1.0 80\n",
- "... ... ...\n",
- "Fabbian 0.0 55\n",
- "Aebischer 0.0 60\n",
- "El Azzouzi 0.0 50\n",
- "Urbanski 0.0 15\n",
- "Ndoye 0.4 60\n",
+ " starter percentage\n",
+ "player \n",
+ "Ochoa 1.0 90\n",
+ "Lovato 1.0 80\n",
+ "Gyomber 1.0 80\n",
+ "Pirola 1.0 80\n",
+ "Mazzocchi 1.0 80\n",
+ "... ... ...\n",
+ "Pisilli 0.0 10\n",
+ "Aouar 0.4 55\n",
+ "El Shaarawy 0.0 55\n",
+ "Belotti 0.0 60\n",
+ "Azmoun 0.0 35\n",
"\n",
- "[479 rows x 2 columns]"
+ "[476 rows x 2 columns]"
]
},
- "execution_count": 30,
+ "execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
@@ -5950,7 +6108,7 @@
},
{
"cell_type": "code",
- "execution_count": 80,
+ "execution_count": 42,
"id": "5e63c2b7",
"metadata": {
"scrolled": true
@@ -5960,553 +6118,557 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Maignan: MV 6.17 ± 0.90; FV 4.01 + 2.19 (1.4% cs)\n",
- "Meret: MV 6.15 ± 0.92; FV 5.70 + 1.32 (76.0% cs)\n",
- "Sommer: MV 6.13 ± 0.93; FV 5.39 + 1.32 (41.8% cs)\n",
- "Szczesny: MV 6.08 ± 0.98; FV 5.55 + 1.31 (37.1% cs)\n",
- "Provedel: MV 6.18 ± 0.91; FV 4.91 + 1.62 (10.6% cs)\n",
- "Rui Patricio: MV 6.15 ± 0.92; FV 5.70 + 1.32 (69.4% cs)\n",
- "Di Gregorio: MV 6.18 ± 0.89; FV 4.88 + 1.63 (24.5% cs)\n",
- "Skorupski: MV 5.54 ± 1.16; FV 3.49 + 2.77 (0.8% cs)\n",
- "Milinkovic-Savic V.: MV 6.17 ± 0.90; FV 5.21 + 1.44 (20.8% cs)\n",
- "Terracciano: MV 6.22 ± 0.89; FV 5.19 + 1.49 (26.7% cs)\n",
- "Carnesecchi: MV 5.99 ± 0.99; FV 4.08 + 2.13 (0.9% cs)\n",
- "Falcone: MV 6.15 ± 0.94; FV 5.20 + 1.46 (33.8% cs)\n",
- "Silvestri: MV 6.15 ± 0.91; FV 5.72 + 1.32 (58.6% cs)\n",
- "Ochoa: MV 6.18 ± 0.90; FV 5.03 + 1.56 (14.6% cs)\n",
- "Radunovic: MV 6.20 ± 0.88; FV 5.73 + 1.32 (52.6% cs)\n",
- "Montipo': MV 6.10 ± 0.94; FV 4.64 + 1.77 (5.2% cs)\n",
- "Martinez Jo.: MV 6.05 ± 0.95; FV 3.62 + 2.62 (1.2% cs)\n",
- "Caprile: MV 5.72 ± 1.05; FV 3.46 + 2.84 (0.8% cs)\n",
- "Consigli: MV 6.06 ± 0.93; FV 4.45 + 1.92 (10.8% cs)\n",
- "Musso: MV 6.03 ± 0.96; FV 4.63 + 1.77 (1.2% cs)\n",
- "Turati: MV 6.15 ± 0.91; FV 5.71 + 1.32 (66.5% cs)\n",
- "Perin: MV 6.15 ± 0.92; FV 5.69 + 1.32 (68.9% cs)\n",
- "Berisha: MV 6.13 ± 0.92; FV 3.59 + 2.64 (0.9% cs)\n",
- "Cragno: MV 5.96 ± 0.95; FV 4.24 + 2.00 (5.8% cs)\n",
- "Cerofolini: MV 6.17 ± 0.92; FV 5.19 + 1.48 (26.9% cs)\n",
- "Christensen O.: MV 6.17 ± 0.89; FV 4.19 + 2.05 (2.2% cs)\n",
- "Sportiello: MV 6.18 ± 0.89; FV 4.25 + 2.00 (1.5% cs)\n",
- "Mirante: MV 6.18 ± 0.89; FV 4.25 + 2.00 (1.5% cs)\n",
- "Sepe: MV 6.11 ± 0.92; FV 3.71 + 2.49 (1.2% cs)\n",
- "Leali: MV 6.05 ± 0.95; FV 3.62 + 2.62 (1.2% cs)\n",
- "Lamanna: MV 6.08 ± 0.94; FV 3.54 + 2.70 (1.3% cs)\n",
- "Sommariva: MV 6.05 ± 0.95; FV 3.62 + 2.62 (1.2% cs)\n",
- "Pegolo: MV 5.96 ± 0.95; FV 4.24 + 2.00 (5.8% cs)\n",
- "Perilli: MV 6.21 ± 0.89; FV 5.19 + 1.49 (22.6% cs)\n",
- "Padelli: MV 6.20 ± 0.88; FV 5.69 + 1.32 (36.6% cs)\n",
- "Scuffet: MV 6.20 ± 0.88; FV 5.73 + 1.32 (52.6% cs)\n",
- "Gollini: MV 6.17 ± 0.90; FV 5.68 + 1.32 (75.3% cs)\n",
- "Perisan: MV 5.55 ± 1.12; FV 3.40 + 2.84 (0.8% cs)\n",
- "Audero: MV 6.14 ± 0.93; FV 5.20 + 1.46 (31.7% cs)\n",
- "Di Gennaro: MV 6.13 ± 0.93; FV 5.39 + 1.32 (41.8% cs)\n",
- "Pinsoglio: MV 6.05 ± 1.02; FV 5.26 + 1.37 (30.7% cs)\n",
- "Aresti: MV 6.20 ± 0.88; FV 5.73 + 1.32 (52.6% cs)\n",
- "Fiorillo: MV 6.18 ± 0.90; FV 5.06 + 1.55 (15.7% cs)\n",
- "Rossi F.: MV 6.11 ± 0.91; FV 5.14 + 1.50 (3.0% cs)\n",
- "Costil: MV 6.18 ± 0.90; FV 5.06 + 1.55 (15.7% cs)\n",
- "Ravaglia F.: MV 5.50 ± 1.16; FV 3.48 + 2.78 (0.8% cs)\n",
- "Frattali: MV 6.15 ± 0.91; FV 5.71 + 1.32 (66.5% cs)\n",
- "Contini: MV 6.17 ± 0.90; FV 5.68 + 1.32 (75.3% cs)\n",
- "Brancolini: MV 6.10 ± 0.97; FV 5.21 + 1.44 (32.2% cs)\n",
- "Berardi A.: MV 6.21 ± 0.89; FV 5.19 + 1.49 (22.6% cs)\n",
- "Gemello: MV 6.17 ± 0.90; FV 5.37 + 1.33 (24.7% cs)\n",
- "Boer: MV 6.17 ± 0.90; FV 5.35 + 1.35 (30.5% cs)\n",
- "Bagnolini: MV 5.50 ± 1.16; FV 3.48 + 2.78 (0.8% cs)\n",
- "Svilar: MV 6.17 ± 0.90; FV 5.35 + 1.35 (30.5% cs)\n",
- "Sorrentino A.: MV 6.08 ± 0.94; FV 3.54 + 2.70 (1.3% cs)\n",
- "Martinelli T.: MV 6.18 ± 0.89; FV 4.91 + 1.62 (10.8% cs)\n",
- "Popa: MV 6.17 ± 0.90; FV 5.37 + 1.33 (24.7% cs)\n",
- "Stubljar: MV 5.72 ± 1.05; FV 3.46 + 2.84 (0.8% cs)\n",
- "Gori: MV 6.08 ± 0.94; FV 3.54 + 2.70 (1.3% cs)\n",
- "Borbei: MV 6.10 ± 0.97; FV 5.21 + 1.44 (32.2% cs)\n",
- "Okoye: MV 6.20 ± 0.88; FV 5.69 + 1.32 (36.6% cs)\n",
- "Mandas: MV 6.11 ± 0.92; FV 3.71 + 2.49 (1.2% cs)\n",
- "Dimarco: MV 6.23 ± 0.92; FV 6.55 + 1.55\n",
- "Di Lorenzo: MV 6.38 ± 1.12; FV 7.05 + 2.28\n",
- "Hernandez T.: MV 5.93 ± 1.07; FV 6.12 + 1.43\n",
- "Carlos Augusto: MV 6.13 ± 1.01; FV 6.45 + 1.61\n",
- "Danilo: MV 6.40 ± 0.98; FV 6.83 + 1.83\n",
- "Zappacosta: MV 6.08 ± 1.26; FV 6.48 + 2.11\n",
- "Schuurs: MV 6.16 ± 0.95; FV 6.44 + 1.48\n",
- "Posch: MV 6.19 ± 1.11; FV 6.66 + 1.96\n",
- "Bastoni: MV 6.20 ± 0.88; FV 6.38 + 1.22\n",
- "Pavard: MV 6.03 ± 0.78; FV 6.15 + 1.03\n",
- "Smalling: MV 6.32 ± 0.85; FV 6.68 + 1.55\n",
- "Rrahmani: MV 6.21 ± 1.07; FV 6.53 + 1.55\n",
- "Dumfries: MV 6.08 ± 1.00; FV 6.33 + 1.50\n",
- "Romagnoli: MV 5.94 ± 1.02; FV 6.04 + 1.31\n",
- "Bremer: MV 6.21 ± 1.04; FV 6.54 + 1.66\n",
- "Tomori: MV 5.87 ± 1.08; FV 5.96 + 1.38\n",
- "Spinazzola: MV 6.34 ± 0.91; FV 6.81 + 1.86\n",
- "Darmian: MV 6.08 ± 0.75; FV 6.22 + 1.05\n",
- "Biraghi: MV 5.99 ± 1.04; FV 6.28 + 1.54\n",
- "Bakker: MV 5.98 ± 0.84; FV 5.99 + 1.00\n",
- "Mazzocchi: MV 6.15 ± 0.76; FV 6.30 + 0.96\n",
- "Baschirotto: MV 6.18 ± 0.92; FV 6.46 + 1.45\n",
- "Doig: MV 6.18 ± 1.23; FV 6.75 + 2.23\n",
- "Thiaw: MV 5.86 ± 1.15; FV 5.85 + 1.30\n",
- "Mario Rui: MV 6.15 ± 0.97; FV 6.33 + 1.35\n",
- "Calabria: MV 5.90 ± 0.92; FV 6.04 + 1.22\n",
- "Acerbi: MV 5.98 ± 0.89; FV 6.02 + 1.01\n",
- "Cuadrado: MV 5.96 ± 0.91; FV 6.03 + 1.15\n",
- "Milenkovic: MV 5.76 ± 1.18; FV 5.81 + 1.47\n",
- "Mancini: MV 6.13 ± 0.71; FV 6.26 + 0.89\n",
- "Buongiorno: MV 6.08 ± 0.90; FV 6.29 + 1.33\n",
- "Ebuehi: MV 5.96 ± 0.84; FV 6.10 + 1.12\n",
- "Casale: MV 5.89 ± 0.88; FV 5.98 + 1.13\n",
- "Scalvini: MV 6.00 ± 1.20; FV 5.98 + 1.47\n",
- "Holm: MV 6.10 ± 0.95; FV 6.36 + 1.30\n",
- "Faraoni: MV 6.00 ± 0.91; FV 6.31 + 1.47\n",
- "Kolasinac: MV 6.08 ± 0.89; FV 6.26 + 1.13\n",
- "Perez N.: MV 5.98 ± 0.72; FV 6.01 + 0.86\n",
- "Bijol: MV 6.01 ± 0.84; FV 6.18 + 1.21\n",
- "De Vrij: MV 6.10 ± 0.78; FV 6.20 + 0.98\n",
- "Toloi: MV 6.03 ± 1.13; FV 6.06 + 1.36\n",
- "Djimsiti: MV 5.93 ± 1.01; FV 5.81 + 1.06\n",
- "Rodriguez R.: MV 6.02 ± 0.80; FV 6.08 + 0.98\n",
- "Martin: MV 5.93 ± 0.71; FV 6.05 + 0.91\n",
- "N'dicka: MV 6.14 ± 0.61; FV 6.21 + 0.67\n",
- "Kyriakopoulos: MV 5.91 ± 0.70; FV 5.94 + 0.88\n",
- "Mari': MV 5.69 ± 1.05; FV 5.60 + 1.22\n",
- "Bastoni S.: MV 6.17 ± 1.00; FV 6.52 + 1.65\n",
- "Kristensen: MV 6.19 ± 0.76; FV 6.50 + 1.35\n",
- "Natan: MV 5.98 ± 0.96; FV 6.02 + 1.13\n",
- "Hysaj: MV 5.91 ± 0.82; FV 6.02 + 1.08\n",
- "Izzo: MV 5.91 ± 1.05; FV 5.84 + 1.22\n",
- "D'ambrosio: MV 5.94 ± 0.68; FV 5.83 + 0.71\n",
- "Luperto: MV 5.76 ± 1.16; FV 5.56 + 1.31\n",
- "Marusic: MV 5.82 ± 0.93; FV 5.78 + 1.04\n",
- "Mina: MV 5.87 ± 0.86; FV 6.04 + 1.18\n",
- "Bellanova: MV 5.89 ± 0.62; FV 5.89 + 0.67\n",
- "Caldirola: MV 5.81 ± 1.09; FV 5.83 + 1.36\n",
- "Kalulu: MV 5.62 ± 1.25; FV 5.58 + 1.36\n",
- "Parisi: MV 5.96 ± 0.99; FV 6.10 + 1.36\n",
- "Cambiaso: MV 6.16 ± 0.86; FV 6.29 + 1.13\n",
- "Bradaric: MV 6.00 ± 0.82; FV 6.02 + 0.84\n",
- "Kamara H.: MV 6.00 ± 0.66; FV 6.00 + 0.72\n",
- "Olivera: MV 6.04 ± 0.73; FV 6.16 + 0.96\n",
- "Dodo': MV 5.77 ± 1.10; FV 5.81 + 1.37\n",
- "Lucumi': MV 5.87 ± 0.82; FV 5.69 + 0.89\n",
- "Hien: MV 5.90 ± 0.95; FV 5.73 + 1.04\n",
- "Kristiansen: MV 6.15 ± 0.61; FV 6.17 + 0.74\n",
- "Pedersen: MV 5.98 ± 0.69; FV 6.05 + 0.87\n",
- "Romagnoli S.: MV 6.17 ± 0.94; FV 6.43 + 1.53\n",
- "Juan Jesus: MV 6.16 ± 0.67; FV 6.20 + 0.75\n",
- "Gyomber: MV 5.93 ± 0.84; FV 5.85 + 0.77\n",
- "Alex Sandro: MV 5.92 ± 0.91; FV 5.87 + 1.01\n",
- "Hateboer: MV 5.80 ± 1.13; FV 5.87 + 1.45\n",
- "Palomino: MV 5.92 ± 0.92; FV 5.91 + 0.99\n",
- "Marchizza: MV 6.04 ± 0.72; FV 6.07 + 0.90\n",
- "Lazzari: MV 5.92 ± 0.75; FV 5.88 + 0.77\n",
- "Toljan: MV 5.88 ± 0.82; FV 5.87 + 0.94\n",
- "Zappa: MV 5.91 ± 0.64; FV 5.87 + 0.55\n",
- "Gallo: MV 6.00 ± 0.80; FV 6.01 + 0.93\n",
- "Erlic: MV 5.95 ± 0.76; FV 5.90 + 0.78\n",
- "Vojvoda: MV 5.96 ± 0.78; FV 6.10 + 1.10\n",
- "Llorente D.: MV 6.10 ± 0.80; FV 6.25 + 1.02\n",
- "Dragusin: MV 5.80 ± 1.02; FV 5.95 + 1.30\n",
- "Vasquez: MV 5.91 ± 1.05; FV 5.95 + 1.23\n",
- "Viti: MV 6.19 ± 0.71; FV 6.40 + 1.12\n",
- "Gatti: MV 6.12 ± 0.80; FV 6.16 + 0.93\n",
- "Birindelli: MV 5.86 ± 0.75; FV 5.80 + 0.84\n",
- "Gendrey: MV 5.96 ± 0.74; FV 5.96 + 0.80\n",
- "Beukema: MV 5.99 ± 0.83; FV 5.90 + 0.93\n",
- "Zemura: MV 5.97 ± 0.59; FV 5.95 + 0.62\n",
- "Dossena: MV 5.95 ± 0.63; FV 5.94 + 0.63\n",
- "Azzi: MV 6.01 ± 0.66; FV 6.10 + 0.81\n",
- "Wieteska: MV 6.08 ± 0.74; FV 6.10 + 0.79\n",
- "Masina: MV 6.10 ± 0.93; FV 6.60 + 1.90\n",
- "Pezzella Giu.: MV 5.78 ± 0.72; FV 5.69 + 0.74\n",
- "Sabelli: MV 5.84 ± 0.74; FV 5.93 + 0.91\n",
- "Lykogiannis: MV 5.97 ± 0.63; FV 5.94 + 0.69\n",
- "Djidji: MV 5.92 ± 0.82; FV 5.99 + 1.07\n",
- "Kabasele: MV 5.94 ± 0.68; FV 5.92 + 0.75\n",
- "Ranieri L.: MV 5.65 ± 0.94; FV 5.59 + 1.04\n",
- "Augello: MV 6.03 ± 0.73; FV 6.15 + 0.96\n",
- "Zortea: MV 6.15 ± 1.03; FV 6.48 + 1.51\n",
- "Dawidowicz: MV 5.92 ± 1.01; FV 5.75 + 1.13\n",
- "Pirola: MV 6.05 ± 0.90; FV 6.15 + 1.07\n",
- "Lovato: MV 5.88 ± 0.71; FV 5.81 + 0.63\n",
- "Monterisi: MV 6.39 ± 1.04; FV 7.10 + 2.41\n",
- "Ismajli: MV 5.90 ± 0.96; FV 5.71 + 1.03\n",
- "Martinez Quarta: MV 5.80 ± 0.95; FV 5.73 + 1.00\n",
- "Ruggeri: MV 6.08 ± 1.19; FV 6.19 + 1.54\n",
- "Pongracic: MV 6.01 ± 0.81; FV 6.05 + 0.97\n",
- "Obert: MV 5.98 ± 0.75; FV 5.98 + 0.73\n",
- "Tressoldi: MV 5.99 ± 0.89; FV 6.12 + 1.18\n",
- "Ebosele: MV 5.90 ± 0.67; FV 5.87 + 0.69\n",
- "Hatzidiakos: MV 6.05 ± 0.78; FV 6.08 + 0.86\n",
- "Patric: MV 5.90 ± 0.75; FV 5.82 + 0.75\n",
- "Pellegrini Lu.: MV 5.80 ± 0.73; FV 5.75 + 0.80\n",
- "Lazaro: MV 6.02 ± 0.78; FV 6.15 + 1.11\n",
- "Calafiori: MV 5.96 ± 0.96; FV 5.83 + 1.10\n",
- "Vina: MV 5.84 ± 0.75; FV 5.81 + 0.81\n",
- "Terracciano F.: MV 6.22 ± 0.73; FV 6.34 + 0.93\n",
- "Ehizibue: MV 5.90 ± 0.78; FV 6.04 + 1.14\n",
- "Vogliacco: MV 5.80 ± 1.16; FV 5.82 + 1.37\n",
- "Goldaniga: MV 5.88 ± 0.71; FV 5.85 + 0.63\n"
+ "Sommer: MV 6.21 ± 0.80; FV 5.80 + 1.26 (83.0% cs)\n",
+ "Szczesny: MV 6.17 ± 0.87; FV 5.13 + 1.42 (35.2% cs)\n",
+ "Meret: MV 6.19 ± 0.85; FV 5.46 + 1.32 (44.9% cs)\n",
+ "Provedel: MV 6.22 ± 0.89; FV 5.10 + 1.49 (27.3% cs)\n",
+ "Maignan: MV 6.12 ± 0.97; FV 5.10 + 1.48 (22.0% cs)\n",
+ "Rui Patricio: MV 5.77 ± 0.99; FV 3.50 + 2.58 (1.2% cs)\n",
+ "Skorupski: MV 5.92 ± 0.99; FV 3.55 + 2.61 (1.7% cs)\n",
+ "Milinkovic-Savic V.: MV 5.86 ± 1.02; FV 3.48 + 2.71 (1.2% cs)\n",
+ "Di Gregorio: MV 6.23 ± 0.87; FV 5.10 + 1.53 (26.5% cs)\n",
+ "Falcone: MV 6.18 ± 0.90; FV 5.10 + 1.48 (31.0% cs)\n",
+ "Silvestri: MV 5.80 ± 0.99; FV 3.48 + 2.60 (1.3% cs)\n",
+ "Terracciano: MV 6.22 ± 0.86; FV 5.13 + 1.43 (35.2% cs)\n",
+ "Carnesecchi: MV 6.15 ± 0.89; FV 5.10 + 1.47 (24.5% cs)\n",
+ "Radunovic: MV 5.74 ± 1.06; FV 3.38 + 2.73 (1.1% cs)\n",
+ "Montipo': MV 6.15 ± 0.92; FV 4.74 + 1.67 (12.2% cs)\n",
+ "Martinez Jo.: MV 6.06 ± 0.95; FV 4.42 + 2.07 (6.8% cs)\n",
+ "Ochoa: MV 6.08 ± 0.92; FV 3.59 + 2.49 (2.2% cs)\n",
+ "Caprile: MV 5.95 ± 0.98; FV 3.41 + 2.73 (1.1% cs)\n",
+ "Turati: MV 6.13 ± 0.89; FV 5.46 + 1.28 (34.2% cs)\n",
+ "Consigli: MV 6.03 ± 0.96; FV 3.45 + 2.68 (1.4% cs)\n",
+ "Musso: MV 6.19 ± 0.82; FV 5.78 + 1.26 (76.4% cs)\n",
+ "Cragno: MV 5.97 ± 1.01; FV 3.40 + 2.71 (1.1% cs)\n",
+ "Perin: MV 6.16 ± 0.88; FV 5.68 + 1.26 (67.6% cs)\n",
+ "Berisha: MV 5.93 ± 0.98; FV 3.40 + 2.70 (1.1% cs)\n",
+ "Christensen O.: MV 6.17 ± 0.87; FV 4.67 + 1.84 (12.3% cs)\n",
+ "Sportiello: MV 6.12 ± 0.97; FV 5.10 + 1.48 (22.0% cs)\n",
+ "Mirante: MV 6.12 ± 0.97; FV 5.10 + 1.48 (22.0% cs)\n",
+ "Sepe: MV 6.17 ± 0.90; FV 4.72 + 1.68 (12.4% cs)\n",
+ "Leali: MV 6.06 ± 0.95; FV 4.42 + 2.07 (6.8% cs)\n",
+ "Lamanna: MV 6.21 ± 0.90; FV 5.10 + 1.49 (21.7% cs)\n",
+ "Sommariva: MV 6.06 ± 0.95; FV 4.42 + 2.07 (6.8% cs)\n",
+ "Pegolo: MV 5.99 ± 0.97; FV 3.41 + 2.73 (1.2% cs)\n",
+ "Perilli: MV 6.27 ± 0.85; FV 5.10 + 1.49 (27.4% cs)\n",
+ "Padelli: MV 5.73 ± 1.03; FV 3.43 + 2.67 (1.2% cs)\n",
+ "Scuffet: MV 5.74 ± 1.06; FV 3.38 + 2.73 (1.1% cs)\n",
+ "Gollini: MV 6.07 ± 0.88; FV 5.18 + 1.45 (19.8% cs)\n",
+ "Perisan: MV 5.82 ± 1.02; FV 3.40 + 2.72 (1.1% cs)\n",
+ "Audero: MV 6.21 ± 0.80; FV 5.80 + 1.26 (83.0% cs)\n",
+ "Di Gennaro: MV 6.21 ± 0.80; FV 5.80 + 1.26 (83.0% cs)\n",
+ "Pinsoglio: MV 6.14 ± 0.92; FV 5.10 + 1.47 (25.2% cs)\n",
+ "Aresti: MV 5.74 ± 1.06; FV 3.38 + 2.73 (1.1% cs)\n",
+ "Fiorillo: MV 6.08 ± 0.92; FV 3.59 + 2.49 (2.2% cs)\n",
+ "Cerofolini: MV 6.14 ± 0.92; FV 5.10 + 1.48 (23.1% cs)\n",
+ "Rossi F.: MV 6.20 ± 0.87; FV 5.10 + 1.48 (19.9% cs)\n",
+ "Costil: MV 6.08 ± 0.92; FV 3.59 + 2.49 (2.2% cs)\n",
+ "Ravaglia F.: MV 5.88 ± 1.01; FV 3.48 + 2.61 (2.1% cs)\n",
+ "Frattali: MV 6.13 ± 0.89; FV 5.46 + 1.28 (34.2% cs)\n",
+ "Contini: MV 6.07 ± 0.88; FV 5.18 + 1.45 (19.8% cs)\n",
+ "Brancolini: MV 6.18 ± 0.90; FV 5.10 + 1.47 (29.3% cs)\n",
+ "Berardi A.: MV 6.27 ± 0.85; FV 5.10 + 1.49 (27.4% cs)\n",
+ "Gemello: MV 5.86 ± 0.99; FV 3.59 + 2.54 (1.5% cs)\n",
+ "Boer: MV 5.71 ± 1.04; FV 3.40 + 2.70 (1.1% cs)\n",
+ "Bagnolini: MV 5.88 ± 1.01; FV 3.48 + 2.61 (2.1% cs)\n",
+ "Svilar: MV 5.71 ± 1.04; FV 3.40 + 2.70 (1.1% cs)\n",
+ "Sorrentino A.: MV 6.04 ± 0.91; FV 4.65 + 1.69 (12.3% cs)\n",
+ "Martinelli T.: MV 6.25 ± 0.82; FV 5.12 + 1.47 (27.8% cs)\n",
+ "Popa: MV 5.86 ± 0.99; FV 3.59 + 2.54 (1.5% cs)\n",
+ "Stubljar: MV 5.95 ± 0.98; FV 3.41 + 2.73 (1.1% cs)\n",
+ "Gori: MV 6.21 ± 0.90; FV 5.10 + 1.49 (21.7% cs)\n",
+ "Borbei: MV 6.18 ± 0.90; FV 5.10 + 1.47 (29.3% cs)\n",
+ "Okoye: MV 5.73 ± 1.03; FV 3.43 + 2.67 (1.2% cs)\n",
+ "Mandas: MV 6.17 ± 0.90; FV 4.72 + 1.68 (12.4% cs)\n",
+ "Dimarco: MV 6.56 ± 0.78; FV 6.79 + 1.53\n",
+ "Di Lorenzo: MV 6.31 ± 1.10; FV 6.92 + 2.14\n",
+ "Hernandez T.: MV 6.22 ± 1.04; FV 6.79 + 2.05\n",
+ "Carlos Augusto: MV 6.50 ± 0.91; FV 7.04 + 2.15\n",
+ "Danilo: MV 6.39 ± 0.89; FV 6.85 + 1.87\n",
+ "Zappacosta: MV 6.17 ± 0.91; FV 6.52 + 1.55\n",
+ "Schuurs: MV 6.05 ± 1.14; FV 6.13 + 1.46\n",
+ "Posch: MV 5.98 ± 1.07; FV 6.21 + 1.56\n",
+ "Bastoni: MV 6.52 ± 0.75; FV 6.68 + 1.22\n",
+ "Smalling: MV 6.10 ± 0.92; FV 6.28 + 1.27\n",
+ "Dumfries: MV 6.48 ± 0.92; FV 7.04 + 2.17\n",
+ "Romagnoli: MV 6.13 ± 0.96; FV 6.32 + 1.40\n",
+ "Pavard: MV 6.43 ± 0.71; FV 6.62 + 1.21\n",
+ "Rrahmani: MV 6.06 ± 1.03; FV 6.21 + 1.30\n",
+ "Spinazzola: MV 6.17 ± 0.86; FV 6.48 + 1.43\n",
+ "Buongiorno: MV 6.03 ± 1.19; FV 6.17 + 1.66\n",
+ "Bremer: MV 6.24 ± 1.04; FV 6.69 + 1.89\n",
+ "Tomori: MV 6.14 ± 0.76; FV 6.19 + 0.86\n",
+ "Biraghi: MV 6.08 ± 0.89; FV 6.43 + 1.44\n",
+ "Mancini: MV 5.98 ± 0.99; FV 6.09 + 1.26\n",
+ "Darmian: MV 6.43 ± 0.74; FV 6.66 + 1.30\n",
+ "Bakker: MV 6.04 ± 0.55; FV 6.11 + 0.68\n",
+ "Mazzocchi: MV 5.92 ± 0.84; FV 6.11 + 1.18\n",
+ "Doig: MV 5.86 ± 1.08; FV 6.14 + 1.59\n",
+ "Calabria: MV 6.13 ± 0.82; FV 6.31 + 1.12\n",
+ "Acerbi: MV 6.37 ± 0.71; FV 6.47 + 0.99\n",
+ "Cuadrado: MV 6.36 ± 0.81; FV 6.61 + 1.39\n",
+ "Ebuehi: MV 5.53 ± 0.75; FV 5.50 + 0.77\n",
+ "Casale: MV 5.98 ± 0.82; FV 6.06 + 1.05\n",
+ "Holm: MV 6.11 ± 0.67; FV 6.23 + 0.86\n",
+ "Baschirotto: MV 6.11 ± 1.07; FV 6.41 + 1.59\n",
+ "Bijol: MV 5.77 ± 1.25; FV 5.65 + 1.55\n",
+ "Thiaw: MV 5.86 ± 1.15; FV 5.70 + 1.17\n",
+ "Mario Rui: MV 5.95 ± 0.80; FV 5.98 + 0.84\n",
+ "Milenkovic: MV 5.96 ± 0.89; FV 6.00 + 0.99\n",
+ "Rodriguez R.: MV 5.90 ± 0.99; FV 5.80 + 1.10\n",
+ "Kolasinac: MV 6.04 ± 0.65; FV 6.15 + 0.78\n",
+ "N'dicka: MV 5.98 ± 0.62; FV 5.96 + 0.61\n",
+ "Scalvini: MV 6.09 ± 0.87; FV 6.27 + 1.21\n",
+ "Perez N.: MV 5.79 ± 1.19; FV 5.67 + 1.45\n",
+ "Kristensen: MV 6.01 ± 0.75; FV 6.21 + 1.06\n",
+ "Izzo: MV 5.99 ± 0.91; FV 6.07 + 1.22\n",
+ "De Vrij: MV 6.48 ± 0.73; FV 6.62 + 1.14\n",
+ "Faraoni: MV 5.72 ± 0.79; FV 5.80 + 1.01\n",
+ "Toloi: MV 6.09 ± 0.75; FV 6.18 + 0.94\n",
+ "Kyriakopoulos: MV 5.88 ± 0.68; FV 5.89 + 0.80\n",
+ "Bellanova: MV 5.89 ± 1.08; FV 5.89 + 1.32\n",
+ "Mari': MV 5.82 ± 0.87; FV 5.83 + 1.04\n",
+ "Dodo': MV 5.96 ± 0.80; FV 6.00 + 0.88\n",
+ "Lucumi': MV 5.74 ± 1.04; FV 5.68 + 1.20\n",
+ "Hien: MV 5.70 ± 1.05; FV 5.66 + 1.25\n",
+ "Natan: MV 5.92 ± 0.90; FV 5.96 + 1.02\n",
+ "Hysaj: MV 5.98 ± 0.73; FV 6.08 + 1.02\n",
+ "D'ambrosio: MV 6.00 ± 0.67; FV 5.97 + 0.78\n",
+ "Luperto: MV 5.38 ± 1.16; FV 5.35 + 1.29\n",
+ "Djimsiti: MV 6.03 ± 0.63; FV 6.02 + 0.58\n",
+ "Marusic: MV 5.93 ± 0.81; FV 5.93 + 0.92\n",
+ "Martin: MV 5.85 ± 0.64; FV 5.93 + 0.80\n",
+ "Mina: MV 6.01 ± 0.71; FV 6.20 + 0.96\n",
+ "Toljan: MV 5.61 ± 0.86; FV 5.55 + 0.89\n",
+ "Llorente D.: MV 5.80 ± 0.98; FV 5.77 + 1.05\n",
+ "Martinez Quarta: MV 6.00 ± 0.85; FV 6.07 + 0.97\n",
+ "Bastoni S.: MV 5.55 ± 0.73; FV 5.49 + 0.78\n",
+ "Dragusin: MV 5.81 ± 0.84; FV 5.93 + 1.11\n",
+ "Parisi: MV 6.06 ± 0.79; FV 6.17 + 1.01\n",
+ "Bradaric: MV 5.83 ± 0.97; FV 5.91 + 1.24\n",
+ "Kamara H.: MV 5.96 ± 0.92; FV 5.97 + 1.09\n",
+ "Olivera: MV 5.98 ± 0.67; FV 6.08 + 0.75\n",
+ "Gendrey: MV 5.99 ± 0.71; FV 5.97 + 0.78\n",
+ "Kristiansen: MV 6.02 ± 0.86; FV 6.16 + 1.25\n",
+ "Beukema: MV 5.83 ± 1.11; FV 5.85 + 1.36\n",
+ "Dossena: MV 5.68 ± 0.85; FV 5.65 + 0.99\n",
+ "Pedersen: MV 5.77 ± 0.59; FV 5.78 + 0.62\n",
+ "Juan Jesus: MV 5.99 ± 0.60; FV 5.98 + 0.55\n",
+ "Gyomber: MV 5.83 ± 1.00; FV 5.78 + 1.10\n",
+ "Alex Sandro: MV 5.90 ± 0.90; FV 5.83 + 1.05\n",
+ "Hateboer: MV 6.04 ± 0.83; FV 6.28 + 1.29\n",
+ "Palomino: MV 5.98 ± 0.57; FV 5.99 + 0.58\n",
+ "Marchizza: MV 6.06 ± 0.79; FV 6.18 + 0.98\n",
+ "Zappa: MV 5.60 ± 0.86; FV 5.49 + 0.88\n",
+ "Gallo: MV 5.97 ± 0.87; FV 5.98 + 0.96\n",
+ "Caldirola: MV 5.80 ± 1.00; FV 5.85 + 1.33\n",
+ "Kalulu: MV 5.97 ± 0.84; FV 6.01 + 0.91\n",
+ "Erlic: MV 5.62 ± 0.99; FV 5.54 + 1.03\n",
+ "Vojvoda: MV 5.75 ± 0.87; FV 5.73 + 1.04\n",
+ "Vasquez: MV 5.91 ± 0.75; FV 5.88 + 0.81\n",
+ "Cambiaso: MV 6.18 ± 0.84; FV 6.38 + 1.29\n",
+ "Pongracic: MV 6.07 ± 0.83; FV 6.12 + 1.03\n",
+ "Viti: MV 5.92 ± 0.57; FV 6.01 + 0.74\n",
+ "Gatti: MV 6.18 ± 0.75; FV 6.26 + 0.99\n",
+ "Birindelli: MV 5.92 ± 0.77; FV 5.94 + 0.93\n",
+ "Azzi: MV 5.71 ± 0.73; FV 5.70 + 0.83\n",
+ "Wieteska: MV 5.75 ± 0.92; FV 5.73 + 1.09\n",
+ "Masina: MV 5.77 ± 1.20; FV 6.00 + 1.65\n",
+ "Romagnoli S.: MV 6.05 ± 0.94; FV 6.21 + 1.27\n",
+ "Pezzella Giu.: MV 5.40 ± 0.88; FV 5.34 + 0.81\n",
+ "Sabelli: MV 5.90 ± 0.60; FV 5.92 + 0.71\n",
+ "Lirola: MV 6.20 ± 0.89; FV 6.55 + 1.53\n",
+ "Lazzari: MV 6.01 ± 0.78; FV 6.01 + 0.92\n",
+ "Bani: MV 5.76 ± 1.04; FV 5.88 + 1.37\n",
+ "Djidji: MV 5.66 ± 1.00; FV 5.59 + 1.21\n",
+ "Kabasele: MV 5.67 ± 0.99; FV 5.56 + 1.17\n",
+ "Lazaro: MV 5.99 ± 0.83; FV 6.02 + 1.08\n",
+ "Augello: MV 5.66 ± 0.88; FV 5.69 + 1.01\n",
+ "Zortea: MV 6.11 ± 0.80; FV 6.40 + 1.25\n",
+ "Dawidowicz: MV 5.67 ± 1.02; FV 5.65 + 1.23\n",
+ "Pirola: MV 5.82 ± 1.05; FV 5.93 + 1.38\n",
+ "Lovato: MV 5.67 ± 0.88; FV 5.58 + 0.94\n",
+ "Ruggeri: MV 6.14 ± 0.93; FV 6.40 + 1.39\n",
+ "Vina: MV 5.70 ± 0.95; FV 5.68 + 1.02\n",
+ "Obert: MV 5.57 ± 1.01; FV 5.52 + 1.09\n",
+ "Terracciano F.: MV 6.02 ± 0.79; FV 6.12 + 1.04\n",
+ "Ebosele: MV 5.69 ± 0.90; FV 5.69 + 1.00\n",
+ "Zemura: MV 5.85 ± 0.89; FV 5.81 + 1.02\n",
+ "Hatzidiakos: MV 5.73 ± 0.90; FV 5.73 + 1.07\n",
+ "Patric: MV 6.02 ± 0.66; FV 6.01 + 0.67\n",
+ "Lykogiannis: MV 5.71 ± 0.73; FV 5.78 + 0.85\n",
+ "Pellegrini Lu.: MV 5.86 ± 0.66; FV 5.82 + 0.71\n",
+ "Magnani: MV 5.64 ± 1.15; FV 5.65 + 1.40\n",
+ "Ranieri L.: MV 5.90 ± 0.66; FV 5.89 + 0.70\n",
+ "Carboni A.: MV 5.96 ± 0.78; FV 6.03 + 0.97\n",
+ "Calafiori: MV 5.91 ± 0.97; FV 6.03 + 1.29\n",
+ "Monterisi: MV 6.19 ± 1.07; FV 6.73 + 2.09\n",
+ "Ismajli: MV 5.47 ± 0.86; FV 5.39 + 0.83\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Ferrari G.: MV 5.95 ± 0.93; FV 6.06 + 1.25\n",
- "Lirola: MV 6.12 ± 0.82; FV 6.25 + 1.21\n",
- "Bereszynski: MV 5.62 ± 0.96; FV 5.51 + 1.06\n",
- "Venuti: MV 5.94 ± 0.74; FV 5.93 + 0.79\n",
- "Karsdorp: MV 6.04 ± 0.54; FV 6.08 + 0.55\n",
- "Bani: MV 5.74 ± 1.23; FV 5.80 + 1.52\n",
- "Kjaer: MV 5.89 ± 0.72; FV 5.82 + 0.78\n",
- "Gunter: MV 5.73 ± 1.05; FV 5.53 + 1.10\n",
- "Magnani: MV 5.90 ± 1.08; FV 5.69 + 1.16\n",
- "Soumaoro: MV 5.92 ± 1.01; FV 5.68 + 1.08\n",
- "Carboni A.: MV 5.93 ± 0.80; FV 5.87 + 0.94\n",
- "Di Pardo: MV 5.97 ± 0.73; FV 5.97 + 0.68\n",
- "Zanoli: MV 6.20 ± 1.04; FV 6.70 + 1.91\n",
- "Zima: MV 5.98 ± 0.69; FV 6.04 + 0.83\n",
- "Hefti: MV 5.56 ± 1.12; FV 5.48 + 1.17\n",
- "Ostigard: MV 6.05 ± 0.64; FV 6.05 + 0.69\n",
- "Sambia: MV 6.01 ± 0.67; FV 5.99 + 0.59\n",
- "Bisseck: MV 5.87 ± 0.89; FV 5.85 + 0.99\n",
- "Dorgu: MV 6.08 ± 0.76; FV 6.14 + 0.93\n",
- "Touba: MV 6.06 ± 0.86; FV 6.19 + 1.17\n",
- "Sazonov: MV 6.01 ± 0.90; FV 6.18 + 1.28\n",
- "Rugani: MV 6.07 ± 0.62; FV 6.05 + 0.61\n",
- "De Sciglio: MV 5.92 ± 0.68; FV 5.89 + 0.67\n",
- "Florenzi: MV 5.91 ± 0.74; FV 6.02 + 0.93\n",
- "Fazio: MV 5.96 ± 1.15; FV 5.81 + 1.23\n",
- "Bonifazi: MV 5.81 ± 0.83; FV 5.64 + 0.87\n",
- "Walukiewicz: MV 5.79 ± 0.76; FV 5.69 + 0.76\n",
- "Kumbulla: MV 6.10 ± 1.33; FV 5.92 + 1.35\n",
- "Celik: MV 5.94 ± 0.64; FV 5.90 + 0.65\n",
- "Amione: MV 5.93 ± 0.97; FV 5.82 + 1.14\n",
- "Daniliuc: MV 5.91 ± 0.90; FV 5.83 + 0.92\n",
- "Haps: MV 5.70 ± 1.17; FV 5.77 + 1.36\n",
- "De Winter: MV 5.58 ± 1.18; FV 5.39 + 1.22\n",
- "Cittadini: MV 5.83 ± 1.02; FV 5.82 + 1.25\n",
- "Coppola D.: MV 5.83 ± 0.80; FV 5.70 + 0.87\n",
- "Cacace: MV 5.52 ± 0.88; FV 5.40 + 0.83\n",
- "Ebosse: MV 5.91 ± 0.62; FV 5.86 + 0.65\n",
- "Cabal: MV 5.97 ± 0.53; FV 5.92 + 0.50\n",
- "Missori: MV 5.96 ± 0.82; FV 6.03 + 1.04\n",
- "Kayode: MV 5.92 ± 0.93; FV 5.91 + 1.06\n",
- "Oyono: MV 6.06 ± 0.72; FV 6.07 + 0.91\n",
- "Ferreira J.: MV 5.93 ± 0.66; FV 5.92 + 0.72\n",
- "Corazza: MV 5.89 ± 0.75; FV 5.79 + 0.84\n",
- "Kristensen T.: MV 5.97 ± 0.76; FV 6.02 + 0.90\n",
- "Dermaku: MV 6.04 ± 0.84; FV 6.14 + 1.09\n",
- "Tonelli: MV 5.59 ± 1.09; FV 5.40 + 1.22\n",
- "Capradossi: MV 6.05 ± 0.78; FV 6.08 + 0.86\n",
- "De Silvestri: MV 6.01 ± 0.81; FV 6.09 + 1.04\n",
- "Pereira P.: MV 5.75 ± 0.84; FV 5.68 + 0.96\n",
- "Bettella: MV 5.83 ± 1.02; FV 5.82 + 1.25\n",
- "Okoli: MV 5.96 ± 0.74; FV 5.90 + 0.80\n",
- "Amey: MV 5.99 ± 0.94; FV 5.93 + 1.13\n",
- "Soppy: MV 5.78 ± 0.92; FV 5.77 + 1.12\n",
- "Gila: MV 5.78 ± 0.91; FV 5.75 + 1.00\n",
- "Guessand A.: MV 5.98 ± 0.74; FV 6.01 + 0.86\n",
- "Bronn: MV 5.83 ± 0.74; FV 5.75 + 0.66\n",
- "Guarino: MV 5.93 ± 1.00; FV 5.90 + 1.22\n",
- "Carboni F.: MV 5.70 ± 0.86; FV 5.62 + 0.97\n",
- "Smajlovic: MV 6.06 ± 0.86; FV 6.19 + 1.17\n",
- "Matturro: MV 5.80 ± 1.16; FV 5.82 + 1.37\n",
- "N'guessan: MV 6.01 ± 0.90; FV 6.18 + 1.28\n",
- "Mateus Lusuardi: MV 6.12 ± 0.82; FV 6.25 + 1.21\n",
- "Kalaj: MV 6.12 ± 0.82; FV 6.25 + 1.21\n",
- "Pierozzi: MV 5.82 ± 0.98; FV 5.82 + 1.17\n",
- "Huijsen: MV 6.09 ± 0.87; FV 6.24 + 1.20\n",
- "Bonfanti: MV 5.91 ± 1.07; FV 5.83 + 1.18\n",
- "Pellegrino: MV 5.75 ± 1.09; FV 5.80 + 1.30\n",
- "Zaccagni: MV 6.18 ± 0.96; FV 6.47 + 1.54\n",
- "Koopmeiners: MV 6.42 ± 1.31; FV 7.30 + 2.92\n",
- "Felipe Anderson: MV 6.06 ± 1.07; FV 6.41 + 1.72\n",
- "Luis Alberto: MV 6.18 ± 0.94; FV 6.45 + 1.50\n",
- "Rabiot: MV 6.41 ± 1.18; FV 7.23 + 2.72\n",
- "Zielinski: MV 6.37 ± 0.89; FV 6.74 + 1.67\n",
- "Barella: MV 6.23 ± 0.98; FV 6.63 + 1.74\n",
- "Pulisic: MV 6.05 ± 0.81; FV 6.24 + 1.13\n",
- "Orsolini: MV 6.27 ± 1.24; FV 7.01 + 2.62\n",
- "Chukwueze: MV 5.92 ± 0.70; FV 6.06 + 0.90\n",
- "Strefezza: MV 6.29 ± 1.08; FV 6.87 + 2.16\n",
- "Ferguson: MV 6.37 ± 1.15; FV 7.02 + 2.38\n",
- "Candreva: MV 6.39 ± 1.17; FV 7.11 + 2.47\n",
- "Calhanoglu: MV 6.30 ± 0.93; FV 6.64 + 1.61\n",
- "Frattesi: MV 6.17 ± 1.02; FV 6.55 + 1.72\n",
- "Samardzic: MV 6.14 ± 0.92; FV 6.50 + 1.61\n",
- "Vlasic: MV 6.18 ± 1.08; FV 6.63 + 1.92\n",
- "El Shaarawy: MV 6.44 ± 0.98; FV 6.99 + 2.14\n",
- "Aouar: MV 6.38 ± 1.05; FV 7.06 + 2.38\n",
- "Bonaventura: MV 6.14 ± 1.10; FV 6.54 + 1.81\n",
- "Pellegrini Lo.: MV 6.30 ± 1.10; FV 7.02 + 2.43\n",
- "Politano: MV 6.36 ± 0.87; FV 6.69 + 1.59\n",
- "Malinovskyi: MV 6.04 ± 1.12; FV 6.54 + 2.02\n",
- "Lovric: MV 6.13 ± 0.84; FV 6.43 + 1.43\n",
- "Kamada: MV 5.97 ± 0.91; FV 6.18 + 1.31\n",
- "Lindstrom: MV 6.13 ± 0.90; FV 6.50 + 1.64\n",
- "Lazovic: MV 6.38 ± 1.15; FV 6.97 + 2.25\n",
- "Loftus-Cheek: MV 5.98 ± 0.67; FV 6.04 + 0.79\n",
- "Zambo Anguissa: MV 6.23 ± 0.96; FV 6.61 + 1.59\n",
- "Elmas: MV 6.24 ± 0.98; FV 6.69 + 1.84\n",
- "Kostic: MV 6.33 ± 1.01; FV 6.84 + 1.98\n",
- "Gudmundsson A.: MV 5.99 ± 0.97; FV 6.28 + 1.46\n",
- "Baldanzi: MV 6.15 ± 0.93; FV 6.49 + 1.59\n",
- "Ciurria: MV 6.12 ± 1.10; FV 6.54 + 1.87\n",
- "Pasalic: MV 6.02 ± 1.15; FV 6.47 + 1.78\n",
- "Mkhitaryan: MV 6.11 ± 0.89; FV 6.34 + 1.31\n",
- "Pessina: MV 6.00 ± 0.94; FV 6.19 + 1.36\n",
- "Guendouzi: MV 5.95 ± 0.72; FV 6.07 + 0.90\n",
- "Lobotka: MV 6.19 ± 0.75; FV 6.30 + 0.93\n",
- "Bajrami: MV 6.03 ± 0.83; FV 6.18 + 1.10\n",
- "Ricci S.: MV 6.07 ± 0.85; FV 6.31 + 1.34\n",
- "Reijnders: MV 5.97 ± 0.71; FV 6.09 + 0.90\n",
- "Pogba: MV 6.07 ± 0.76; FV 6.13 + 0.91\n",
- "Renato Sanches: MV 6.14 ± 0.60; FV 6.31 + 0.79\n",
- "Fagioli: MV 6.21 ± 1.02; FV 6.67 + 1.84\n",
- "Ikone': MV 6.01 ± 1.04; FV 6.40 + 1.69\n",
- "Ilic: MV 6.09 ± 0.89; FV 6.35 + 1.41\n",
- "Radonjic: MV 6.29 ± 1.13; FV 6.89 + 2.28\n",
- "Ndoye: MV 6.05 ± 0.82; FV 6.04 + 1.00\n",
- "Ederson D.s.: MV 6.18 ± 0.93; FV 6.49 + 1.40\n",
- "Colpani: MV 6.30 ± 1.06; FV 6.84 + 2.11\n",
- "De Roon: MV 6.10 ± 1.03; FV 6.29 + 1.35\n",
- "Locatelli: MV 6.14 ± 0.79; FV 6.22 + 1.02\n",
- "Barak: MV 5.81 ± 0.86; FV 5.99 + 1.15\n",
- "Saponara: MV 6.26 ± 1.06; FV 6.71 + 1.94\n",
- "Cristante: MV 6.12 ± 0.67; FV 6.23 + 0.81\n",
- "Mandragora: MV 5.90 ± 1.01; FV 6.18 + 1.47\n",
- "Weah: MV 6.06 ± 0.60; FV 6.08 + 0.65\n",
- "Bennacer: MV 6.02 ± 0.92; FV 6.19 + 1.25\n",
- "Klaassen: MV 6.03 ± 0.79; FV 6.22 + 1.16\n",
- "Castrovilli: MV 6.00 ± 1.09; FV 6.39 + 1.73\n",
- "Miranchuk: MV 6.34 ± 1.15; FV 6.90 + 2.15\n",
- "Musah: MV 5.85 ± 0.86; FV 5.92 + 1.06\n",
- "Matheus Henrique: MV 6.02 ± 0.98; FV 6.37 + 1.62\n",
- "De Ketelaere: MV 6.04 ± 1.03; FV 6.40 + 1.50\n",
- "Mboula: MV 5.93 ± 0.61; FV 5.89 + 0.65\n",
- "Cataldi: MV 5.95 ± 0.68; FV 5.92 + 0.73\n",
- "Jankto: MV 6.02 ± 0.60; FV 6.00 + 0.55\n",
- "Sottil: MV 5.86 ± 0.73; FV 6.00 + 0.86\n",
- "Arthur Melo: MV 5.97 ± 0.98; FV 5.99 + 1.16\n",
- "Duda: MV 6.31 ± 1.16; FV 6.88 + 2.21\n",
- "Thorsby: MV 5.71 ± 1.17; FV 5.84 + 1.48\n",
- "Nandez: MV 6.08 ± 0.65; FV 6.15 + 0.76\n",
- "Tameze: MV 5.89 ± 0.84; FV 5.92 + 1.06\n",
- "Marin: MV 6.05 ± 0.94; FV 6.19 + 1.33\n",
- "Messias: MV 5.96 ± 1.20; FV 6.50 + 2.03\n",
- "Mckennie: MV 6.25 ± 0.79; FV 6.50 + 1.23\n",
- "Reinier: MV 6.10 ± 0.81; FV 6.19 + 1.15\n",
- "Zalewski: MV 6.09 ± 0.69; FV 6.26 + 0.92\n",
- "Coulibaly L.: MV 6.14 ± 0.97; FV 6.46 + 1.46\n",
- "Harroui: MV 6.36 ± 0.89; FV 6.81 + 1.82\n",
- "Krunic: MV 5.94 ± 0.76; FV 6.00 + 0.96\n",
- "Paredes: MV 6.07 ± 0.78; FV 6.16 + 1.02\n",
- "Freuler: MV 6.03 ± 0.57; FV 6.00 + 0.63\n",
- "Gagliardini: MV 5.75 ± 0.84; FV 5.62 + 0.87\n",
- "Kastanos: MV 6.10 ± 0.72; FV 6.20 + 0.82\n",
- "Lopez M.: MV 5.73 ± 0.82; FV 5.61 + 0.84\n",
- "Gyasi: MV 5.61 ± 0.88; FV 5.65 + 0.94\n",
- "Frendrup: MV 5.92 ± 0.81; FV 6.02 + 1.03\n",
- "Moro N.: MV 6.18 ± 0.83; FV 6.43 + 1.31\n",
- "Ramadani: MV 6.16 ± 0.91; FV 6.35 + 1.28\n",
- "Mancosu: MV 6.04 ± 0.78; FV 6.05 + 0.83\n",
- "Vecino: MV 5.91 ± 0.88; FV 6.01 + 1.17\n",
- "Strootman: MV 5.84 ± 0.75; FV 5.92 + 0.94\n",
- "Duncan: MV 5.94 ± 0.82; FV 6.15 + 1.21\n",
- "Machin: MV 5.89 ± 0.98; FV 5.89 + 1.22\n",
- "Sensi: MV 5.95 ± 0.93; FV 6.04 + 1.20\n",
- "Linetty: MV 5.95 ± 0.81; FV 6.04 + 1.11\n",
- "Walace: MV 5.93 ± 0.66; FV 5.89 + 0.66\n",
- "Brescianini: MV 6.08 ± 0.68; FV 6.09 + 0.85\n",
- "Pobega: MV 5.88 ± 0.71; FV 5.94 + 0.88\n",
- "Bove: MV 6.11 ± 0.68; FV 6.34 + 1.01\n",
- "Aebischer: MV 6.00 ± 0.63; FV 6.11 + 0.81\n",
- "Thorstvedt: MV 6.00 ± 0.78; FV 6.14 + 1.07\n",
- "Blin: MV 6.01 ± 0.64; FV 6.03 + 0.72\n",
- "Gonzalez J.: MV 5.99 ± 0.80; FV 6.11 + 1.07\n",
- "Oudin: MV 6.15 ± 0.97; FV 6.55 + 1.65\n",
- "Fabbian: MV 6.27 ± 0.87; FV 6.68 + 1.78\n",
- "Rafia: MV 6.14 ± 0.80; FV 6.40 + 1.32\n",
- "Cajuste : MV 6.01 ± 0.94; FV 6.08 + 1.17\n",
- "Kaba: MV 6.03 ± 0.64; FV 6.03 + 0.72\n",
- "Grassi: MV 5.95 ± 0.73; FV 5.90 + 0.78\n",
- "Badelj: MV 5.70 ± 1.06; FV 5.66 + 1.10\n",
- "Mazzitelli: MV 6.07 ± 0.82; FV 6.13 + 1.11\n",
- "Castillejo: MV 6.01 ± 0.76; FV 6.19 + 1.13\n",
- "Hongla: MV 5.99 ± 0.77; FV 6.03 + 0.90\n",
- "Miretti: MV 6.04 ± 0.76; FV 6.12 + 0.91\n",
- "Fazzini: MV 5.87 ± 0.59; FV 5.85 + 0.63\n",
- "Iling Junior: MV 6.08 ± 0.86; FV 6.22 + 1.18\n",
- "Oristanio: MV 5.98 ± 0.67; FV 5.96 + 0.60\n",
- "Boloca: MV 5.92 ± 0.86; FV 5.96 + 1.09\n",
- "Makoumbou: MV 6.01 ± 0.63; FV 6.07 + 0.74\n",
- "Martegani: MV 6.07 ± 0.82; FV 6.08 + 0.85\n",
- "Serdar: MV 5.99 ± 0.77; FV 5.95 + 0.88\n",
- "Payero: MV 5.97 ± 0.74; FV 6.01 + 0.91\n",
- "Baez: MV 6.15 ± 0.67; FV 6.37 + 1.03\n",
- "Deiola: MV 6.03 ± 0.74; FV 6.13 + 0.91\n",
- "Bourabia: MV 6.11 ± 0.76; FV 6.25 + 1.06\n",
- "Rovella: MV 6.02 ± 0.99; FV 6.13 + 1.28\n",
- "Saelemaekers: MV 6.17 ± 0.96; FV 6.52 + 1.58\n",
- "Maldini: MV 6.13 ± 0.93; FV 6.46 + 1.57\n",
- "Racic: MV 6.00 ± 0.72; FV 6.03 + 0.87\n",
- "Kovalenko: MV 5.98 ± 0.69; FV 6.01 + 0.80\n",
- "Maleh: MV 5.74 ± 0.61; FV 5.71 + 0.70\n",
- "Bohinen: MV 5.96 ± 0.53; FV 5.90 + 0.44\n",
- "Ranocchia F.: MV 6.20 ± 0.90; FV 6.46 + 1.40\n"
+ "De Winter: MV 5.82 ± 0.83; FV 5.72 + 0.86\n",
+ "Tressoldi: MV 5.71 ± 0.86; FV 5.74 + 1.05\n",
+ "Ehizibue: MV 5.61 ± 1.06; FV 5.63 + 1.22\n",
+ "Vogliacco: MV 5.84 ± 0.85; FV 5.83 + 0.96\n",
+ "Ferrari G.: MV 5.60 ± 1.00; FV 5.63 + 1.14\n",
+ "Venuti: MV 5.89 ± 0.77; FV 5.86 + 0.79\n",
+ "Karsdorp: MV 5.87 ± 0.56; FV 5.85 + 0.51\n",
+ "Kjaer: MV 5.79 ± 0.54; FV 5.79 + 0.46\n",
+ "Gunter: MV 5.56 ± 1.17; FV 5.50 + 1.38\n",
+ "Soumaoro: MV 5.78 ± 1.30; FV 5.74 + 1.46\n",
+ "Di Pardo: MV 5.60 ± 0.97; FV 5.54 + 1.05\n",
+ "Zanoli: MV 6.08 ± 0.92; FV 6.39 + 1.42\n",
+ "Zima: MV 5.81 ± 0.75; FV 5.74 + 0.77\n",
+ "Hefti: MV 5.70 ± 0.82; FV 5.61 + 0.85\n",
+ "Ostigard: MV 5.76 ± 0.64; FV 5.75 + 0.59\n",
+ "Sambia: MV 5.95 ± 0.78; FV 5.99 + 0.93\n",
+ "Bisseck: MV 6.28 ± 0.75; FV 6.46 + 1.16\n",
+ "Oyono: MV 6.04 ± 0.72; FV 6.08 + 0.78\n",
+ "Ferreira J.: MV 5.62 ± 0.97; FV 5.54 + 1.07\n",
+ "Dorgu: MV 6.10 ± 0.67; FV 6.12 + 0.78\n",
+ "Touba: MV 6.05 ± 0.79; FV 6.12 + 1.00\n",
+ "Sazonov: MV 5.79 ± 1.12; FV 5.72 + 1.35\n",
+ "Rugani: MV 6.13 ± 0.60; FV 6.16 + 0.68\n",
+ "De Sciglio: MV 5.98 ± 0.68; FV 6.00 + 0.75\n",
+ "Goldaniga: MV 5.52 ± 0.98; FV 5.44 + 1.02\n",
+ "Florenzi: MV 6.05 ± 0.58; FV 6.08 + 0.60\n",
+ "De Silvestri: MV 5.83 ± 0.74; FV 5.90 + 0.90\n",
+ "Pereira P.: MV 5.91 ± 0.78; FV 5.94 + 0.95\n",
+ "Fazio: MV 5.84 ± 1.27; FV 5.98 + 1.65\n",
+ "Bereszynski: MV 5.42 ± 0.88; FV 5.36 + 0.83\n",
+ "Bonifazi: MV 5.61 ± 1.09; FV 5.47 + 1.18\n",
+ "Walukiewicz: MV 5.36 ± 0.80; FV 5.30 + 0.63\n",
+ "Okoli: MV 5.95 ± 0.73; FV 5.93 + 0.75\n",
+ "Kumbulla: MV 5.35 ± 1.44; FV 5.20 + 1.41\n",
+ "Celik: MV 5.61 ± 0.86; FV 5.49 + 0.84\n",
+ "Amione: MV 5.61 ± 0.97; FV 5.58 + 1.15\n",
+ "Daniliuc: MV 5.76 ± 1.07; FV 5.79 + 1.33\n",
+ "Soppy: MV 5.73 ± 0.86; FV 5.70 + 1.02\n",
+ "Haps: MV 5.78 ± 0.86; FV 5.83 + 1.08\n",
+ "Cittadini: MV 5.94 ± 0.88; FV 6.05 + 1.19\n",
+ "Coppola D.: MV 5.64 ± 0.87; FV 5.55 + 0.97\n",
+ "Cacace: MV 5.43 ± 0.74; FV 5.34 + 0.66\n",
+ "Ebosse: MV 5.48 ± 0.96; FV 5.41 + 0.93\n",
+ "Guessand A.: MV 5.67 ± 1.05; FV 5.61 + 1.24\n",
+ "Cabal: MV 5.73 ± 0.58; FV 5.63 + 0.59\n",
+ "Missori: MV 5.69 ± 0.77; FV 5.67 + 0.88\n",
+ "Kayode: MV 6.02 ± 0.67; FV 6.05 + 0.67\n",
+ "Corazza: MV 5.66 ± 0.84; FV 5.63 + 0.92\n",
+ "Kristensen T.: MV 5.75 ± 1.13; FV 5.70 + 1.44\n",
+ "Dermaku: MV 6.02 ± 0.85; FV 6.11 + 1.09\n",
+ "Tonelli: MV 5.41 ± 0.96; FV 5.35 + 0.94\n",
+ "Capradossi: MV 5.66 ± 1.03; FV 5.68 + 1.23\n",
+ "Bettella: MV 5.94 ± 0.88; FV 6.05 + 1.19\n",
+ "Amey: MV 5.76 ± 1.09; FV 5.83 + 1.37\n",
+ "Gila: MV 5.93 ± 0.78; FV 5.93 + 0.84\n",
+ "Bronn: MV 5.64 ± 0.91; FV 5.53 + 0.93\n",
+ "Guarino: MV 5.51 ± 0.90; FV 5.48 + 0.94\n",
+ "Carboni F.: MV 5.98 ± 0.78; FV 6.05 + 0.98\n",
+ "Smajlovic: MV 6.03 ± 0.88; FV 6.15 + 1.17\n",
+ "Matturro: MV 5.84 ± 0.85; FV 5.83 + 0.96\n",
+ "N'guessan: MV 5.79 ± 1.12; FV 5.72 + 1.35\n",
+ "Mateus Lusuardi: MV 6.05 ± 0.89; FV 6.20 + 1.15\n",
+ "Kalaj: MV 6.05 ± 0.89; FV 6.20 + 1.15\n",
+ "Pierozzi: MV 5.98 ± 0.72; FV 6.01 + 0.75\n",
+ "Huijsen: MV 6.10 ± 0.84; FV 6.32 + 1.33\n",
+ "Bonfanti: MV 6.06 ± 0.73; FV 6.14 + 0.89\n",
+ "Pellegrino: MV 6.02 ± 0.78; FV 6.08 + 0.88\n",
+ "Comuzzo: MV 5.98 ± 0.72; FV 6.01 + 0.75\n",
+ "Zaccagni: MV 6.34 ± 1.07; FV 7.04 + 2.49\n",
+ "Koopmeiners: MV 6.41 ± 1.04; FV 7.19 + 2.57\n",
+ "Luis Alberto: MV 6.41 ± 1.05; FV 7.19 + 2.62\n",
+ "Felipe Anderson: MV 6.15 ± 1.18; FV 6.87 + 2.56\n",
+ "Rabiot: MV 6.40 ± 1.17; FV 7.36 + 3.00\n",
+ "Zielinski: MV 6.27 ± 0.84; FV 6.58 + 1.44\n",
+ "Barella: MV 6.55 ± 0.86; FV 6.97 + 1.99\n",
+ "Pulisic: MV 6.26 ± 1.01; FV 6.79 + 1.96\n",
+ "Orsolini: MV 6.21 ± 1.25; FV 6.97 + 2.66\n",
+ "Calhanoglu: MV 6.61 ± 0.75; FV 6.79 + 1.50\n",
+ "Strefezza: MV 6.27 ± 1.04; FV 6.84 + 2.11\n",
+ "Chukwueze: MV 6.07 ± 0.75; FV 6.28 + 1.03\n",
+ "Ferguson: MV 6.21 ± 1.08; FV 6.74 + 2.06\n",
+ "Candreva: MV 6.21 ± 1.26; FV 6.97 + 2.68\n",
+ "Frattesi: MV 6.52 ± 1.02; FV 7.36 + 2.82\n",
+ "Samardzic: MV 6.07 ± 1.11; FV 6.59 + 1.98\n",
+ "Vlasic: MV 6.14 ± 1.13; FV 6.69 + 2.07\n",
+ "Bonaventura: MV 6.21 ± 0.98; FV 6.72 + 1.90\n",
+ "Politano: MV 6.33 ± 0.81; FV 6.63 + 1.48\n",
+ "El Shaarawy: MV 6.26 ± 0.92; FV 6.63 + 1.69\n",
+ "Mkhitaryan: MV 6.54 ± 0.94; FV 7.17 + 2.42\n",
+ "Aouar: MV 6.13 ± 1.01; FV 6.63 + 1.90\n",
+ "Malinovskyi: MV 5.95 ± 1.05; FV 6.42 + 1.86\n",
+ "Gudmundsson A.: MV 6.03 ± 0.88; FV 6.33 + 1.41\n",
+ "Kamada: MV 6.09 ± 0.98; FV 6.57 + 1.90\n",
+ "Pellegrini Lo.: MV 5.98 ± 1.15; FV 6.51 + 1.97\n",
+ "Kostic: MV 6.33 ± 1.04; FV 6.99 + 2.31\n",
+ "Radonjic: MV 6.34 ± 1.25; FV 7.23 + 2.88\n",
+ "Baldanzi: MV 5.59 ± 0.76; FV 5.61 + 0.86\n",
+ "Lovric: MV 6.14 ± 1.07; FV 6.60 + 1.88\n",
+ "Lindstrom: MV 6.10 ± 0.81; FV 6.34 + 1.23\n",
+ "Lazovic: MV 6.13 ± 1.02; FV 6.53 + 1.74\n",
+ "Pereyra: MV 6.20 ± 1.23; FV 6.83 + 2.49\n",
+ "Renato Sanches: MV 6.13 ± 0.77; FV 6.36 + 1.08\n",
+ "Pessina: MV 6.09 ± 0.94; FV 6.48 + 1.66\n",
+ "Guendouzi: MV 6.04 ± 0.69; FV 6.16 + 0.86\n",
+ "Loftus-Cheek: MV 6.12 ± 0.64; FV 6.15 + 0.66\n",
+ "Zambo Anguissa: MV 6.08 ± 0.93; FV 6.37 + 1.34\n",
+ "Elmas: MV 6.04 ± 0.98; FV 6.42 + 1.57\n",
+ "Bajrami: MV 5.90 ± 0.65; FV 5.95 + 0.74\n",
+ "Ricci S.: MV 6.02 ± 0.85; FV 6.14 + 1.21\n",
+ "Colpani: MV 6.35 ± 1.05; FV 7.08 + 2.50\n",
+ "Ciurria: MV 6.17 ± 1.02; FV 6.71 + 2.04\n",
+ "De Roon: MV 6.16 ± 0.81; FV 6.38 + 1.18\n",
+ "Pogba: MV 6.09 ± 0.72; FV 6.19 + 0.98\n",
+ "Cristante: MV 6.11 ± 1.04; FV 6.32 + 1.47\n",
+ "Locatelli: MV 6.17 ± 0.77; FV 6.33 + 1.15\n",
+ "Pasalic: MV 6.05 ± 0.80; FV 6.36 + 1.28\n",
+ "Lobotka: MV 6.06 ± 0.65; FV 6.11 + 0.66\n",
+ "Fagioli: MV 6.19 ± 1.02; FV 6.72 + 2.01\n",
+ "Ikone': MV 6.02 ± 0.93; FV 6.40 + 1.55\n",
+ "Ilic: MV 6.03 ± 0.97; FV 6.27 + 1.49\n",
+ "Ndoye: MV 5.83 ± 0.88; FV 5.96 + 1.14\n",
+ "Ederson D.s.: MV 6.13 ± 0.81; FV 6.31 + 1.10\n",
+ "Reijnders: MV 6.17 ± 0.76; FV 6.37 + 1.06\n",
+ "Barak: MV 5.95 ± 0.71; FV 6.05 + 0.81\n",
+ "Saponara: MV 6.02 ± 1.02; FV 6.42 + 1.69\n",
+ "Mandragora: MV 6.03 ± 0.90; FV 6.33 + 1.41\n",
+ "Weah: MV 6.09 ± 0.59; FV 6.21 + 0.74\n",
+ "Bennacer: MV 6.24 ± 0.82; FV 6.54 + 1.32\n",
+ "Duda: MV 6.17 ± 1.11; FV 6.71 + 2.09\n",
+ "Castrovilli: MV 6.04 ± 0.99; FV 6.46 + 1.69\n",
+ "Mckennie: MV 6.35 ± 0.94; FV 6.84 + 1.93\n",
+ "Miranchuk: MV 6.22 ± 0.84; FV 6.60 + 1.49\n",
+ "Matheus Henrique: MV 5.77 ± 0.78; FV 5.87 + 1.02\n",
+ "De Ketelaere: MV 6.06 ± 0.82; FV 6.27 + 1.10\n",
+ "Mboula: MV 5.62 ± 0.76; FV 5.60 + 0.82\n",
+ "Paredes: MV 5.77 ± 1.07; FV 5.70 + 1.16\n",
+ "Sottil: MV 6.01 ± 0.62; FV 6.11 + 0.69\n",
+ "Klaassen: MV 6.40 ± 0.83; FV 6.81 + 1.78\n",
+ "Arthur Melo: MV 6.03 ± 0.76; FV 6.06 + 0.78\n",
+ "Thorsby: MV 5.72 ± 0.90; FV 5.79 + 1.16\n",
+ "Nandez: MV 5.94 ± 0.71; FV 6.04 + 1.00\n",
+ "Tameze: MV 5.80 ± 0.87; FV 5.74 + 1.01\n",
+ "Marin: MV 5.56 ± 0.85; FV 5.54 + 0.93\n",
+ "Messias: MV 5.86 ± 1.02; FV 6.23 + 1.61\n",
+ "Musah: MV 6.03 ± 0.61; FV 6.03 + 0.63\n",
+ "Coulibaly L.: MV 6.05 ± 1.05; FV 6.36 + 1.62\n",
+ "Krunic: MV 6.05 ± 0.68; FV 6.04 + 0.69\n",
+ "Cataldi: MV 5.96 ± 0.69; FV 5.94 + 0.68\n",
+ "Strootman: MV 5.87 ± 0.69; FV 5.92 + 0.86\n",
+ "Duncan: MV 6.08 ± 0.76; FV 6.33 + 1.11\n",
+ "Freuler: MV 5.92 ± 0.65; FV 5.96 + 0.79\n",
+ "Gagliardini: MV 5.88 ± 0.75; FV 5.85 + 0.79\n",
+ "Mazzitelli: MV 6.27 ± 1.12; FV 6.89 + 2.24\n",
+ "Jankto: MV 5.82 ± 0.67; FV 5.79 + 0.73\n",
+ "Kastanos: MV 5.95 ± 0.75; FV 6.08 + 0.99\n",
+ "Gyasi: MV 5.52 ± 0.74; FV 5.45 + 0.77\n",
+ "Reinier: MV 6.04 ± 0.87; FV 6.19 + 1.12\n",
+ "Zalewski: MV 5.97 ± 0.75; FV 6.06 + 0.84\n",
+ "Harroui: MV 6.27 ± 0.92; FV 6.73 + 1.77\n",
+ "Frendrup: MV 5.94 ± 0.68; FV 6.00 + 0.87\n",
+ "Blin: MV 6.03 ± 0.61; FV 6.03 + 0.69\n",
+ "Fabbian: MV 6.09 ± 0.95; FV 6.48 + 1.69\n",
+ "Ramadani: MV 6.20 ± 0.90; FV 6.36 + 1.25\n",
+ "Cajuste : MV 5.92 ± 0.87; FV 5.94 + 0.96\n",
+ "Mancosu: MV 5.69 ± 0.99; FV 5.73 + 1.21\n",
+ "Vecino: MV 5.96 ± 0.82; FV 6.04 + 1.06\n",
+ "Sensi: MV 6.42 ± 0.87; FV 6.88 + 1.88\n",
+ "Walace: MV 5.65 ± 1.00; FV 5.61 + 1.10\n",
+ "Lopez M.: MV 5.90 ± 0.61; FV 5.85 + 0.54\n",
+ "Brescianini: MV 6.09 ± 0.69; FV 6.15 + 0.78\n",
+ "Bove: MV 6.02 ± 0.72; FV 6.17 + 0.90\n",
+ "Aebischer: MV 5.83 ± 0.72; FV 5.98 + 0.96\n",
+ "Thorstvedt: MV 5.86 ± 0.62; FV 5.89 + 0.70\n",
+ "Gonzalez J.: MV 5.98 ± 0.75; FV 6.07 + 1.03\n",
+ "Moro N.: MV 6.03 ± 0.85; FV 6.28 + 1.32\n",
+ "Oudin: MV 6.14 ± 0.94; FV 6.49 + 1.59\n",
+ "Boloca: MV 5.73 ± 0.88; FV 5.75 + 1.07\n",
+ "Rafia: MV 6.15 ± 0.74; FV 6.37 + 1.23\n",
+ "Makoumbou: MV 5.78 ± 0.70; FV 5.80 + 0.83\n",
+ "Kaba: MV 6.04 ± 0.57; FV 6.02 + 0.62\n",
+ "Badelj: MV 5.86 ± 0.75; FV 5.83 + 0.78\n",
+ "Machin: MV 5.95 ± 0.88; FV 6.06 + 1.20\n",
+ "Linetty: MV 5.81 ± 0.84; FV 5.78 + 1.02\n",
+ "Castillejo: MV 5.79 ± 0.59; FV 5.86 + 0.70\n",
+ "Rovella: MV 6.09 ± 0.95; FV 6.22 + 1.27\n",
+ "Pobega: MV 6.02 ± 0.64; FV 6.10 + 0.74\n",
+ "Hongla: MV 5.72 ± 0.82; FV 5.79 + 0.98\n",
+ "Miretti: MV 6.05 ± 0.75; FV 6.26 + 1.08\n",
+ "Fazzini: MV 5.55 ± 0.64; FV 5.42 + 0.65\n",
+ "Iling Junior: MV 6.09 ± 0.84; FV 6.30 + 1.33\n",
+ "Oristanio: MV 5.68 ± 0.84; FV 5.63 + 0.90\n",
+ "Serdar: MV 5.73 ± 0.83; FV 5.75 + 1.00\n",
+ "Payero: MV 5.80 ± 1.04; FV 5.79 + 1.30\n",
+ "Grassi: MV 5.51 ± 0.78; FV 5.42 + 0.78\n",
+ "Baez: MV 6.08 ± 0.75; FV 6.29 + 1.02\n",
+ "Deiola: MV 5.66 ± 0.97; FV 5.68 + 1.14\n",
+ "Garritano: MV 6.22 ± 0.67; FV 6.30 + 0.83\n",
+ "Bourabia: MV 6.07 ± 0.80; FV 6.25 + 1.05\n",
+ "Saelemaekers: MV 5.92 ± 0.90; FV 6.19 + 1.34\n",
+ "Maldini: MV 5.64 ± 0.73; FV 5.69 + 0.89\n",
+ "Racic: MV 5.85 ± 0.63; FV 5.83 + 0.68\n",
+ "Kovalenko: MV 5.61 ± 0.67; FV 5.54 + 0.73\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Infantino: MV 5.72 ± 0.72; FV 5.62 + 0.74\n",
- "Kutlu: MV 5.81 ± 1.00; FV 5.83 + 1.15\n",
- "Tchatchoua: MV 6.02 ± 0.89; FV 6.02 + 1.08\n",
- "Garritano: MV 6.18 ± 0.71; FV 6.25 + 0.97\n",
- "Quina: MV 5.93 ± 0.64; FV 5.90 + 0.68\n",
- "Adopo: MV 5.96 ± 0.78; FV 5.96 + 0.79\n",
- "Maggiore: MV 5.95 ± 0.51; FV 5.90 + 0.45\n",
- "Romero L.: MV 5.99 ± 0.92; FV 6.24 + 1.35\n",
- "Basic: MV 5.96 ± 0.75; FV 6.00 + 0.90\n",
- "Asllani: MV 5.99 ± 0.67; FV 5.99 + 0.74\n",
- "Tchaouna: MV 6.11 ± 0.77; FV 6.13 + 0.80\n",
- "Sulemana I.: MV 5.93 ± 0.59; FV 5.90 + 0.53\n",
- "Barrenechea: MV 6.15 ± 0.72; FV 6.20 + 0.95\n",
- "Gelli: MV 6.12 ± 0.83; FV 6.22 + 1.18\n",
- "Folorunsho: MV 6.06 ± 1.02; FV 6.48 + 1.76\n",
- "Suslov: MV 6.02 ± 0.89; FV 6.02 + 1.08\n",
- "Gaetano: MV 6.29 ± 1.11; FV 6.95 + 2.38\n",
- "Jagiello: MV 5.85 ± 1.13; FV 5.89 + 1.32\n",
- "Obiang: MV 5.94 ± 0.65; FV 5.92 + 0.70\n",
- "Akpa Akpro: MV 5.89 ± 0.98; FV 5.89 + 1.22\n",
- "Urbanski: MV 6.03 ± 0.70; FV 6.01 + 0.85\n",
- "Volpato: MV 6.19 ± 0.89; FV 6.47 + 1.41\n",
- "Vignato S.: MV 5.82 ± 0.79; FV 5.77 + 0.92\n",
- "Hrustic: MV 5.62 ± 0.62; FV 5.59 + 0.65\n",
- "Zarraga: MV 5.89 ± 0.63; FV 5.86 + 0.68\n",
- "Camara E.: MV 5.97 ± 0.74; FV 6.01 + 0.91\n",
- "Amatucci: MV 5.81 ± 0.87; FV 5.78 + 1.00\n",
- "Viola: MV 5.92 ± 0.56; FV 5.88 + 0.46\n",
- "Lulic K.: MV 6.10 ± 0.81; FV 6.19 + 1.15\n",
- "Rog: MV 5.96 ± 0.66; FV 5.93 + 0.58\n",
- "Nicolussi Caviglia: MV 5.96 ± 0.88; FV 6.06 + 1.12\n",
- "Demme: MV 6.01 ± 0.54; FV 5.93 + 0.45\n",
- "Pafundi: MV 6.06 ± 0.57; FV 6.06 + 0.58\n",
- "Adli: MV 5.89 ± 0.76; FV 5.95 + 0.97\n",
- "Bondo: MV 5.94 ± 0.88; FV 5.91 + 1.07\n",
- "Zerbin: MV 6.09 ± 0.87; FV 6.24 + 1.15\n",
- "Carboni V.: MV 6.02 ± 0.76; FV 6.01 + 0.92\n",
- "Faticanti: MV 6.05 ± 0.86; FV 6.16 + 1.14\n",
- "Gineitis: MV 6.01 ± 0.91; FV 6.18 + 1.31\n",
- "Belardinelli: MV 5.97 ± 0.97; FV 5.97 + 1.21\n",
- "El Azzouzi: MV 6.03 ± 0.60; FV 5.99 + 0.65\n",
- "Lipani: MV 5.98 ± 0.88; FV 6.09 + 1.17\n",
- "Joselito: MV 6.02 ± 0.89; FV 6.02 + 1.08\n",
- "Pagano: MV 6.17 ± 0.63; FV 6.27 + 0.75\n",
- "Legowski: MV 6.07 ± 0.84; FV 6.09 + 0.90\n",
- "Prati: MV 6.04 ± 0.78; FV 6.05 + 0.83\n",
- "Osimhen: MV 6.53 ± 1.55; FV 8.10 + 4.32\n",
- "Martinez L.: MV 6.46 ± 1.44; FV 7.80 + 3.82\n",
- "Rafael Leao: MV 6.28 ± 1.29; FV 7.10 + 2.78\n",
- "Immobile: MV 6.03 ± 1.30; FV 6.63 + 2.28\n",
- "Berardi: MV 6.48 ± 1.40; FV 7.78 + 3.75\n",
- "Lukaku: MV 6.46 ± 1.55; FV 7.85 + 3.96\n",
- "Kvaratskhelia: MV 6.47 ± 1.44; FV 7.78 + 3.74\n",
- "Dybala: MV 6.52 ± 1.38; FV 7.84 + 3.77\n",
- "Vlahovic: MV 6.38 ± 1.45; FV 7.50 + 3.50\n",
- "Giroud: MV 6.16 ± 1.17; FV 6.79 + 2.29\n",
- "Scamacca: MV 6.41 ± 1.55; FV 7.58 + 3.65\n",
- "Dia: MV 6.44 ± 1.48; FV 7.73 + 3.78\n",
- "Thuram: MV 6.32 ± 1.09; FV 6.91 + 2.23\n",
- "Lookman: MV 6.40 ± 1.44; FV 7.57 + 3.57\n",
- "Sanabria: MV 6.25 ± 1.34; FV 7.12 + 2.92\n",
- "Arnautovic: MV 6.28 ± 1.19; FV 6.97 + 2.50\n",
- "Retegui: MV 5.80 ± 1.19; FV 6.22 + 1.63\n",
- "Nzola: MV 6.03 ± 1.26; FV 6.60 + 2.09\n",
- "Lauriente': MV 6.31 ± 1.27; FV 7.12 + 2.82\n",
- "Zapata D.: MV 5.99 ± 1.01; FV 6.37 + 1.64\n",
- "Chiesa: MV 6.42 ± 1.20; FV 7.25 + 2.75\n",
- "Milik: MV 6.31 ± 1.09; FV 6.94 + 2.28\n",
- "Gonzalez N.: MV 6.14 ± 1.28; FV 6.82 + 2.41\n",
- "Okafor: MV 5.85 ± 0.69; FV 5.92 + 0.81\n",
- "Toure' E.: MV 5.93 ± 1.06; FV 5.94 + 1.20\n",
- "Beltran L.: MV 5.82 ± 0.96; FV 6.20 + 1.44\n",
- "Lapadula: MV 6.24 ± 0.97; FV 6.74 + 1.96\n",
- "Caprari: MV 6.08 ± 0.97; FV 6.43 + 1.61\n",
- "Sanchez: MV 6.07 ± 0.91; FV 6.36 + 1.40\n",
- "Abraham: MV 6.41 ± 1.28; FV 7.54 + 3.34\n",
- "Caputo: MV 5.98 ± 1.13; FV 6.48 + 1.82\n",
- "Ngonge: MV 6.39 ± 1.35; FV 7.40 + 3.18\n",
- "Muriel: MV 6.22 ± 1.03; FV 6.67 + 1.81\n",
- "Pinamonti: MV 5.93 ± 1.14; FV 6.36 + 1.89\n",
- "Deulofeu: MV 6.38 ± 1.19; FV 7.24 + 2.82\n",
- "Jovic: MV 5.93 ± 1.21; FV 6.40 + 1.96\n",
- "Zirkzee: MV 6.38 ± 1.10; FV 7.00 + 2.32\n",
- "Krstovic: MV 6.28 ± 0.83; FV 6.61 + 1.46\n",
- "Petagna: MV 6.15 ± 0.90; FV 6.52 + 1.62\n",
- "Belotti: MV 6.27 ± 1.05; FV 6.78 + 1.97\n",
- "Simeone: MV 6.22 ± 1.02; FV 6.76 + 2.05\n",
- "Cambiaghi: MV 6.30 ± 1.06; FV 6.80 + 2.03\n",
- "Shomurodov: MV 5.91 ± 0.56; FV 5.96 + 0.56\n",
- "Azmoun: MV 6.23 ± 0.88; FV 6.61 + 1.65\n",
- "Castellanos: MV 5.97 ± 0.68; FV 6.00 + 0.77\n",
- "Thauvin: MV 5.90 ± 0.56; FV 5.99 + 0.67\n",
- "Pedro: MV 5.95 ± 0.90; FV 6.16 + 1.29\n",
- "Brekalo: MV 6.05 ± 1.16; FV 6.55 + 1.95\n",
- "Henry: MV 5.95 ± 1.15; FV 6.41 + 1.77\n",
- "Mulattieri: MV 6.09 ± 0.88; FV 6.50 + 1.71\n",
- "Almqvist: MV 6.18 ± 1.07; FV 6.67 + 1.90\n",
- "Isaksen: MV 5.80 ± 0.84; FV 5.84 + 0.99\n",
- "Karlsson: MV 6.31 ± 0.94; FV 6.76 + 1.90\n",
- "Kean: MV 6.00 ± 1.26; FV 6.56 + 2.29\n",
- "Karamoh: MV 6.08 ± 1.00; FV 6.48 + 1.70\n",
- "Djuric: MV 6.16 ± 0.72; FV 6.29 + 0.94\n",
- "Davis K.: MV 5.99 ± 0.75; FV 6.11 + 1.03\n",
- "Mota: MV 5.91 ± 1.13; FV 6.34 + 1.80\n",
- "Brenner: MV 5.99 ± 0.75; FV 6.11 + 1.03\n",
- "Cheddira: MV 6.28 ± 1.07; FV 7.04 + 2.53\n",
- "Defrel: MV 5.80 ± 0.92; FV 6.06 + 1.38\n",
- "Raspadori: MV 5.95 ± 0.90; FV 6.30 + 1.47\n",
- "Colombo: MV 5.86 ± 1.07; FV 6.26 + 1.68\n",
- "Luvumbo: MV 6.08 ± 0.69; FV 6.25 + 0.96\n",
- "Banda: MV 6.17 ± 0.90; FV 6.46 + 1.44\n",
- "Bonazzoli: MV 6.19 ± 1.15; FV 6.72 + 2.06\n",
- "Pellegri: MV 5.85 ± 0.97; FV 6.17 + 1.47\n",
- "Kouame': MV 5.93 ± 1.01; FV 6.30 + 1.58\n",
- "Piccoli: MV 6.03 ± 1.01; FV 6.50 + 1.78\n",
- "Success: MV 5.93 ± 0.82; FV 6.21 + 1.31\n",
- "Botheim: MV 6.00 ± 0.84; FV 6.24 + 1.13\n",
- "Lucca: MV 5.96 ± 0.88; FV 6.34 + 1.51\n",
- "Caso: MV 6.24 ± 0.84; FV 6.63 + 1.62\n",
- "Cancellieri: MV 5.68 ± 0.61; FV 5.73 + 0.67\n",
- "Jovane: MV 6.09 ± 0.86; FV 6.17 + 0.99\n",
- "Pavoletti: MV 6.09 ± 0.73; FV 6.29 + 1.08\n",
- "Soule': MV 6.32 ± 0.88; FV 6.68 + 1.59\n",
- "Alvarez A.: MV 5.95 ± 0.93; FV 6.28 + 1.50\n",
- "Cuni: MV 6.07 ± 0.62; FV 6.10 + 0.73\n",
- "Ekuban: MV 5.79 ± 0.71; FV 5.94 + 0.85\n",
- "Seck: MV 6.01 ± 0.70; FV 6.13 + 0.85\n",
- "Kvernadze: MV 6.07 ± 0.77; FV 6.15 + 1.03\n",
- "Destro: MV 5.68 ± 0.90; FV 5.90 + 1.10\n",
- "Van Hooijdonk: MV 6.02 ± 0.83; FV 6.04 + 1.04\n",
- "Ceide: MV 5.95 ± 0.71; FV 6.05 + 0.80\n",
- "Maric: MV 5.94 ± 0.78; FV 5.92 + 0.93\n",
- "Shpendi S.: MV 5.92 ± 0.87; FV 5.94 + 1.06\n",
- "Ikwuemesi: MV 5.96 ± 0.69; FV 5.93 + 0.63\n",
- "Puscas: MV 5.82 ± 1.11; FV 5.91 + 1.38\n",
- "Ake' M.: MV 5.96 ± 0.67; FV 5.96 + 0.73\n",
- "Braaf: MV 5.61 ± 0.77; FV 5.80 + 0.94\n",
- "Kallon: MV 5.98 ± 0.92; FV 6.30 + 1.42\n",
- "Kaio Jorge: MV 6.04 ± 0.59; FV 6.10 + 0.62\n",
- "Valencia D.: MV 5.94 ± 0.57; FV 5.91 + 0.55\n",
- "Vivaldo: MV 5.99 ± 0.75; FV 6.11 + 1.03\n",
- "Bidaoui: MV 6.13 ± 0.85; FV 6.30 + 1.28\n",
- "Burnete: MV 6.05 ± 0.80; FV 6.15 + 1.03\n",
- "Corfitzen: MV 6.06 ± 0.89; FV 6.22 + 1.22\n",
- "Stewart: MV 6.09 ± 0.86; FV 6.17 + 0.99\n",
- "Yildiz: MV 6.08 ± 0.88; FV 6.24 + 1.21\n"
+ "Maleh: MV 5.56 ± 0.55; FV 5.41 + 0.57\n",
+ "Bohinen: MV 5.91 ± 0.58; FV 5.86 + 0.56\n",
+ "Ranocchia F.: MV 5.67 ± 0.66; FV 5.72 + 0.80\n",
+ "Folorunsho: MV 5.85 ± 0.93; FV 6.10 + 1.37\n",
+ "Infantino: MV 5.90 ± 0.53; FV 5.87 + 0.48\n",
+ "Martegani: MV 5.93 ± 0.95; FV 6.00 + 1.20\n",
+ "Kutlu: MV 5.86 ± 0.74; FV 5.83 + 0.82\n",
+ "Tchatchoua: MV 5.76 ± 0.97; FV 5.85 + 1.27\n",
+ "Quina: MV 5.99 ± 0.94; FV 6.06 + 1.20\n",
+ "Adopo: MV 5.97 ± 0.78; FV 6.00 + 0.81\n",
+ "Romero L.: MV 6.25 ± 0.88; FV 6.65 + 1.63\n",
+ "Basic: MV 6.04 ± 0.74; FV 6.14 + 1.01\n",
+ "Asllani: MV 6.10 ± 0.56; FV 6.15 + 0.54\n",
+ "Tchaouna: MV 5.86 ± 0.82; FV 5.87 + 1.00\n",
+ "Sulemana I.: MV 5.65 ± 0.72; FV 5.59 + 0.74\n",
+ "Barrenechea: MV 6.04 ± 0.76; FV 6.10 + 0.88\n",
+ "Gelli: MV 6.05 ± 0.86; FV 6.18 + 1.07\n",
+ "Suslov: MV 5.78 ± 0.89; FV 5.85 + 1.15\n",
+ "Gaetano: MV 6.04 ± 0.99; FV 6.54 + 1.83\n",
+ "Jagiello: MV 5.87 ± 0.84; FV 5.86 + 0.96\n",
+ "Obiang: MV 5.86 ± 0.55; FV 5.83 + 0.55\n",
+ "Maggiore: MV 5.89 ± 0.53; FV 5.85 + 0.53\n",
+ "Akpa Akpro: MV 5.95 ± 0.88; FV 6.06 + 1.20\n",
+ "Urbanski: MV 5.91 ± 0.78; FV 6.00 + 1.01\n",
+ "Volpato: MV 5.82 ± 0.72; FV 5.90 + 0.90\n",
+ "Vignato S.: MV 5.87 ± 0.79; FV 5.90 + 0.94\n",
+ "Hrustic: MV 5.54 ± 0.69; FV 5.57 + 0.74\n",
+ "Zarraga: MV 5.47 ± 0.98; FV 5.45 + 0.91\n",
+ "Camara E.: MV 5.79 ± 1.08; FV 5.80 + 1.39\n",
+ "Amatucci: MV 5.93 ± 0.66; FV 5.92 + 0.64\n",
+ "Pagano: MV 5.95 ± 0.62; FV 5.95 + 0.60\n",
+ "Prati: MV 5.70 ± 0.90; FV 5.69 + 1.03\n",
+ "Viola: MV 5.62 ± 0.79; FV 5.53 + 0.76\n",
+ "Lulic K.: MV 6.04 ± 0.87; FV 6.19 + 1.12\n",
+ "Rog: MV 5.71 ± 0.79; FV 5.69 + 0.85\n",
+ "Nicolussi Caviglia: MV 5.90 ± 0.88; FV 6.26 + 1.47\n",
+ "Demme: MV 5.98 ± 0.48; FV 5.93 + 0.39\n",
+ "Pafundi: MV 6.00 ± 0.80; FV 6.02 + 0.86\n",
+ "Adli: MV 5.98 ± 0.69; FV 6.02 + 0.72\n",
+ "Bondo: MV 5.95 ± 0.84; FV 6.06 + 1.11\n",
+ "Zerbin: MV 6.04 ± 0.61; FV 6.09 + 0.64\n",
+ "Carboni V.: MV 6.00 ± 0.78; FV 6.09 + 1.00\n",
+ "Faticanti: MV 6.03 ± 0.86; FV 6.14 + 1.14\n",
+ "Gineitis: MV 5.91 ± 0.92; FV 5.91 + 1.14\n",
+ "Belardinelli: MV 5.53 ± 0.86; FV 5.50 + 0.92\n",
+ "El Azzouzi: MV 5.93 ± 0.69; FV 6.02 + 0.87\n",
+ "Lipani: MV 5.76 ± 0.82; FV 5.81 + 1.02\n",
+ "Joselito: MV 5.76 ± 0.97; FV 5.85 + 1.27\n",
+ "Legowski: MV 5.96 ± 1.03; FV 6.12 + 1.39\n",
+ "Ibrahimovic A.: MV 6.04 ± 0.87; FV 6.19 + 1.12\n",
+ "Osimhen: MV 6.47 ± 1.55; FV 7.89 + 4.08\n",
+ "Martinez L.: MV 6.56 ± 1.27; FV 7.97 + 3.97\n",
+ "Rafael Leao: MV 6.50 ± 1.19; FV 7.58 + 3.28\n",
+ "Lukaku: MV 6.26 ± 1.46; FV 7.29 + 3.16\n",
+ "Berardi: MV 6.32 ± 1.38; FV 7.38 + 3.38\n",
+ "Immobile: MV 6.17 ± 1.35; FV 7.10 + 3.02\n",
+ "Vlahovic: MV 6.41 ± 1.47; FV 7.70 + 3.82\n",
+ "Dybala: MV 6.41 ± 1.49; FV 7.69 + 3.78\n",
+ "Kvaratskhelia: MV 6.42 ± 1.25; FV 7.47 + 3.19\n",
+ "Giroud: MV 6.46 ± 1.20; FV 7.54 + 3.25\n",
+ "Scamacca: MV 6.36 ± 1.30; FV 7.60 + 3.52\n",
+ "Thuram: MV 6.59 ± 1.03; FV 7.50 + 3.06\n",
+ "Lookman: MV 6.42 ± 1.29; FV 7.62 + 3.49\n",
+ "Dia: MV 6.30 ± 1.40; FV 7.39 + 3.41\n",
+ "Arnautovic: MV 6.52 ± 1.09; FV 7.49 + 3.08\n",
+ "Retegui: MV 5.91 ± 1.23; FV 6.42 + 1.94\n",
+ "Sanabria: MV 6.17 ± 1.33; FV 7.01 + 2.74\n",
+ "Nzola: MV 5.95 ± 1.18; FV 6.51 + 2.00\n",
+ "Lauriente': MV 6.08 ± 1.18; FV 6.56 + 2.17\n",
+ "Zapata D.: MV 5.97 ± 0.99; FV 6.36 + 1.60\n",
+ "Chiesa: MV 6.46 ± 1.19; FV 7.51 + 3.21\n",
+ "Milik: MV 6.31 ± 1.09; FV 7.06 + 2.53\n",
+ "Gonzalez N.: MV 6.23 ± 1.09; FV 7.02 + 2.56\n",
+ "Okafor: MV 6.01 ± 0.51; FV 6.00 + 0.49\n",
+ "Pinamonti: MV 5.83 ± 1.08; FV 6.21 + 1.68\n",
+ "Beltran L.: MV 6.04 ± 0.96; FV 6.51 + 1.76\n",
+ "Caprari: MV 6.04 ± 1.00; FV 6.50 + 1.79\n",
+ "Sanchez: MV 6.45 ± 0.96; FV 7.08 + 2.32\n",
+ "Caputo: MV 5.53 ± 0.73; FV 5.57 + 0.78\n",
+ "Toure' E.: MV 6.05 ± 0.74; FV 6.17 + 0.94\n",
+ "Krstovic: MV 6.38 ± 0.87; FV 6.82 + 1.82\n",
+ "Belotti: MV 6.10 ± 0.99; FV 6.62 + 1.91\n",
+ "Muriel: MV 6.18 ± 0.82; FV 6.47 + 1.38\n",
+ "Lapadula: MV 5.86 ± 0.93; FV 6.18 + 1.49\n",
+ "Jovic: MV 6.09 ± 1.18; FV 6.80 + 2.40\n",
+ "Abraham: MV 6.11 ± 1.24; FV 6.87 + 2.48\n",
+ "Zirkzee: MV 6.21 ± 1.02; FV 6.73 + 2.01\n",
+ "Ngonge: MV 5.98 ± 1.16; FV 6.53 + 2.01\n",
+ "Petagna: MV 5.88 ± 0.98; FV 6.21 + 1.53\n",
+ "Simeone: MV 5.84 ± 0.92; FV 6.24 + 1.42\n",
+ "Deulofeu: MV 6.35 ± 1.27; FV 7.35 + 3.17\n",
+ "Pedro: MV 6.05 ± 0.93; FV 6.42 + 1.61\n",
+ "Shomurodov: MV 5.70 ± 0.75; FV 5.88 + 1.01\n",
+ "Azmoun: MV 5.89 ± 0.82; FV 6.19 + 1.27\n",
+ "Castellanos: MV 5.96 ± 0.56; FV 5.95 + 0.57\n",
+ "Cheddira: MV 6.28 ± 1.16; FV 7.20 + 2.82\n",
+ "Karlsson: MV 6.12 ± 0.90; FV 6.47 + 1.58\n",
+ "Brekalo: MV 6.05 ± 1.02; FV 6.57 + 1.89\n",
+ "Cambiaghi: MV 5.69 ± 0.88; FV 5.81 + 1.11\n",
+ "Henry: MV 5.81 ± 0.97; FV 6.12 + 1.42\n",
+ "Mulattieri: MV 5.79 ± 0.61; FV 5.94 + 0.90\n",
+ "Almqvist: MV 6.21 ± 1.07; FV 6.75 + 2.05\n",
+ "Isaksen: MV 5.93 ± 0.76; FV 5.96 + 0.90\n",
+ "Kean: MV 6.03 ± 1.25; FV 6.69 + 2.43\n",
+ "Karamoh: MV 5.98 ± 0.84; FV 6.26 + 1.35\n",
+ "Thauvin: MV 5.60 ± 0.81; FV 5.73 + 0.89\n",
+ "Kouame': MV 6.04 ± 1.10; FV 6.67 + 2.17\n",
+ "Raspadori: MV 5.94 ± 0.98; FV 6.34 + 1.57\n",
+ "Colombo: MV 5.96 ± 1.16; FV 6.50 + 2.05\n",
+ "Luvumbo: MV 5.89 ± 0.74; FV 6.00 + 1.00\n",
+ "Mota: MV 5.89 ± 1.13; FV 6.33 + 1.83\n",
+ "Brenner: MV 5.77 ± 1.10; FV 5.79 + 1.40\n",
+ "Bonazzoli: MV 5.90 ± 0.98; FV 6.27 + 1.53\n",
+ "Djuric: MV 5.85 ± 0.74; FV 6.03 + 1.04\n",
+ "Davis K.: MV 5.77 ± 1.10; FV 5.79 + 1.40\n",
+ "Banda: MV 6.19 ± 0.86; FV 6.48 + 1.47\n",
+ "Defrel: MV 5.68 ± 0.68; FV 5.73 + 0.86\n",
+ "Sansone: MV 6.34 ± 1.14; FV 7.16 + 2.70\n",
+ "Pellegri: MV 5.71 ± 0.85; FV 5.89 + 1.07\n",
+ "Piccoli: MV 5.99 ± 0.81; FV 6.29 + 1.37\n",
+ "Success: MV 5.80 ± 0.92; FV 6.09 + 1.26\n",
+ "Botheim: MV 5.78 ± 0.75; FV 5.89 + 1.01\n",
+ "Lucca: MV 5.79 ± 0.95; FV 5.97 + 1.23\n",
+ "Caso: MV 6.26 ± 1.01; FV 6.82 + 2.03\n",
+ "Jovane: MV 5.96 ± 1.03; FV 6.15 + 1.41\n",
+ "Soule': MV 6.35 ± 0.87; FV 6.71 + 1.61\n",
+ "Pavoletti: MV 5.71 ± 0.72; FV 5.79 + 0.92\n",
+ "Cancellieri: MV 5.53 ± 0.62; FV 5.44 + 0.60\n",
+ "Seck: MV 6.14 ± 0.72; FV 6.29 + 1.00\n",
+ "Alvarez A.: MV 5.81 ± 0.68; FV 5.90 + 0.87\n",
+ "Cuni: MV 6.04 ± 0.63; FV 6.08 + 0.69\n",
+ "Ekuban: MV 5.79 ± 0.65; FV 5.90 + 0.78\n",
+ "Maric: MV 5.96 ± 0.72; FV 6.01 + 0.89\n",
+ "Cruz: MV 5.75 ± 0.96; FV 5.86 + 1.25\n",
+ "Destro: MV 5.50 ± 0.81; FV 5.47 + 0.82\n",
+ "Van Hooijdonk: MV 5.91 ± 0.92; FV 6.07 + 1.25\n",
+ "Ceide: MV 5.70 ± 0.72; FV 5.72 + 0.73\n",
+ "Kvernadze: MV 6.01 ± 0.81; FV 6.11 + 0.98\n",
+ "Ikwuemesi: MV 5.87 ± 0.85; FV 5.92 + 1.03\n",
+ "Puscas: MV 5.85 ± 0.85; FV 5.89 + 1.01\n",
+ "Ake' M.: MV 5.77 ± 1.02; FV 5.75 + 1.22\n",
+ "Braaf: MV 5.61 ± 0.69; FV 5.75 + 0.86\n",
+ "Kallon: MV 5.85 ± 0.86; FV 6.11 + 1.32\n",
+ "Kaio Jorge: MV 6.01 ± 0.61; FV 6.08 + 0.63\n",
+ "Vivaldo: MV 5.77 ± 1.10; FV 5.79 + 1.40\n",
+ "Bidaoui: MV 6.05 ± 0.89; FV 6.26 + 1.21\n",
+ "Shpendi S.: MV 5.53 ± 0.73; FV 5.47 + 0.75\n",
+ "Burnete: MV 6.05 ± 0.80; FV 6.14 + 1.05\n",
+ "Corfitzen: MV 6.04 ± 0.89; FV 6.21 + 1.25\n",
+ "Stewart: MV 5.96 ± 1.03; FV 6.15 + 1.41\n",
+ "Yildiz: MV 6.10 ± 0.87; FV 6.37 + 1.41\n"
]
},
{
@@ -6575,113 +6737,113 @@
" \n",
" \n",
" \n",
- " Rossi F. \n",
- " P \n",
- " Atalanta \n",
- " Fiorentina \n",
- " 0 \n",
- " 0.0 \n",
- " 1 \n",
- " 6.109952 \n",
- " 0.455623 \n",
- " 5.139983 \n",
- " 0.751770 \n",
- " 6.129853 \n",
- " 0.545903 \n",
- " -0.026930 \n",
- " 1.024186 \n",
- " 5.328891 \n",
- " 1.142012 \n",
- " -0.122005 \n",
- " 1.029078 \n",
- " 3.029286 \n",
- " \n",
- " \n",
" Musso \n",
" P \n",
" Atalanta \n",
- " Fiorentina \n",
- " 0 \n",
+ " Cagliari \n",
+ " 1 \n",
" 1.0 \n",
- " 80 \n",
- " 6.026820 \n",
- " 0.479838 \n",
- " 4.632784 \n",
- " 0.883422 \n",
- " 6.040918 \n",
- " 0.574122 \n",
- " -0.018150 \n",
- " 1.038445 \n",
- " 5.058631 \n",
- " 1.267127 \n",
- " -0.248430 \n",
- " 0.992984 \n",
- " 1.178538 \n",
+ " 70 \n",
+ " 6.187904 \n",
+ " 0.409565 \n",
+ " 5.778299 \n",
+ " 0.631974 \n",
+ " 6.172151 \n",
+ " 0.484012 \n",
+ " 0.024084 \n",
+ " 1.080489 \n",
+ " 6.551383 \n",
+ " 0.575009 \n",
+ " -0.854511 \n",
+ " 1.143475 \n",
+ " 76.430595 \n",
" \n",
" \n",
" Carnesecchi \n",
" P \n",
" Atalanta \n",
- " Fiorentina \n",
- " 0 \n",
+ " Cagliari \n",
+ " 1 \n",
" 0.0 \n",
" 5 \n",
- " 5.988562 \n",
- " 0.492755 \n",
- " 4.077794 \n",
- " 1.066340 \n",
- " 6.002525 \n",
- " 0.589996 \n",
- " -0.017496 \n",
- " 1.046207 \n",
- " 4.783760 \n",
- " 1.400133 \n",
- " -0.389061 \n",
- " 0.954299 \n",
- " 0.944095 \n",
+ " 6.153384 \n",
+ " 0.442585 \n",
+ " 5.099182 \n",
+ " 0.736154 \n",
+ " 6.095662 \n",
+ " 0.508426 \n",
+ " 0.083887 \n",
+ " 1.071720 \n",
+ " 5.316064 \n",
+ " 1.103085 \n",
+ " -0.144701 \n",
+ " 0.998809 \n",
+ " 24.471429 \n",
+ " \n",
+ " \n",
+ " Rossi F. \n",
+ " P \n",
+ " Atalanta \n",
+ " Cagliari \n",
+ " 1 \n",
+ " 0.0 \n",
+ " 1 \n",
+ " 6.202195 \n",
+ " 0.436560 \n",
+ " 5.098540 \n",
+ " 0.738788 \n",
+ " 6.170873 \n",
+ " 0.510068 \n",
+ " 0.045397 \n",
+ " 1.057536 \n",
+ " 5.311903 \n",
+ " 1.107865 \n",
+ " -0.141756 \n",
+ " 0.997465 \n",
+ " 19.948235 \n",
" \n",
" \n",
" Zappacosta \n",
" D \n",
" Atalanta \n",
- " Fiorentina \n",
- " 0 \n",
- " 1.0 \n",
- " 90 \n",
- " 6.083625 \n",
- " 0.627924 \n",
- " 6.479160 \n",
- " 1.053932 \n",
- " 5.897724 \n",
- " 0.687691 \n",
- " 0.197360 \n",
- " 0.773252 \n",
- " 5.540676 \n",
- " 1.267551 \n",
- " 0.512369 \n",
- " 1.299510 \n",
+ " Cagliari \n",
+ " 1 \n",
+ " 0.6 \n",
+ " 60 \n",
+ " 6.174058 \n",
+ " 0.452587 \n",
+ " 6.519552 \n",
+ " 0.775398 \n",
+ " 6.110474 \n",
+ " 0.514245 \n",
+ " 0.090884 \n",
+ " 0.896925 \n",
+ " 5.874933 \n",
+ " 0.976198 \n",
+ " 0.463032 \n",
+ " 1.299677 \n",
" 0.000000 \n",
" \n",
" \n",
" Zortea \n",
" D \n",
" Atalanta \n",
- " Fiorentina \n",
- " 0 \n",
- " 0.0 \n",
- " 0 \n",
- " 6.150186 \n",
- " 0.516681 \n",
- " 6.476537 \n",
- " 0.757362 \n",
- " 6.067196 \n",
- " 0.583386 \n",
- " 0.104385 \n",
- " 0.850812 \n",
- " 5.875261 \n",
- " 0.978617 \n",
- " 0.433943 \n",
- " 1.299440 \n",
+ " Cagliari \n",
+ " 1 \n",
+ " 0.4 \n",
+ " 40 \n",
+ " 6.106819 \n",
+ " 0.397738 \n",
+ " 6.403875 \n",
+ " 0.627450 \n",
+ " 6.025298 \n",
+ " 0.444725 \n",
+ " 0.134716 \n",
+ " 0.941082 \n",
+ " 5.877332 \n",
+ " 0.785433 \n",
+ " 0.469323 \n",
+ " 1.299658 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -6707,187 +6869,187 @@
" ... \n",
" \n",
" \n",
- " Bonazzoli \n",
- " A \n",
- " Verona \n",
- " Bologna \n",
- " 1 \n",
- " 0.4 \n",
- " 60 \n",
- " 6.194463 \n",
- " 0.573160 \n",
- " 6.719338 \n",
- " 1.030227 \n",
- " 5.917695 \n",
- " 0.593300 \n",
- " 0.338062 \n",
- " 0.807901 \n",
- " 5.607124 \n",
- " 1.010478 \n",
- " 0.712825 \n",
- " 1.299556 \n",
- " 0.000000 \n",
- " \n",
- " \n",
" Henry \n",
" A \n",
" Verona \n",
- " Bologna \n",
- " 1 \n",
+ " Milan \n",
+ " 0 \n",
" 0.0 \n",
" 0 \n",
- " 5.948657 \n",
- " 0.576159 \n",
- " 6.411596 \n",
- " 0.883478 \n",
- " 5.582782 \n",
- " 0.562697 \n",
- " 0.465999 \n",
- " 0.808078 \n",
- " 5.444796 \n",
- " 0.848190 \n",
- " 0.732595 \n",
- " 1.299526 \n",
+ " 5.806732 \n",
+ " 0.484893 \n",
+ " 6.124626 \n",
+ " 0.710677 \n",
+ " 5.555864 \n",
+ " 0.490855 \n",
+ " 0.369405 \n",
+ " 0.852631 \n",
+ " 5.422048 \n",
+ " 0.779401 \n",
+ " 0.606238 \n",
+ " 1.299682 \n",
" 0.000000 \n",
" \n",
" \n",
" Kallon \n",
" A \n",
" Verona \n",
- " Bologna \n",
- " 1 \n",
+ " Milan \n",
+ " 0 \n",
" 0.0 \n",
" 0 \n",
- " 5.984714 \n",
- " 0.458801 \n",
- " 6.300039 \n",
- " 0.708241 \n",
- " 5.767212 \n",
- " 0.467892 \n",
- " 0.336912 \n",
- " 0.899963 \n",
- " 5.570446 \n",
- " 0.741041 \n",
- " 0.651962 \n",
- " 1.299474 \n",
+ " 5.847151 \n",
+ " 0.430028 \n",
+ " 6.110572 \n",
+ " 0.658053 \n",
+ " 5.650604 \n",
+ " 0.441275 \n",
+ " 0.323210 \n",
+ " 0.904855 \n",
+ " 5.475328 \n",
+ " 0.739265 \n",
+ " 0.582358 \n",
+ " 1.299658 \n",
" 0.000000 \n",
" \n",
" \n",
" Djuric \n",
" A \n",
" Verona \n",
- " Bologna \n",
- " 1 \n",
- " 0.0 \n",
+ " Milan \n",
+ " 0 \n",
+ " 0.4 \n",
" 60 \n",
- " 6.158875 \n",
- " 0.357994 \n",
- " 6.288688 \n",
- " 0.468988 \n",
- " 6.140615 \n",
- " 0.418206 \n",
- " 0.032221 \n",
- " 0.990635 \n",
- " 5.922352 \n",
- " 0.611119 \n",
- " 0.424342 \n",
- " 1.299342 \n",
+ " 5.847715 \n",
+ " 0.371962 \n",
+ " 6.031966 \n",
+ " 0.518109 \n",
+ " 5.712709 \n",
+ " 0.393430 \n",
+ " 0.250597 \n",
+ " 0.961439 \n",
+ " 5.599852 \n",
+ " 0.651016 \n",
+ " 0.465176 \n",
+ " 1.299629 \n",
+ " 0.000000 \n",
+ " \n",
+ " \n",
+ " Cruz \n",
+ " A \n",
+ " Verona \n",
+ " Milan \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 15 \n",
+ " 5.751310 \n",
+ " 0.481451 \n",
+ " 5.863318 \n",
+ " 0.627091 \n",
+ " 5.655169 \n",
+ " 0.538907 \n",
+ " 0.130959 \n",
+ " 0.892866 \n",
+ " 5.455123 \n",
+ " 0.880195 \n",
+ " 0.334536 \n",
+ " 1.299594 \n",
" 0.000000 \n",
" \n",
" \n",
" Braaf \n",
" A \n",
" Verona \n",
- " Bologna \n",
- " 1 \n",
+ " Milan \n",
+ " 0 \n",
" 0.0 \n",
" 0 \n",
- " 5.610724 \n",
- " 0.386826 \n",
- " 5.801877 \n",
- " 0.469637 \n",
- " 5.429425 \n",
- " 0.389900 \n",
- " 0.336936 \n",
- " 0.966595 \n",
- " 5.391262 \n",
- " 0.572295 \n",
- " 0.498442 \n",
- " 1.299333 \n",
+ " 5.613092 \n",
+ " 0.346900 \n",
+ " 5.750920 \n",
+ " 0.428900 \n",
+ " 5.477731 \n",
+ " 0.361478 \n",
+ " 0.273028 \n",
+ " 0.988318 \n",
+ " 5.428794 \n",
+ " 0.569555 \n",
+ " 0.402369 \n",
+ " 1.299586 \n",
" 0.000000 \n",
" \n",
" \n",
"\n",
- "535 rows × 19 columns
\n",
+ "539 rows × 19 columns
\n",
""
],
"text/plain": [
- " role team oppteam home starter vote% MV \\\n",
- "player \n",
- "Rossi F. P Atalanta Fiorentina 0 0.0 1 6.109952 \n",
- "Musso P Atalanta Fiorentina 0 1.0 80 6.026820 \n",
- "Carnesecchi P Atalanta Fiorentina 0 0.0 5 5.988562 \n",
- "Zappacosta D Atalanta Fiorentina 0 1.0 90 6.083625 \n",
- "Zortea D Atalanta Fiorentina 0 0.0 0 6.150186 \n",
- "... ... ... ... ... ... ... ... \n",
- "Bonazzoli A Verona Bologna 1 0.4 60 6.194463 \n",
- "Henry A Verona Bologna 1 0.0 0 5.948657 \n",
- "Kallon A Verona Bologna 1 0.0 0 5.984714 \n",
- "Djuric A Verona Bologna 1 0.0 60 6.158875 \n",
- "Braaf A Verona Bologna 1 0.0 0 5.610724 \n",
+ " role team oppteam home starter vote% MV MV std \\\n",
+ "player \n",
+ "Musso P Atalanta Cagliari 1 1.0 70 6.187904 0.409565 \n",
+ "Carnesecchi P Atalanta Cagliari 1 0.0 5 6.153384 0.442585 \n",
+ "Rossi F. P Atalanta Cagliari 1 0.0 1 6.202195 0.436560 \n",
+ "Zappacosta D Atalanta Cagliari 1 0.6 60 6.174058 0.452587 \n",
+ "Zortea D Atalanta Cagliari 1 0.4 40 6.106819 0.397738 \n",
+ "... ... ... ... ... ... ... ... ... \n",
+ "Henry A Verona Milan 0 0.0 0 5.806732 0.484893 \n",
+ "Kallon A Verona Milan 0 0.0 0 5.847151 0.430028 \n",
+ "Djuric A Verona Milan 0 0.4 60 5.847715 0.371962 \n",
+ "Cruz A Verona Milan 0 0.0 15 5.751310 0.481451 \n",
+ "Braaf A Verona Milan 0 0.0 0 5.613092 0.346900 \n",
"\n",
- " MV std FV FV std MV loc MV scale MV skewness \\\n",
- "player \n",
- "Rossi F. 0.455623 5.139983 0.751770 6.129853 0.545903 -0.026930 \n",
- "Musso 0.479838 4.632784 0.883422 6.040918 0.574122 -0.018150 \n",
- "Carnesecchi 0.492755 4.077794 1.066340 6.002525 0.589996 -0.017496 \n",
- "Zappacosta 0.627924 6.479160 1.053932 5.897724 0.687691 0.197360 \n",
- "Zortea 0.516681 6.476537 0.757362 6.067196 0.583386 0.104385 \n",
- "... ... ... ... ... ... ... \n",
- "Bonazzoli 0.573160 6.719338 1.030227 5.917695 0.593300 0.338062 \n",
- "Henry 0.576159 6.411596 0.883478 5.582782 0.562697 0.465999 \n",
- "Kallon 0.458801 6.300039 0.708241 5.767212 0.467892 0.336912 \n",
- "Djuric 0.357994 6.288688 0.468988 6.140615 0.418206 0.032221 \n",
- "Braaf 0.386826 5.801877 0.469637 5.429425 0.389900 0.336936 \n",
+ " FV FV std MV loc MV scale MV skewness \\\n",
+ "player \n",
+ "Musso 5.778299 0.631974 6.172151 0.484012 0.024084 \n",
+ "Carnesecchi 5.099182 0.736154 6.095662 0.508426 0.083887 \n",
+ "Rossi F. 5.098540 0.738788 6.170873 0.510068 0.045397 \n",
+ "Zappacosta 6.519552 0.775398 6.110474 0.514245 0.090884 \n",
+ "Zortea 6.403875 0.627450 6.025298 0.444725 0.134716 \n",
+ "... ... ... ... ... ... \n",
+ "Henry 6.124626 0.710677 5.555864 0.490855 0.369405 \n",
+ "Kallon 6.110572 0.658053 5.650604 0.441275 0.323210 \n",
+ "Djuric 6.031966 0.518109 5.712709 0.393430 0.250597 \n",
+ "Cruz 5.863318 0.627091 5.655169 0.538907 0.130959 \n",
+ "Braaf 5.750920 0.428900 5.477731 0.361478 0.273028 \n",
"\n",
" MV tailweight FV loc FV scale FV skewness FV tailweight \\\n",
"player \n",
- "Rossi F. 1.024186 5.328891 1.142012 -0.122005 1.029078 \n",
- "Musso 1.038445 5.058631 1.267127 -0.248430 0.992984 \n",
- "Carnesecchi 1.046207 4.783760 1.400133 -0.389061 0.954299 \n",
- "Zappacosta 0.773252 5.540676 1.267551 0.512369 1.299510 \n",
- "Zortea 0.850812 5.875261 0.978617 0.433943 1.299440 \n",
+ "Musso 1.080489 6.551383 0.575009 -0.854511 1.143475 \n",
+ "Carnesecchi 1.071720 5.316064 1.103085 -0.144701 0.998809 \n",
+ "Rossi F. 1.057536 5.311903 1.107865 -0.141756 0.997465 \n",
+ "Zappacosta 0.896925 5.874933 0.976198 0.463032 1.299677 \n",
+ "Zortea 0.941082 5.877332 0.785433 0.469323 1.299658 \n",
"... ... ... ... ... ... \n",
- "Bonazzoli 0.807901 5.607124 1.010478 0.712825 1.299556 \n",
- "Henry 0.808078 5.444796 0.848190 0.732595 1.299526 \n",
- "Kallon 0.899963 5.570446 0.741041 0.651962 1.299474 \n",
- "Djuric 0.990635 5.922352 0.611119 0.424342 1.299342 \n",
- "Braaf 0.966595 5.391262 0.572295 0.498442 1.299333 \n",
+ "Henry 0.852631 5.422048 0.779401 0.606238 1.299682 \n",
+ "Kallon 0.904855 5.475328 0.739265 0.582358 1.299658 \n",
+ "Djuric 0.961439 5.599852 0.651016 0.465176 1.299629 \n",
+ "Cruz 0.892866 5.455123 0.880195 0.334536 1.299594 \n",
+ "Braaf 0.988318 5.428794 0.569555 0.402369 1.299586 \n",
"\n",
" Clean Sheet % \n",
"player \n",
- "Rossi F. 3.029286 \n",
- "Musso 1.178538 \n",
- "Carnesecchi 0.944095 \n",
+ "Musso 76.430595 \n",
+ "Carnesecchi 24.471429 \n",
+ "Rossi F. 19.948235 \n",
"Zappacosta 0.000000 \n",
"Zortea 0.000000 \n",
"... ... \n",
- "Bonazzoli 0.000000 \n",
"Henry 0.000000 \n",
"Kallon 0.000000 \n",
"Djuric 0.000000 \n",
+ "Cruz 0.000000 \n",
"Braaf 0.000000 \n",
"\n",
- "[535 rows x 19 columns]"
+ "[539 rows x 19 columns]"
]
},
- "execution_count": 80,
+ "execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "matchday_out = 4\n",
+ "matchday_out = 5\n",
"\n",
"output = pd.DataFrame(columns = ['player', 'role', 'team', 'oppteam', 'home', 'starter', 'vote%', 'MV', 'MV std', 'FV', 'FV std', 'MV loc', 'MV scale', 'MV skewness', 'MV tailweight', 'FV loc', 'FV scale', 'FV skewness', 'FV tailweight', 'Clean Sheet %'])\n",
"\n",
@@ -6937,7 +7099,7 @@
},
{
"cell_type": "code",
- "execution_count": 81,
+ "execution_count": 43,
"id": "6befd611",
"metadata": {},
"outputs": [],
@@ -6963,7 +7125,7 @@
},
{
"cell_type": "code",
- "execution_count": 77,
+ "execution_count": 44,
"id": "2b637a15",
"metadata": {},
"outputs": [],
@@ -6975,7 +7137,7 @@
},
{
"cell_type": "code",
- "execution_count": 78,
+ "execution_count": 45,
"id": "60d73507",
"metadata": {},
"outputs": [
@@ -6983,553 +7145,557 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Maignan (6.18, 0.45); (5.14, 0.76)\n",
- "Meret (6.15, 0.45); (5.49, 0.66)\n",
- "Sommer (6.10, 0.48); (5.73, 0.66)\n",
- "Szczesny (6.15, 0.46); (5.20, 0.73)\n",
- "Provedel (6.17, 0.45); (5.10, 0.77)\n",
- "Rui Patricio (5.71, 0.54); (3.59, 1.34)\n",
- "Di Gregorio (6.20, 0.45); (5.16, 0.75)\n",
- "Skorupski (5.99, 0.49); (3.75, 1.24)\n",
- "Milinkovic-Savic V. (6.12, 0.45); (5.23, 0.74)\n",
- "Terracciano (6.19, 0.45); (5.10, 0.77)\n",
- "Carnesecchi (6.17, 0.45); (5.27, 0.69)\n",
- "Falcone (6.18, 0.46); (5.20, 0.73)\n",
- "Silvestri (5.94, 0.48); (4.35, 1.03)\n",
- "Ochoa (6.21, 0.44); (3.99, 1.11)\n",
- "Radunovic (5.79, 0.50); (3.99, 1.14)\n",
- "Montipo' (6.15, 0.46); (5.08, 0.77)\n",
- "Martinez Jo. (6.13, 0.46); (5.18, 0.75)\n",
- "Caprile (5.68, 0.52); (3.44, 1.34)\n",
- "Consigli (5.94, 0.49); (3.97, 1.16)\n",
- "Musso (6.14, 0.46); (5.66, 0.66)\n",
- "Turati (5.83, 0.49); (4.18, 1.09)\n",
- "Perin (6.17, 0.45); (5.56, 0.66)\n",
- "Berisha (6.14, 0.46); (3.77, 1.22)\n",
- "Cragno (5.82, 0.52); (3.60, 1.32)\n",
- "Cerofolini (6.14, 0.46); (4.57, 0.93)\n",
- "Christensen O. (6.16, 0.45); (4.00, 1.12)\n",
- "Sportiello (6.18, 0.46); (5.18, 0.75)\n",
- "Mirante (6.18, 0.46); (5.18, 0.75)\n",
- "Sepe (6.14, 0.46); (4.48, 0.94)\n",
- "Leali (6.13, 0.46); (5.18, 0.75)\n",
- "Lamanna (6.11, 0.47); (4.59, 0.92)\n",
- "Sommariva (6.13, 0.46); (5.18, 0.75)\n",
- "Pegolo (5.82, 0.52); (3.60, 1.32)\n",
- "Perilli (6.14, 0.47); (5.31, 0.70)\n",
- "Padelli (5.57, 0.55); (3.46, 1.40)\n",
- "Scuffet (5.79, 0.50); (3.99, 1.14)\n",
- "Gollini (5.87, 0.50); (4.31, 1.07)\n",
- "Perisan (5.42, 0.55); (2.92, 1.45)\n",
- "Audero (6.10, 0.48); (5.72, 0.66)\n",
- "Di Gennaro (6.10, 0.48); (5.73, 0.66)\n",
- "Pinsoglio (6.10, 0.49); (5.19, 0.74)\n",
- "Aresti (5.79, 0.50); (3.99, 1.14)\n",
- "Fiorillo (6.21, 0.44); (4.04, 1.09)\n",
- "Rossi F. (6.14, 0.46); (5.71, 0.66)\n",
- "Costil (6.21, 0.44); (4.04, 1.09)\n",
- "Ravaglia F. (5.89, 0.53); (3.52, 1.39)\n",
- "Frattali (5.83, 0.49); (4.18, 1.09)\n",
- "Contini (5.87, 0.50); (4.31, 1.07)\n",
- "Brancolini (6.12, 0.47); (5.20, 0.73)\n",
- "Berardi A. (6.14, 0.47); (5.31, 0.70)\n",
- "Gemello (6.21, 0.43); (5.51, 0.67)\n",
- "Boer (5.59, 0.56); (3.40, 1.42)\n",
- "Bagnolini (5.89, 0.53); (3.52, 1.39)\n",
- "Svilar (5.59, 0.56); (3.40, 1.42)\n",
- "Sorrentino A. (6.11, 0.47); (4.59, 0.92)\n",
- "Martinelli T. (6.15, 0.45); (4.67, 0.89)\n",
- "Popa (6.21, 0.43); (5.51, 0.67)\n",
- "Stubljar (5.68, 0.52); (3.44, 1.34)\n",
- "Gori (6.11, 0.47); (4.59, 0.92)\n",
- "Borbei (6.12, 0.47); (5.20, 0.73)\n",
- "Okoye (5.57, 0.55); (3.46, 1.40)\n",
- "Mandas (6.14, 0.46); (4.48, 0.94)\n",
- "Dimarco (6.38, 0.43); (6.74, 0.79)\n",
- "Di Lorenzo (6.31, 0.55); (6.92, 1.07)\n",
- "Hernandez T. (6.24, 0.52); (6.66, 0.92)\n",
- "Carlos Augusto (6.27, 0.46); (6.68, 0.84)\n",
- "Danilo (6.34, 0.48); (6.69, 0.82)\n",
- "Zappacosta (6.16, 0.54); (6.54, 0.88)\n",
- "Schuurs (6.08, 0.43); (6.18, 0.58)\n",
- "Posch (6.02, 0.55); (6.39, 0.90)\n",
- "Bastoni (6.30, 0.41); (6.44, 0.55)\n",
- "Pavard (6.16, 0.37); (6.29, 0.51)\n",
- "Smalling (6.10, 0.49); (6.41, 0.76)\n",
- "Rrahmani (6.10, 0.53); (6.28, 0.69)\n",
- "Dumfries (6.23, 0.46); (6.60, 0.81)\n",
- "Romagnoli (6.10, 0.49); (6.19, 0.61)\n",
- "Bremer (6.14, 0.55); (6.36, 0.77)\n",
- "Tomori (6.12, 0.43); (6.21, 0.55)\n",
- "Spinazzola (6.14, 0.47); (6.46, 0.78)\n",
- "Darmian (6.23, 0.38); (6.43, 0.58)\n",
- "Biraghi (6.15, 0.57); (6.64, 1.01)\n",
- "Bakker (6.03, 0.33); (6.10, 0.43)\n",
- "Mazzocchi (6.04, 0.39); (6.18, 0.53)\n",
- "Baschirotto (6.11, 0.48); (6.25, 0.65)\n",
- "Doig (6.05, 0.56); (6.45, 0.89)\n",
- "Thiaw (6.11, 0.45); (6.14, 0.49)\n",
- "Mario Rui (6.07, 0.46); (6.21, 0.60)\n",
- "Calabria (6.11, 0.45); (6.27, 0.64)\n",
- "Acerbi (6.09, 0.37); (6.13, 0.41)\n",
- "Cuadrado (6.08, 0.41); (6.20, 0.54)\n",
- "Milenkovic (5.92, 0.54); (6.01, 0.69)\n",
- "Mancini (5.92, 0.41); (5.96, 0.49)\n",
- "Buongiorno (6.02, 0.45); (6.15, 0.63)\n",
- "Ebuehi (5.87, 0.39); (6.04, 0.54)\n",
- "Casale (6.04, 0.41); (6.08, 0.50)\n",
- "Scalvini (6.07, 0.52); (6.22, 0.68)\n",
- "Holm (6.06, 0.38); (6.17, 0.48)\n",
- "Faraoni (5.88, 0.43); (6.09, 0.62)\n",
- "Kolasinac (6.07, 0.36); (6.18, 0.46)\n",
- "Perez N. (5.87, 0.45); (5.86, 0.55)\n",
- "Bijol (5.81, 0.53); (5.87, 0.67)\n",
- "De Vrij (6.23, 0.38); (6.32, 0.47)\n",
- "Toloi (6.08, 0.48); (6.24, 0.64)\n",
- "Djimsiti (5.99, 0.38); (5.98, 0.38)\n",
- "Rodriguez R. (5.99, 0.39); (5.97, 0.44)\n",
- "Martin (6.00, 0.33); (6.13, 0.45)\n",
- "N'dicka (5.99, 0.34); (5.98, 0.38)\n",
- "Kyriakopoulos (5.96, 0.36); (5.98, 0.43)\n",
- "Mari' (5.85, 0.47); (5.80, 0.53)\n",
- "Bastoni S. (6.09, 0.45); (6.35, 0.71)\n",
- "Kristensen (5.99, 0.40); (6.20, 0.61)\n",
- "Natan (5.95, 0.47); (5.96, 0.55)\n",
- "Hysaj (6.00, 0.40); (6.07, 0.51)\n",
- "Izzo (5.95, 0.46); (5.93, 0.54)\n",
- "D'ambrosio (5.98, 0.31); (5.91, 0.30)\n",
- "Luperto (5.76, 0.53); (5.73, 0.63)\n",
- "Marusic (5.96, 0.42); (5.91, 0.46)\n",
- "Mina (6.04, 0.46); (6.34, 0.74)\n",
- "Bellanova (5.89, 0.28); (5.86, 0.28)\n",
- "Caldirola (5.93, 0.49); (5.98, 0.61)\n",
- "Kalulu (5.92, 0.49); (5.89, 0.52)\n",
- "Parisi (6.08, 0.49); (6.29, 0.74)\n",
- "Cambiaso (6.12, 0.42); (6.21, 0.51)\n",
- "Bradaric (5.95, 0.42); (5.95, 0.47)\n",
- "Kamara H. (5.98, 0.38); (6.00, 0.46)\n",
- "Olivera (6.01, 0.40); (6.12, 0.51)\n",
- "Dodo' (5.88, 0.50); (5.93, 0.63)\n",
- "Lucumi' (5.82, 0.42); (5.72, 0.46)\n",
- "Hien (5.82, 0.49); (5.73, 0.54)\n",
- "Kristiansen (6.08, 0.30); (6.12, 0.38)\n",
- "Pedersen (5.95, 0.32); (5.96, 0.36)\n",
- "Romagnoli S. (5.95, 0.51); (6.01, 0.63)\n",
- "Juan Jesus (6.08, 0.32); (6.10, 0.35)\n",
- "Gyomber (5.93, 0.45); (5.86, 0.47)\n",
- "Alex Sandro (5.86, 0.48); (5.74, 0.50)\n",
- "Hateboer (5.94, 0.45); (6.04, 0.61)\n",
- "Palomino (5.96, 0.37); (5.98, 0.42)\n",
- "Marchizza (5.93, 0.41); (5.92, 0.47)\n",
- "Lazzari (6.01, 0.36); (5.97, 0.38)\n",
- "Toljan (5.73, 0.43); (5.65, 0.45)\n",
- "Zappa (5.83, 0.38); (5.76, 0.36)\n",
- "Gallo (5.94, 0.43); (5.91, 0.47)\n",
- "Erlic (5.86, 0.42); (5.77, 0.43)\n",
- "Vojvoda (5.92, 0.37); (6.02, 0.50)\n",
- "Llorente D. (5.79, 0.49); (5.80, 0.58)\n",
- "Dragusin (5.93, 0.44); (6.16, 0.64)\n",
- "Vasquez (5.95, 0.44); (5.94, 0.49)\n",
- "Viti (6.13, 0.34); (6.30, 0.49)\n",
- "Gatti (6.06, 0.40); (6.06, 0.43)\n",
- "Birindelli (5.89, 0.37); (5.85, 0.40)\n",
- "Gendrey (5.94, 0.38); (5.92, 0.41)\n",
- "Beukema (5.96, 0.41); (5.97, 0.49)\n",
- "Zemura (5.95, 0.33); (5.95, 0.38)\n",
- "Dossena (5.85, 0.34); (5.84, 0.38)\n",
- "Azzi (5.90, 0.35); (6.01, 0.44)\n",
- "Wieteska (6.00, 0.40); (6.01, 0.46)\n",
- "Masina (5.87, 0.55); (6.30, 0.85)\n",
- "Pezzella Giu. (5.81, 0.33); (5.74, 0.36)\n",
- "Sabelli (5.97, 0.34); (6.05, 0.45)\n",
- "Lykogiannis (5.86, 0.33); (5.92, 0.40)\n",
- "Djidji (5.86, 0.42); (5.89, 0.52)\n",
- "Kabasele (5.81, 0.42); (5.79, 0.50)\n",
- "Ranieri L. (5.75, 0.45); (5.67, 0.51)\n",
- "Augello (5.88, 0.42); (6.00, 0.52)\n",
- "Zortea (6.13, 0.44); (6.38, 0.65)\n",
- "Dawidowicz (5.87, 0.51); (5.83, 0.62)\n",
- "Pirola (5.99, 0.49); (6.07, 0.63)\n",
- "Lovato (5.85, 0.38); (5.77, 0.38)\n",
- "Monterisi (6.22, 0.52); (6.63, 0.92)\n",
- "Ismajli (5.88, 0.41); (5.81, 0.44)\n",
- "Martinez Quarta (5.92, 0.45); (5.86, 0.48)\n",
- "Ruggeri (6.10, 0.49); (6.27, 0.66)\n",
- "Pongracic (5.94, 0.45); (5.91, 0.51)\n",
- "Obert (5.86, 0.43); (5.84, 0.46)\n",
- "Tressoldi (5.87, 0.46); (5.88, 0.55)\n",
- "Ebosele (5.73, 0.40); (5.69, 0.41)\n",
- "Hatzidiakos (5.94, 0.44); (5.95, 0.50)\n",
- "Patric (6.02, 0.34); (5.95, 0.33)\n",
- "Pellegrini Lu. (5.91, 0.34); (5.84, 0.36)\n",
- "Lazaro (6.01, 0.35); (6.05, 0.45)\n",
- "Calafiori (5.84, 0.49); (5.84, 0.60)\n",
- "Vina (5.75, 0.37); (5.68, 0.37)\n",
- "Terracciano F. (6.11, 0.36); (6.20, 0.46)\n",
- "Ehizibue (5.76, 0.47); (5.80, 0.59)\n",
- "Vogliacco (5.92, 0.46); (5.91, 0.53)\n",
- "Goldaniga (5.70, 0.44); (5.61, 0.43)\n",
- "Ferrari G. (5.77, 0.49); (5.80, 0.60)\n",
- "Lirola (5.97, 0.47); (6.00, 0.56)\n",
- "Bereszynski (5.67, 0.43); (5.63, 0.50)\n",
- "Venuti (5.88, 0.40); (5.85, 0.45)\n",
- "Karsdorp (5.86, 0.28); (5.82, 0.27)\n",
- "Bani (5.87, 0.50); (5.91, 0.64)\n",
- "Kjaer (6.02, 0.32); (5.97, 0.31)\n",
- "Gunter (5.68, 0.51); (5.57, 0.56)\n",
- "Magnani (5.81, 0.54); (5.74, 0.62)\n",
- "Soumaoro (5.85, 0.53); (5.74, 0.58)\n",
- "Carboni A. (5.96, 0.36); (5.95, 0.41)\n",
- "Di Pardo (5.88, 0.41); (5.85, 0.43)\n",
- "Zanoli (6.12, 0.50); (6.50, 0.81)\n",
- "Zima (5.94, 0.33); (5.93, 0.36)\n",
- "Hefti (5.72, 0.46); (5.64, 0.47)\n",
- "Ostigard (5.98, 0.33); (5.98, 0.35)\n",
- "Sambia (5.99, 0.38); (5.98, 0.40)\n",
- "Bisseck (6.01, 0.39); (6.08, 0.48)\n",
- "Dorgu (6.04, 0.37); (6.07, 0.42)\n",
- "Touba (5.98, 0.46); (6.02, 0.56)\n",
- "Sazonov (5.95, 0.46); (6.03, 0.60)\n",
- "Rugani (6.04, 0.30); (6.01, 0.29)\n",
- "De Sciglio (5.90, 0.33); (5.86, 0.32)\n",
- "Florenzi (6.06, 0.34); (6.11, 0.40)\n",
- "Fazio (5.88, 0.65); (5.92, 0.77)\n",
- "Bonifazi (5.74, 0.43); (5.62, 0.43)\n",
- "Walukiewicz (5.80, 0.32); (5.73, 0.31)\n",
- "Kumbulla (5.47, 0.73); (5.28, 0.72)\n",
- "Celik (5.70, 0.40); (5.58, 0.43)\n",
- "Amione (5.87, 0.49); (5.88, 0.62)\n",
- "Daniliuc (5.84, 0.50); (5.79, 0.56)\n",
- "Haps (5.86, 0.46); (5.92, 0.58)\n",
- "De Winter (5.77, 0.51); (5.59, 0.52)\n",
- "Cittadini (5.93, 0.46); (5.95, 0.57)\n",
- "Coppola D. (5.75, 0.42); (5.65, 0.46)\n",
- "Cacace (5.61, 0.39); (5.52, 0.37)\n",
- "Ebosse (5.75, 0.38); (5.67, 0.41)\n",
- "Cabal (5.94, 0.28); (5.89, 0.27)\n",
- "Missori (5.83, 0.41); (5.81, 0.48)\n",
- "Kayode (6.03, 0.43); (6.06, 0.49)\n",
- "Oyono (5.93, 0.39); (5.90, 0.41)\n",
- "Ferreira J. (5.78, 0.40); (5.76, 0.45)\n",
- "Corazza (5.77, 0.39); (5.73, 0.45)\n",
- "Kristensen T. (5.85, 0.46); (5.90, 0.58)\n"
+ "Sommer (6.16, 0.43); (5.75, 0.63)\n",
+ "Szczesny (6.16, 0.45); (5.10, 0.74)\n",
+ "Meret (6.06, 0.45); (5.09, 0.74)\n",
+ "Provedel (6.16, 0.45); (4.50, 0.98)\n",
+ "Maignan (6.16, 0.44); (4.61, 0.91)\n",
+ "Rui Patricio (5.81, 0.51); (3.74, 1.19)\n",
+ "Skorupski (5.90, 0.50); (3.96, 1.15)\n",
+ "Milinkovic-Savic V. (6.15, 0.44); (5.41, 0.66)\n",
+ "Di Gregorio (6.23, 0.43); (5.10, 0.78)\n",
+ "Falcone (6.21, 0.45); (5.11, 0.76)\n",
+ "Silvestri (5.99, 0.46); (4.59, 0.91)\n",
+ "Terracciano (6.14, 0.45); (4.81, 0.86)\n",
+ "Carnesecchi (5.87, 0.50); (3.43, 1.37)\n",
+ "Radunovic (6.21, 0.42); (5.13, 0.73)\n",
+ "Montipo' (6.19, 0.44); (5.13, 0.73)\n",
+ "Martinez Jo. (6.08, 0.46); (4.86, 0.86)\n",
+ "Ochoa (6.05, 0.47); (3.48, 1.32)\n",
+ "Caprile (5.81, 0.48); (3.58, 1.25)\n",
+ "Turati (6.10, 0.48); (5.07, 0.75)\n",
+ "Consigli (5.99, 0.48); (3.88, 1.20)\n",
+ "Musso (6.17, 0.43); (5.72, 0.63)\n",
+ "Cragno (6.00, 0.49); (3.42, 1.40)\n",
+ "Perin (6.16, 0.44); (5.19, 0.69)\n",
+ "Berisha (5.83, 0.52); (3.40, 1.36)\n",
+ "Christensen O. (6.05, 0.47); (3.70, 1.22)\n",
+ "Sportiello (6.16, 0.44); (4.61, 0.91)\n",
+ "Mirante (6.16, 0.44); (4.61, 0.91)\n",
+ "Sepe (6.14, 0.45); (4.03, 1.09)\n",
+ "Leali (6.08, 0.46); (4.86, 0.86)\n",
+ "Lamanna (6.16, 0.45); (4.95, 0.79)\n",
+ "Sommariva (6.08, 0.46); (4.86, 0.86)\n",
+ "Pegolo (5.94, 0.49); (3.70, 1.28)\n",
+ "Perilli (6.17, 0.43); (5.19, 0.69)\n",
+ "Padelli (5.96, 0.46); (4.71, 0.90)\n",
+ "Scuffet (6.21, 0.42); (5.13, 0.73)\n",
+ "Gollini (5.83, 0.51); (3.91, 1.18)\n",
+ "Perisan (5.61, 0.50); (3.25, 1.32)\n",
+ "Audero (6.16, 0.43); (5.74, 0.63)\n",
+ "Di Gennaro (6.16, 0.43); (5.75, 0.63)\n",
+ "Pinsoglio (6.12, 0.48); (5.10, 0.74)\n",
+ "Aresti (6.21, 0.42); (5.13, 0.73)\n",
+ "Fiorillo (6.05, 0.47); (3.48, 1.32)\n",
+ "Cerofolini (6.21, 0.46); (5.10, 0.75)\n",
+ "Rossi F. (5.96, 0.50); (3.41, 1.37)\n",
+ "Costil (6.05, 0.47); (3.48, 1.32)\n",
+ "Ravaglia F. (5.90, 0.49); (3.86, 1.18)\n",
+ "Frattali (6.10, 0.48); (5.07, 0.75)\n",
+ "Contini (5.83, 0.51); (3.91, 1.18)\n",
+ "Brancolini (6.17, 0.46); (5.10, 0.74)\n",
+ "Berardi A. (6.17, 0.43); (5.19, 0.69)\n",
+ "Gemello (6.16, 0.43); (5.64, 0.63)\n",
+ "Boer (5.74, 0.53); (3.41, 1.35)\n",
+ "Bagnolini (5.90, 0.49); (3.86, 1.18)\n",
+ "Svilar (5.74, 0.53); (3.41, 1.35)\n",
+ "Sorrentino A. (5.97, 0.47); (3.98, 1.09)\n",
+ "Martinelli T. (6.04, 0.47); (4.11, 1.09)\n",
+ "Popa (6.16, 0.43); (5.64, 0.63)\n",
+ "Stubljar (5.81, 0.48); (3.58, 1.25)\n",
+ "Gori (6.16, 0.45); (4.95, 0.79)\n",
+ "Borbei (6.17, 0.46); (5.10, 0.74)\n",
+ "Okoye (5.96, 0.46); (4.71, 0.90)\n",
+ "Mandas (6.14, 0.45); (4.03, 1.09)\n",
+ "Dimarco (6.34, 0.39); (6.61, 0.67)\n",
+ "Di Lorenzo (6.31, 0.57); (6.97, 1.14)\n",
+ "Hernandez T. (6.13, 0.62); (6.74, 1.18)\n",
+ "Carlos Augusto (6.28, 0.48); (6.76, 0.92)\n",
+ "Danilo (6.32, 0.43); (6.65, 0.77)\n",
+ "Zappacosta (6.10, 0.56); (6.57, 0.98)\n",
+ "Schuurs (6.09, 0.46); (6.24, 0.63)\n",
+ "Posch (5.97, 0.48); (6.21, 0.75)\n",
+ "Bastoni (6.29, 0.38); (6.42, 0.50)\n",
+ "Smalling (6.12, 0.45); (6.40, 0.71)\n",
+ "Dumfries (6.26, 0.47); (6.73, 0.90)\n",
+ "Romagnoli (6.02, 0.50); (6.09, 0.64)\n",
+ "Pavard (6.12, 0.33); (6.23, 0.43)\n",
+ "Rrahmani (6.07, 0.54); (6.27, 0.72)\n",
+ "Spinazzola (6.20, 0.42); (6.50, 0.73)\n",
+ "Buongiorno (6.07, 0.48); (6.34, 0.78)\n",
+ "Bremer (6.08, 0.51); (6.29, 0.73)\n",
+ "Tomori (6.04, 0.46); (6.12, 0.58)\n",
+ "Biraghi (6.08, 0.56); (6.61, 1.03)\n",
+ "Mancini (6.01, 0.50); (6.27, 0.73)\n",
+ "Darmian (6.16, 0.36); (6.34, 0.51)\n",
+ "Bakker (5.99, 0.32); (6.07, 0.42)\n",
+ "Mazzocchi (5.79, 0.39); (5.92, 0.52)\n",
+ "Doig (6.00, 0.52); (6.31, 0.80)\n",
+ "Calabria (6.01, 0.45); (6.21, 0.66)\n",
+ "Acerbi (6.08, 0.35); (6.12, 0.37)\n",
+ "Cuadrado (6.05, 0.40); (6.15, 0.50)\n",
+ "Ebuehi (5.67, 0.43); (5.72, 0.52)\n",
+ "Casale (5.87, 0.47); (5.89, 0.58)\n",
+ "Holm (6.05, 0.41); (6.28, 0.60)\n",
+ "Baschirotto (5.93, 0.54); (6.10, 0.72)\n",
+ "Bijol (5.81, 0.53); (5.91, 0.70)\n",
+ "Thiaw (5.66, 0.68); (5.55, 0.67)\n",
+ "Mario Rui (6.00, 0.45); (6.10, 0.56)\n",
+ "Milenkovic (5.78, 0.59); (5.86, 0.76)\n",
+ "Rodriguez R. (5.98, 0.38); (5.98, 0.41)\n",
+ "Kolasinac (5.98, 0.38); (6.13, 0.51)\n",
+ "N'dicka (6.01, 0.28); (6.01, 0.29)\n",
+ "Scalvini (5.95, 0.56); (6.13, 0.74)\n",
+ "Perez N. (5.82, 0.45); (5.82, 0.55)\n",
+ "Kristensen (6.01, 0.36); (6.19, 0.54)\n",
+ "Izzo (5.93, 0.46); (5.98, 0.58)\n",
+ "De Vrij (6.24, 0.37); (6.35, 0.47)\n",
+ "Faraoni (5.85, 0.38); (5.96, 0.52)\n",
+ "Toloi (6.01, 0.46); (6.14, 0.61)\n",
+ "Kyriakopoulos (5.86, 0.31); (5.84, 0.35)\n",
+ "Bellanova (5.97, 0.41); (6.06, 0.51)\n",
+ "Mari' (5.77, 0.45); (5.74, 0.53)\n",
+ "Dodo' (5.80, 0.56); (5.91, 0.73)\n",
+ "Lucumi' (5.83, 0.42); (5.76, 0.47)\n",
+ "Hien (5.85, 0.48); (5.81, 0.54)\n",
+ "Natan (5.92, 0.49); (5.97, 0.57)\n",
+ "Hysaj (5.93, 0.39); (6.00, 0.51)\n",
+ "D'ambrosio (5.99, 0.32); (5.95, 0.35)\n",
+ "Luperto (5.54, 0.58); (5.47, 0.67)\n",
+ "Djimsiti (5.99, 0.40); (6.01, 0.43)\n",
+ "Marusic (5.84, 0.47); (5.79, 0.53)\n",
+ "Martin (5.91, 0.35); (6.02, 0.45)\n",
+ "Mina (5.97, 0.42); (6.24, 0.66)\n",
+ "Toljan (5.69, 0.45); (5.62, 0.49)\n",
+ "Llorente D. (5.81, 0.48); (5.83, 0.55)\n",
+ "Martinez Quarta (5.94, 0.58); (6.07, 0.75)\n",
+ "Bastoni S. (5.69, 0.43); (5.75, 0.56)\n",
+ "Dragusin (5.92, 0.45); (6.10, 0.62)\n",
+ "Parisi (6.04, 0.49); (6.24, 0.73)\n",
+ "Bradaric (5.76, 0.47); (5.81, 0.59)\n",
+ "Kamara H. (5.97, 0.33); (5.98, 0.39)\n",
+ "Olivera (5.98, 0.37); (6.11, 0.46)\n",
+ "Gendrey (5.92, 0.36); (5.92, 0.40)\n",
+ "Kristiansen (6.03, 0.37); (6.11, 0.52)\n",
+ "Beukema (5.94, 0.43); (5.94, 0.50)\n",
+ "Dossena (5.88, 0.38); (5.89, 0.45)\n",
+ "Pedersen (5.84, 0.33); (5.83, 0.35)\n",
+ "Juan Jesus (6.01, 0.34); (6.02, 0.34)\n",
+ "Gyomber (5.79, 0.49); (5.73, 0.54)\n",
+ "Alex Sandro (5.79, 0.51); (5.66, 0.52)\n",
+ "Hateboer (5.85, 0.50); (6.08, 0.74)\n",
+ "Palomino (5.92, 0.35); (5.94, 0.40)\n",
+ "Marchizza (5.95, 0.41); (5.98, 0.49)\n",
+ "Zappa (5.79, 0.38); (5.73, 0.37)\n",
+ "Gallo (5.90, 0.43); (5.90, 0.49)\n",
+ "Caldirola (5.69, 0.55); (5.74, 0.69)\n",
+ "Kalulu (5.82, 0.52); (5.80, 0.58)\n",
+ "Erlic (5.72, 0.52); (5.60, 0.54)\n",
+ "Vojvoda (5.91, 0.34); (5.96, 0.42)\n",
+ "Vasquez (5.96, 0.40); (5.97, 0.44)\n",
+ "Cambiaso (6.07, 0.40); (6.16, 0.48)\n",
+ "Pongracic (5.94, 0.43); (5.96, 0.50)\n",
+ "Viti (6.06, 0.31); (6.22, 0.44)\n",
+ "Gatti (6.13, 0.39); (6.19, 0.45)\n",
+ "Birindelli (5.88, 0.38); (5.86, 0.42)\n",
+ "Azzi (5.90, 0.33); (5.94, 0.40)\n",
+ "Wieteska (5.96, 0.42); (5.97, 0.51)\n",
+ "Masina (5.76, 0.49); (6.03, 0.71)\n",
+ "Romagnoli S. (5.88, 0.47); (5.94, 0.61)\n",
+ "Pezzella Giu. (5.53, 0.45); (5.43, 0.47)\n",
+ "Sabelli (5.96, 0.32); (6.03, 0.42)\n",
+ "Lirola (6.07, 0.46); (6.28, 0.68)\n",
+ "Lazzari (5.98, 0.39); (5.99, 0.43)\n",
+ "Bani (5.90, 0.54); (6.09, 0.76)\n",
+ "Djidji (5.84, 0.39); (5.86, 0.46)\n",
+ "Kabasele (5.79, 0.37); (5.74, 0.43)\n",
+ "Lazaro (6.02, 0.35); (6.07, 0.44)\n",
+ "Augello (5.85, 0.40); (5.92, 0.51)\n",
+ "Zortea (6.05, 0.46); (6.35, 0.70)\n",
+ "Dawidowicz (5.83, 0.47); (5.81, 0.55)\n",
+ "Pirola (5.72, 0.51); (5.78, 0.64)\n",
+ "Lovato (5.65, 0.44); (5.55, 0.46)\n",
+ "Ruggeri (6.09, 0.55); (6.46, 0.88)\n",
+ "Vina (5.78, 0.50); (5.75, 0.55)\n",
+ "Obert (5.76, 0.43); (5.71, 0.46)\n",
+ "Terracciano F. (6.08, 0.36); (6.17, 0.46)\n",
+ "Ebosele (5.77, 0.37); (5.74, 0.42)\n",
+ "Zemura (5.93, 0.31); (5.92, 0.36)\n",
+ "Hatzidiakos (5.95, 0.41); (5.97, 0.48)\n",
+ "Patric (5.97, 0.39); (5.93, 0.40)\n",
+ "Lykogiannis (5.84, 0.32); (5.88, 0.38)\n",
+ "Pellegrini Lu. (5.72, 0.37); (5.64, 0.39)\n",
+ "Magnani (5.78, 0.52); (5.75, 0.60)\n",
+ "Ranieri L. (5.67, 0.46); (5.64, 0.53)\n",
+ "Carboni A. (5.94, 0.37); (5.96, 0.45)\n",
+ "Calafiori (5.95, 0.40); (6.01, 0.53)\n",
+ "Monterisi (5.99, 0.62); (6.38, 1.03)\n",
+ "Ismajli (5.63, 0.46); (5.52, 0.48)\n",
+ "De Winter (5.83, 0.44); (5.74, 0.43)\n",
+ "Tressoldi (5.80, 0.47); (5.81, 0.56)\n",
+ "Ehizibue (5.74, 0.43); (5.76, 0.56)\n",
+ "Vogliacco (5.89, 0.45); (5.87, 0.50)\n",
+ "Ferrari G. (5.69, 0.52); (5.73, 0.63)\n",
+ "Venuti (5.79, 0.40); (5.75, 0.43)\n",
+ "Karsdorp (5.89, 0.25); (5.87, 0.24)\n",
+ "Kjaer (5.52, 0.38); (5.49, 0.35)\n",
+ "Gunter (5.67, 0.53); (5.59, 0.59)\n",
+ "Soumaoro (5.82, 0.54); (5.77, 0.61)\n",
+ "Di Pardo (5.81, 0.41); (5.76, 0.43)\n",
+ "Zanoli (6.10, 0.50); (6.48, 0.83)\n",
+ "Zima (5.92, 0.30); (5.89, 0.30)\n",
+ "Hefti (5.75, 0.42); (5.68, 0.42)\n",
+ "Ostigard (5.64, 0.38); (5.60, 0.36)\n",
+ "Sambia (5.92, 0.36); (5.95, 0.40)\n",
+ "Bisseck (5.97, 0.38); (6.01, 0.43)\n",
+ "Oyono (5.96, 0.39); (5.96, 0.43)\n",
+ "Ferreira J. (5.77, 0.37); (5.72, 0.41)\n",
+ "Dorgu (6.02, 0.33); (6.05, 0.37)\n",
+ "Touba (5.96, 0.40); (6.01, 0.49)\n",
+ "Sazonov (5.94, 0.43); (5.99, 0.54)\n",
+ "Rugani (6.07, 0.29); (6.08, 0.30)\n",
+ "De Sciglio (5.91, 0.33); (5.89, 0.32)\n",
+ "Goldaniga (5.66, 0.44); (5.57, 0.45)\n",
+ "Florenzi (5.97, 0.33); (6.04, 0.38)\n",
+ "De Silvestri (5.92, 0.32); (5.95, 0.40)\n",
+ "Pereira P. (5.85, 0.40); (5.83, 0.45)\n",
+ "Fazio (5.74, 0.62); (5.84, 0.79)\n",
+ "Bereszynski (5.54, 0.47); (5.46, 0.51)\n",
+ "Bonifazi (5.71, 0.44); (5.61, 0.45)\n",
+ "Walukiewicz (5.46, 0.41); (5.36, 0.37)\n",
+ "Okoli (5.88, 0.40); (5.84, 0.41)\n",
+ "Kumbulla (5.49, 0.75); (5.25, 0.70)\n",
+ "Celik (5.66, 0.38); (5.57, 0.37)\n",
+ "Amione (5.70, 0.45); (5.68, 0.55)\n",
+ "Daniliuc (5.68, 0.52); (5.68, 0.63)\n",
+ "Soppy (5.87, 0.36); (5.92, 0.45)\n",
+ "Haps (5.86, 0.45); (5.93, 0.57)\n",
+ "Cittadini (5.87, 0.45); (5.93, 0.59)\n",
+ "Coppola D. (5.75, 0.39); (5.67, 0.42)\n",
+ "Cacace (5.54, 0.40); (5.43, 0.39)\n",
+ "Ebosse (5.74, 0.34); (5.65, 0.34)\n",
+ "Guessand A. (5.77, 0.41); (5.77, 0.50)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Dermaku (5.97, 0.45); (5.99, 0.53)\n",
- "Tonelli (5.65, 0.48); (5.54, 0.52)\n",
- "Capradossi (5.94, 0.44); (5.95, 0.50)\n",
- "De Silvestri (5.83, 0.40); (5.90, 0.51)\n",
- "Pereira P. (5.87, 0.37); (5.84, 0.42)\n",
- "Bettella (5.93, 0.46); (5.95, 0.57)\n",
- "Okoli (5.83, 0.43); (5.74, 0.43)\n",
- "Amey (5.86, 0.47); (5.90, 0.60)\n",
- "Soppy (5.84, 0.42); (5.88, 0.54)\n",
- "Gila (5.93, 0.40); (5.88, 0.42)\n",
- "Guessand A. (5.91, 0.45); (5.96, 0.57)\n",
- "Bronn (5.79, 0.41); (5.69, 0.40)\n",
- "Guarino (5.83, 0.48); (5.89, 0.62)\n",
- "Carboni F. (5.84, 0.38); (5.80, 0.42)\n",
- "Smajlovic (5.98, 0.46); (6.02, 0.56)\n",
- "Matturro (5.92, 0.46); (5.91, 0.53)\n",
- "N'guessan (5.95, 0.46); (6.03, 0.60)\n",
- "Mateus Lusuardi (5.97, 0.47); (6.00, 0.56)\n",
- "Kalaj (5.97, 0.47); (6.00, 0.56)\n",
- "Pierozzi (5.96, 0.46); (5.98, 0.54)\n",
- "Huijsen (6.04, 0.44); (6.15, 0.56)\n",
- "Bonfanti (6.01, 0.44); (6.09, 0.54)\n",
- "Pellegrino (5.99, 0.45); (6.05, 0.54)\n",
- "Zaccagni (6.38, 0.55); (6.99, 1.15)\n",
- "Koopmeiners (6.41, 0.59); (7.18, 1.31)\n",
- "Felipe Anderson (6.23, 0.60); (6.87, 1.21)\n",
- "Luis Alberto (6.40, 0.55); (7.04, 1.18)\n",
- "Rabiot (6.35, 0.58); (7.09, 1.29)\n",
- "Zielinski (6.31, 0.47); (6.71, 0.86)\n",
- "Barella (6.38, 0.47); (6.86, 0.95)\n",
- "Pulisic (6.31, 0.46); (6.63, 0.76)\n",
- "Orsolini (6.20, 0.64); (6.89, 1.31)\n",
- "Chukwueze (6.11, 0.39); (6.30, 0.55)\n",
- "Strefezza (6.23, 0.51); (6.68, 0.94)\n",
- "Ferguson (6.28, 0.55); (6.84, 1.08)\n",
- "Candreva (6.30, 0.63); (7.01, 1.27)\n",
- "Calhanoglu (6.44, 0.43); (6.76, 0.78)\n",
- "Frattesi (6.32, 0.49); (6.83, 0.97)\n",
- "Samardzic (6.09, 0.49); (6.45, 0.82)\n",
- "Vlasic (6.18, 0.51); (6.59, 0.90)\n",
- "El Shaarawy (6.30, 0.50); (6.75, 0.96)\n",
- "Aouar (6.13, 0.53); (6.65, 0.99)\n",
- "Bonaventura (6.27, 0.60); (6.92, 1.21)\n",
- "Pellegrini Lo. (6.05, 0.56); (6.55, 0.99)\n",
- "Politano (6.29, 0.46); (6.64, 0.80)\n",
- "Malinovskyi (6.06, 0.57); (6.62, 1.09)\n",
- "Lovric (6.13, 0.47); (6.44, 0.76)\n",
- "Kamada (6.12, 0.49); (6.48, 0.82)\n",
- "Lindstrom (6.08, 0.46); (6.43, 0.78)\n",
- "Lazovic (6.28, 0.54); (6.74, 0.97)\n",
- "Loftus-Cheek (6.13, 0.36); (6.16, 0.38)\n",
- "Zambo Anguissa (6.15, 0.48); (6.51, 0.78)\n",
- "Elmas (6.19, 0.50); (6.59, 0.88)\n",
- "Kostic (6.25, 0.48); (6.64, 0.84)\n",
- "Gudmundsson A. (6.09, 0.44); (6.39, 0.74)\n",
- "Baldanzi (6.04, 0.45); (6.32, 0.71)\n",
- "Ciurria (6.15, 0.55); (6.64, 1.00)\n",
- "Pasalic (6.07, 0.46); (6.38, 0.71)\n",
- "Mkhitaryan (6.27, 0.43); (6.58, 0.71)\n",
- "Pessina (6.05, 0.47); (6.30, 0.71)\n",
- "Guendouzi (6.09, 0.35); (6.19, 0.45)\n",
- "Lobotka (6.12, 0.37); (6.17, 0.42)\n",
- "Bajrami (5.99, 0.38); (6.12, 0.47)\n",
- "Ricci S. (6.03, 0.38); (6.18, 0.53)\n",
- "Reijnders (6.22, 0.39); (6.43, 0.57)\n",
- "Pogba (6.04, 0.36); (6.06, 0.42)\n",
- "Renato Sanches (5.97, 0.32); (6.06, 0.37)\n",
- "Fagioli (6.13, 0.50); (6.49, 0.82)\n",
- "Ikone' (6.10, 0.59); (6.64, 1.05)\n",
- "Ilic (6.04, 0.42); (6.26, 0.63)\n",
- "Radonjic (6.29, 0.53); (6.79, 1.02)\n",
- "Ndoye (5.98, 0.39); (6.02, 0.50)\n",
- "Ederson D.s. (6.15, 0.41); (6.32, 0.57)\n",
- "Colpani (6.32, 0.54); (6.93, 1.12)\n",
- "De Roon (6.11, 0.44); (6.29, 0.63)\n",
- "Locatelli (6.08, 0.38); (6.11, 0.44)\n",
- "Barak (5.87, 0.47); (6.13, 0.66)\n",
- "Saponara (6.14, 0.49); (6.47, 0.80)\n",
- "Cristante (5.96, 0.37); (5.94, 0.42)\n",
- "Mandragora (6.02, 0.57); (6.48, 0.96)\n",
- "Weah (6.04, 0.29); (6.05, 0.30)\n",
- "Bennacer (6.24, 0.46); (6.52, 0.72)\n",
- "Klaassen (6.19, 0.40); (6.48, 0.67)\n",
- "Castrovilli (6.11, 0.61); (6.69, 1.10)\n",
- "Miranchuk (6.31, 0.50); (6.77, 0.93)\n",
- "Musah (6.01, 0.41); (6.05, 0.49)\n",
- "Matheus Henrique (5.90, 0.46); (6.20, 0.71)\n",
- "De Ketelaere (6.03, 0.43); (6.23, 0.57)\n",
- "Mboula (5.84, 0.34); (5.82, 0.39)\n",
- "Cataldi (6.03, 0.34); (5.99, 0.35)\n",
- "Jankto (5.99, 0.32); (5.98, 0.33)\n",
- "Sottil (5.98, 0.38); (6.12, 0.47)\n",
- "Arthur Melo (6.05, 0.46); (6.12, 0.55)\n",
- "Duda (6.20, 0.54); (6.62, 0.93)\n",
- "Thorsby (5.79, 0.50); (5.95, 0.68)\n",
- "Nandez (6.03, 0.33); (6.13, 0.45)\n",
- "Tameze (5.91, 0.39); (5.90, 0.47)\n",
- "Marin (5.94, 0.43); (6.07, 0.60)\n",
- "Messias (5.98, 0.56); (6.46, 0.97)\n",
- "Mckennie (6.20, 0.39); (6.42, 0.57)\n",
- "Reinier (5.98, 0.46); (6.03, 0.56)\n",
- "Zalewski (5.89, 0.37); (6.04, 0.48)\n",
- "Coulibaly L. (6.06, 0.51); (6.32, 0.77)\n",
- "Harroui (6.20, 0.45); (6.52, 0.73)\n",
- "Krunic (6.07, 0.37); (6.08, 0.42)\n",
- "Paredes (5.77, 0.49); (5.72, 0.57)\n",
- "Freuler (5.98, 0.31); (5.98, 0.36)\n",
- "Gagliardini (5.82, 0.39); (5.73, 0.39)\n",
- "Kastanos (6.02, 0.38); (6.12, 0.49)\n",
- "Lopez M. (5.87, 0.37); (5.77, 0.38)\n",
- "Gyasi (5.72, 0.41); (5.79, 0.51)\n",
- "Frendrup (6.00, 0.36); (6.13, 0.50)\n",
- "Moro N. (6.04, 0.39); (6.24, 0.58)\n",
- "Ramadani (6.11, 0.46); (6.23, 0.59)\n",
- "Mancosu (5.95, 0.44); (5.95, 0.49)\n",
- "Vecino (6.00, 0.43); (6.04, 0.53)\n",
- "Strootman (5.93, 0.35); (6.04, 0.47)\n",
- "Duncan (6.07, 0.44); (6.34, 0.69)\n",
- "Machin (5.94, 0.46); (5.98, 0.57)\n",
- "Sensi (6.11, 0.42); (6.30, 0.61)\n",
- "Linetty (5.92, 0.38); (5.96, 0.49)\n",
- "Walace (5.90, 0.37); (5.86, 0.41)\n",
- "Brescianini (6.00, 0.36); (6.00, 0.40)\n",
- "Pobega (6.01, 0.37); (6.12, 0.49)\n",
- "Bove (5.93, 0.38); (6.13, 0.55)\n",
- "Aebischer (5.87, 0.32); (5.99, 0.43)\n",
- "Thorstvedt (5.95, 0.35); (6.05, 0.44)\n",
- "Blin (5.98, 0.33); (5.97, 0.35)\n",
- "Gonzalez J. (5.94, 0.40); (5.99, 0.52)\n",
- "Oudin (6.07, 0.47); (6.33, 0.69)\n",
- "Fabbian (6.13, 0.39); (6.43, 0.74)\n",
- "Rafia (6.09, 0.40); (6.27, 0.58)\n",
- "Cajuste (5.96, 0.46); (5.99, 0.55)\n",
- "Kaba (6.00, 0.32); (5.99, 0.34)\n",
- "Grassi (5.94, 0.32); (5.89, 0.34)\n",
- "Badelj (5.90, 0.40); (5.86, 0.42)\n",
- "Mazzitelli (5.94, 0.46); (5.95, 0.53)\n",
- "Castillejo (5.92, 0.38); (6.10, 0.54)\n",
- "Hongla (5.82, 0.41); (5.88, 0.50)\n",
- "Miretti (6.00, 0.36); (6.04, 0.41)\n",
- "Fazzini (5.85, 0.30); (5.81, 0.32)\n",
- "Iling Junior (6.04, 0.44); (6.14, 0.56)\n",
- "Oristanio (5.93, 0.36); (5.89, 0.35)\n",
- "Boloca (5.81, 0.43); (5.78, 0.50)\n",
- "Makoumbou (5.93, 0.33); (5.98, 0.38)\n",
- "Martegani (6.04, 0.45); (6.09, 0.54)\n",
- "Serdar (5.91, 0.42); (5.92, 0.51)\n",
- "Payero (5.86, 0.46); (5.91, 0.59)\n",
- "Baez (6.07, 0.36); (6.24, 0.51)\n",
- "Deiola (5.90, 0.42); (6.01, 0.55)\n",
- "Bourabia (6.00, 0.40); (6.06, 0.49)\n",
- "Rovella (6.11, 0.46); (6.21, 0.59)\n",
- "Saelemaekers (5.98, 0.44); (6.28, 0.70)\n",
- "Maldini (6.00, 0.45); (6.31, 0.72)\n",
- "Racic (5.97, 0.34); (5.95, 0.38)\n",
- "Kovalenko (5.90, 0.33); (5.93, 0.38)\n",
- "Maleh (5.74, 0.31); (5.70, 0.37)\n",
- "Bohinen (5.95, 0.29); (5.90, 0.26)\n",
- "Ranocchia F. (6.11, 0.41); (6.30, 0.60)\n",
- "Infantino (5.88, 0.32); (5.83, 0.32)\n",
- "Kutlu (5.92, 0.40); (5.89, 0.43)\n",
- "Tchatchoua (5.94, 0.48); (5.99, 0.61)\n",
- "Garritano (6.09, 0.37); (6.13, 0.43)\n",
- "Quina (5.84, 0.37); (5.82, 0.42)\n",
- "Adopo (5.97, 0.30); (5.94, 0.29)\n",
- "Maggiore (5.95, 0.28); (5.91, 0.27)\n",
- "Romero L. (6.24, 0.50); (6.67, 0.90)\n",
- "Basic (6.00, 0.36); (6.03, 0.42)\n",
- "Asllani (6.07, 0.30); (6.06, 0.31)\n",
- "Tchaouna (6.07, 0.41); (6.11, 0.50)\n",
- "Sulemana I. (5.88, 0.31); (5.84, 0.30)\n",
- "Barrenechea (6.07, 0.38); (6.10, 0.43)\n",
- "Gelli (5.99, 0.48); (6.03, 0.56)\n",
- "Folorunsho (5.94, 0.49); (6.27, 0.77)\n",
- "Suslov (5.94, 0.48); (5.99, 0.61)\n",
- "Gaetano (6.17, 0.55); (6.78, 1.09)\n",
- "Jagiello (5.94, 0.44); (5.92, 0.50)\n",
- "Obiang (5.93, 0.30); (5.88, 0.30)\n",
- "Akpa Akpro (5.94, 0.46); (5.98, 0.57)\n",
- "Urbanski (5.97, 0.35); (5.99, 0.43)\n",
- "Volpato (6.14, 0.40); (6.32, 0.58)\n",
- "Vignato S. (5.88, 0.37); (5.85, 0.41)\n",
- "Hrustic (5.63, 0.33); (5.64, 0.36)\n",
- "Zarraga (5.65, 0.41); (5.60, 0.43)\n",
- "Camara E. (5.86, 0.46); (5.91, 0.59)\n",
- "Amatucci (5.95, 0.39); (5.93, 0.44)\n",
- "Viola (5.88, 0.31); (5.84, 0.28)\n",
- "Lulic K. (5.98, 0.46); (6.03, 0.56)\n",
- "Rog (5.90, 0.35); (5.87, 0.34)\n",
- "Nicolussi Caviglia (5.89, 0.47); (5.91, 0.57)\n",
- "Demme (5.97, 0.26); (5.90, 0.23)\n",
- "Pafundi (6.05, 0.30); (6.05, 0.31)\n",
- "Adli (5.94, 0.39); (5.96, 0.45)\n",
- "Bondo (5.96, 0.41); (5.98, 0.49)\n",
- "Zerbin (6.01, 0.41); (6.07, 0.49)\n",
- "Carboni V. (6.04, 0.35); (6.05, 0.41)\n",
- "Faticanti (5.99, 0.45); (6.03, 0.55)\n",
- "Gineitis (5.98, 0.44); (6.07, 0.59)\n",
- "Belardinelli (5.88, 0.45); (5.96, 0.60)\n",
- "El Azzouzi (5.99, 0.30); (6.00, 0.36)\n",
- "Lipani (5.91, 0.43); (5.92, 0.53)\n",
- "Joselito (5.94, 0.48); (5.99, 0.61)\n",
- "Pagano (6.05, 0.34); (6.10, 0.42)\n",
- "Legowski (6.03, 0.45); (6.09, 0.57)\n",
- "Prati (5.95, 0.44); (5.95, 0.49)\n",
- "Osimhen (6.52, 0.78); (8.01, 2.11)\n",
- "Martinez L. (6.53, 0.69); (7.81, 1.85)\n",
- "Rafael Leao (6.47, 0.69); (7.66, 1.77)\n",
- "Immobile (6.33, 0.70); (7.33, 1.64)\n",
- "Berardi (6.48, 0.71); (7.78, 1.87)\n",
- "Lukaku (6.31, 0.74); (7.32, 1.60)\n",
- "Kvaratskhelia (6.44, 0.70); (7.65, 1.79)\n",
- "Dybala (6.42, 0.70); (7.63, 1.80)\n",
- "Vlahovic (6.32, 0.75); (7.31, 1.67)\n",
- "Giroud (6.43, 0.66); (7.51, 1.66)\n",
- "Scamacca (6.39, 0.72); (7.52, 1.75)\n",
- "Dia (6.38, 0.74); (7.54, 1.79)\n",
- "Thuram (6.44, 0.55); (7.17, 1.27)\n",
- "Lookman (6.39, 0.70); (7.47, 1.70)\n",
- "Sanabria (6.24, 0.65); (7.08, 1.40)\n",
- "Arnautovic (6.42, 0.58); (7.27, 1.40)\n",
- "Retegui (6.01, 0.64); (6.58, 1.08)\n",
- "Nzola (6.18, 0.71); (7.02, 1.40)\n",
- "Lauriente' (6.35, 0.62); (7.14, 1.37)\n",
- "Zapata D. (5.98, 0.48); (6.33, 0.76)\n",
- "Chiesa (6.37, 0.57); (7.08, 1.24)\n",
- "Milik (6.24, 0.53); (6.74, 1.00)\n",
- "Gonzalez N. (6.28, 0.72); (7.25, 1.56)\n",
- "Okafor (6.00, 0.35); (6.02, 0.39)\n"
+ "Cabal (5.87, 0.25); (5.83, 0.24)\n",
+ "Missori (5.76, 0.43); (5.73, 0.48)\n",
+ "Kayode (5.99, 0.44); (6.02, 0.52)\n",
+ "Corazza (5.71, 0.39); (5.67, 0.44)\n",
+ "Kristensen T. (5.81, 0.45); (5.85, 0.58)\n",
+ "Dermaku (5.91, 0.43); (5.96, 0.54)\n",
+ "Tonelli (5.56, 0.49); (5.44, 0.53)\n",
+ "Capradossi (5.90, 0.44); (5.91, 0.53)\n",
+ "Bettella (5.87, 0.45); (5.93, 0.59)\n",
+ "Amey (5.82, 0.46); (5.87, 0.59)\n",
+ "Gila (5.86, 0.44); (5.84, 0.49)\n",
+ "Bronn (5.62, 0.45); (5.50, 0.46)\n",
+ "Guarino (5.67, 0.50); (5.67, 0.59)\n",
+ "Carboni F. (5.96, 0.37); (5.99, 0.45)\n",
+ "Smajlovic (5.91, 0.45); (5.98, 0.57)\n",
+ "Matturro (5.89, 0.45); (5.87, 0.50)\n",
+ "N'guessan (5.94, 0.43); (5.99, 0.54)\n",
+ "Mateus Lusuardi (5.92, 0.46); (5.97, 0.56)\n",
+ "Kalaj (5.92, 0.46); (5.97, 0.56)\n",
+ "Pierozzi (5.88, 0.48); (5.92, 0.58)\n",
+ "Huijsen (5.99, 0.42); (6.10, 0.54)\n",
+ "Bonfanti (5.97, 0.46); (6.07, 0.59)\n",
+ "Pellegrino (5.93, 0.46); (6.01, 0.59)\n",
+ "Comuzzo (5.88, 0.48); (5.92, 0.58)\n",
+ "Zaccagni (6.32, 0.53); (6.95, 1.16)\n",
+ "Koopmeiners (6.38, 0.57); (7.20, 1.36)\n",
+ "Luis Alberto (6.38, 0.53); (7.09, 1.23)\n",
+ "Felipe Anderson (6.14, 0.58); (6.77, 1.17)\n",
+ "Rabiot (6.31, 0.55); (7.06, 1.28)\n",
+ "Zielinski (6.30, 0.46); (6.71, 0.86)\n",
+ "Barella (6.35, 0.45); (6.79, 0.89)\n",
+ "Pulisic (6.21, 0.54); (6.81, 1.09)\n",
+ "Orsolini (6.18, 0.59); (6.84, 1.25)\n",
+ "Calhanoglu (6.42, 0.39); (6.67, 0.69)\n",
+ "Strefezza (6.19, 0.50); (6.64, 0.92)\n",
+ "Chukwueze (5.95, 0.43); (6.24, 0.66)\n",
+ "Ferguson (6.22, 0.52); (6.74, 1.01)\n",
+ "Candreva (6.17, 0.65); (6.86, 1.30)\n",
+ "Frattesi (6.35, 0.53); (7.04, 1.20)\n",
+ "Samardzic (6.06, 0.51); (6.47, 0.87)\n",
+ "Vlasic (6.13, 0.51); (6.59, 0.93)\n",
+ "Bonaventura (6.28, 0.57); (6.97, 1.23)\n",
+ "Politano (6.35, 0.45); (6.77, 0.90)\n",
+ "El Shaarawy (6.28, 0.46); (6.70, 0.90)\n",
+ "Mkhitaryan (6.36, 0.51); (7.00, 1.11)\n",
+ "Aouar (6.17, 0.49); (6.64, 0.94)\n",
+ "Malinovskyi (6.02, 0.56); (6.61, 1.10)\n",
+ "Gudmundsson A. (6.12, 0.46); (6.47, 0.78)\n",
+ "Kamada (6.06, 0.50); (6.49, 0.87)\n",
+ "Pellegrini Lo. (6.08, 0.56); (6.63, 1.05)\n",
+ "Kostic (6.22, 0.48); (6.68, 0.90)\n",
+ "Radonjic (6.32, 0.57); (7.08, 1.31)\n",
+ "Baldanzi (5.75, 0.44); (5.97, 0.62)\n",
+ "Lovric (6.05, 0.46); (6.37, 0.76)\n",
+ "Lindstrom (6.05, 0.45); (6.40, 0.74)\n",
+ "Lazovic (6.17, 0.49); (6.57, 0.87)\n",
+ "Pereyra (6.14, 0.56); (6.68, 1.07)\n",
+ "Renato Sanches (6.14, 0.40); (6.37, 0.61)\n",
+ "Pessina (6.02, 0.48); (6.33, 0.80)\n",
+ "Guendouzi (6.03, 0.36); (6.16, 0.47)\n",
+ "Loftus-Cheek (6.06, 0.36); (6.14, 0.42)\n",
+ "Zambo Anguissa (6.10, 0.50); (6.49, 0.83)\n",
+ "Elmas (6.02, 0.54); (6.50, 0.93)\n",
+ "Bajrami (5.93, 0.36); (6.03, 0.43)\n",
+ "Ricci S. (6.04, 0.38); (6.18, 0.52)\n",
+ "Colpani (6.33, 0.53); (7.03, 1.22)\n",
+ "Ciurria (6.06, 0.54); (6.54, 1.00)\n",
+ "De Roon (6.12, 0.50); (6.46, 0.80)\n",
+ "Pogba (6.03, 0.35); (6.08, 0.41)\n",
+ "Cristante (6.14, 0.51); (6.50, 0.83)\n",
+ "Locatelli (6.12, 0.40); (6.23, 0.52)\n",
+ "Pasalic (5.95, 0.47); (6.31, 0.76)\n",
+ "Lobotka (6.08, 0.37); (6.16, 0.43)\n",
+ "Fagioli (6.09, 0.50); (6.48, 0.84)\n",
+ "Ikone' (6.04, 0.56); (6.60, 1.03)\n",
+ "Ilic (6.04, 0.43); (6.31, 0.69)\n",
+ "Ndoye (5.90, 0.39); (5.96, 0.50)\n",
+ "Ederson D.s. (6.09, 0.48); (6.42, 0.77)\n",
+ "Reijnders (6.09, 0.45); (6.39, 0.70)\n",
+ "Barak (5.81, 0.44); (6.03, 0.61)\n",
+ "Saponara (6.08, 0.48); (6.43, 0.79)\n",
+ "Mandragora (5.94, 0.55); (6.38, 0.90)\n",
+ "Weah (6.04, 0.27); (6.09, 0.30)\n",
+ "Bennacer (6.16, 0.46); (6.53, 0.78)\n",
+ "Duda (6.24, 0.53); (6.79, 1.06)\n",
+ "Castrovilli (6.03, 0.58); (6.59, 1.04)\n",
+ "Mckennie (6.25, 0.44); (6.58, 0.74)\n",
+ "Miranchuk (6.22, 0.50); (6.69, 0.93)\n",
+ "Matheus Henrique (5.81, 0.46); (6.06, 0.66)\n",
+ "De Ketelaere (5.98, 0.48); (6.32, 0.75)\n",
+ "Mboula (5.81, 0.33); (5.77, 0.35)\n",
+ "Paredes (5.79, 0.53); (5.78, 0.61)\n",
+ "Sottil (5.95, 0.39); (6.13, 0.52)\n",
+ "Klaassen (6.16, 0.40); (6.45, 0.67)\n",
+ "Arthur Melo (6.01, 0.47); (6.09, 0.57)\n",
+ "Thorsby (5.75, 0.48); (5.86, 0.63)\n",
+ "Nandez (6.02, 0.35); (6.15, 0.50)\n",
+ "Tameze (5.91, 0.34); (5.90, 0.37)\n",
+ "Marin (5.71, 0.48); (5.79, 0.62)\n",
+ "Messias (5.96, 0.53); (6.44, 0.96)\n",
+ "Musah (5.96, 0.36); (5.98, 0.41)\n",
+ "Coulibaly L. (5.91, 0.49); (6.16, 0.73)\n",
+ "Krunic (5.98, 0.38); (6.00, 0.44)\n",
+ "Cataldi (5.97, 0.36); (5.94, 0.38)\n",
+ "Strootman (5.95, 0.37); (6.06, 0.49)\n",
+ "Duncan (6.10, 0.45); (6.42, 0.74)\n",
+ "Freuler (5.95, 0.29); (5.94, 0.33)\n",
+ "Gagliardini (5.85, 0.38); (5.80, 0.39)\n",
+ "Mazzitelli (6.09, 0.65); (6.51, 1.06)\n",
+ "Jankto (5.95, 0.31); (5.94, 0.33)\n",
+ "Kastanos (5.86, 0.35); (5.98, 0.44)\n",
+ "Gyasi (5.63, 0.43); (5.62, 0.50)\n",
+ "Reinier (5.93, 0.46); (6.00, 0.57)\n",
+ "Zalewski (5.94, 0.36); (6.09, 0.46)\n",
+ "Harroui (6.19, 0.46); (6.59, 0.82)\n",
+ "Frendrup (6.01, 0.37); (6.13, 0.49)\n",
+ "Blin (5.95, 0.29); (5.96, 0.32)\n",
+ "Fabbian (6.05, 0.43); (6.36, 0.77)\n",
+ "Ramadani (6.11, 0.45); (6.26, 0.60)\n",
+ "Cajuste (5.92, 0.48); (5.98, 0.57)\n",
+ "Mancosu (5.91, 0.44); (5.94, 0.53)\n",
+ "Vecino (5.91, 0.44); (6.00, 0.58)\n",
+ "Sensi (6.15, 0.45); (6.49, 0.72)\n",
+ "Walace (5.81, 0.38); (5.76, 0.43)\n",
+ "Lopez M. (5.78, 0.40); (5.70, 0.41)\n",
+ "Brescianini (6.01, 0.37); (6.02, 0.41)\n",
+ "Bove (6.03, 0.35); (6.18, 0.48)\n",
+ "Aebischer (5.90, 0.33); (6.00, 0.43)\n",
+ "Thorstvedt (5.90, 0.34); (5.97, 0.41)\n",
+ "Gonzalez J. (5.89, 0.39); (5.98, 0.53)\n",
+ "Moro N. (6.01, 0.37); (6.19, 0.54)\n",
+ "Oudin (6.02, 0.48); (6.31, 0.76)\n",
+ "Boloca (5.80, 0.48); (5.80, 0.57)\n",
+ "Rafia (6.04, 0.37); (6.24, 0.55)\n",
+ "Makoumbou (5.91, 0.33); (5.95, 0.41)\n",
+ "Kaba (5.97, 0.27); (5.97, 0.29)\n",
+ "Badelj (5.87, 0.40); (5.85, 0.39)\n",
+ "Machin (5.85, 0.46); (5.92, 0.60)\n",
+ "Linetty (5.90, 0.35); (5.92, 0.41)\n",
+ "Castillejo (5.83, 0.36); (6.00, 0.50)\n",
+ "Rovella (6.05, 0.46); (6.17, 0.59)\n",
+ "Pobega (5.91, 0.37); (6.07, 0.50)\n",
+ "Hongla (5.86, 0.37); (5.90, 0.44)\n",
+ "Miretti (6.00, 0.35); (6.09, 0.42)\n",
+ "Fazzini (5.67, 0.33); (5.56, 0.35)\n",
+ "Iling Junior (5.99, 0.42); (6.11, 0.55)\n",
+ "Oristanio (5.89, 0.37); (5.86, 0.38)\n",
+ "Serdar (5.89, 0.38); (5.89, 0.45)\n",
+ "Payero (5.84, 0.41); (5.87, 0.52)\n",
+ "Grassi (5.67, 0.42); (5.56, 0.44)\n",
+ "Baez (5.99, 0.37); (6.11, 0.47)\n",
+ "Deiola (5.76, 0.46); (5.82, 0.59)\n",
+ "Garritano (6.13, 0.34); (6.18, 0.41)\n",
+ "Bourabia (5.97, 0.40); (6.07, 0.50)\n",
+ "Saelemaekers (5.95, 0.43); (6.21, 0.66)\n",
+ "Maldini (5.81, 0.45); (6.10, 0.69)\n",
+ "Racic (5.91, 0.35); (5.90, 0.39)\n",
+ "Kovalenko (5.78, 0.34); (5.73, 0.37)\n",
+ "Maleh (5.65, 0.30); (5.53, 0.32)\n",
+ "Bohinen (5.91, 0.26); (5.88, 0.25)\n",
+ "Ranocchia F. (5.88, 0.40); (6.11, 0.57)\n",
+ "Folorunsho (5.93, 0.47); (6.24, 0.76)\n",
+ "Infantino (5.82, 0.32); (5.77, 0.32)\n",
+ "Martegani (5.88, 0.45); (5.92, 0.54)\n",
+ "Kutlu (5.87, 0.40); (5.85, 0.41)\n",
+ "Tchatchoua (5.89, 0.46); (5.97, 0.59)\n",
+ "Quina (5.97, 0.35); (6.01, 0.43)\n",
+ "Adopo (5.85, 0.51); (5.87, 0.58)\n",
+ "Romero L. (6.19, 0.49); (6.68, 0.97)\n",
+ "Basic (5.96, 0.37); (6.05, 0.46)\n",
+ "Asllani (5.89, 0.31); (5.88, 0.27)\n",
+ "Tchaouna (5.81, 0.38); (5.81, 0.44)\n",
+ "Sulemana I. (5.83, 0.31); (5.78, 0.31)\n",
+ "Barrenechea (5.96, 0.42); (5.99, 0.48)\n",
+ "Gelli (5.94, 0.47); (6.01, 0.56)\n",
+ "Suslov (5.92, 0.42); (5.96, 0.53)\n",
+ "Gaetano (6.12, 0.53); (6.72, 1.06)\n",
+ "Jagiello (5.90, 0.45); (5.90, 0.50)\n",
+ "Obiang (5.90, 0.30); (5.86, 0.30)\n",
+ "Maggiore (5.89, 0.25); (5.86, 0.24)\n",
+ "Akpa Akpro (5.85, 0.46); (5.92, 0.60)\n",
+ "Urbanski (5.94, 0.34); (5.98, 0.44)\n",
+ "Volpato (5.92, 0.39); (6.05, 0.54)\n",
+ "Vignato S. (5.81, 0.40); (5.78, 0.45)\n",
+ "Hrustic (5.63, 0.32); (5.62, 0.34)\n",
+ "Zarraga (5.63, 0.39); (5.57, 0.41)\n",
+ "Camara E. (5.82, 0.45); (5.88, 0.59)\n",
+ "Amatucci (5.86, 0.41); (5.87, 0.48)\n",
+ "Pagano (5.98, 0.28); (5.98, 0.30)\n",
+ "Prati (5.91, 0.40); (5.91, 0.44)\n",
+ "Viola (5.85, 0.33); (5.82, 0.30)\n",
+ "Lulic K. (5.93, 0.46); (6.00, 0.57)\n",
+ "Rog (5.87, 0.36); (5.85, 0.36)\n",
+ "Nicolussi Caviglia (5.83, 0.48); (6.00, 0.67)\n",
+ "Demme (6.00, 0.26); (5.95, 0.22)\n",
+ "Pafundi (6.04, 0.31); (6.06, 0.32)\n",
+ "Adli (5.83, 0.40); (5.94, 0.51)\n",
+ "Bondo (5.91, 0.42); (5.96, 0.54)\n",
+ "Zerbin (6.05, 0.35); (6.12, 0.41)\n",
+ "Carboni V. (5.99, 0.37); (6.06, 0.47)\n",
+ "Faticanti (5.92, 0.44); (6.01, 0.57)\n",
+ "Gineitis (5.97, 0.37); (6.02, 0.47)\n",
+ "Belardinelli (5.69, 0.49); (5.71, 0.60)\n",
+ "El Azzouzi (5.96, 0.30); (5.98, 0.36)\n",
+ "Lipani (5.83, 0.46); (5.86, 0.56)\n",
+ "Joselito (5.89, 0.46); (5.97, 0.59)\n",
+ "Legowski (5.88, 0.48); (5.96, 0.61)\n",
+ "Ibrahimovic A. (5.93, 0.46); (6.00, 0.57)\n",
+ "Osimhen (6.47, 0.76); (7.90, 2.05)\n",
+ "Martinez L. (6.50, 0.67); (7.94, 1.98)\n",
+ "Rafael Leao (6.43, 0.67); (7.72, 1.86)\n",
+ "Lukaku (6.33, 0.72); (7.50, 1.75)\n",
+ "Berardi (6.40, 0.71); (7.68, 1.89)\n",
+ "Immobile (6.14, 0.67); (6.99, 1.42)\n",
+ "Vlahovic (6.35, 0.74); (7.45, 1.76)\n",
+ "Dybala (6.43, 0.73); (7.78, 1.95)\n",
+ "Kvaratskhelia (6.40, 0.66); (7.57, 1.74)\n",
+ "Giroud (6.38, 0.66); (7.58, 1.77)\n",
+ "Scamacca (6.28, 0.73); (7.33, 1.67)\n",
+ "Thuram (6.47, 0.53); (7.27, 1.35)\n",
+ "Lookman (6.37, 0.70); (7.53, 1.78)\n",
+ "Dia (6.24, 0.72); (7.26, 1.61)\n",
+ "Arnautovic (6.36, 0.56); (7.18, 1.33)\n",
+ "Retegui (6.03, 0.65); (6.71, 1.21)\n",
+ "Sanabria (6.18, 0.60); (6.99, 1.34)\n",
+ "Nzola (5.99, 0.62); (6.63, 1.10)\n",
+ "Lauriente' (6.23, 0.61); (6.98, 1.36)\n",
+ "Zapata D. (5.96, 0.46); (6.29, 0.74)\n",
+ "Chiesa (6.41, 0.56); (7.25, 1.38)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Toure' E. (6.01, 0.44); (6.09, 0.53)\n",
- "Beltran L. (5.91, 0.54); (6.38, 0.85)\n",
- "Lapadula (6.08, 0.54); (6.60, 1.02)\n",
- "Caprari (6.03, 0.52); (6.42, 0.86)\n",
- "Sanchez (6.27, 0.48); (6.70, 0.89)\n",
- "Abraham (6.18, 0.64); (6.95, 1.29)\n",
- "Caputo (5.87, 0.51); (6.27, 0.79)\n",
- "Ngonge (6.27, 0.64); (7.07, 1.36)\n",
- "Muriel (6.17, 0.46); (6.44, 0.73)\n",
- "Pinamonti (5.89, 0.54); (6.27, 0.85)\n",
- "Deulofeu (6.36, 0.61); (7.20, 1.42)\n",
- "Jovic (6.07, 0.64); (6.70, 1.17)\n",
- "Zirkzee (6.28, 0.52); (6.82, 1.05)\n",
- "Krstovic (6.23, 0.41); (6.49, 0.64)\n",
- "Petagna (6.02, 0.51); (6.46, 0.88)\n",
- "Belotti (6.02, 0.54); (6.52, 0.94)\n",
- "Simeone (6.20, 0.52); (6.71, 1.00)\n",
- "Cambiaghi (6.20, 0.51); (6.63, 0.92)\n",
- "Shomurodov (5.63, 0.34); (5.73, 0.38)\n",
- "Azmoun (6.00, 0.44); (6.38, 0.78)\n",
- "Castellanos (6.07, 0.33); (6.08, 0.37)\n",
- "Thauvin (5.76, 0.31); (5.89, 0.38)\n",
- "Pedro (6.12, 0.49); (6.44, 0.78)\n",
- "Brekalo (6.15, 0.66); (6.86, 1.24)\n",
- "Henry (5.90, 0.55); (6.31, 0.84)\n",
- "Mulattieri (6.02, 0.42); (6.40, 0.79)\n",
- "Almqvist (6.05, 0.55); (6.40, 0.87)\n",
- "Isaksen (5.95, 0.39); (5.93, 0.45)\n",
- "Karlsson (6.10, 0.43); (6.47, 0.80)\n",
- "Kean (5.93, 0.62); (6.45, 1.06)\n",
- "Karamoh (6.06, 0.47); (6.41, 0.78)\n",
- "Djuric (6.01, 0.37); (6.16, 0.49)\n",
- "Davis K. (5.85, 0.46); (5.94, 0.59)\n",
- "Mota (5.94, 0.58); (6.40, 0.95)\n",
- "Brenner (5.85, 0.46); (5.94, 0.59)\n",
- "Cheddira (6.07, 0.55); (6.58, 1.01)\n",
- "Defrel (5.80, 0.43); (6.05, 0.64)\n",
- "Raspadori (5.86, 0.48); (6.17, 0.69)\n",
- "Colombo (5.93, 0.58); (6.41, 0.94)\n",
- "Luvumbo (6.00, 0.36); (6.17, 0.50)\n",
- "Banda (6.10, 0.43); (6.30, 0.62)\n",
- "Bonazzoli (6.07, 0.53); (6.50, 0.89)\n",
- "Pellegri (5.82, 0.44); (6.09, 0.65)\n",
- "Kouame' (6.01, 0.59); (6.53, 0.98)\n",
- "Piccoli (5.95, 0.51); (6.36, 0.84)\n",
- "Success (5.88, 0.42); (6.13, 0.61)\n",
- "Botheim (5.79, 0.42); (6.02, 0.59)\n",
- "Lucca (5.97, 0.45); (6.31, 0.72)\n",
- "Caso (6.14, 0.43); (6.41, 0.71)\n",
- "Cancellieri (5.67, 0.32); (5.68, 0.34)\n",
- "Jovane (6.03, 0.46); (6.14, 0.59)\n",
- "Pavoletti (5.95, 0.39); (6.20, 0.62)\n",
- "Soule' (6.15, 0.43); (6.37, 0.62)\n",
- "Alvarez A. (5.92, 0.44); (6.22, 0.68)\n",
- "Cuni (5.98, 0.32); (5.98, 0.34)\n",
- "Ekuban (5.86, 0.35); (6.01, 0.43)\n",
- "Seck (6.01, 0.30); (6.08, 0.34)\n",
- "Kvernadze (5.95, 0.42); (5.98, 0.49)\n",
- "Destro (5.77, 0.42); (5.95, 0.59)\n",
- "Van Hooijdonk (5.90, 0.41); (5.98, 0.54)\n",
- "Ceide (5.89, 0.33); (6.00, 0.35)\n",
- "Maric (5.96, 0.36); (5.97, 0.42)\n",
- "Shpendi S. (5.85, 0.41); (5.93, 0.54)\n",
- "Ikwuemesi (5.94, 0.38); (5.94, 0.42)\n",
- "Puscas (5.95, 0.45); (5.98, 0.53)\n",
- "Ake' M. (5.91, 0.39); (5.93, 0.46)\n",
- "Braaf (5.63, 0.37); (5.78, 0.45)\n",
- "Kallon (5.89, 0.44); (6.15, 0.65)\n",
- "Kaio Jorge (5.93, 0.29); (5.92, 0.28)\n",
- "Valencia D. (5.81, 0.31); (5.76, 0.33)\n",
- "Vivaldo (5.85, 0.46); (5.94, 0.59)\n",
- "Bidaoui (5.98, 0.47); (6.05, 0.58)\n",
- "Burnete (6.01, 0.41); (6.07, 0.51)\n",
- "Corfitzen (5.99, 0.46); (6.07, 0.59)\n",
- "Stewart (6.03, 0.46); (6.14, 0.59)\n",
- "Yildiz (6.03, 0.45); (6.15, 0.57)\n"
+ "Milik (6.20, 0.50); (6.71, 0.99)\n",
+ "Gonzalez N. (6.25, 0.64); (7.23, 1.53)\n",
+ "Okafor (5.95, 0.29); (5.95, 0.31)\n",
+ "Pinamonti (5.93, 0.59); (6.45, 1.01)\n",
+ "Beltran L. (5.98, 0.55); (6.50, 0.95)\n",
+ "Caprari (5.98, 0.52); (6.40, 0.89)\n",
+ "Sanchez (6.18, 0.46); (6.61, 0.86)\n",
+ "Caputo (5.69, 0.46); (5.95, 0.61)\n",
+ "Toure' E. (5.97, 0.45); (6.11, 0.59)\n",
+ "Krstovic (6.26, 0.43); (6.63, 0.79)\n",
+ "Belotti (6.11, 0.49); (6.59, 0.93)\n",
+ "Muriel (6.13, 0.46); (6.50, 0.81)\n",
+ "Lapadula (5.99, 0.51); (6.44, 0.94)\n",
+ "Jovic (6.00, 0.59); (6.59, 1.07)\n",
+ "Abraham (6.19, 0.60); (6.98, 1.31)\n",
+ "Zirkzee (6.21, 0.50); (6.73, 1.00)\n",
+ "Ngonge (6.08, 0.58); (6.70, 1.13)\n",
+ "Petagna (5.94, 0.50); (6.35, 0.87)\n",
+ "Simeone (5.82, 0.49); (6.25, 0.75)\n",
+ "Deulofeu (6.30, 0.59); (7.13, 1.41)\n",
+ "Pedro (6.04, 0.48); (6.38, 0.79)\n",
+ "Shomurodov (5.75, 0.39); (5.96, 0.56)\n",
+ "Azmoun (5.89, 0.38); (6.14, 0.58)\n",
+ "Castellanos (5.96, 0.29); (5.95, 0.31)\n",
+ "Cheddira (6.12, 0.63); (6.86, 1.30)\n",
+ "Karlsson (6.10, 0.44); (6.46, 0.79)\n",
+ "Brekalo (6.05, 0.60); (6.69, 1.12)\n",
+ "Cambiaghi (5.99, 0.57); (6.53, 1.05)\n",
+ "Henry (5.86, 0.51); (6.22, 0.79)\n",
+ "Mulattieri (5.91, 0.39); (6.22, 0.68)\n",
+ "Almqvist (6.05, 0.54); (6.48, 0.91)\n",
+ "Isaksen (5.86, 0.42); (5.90, 0.51)\n",
+ "Kean (5.87, 0.57); (6.31, 0.93)\n",
+ "Karamoh (5.96, 0.41); (6.22, 0.64)\n",
+ "Thauvin (5.71, 0.34); (5.82, 0.42)\n",
+ "Kouame' (6.10, 0.63); (6.86, 1.28)\n",
+ "Raspadori (5.93, 0.53); (6.36, 0.85)\n",
+ "Colombo (5.91, 0.55); (6.39, 0.95)\n",
+ "Luvumbo (5.96, 0.37); (6.11, 0.52)\n",
+ "Mota (5.87, 0.54); (6.29, 0.88)\n",
+ "Brenner (5.81, 0.45); (5.90, 0.59)\n",
+ "Bonazzoli (5.99, 0.48); (6.37, 0.80)\n",
+ "Djuric (5.95, 0.35); (6.10, 0.47)\n",
+ "Davis K. (5.81, 0.45); (5.90, 0.59)\n",
+ "Banda (6.08, 0.44); (6.35, 0.69)\n",
+ "Defrel (5.75, 0.42); (5.96, 0.59)\n",
+ "Sansone (6.19, 0.56); (6.85, 1.19)\n",
+ "Pellegri (5.79, 0.41); (6.00, 0.58)\n",
+ "Piccoli (5.87, 0.41); (6.14, 0.63)\n",
+ "Success (5.87, 0.41); (6.09, 0.61)\n",
+ "Botheim (5.71, 0.35); (5.84, 0.47)\n",
+ "Lucca (5.81, 0.38); (5.95, 0.53)\n",
+ "Caso (6.13, 0.47); (6.53, 0.84)\n",
+ "Jovane (5.86, 0.48); (5.99, 0.64)\n",
+ "Soule' (6.25, 0.42); (6.54, 0.71)\n",
+ "Pavoletti (5.80, 0.38); (5.97, 0.55)\n",
+ "Cancellieri (5.60, 0.34); (5.54, 0.35)\n",
+ "Seck (6.11, 0.34); (6.22, 0.42)\n",
+ "Alvarez A. (5.86, 0.43); (6.14, 0.66)\n",
+ "Cuni (5.97, 0.32); (5.98, 0.35)\n",
+ "Ekuban (5.83, 0.35); (5.95, 0.41)\n",
+ "Maric (5.95, 0.34); (5.98, 0.40)\n",
+ "Cruz (5.88, 0.47); (6.00, 0.62)\n",
+ "Destro (5.62, 0.46); (5.66, 0.53)\n",
+ "Van Hooijdonk (5.94, 0.40); (6.06, 0.55)\n",
+ "Ceide (5.72, 0.40); (5.80, 0.44)\n",
+ "Kvernadze (5.91, 0.42); (5.97, 0.51)\n",
+ "Ikwuemesi (5.82, 0.40); (5.87, 0.48)\n",
+ "Puscas (5.90, 0.45); (5.94, 0.51)\n",
+ "Ake' M. (5.86, 0.39); (5.88, 0.48)\n",
+ "Braaf (5.64, 0.35); (5.74, 0.41)\n",
+ "Kallon (5.84, 0.41); (6.05, 0.59)\n",
+ "Kaio Jorge (5.92, 0.29); (5.94, 0.30)\n",
+ "Vivaldo (5.81, 0.45); (5.90, 0.59)\n",
+ "Bidaoui (5.93, 0.47); (6.04, 0.61)\n",
+ "Shpendi S. (5.67, 0.43); (5.65, 0.49)\n",
+ "Burnete (5.96, 0.40); (6.05, 0.52)\n",
+ "Corfitzen (5.91, 0.46); (6.03, 0.62)\n",
+ "Stewart (5.86, 0.48); (5.99, 0.64)\n",
+ "Yildiz (6.00, 0.44); (6.14, 0.58)\n"
]
},
{
@@ -7598,28 +7764,6 @@
" \n",
" \n",
" \n",
- " Rossi F. \n",
- " P \n",
- " Atalanta \n",
- " Avg \n",
- " 1 \n",
- " 0 \n",
- " 0 \n",
- " 6.135997 \n",
- " 0.461613 \n",
- " 5.714022 \n",
- " 0.660724 \n",
- " 6.048627 \n",
- " 0.519124 \n",
- " 0.124012 \n",
- " 1.029053 \n",
- " 6.517968 \n",
- " 0.605796 \n",
- " -0.846135 \n",
- " 1.143799 \n",
- " 54.688394 \n",
- " \n",
- " \n",
" Musso \n",
" P \n",
" Atalanta \n",
@@ -7627,19 +7771,19 @@
" 1 \n",
" 1 \n",
" 100 \n",
- " 6.143759 \n",
- " 0.456892 \n",
- " 5.663907 \n",
- " 0.658830 \n",
- " 6.074820 \n",
- " 0.520088 \n",
- " 0.097725 \n",
- " 1.026161 \n",
- " 6.444280 \n",
- " 0.633181 \n",
- " -0.799317 \n",
- " 1.137828 \n",
- " 45.054388 \n",
+ " 6.171178 \n",
+ " 0.427645 \n",
+ " 5.716592 \n",
+ " 0.632592 \n",
+ " 6.120677 \n",
+ " 0.493384 \n",
+ " 0.075656 \n",
+ " 1.078080 \n",
+ " 6.470728 \n",
+ " 0.603981 \n",
+ " -0.807733 \n",
+ " 1.135469 \n",
+ " 58.570200 \n",
" \n",
" \n",
" Carnesecchi \n",
@@ -7649,19 +7793,41 @@
" 1 \n",
" 0 \n",
" 0 \n",
- " 6.171613 \n",
- " 0.448379 \n",
- " 5.270031 \n",
- " 0.694458 \n",
- " 6.124808 \n",
- " 0.517080 \n",
- " 0.066629 \n",
- " 1.021485 \n",
- " 5.670223 \n",
- " 0.973802 \n",
- " -0.307640 \n",
- " 1.065162 \n",
- " 30.680643 \n",
+ " 5.869667 \n",
+ " 0.502827 \n",
+ " 3.425929 \n",
+ " 1.371020 \n",
+ " 6.030291 \n",
+ " 0.638892 \n",
+ " -0.184642 \n",
+ " 1.097941 \n",
+ " 4.448452 \n",
+ " 1.535484 \n",
+ " -0.582005 \n",
+ " 0.860812 \n",
+ " 1.164914 \n",
+ " \n",
+ " \n",
+ " Rossi F. \n",
+ " P \n",
+ " Atalanta \n",
+ " Avg \n",
+ " 1 \n",
+ " 0 \n",
+ " 0 \n",
+ " 5.960478 \n",
+ " 0.501686 \n",
+ " 3.407276 \n",
+ " 1.365965 \n",
+ " 5.941229 \n",
+ " 0.593570 \n",
+ " 0.024161 \n",
+ " 1.093842 \n",
+ " 4.423328 \n",
+ " 1.528818 \n",
+ " -0.581675 \n",
+ " 0.862571 \n",
+ " 1.128720 \n",
" \n",
" \n",
" Zappacosta \n",
@@ -7671,40 +7837,40 @@
" 1 \n",
" 1 \n",
" 100 \n",
- " 6.164220 \n",
- " 0.536976 \n",
- " 6.543927 \n",
- " 0.876288 \n",
- " 6.096765 \n",
- " 0.610885 \n",
- " 0.081141 \n",
- " 0.849494 \n",
- " 5.867186 \n",
- " 1.148170 \n",
- " 0.417483 \n",
- " 1.299464 \n",
+ " 6.098510 \n",
+ " 0.555344 \n",
+ " 6.568691 \n",
+ " 0.979324 \n",
+ " 5.952041 \n",
+ " 0.611557 \n",
+ " 0.174813 \n",
+ " 0.810975 \n",
+ " 5.694494 \n",
+ " 1.174959 \n",
+ " 0.514689 \n",
+ " 1.299705 \n",
" 0.000000 \n",
" \n",
" \n",
- " Zortea \n",
+ " Ruggeri \n",
" D \n",
" Atalanta \n",
" Avg \n",
" 1 \n",
- " 0 \n",
- " 66 \n",
- " 6.127283 \n",
- " 0.439518 \n",
- " 6.378233 \n",
- " 0.647546 \n",
- " 6.074436 \n",
- " 0.502348 \n",
- " 0.077442 \n",
- " 0.919646 \n",
- " 5.907557 \n",
- " 0.872174 \n",
- " 0.385011 \n",
- " 1.299393 \n",
+ " 1 \n",
+ " 100 \n",
+ " 6.087699 \n",
+ " 0.554154 \n",
+ " 6.456921 \n",
+ " 0.876787 \n",
+ " 6.054248 \n",
+ " 0.637605 \n",
+ " 0.038587 \n",
+ " 0.828000 \n",
+ " 5.812500 \n",
+ " 1.175351 \n",
+ " 0.391089 \n",
+ " 1.299670 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -7730,28 +7896,6 @@
" ... \n",
" \n",
" \n",
- " Bonazzoli \n",
- " A \n",
- " Verona \n",
- " Avg \n",
- " 1 \n",
- " 0 \n",
- " 100 \n",
- " 6.072518 \n",
- " 0.526842 \n",
- " 6.502965 \n",
- " 0.886756 \n",
- " 5.816470 \n",
- " 0.540459 \n",
- " 0.343905 \n",
- " 0.844684 \n",
- " 5.592752 \n",
- " 0.931571 \n",
- " 0.648695 \n",
- " 1.299513 \n",
- " 0.000000 \n",
- " \n",
- " \n",
" Henry \n",
" A \n",
" Verona \n",
@@ -7759,18 +7903,18 @@
" 1 \n",
" 0 \n",
" 0 \n",
- " 5.904871 \n",
- " 0.547199 \n",
- " 6.312075 \n",
- " 0.840993 \n",
- " 5.585084 \n",
- " 0.541561 \n",
- " 0.424691 \n",
- " 0.833344 \n",
- " 5.439171 \n",
- " 0.871586 \n",
- " 0.660970 \n",
- " 1.299495 \n",
+ " 5.855402 \n",
+ " 0.505158 \n",
+ " 6.219285 \n",
+ " 0.793892 \n",
+ " 5.594287 \n",
+ " 0.513562 \n",
+ " 0.367600 \n",
+ " 0.835252 \n",
+ " 5.435407 \n",
+ " 0.871782 \n",
+ " 0.604878 \n",
+ " 1.299692 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -7781,18 +7925,18 @@
" 1 \n",
" 0 \n",
" 100 \n",
- " 6.009929 \n",
- " 0.374071 \n",
- " 6.164560 \n",
- " 0.494678 \n",
- " 5.926849 \n",
- " 0.415523 \n",
- " 0.147962 \n",
- " 0.975165 \n",
- " 5.780578 \n",
- " 0.645541 \n",
- " 0.421290 \n",
- " 1.299341 \n",
+ " 5.948880 \n",
+ " 0.348636 \n",
+ " 6.099661 \n",
+ " 0.472785 \n",
+ " 5.886502 \n",
+ " 0.392925 \n",
+ " 0.117059 \n",
+ " 0.988531 \n",
+ " 5.772749 \n",
+ " 0.649155 \n",
+ " 0.361159 \n",
+ " 1.299597 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -7803,18 +7947,40 @@
" 1 \n",
" 0 \n",
" 0 \n",
- " 5.888568 \n",
- " 0.441270 \n",
- " 6.152357 \n",
- " 0.645718 \n",
- " 5.679896 \n",
- " 0.448357 \n",
- " 0.337417 \n",
- " 0.919836 \n",
- " 5.527265 \n",
- " 0.723476 \n",
- " 0.585107 \n",
- " 1.299425 \n",
+ " 5.837097 \n",
+ " 0.413428 \n",
+ " 6.047479 \n",
+ " 0.594338 \n",
+ " 5.662558 \n",
+ " 0.429064 \n",
+ " 0.295895 \n",
+ " 0.922908 \n",
+ " 5.502729 \n",
+ " 0.699002 \n",
+ " 0.535697 \n",
+ " 1.299641 \n",
+ " 0.000000 \n",
+ " \n",
+ " \n",
+ " Cruz \n",
+ " A \n",
+ " Verona \n",
+ " Avg \n",
+ " 1 \n",
+ " 0 \n",
+ " 0 \n",
+ " 5.879865 \n",
+ " 0.465164 \n",
+ " 6.001499 \n",
+ " 0.617923 \n",
+ " 5.876376 \n",
+ " 0.544286 \n",
+ " 0.004557 \n",
+ " 0.915138 \n",
+ " 5.675189 \n",
+ " 0.915135 \n",
+ " 0.260538 \n",
+ " 1.299582 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -7825,86 +7991,86 @@
" 1 \n",
" 0 \n",
" 0 \n",
- " 5.634034 \n",
- " 0.373243 \n",
- " 5.780195 \n",
- " 0.453907 \n",
- " 5.472137 \n",
- " 0.381481 \n",
- " 0.308377 \n",
- " 0.982415 \n",
- " 5.418116 \n",
- " 0.585017 \n",
- " 0.436805 \n",
- " 1.299298 \n",
+ " 5.644437 \n",
+ " 0.345748 \n",
+ " 5.742957 \n",
+ " 0.413469 \n",
+ " 5.520224 \n",
+ " 0.365075 \n",
+ " 0.248614 \n",
+ " 0.991181 \n",
+ " 5.455955 \n",
+ " 0.567369 \n",
+ " 0.362917 \n",
+ " 1.299570 \n",
" 0.000000 \n",
" \n",
" \n",
"\n",
- "535 rows × 19 columns
\n",
+ "539 rows × 19 columns
\n",
""
],
"text/plain": [
" role team oppteam home starter vote% MV MV std \\\n",
"player \n",
- "Rossi F. P Atalanta Avg 1 0 0 6.135997 0.461613 \n",
- "Musso P Atalanta Avg 1 1 100 6.143759 0.456892 \n",
- "Carnesecchi P Atalanta Avg 1 0 0 6.171613 0.448379 \n",
- "Zappacosta D Atalanta Avg 1 1 100 6.164220 0.536976 \n",
- "Zortea D Atalanta Avg 1 0 66 6.127283 0.439518 \n",
+ "Musso P Atalanta Avg 1 1 100 6.171178 0.427645 \n",
+ "Carnesecchi P Atalanta Avg 1 0 0 5.869667 0.502827 \n",
+ "Rossi F. P Atalanta Avg 1 0 0 5.960478 0.501686 \n",
+ "Zappacosta D Atalanta Avg 1 1 100 6.098510 0.555344 \n",
+ "Ruggeri D Atalanta Avg 1 1 100 6.087699 0.554154 \n",
"... ... ... ... ... ... ... ... ... \n",
- "Bonazzoli A Verona Avg 1 0 100 6.072518 0.526842 \n",
- "Henry A Verona Avg 1 0 0 5.904871 0.547199 \n",
- "Djuric A Verona Avg 1 0 100 6.009929 0.374071 \n",
- "Kallon A Verona Avg 1 0 0 5.888568 0.441270 \n",
- "Braaf A Verona Avg 1 0 0 5.634034 0.373243 \n",
+ "Henry A Verona Avg 1 0 0 5.855402 0.505158 \n",
+ "Djuric A Verona Avg 1 0 100 5.948880 0.348636 \n",
+ "Kallon A Verona Avg 1 0 0 5.837097 0.413428 \n",
+ "Cruz A Verona Avg 1 0 0 5.879865 0.465164 \n",
+ "Braaf A Verona Avg 1 0 0 5.644437 0.345748 \n",
"\n",
" FV FV std MV loc MV scale MV skewness \\\n",
"player \n",
- "Rossi F. 5.714022 0.660724 6.048627 0.519124 0.124012 \n",
- "Musso 5.663907 0.658830 6.074820 0.520088 0.097725 \n",
- "Carnesecchi 5.270031 0.694458 6.124808 0.517080 0.066629 \n",
- "Zappacosta 6.543927 0.876288 6.096765 0.610885 0.081141 \n",
- "Zortea 6.378233 0.647546 6.074436 0.502348 0.077442 \n",
+ "Musso 5.716592 0.632592 6.120677 0.493384 0.075656 \n",
+ "Carnesecchi 3.425929 1.371020 6.030291 0.638892 -0.184642 \n",
+ "Rossi F. 3.407276 1.365965 5.941229 0.593570 0.024161 \n",
+ "Zappacosta 6.568691 0.979324 5.952041 0.611557 0.174813 \n",
+ "Ruggeri 6.456921 0.876787 6.054248 0.637605 0.038587 \n",
"... ... ... ... ... ... \n",
- "Bonazzoli 6.502965 0.886756 5.816470 0.540459 0.343905 \n",
- "Henry 6.312075 0.840993 5.585084 0.541561 0.424691 \n",
- "Djuric 6.164560 0.494678 5.926849 0.415523 0.147962 \n",
- "Kallon 6.152357 0.645718 5.679896 0.448357 0.337417 \n",
- "Braaf 5.780195 0.453907 5.472137 0.381481 0.308377 \n",
+ "Henry 6.219285 0.793892 5.594287 0.513562 0.367600 \n",
+ "Djuric 6.099661 0.472785 5.886502 0.392925 0.117059 \n",
+ "Kallon 6.047479 0.594338 5.662558 0.429064 0.295895 \n",
+ "Cruz 6.001499 0.617923 5.876376 0.544286 0.004557 \n",
+ "Braaf 5.742957 0.413469 5.520224 0.365075 0.248614 \n",
"\n",
" MV tailweight FV loc FV scale FV skewness FV tailweight \\\n",
"player \n",
- "Rossi F. 1.029053 6.517968 0.605796 -0.846135 1.143799 \n",
- "Musso 1.026161 6.444280 0.633181 -0.799317 1.137828 \n",
- "Carnesecchi 1.021485 5.670223 0.973802 -0.307640 1.065162 \n",
- "Zappacosta 0.849494 5.867186 1.148170 0.417483 1.299464 \n",
- "Zortea 0.919646 5.907557 0.872174 0.385011 1.299393 \n",
+ "Musso 1.078080 6.470728 0.603981 -0.807733 1.135469 \n",
+ "Carnesecchi 1.097941 4.448452 1.535484 -0.582005 0.860812 \n",
+ "Rossi F. 1.093842 4.423328 1.528818 -0.581675 0.862571 \n",
+ "Zappacosta 0.810975 5.694494 1.174959 0.514689 1.299705 \n",
+ "Ruggeri 0.828000 5.812500 1.175351 0.391089 1.299670 \n",
"... ... ... ... ... ... \n",
- "Bonazzoli 0.844684 5.592752 0.931571 0.648695 1.299513 \n",
- "Henry 0.833344 5.439171 0.871586 0.660970 1.299495 \n",
- "Djuric 0.975165 5.780578 0.645541 0.421290 1.299341 \n",
- "Kallon 0.919836 5.527265 0.723476 0.585107 1.299425 \n",
- "Braaf 0.982415 5.418116 0.585017 0.436805 1.299298 \n",
+ "Henry 0.835252 5.435407 0.871782 0.604878 1.299692 \n",
+ "Djuric 0.988531 5.772749 0.649155 0.361159 1.299597 \n",
+ "Kallon 0.922908 5.502729 0.699002 0.535697 1.299641 \n",
+ "Cruz 0.915138 5.675189 0.915135 0.260538 1.299582 \n",
+ "Braaf 0.991181 5.455955 0.567369 0.362917 1.299570 \n",
"\n",
" Clean Sheet % \n",
"player \n",
- "Rossi F. 54.688394 \n",
- "Musso 45.054388 \n",
- "Carnesecchi 30.680643 \n",
+ "Musso 58.570200 \n",
+ "Carnesecchi 1.164914 \n",
+ "Rossi F. 1.128720 \n",
"Zappacosta 0.000000 \n",
- "Zortea 0.000000 \n",
+ "Ruggeri 0.000000 \n",
"... ... \n",
- "Bonazzoli 0.000000 \n",
"Henry 0.000000 \n",
"Djuric 0.000000 \n",
"Kallon 0.000000 \n",
+ "Cruz 0.000000 \n",
"Braaf 0.000000 \n",
"\n",
- "[535 rows x 19 columns]"
+ "[539 rows x 19 columns]"
]
},
- "execution_count": 78,
+ "execution_count": 45,
"metadata": {},
"output_type": "execute_result"
}
@@ -7995,7 +8161,7 @@
},
{
"cell_type": "code",
- "execution_count": 79,
+ "execution_count": 46,
"id": "b47cbd63",
"metadata": {},
"outputs": [],
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diff --git a/fantacalcio/voti/Voti_Fantacalcio_Stagione_2023_24_Giornata_4.xlsx b/fantacalcio/voti/Voti_Fantacalcio_Stagione_2023_24_Giornata_4.xlsx
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diff --git a/fbref_data/keepers_players.csv b/fbref_data/keepers_players.csv
index 97e418b..b458798 100644
--- a/fbref_data/keepers_players.csv
+++ b/fbref_data/keepers_players.csv
@@ -1,26 +1,29 @@
player,nationality,position,team,age,birth_year,gk_games,gk_games_starts,gk_minutes,gk_goals_against,gk_goals_against_per90,gk_shots_on_target_against,gk_saves,gk_save_pct,gk_wins,gk_ties,gk_losses,gk_clean_sheets,gk_clean_sheets_pct,gk_pens_att,gk_pens_allowed,gk_pens_saved,gk_pens_missed,minutes_90s,gk_free_kick_goals_against,gk_corner_kick_goals_against,gk_own_goals_against,gk_psxg,gk_psnpxg_per_shot_on_target_against,gk_psxg_net,gk_psxg_net_per90,gk_passes_completed_launched,gk_passes_launched,gk_passes_pct_launched,gk_passes,gk_passes_throws,gk_pct_passes_launched,gk_passes_length_avg,gk_goal_kicks,gk_pct_goal_kicks_launched,gk_goal_kick_length_avg,gk_crosses,gk_crosses_stopped,gk_crosses_stopped_pct,gk_def_actions_outside_pen_area,gk_def_actions_outside_pen_area_per90,gk_avg_distance_def_actions
-Etrit Berisha,al ALB,GK,Empoli,34-183,1989,1.0,1.0,90.0,2.0,2.0,5.0,2.0,60.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,1.8,0.18,-0.2,-0.16,2.0,12.0,16.7,32.0,8.0,31.3,29.7,7.0,28.6,28.0,17.0,0.0,0.0,2.0,2.0,16.6
-Elia Caprile,it ITA,GK,Empoli,22-015,2001,1.0,1.0,90.0,1.0,1.0,4.0,3.0,75.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.4,0.11,-0.6,-0.57,4.0,20.0,20.0,37.0,9.0,48.6,42.6,4.0,50.0,50.3,10.0,2.0,20.0,2.0,2.0,12.4
-Michele Cerofolini,it ITA,GK,Frosinone,24-248,1999,1.0,1.0,90.0,1.0,1.0,6.0,5.0,83.3,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.16,0.0,-0.04,2.0,18.0,11.1,27.0,2.0,55.6,38.3,5.0,60.0,45.8,18.0,0.0,0.0,0.0,0.0,0.0
-Oliver Christensen,dk DEN,GK,Fiorentina,24-171,1999,2.0,2.0,180.0,6.0,3.0,13.0,7.0,61.5,0.0,1.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,3.2,0.18,-2.8,-1.38,14.0,31.0,45.2,78.0,7.0,33.3,33.2,8.0,62.5,49.4,15.0,0.0,0.0,3.0,1.5,22.0
-Andrea Consigli,it ITA,GK,Sassuolo,36-225,1987,3.0,3.0,270.0,5.0,1.67,12.0,7.0,66.7,1.0,0.0,2.0,0.0,0.0,2.0,1.0,0.0,1.0,3.0,0.0,1.0,0.0,3.3,0.19,-1.7,-0.58,11.0,46.0,23.9,95.0,10.0,38.9,37.1,34.0,26.5,28.1,46.0,2.0,4.3,3.0,1.0,14.5
-Michele Di Gregorio,it ITA,GK,Monza,26-044,1997,3.0,3.0,270.0,5.0,1.67,17.0,12.0,70.6,1.0,0.0,2.0,1.0,33.3,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0,4.2,0.25,-0.8,-0.25,7.0,32.0,21.9,111.0,16.0,20.7,28.7,22.0,40.9,40.3,45.0,2.0,4.4,2.0,0.67,11.7
-Wladimiro Falcone,it ITA,GK,Lecce,28-150,1995,3.0,3.0,270.0,3.0,1.0,12.0,9.0,75.0,2.0,1.0,0.0,1.0,33.3,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0,3.0,0.25,0.0,0.0,17.0,43.0,39.5,57.0,14.0,49.1,35.0,24.0,62.5,42.3,32.0,2.0,6.3,1.0,0.33,9.0
-Mike Maignan,fr FRA,GK,Milan,28-068,1995,3.0,3.0,270.0,2.0,0.67,8.0,6.0,75.0,3.0,0.0,0.0,1.0,33.3,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.6,0.08,-1.4,-0.45,20.0,57.0,35.1,170.0,23.0,25.9,30.5,20.0,65.0,49.3,43.0,12.0,27.9,3.0,1.0,10.3
-Josep Martinez,es ESP,GK,Genoa,25-105,1998,3.0,3.0,270.0,5.0,1.67,10.0,5.0,50.0,1.0,0.0,2.0,1.0,33.3,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0,2.6,0.27,-2.4,-0.8,27.0,55.0,49.1,94.0,9.0,44.7,40.1,14.0,92.9,62.2,64.0,8.0,12.5,2.0,0.67,9.7
-Alex Meret,it ITA,GK,Napoli,26-171,1997,3.0,3.0,270.0,3.0,1.0,4.0,1.0,50.0,2.0,0.0,1.0,1.0,33.3,1.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,2.2,0.31,-0.8,-0.26,3.0,10.0,30.0,78.0,7.0,12.8,24.4,8.0,0.0,21.4,15.0,1.0,6.7,5.0,1.67,18.1
-Vanja Milinković-Savić,rs SRB,GK,Torino,26-201,1997,3.0,3.0,270.0,4.0,1.33,11.0,7.0,81.8,1.0,1.0,1.0,2.0,66.7,2.0,2.0,0.0,0.0,3.0,0.0,0.0,0.0,3.9,0.17,-0.1,-0.03,15.0,47.0,31.9,85.0,19.0,31.8,34.1,29.0,69.0,58.9,23.0,0.0,0.0,1.0,0.33,14.2
-Lorenzo Montipò,it ITA,GK,Hellas Verona,27-201,1996,3.0,3.0,270.0,4.0,1.33,18.0,14.0,83.3,2.0,0.0,1.0,1.0,33.3,1.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,4.3,0.2,0.3,0.09,27.0,72.0,37.5,84.0,7.0,57.1,43.0,28.0,85.7,61.0,44.0,1.0,2.3,8.0,2.67,20.9
-Juan Musso,ar ARG,GK,Atalanta,29-126,1994,3.0,3.0,270.0,2.0,0.67,10.0,8.0,80.0,2.0,0.0,1.0,2.0,66.7,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0,2.1,0.21,0.1,0.04,11.0,34.0,32.4,88.0,18.0,27.3,29.3,18.0,55.6,46.1,28.0,2.0,7.1,8.0,2.67,22.0
-Guillermo Ochoa,mx MEX,GK,Salernitana,38-058,1985,3.0,3.0,270.0,5.0,1.67,15.0,10.0,73.3,0.0,2.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,3.0,0.0,1.0,0.0,3.7,0.19,-1.3,-0.43,13.0,52.0,25.0,70.0,12.0,47.1,38.7,31.0,61.3,46.3,51.0,3.0,5.9,1.0,0.33,8.3
-Rui Patrício,pt POR,GK,Roma,35-206,1988,3.0,3.0,270.0,6.0,2.0,9.0,3.0,44.4,0.0,1.0,2.0,0.0,0.0,1.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,3.6,0.3,-2.4,-0.78,6.0,13.0,46.2,47.0,6.0,23.4,29.7,12.0,16.7,24.5,15.0,0.0,0.0,2.0,0.67,16.2
-Mattia Perin,it ITA,GK,Juventus,30-303,1992,2.0,2.0,180.0,1.0,0.5,4.0,3.0,75.0,1.0,1.0,0.0,1.0,50.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,1.2,0.3,0.2,0.09,5.0,13.0,38.5,42.0,9.0,28.6,29.1,11.0,9.1,18.9,26.0,2.0,7.7,2.0,1.0,15.0
-Samuele Perisan,it ITA,GK,Empoli,26-019,1997,1.0,1.0,90.0,2.0,2.0,5.0,3.0,60.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.7,0.14,-1.3,-1.32,1.0,8.0,12.5,22.0,8.0,27.3,26.3,12.0,16.7,29.6,18.0,0.0,0.0,1.0,1.0,21.0
-Ivan Provedel,it ITA,GK,Lazio,29-176,1994,3.0,3.0,270.0,4.0,1.33,14.0,10.0,71.4,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,2.5,0.18,-1.5,-0.49,6.0,16.0,37.5,89.0,11.0,14.6,26.1,11.0,27.3,31.6,39.0,2.0,5.1,6.0,2.0,16.3
-Boris Radunović,rs SRB,GK,Cagliari,27-106,1996,3.0,3.0,270.0,4.0,1.33,12.0,8.0,66.7,0.0,1.0,2.0,1.0,33.3,1.0,0.0,0.0,1.0,3.0,0.0,0.0,0.0,4.0,0.34,0.0,-0.01,16.0,41.0,39.0,53.0,14.0,39.6,39.4,28.0,71.4,52.8,49.0,2.0,4.1,2.0,0.67,11.9
-Marco Silvestri,it ITA,GK,Udinese,32-191,1991,3.0,3.0,270.0,4.0,1.33,9.0,5.0,66.7,0.0,2.0,1.0,1.0,33.3,1.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,3.8,0.31,-0.2,-0.08,11.0,31.0,35.5,70.0,10.0,32.9,31.4,21.0,38.1,39.5,33.0,0.0,0.0,2.0,0.67,13.4
-Łukasz Skorupski,pl POL,GK,Bologna,32-127,1991,3.0,3.0,270.0,4.0,1.33,9.0,5.0,55.6,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,3.0,0.33,-1.0,-0.34,11.0,31.0,35.5,63.0,14.0,38.1,33.0,19.0,36.8,37.0,45.0,2.0,4.4,2.0,0.67,11.3
-Yann Sommer,ch SUI,GK,Inter,34-266,1988,3.0,3.0,270.0,0.0,0.0,6.0,6.0,100.0,3.0,0.0,0.0,3.0,100.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,1.2,0.21,1.2,0.41,19.0,32.0,59.4,81.0,12.0,33.3,31.4,21.0,23.8,31.0,35.0,1.0,2.9,0.0,0.0,6.8
-Wojciech Szczęsny,pl POL,GK,Juventus,33-144,1990,1.0,1.0,90.0,0.0,0.0,5.0,5.0,100.0,1.0,0.0,0.0,1.0,100.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.4,0.3,1.4,1.39,5.0,14.0,35.7,34.0,6.0,35.3,31.6,3.0,66.7,53.3,16.0,1.0,6.3,0.0,0.0,10.8
-Pietro Terracciano,it ITA,GK,Fiorentina,33-185,1990,1.0,1.0,90.0,1.0,1.0,2.0,1.0,50.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.3,0.13,-0.7,-0.74,3.0,5.0,60.0,47.0,3.0,10.6,30.0,4.0,0.0,23.3,11.0,0.0,0.0,0.0,0.0,13.3
-Stefano Turati,it ITA,GK,Frosinone,22-004,2001,2.0,2.0,180.0,3.0,1.5,14.0,11.0,78.6,0.0,1.0,1.0,1.0,50.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,3.6,0.26,0.6,0.31,5.0,19.0,26.3,61.0,17.0,23.0,27.1,10.0,50.0,40.7,25.0,2.0,8.0,2.0,1.0,11.8
+Etrit Berisha,al ALB,GK,Empoli,34-195,1989,2.0,2.0,180.0,9.0,4.5,14.0,5.0,42.9,0.0,0.0,2.0,0.0,0.0,2.0,1.0,1.0,0.0,2.0,0.0,2.0,1.0,5.9,0.28,-2.1,-1.06,3.0,14.0,21.4,54.0,13.0,22.2,27.5,9.0,22.2,27.0,23.0,1.0,4.3,2.0,1.0,15.7
+Elia Caprile,it ITA,GK,Empoli,22-027,2001,1.0,1.0,90.0,1.0,1.0,4.0,3.0,75.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.4,0.11,-0.6,-0.57,4.0,20.0,20.0,37.0,9.0,48.6,42.6,4.0,50.0,50.3,10.0,2.0,20.0,2.0,2.0,12.4
+Marco Carnesecchi,it ITA,GK,Atalanta,23-082,2000,1.0,1.0,90.0,3.0,3.0,8.0,5.0,62.5,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.9,0.24,-1.1,-1.06,3.0,15.0,20.0,28.0,6.0,35.7,36.8,6.0,83.3,69.2,13.0,1.0,7.7,0.0,0.0,14.5
+Michele Cerofolini,it ITA,GK,Frosinone,24-260,1999,1.0,1.0,90.0,1.0,1.0,6.0,5.0,83.3,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.16,0.0,-0.04,2.0,18.0,11.1,27.0,2.0,55.6,38.3,5.0,60.0,45.8,18.0,0.0,0.0,0.0,0.0,0.0
+Oliver Christensen,dk DEN,GK,Fiorentina,24-183,1999,2.0,2.0,180.0,6.0,3.0,13.0,7.0,61.5,0.0,1.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,3.2,0.18,-2.8,-1.38,14.0,31.0,45.2,78.0,7.0,33.3,33.2,8.0,62.5,49.4,15.0,0.0,0.0,3.0,1.5,22.0
+Andrea Consigli,it ITA,GK,Sassuolo,36-237,1987,3.0,3.0,270.0,5.0,1.67,12.0,7.0,66.7,1.0,0.0,2.0,0.0,0.0,2.0,1.0,0.0,1.0,3.0,0.0,1.0,0.0,3.3,0.19,-1.7,-0.58,11.0,46.0,23.9,95.0,10.0,38.9,37.1,34.0,26.5,28.1,46.0,2.0,4.3,3.0,1.0,14.5
+Alessio Cragno,it ITA,GK,Sassuolo,29-085,1994,1.0,1.0,90.0,4.0,4.0,6.0,2.0,50.0,0.0,0.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,2.8,0.3,-1.2,-1.21,5.0,15.0,33.3,24.0,3.0,50.0,37.1,9.0,33.3,34.6,9.0,0.0,0.0,7.0,7.0,28.9
+Michele Di Gregorio,it ITA,GK,Monza,26-056,1997,3.0,3.0,270.0,5.0,1.67,17.0,12.0,70.6,1.0,0.0,2.0,1.0,33.3,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0,4.2,0.25,-0.8,-0.25,7.0,32.0,21.9,111.0,16.0,20.7,28.7,22.0,40.9,40.3,45.0,2.0,4.4,2.0,0.67,11.7
+Wladimiro Falcone,it ITA,GK,Lecce,28-162,1995,4.0,4.0,360.0,4.0,1.0,17.0,13.0,76.5,2.0,2.0,0.0,1.0,25.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,0.0,4.6,0.27,0.6,0.15,20.0,52.0,38.5,78.0,18.0,38.5,31.0,42.0,52.4,38.7,54.0,2.0,3.7,2.0,0.5,10.3
+Mike Maignan,fr FRA,GK,Milan,28-080,1995,4.0,4.0,360.0,7.0,1.75,15.0,8.0,60.0,3.0,0.0,1.0,1.0,25.0,1.0,1.0,0.0,0.0,4.0,0.0,0.0,0.0,4.5,0.24,-2.5,-0.64,21.0,58.0,36.2,198.0,26.0,22.2,29.2,23.0,60.9,47.0,52.0,12.0,23.1,3.0,0.75,9.8
+Josep Martinez,es ESP,GK,Genoa,25-117,1998,4.0,4.0,360.0,7.0,1.75,14.0,7.0,50.0,1.0,1.0,2.0,1.0,25.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,0.0,3.7,0.27,-3.3,-0.82,38.0,78.0,48.7,125.0,10.0,45.6,39.7,22.0,95.5,62.5,75.0,8.0,10.7,2.0,0.5,9.3
+Alex Meret,it ITA,GK,Napoli,26-183,1997,4.0,4.0,360.0,5.0,1.25,7.0,2.0,42.9,2.0,1.0,1.0,1.0,25.0,1.0,1.0,0.0,0.0,4.0,0.0,2.0,0.0,3.4,0.37,-1.6,-0.4,3.0,12.0,25.0,86.0,8.0,14.0,24.7,11.0,0.0,20.4,27.0,1.0,3.7,7.0,1.75,18.2
+Vanja Milinković-Savić,rs SRB,GK,Torino,26-213,1997,4.0,4.0,360.0,4.0,1.0,15.0,11.0,86.7,2.0,1.0,1.0,3.0,75.0,2.0,2.0,0.0,0.0,4.0,0.0,0.0,0.0,4.6,0.18,0.6,0.16,29.0,79.0,36.7,117.0,23.0,44.4,38.1,36.0,75.0,61.3,33.0,3.0,9.1,5.0,1.25,15.8
+Lorenzo Montipò,it ITA,GK,Hellas Verona,27-213,1996,4.0,4.0,360.0,4.0,1.0,22.0,18.0,86.4,2.0,1.0,1.0,2.0,50.0,1.0,1.0,0.0,0.0,4.0,0.0,0.0,0.0,4.9,0.19,0.9,0.22,35.0,93.0,37.6,109.0,8.0,56.9,42.9,35.0,88.6,62.7,54.0,1.0,1.9,8.0,2.0,19.4
+Juan Musso,ar ARG,GK,Atalanta,29-138,1994,3.0,3.0,270.0,2.0,0.67,10.0,8.0,80.0,2.0,0.0,1.0,2.0,66.7,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0,2.1,0.21,0.1,0.04,11.0,34.0,32.4,88.0,18.0,27.3,29.3,18.0,55.6,46.1,28.0,2.0,7.1,8.0,2.67,22.0
+Guillermo Ochoa,mx MEX,GK,Salernitana,38-070,1985,4.0,4.0,360.0,8.0,2.0,18.0,10.0,61.1,0.0,2.0,2.0,0.0,0.0,1.0,1.0,0.0,0.0,4.0,0.0,2.0,0.0,4.7,0.21,-3.3,-0.82,13.0,55.0,23.6,89.0,14.0,40.4,35.9,35.0,54.3,43.6,63.0,4.0,6.3,1.0,0.25,7.8
+Rui Patrício,pt POR,GK,Roma,35-218,1988,4.0,4.0,360.0,6.0,1.5,11.0,5.0,54.5,1.0,1.0,2.0,1.0,25.0,1.0,1.0,0.0,0.0,4.0,0.0,0.0,0.0,4.0,0.28,-2.0,-0.5,10.0,18.0,55.6,76.0,9.0,21.1,29.3,17.0,11.8,22.1,34.0,2.0,5.9,2.0,0.5,12.2
+Mattia Perin,it ITA,GK,Juventus,30-315,1992,2.0,2.0,180.0,1.0,0.5,4.0,3.0,75.0,1.0,1.0,0.0,1.0,50.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,1.2,0.3,0.2,0.09,5.0,13.0,38.5,42.0,9.0,28.6,29.1,11.0,9.1,18.9,26.0,2.0,7.7,2.0,1.0,15.0
+Samuele Perisan,it ITA,GK,Empoli,26-031,1997,1.0,1.0,90.0,2.0,2.0,5.0,3.0,60.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.7,0.14,-1.3,-1.32,1.0,8.0,12.5,22.0,8.0,27.3,26.3,12.0,16.7,29.6,18.0,0.0,0.0,1.0,1.0,21.0
+Ivan Provedel,it ITA,GK,Lazio,29-188,1994,4.0,4.0,360.0,7.0,1.75,21.0,14.0,66.7,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,3.7,0.18,-3.3,-0.83,6.0,16.0,37.5,119.0,14.0,10.9,26.4,15.0,20.0,27.9,48.0,2.0,4.2,6.0,1.5,15.7
+Boris Radunović,rs SRB,GK,Cagliari,27-118,1996,4.0,4.0,360.0,4.0,1.0,13.0,9.0,69.2,0.0,2.0,2.0,2.0,50.0,1.0,0.0,0.0,1.0,4.0,0.0,0.0,0.0,4.1,0.33,0.1,0.03,24.0,54.0,44.4,76.0,18.0,36.8,37.8,40.0,65.0,50.0,62.0,4.0,6.5,3.0,0.75,12.5
+Marco Silvestri,it ITA,GK,Udinese,32-203,1991,4.0,4.0,360.0,4.0,1.0,10.0,6.0,70.0,0.0,3.0,1.0,2.0,50.0,1.0,1.0,0.0,0.0,4.0,0.0,0.0,0.0,3.9,0.29,-0.1,-0.02,11.0,34.0,32.4,94.0,14.0,25.5,29.7,32.0,31.3,35.4,49.0,0.0,0.0,3.0,0.75,14.0
+Łukasz Skorupski,pl POL,GK,Bologna,32-139,1991,4.0,4.0,360.0,4.0,1.0,10.0,6.0,60.0,1.0,2.0,1.0,1.0,25.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,3.2,0.32,-0.8,-0.21,17.0,45.0,37.8,106.0,17.0,35.8,32.1,22.0,31.8,34.2,57.0,2.0,3.5,2.0,0.5,11.5
+Yann Sommer,ch SUI,GK,Inter,34-278,1988,4.0,4.0,360.0,1.0,0.25,8.0,7.0,87.5,4.0,0.0,0.0,3.0,75.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,1.6,0.2,0.6,0.16,24.0,41.0,58.5,112.0,19.0,31.3,30.8,29.0,20.7,28.3,41.0,2.0,4.9,0.0,0.0,6.5
+Alessandro Sorrentino,it ITA,GK,Monza,21-171,2002,1.0,1.0,90.0,1.0,1.0,3.0,2.0,100.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,1.6,0.22,0.6,0.65,1.0,2.0,50.0,25.0,8.0,8.0,21.0,2.0,0.0,23.0,8.0,1.0,12.5,0.0,0.0,9.0
+Wojciech Szczęsny,pl POL,GK,Juventus,33-156,1990,2.0,2.0,180.0,1.0,0.5,10.0,9.0,90.0,2.0,0.0,0.0,1.0,50.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,2.3,0.24,1.3,0.67,13.0,28.0,46.4,60.0,10.0,40.0,33.1,6.0,66.7,52.0,33.0,1.0,3.0,0.0,0.0,9.6
+Pietro Terracciano,it ITA,GK,Fiorentina,33-197,1990,2.0,2.0,180.0,3.0,1.5,6.0,3.0,50.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0,1.0,0.17,-2.0,-0.98,13.0,20.0,65.0,85.0,10.0,22.4,33.1,9.0,11.1,25.0,16.0,1.0,6.3,1.0,0.5,13.7
+Stefano Turati,it ITA,GK,Frosinone,22-016,2001,3.0,3.0,270.0,5.0,1.67,21.0,16.0,76.2,1.0,1.0,1.0,1.0,33.3,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,5.5,0.26,0.5,0.16,7.0,29.0,24.1,96.0,23.0,22.9,26.0,13.0,53.8,41.7,33.0,2.0,6.1,3.0,1.0,16.3
diff --git a/fbref_data/outfield_players.csv b/fbref_data/outfield_players.csv
index c3eaf98..97b92ca 100644
--- a/fbref_data/outfield_players.csv
+++ b/fbref_data/outfield_players.csv
@@ -1,400 +1,430 @@
player,nationality,position,team,age,birth_year,games,games_starts,minutes,goals,assists,pens_made,pens_att,cards_yellow,cards_red,goals_per90,assists_per90,goals_assists_per90,goals_pens_per90,goals_assists_pens_per90,xg,npxg,xg_per90,npxg_per90,minutes_90s,shots_on_target,shots_free_kicks,shots_on_target_pct,shots_on_target_per90,goals_per_shot,goals_per_shot_on_target,npxg_per_shot,xg_net,npxg_net,passes_completed,passes,passes_pct,passes_total_distance,passes_progressive_distance,passes_completed_short,passes_short,passes_pct_short,passes_completed_medium,passes_medium,passes_pct_medium,passes_completed_long,passes_long,passes_pct_long,assisted_shots,passes_into_final_third,passes_into_penalty_area,crosses_into_penalty_area,progressive_passes,passes_live,passes_dead,passes_free_kicks,through_balls,passes_switches,crosses,corner_kicks,corner_kicks_in,corner_kicks_out,corner_kicks_straight,throw_ins,passes_offsides,passes_blocked,sca,sca_per90,sca_passes_live,sca_passes_dead,sca_shots,sca_fouled,gca,gca_per90,gca_passes_live,gca_passes_dead,gca_shots,gca_fouled,gca_defense,tackles,tackles_won,tackles_def_3rd,tackles_mid_3rd,tackles_att_3rd,blocks,blocked_shots,blocked_passes,interceptions,clearances,errors,touches,touches_def_pen_area,touches_def_3rd,touches_mid_3rd,touches_att_3rd,touches_att_pen_area,touches_live_ball,carries,progressive_carries,carries_into_final_third,carries_into_penalty_area,passes_received,miscontrols,dispossessed,cards_yellow_red,fouls,fouled,offsides,pens_won,pens_conceded,own_goals,ball_recoveries,aerials_won,aerials_lost,aerials_won_pct
-Michel Aebischer,ch SUI,MF,Bologna,26-246,1997,3.0,3.0,257.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,2.9,1.0,0.0,50.0,0.35,0.0,0.0,0.05,-0.1,-0.1,183.0,191.0,95.8,2948.0,785.0,96.0,100.0,96.0,72.0,74.0,97.3,12.0,14.0,85.7,2.0,17.0,1.0,1.0,18.0,183.0,8.0,5.0,0.0,1.0,2.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,6.0,2.1,5.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,3.0,1.0,2.0,1.0,1.0,0.0,205.0,5.0,48.0,126.0,33.0,2.0,205.0,121.0,7.0,4.0,1.0,167.0,2.0,0.0,0.0,4.0,3.0,0.0,0.0,0.0,0.0,19.0,2.0,1.0,66.7
-Luis Alberto,es ESP,MF,Lazio,30-346,1992,3.0,3.0,270.0,1.0,1.0,0.0,0.0,1.0,0.0,0.33,0.33,0.67,0.33,0.67,0.5,0.5,0.16,0.16,3.0,3.0,1.0,60.0,1.0,0.2,0.33,0.1,0.5,0.5,182.0,230.0,79.1,2841.0,901.0,102.0,110.0,92.7,59.0,68.0,86.8,14.0,37.0,37.8,3.0,26.0,6.0,0.0,34.0,198.0,29.0,11.0,1.0,2.0,20.0,15.0,7.0,8.0,0.0,1.0,3.0,3.0,11.0,3.67,9.0,2.0,0.0,0.0,1.0,0.33,1.0,0.0,0.0,0.0,0.0,5.0,1.0,4.0,1.0,0.0,3.0,1.0,2.0,0.0,1.0,0.0,259.0,4.0,29.0,146.0,89.0,6.0,259.0,166.0,15.0,9.0,1.0,197.0,5.0,5.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,18.0,2.0,3.0,40.0
-Pontus Almqvist,se SWE,FW,Lecce,24-061,1999,3.0,3.0,270.0,1.0,0.0,0.0,0.0,0.0,0.0,0.33,0.0,0.33,0.33,0.33,0.2,0.2,0.07,0.07,3.0,3.0,0.0,60.0,1.0,0.2,0.33,0.04,0.8,0.8,64.0,80.0,80.0,874.0,166.0,44.0,53.0,83.0,12.0,17.0,70.6,5.0,5.0,100.0,2.0,3.0,2.0,0.0,5.0,79.0,1.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,9.0,3.0,8.0,0.0,1.0,0.0,3.0,1.0,3.0,0.0,0.0,0.0,0.0,7.0,6.0,2.0,4.0,1.0,4.0,0.0,4.0,2.0,1.0,0.0,123.0,2.0,13.0,57.0,54.0,10.0,123.0,80.0,14.0,6.0,4.0,92.0,6.0,7.0,0.0,2.0,3.0,1.0,0.0,0.0,0.0,10.0,0.0,2.0,0.0
-Lorenzo Amatucci,it ITA,MF,Fiorentina,19-216,2004,1.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,17.0,88.2,304.0,47.0,4.0,4.0,100.0,10.0,10.0,100.0,1.0,1.0,100.0,0.0,1.0,0.0,0.0,1.0,17.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,0.0,1.0,12.0,4.0,0.0,17.0,12.0,1.0,0.0,0.0,13.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0
-Bruno Amione,ar ARG,MF,Hellas Verona,21-249,2002,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,100.0,35.0,9.0,1.0,1.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,5.0,0.0,3.0,2.0,0.0,0.0,5.0,2.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Felipe Anderson,br BRA,FW,Lazio,30-147,1993,3.0,3.0,197.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.91,0.91,0.0,0.91,0.5,0.5,0.23,0.23,2.2,0.0,0.0,0.0,0.0,0.0,0.0,0.26,-0.5,-0.5,92.0,120.0,76.7,1432.0,324.0,47.0,55.0,85.5,35.0,44.0,79.5,7.0,14.0,50.0,3.0,7.0,4.0,0.0,13.0,120.0,0.0,0.0,1.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,8.0,3.64,5.0,0.0,0.0,0.0,3.0,1.36,2.0,0.0,0.0,0.0,1.0,6.0,3.0,3.0,2.0,1.0,5.0,0.0,5.0,3.0,2.0,0.0,147.0,1.0,18.0,66.0,64.0,6.0,147.0,96.0,12.0,6.0,3.0,118.0,2.0,0.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,7.0,0.0,3.0,0.0
-Houssem Aouar,dz ALG,MF,Roma,25-071,1998,3.0,2.0,164.0,1.0,0.0,0.0,0.0,1.0,0.0,0.55,0.0,0.55,0.55,0.55,0.5,0.5,0.29,0.29,1.8,1.0,0.0,50.0,0.55,0.5,1.0,0.26,0.5,0.5,57.0,74.0,77.0,932.0,248.0,30.0,34.0,88.2,22.0,27.0,81.5,5.0,7.0,71.4,3.0,6.0,0.0,0.0,3.0,65.0,9.0,2.0,0.0,0.0,5.0,5.0,4.0,1.0,0.0,2.0,0.0,3.0,4.0,2.2,1.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,1.0,3.0,0.0,2.0,0.0,2.0,2.0,0.0,0.0,88.0,0.0,9.0,50.0,30.0,4.0,88.0,48.0,2.0,2.0,1.0,53.0,3.0,2.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,15.0,4.0,3.0,57.1
-Marko Arnautović,at AUT,FW,Inter,34-143,1989,3.0,0.0,59.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.53,1.53,0.0,1.53,0.1,0.1,0.1,0.1,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,18.0,23.0,78.3,226.0,27.0,11.0,15.0,73.3,6.0,6.0,100.0,0.0,0.0,0.0,2.0,2.0,0.0,0.0,2.0,23.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,4.58,3.0,0.0,0.0,0.0,1.0,1.53,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,30.0,1.0,3.0,13.0,14.0,5.0,30.0,18.0,2.0,0.0,2.0,19.0,1.0,2.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,4.0,0.0,1.0,0.0
-Kristjan Asllani,al ALB,MF,Inter,21-184,2002,1.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,100.0,64.0,0.0,2.0,2.0,100.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,3.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Tommaso Augello,it ITA,DF,Cagliari,29-010,1994,2.0,2.0,160.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,1.8,1.0,0.0,100.0,0.56,0.0,0.0,0.02,0.0,0.0,55.0,83.0,66.3,879.0,412.0,33.0,34.0,97.1,18.0,26.0,69.2,4.0,18.0,22.2,1.0,7.0,1.0,1.0,7.0,68.0,15.0,4.0,0.0,0.0,9.0,2.0,0.0,2.0,0.0,9.0,0.0,2.0,4.0,2.25,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,0.0,92.0,6.0,31.0,40.0,21.0,0.0,92.0,43.0,6.0,1.0,0.0,53.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,9.0,3.0,1.0,75.0
-Yann Aurel Bisseck,de GER,DF,Inter,22-284,2000,1.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,100.0,42.0,6.0,1.0,1.0,100.0,0.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,2.0,1.0,1.0,3.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Paulo Azzi,br BRA,"MF,DF",Cagliari,29-056,1994,3.0,1.0,141.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.17,0.17,1.6,1.0,0.0,33.3,0.64,0.0,0.0,0.09,-0.3,-0.3,42.0,69.0,60.9,743.0,279.0,21.0,27.0,77.8,18.0,26.0,69.2,3.0,13.0,23.1,2.0,6.0,1.0,0.0,7.0,58.0,11.0,2.0,0.0,1.0,6.0,0.0,0.0,0.0,0.0,9.0,0.0,1.0,2.0,1.28,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,2.0,0.0,1.0,1.0,0.0,1.0,3.0,0.0,86.0,4.0,27.0,34.0,27.0,2.0,86.0,45.0,5.0,6.0,1.0,47.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,1.0,2.0,33.3
-Oussama El Azzouzi,ma MAR,MF,Bologna,22-103,2001,3.0,0.0,32.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,32.0,36.0,88.9,461.0,62.0,19.0,19.0,100.0,12.0,14.0,85.7,1.0,3.0,33.3,1.0,3.0,0.0,0.0,0.0,35.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,5.63,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,40.0,2.0,9.0,24.0,7.0,1.0,40.0,18.0,0.0,0.0,0.0,26.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0
-Milan Badelj,hr CRO,MF,Genoa,34-196,1989,3.0,3.0,234.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,77.0,98.0,78.6,1313.0,410.0,28.0,30.0,93.3,41.0,48.0,85.4,5.0,16.0,31.3,0.0,7.0,0.0,0.0,6.0,92.0,6.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,0.77,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,4.0,1.0,0.0,3.0,0.0,3.0,8.0,6.0,0.0,125.0,12.0,50.0,69.0,8.0,0.0,125.0,55.0,0.0,3.0,0.0,74.0,2.0,3.0,0.0,3.0,3.0,0.0,0.0,0.0,0.0,17.0,0.0,3.0,0.0
-Jaime Báez,uy URU,FW,Frosinone,28-137,1995,3.0,2.0,160.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.08,0.08,1.8,1.0,1.0,20.0,0.56,0.0,0.0,0.03,-0.1,-0.1,43.0,61.0,70.5,666.0,303.0,23.0,28.0,82.1,15.0,18.0,83.3,4.0,12.0,33.3,1.0,5.0,4.0,0.0,11.0,58.0,3.0,1.0,0.0,0.0,6.0,2.0,0.0,2.0,0.0,0.0,0.0,1.0,3.0,1.69,2.0,0.0,0.0,1.0,1.0,0.56,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,3.0,3.0,0.0,0.0,77.0,4.0,14.0,32.0,33.0,5.0,77.0,38.0,3.0,1.0,1.0,49.0,1.0,4.0,0.0,3.0,5.0,1.0,1.0,0.0,0.0,15.0,2.0,3.0,40.0
-Nedim Bajrami,al ALB,"MF,FW",Sassuolo,24-193,1999,3.0,2.0,162.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.12,0.12,1.8,1.0,0.0,33.3,0.56,0.0,0.0,0.07,-0.2,-0.2,48.0,68.0,70.6,641.0,129.0,32.0,38.0,84.2,13.0,20.0,65.0,2.0,7.0,28.6,2.0,2.0,1.0,0.0,4.0,59.0,9.0,1.0,2.0,0.0,11.0,7.0,2.0,5.0,0.0,1.0,0.0,2.0,6.0,3.33,4.0,1.0,0.0,0.0,1.0,0.56,1.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,81.0,2.0,9.0,34.0,42.0,5.0,81.0,50.0,7.0,3.0,2.0,59.0,4.0,2.0,0.0,3.0,1.0,1.0,0.0,0.0,0.0,7.0,0.0,3.0,0.0
-Mitchel Bakker,nl NED,DF,Atalanta,23-081,2000,2.0,0.0,26.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,29.0,72.4,261.0,67.0,14.0,17.0,82.4,6.0,6.0,100.0,0.0,3.0,0.0,1.0,1.0,0.0,0.0,1.0,25.0,4.0,0.0,0.0,0.0,3.0,1.0,0.0,1.0,0.0,3.0,0.0,1.0,1.0,3.46,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,32.0,1.0,6.0,16.0,11.0,2.0,32.0,23.0,3.0,2.0,1.0,23.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,4.0,1.0,0.0,100.0
-Tommaso Baldanzi,it ITA,"MF,FW",Empoli,20-170,2003,3.0,3.0,240.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,2.7,1.0,0.0,33.3,0.37,0.0,0.0,0.02,-0.1,-0.1,57.0,69.0,82.6,845.0,201.0,30.0,32.0,93.8,20.0,23.0,87.0,2.0,5.0,40.0,5.0,3.0,3.0,1.0,7.0,58.0,10.0,2.0,0.0,0.0,3.0,2.0,0.0,0.0,0.0,3.0,1.0,1.0,11.0,4.12,7.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,90.0,0.0,9.0,40.0,45.0,9.0,90.0,55.0,8.0,6.0,5.0,65.0,4.0,1.0,0.0,1.0,7.0,0.0,0.0,0.0,0.0,9.0,0.0,1.0,0.0
-Lameck Banda,zm ZAM,FW,Lecce,22-223,2001,3.0,3.0,235.0,0.0,2.0,0.0,0.0,1.0,0.0,0.0,0.77,0.77,0.0,0.77,0.2,0.2,0.08,0.08,2.6,3.0,0.0,50.0,1.15,0.0,0.0,0.04,-0.2,-0.2,48.0,61.0,78.7,705.0,117.0,27.0,32.0,84.4,15.0,19.0,78.9,2.0,6.0,33.3,9.0,1.0,3.0,2.0,4.0,58.0,3.0,1.0,1.0,0.0,6.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,12.0,4.6,8.0,0.0,2.0,0.0,1.0,0.38,1.0,0.0,0.0,0.0,0.0,6.0,6.0,3.0,2.0,1.0,3.0,0.0,3.0,1.0,2.0,0.0,101.0,1.0,12.0,39.0,53.0,13.0,101.0,74.0,11.0,4.0,7.0,70.0,8.0,4.0,0.0,7.0,7.0,1.0,0.0,0.0,0.0,15.0,0.0,1.0,0.0
-Mattia Bani,it ITA,DF,Genoa,29-273,1993,3.0,3.0,270.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,78.0,102.0,76.5,1682.0,783.0,20.0,24.0,83.3,47.0,54.0,87.0,11.0,22.0,50.0,0.0,6.0,0.0,0.0,5.0,100.0,2.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,2.0,0.0,6.0,4.0,2.0,3.0,20.0,0.0,142.0,30.0,106.0,37.0,0.0,0.0,142.0,64.0,1.0,0.0,0.0,75.0,1.0,0.0,0.0,1.0,2.0,1.0,0.0,0.0,0.0,14.0,7.0,3.0,70.0
-Nicolò Barella,it ITA,MF,Inter,26-214,1997,3.0,3.0,218.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.06,0.06,2.4,1.0,0.0,25.0,0.41,0.0,0.0,0.03,-0.1,-0.1,142.0,165.0,86.1,2515.0,872.0,68.0,75.0,90.7,52.0,60.0,86.7,16.0,24.0,66.7,5.0,24.0,11.0,2.0,32.0,160.0,5.0,3.0,2.0,5.0,3.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,11.0,4.54,11.0,0.0,0.0,0.0,1.0,0.41,1.0,0.0,0.0,0.0,0.0,6.0,2.0,2.0,4.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,183.0,3.0,22.0,112.0,51.0,1.0,183.0,121.0,7.0,6.0,0.0,149.0,0.0,0.0,0.0,1.0,3.0,1.0,0.0,0.0,0.0,11.0,1.0,0.0,100.0
-Enzo Barrenechea,ar ARG,MF,Frosinone,22-110,2001,3.0,2.0,157.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,90.0,104.0,86.5,1527.0,284.0,41.0,43.0,95.3,33.0,38.0,86.8,11.0,16.0,68.8,0.0,5.0,1.0,0.0,8.0,100.0,4.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.72,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,5.0,0.0,4.0,1.0,2.0,0.0,2.0,4.0,3.0,0.0,123.0,4.0,29.0,81.0,13.0,0.0,123.0,63.0,1.0,1.0,0.0,82.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0
-Federico Baschirotto,it ITA,DF,Lecce,26-354,1996,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.09,0.09,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.14,-0.3,-0.3,104.0,119.0,87.4,1899.0,574.0,34.0,37.0,91.9,62.0,68.0,91.2,7.0,12.0,58.3,0.0,3.0,0.0,0.0,7.0,109.0,10.0,5.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,3.0,1.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,4.0,3.0,1.0,1.0,8.0,0.0,136.0,23.0,70.0,60.0,6.0,3.0,136.0,83.0,0.0,1.0,0.0,85.0,1.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,13.0,5.0,3.0,62.5
-Alessandro Bastoni,it ITA,DF,Inter,24-149,1999,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,3.0,1.0,0.0,50.0,0.33,0.0,0.0,0.02,0.0,0.0,187.0,212.0,88.2,3621.0,1325.0,76.0,82.0,92.7,76.0,79.0,96.2,28.0,39.0,71.8,5.0,14.0,5.0,2.0,17.0,199.0,13.0,10.0,0.0,6.0,6.0,0.0,0.0,0.0,0.0,3.0,0.0,4.0,11.0,3.67,8.0,1.0,1.0,1.0,1.0,0.33,1.0,0.0,0.0,0.0,0.0,13.0,11.0,11.0,0.0,2.0,3.0,2.0,1.0,3.0,3.0,0.0,242.0,17.0,83.0,116.0,45.0,4.0,242.0,172.0,6.0,7.0,0.0,181.0,1.0,2.0,0.0,4.0,6.0,0.0,0.0,0.0,0.0,14.0,4.0,1.0,80.0
-Raoul Bellanova,it ITA,DF,Torino,23-115,2000,3.0,3.0,229.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,80.0,113.0,70.8,1582.0,423.0,35.0,41.0,85.4,30.0,42.0,71.4,15.0,24.0,62.5,2.0,2.0,2.0,2.0,5.0,88.0,24.0,0.0,0.0,0.0,14.0,0.0,0.0,0.0,0.0,24.0,1.0,4.0,3.0,1.18,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,2.0,0.0,2.0,1.0,1.0,0.0,131.0,5.0,27.0,56.0,49.0,2.0,131.0,82.0,11.0,5.0,1.0,85.0,4.0,1.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,8.0,1.0,4.0,20.0
-Andrea Belotti,it ITA,FW,Roma,29-263,1993,3.0,3.0,270.0,2.0,0.0,0.0,0.0,0.0,0.0,0.67,0.0,0.67,0.67,0.67,1.2,1.2,0.4,0.4,3.0,3.0,0.0,50.0,1.0,0.33,0.67,0.2,0.8,0.8,47.0,59.0,79.7,614.0,44.0,30.0,33.0,90.9,12.0,15.0,80.0,2.0,3.0,66.7,2.0,0.0,0.0,0.0,3.0,51.0,8.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,6.0,2.0,2.0,0.0,1.0,2.0,2.0,0.67,0.0,0.0,1.0,0.0,0.0,2.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,89.0,1.0,2.0,51.0,37.0,17.0,89.0,58.0,4.0,4.0,2.0,75.0,14.0,3.0,0.0,3.0,8.0,3.0,0.0,0.0,0.0,3.0,6.0,6.0,50.0
-Lucas Beltrán,ar ARG,FW,Fiorentina,22-164,2001,3.0,2.0,118.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,27.0,74.1,212.0,40.0,16.0,19.0,84.2,3.0,4.0,75.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,1.0,26.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,4.0,3.05,2.0,0.0,0.0,1.0,1.0,0.76,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,3.0,0.0,3.0,0.0,1.0,0.0,42.0,1.0,1.0,24.0,17.0,3.0,42.0,28.0,0.0,0.0,0.0,32.0,4.0,3.0,0.0,2.0,2.0,1.0,0.0,0.0,0.0,1.0,1.0,6.0,14.3
-Domenico Berardi,it ITA,FW,Sassuolo,29-039,1994,1.0,1.0,77.0,2.0,0.0,1.0,1.0,0.0,0.0,2.34,0.0,2.34,1.17,1.17,0.8,0.1,0.98,0.06,0.9,2.0,0.0,100.0,2.34,0.5,0.5,0.03,1.2,0.9,22.0,30.0,73.3,444.0,153.0,9.0,10.0,90.0,8.0,9.0,88.9,4.0,8.0,50.0,3.0,3.0,2.0,0.0,8.0,27.0,3.0,1.0,1.0,2.0,4.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,7.0,8.18,6.0,0.0,0.0,1.0,1.0,1.17,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,39.0,0.0,0.0,21.0,18.0,5.0,38.0,17.0,4.0,1.0,2.0,31.0,1.0,3.0,0.0,0.0,3.0,0.0,1.0,0.0,0.0,3.0,0.0,3.0,0.0
-Bartosz Bereszyński,pl POL,DF,Empoli,31-059,1992,1.0,1.0,90.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,43.0,52.0,82.7,593.0,141.0,25.0,28.0,89.3,15.0,19.0,78.9,1.0,1.0,100.0,1.0,4.0,1.0,0.0,5.0,44.0,8.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,8.0,0.0,3.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,59.0,6.0,22.0,21.0,16.0,1.0,59.0,34.0,4.0,2.0,1.0,35.0,2.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,6.0,1.0,0.0,100.0
-Etrit Berisha,al ALB,GK,Empoli,34-183,1989,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28.0,39.0,71.8,591.0,335.0,9.0,9.0,100.0,15.0,15.0,100.0,4.0,15.0,26.7,0.0,0.0,0.0,0.0,0.0,26.0,13.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,41.0,41.0,41.0,0.0,0.0,0.0,41.0,24.0,0.0,0.0,0.0,17.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Victor Bernth Kristiansen,dk DEN,DF,Bologna,20-267,2002,1.0,1.0,90.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.03,0.03,1.0,1.0,0.0,100.0,1.0,0.0,0.0,0.03,0.0,0.0,53.0,64.0,82.8,774.0,268.0,34.0,35.0,97.1,17.0,23.0,73.9,2.0,5.0,40.0,3.0,4.0,3.0,1.0,6.0,52.0,12.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,11.0,0.0,0.0,4.0,4.0,3.0,0.0,1.0,0.0,2.0,2.0,1.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,72.0,0.0,16.0,32.0,24.0,1.0,72.0,44.0,1.0,0.0,0.0,49.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Beto,gw GNB,FW,Udinese,25-221,1998,1.0,1.0,74.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,11.0,90.9,128.0,26.0,7.0,8.0,87.5,3.0,3.0,100.0,0.0,0.0,0.0,6.0,1.0,0.0,0.0,2.0,9.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,7.3,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,0.0,0.0,7.0,10.0,1.0,17.0,15.0,0.0,0.0,0.0,14.0,3.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0
-Sam Beukema,nl NED,DF,Bologna,24-296,1998,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,215.0,229.0,93.9,3910.0,1401.0,93.0,94.0,98.9,99.0,104.0,95.2,20.0,26.0,76.9,1.0,16.0,0.0,0.0,14.0,223.0,5.0,4.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,2.0,0.67,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,4.0,6.0,2.0,0.0,4.0,1.0,3.0,2.0,11.0,0.0,253.0,27.0,92.0,163.0,0.0,0.0,253.0,167.0,4.0,1.0,1.0,186.0,0.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,21.0,0.0,1.0,0.0
-Jaka Bijol,si SVN,DF,Udinese,24-216,1999,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,113.0,139.0,81.3,2444.0,1068.0,29.0,33.0,87.9,59.0,71.0,83.1,24.0,33.0,72.7,0.0,10.0,1.0,0.0,10.0,135.0,4.0,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.33,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,3.0,6.0,1.0,0.0,4.0,4.0,0.0,2.0,18.0,0.0,173.0,31.0,81.0,91.0,1.0,0.0,173.0,94.0,2.0,0.0,0.0,97.0,0.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,14.0,8.0,3.0,72.7
-Cristiano Biraghi,it ITA,DF,Fiorentina,31-008,1992,2.0,2.0,180.0,1.0,1.0,0.0,0.0,1.0,0.0,0.5,0.5,1.0,0.5,1.0,0.0,0.0,0.01,0.01,2.0,1.0,0.0,100.0,0.5,1.0,1.0,0.03,1.0,1.0,155.0,195.0,79.5,2945.0,873.0,65.0,66.0,98.5,62.0,78.0,79.5,24.0,37.0,64.9,1.0,6.0,0.0,0.0,5.0,156.0,39.0,9.0,0.0,6.0,14.0,5.0,1.0,3.0,0.0,25.0,0.0,7.0,3.0,1.5,0.0,1.0,0.0,0.0,3.0,1.5,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,3.0,3.0,0.0,207.0,4.0,66.0,93.0,50.0,4.0,207.0,131.0,12.0,6.0,1.0,138.0,0.0,0.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,10.0,1.0,2.0,33.3
-Davide Biraschi,it ITA,DF,Genoa,29-069,1994,1.0,1.0,90.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,0.1,0.1,0.1,0.1,1.0,1.0,0.0,100.0,1.0,1.0,1.0,0.1,0.9,0.9,31.0,37.0,83.8,684.0,308.0,6.0,7.0,85.7,18.0,21.0,85.7,7.0,9.0,77.8,0.0,2.0,1.0,0.0,5.0,28.0,9.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,1.0,2.0,0.0,0.0,0.0,0.0,2.0,5.0,0.0,48.0,5.0,20.0,21.0,7.0,1.0,48.0,19.0,0.0,2.0,0.0,21.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,4.0,1.0,0.0,100.0
-Samuele Birindelli,it ITA,"DF,MF",Monza,24-052,1999,3.0,2.0,201.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.45,0.45,0.0,0.45,0.1,0.1,0.05,0.05,2.2,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,97.0,111.0,87.4,1724.0,325.0,46.0,49.0,93.9,42.0,45.0,93.3,9.0,13.0,69.2,2.0,5.0,5.0,3.0,5.0,90.0,21.0,1.0,0.0,1.0,7.0,0.0,0.0,0.0,0.0,20.0,0.0,4.0,2.0,0.9,2.0,0.0,0.0,0.0,1.0,0.45,1.0,0.0,0.0,0.0,0.0,5.0,4.0,3.0,2.0,0.0,6.0,3.0,3.0,3.0,3.0,0.0,135.0,9.0,44.0,56.0,35.0,5.0,135.0,63.0,4.0,2.0,1.0,87.0,3.0,0.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,3.0,3.0,2.0,60.0
-Alexis Blin,fr FRA,"MF,DF",Lecce,26-358,1996,3.0,0.0,59.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.25,0.25,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.16,-0.2,-0.2,37.0,43.0,86.0,665.0,193.0,12.0,14.0,85.7,23.0,24.0,95.8,1.0,2.0,50.0,0.0,5.0,1.0,0.0,5.0,39.0,4.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.53,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,1.0,3.0,0.0,54.0,4.0,16.0,34.0,4.0,1.0,54.0,33.0,0.0,0.0,0.0,30.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,6.0,2.0,1.0,66.7
-Emil Bohinen,no NOR,MF,Salernitana,24-181,1999,2.0,1.0,66.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.06,0.06,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,29.0,42.0,69.0,552.0,181.0,13.0,16.0,81.3,11.0,18.0,61.1,5.0,7.0,71.4,0.0,1.0,0.0,0.0,5.0,41.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.36,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,1.0,0.0,1.0,56.0,1.0,11.0,40.0,5.0,1.0,56.0,21.0,1.0,0.0,0.0,30.0,3.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,5.0,4.0,3.0,57.1
-Daniel Boloca,ro ROU,MF,Sassuolo,24-261,1998,2.0,2.0,150.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.05,0.05,1.7,2.0,0.0,66.7,1.2,0.0,0.0,0.03,-0.1,-0.1,63.0,70.0,90.0,956.0,229.0,28.0,30.0,93.3,28.0,30.0,93.3,2.0,3.0,66.7,0.0,2.0,0.0,0.0,5.0,68.0,2.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,1.2,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,1.0,2.0,0.0,0.0,0.0,0.0,1.0,3.0,0.0,85.0,7.0,25.0,41.0,19.0,2.0,85.0,36.0,0.0,2.0,0.0,56.0,2.0,0.0,0.0,2.0,1.0,0.0,0.0,1.0,0.0,9.0,1.0,1.0,50.0
-Giacomo Bonaventura,it ITA,MF,Fiorentina,34-018,1989,3.0,3.0,223.0,1.0,1.0,0.0,0.0,1.0,0.0,0.4,0.4,0.81,0.4,0.81,0.7,0.7,0.27,0.27,2.5,1.0,0.0,33.3,0.4,0.33,1.0,0.22,0.3,0.3,113.0,126.0,89.7,1869.0,330.0,46.0,53.0,86.8,54.0,55.0,98.2,8.0,10.0,80.0,1.0,7.0,3.0,0.0,14.0,125.0,1.0,0.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,4.0,1.61,4.0,0.0,0.0,0.0,2.0,0.81,2.0,0.0,0.0,0.0,0.0,4.0,3.0,1.0,0.0,3.0,4.0,0.0,4.0,3.0,2.0,0.0,160.0,3.0,21.0,93.0,47.0,6.0,160.0,117.0,4.0,1.0,2.0,125.0,6.0,4.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,9.0,2.0,2.0,50.0
-Federico Bonazzoli,it ITA,"FW,MF",Hellas Verona,26-111,1997,3.0,0.0,87.0,1.0,0.0,0.0,0.0,0.0,0.0,1.03,0.0,1.03,1.03,1.03,0.2,0.2,0.21,0.21,1.0,3.0,0.0,75.0,3.1,0.25,0.33,0.05,0.8,0.8,19.0,27.0,70.4,238.0,29.0,15.0,19.0,78.9,3.0,3.0,100.0,1.0,1.0,100.0,1.0,3.0,0.0,0.0,1.0,26.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,2.0,2.07,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,40.0,1.0,3.0,19.0,18.0,6.0,40.0,30.0,2.0,2.0,1.0,31.0,4.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,5.0,0.0,3.0,0.0
-Warren Bondo,fr FRA,MF,Monza,19-359,2003,1.0,0.0,25.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,15.0,80.0,168.0,43.0,7.0,8.0,87.5,4.0,4.0,100.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,2.0,15.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,0.0,2.0,10.0,4.0,0.0,16.0,10.0,2.0,1.0,0.0,14.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0
-Gennaro Borrelli,it ITA,FW,Frosinone,23-183,2000,1.0,0.0,24.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
-Erik Botheim,no NOR,"FW,MF",Salernitana,23-242,2000,3.0,3.0,209.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,33.0,45.0,73.3,451.0,23.0,23.0,29.0,79.3,9.0,10.0,90.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,2.0,41.0,4.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.43,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,56.0,2.0,8.0,37.0,12.0,4.0,56.0,32.0,2.0,1.0,1.0,40.0,2.0,0.0,0.0,2.0,6.0,0.0,0.0,0.0,0.0,6.0,1.0,13.0,7.1
-Edoardo Bove,it ITA,MF,Roma,21-116,2002,2.0,1.0,85.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.06,1.06,0.0,1.06,0.4,0.4,0.41,0.41,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.19,-0.4,-0.4,30.0,36.0,83.3,539.0,120.0,12.0,14.0,85.7,14.0,15.0,93.3,3.0,3.0,100.0,2.0,6.0,0.0,0.0,5.0,36.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,3.18,2.0,0.0,0.0,1.0,1.0,1.06,1.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,2.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,45.0,1.0,4.0,27.0,14.0,3.0,45.0,29.0,0.0,0.0,0.0,34.0,2.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,5.0,2.0,0.0,100.0
-Domagoj Bradarić,hr CRO,DF,Salernitana,23-273,1999,3.0,2.0,209.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.43,0.43,0.0,0.43,0.0,0.0,0.01,0.01,2.3,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,90.0,117.0,76.9,1478.0,463.0,42.0,51.0,82.4,36.0,43.0,83.7,6.0,12.0,50.0,2.0,2.0,1.0,0.0,7.0,90.0,27.0,0.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,27.0,0.0,4.0,3.0,1.29,2.0,1.0,0.0,0.0,1.0,0.43,1.0,0.0,0.0,0.0,0.0,3.0,2.0,0.0,2.0,1.0,0.0,0.0,0.0,2.0,3.0,0.0,132.0,5.0,31.0,69.0,33.0,0.0,132.0,66.0,3.0,2.0,0.0,73.0,3.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,10.0,1.0,2.0,33.3
-Josip Brekalo,hr CRO,FW,Fiorentina,25-078,1998,3.0,1.0,152.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.03,1.7,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,65.0,75.0,86.7,981.0,254.0,33.0,34.0,97.1,21.0,26.0,80.8,6.0,7.0,85.7,3.0,5.0,5.0,2.0,6.0,74.0,1.0,0.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,7.0,4.14,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,89.0,0.0,12.0,30.0,49.0,4.0,89.0,62.0,2.0,1.0,2.0,69.0,1.0,2.0,0.0,6.0,1.0,0.0,0.0,0.0,0.0,7.0,0.0,2.0,0.0
-Gleison Bremer,br BRA,DF,Juventus,26-175,1997,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.07,0.07,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,-0.2,-0.2,161.0,183.0,88.0,2876.0,845.0,65.0,73.0,89.0,80.0,83.0,96.4,14.0,22.0,63.6,0.0,3.0,0.0,0.0,5.0,164.0,17.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,3.0,1.0,0.0,3.0,2.0,1.0,4.0,10.0,0.0,213.0,35.0,114.0,88.0,11.0,5.0,213.0,122.0,1.0,1.0,1.0,133.0,2.0,1.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,14.0,6.0,6.0,50.0
-Marco Brescianini,it ITA,MF,Frosinone,23-232,2000,2.0,0.0,33.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.06,0.06,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,8.0,11.0,72.7,108.0,67.0,5.0,6.0,83.3,1.0,1.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,2.73,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,0.0,3.0,8.0,3.0,3.0,14.0,11.0,0.0,0.0,0.0,12.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Alessandro Buongiorno,it ITA,DF,Torino,24-095,1999,3.0,3.0,270.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,117.0,138.0,84.8,2003.0,699.0,50.0,54.0,92.6,61.0,66.0,92.4,5.0,14.0,35.7,1.0,1.0,0.0,0.0,4.0,136.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,0.67,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,2.0,3.0,3.0,0.0,3.0,1.0,2.0,6.0,13.0,0.0,174.0,17.0,93.0,79.0,2.0,0.0,174.0,104.0,0.0,1.0,1.0,94.0,5.0,1.0,0.0,9.0,2.0,0.0,0.0,1.0,0.0,20.0,9.0,10.0,47.4
-Rareș-Cătălin Burnete,ro ROU,FW,Lecce,19-221,2004,1.0,0.0,8.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,11.25,11.25,0.0,11.25,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,8.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,2.0,2.0,1.0,4.0,2.0,0.0,0.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Juan Cabal,co COL,DF,Hellas Verona,22-244,2001,2.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.09,0.09,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,12.0,15.0,80.0,280.0,123.0,4.0,4.0,100.0,5.0,6.0,83.3,3.0,4.0,75.0,0.0,4.0,0.0,0.0,4.0,14.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,0.0,0.0,14.0,2.0,0.0,16.0,11.0,1.0,0.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,100.0
-Jovane Cabral,cv CPV,"MF,DF",Salernitana,25-087,1998,2.0,1.0,119.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.22,0.22,1.3,2.0,0.0,40.0,1.51,0.0,0.0,0.06,-0.3,-0.3,39.0,49.0,79.6,785.0,265.0,12.0,14.0,85.7,17.0,21.0,81.0,7.0,9.0,77.8,2.0,5.0,2.0,1.0,9.0,46.0,3.0,1.0,0.0,2.0,5.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,5.0,3.78,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,3.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,69.0,1.0,10.0,40.0,20.0,5.0,69.0,43.0,3.0,1.0,0.0,50.0,5.0,5.0,0.0,4.0,3.0,0.0,0.0,1.0,0.0,4.0,2.0,2.0,50.0
-Liberato Cacace,nz NZL,DF,Empoli,22-347,2000,2.0,2.0,131.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,1.5,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,74.0,101.0,73.3,1172.0,494.0,35.0,41.0,85.4,30.0,38.0,78.9,4.0,12.0,33.3,1.0,4.0,1.0,0.0,6.0,77.0,23.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,23.0,1.0,3.0,3.0,2.05,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,3.0,2.0,0.0,119.0,3.0,32.0,54.0,33.0,1.0,119.0,64.0,3.0,0.0,0.0,69.0,0.0,2.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,6.0,2.0,2.0,50.0
-Jens Cajuste,se SWE,MF,Napoli,24-030,1999,2.0,1.0,53.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,22.0,90.9,285.0,79.0,13.0,13.0,100.0,6.0,7.0,85.7,1.0,1.0,100.0,2.0,1.0,1.0,0.0,2.0,22.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,5.09,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,2.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,32.0,2.0,7.0,16.0,9.0,2.0,32.0,18.0,0.0,0.0,0.0,22.0,3.0,1.0,0.0,4.0,1.0,1.0,0.0,1.0,0.0,4.0,0.0,0.0,0.0
-Davide Calabria,it ITA,DF,Milan,26-277,1996,3.0,3.0,252.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.36,0.36,0.0,0.36,0.1,0.1,0.05,0.05,2.8,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.1,-0.1,126.0,143.0,88.1,2141.0,567.0,54.0,55.0,98.2,61.0,68.0,89.7,8.0,15.0,53.3,1.0,6.0,2.0,2.0,9.0,126.0,17.0,5.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,12.0,0.0,1.0,2.0,0.71,1.0,0.0,0.0,1.0,1.0,0.36,1.0,0.0,0.0,0.0,0.0,7.0,2.0,5.0,1.0,1.0,4.0,1.0,3.0,3.0,6.0,0.0,170.0,8.0,56.0,99.0,15.0,1.0,170.0,85.0,1.0,1.0,0.0,109.0,1.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,9.0,1.0,3.0,25.0
-Luca Caldirola,it ITA,DF,Monza,32-220,1991,3.0,3.0,270.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,166.0,182.0,91.2,3108.0,971.0,65.0,66.0,98.5,82.0,89.0,92.1,18.0,24.0,75.0,0.0,12.0,0.0,0.0,7.0,172.0,10.0,3.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,3.0,1.0,1.0,3.0,3.0,0.0,3.0,5.0,0.0,200.0,29.0,93.0,99.0,8.0,0.0,200.0,123.0,2.0,0.0,0.0,154.0,0.0,0.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,7.0,1.0,1.0,50.0
-Hakan Çalhanoğlu,tr TUR,MF,Inter,29-213,1994,3.0,3.0,257.0,1.0,0.0,1.0,1.0,0.0,0.0,0.35,0.0,0.35,0.0,0.0,1.1,0.3,0.39,0.11,2.9,1.0,2.0,16.7,0.35,0.0,0.0,0.05,-0.1,-0.3,181.0,195.0,92.8,3431.0,1077.0,71.0,73.0,97.3,78.0,81.0,96.3,26.0,33.0,78.8,4.0,16.0,0.0,0.0,18.0,180.0,14.0,5.0,1.0,5.0,10.0,8.0,2.0,5.0,0.0,1.0,1.0,1.0,9.0,3.15,5.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,8.0,5.0,2.0,3.0,5.0,3.0,2.0,1.0,2.0,0.0,223.0,10.0,62.0,114.0,51.0,2.0,222.0,145.0,5.0,6.0,1.0,149.0,2.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,26.0,3.0,1.0,75.0
-Nicolò Cambiaghi,it ITA,FW,Empoli,22-255,2000,2.0,1.0,119.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.13,0.13,1.3,1.0,0.0,33.3,0.76,0.0,0.0,0.06,-0.2,-0.2,30.0,44.0,68.2,412.0,61.0,20.0,22.0,90.9,9.0,15.0,60.0,1.0,4.0,25.0,0.0,1.0,1.0,1.0,2.0,40.0,4.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,2.0,1.51,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,2.0,0.0,0.0,56.0,0.0,3.0,13.0,41.0,5.0,56.0,42.0,8.0,0.0,3.0,47.0,3.0,3.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0
-Andrea Cambiaso,it ITA,DF,Juventus,23-201,2000,3.0,2.0,154.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.58,0.58,0.0,0.58,0.1,0.1,0.03,0.03,1.7,1.0,0.0,50.0,0.58,0.0,0.0,0.03,-0.1,-0.1,83.0,93.0,89.2,1285.0,270.0,49.0,51.0,96.1,27.0,31.0,87.1,4.0,5.0,80.0,2.0,0.0,2.0,1.0,5.0,75.0,17.0,2.0,0.0,1.0,7.0,6.0,0.0,2.0,0.0,9.0,1.0,2.0,5.0,2.92,3.0,1.0,0.0,1.0,1.0,0.58,1.0,0.0,0.0,0.0,0.0,6.0,4.0,3.0,3.0,0.0,1.0,0.0,1.0,0.0,2.0,0.0,115.0,2.0,20.0,49.0,47.0,2.0,115.0,68.0,4.0,3.0,2.0,81.0,2.0,0.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
-Matteo Cancellieri,it ITA,FW,Empoli,21-209,2002,3.0,2.0,144.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.14,0.14,1.6,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.2,-0.2,30.0,46.0,65.2,442.0,89.0,18.0,21.0,85.7,8.0,12.0,66.7,3.0,10.0,30.0,0.0,0.0,1.0,0.0,4.0,44.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,3.0,1.87,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,3.0,0.0,1.0,0.0,60.0,3.0,11.0,23.0,28.0,6.0,60.0,43.0,4.0,3.0,1.0,45.0,0.0,5.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,10.0,0.0,6.0,0.0
-Antonio Candreva,it ITA,MF,Salernitana,36-193,1987,3.0,3.0,270.0,2.0,1.0,0.0,0.0,1.0,0.0,0.67,0.33,1.0,0.67,1.0,0.8,0.8,0.27,0.27,3.0,4.0,1.0,80.0,1.33,0.4,0.5,0.16,1.2,1.2,91.0,129.0,70.5,1436.0,470.0,43.0,47.0,91.5,32.0,44.0,72.7,8.0,22.0,36.4,5.0,7.0,11.0,2.0,18.0,112.0,17.0,9.0,1.0,2.0,18.0,5.0,1.0,2.0,0.0,2.0,0.0,7.0,11.0,3.67,9.0,0.0,1.0,1.0,2.0,0.67,2.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,2.0,0.0,147.0,5.0,10.0,66.0,72.0,8.0,147.0,100.0,6.0,7.0,0.0,120.0,3.0,2.0,0.0,0.0,7.0,1.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0
-Luigi Canotto,it ITA,FW,Frosinone,29-113,1994,1.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,66.7,21.0,9.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,2.0,0.0,0.0,4.0,5.0,0.0,0.0,0.0,3.0,0.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Gianluca Caprari,it ITA,"MF,FW",Monza,30-041,1993,3.0,3.0,230.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.1,0.1,2.6,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.3,-0.3,80.0,99.0,80.8,1430.0,415.0,41.0,44.0,93.2,25.0,30.0,83.3,13.0,19.0,68.4,9.0,9.0,7.0,0.0,14.0,94.0,5.0,0.0,0.0,0.0,5.0,4.0,1.0,3.0,0.0,0.0,0.0,4.0,14.0,5.48,10.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,123.0,1.0,16.0,55.0,54.0,8.0,123.0,89.0,10.0,9.0,4.0,99.0,8.0,7.0,0.0,2.0,2.0,2.0,0.0,0.0,0.0,9.0,0.0,4.0,0.0
-Elia Caprile,it ITA,GK,Empoli,22-015,2001,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,24.0,41.0,58.5,812.0,542.0,0.0,0.0,0.0,10.0,10.0,100.0,14.0,31.0,45.2,0.0,1.0,0.0,0.0,0.0,34.0,7.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,44.0,30.0,44.0,0.0,0.0,0.0,44.0,26.0,0.0,0.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Francesco Caputo,it ITA,FW,Empoli,36-034,1987,3.0,3.0,213.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.18,0.18,2.4,2.0,0.0,33.3,0.85,0.0,0.0,0.07,-0.4,-0.4,26.0,45.0,57.8,319.0,39.0,15.0,23.0,65.2,8.0,10.0,80.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,5.0,42.0,3.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,6.0,2.54,3.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,61.0,0.0,1.0,27.0,33.0,10.0,61.0,38.0,2.0,2.0,1.0,50.0,6.0,4.0,0.0,1.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0
-Andrea Carboni,it ITA,DF,Monza,22-217,2001,1.0,0.0,25.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,23.0,25.0,92.0,361.0,114.0,12.0,12.0,100.0,11.0,11.0,100.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,24.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,3.6,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,29.0,4.0,10.0,17.0,2.0,1.0,29.0,18.0,0.0,0.0,0.0,21.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,100.0
-Valentin Carboni,ar ARG,"DF,MF",Monza,18-188,2005,2.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,2.21,2.21,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.2,-0.2,9.0,10.0,90.0,169.0,48.0,3.0,3.0,100.0,5.0,5.0,100.0,1.0,2.0,50.0,1.0,1.0,0.0,0.0,3.0,8.0,2.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,11.25,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,0.0,2.0,6.0,9.0,2.0,17.0,8.0,1.0,1.0,1.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Carlos,br BRA,DF,Inter,24-245,1999,3.0,0.0,65.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.18,0.18,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.13,-0.1,-0.1,23.0,30.0,76.7,301.0,80.0,12.0,13.0,92.3,10.0,12.0,83.3,0.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,26.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,35.0,2.0,10.0,10.0,15.0,2.0,35.0,21.0,1.0,1.0,0.0,24.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,4.0,5.0,0.0,100.0
-Nicolò Casale,it ITA,DF,Lazio,25-207,1998,2.0,2.0,180.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,150.0,160.0,93.8,2624.0,1011.0,56.0,62.0,90.3,80.0,80.0,100.0,11.0,13.0,84.6,1.0,24.0,0.0,0.0,19.0,157.0,3.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,3.0,3.0,0.0,0.0,17.0,0.0,184.0,23.0,62.0,115.0,8.0,0.0,184.0,129.0,8.0,6.0,0.0,129.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,13.0,2.0,2.0,50.0
-Giuseppe Caso,it ITA,"FW,MF",Frosinone,24-274,1998,2.0,1.0,77.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.03,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,17.0,18.0,94.4,187.0,83.0,11.0,11.0,100.0,4.0,5.0,80.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,5.0,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.34,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28.0,0.0,3.0,8.0,18.0,3.0,28.0,18.0,3.0,2.0,1.0,21.0,2.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Valentín Castellanos,ar ARG,"MF,FW",Lazio,24-341,1998,3.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,3.12,3.12,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.28,-0.6,-0.6,4.0,6.0,66.7,42.0,25.0,3.0,5.0,60.0,1.0,1.0,100.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,0.0,1.0,4.0,10.0,3.0,15.0,6.0,0.0,0.0,0.0,10.0,5.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,7.0,22.2
-Danilo Cataldi,it ITA,MF,Lazio,29-034,1994,3.0,3.0,255.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,2.8,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,140.0,156.0,89.7,2083.0,586.0,82.0,87.0,94.3,50.0,54.0,92.6,6.0,10.0,60.0,1.0,12.0,0.0,0.0,13.0,150.0,6.0,2.0,0.0,0.0,3.0,2.0,0.0,2.0,0.0,2.0,0.0,1.0,3.0,1.06,2.0,0.0,0.0,0.0,1.0,0.35,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,2.0,2.0,0.0,4.0,6.0,1.0,178.0,11.0,51.0,116.0,13.0,0.0,178.0,99.0,3.0,2.0,0.0,128.0,3.0,1.0,0.0,4.0,3.0,0.0,0.0,0.0,0.0,21.0,1.0,0.0,100.0
-Emil Ceide,no NOR,"FW,MF",Sassuolo,22-006,2001,2.0,0.0,43.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,18.0,77.8,159.0,48.0,9.0,11.0,81.8,3.0,4.0,75.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,1.0,18.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,6.28,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,25.0,0.0,5.0,10.0,12.0,2.0,25.0,12.0,3.0,0.0,2.0,19.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Zeki Çelik,tr TUR,DF,Roma,26-204,1997,1.0,1.0,69.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,27.0,33.0,81.8,487.0,258.0,14.0,17.0,82.4,10.0,12.0,83.3,3.0,4.0,75.0,0.0,1.0,0.0,0.0,3.0,29.0,4.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,2.0,0.0,38.0,2.0,14.0,18.0,6.0,0.0,38.0,20.0,0.0,2.0,0.0,24.0,1.0,1.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,2.0,50.0
-Michele Cerofolini,it ITA,GK,Frosinone,24-248,1999,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,32.0,50.0,342.0,254.0,5.0,5.0,100.0,7.0,7.0,100.0,4.0,20.0,20.0,0.0,0.0,0.0,0.0,0.0,24.0,8.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,34.0,30.0,34.0,0.0,0.0,0.0,34.0,23.0,0.0,0.0,0.0,22.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Walid Cheddira,ma MAR,FW,Frosinone,25-230,1998,2.0,2.0,160.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.38,0.38,1.8,0.0,0.0,0.0,0.0,0.0,0.0,0.33,-0.7,-0.7,24.0,36.0,66.7,289.0,13.0,15.0,21.0,71.4,7.0,10.0,70.0,1.0,1.0,100.0,3.0,0.0,0.0,0.0,0.0,35.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,2.25,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,1.0,0.0,51.0,2.0,3.0,25.0,23.0,6.0,51.0,26.0,4.0,1.0,2.0,37.0,3.0,1.0,0.0,1.0,2.0,1.0,0.0,0.0,0.0,3.0,3.0,7.0,30.0
-Federico Chiesa,it ITA,FW,Juventus,25-319,1997,3.0,3.0,231.0,2.0,0.0,0.0,0.0,0.0,0.0,0.78,0.0,0.78,0.78,0.78,0.9,0.9,0.35,0.35,2.6,2.0,0.0,40.0,0.78,0.4,1.0,0.18,1.1,1.1,50.0,73.0,68.5,678.0,167.0,26.0,37.0,70.3,19.0,26.0,73.1,1.0,3.0,33.3,3.0,0.0,5.0,0.0,6.0,69.0,3.0,1.0,1.0,0.0,6.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,9.0,3.49,7.0,0.0,0.0,0.0,2.0,0.78,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,0.0,101.0,2.0,9.0,28.0,65.0,15.0,101.0,69.0,15.0,8.0,7.0,83.0,5.0,3.0,0.0,1.0,6.0,2.0,0.0,0.0,0.0,5.0,0.0,1.0,0.0
-Oliver Christensen,dk DEN,GK,Fiorentina,24-171,1999,2.0,2.0,180.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,66.0,86.0,76.7,1928.0,1329.0,8.0,8.0,100.0,28.0,30.0,93.3,29.0,47.0,61.7,0.0,1.0,0.0,0.0,0.0,75.0,11.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,90.0,68.0,90.0,0.0,0.0,0.0,90.0,61.0,0.0,0.0,0.0,59.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,3.0,0.0,0.0,0.0
-Samuel Chukwueze,ng NGA,FW,Milan,24-110,1999,3.0,0.0,57.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.05,0.05,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,15.0,23.0,65.2,167.0,17.0,12.0,14.0,85.7,3.0,6.0,50.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,1.0,21.0,2.0,0.0,0.0,0.0,3.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,30.0,1.0,8.0,10.0,12.0,3.0,30.0,19.0,5.0,2.0,1.0,21.0,2.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,3.0,2.0,3.0,40.0
-Patrick Ciurria,it ITA,DF,Monza,28-212,1995,3.0,3.0,270.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.33,0.33,0.0,0.33,0.3,0.3,0.1,0.1,3.0,1.0,0.0,20.0,0.33,0.0,0.0,0.06,-0.3,-0.3,158.0,190.0,83.2,2565.0,910.0,85.0,94.0,90.4,60.0,71.0,84.5,10.0,17.0,58.8,6.0,10.0,8.0,4.0,13.0,163.0,27.0,2.0,1.0,1.0,14.0,1.0,0.0,0.0,0.0,24.0,0.0,5.0,10.0,3.33,9.0,0.0,0.0,0.0,1.0,0.33,1.0,0.0,0.0,0.0,0.0,4.0,2.0,1.0,1.0,2.0,3.0,2.0,1.0,2.0,4.0,0.0,217.0,9.0,53.0,76.0,90.0,8.0,217.0,123.0,7.0,8.0,2.0,161.0,1.0,1.0,0.0,3.0,1.0,1.0,0.0,0.0,0.0,7.0,1.0,2.0,33.3
-Lorenzo Colombo,it ITA,FW,Monza,21-185,2002,1.0,0.0,31.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,11.0,63.6,95.0,17.0,5.0,7.0,71.4,1.0,2.0,50.0,1.0,2.0,50.0,0.0,0.0,1.0,0.0,2.0,10.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.9,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,1.0,4.0,6.0,3.0,0.0,13.0,8.0,1.0,0.0,0.0,10.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,50.0
-Andrea Colpani,it ITA,MF,Monza,24-121,1999,3.0,3.0,221.0,2.0,0.0,0.0,0.0,0.0,0.0,0.81,0.0,0.81,0.81,0.81,0.6,0.6,0.26,0.26,2.5,4.0,1.0,57.1,1.63,0.29,0.5,0.09,1.4,1.4,70.0,82.0,85.4,1326.0,340.0,30.0,31.0,96.8,26.0,29.0,89.7,13.0,19.0,68.4,5.0,9.0,5.0,1.0,13.0,74.0,7.0,1.0,0.0,2.0,6.0,5.0,1.0,3.0,0.0,1.0,1.0,1.0,10.0,4.07,8.0,1.0,0.0,0.0,1.0,0.41,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,105.0,1.0,7.0,49.0,50.0,10.0,105.0,63.0,11.0,3.0,4.0,82.0,2.0,1.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,6.0,0.0,2.0,0.0
-Andrea Consigli,it ITA,GK,Sassuolo,36-225,1987,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,87.0,129.0,67.4,2284.0,1517.0,20.0,20.0,100.0,34.0,35.0,97.1,31.0,72.0,43.1,0.0,3.0,0.0,0.0,0.0,88.0,41.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,136.0,115.0,136.0,0.0,0.0,0.0,136.0,67.0,0.0,0.0,0.0,62.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0
-Diego Coppola,it ITA,DF,Hellas Verona,19-255,2003,2.0,2.0,180.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.05,0.0,0.0,69.0,92.0,75.0,1290.0,389.0,29.0,34.0,85.3,29.0,35.0,82.9,10.0,18.0,55.6,0.0,0.0,0.0,0.0,1.0,88.0,4.0,3.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.5,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,4.0,2.0,0.0,4.0,2.0,2.0,2.0,16.0,0.0,129.0,21.0,90.0,37.0,3.0,1.0,129.0,58.0,0.0,0.0,0.0,60.0,1.0,1.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,14.0,13.0,5.0,72.2
-Tommaso Corazza,it ITA,DF,Bologna,19-072,2004,2.0,0.0,34.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,23.0,87.0,288.0,87.0,9.0,10.0,90.0,6.0,6.0,100.0,2.0,3.0,66.7,0.0,0.0,0.0,0.0,1.0,18.0,5.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,2.0,5.29,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,33.0,3.0,13.0,11.0,10.0,4.0,33.0,15.0,2.0,1.0,1.0,18.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0
-Lassana Coulibaly,ml MLI,MF,Salernitana,27-152,1996,3.0,3.0,240.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.37,0.37,0.0,0.37,0.0,0.0,0.01,0.01,2.7,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,85.0,103.0,82.5,1387.0,404.0,40.0,45.0,88.9,38.0,44.0,86.4,5.0,8.0,62.5,4.0,10.0,1.0,0.0,10.0,98.0,5.0,5.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,4.0,1.5,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,2.0,1.0,1.0,3.0,1.0,2.0,4.0,5.0,0.0,132.0,5.0,20.0,87.0,25.0,5.0,132.0,75.0,3.0,3.0,0.0,82.0,7.0,4.0,0.0,4.0,6.0,0.0,0.0,0.0,0.0,14.0,3.0,2.0,60.0
-Mamadou Coulibaly,sn SEN,DF,Salernitana,24-218,1999,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,33.3,6.0,1.0,1.0,3.0,33.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,1.0,2.0,0.0,3.0,3.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Bryan Cristante,it ITA,"MF,DF",Roma,28-190,1995,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.05,0.05,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,-0.1,-0.1,153.0,185.0,82.7,2718.0,905.0,59.0,71.0,83.1,73.0,78.0,93.6,16.0,23.0,69.6,7.0,17.0,5.0,0.0,20.0,179.0,3.0,3.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,16.0,5.33,15.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,1.0,2.0,0.0,1.0,0.0,1.0,3.0,0.0,0.0,203.0,3.0,33.0,129.0,46.0,9.0,203.0,128.0,6.0,7.0,0.0,160.0,2.0,4.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,20.0,9.0,8.0,52.9
-Juan Cuadrado,co COL,DF,Inter,35-106,1988,3.0,0.0,65.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.38,1.38,0.0,1.38,0.1,0.1,0.09,0.09,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,36.0,43.0,83.7,632.0,114.0,16.0,16.0,100.0,12.0,14.0,85.7,5.0,9.0,55.6,3.0,1.0,1.0,1.0,1.0,41.0,2.0,0.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,4.0,5.54,4.0,0.0,0.0,0.0,1.0,1.38,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,52.0,0.0,10.0,24.0,19.0,6.0,52.0,37.0,8.0,3.0,4.0,40.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0
-Marvin Cuni,al ALB,FW,Frosinone,22-061,2001,3.0,1.0,86.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,23.0,69.6,146.0,6.0,9.0,11.0,81.8,4.0,6.0,66.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,36.0,0.0,1.0,20.0,15.0,4.0,36.0,20.0,0.0,0.0,0.0,32.0,6.0,4.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,3.0,5.0,7.0,41.7
-Danilo D'Ambrosio,it ITA,DF,Monza,35-000,1988,2.0,1.0,89.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,70.0,75.0,93.3,1251.0,362.0,28.0,28.0,100.0,37.0,39.0,94.9,5.0,7.0,71.4,1.0,5.0,1.0,0.0,5.0,68.0,7.0,3.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,1.01,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,4.0,1.0,0.0,2.0,1.0,1.0,3.0,2.0,0.0,87.0,12.0,36.0,45.0,6.0,0.0,87.0,50.0,3.0,0.0,0.0,60.0,0.0,0.0,0.0,3.0,1.0,1.0,0.0,0.0,0.0,3.0,1.0,1.0,50.0
-Danilo,br BRA,DF,Juventus,32-056,1991,3.0,3.0,270.0,1.0,0.0,0.0,0.0,1.0,0.0,0.33,0.0,0.33,0.33,0.33,0.4,0.4,0.12,0.12,3.0,1.0,0.0,25.0,0.33,0.25,1.0,0.1,0.6,0.6,189.0,219.0,86.3,3573.0,1461.0,74.0,80.0,92.5,88.0,96.0,91.7,24.0,37.0,64.9,2.0,25.0,3.0,1.0,24.0,213.0,6.0,4.0,0.0,3.0,4.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,9.0,3.0,8.0,0.0,1.0,0.0,1.0,0.33,0.0,0.0,1.0,0.0,0.0,5.0,4.0,3.0,2.0,0.0,2.0,0.0,2.0,4.0,9.0,0.0,245.0,22.0,91.0,121.0,35.0,5.0,245.0,126.0,1.0,1.0,0.0,172.0,1.0,0.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,17.0,6.0,1.0,85.7
-Matteo Darmian,it ITA,DF,Inter,33-281,1989,3.0,3.0,263.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,2.9,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,131.0,150.0,87.3,2416.0,746.0,54.0,59.0,91.5,65.0,66.0,98.5,11.0,19.0,57.9,1.0,15.0,0.0,0.0,12.0,149.0,1.0,1.0,1.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,1.03,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,4.0,4.0,5.0,1.0,4.0,2.0,2.0,1.0,9.0,0.0,177.0,18.0,68.0,102.0,7.0,1.0,177.0,120.0,3.0,1.0,0.0,126.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,9.0,3.0,6.0,33.3
-Paweł Dawidowicz,pl POL,DF,Hellas Verona,28-112,1995,3.0,3.0,270.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,143.0,176.0,81.3,3296.0,1367.0,26.0,36.0,72.2,81.0,90.0,90.0,34.0,46.0,73.9,1.0,6.0,1.0,0.0,12.0,166.0,9.0,7.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,2.0,0.67,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,5.0,3.0,4.0,0.0,2.0,1.0,1.0,2.0,13.0,0.0,202.0,18.0,100.0,101.0,4.0,1.0,202.0,128.0,1.0,2.0,0.0,122.0,2.0,0.0,0.0,4.0,3.0,0.0,0.0,0.0,0.0,20.0,14.0,1.0,93.3
-Charles De Ketelaere,be BEL,"FW,MF",Atalanta,22-183,2001,3.0,1.0,171.0,1.0,1.0,0.0,0.0,0.0,0.0,0.53,0.53,1.05,0.53,1.05,0.5,0.5,0.25,0.25,1.9,2.0,0.0,50.0,1.05,0.25,0.5,0.12,0.5,0.5,65.0,80.0,81.3,988.0,291.0,36.0,43.0,83.7,21.0,26.0,80.8,5.0,7.0,71.4,4.0,4.0,4.0,1.0,14.0,75.0,5.0,3.0,1.0,0.0,5.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,7.0,3.68,6.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,1.0,1.0,3.0,2.0,0.0,2.0,0.0,1.0,0.0,102.0,0.0,7.0,35.0,63.0,11.0,102.0,64.0,8.0,7.0,3.0,75.0,4.0,2.0,0.0,3.0,0.0,1.0,0.0,0.0,0.0,8.0,1.0,1.0,50.0
-Lorenzo De Silvestri,it ITA,DF,Bologna,35-109,1988,1.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,66.7,32.0,6.0,1.0,1.0,100.0,1.0,2.0,50.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,7.0,0.0,5.0,2.0,0.0,0.0,7.0,2.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Grégoire Defrel,mq MTQ,FW,Sassuolo,32-084,1991,1.0,1.0,77.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,18.0,83.3,264.0,62.0,5.0,6.0,83.3,8.0,10.0,80.0,2.0,2.0,100.0,1.0,3.0,0.0,0.0,3.0,17.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,2.0,2.34,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,21.0,2.0,5.0,11.0,5.0,2.0,21.0,16.0,0.0,0.0,0.0,17.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,100.0
-Alessandro Deiola,it ITA,"MF,DF",Cagliari,28-039,1995,3.0,0.0,35.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.16,0.16,0.4,0.0,1.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,11.0,16.0,68.8,157.0,57.0,7.0,9.0,77.8,4.0,5.0,80.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,21.0,1.0,7.0,8.0,6.0,0.0,21.0,9.0,0.0,0.0,0.0,4.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,7.0,1.0,0.0,100.0
-Mattia Destro,it ITA,FW,Empoli,32-173,1991,1.0,0.0,19.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.13,0.13,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,3.0,3.0,100.0,33.0,7.0,2.0,2.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,2.0,2.0,0.0,4.0,4.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Federico Di Francesco,it ITA,"FW,MF",Lecce,29-087,1994,2.0,0.0,15.0,1.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,6.0,6.0,6.0,0.1,0.1,0.53,0.53,0.2,1.0,0.0,50.0,6.0,0.5,1.0,0.04,0.9,0.9,6.0,8.0,75.0,90.0,43.0,1.0,2.0,50.0,2.0,2.0,100.0,1.0,2.0,50.0,0.0,1.0,0.0,0.0,1.0,8.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,0.0,2.0,8.0,5.0,3.0,15.0,9.0,1.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Michele Di Gregorio,it ITA,GK,Monza,26-044,1997,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,105.0,134.0,78.4,2487.0,1416.0,22.0,23.0,95.7,57.0,57.0,100.0,24.0,51.0,47.1,0.0,2.0,0.0,0.0,0.0,105.0,28.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.33,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,143.0,112.0,143.0,0.0,0.0,0.0,143.0,84.0,0.0,0.0,0.0,81.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
-Giovanni Di Lorenzo,it ITA,DF,Napoli,30-036,1993,3.0,3.0,270.0,1.0,2.0,0.0,0.0,0.0,0.0,0.33,0.67,1.0,0.33,1.0,0.5,0.5,0.15,0.15,3.0,1.0,0.0,50.0,0.33,0.5,1.0,0.23,0.5,0.5,152.0,181.0,84.0,2237.0,773.0,92.0,98.0,93.9,47.0,62.0,75.8,10.0,14.0,71.4,10.0,14.0,11.0,4.0,13.0,157.0,23.0,2.0,1.0,0.0,15.0,0.0,0.0,0.0,0.0,21.0,1.0,3.0,16.0,5.33,15.0,0.0,0.0,0.0,2.0,0.67,2.0,0.0,0.0,0.0,0.0,8.0,7.0,5.0,3.0,0.0,0.0,0.0,0.0,1.0,2.0,0.0,200.0,3.0,35.0,96.0,70.0,12.0,200.0,129.0,13.0,4.0,4.0,150.0,2.0,1.0,0.0,2.0,2.0,1.0,0.0,0.0,0.0,8.0,0.0,2.0,0.0
-Alessandro Di Pardo,it ITA,"MF,DF",Cagliari,24-053,1999,3.0,0.0,135.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.05,0.05,1.5,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,38.0,54.0,70.4,604.0,271.0,21.0,25.0,84.0,15.0,19.0,78.9,1.0,5.0,20.0,1.0,2.0,2.0,1.0,5.0,51.0,3.0,0.0,0.0,1.0,6.0,0.0,0.0,0.0,0.0,3.0,0.0,3.0,1.0,0.67,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,2.0,1.0,1.0,2.0,2.0,0.0,69.0,7.0,27.0,24.0,19.0,1.0,69.0,43.0,1.0,0.0,0.0,34.0,1.0,2.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,15.0,1.0,1.0,50.0
-Boulaye Dia,sn SEN,"FW,DF",Salernitana,26-297,1996,2.0,1.0,115.0,1.0,0.0,0.0,0.0,0.0,0.0,0.78,0.0,0.78,0.78,0.78,0.3,0.3,0.22,0.22,1.3,1.0,0.0,100.0,0.78,1.0,1.0,0.29,0.7,0.7,18.0,21.0,85.7,336.0,90.0,11.0,13.0,84.6,4.0,5.0,80.0,3.0,3.0,100.0,1.0,4.0,1.0,0.0,3.0,19.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.78,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,31.0,1.0,1.0,14.0,16.0,4.0,31.0,19.0,0.0,2.0,2.0,23.0,2.0,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,6.0,14.3
-Federico Dimarco,it ITA,DF,Inter,25-303,1997,3.0,3.0,205.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.88,0.88,0.0,0.88,0.4,0.4,0.16,0.16,2.3,3.0,0.0,42.9,1.32,0.0,0.0,0.05,-0.4,-0.4,112.0,138.0,81.2,1747.0,696.0,60.0,65.0,92.3,35.0,42.0,83.3,10.0,22.0,45.5,9.0,7.0,11.0,5.0,19.0,116.0,22.0,2.0,0.0,2.0,23.0,7.0,0.0,7.0,0.0,13.0,0.0,1.0,21.0,9.22,16.0,3.0,1.0,0.0,3.0,1.32,2.0,0.0,1.0,0.0,0.0,7.0,5.0,3.0,3.0,1.0,1.0,0.0,1.0,2.0,3.0,0.0,161.0,4.0,22.0,59.0,84.0,8.0,161.0,101.0,6.0,2.0,0.0,109.0,4.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,16.0,0.0,1.0,0.0
-Berat Djimsiti,al ALB,DF,Atalanta,30-202,1993,3.0,3.0,254.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,119.0,135.0,88.1,2215.0,781.0,42.0,43.0,97.7,62.0,70.0,88.6,12.0,15.0,80.0,0.0,3.0,0.0,0.0,7.0,130.0,3.0,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.35,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,1.0,0.0,7.0,4.0,3.0,4.0,5.0,0.0,158.0,16.0,87.0,63.0,9.0,2.0,158.0,89.0,0.0,0.0,0.0,105.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,14.0,5.0,7.0,41.7
-Dodô,br BRA,DF,Fiorentina,24-296,1998,3.0,2.0,189.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,2.1,1.0,0.0,100.0,0.48,0.0,0.0,0.06,-0.1,-0.1,116.0,140.0,82.9,2167.0,690.0,43.0,49.0,87.8,57.0,66.0,86.4,14.0,19.0,73.7,3.0,11.0,3.0,1.0,18.0,120.0,19.0,4.0,0.0,1.0,5.0,0.0,0.0,0.0,0.0,15.0,1.0,0.0,3.0,1.43,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,2.0,0.0,1.0,0.0,1.0,2.0,4.0,0.0,155.0,6.0,33.0,88.0,35.0,1.0,155.0,111.0,7.0,3.0,1.0,111.0,1.0,0.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0
-Josh Doig,sct SCO,DF,Hellas Verona,21-114,2002,3.0,3.0,263.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.06,0.06,2.9,1.0,0.0,25.0,0.34,0.0,0.0,0.04,-0.2,-0.2,71.0,96.0,74.0,1321.0,469.0,25.0,29.0,86.2,38.0,46.0,82.6,6.0,13.0,46.2,1.0,6.0,1.0,1.0,4.0,72.0,23.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,23.0,1.0,2.0,3.0,1.03,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,3.0,0.0,3.0,0.0,8.0,0.0,122.0,5.0,26.0,66.0,31.0,7.0,122.0,57.0,4.0,3.0,1.0,67.0,3.0,1.0,0.0,2.0,1.0,1.0,0.0,1.0,0.0,9.0,3.0,1.0,75.0
-Nicolás Domínguez,ar ARG,MF,Bologna,25-073,1998,2.0,1.0,101.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,83.0,92.0,90.2,1276.0,370.0,45.0,49.0,91.8,36.0,40.0,90.0,2.0,2.0,100.0,1.0,5.0,1.0,0.0,9.0,90.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,2.0,1.78,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,3.0,0.0,3.0,0.0,2.0,0.0,103.0,2.0,23.0,69.0,12.0,0.0,103.0,39.0,1.0,2.0,0.0,79.0,1.0,3.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,7.0,1.0,0.0,100.0
-Patrick Dorgu,dk DEN,DF,Lecce,18-318,2004,3.0,1.0,123.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,1.4,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,64.0,78.0,82.1,933.0,253.0,33.0,36.0,91.7,26.0,31.0,83.9,1.0,3.0,33.3,1.0,2.0,1.0,0.0,4.0,55.0,23.0,2.0,0.0,0.0,4.0,4.0,0.0,0.0,0.0,17.0,0.0,3.0,6.0,4.39,2.0,3.0,1.0,0.0,1.0,0.73,0.0,0.0,1.0,0.0,0.0,3.0,2.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,89.0,1.0,26.0,34.0,30.0,2.0,89.0,52.0,1.0,1.0,0.0,49.0,1.0,0.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,10.0,1.0,5.0,16.7
-Alberto Dossena,it ITA,DF,Cagliari,24-331,1998,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,80.0,101.0,79.2,1654.0,655.0,24.0,29.0,82.8,44.0,52.0,84.6,11.0,15.0,73.3,0.0,8.0,0.0,0.0,9.0,98.0,3.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.33,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,4.0,5.0,0.0,0.0,8.0,5.0,3.0,4.0,16.0,1.0,140.0,32.0,93.0,46.0,3.0,0.0,140.0,63.0,0.0,0.0,0.0,53.0,2.0,1.0,0.0,4.0,2.0,0.0,0.0,0.0,0.0,30.0,6.0,8.0,42.9
-Radu Drăgușin,ro ROU,DF,Genoa,21-218,2002,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,65.0,83.0,78.3,1220.0,290.0,28.0,33.0,84.8,26.0,29.0,89.7,10.0,18.0,55.6,1.0,0.0,0.0,0.0,2.0,70.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.33,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,5.0,3.0,2.0,2.0,27.0,2.0,125.0,51.0,90.0,33.0,2.0,1.0,125.0,45.0,1.0,1.0,1.0,52.0,1.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,6.0,7.0,3.0,70.0
-Ondrej Duda,sk SVK,MF,Hellas Verona,28-278,1994,3.0,3.0,234.0,1.0,1.0,0.0,0.0,1.0,0.0,0.38,0.38,0.77,0.38,0.77,0.7,0.7,0.27,0.27,2.6,1.0,0.0,50.0,0.38,0.5,1.0,0.36,0.3,0.3,58.0,79.0,73.4,1121.0,359.0,23.0,29.0,79.3,24.0,27.0,88.9,11.0,19.0,57.9,7.0,7.0,2.0,0.0,9.0,67.0,11.0,7.0,2.0,2.0,8.0,4.0,3.0,1.0,0.0,0.0,1.0,4.0,9.0,3.48,5.0,3.0,0.0,0.0,1.0,0.39,1.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,2.0,0.0,3.0,1.0,2.0,4.0,4.0,0.0,104.0,6.0,30.0,57.0,20.0,2.0,104.0,48.0,1.0,0.0,0.0,41.0,5.0,0.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,20.0,0.0,3.0,0.0
-Denzel Dumfries,nl NED,DF,Inter,27-144,1996,3.0,3.0,205.0,1.0,1.0,0.0,0.0,0.0,0.0,0.44,0.44,0.88,0.44,0.88,0.5,0.5,0.2,0.2,2.3,1.0,0.0,20.0,0.44,0.2,1.0,0.09,0.5,0.5,61.0,85.0,71.8,937.0,238.0,29.0,35.0,82.9,25.0,38.0,65.8,3.0,6.0,50.0,7.0,3.0,5.0,2.0,6.0,72.0,13.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,13.0,0.0,0.0,8.0,3.51,7.0,0.0,1.0,0.0,1.0,0.44,1.0,0.0,0.0,0.0,0.0,4.0,2.0,2.0,2.0,0.0,3.0,2.0,1.0,0.0,3.0,0.0,114.0,4.0,19.0,53.0,43.0,10.0,114.0,72.0,4.0,4.0,1.0,77.0,6.0,2.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,9.0,2.0,2.0,50.0
-Alfred Duncan,gh GHA,MF,Fiorentina,30-183,1993,2.0,1.0,91.0,1.0,1.0,0.0,0.0,0.0,0.0,0.99,0.99,1.98,0.99,1.98,0.7,0.7,0.68,0.68,1.0,1.0,0.0,50.0,0.99,0.5,1.0,0.34,0.3,0.3,40.0,51.0,78.4,891.0,304.0,11.0,13.0,84.6,21.0,25.0,84.0,8.0,11.0,72.7,4.0,5.0,2.0,2.0,7.0,46.0,5.0,1.0,1.0,1.0,5.0,2.0,1.0,1.0,0.0,1.0,0.0,2.0,4.0,4.0,3.0,1.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,3.0,2.0,1.0,2.0,0.0,2.0,1.0,1.0,0.0,1.0,0.0,61.0,2.0,7.0,38.0,16.0,2.0,61.0,33.0,1.0,1.0,0.0,37.0,1.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,6.0,0.0,1.0,0.0
-Paulo Dybala,ar ARG,FW,Roma,29-298,1993,1.0,1.0,67.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.11,0.11,0.7,2.0,0.0,100.0,2.69,0.0,0.0,0.04,-0.1,-0.1,27.0,34.0,79.4,389.0,115.0,18.0,20.0,90.0,5.0,6.0,83.3,3.0,7.0,42.9,1.0,2.0,0.0,0.0,3.0,28.0,6.0,1.0,0.0,0.0,6.0,4.0,0.0,4.0,0.0,0.0,0.0,0.0,4.0,5.37,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,39.0,0.0,0.0,19.0,20.0,3.0,39.0,17.0,2.0,0.0,2.0,27.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,2.0,1.0,1.0,50.0
-Festy Ebosele,ie IRL,DF,Udinese,21-038,2002,3.0,1.0,101.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,1.1,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,20.0,27.0,74.1,272.0,72.0,13.0,14.0,92.9,5.0,7.0,71.4,1.0,2.0,50.0,1.0,1.0,1.0,0.0,2.0,24.0,3.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,3.0,0.0,2.0,4.0,3.56,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,5.0,0.0,0.0,2.0,0.0,2.0,0.0,1.0,0.0,42.0,3.0,13.0,11.0,19.0,2.0,42.0,26.0,8.0,1.0,2.0,25.0,4.0,2.0,0.0,2.0,2.0,0.0,0.0,1.0,0.0,4.0,0.0,2.0,0.0
-Tyronne Ebuehi,ng NGA,DF,Empoli,27-267,1995,2.0,2.0,180.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,66.0,93.0,71.0,1121.0,343.0,30.0,38.0,78.9,26.0,37.0,70.3,7.0,11.0,63.6,2.0,5.0,1.0,0.0,9.0,74.0,19.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,18.0,0.0,4.0,3.0,1.5,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,2.0,1.0,1.0,0.0,2.0,0.0,110.0,3.0,37.0,54.0,19.0,5.0,110.0,56.0,8.0,2.0,1.0,62.0,5.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,8.0,2.0,5.0,28.6
-Éderson,br BRA,MF,Atalanta,24-064,1999,3.0,2.0,225.0,1.0,1.0,0.0,0.0,0.0,0.0,0.4,0.4,0.8,0.4,0.8,0.4,0.4,0.14,0.14,2.5,2.0,0.0,40.0,0.8,0.2,0.5,0.07,0.6,0.6,132.0,152.0,86.8,2464.0,805.0,50.0,56.0,89.3,67.0,70.0,95.7,14.0,20.0,70.0,4.0,20.0,7.0,1.0,28.0,151.0,1.0,1.0,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,10.0,4.0,10.0,0.0,0.0,0.0,1.0,0.4,1.0,0.0,0.0,0.0,0.0,9.0,4.0,4.0,4.0,1.0,4.0,0.0,4.0,5.0,3.0,0.0,182.0,8.0,27.0,106.0,50.0,3.0,182.0,134.0,3.0,6.0,0.0,134.0,0.0,5.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,13.0,2.0,1.0,66.7
-Emmanuel Ekong,se SWE,FW,Empoli,21-076,2002,1.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,12.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,18.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,3.0,1.0,1.0,4.0,4.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Caleb Ekuban,gh GHA,"FW,DF",Genoa,29-170,1994,3.0,0.0,69.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.11,0.11,0.8,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,8.0,15.0,53.3,157.0,79.0,3.0,8.0,37.5,3.0,3.0,100.0,2.0,2.0,100.0,2.0,2.0,1.0,0.0,3.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,5.14,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,28.0,0.0,2.0,13.0,15.0,3.0,28.0,16.0,0.0,1.0,1.0,17.0,4.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,66.7
-Elif Elmas,mk MKD,"FW,MF",Napoli,23-350,1999,2.0,0.0,22.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.2,1.0,0.0,100.0,4.09,0.0,0.0,0.02,0.0,0.0,25.0,27.0,92.6,364.0,38.0,16.0,17.0,94.1,7.0,7.0,100.0,1.0,1.0,100.0,1.0,0.0,0.0,0.0,0.0,26.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,4.29,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,2.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,33.0,0.0,1.0,18.0,14.0,2.0,33.0,23.0,1.0,3.0,0.0,25.0,1.0,1.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
-Martin Erlic,hr CRO,DF,Sassuolo,25-228,1998,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,83.0,102.0,81.4,1457.0,552.0,40.0,41.0,97.6,34.0,46.0,73.9,8.0,14.0,57.1,0.0,1.0,0.0,0.0,4.0,95.0,7.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,4.0,9.0,0.0,0.0,6.0,3.0,3.0,4.0,11.0,0.0,135.0,25.0,85.0,48.0,2.0,2.0,135.0,44.0,0.0,1.0,1.0,64.0,1.0,0.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,11.0,7.0,1.0,87.5
-Giovanni Fabbian,it ITA,FW,Bologna,20-238,2003,2.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,18.0,0.0,18.0,18.0,18.0,0.6,0.6,11.64,11.64,0.1,1.0,0.0,100.0,18.0,1.0,1.0,0.65,0.4,0.4,1.0,3.0,33.3,7.0,0.0,1.0,3.0,33.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,2.0,1.0,1.0,4.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Nicolò Fagioli,it ITA,MF,Juventus,22-209,2001,2.0,1.0,110.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.18,0.18,1.2,1.0,1.0,25.0,0.82,0.0,0.0,0.06,-0.2,-0.2,45.0,51.0,88.2,802.0,263.0,22.0,22.0,100.0,16.0,17.0,94.1,6.0,10.0,60.0,0.0,6.0,3.0,1.0,8.0,46.0,5.0,0.0,0.0,1.0,5.0,3.0,0.0,3.0,0.0,2.0,0.0,0.0,4.0,3.27,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,62.0,0.0,4.0,27.0,31.0,2.0,62.0,41.0,2.0,1.0,1.0,46.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
-Wladimiro Falcone,it ITA,GK,Lecce,28-150,1995,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,54.0,82.0,65.9,1527.0,1248.0,15.0,15.0,100.0,18.0,18.0,100.0,18.0,45.0,40.0,0.0,0.0,0.0,0.0,0.0,53.0,28.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,87.0,83.0,87.0,0.0,0.0,0.0,87.0,48.0,0.0,0.0,0.0,36.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Davide Faraoni,it ITA,DF,Hellas Verona,31-319,1991,2.0,1.0,113.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.8,0.8,0.0,0.8,0.0,0.0,0.02,0.02,1.3,1.0,0.0,100.0,0.8,0.0,0.0,0.02,0.0,0.0,38.0,59.0,64.4,687.0,237.0,20.0,24.0,83.3,10.0,17.0,58.8,6.0,12.0,50.0,2.0,5.0,1.0,1.0,7.0,47.0,10.0,1.0,1.0,2.0,3.0,1.0,0.0,0.0,0.0,8.0,2.0,0.0,3.0,2.39,3.0,0.0,0.0,0.0,1.0,0.8,1.0,0.0,0.0,0.0,0.0,4.0,4.0,2.0,1.0,1.0,2.0,1.0,1.0,0.0,9.0,0.0,80.0,6.0,17.0,45.0,18.0,1.0,80.0,37.0,5.0,1.0,0.0,40.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,11.0,5.0,0.0,100.0
-Federico Fazio,ar ARG,DF,Salernitana,36-176,1987,1.0,1.0,90.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,49.0,62.0,79.0,795.0,381.0,24.0,26.0,92.3,20.0,26.0,76.9,3.0,7.0,42.9,0.0,3.0,0.0,0.0,2.0,60.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,2.0,2.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,2.0,2.0,0.0,68.0,3.0,35.0,31.0,2.0,1.0,68.0,49.0,0.0,0.0,0.0,45.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,8.0,4.0,1.0,80.0
-Jacopo Fazzini,it ITA,MF,Empoli,20-177,2003,2.0,1.0,105.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.14,0.14,1.2,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.2,-0.2,42.0,49.0,85.7,654.0,218.0,20.0,22.0,90.9,18.0,19.0,94.7,2.0,6.0,33.3,3.0,4.0,0.0,0.0,6.0,45.0,4.0,2.0,0.0,0.0,2.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,5.0,4.29,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,2.0,1.0,0.0,2.0,0.0,2.0,2.0,0.0,0.0,70.0,1.0,16.0,39.0,16.0,2.0,70.0,41.0,0.0,2.0,0.0,41.0,1.0,5.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,8.0,0.0,4.0,0.0
-Lewis Ferguson,sct SCO,MF,Bologna,24-016,1999,3.0,3.0,266.0,1.0,0.0,0.0,0.0,1.0,0.0,0.34,0.0,0.34,0.34,0.34,0.4,0.4,0.14,0.14,3.0,2.0,0.0,25.0,0.68,0.13,0.5,0.05,0.6,0.6,161.0,183.0,88.0,2107.0,436.0,100.0,107.0,93.5,46.0,53.0,86.8,2.0,4.0,50.0,2.0,8.0,4.0,0.0,11.0,183.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,7.0,2.37,7.0,0.0,0.0,0.0,1.0,0.34,1.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,1.0,1.0,2.0,0.0,2.0,0.0,2.0,0.0,207.0,5.0,23.0,119.0,65.0,11.0,207.0,111.0,4.0,2.0,2.0,171.0,2.0,1.0,0.0,7.0,2.0,0.0,0.0,0.0,0.0,13.0,3.0,6.0,33.3
-João Ferreira,pt POR,DF,Udinese,22-171,2001,3.0,2.0,169.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,1.9,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,52.0,64.0,81.3,912.0,331.0,27.0,30.0,90.0,20.0,23.0,87.0,4.0,9.0,44.4,1.0,3.0,1.0,1.0,2.0,50.0,14.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,14.0,0.0,1.0,3.0,1.6,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,2.0,1.0,1.0,2.0,0.0,2.0,3.0,2.0,0.0,82.0,4.0,21.0,34.0,27.0,1.0,82.0,46.0,2.0,3.0,0.0,38.0,4.0,3.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0
-Alessandro Florenzi,it ITA,DF,Milan,32-182,1991,1.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,5.0,100.0,96.0,22.0,2.0,2.0,100.0,2.0,2.0,100.0,1.0,1.0,100.0,0.0,1.0,0.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,3.0,2.0,0.0,0.0,5.0,3.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Michael Folorunsho,ng NGA,"MF,FW",Hellas Verona,25-214,1998,3.0,3.0,245.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,2.7,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,28.0,47.0,59.6,502.0,78.0,14.0,17.0,82.4,9.0,17.0,52.9,4.0,7.0,57.1,1.0,0.0,1.0,0.0,3.0,46.0,1.0,0.0,1.0,2.0,4.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,4.0,1.47,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,5.0,0.0,5.0,0.0,6.0,0.0,77.0,5.0,7.0,45.0,27.0,0.0,77.0,50.0,4.0,6.0,0.0,51.0,6.0,2.0,0.0,4.0,10.0,2.0,0.0,0.0,0.0,11.0,4.0,13.0,23.5
-Davide Frattesi,it ITA,MF,Inter,23-322,1999,3.0,0.0,63.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.09,0.09,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,15.0,17.0,88.2,197.0,59.0,9.0,9.0,100.0,4.0,5.0,80.0,1.0,1.0,100.0,0.0,1.0,1.0,0.0,2.0,16.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.43,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,3.0,0.0,24.0,3.0,6.0,12.0,6.0,1.0,24.0,16.0,3.0,1.0,1.0,17.0,0.0,1.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,100.0
-Morten Frendrup,dk DEN,MF,Genoa,22-155,2001,3.0,3.0,270.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.33,0.33,0.0,0.33,0.1,0.1,0.03,0.03,3.0,1.0,0.0,50.0,0.33,0.0,0.0,0.04,-0.1,-0.1,58.0,80.0,72.5,884.0,196.0,31.0,39.0,79.5,21.0,28.0,75.0,3.0,5.0,60.0,1.0,9.0,1.0,0.0,8.0,78.0,2.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,1.0,2.0,0.0,1.0,0.0,2.0,0.67,1.0,0.0,1.0,0.0,0.0,9.0,6.0,3.0,5.0,1.0,3.0,0.0,3.0,5.0,2.0,0.0,110.0,5.0,32.0,64.0,17.0,2.0,110.0,45.0,0.0,0.0,0.0,44.0,3.0,0.0,0.0,5.0,4.0,1.0,0.0,0.0,0.0,21.0,2.0,2.0,50.0
-Roberto Gagliardini,it ITA,MF,Monza,29-155,1994,3.0,3.0,225.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.1,0.1,2.5,2.0,0.0,40.0,0.8,0.0,0.0,0.05,-0.3,-0.3,136.0,150.0,90.7,2416.0,527.0,61.0,62.0,98.4,63.0,72.0,87.5,10.0,12.0,83.3,1.0,12.0,0.0,0.0,11.0,146.0,4.0,2.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,6.0,2.4,5.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,7.0,7.0,4.0,1.0,2.0,1.0,1.0,3.0,4.0,0.0,187.0,10.0,43.0,107.0,38.0,4.0,187.0,117.0,2.0,4.0,0.0,135.0,1.0,6.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,16.0,3.0,2.0,60.0
-Antonino Gallo,it ITA,DF,Lecce,23-247,2000,3.0,2.0,147.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.61,0.61,0.0,0.61,0.0,0.0,0.0,0.0,1.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,62.0,88.0,70.5,1122.0,461.0,26.0,32.0,81.3,29.0,37.0,78.4,5.0,14.0,35.7,3.0,7.0,6.0,3.0,16.0,67.0,21.0,3.0,0.0,1.0,6.0,1.0,0.0,0.0,0.0,17.0,0.0,3.0,5.0,3.06,5.0,0.0,0.0,0.0,2.0,1.22,2.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,2.0,0.0,3.0,0.0,3.0,1.0,6.0,0.0,108.0,7.0,30.0,48.0,30.0,1.0,108.0,56.0,2.0,2.0,1.0,58.0,2.0,0.0,0.0,1.0,2.0,1.0,0.0,0.0,0.0,6.0,3.0,0.0,100.0
-Luca Garritano,it ITA,"FW,MF",Frosinone,29-210,1994,2.0,0.0,32.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.38,0.38,0.4,1.0,0.0,25.0,2.81,0.0,0.0,0.03,-0.1,-0.1,7.0,13.0,53.8,130.0,45.0,3.0,4.0,75.0,3.0,5.0,60.0,1.0,4.0,25.0,1.0,1.0,0.0,0.0,0.0,11.0,2.0,0.0,0.0,0.0,3.0,2.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,5.63,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,21.0,0.0,6.0,7.0,9.0,2.0,21.0,11.0,1.0,0.0,0.0,8.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0
-Federico Gatti,it ITA,DF,Juventus,25-077,1998,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,29.0,31.0,93.5,490.0,209.0,15.0,15.0,100.0,10.0,11.0,90.9,4.0,5.0,80.0,0.0,2.0,0.0,0.0,2.0,30.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,4.0,0.0,43.0,5.0,20.0,20.0,4.0,3.0,43.0,23.0,0.0,1.0,0.0,26.0,1.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0,0.0,5.0,0.0,0.0,0.0
-Francesco Gelli,it ITA,"FW,MF",Frosinone,26-329,1996,3.0,3.0,270.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.06,0.06,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.2,-0.2,103.0,123.0,83.7,1362.0,364.0,69.0,71.0,97.2,24.0,29.0,82.8,4.0,10.0,40.0,2.0,6.0,5.0,1.0,11.0,111.0,12.0,4.0,0.0,0.0,9.0,8.0,3.0,2.0,0.0,0.0,0.0,5.0,5.0,1.67,3.0,1.0,1.0,0.0,1.0,0.33,0.0,1.0,0.0,0.0,0.0,3.0,1.0,2.0,1.0,0.0,3.0,1.0,2.0,3.0,2.0,0.0,157.0,3.0,39.0,68.0,52.0,6.0,157.0,96.0,6.0,2.0,1.0,114.0,9.0,4.0,0.0,5.0,4.0,0.0,0.0,0.0,0.0,12.0,2.0,2.0,50.0
-Valentin Gendrey,fr FRA,DF,Lecce,23-080,2000,3.0,3.0,244.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.37,0.37,0.0,0.37,0.1,0.1,0.02,0.02,2.7,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.1,-0.1,105.0,138.0,76.1,1637.0,930.0,62.0,70.0,88.6,38.0,47.0,80.9,5.0,15.0,33.3,3.0,10.0,1.0,1.0,13.0,101.0,37.0,2.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,35.0,0.0,5.0,5.0,1.84,5.0,0.0,0.0,0.0,1.0,0.37,1.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,2.0,0.0,8.0,0.0,8.0,4.0,9.0,0.0,168.0,12.0,56.0,78.0,35.0,2.0,168.0,78.0,5.0,4.0,0.0,70.0,1.0,2.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,19.0,4.0,1.0,80.0
-Olivier Giroud,fr FRA,FW,Milan,36-344,1986,3.0,3.0,206.0,4.0,1.0,3.0,3.0,0.0,0.0,1.75,0.44,2.18,0.44,0.87,2.7,0.3,1.17,0.14,2.3,2.0,0.0,66.7,0.87,0.33,0.5,0.1,1.3,0.7,30.0,46.0,65.2,362.0,64.0,19.0,27.0,70.4,7.0,11.0,63.6,0.0,0.0,0.0,5.0,3.0,0.0,0.0,3.0,42.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,5.0,2.18,5.0,0.0,0.0,0.0,1.0,0.44,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,60.0,0.0,3.0,34.0,23.0,8.0,57.0,32.0,0.0,1.0,1.0,46.0,3.0,2.0,0.0,2.0,5.0,2.0,0.0,0.0,0.0,1.0,3.0,1.0,75.0
-Edoardo Goldaniga,it ITA,DF,Cagliari,29-311,1993,1.0,1.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,17.0,82.4,227.0,94.0,7.0,7.0,100.0,6.0,7.0,85.7,1.0,3.0,33.3,0.0,1.0,1.0,0.0,1.0,17.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,2.0,1.0,0.0,0.0,0.0,0.0,1.0,2.0,0.0,22.0,2.0,9.0,11.0,2.0,0.0,22.0,9.0,0.0,0.0,0.0,12.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0
-Joan Gonzàlez,es ESP,MF,Lecce,21-220,2002,3.0,2.0,156.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,1.7,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,36.0,45.0,80.0,618.0,149.0,20.0,25.0,80.0,11.0,14.0,78.6,5.0,5.0,100.0,2.0,4.0,1.0,0.0,6.0,44.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,3.46,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,2.0,0.0,2.0,0.0,1.0,0.0,62.0,1.0,7.0,38.0,18.0,1.0,62.0,41.0,4.0,1.0,0.0,41.0,1.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,7.0,3.0,4.0,42.9
-Nicolás González,ar ARG,FW,Fiorentina,25-156,1998,3.0,3.0,215.0,2.0,0.0,0.0,0.0,0.0,0.0,0.84,0.0,0.84,0.84,0.84,0.4,0.4,0.16,0.16,2.4,3.0,0.0,50.0,1.26,0.33,0.67,0.06,1.6,1.6,59.0,83.0,71.1,1074.0,192.0,27.0,37.0,73.0,25.0,32.0,78.1,7.0,9.0,77.8,1.0,4.0,2.0,0.0,9.0,82.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,1.26,1.0,0.0,2.0,0.0,1.0,0.42,0.0,0.0,1.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,2.0,0.0,2.0,0.0,1.0,0.0,110.0,3.0,13.0,58.0,42.0,15.0,110.0,78.0,9.0,8.0,3.0,92.0,4.0,3.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,5.0,7.0,3.0,70.0
-Alberto Grassi,it ITA,MF,Empoli,28-186,1995,2.0,1.0,115.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,45.0,61.0,73.8,843.0,320.0,16.0,19.0,84.2,22.0,29.0,75.9,5.0,10.0,50.0,1.0,5.0,0.0,0.0,4.0,58.0,3.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.57,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,2.0,0.0,1.0,0.0,1.0,2.0,2.0,0.0,72.0,4.0,12.0,57.0,3.0,0.0,72.0,47.0,0.0,0.0,0.0,46.0,1.0,0.0,0.0,4.0,5.0,0.0,0.0,0.0,0.0,8.0,2.0,3.0,40.0
-Mattéo Guendouzi,fr FRA,MF,Lazio,24-148,1999,1.0,0.0,26.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.4,0.4,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.11,-0.1,-0.1,6.0,9.0,66.7,92.0,1.0,4.0,5.0,80.0,2.0,2.0,100.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,0.0,2.0,7.0,3.0,1.0,12.0,8.0,0.0,0.0,0.0,11.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,0.0
-Albert Guðmundsson,is ISL,"MF,FW",Genoa,26-086,1997,3.0,3.0,269.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,63.0,91.0,69.2,1143.0,373.0,26.0,29.0,89.7,27.0,33.0,81.8,8.0,17.0,47.1,7.0,7.0,5.0,4.0,11.0,77.0,12.0,7.0,0.0,0.0,13.0,3.0,0.0,3.0,0.0,0.0,2.0,7.0,6.0,2.01,4.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,2.0,1.0,0.0,3.0,0.0,3.0,3.0,1.0,0.0,119.0,2.0,19.0,59.0,46.0,5.0,119.0,68.0,7.0,7.0,1.0,75.0,4.0,2.0,0.0,3.0,3.0,1.0,0.0,0.0,0.0,14.0,1.0,1.0,50.0
-Emmanuel Gyasi,gh GHA,FW,Empoli,29-241,1994,3.0,2.0,146.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.22,0.22,1.6,0.0,0.0,0.0,0.0,0.0,0.0,0.18,-0.4,-0.4,21.0,28.0,75.0,256.0,35.0,15.0,18.0,83.3,4.0,6.0,66.7,0.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,28.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,1.23,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,43.0,2.0,6.0,15.0,22.0,4.0,43.0,31.0,3.0,4.0,0.0,36.0,2.0,4.0,0.0,4.0,5.0,2.0,0.0,0.0,0.0,5.0,0.0,4.0,0.0
-Norbert Gyömbér,sk SVK,DF,Salernitana,31-068,1992,3.0,3.0,270.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,103.0,119.0,86.6,1829.0,715.0,36.0,38.0,94.7,57.0,62.0,91.9,8.0,16.0,50.0,0.0,3.0,0.0,0.0,5.0,112.0,7.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.33,1.0,0.0,0.0,0.0,1.0,0.33,1.0,0.0,0.0,0.0,0.0,5.0,4.0,4.0,1.0,0.0,9.0,8.0,1.0,5.0,11.0,0.0,155.0,23.0,94.0,59.0,3.0,2.0,155.0,74.0,0.0,0.0,0.0,75.0,2.0,0.0,0.0,7.0,3.0,0.0,0.0,0.0,0.0,20.0,4.0,4.0,50.0
-Nicolas Haas,ch SUI,MF,Empoli,27-229,1996,1.0,1.0,90.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.1,0.1,1.0,1.0,0.0,100.0,1.0,0.0,0.0,0.1,-0.1,-0.1,46.0,51.0,90.2,865.0,312.0,20.0,21.0,95.2,21.0,21.0,100.0,5.0,6.0,83.3,0.0,7.0,1.0,0.0,6.0,50.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,3.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,1.0,2.0,2.0,1.0,0.0,1.0,1.0,1.0,0.0,63.0,4.0,15.0,36.0,12.0,1.0,63.0,35.0,0.0,1.0,0.0,41.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,9.0,3.0,0.0,100.0
-Abdou Harroui,nl NED,MF,Frosinone,25-239,1998,3.0,3.0,255.0,2.0,0.0,1.0,1.0,0.0,0.0,0.71,0.0,0.71,0.35,0.35,1.5,0.7,0.53,0.25,2.8,2.0,0.0,28.6,0.71,0.14,0.5,0.1,0.5,0.3,78.0,90.0,86.7,1088.0,239.0,46.0,49.0,93.9,22.0,27.0,81.5,4.0,5.0,80.0,3.0,5.0,2.0,0.0,8.0,82.0,6.0,1.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,10.0,3.53,8.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,5.0,1.0,5.0,0.0,4.0,0.0,4.0,2.0,0.0,0.0,130.0,1.0,19.0,68.0,46.0,11.0,129.0,70.0,9.0,7.0,2.0,82.0,6.0,2.0,0.0,3.0,3.0,1.0,0.0,0.0,0.0,16.0,2.0,3.0,40.0
-Silvan Hefti,ch SUI,"DF,MF",Genoa,25-319,1997,3.0,1.0,84.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,27.0,59.3,194.0,105.0,12.0,16.0,75.0,3.0,6.0,50.0,0.0,2.0,0.0,0.0,1.0,0.0,0.0,1.0,21.0,6.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,2.0,0.0,2.0,0.0,2.0,0.0,1.0,0.0,38.0,3.0,17.0,15.0,6.0,0.0,38.0,9.0,0.0,0.0,0.0,14.0,1.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,100.0
-Liam Henderson,sct SCO,MF,Empoli,27-137,1996,1.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,5.0,40.0,40.0,0.0,1.0,2.0,50.0,1.0,1.0,100.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,4.0,1.0,0.0,5.0,3.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Matheus Henrique,br BRA,MF,Sassuolo,25-264,1997,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.05,0.05,3.0,1.0,0.0,50.0,0.33,0.0,0.0,0.08,-0.2,-0.2,101.0,117.0,86.3,1733.0,667.0,44.0,50.0,88.0,39.0,43.0,90.7,9.0,14.0,64.3,2.0,11.0,1.0,0.0,10.0,115.0,2.0,1.0,0.0,6.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,5.0,1.67,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,5.0,3.0,4.0,0.0,1.0,0.0,1.0,3.0,4.0,0.0,139.0,8.0,37.0,70.0,33.0,2.0,139.0,79.0,5.0,1.0,0.0,104.0,3.0,3.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,11.0,2.0,0.0,100.0
-Theo Hernández,fr FRA,DF,Milan,25-338,1997,3.0,3.0,266.0,1.0,0.0,0.0,0.0,2.0,0.0,0.34,0.0,0.34,0.34,0.34,0.3,0.3,0.09,0.09,3.0,1.0,0.0,25.0,0.34,0.25,1.0,0.07,0.7,0.7,174.0,210.0,82.9,2575.0,642.0,91.0,101.0,90.1,70.0,75.0,93.3,8.0,18.0,44.4,1.0,7.0,2.0,0.0,9.0,188.0,22.0,11.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,11.0,0.0,8.0,5.0,1.69,4.0,0.0,1.0,0.0,1.0,0.34,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,3.0,2.0,0.0,230.0,4.0,60.0,133.0,39.0,5.0,230.0,158.0,9.0,10.0,1.0,173.0,2.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,17.0,2.0,0.0,100.0
-Isak Hien,se SWE,DF,Hellas Verona,24-239,1999,1.0,1.0,83.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,18.0,83.3,374.0,166.0,3.0,3.0,100.0,9.0,10.0,90.0,3.0,5.0,60.0,0.0,2.0,0.0,0.0,0.0,17.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,2.0,1.0,0.0,1.0,0.0,1.0,0.0,3.0,0.0,28.0,4.0,13.0,14.0,1.0,0.0,28.0,14.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0
-Emil Holm,se SWE,DF,Atalanta,23-119,2000,1.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.82,0.82,0.2,1.0,0.0,50.0,5.63,0.0,0.0,0.07,-0.1,-0.1,6.0,6.0,100.0,121.0,78.0,2.0,2.0,100.0,3.0,3.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,2.0,12.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,11.0,1.0,4.0,5.0,2.0,2.0,11.0,5.0,0.0,0.0,0.0,6.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,0.0,100.0
-Martin Hongla,cm CMR,MF,Hellas Verona,25-177,1998,3.0,3.0,215.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,41.0,56.0,73.2,843.0,233.0,16.0,21.0,76.2,16.0,18.0,88.9,9.0,16.0,56.3,0.0,4.0,0.0,0.0,6.0,52.0,3.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,1.26,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,2.0,2.0,0.0,2.0,2.0,0.0,2.0,6.0,0.0,74.0,8.0,22.0,50.0,3.0,0.0,74.0,44.0,1.0,1.0,0.0,38.0,0.0,1.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,12.0,1.0,1.0,50.0
-Sydney van Hooijdonk,nl NED,FW,Bologna,23-215,2000,1.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,50.0,14.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Elseid Hysaj,al ALB,DF,Lazio,29-201,1994,1.0,1.0,80.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,23.0,28.0,82.1,368.0,141.0,10.0,13.0,76.9,11.0,12.0,91.7,0.0,0.0,0.0,0.0,1.0,0.0,0.0,2.0,26.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,3.0,0.0,3.0,2.0,8.0,0.0,43.0,8.0,27.0,14.0,2.0,0.0,43.0,21.0,0.0,0.0,0.0,18.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,7.0,2.0,0.0,100.0
-Chukwubuikem Ikwuemesi,ng NGA,"FW,DF",Salernitana,22-035,2001,2.0,0.0,36.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,10.0,80.0,108.0,11.0,6.0,7.0,85.7,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,9.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,2.5,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,17.0,1.0,1.0,10.0,6.0,3.0,17.0,8.0,0.0,1.0,0.0,13.0,2.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,25.0
-Ivan Ilić,rs SRB,MF,Torino,22-176,2001,3.0,2.0,151.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.6,0.6,0.0,0.6,0.0,0.0,0.0,0.0,1.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,87.0,104.0,83.7,1573.0,459.0,40.0,45.0,88.9,36.0,41.0,87.8,10.0,14.0,71.4,4.0,7.0,3.0,0.0,10.0,89.0,13.0,8.0,0.0,1.0,7.0,5.0,5.0,0.0,0.0,0.0,2.0,1.0,6.0,3.58,4.0,2.0,0.0,0.0,1.0,0.6,1.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,111.0,2.0,10.0,79.0,25.0,1.0,111.0,58.0,5.0,4.0,0.0,78.0,1.0,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,9.0,2.0,0.0,100.0
-Samuel Iling-Junior,eng ENG,DF,Juventus,19-340,2003,2.0,0.0,46.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.96,1.96,0.0,1.96,0.1,0.1,0.21,0.21,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.11,-0.1,-0.1,16.0,24.0,66.7,211.0,48.0,12.0,13.0,92.3,3.0,5.0,60.0,1.0,3.0,33.3,1.0,0.0,1.0,1.0,2.0,20.0,4.0,0.0,0.0,0.0,4.0,2.0,2.0,0.0,0.0,2.0,0.0,4.0,2.0,3.91,2.0,0.0,0.0,0.0,1.0,1.96,1.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,1.0,0.0,3.0,1.0,2.0,0.0,0.0,0.0,36.0,1.0,12.0,8.0,16.0,1.0,36.0,14.0,4.0,1.0,0.0,21.0,2.0,0.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,2.0,1.0,1.0,50.0
-Ciro Immobile,it ITA,FW,Lazio,33-201,1990,3.0,3.0,269.0,1.0,0.0,0.0,0.0,1.0,0.0,0.33,0.0,0.33,0.33,0.33,1.1,1.1,0.37,0.37,3.0,2.0,0.0,50.0,0.67,0.25,0.5,0.28,-0.1,-0.1,64.0,89.0,71.9,897.0,152.0,32.0,45.0,71.1,24.0,31.0,77.4,3.0,5.0,60.0,3.0,4.0,3.0,0.0,8.0,84.0,5.0,0.0,2.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,4.0,1.34,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,113.0,1.0,9.0,54.0,52.0,16.0,113.0,54.0,1.0,2.0,1.0,88.0,9.0,3.0,0.0,2.0,4.0,1.0,0.0,0.0,0.0,4.0,0.0,2.0,0.0
-Gino Infantino,ar ARG,MF,Fiorentina,20-113,2003,3.0,0.0,47.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.04,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,25.0,31.0,80.6,443.0,83.0,13.0,15.0,86.7,9.0,11.0,81.8,3.0,3.0,100.0,0.0,3.0,0.0,0.0,5.0,28.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,3.75,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,36.0,0.0,1.0,24.0,11.0,1.0,36.0,31.0,0.0,1.0,0.0,29.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,3.0,25.0
-Gustav Isaksen,dk DEN,FW,Lazio,22-143,2001,3.0,0.0,63.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,23.0,56.5,211.0,26.0,5.0,8.0,62.5,8.0,9.0,88.9,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,23.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,31.0,2.0,5.0,9.0,18.0,6.0,31.0,19.0,2.0,2.0,2.0,21.0,1.0,2.0,0.0,1.0,2.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Ardian Ismajli,al ALB,DF,Empoli,26-344,1996,2.0,2.0,180.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,58.0,76.0,76.3,1147.0,453.0,13.0,18.0,72.2,42.0,46.0,91.3,3.0,10.0,30.0,0.0,1.0,0.0,0.0,2.0,68.0,8.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,3.0,0.0,7.0,0.0,93.0,11.0,55.0,38.0,1.0,1.0,93.0,31.0,0.0,0.0,0.0,38.0,0.0,0.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,10.0,9.0,5.0,64.3
-Armando Izzo,it ITA,DF,Monza,31-191,1992,2.0,2.0,160.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,124.0,141.0,87.9,2039.0,550.0,58.0,60.0,96.7,57.0,65.0,87.7,7.0,12.0,58.3,0.0,4.0,0.0,0.0,5.0,131.0,10.0,6.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,2.0,1.13,2.0,0.0,0.0,0.0,1.0,0.56,1.0,0.0,0.0,0.0,0.0,5.0,3.0,3.0,2.0,0.0,4.0,2.0,2.0,3.0,2.0,1.0,158.0,15.0,74.0,72.0,13.0,2.0,158.0,95.0,3.0,1.0,0.0,117.0,2.0,0.0,0.0,4.0,2.0,0.0,0.0,0.0,0.0,18.0,0.0,3.0,0.0
-Filip Jagiełło,pl POL,MF,Genoa,26-032,1997,2.0,0.0,33.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,17.0,88.2,287.0,13.0,5.0,5.0,100.0,9.0,9.0,100.0,1.0,2.0,50.0,0.0,0.0,0.0,0.0,2.0,17.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,2.73,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,20.0,2.0,6.0,8.0,7.0,0.0,20.0,16.0,1.0,3.0,0.0,16.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
-Jakub Jankto,cz CZE,"MF,FW",Cagliari,27-233,1996,3.0,2.0,153.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.05,0.05,1.7,1.0,0.0,100.0,0.59,0.0,0.0,0.09,-0.1,-0.1,28.0,43.0,65.1,396.0,95.0,16.0,16.0,100.0,9.0,17.0,52.9,1.0,5.0,20.0,1.0,2.0,1.0,0.0,4.0,39.0,4.0,0.0,0.0,0.0,4.0,2.0,1.0,1.0,0.0,2.0,0.0,3.0,5.0,2.94,4.0,0.0,0.0,0.0,1.0,0.59,1.0,0.0,0.0,0.0,0.0,4.0,3.0,3.0,1.0,0.0,0.0,0.0,0.0,2.0,9.0,0.0,67.0,7.0,21.0,25.0,21.0,2.0,67.0,31.0,2.0,3.0,0.0,36.0,2.0,1.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,6.0,2.0,2.0,50.0
-Juan Jesus,br BRA,DF,Napoli,32-091,1991,3.0,3.0,269.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.1,0.1,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.31,-0.3,-0.3,221.0,237.0,93.2,4051.0,1401.0,76.0,78.0,97.4,128.0,132.0,97.0,14.0,23.0,60.9,1.0,2.0,0.0,0.0,9.0,233.0,3.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,1.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,1.0,5.0,0.0,1.0,2.0,2.0,0.0,3.0,5.0,0.0,257.0,12.0,133.0,120.0,4.0,2.0,257.0,182.0,0.0,0.0,0.0,199.0,0.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,18.0,4.0,2.0,66.7
-Mohamed Kaba,fr FRA,MF,Lecce,21-317,2001,3.0,1.0,132.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,1.5,1.0,0.0,100.0,0.68,0.0,0.0,0.06,-0.1,-0.1,33.0,43.0,76.7,535.0,200.0,16.0,20.0,80.0,15.0,19.0,78.9,1.0,1.0,100.0,1.0,3.0,0.0,0.0,7.0,41.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.68,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,2.0,0.0,1.0,3.0,0.0,3.0,1.0,2.0,0.0,61.0,3.0,12.0,36.0,13.0,1.0,61.0,29.0,2.0,0.0,0.0,35.0,6.0,1.0,0.0,6.0,4.0,0.0,0.0,0.0,0.0,8.0,10.0,4.0,71.4
-Christian Kabasele,be BEL,DF,Udinese,32-197,1991,3.0,3.0,270.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,3.0,1.0,0.0,100.0,0.33,0.0,0.0,0.07,-0.1,-0.1,119.0,147.0,81.0,2132.0,682.0,46.0,54.0,85.2,59.0,68.0,86.8,10.0,17.0,58.8,0.0,12.0,0.0,0.0,8.0,129.0,18.0,5.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,2.0,0.67,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,1.0,2.0,0.0,6.0,2.0,4.0,3.0,7.0,0.0,170.0,22.0,69.0,94.0,8.0,1.0,170.0,91.0,3.0,2.0,0.0,99.0,3.0,0.0,0.0,8.0,1.0,0.0,0.0,0.0,0.0,13.0,8.0,1.0,88.9
-Pierre Kalulu,fr FRA,DF,Milan,23-096,2000,2.0,0.0,44.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,15.0,80.0,253.0,113.0,2.0,3.0,66.7,7.0,7.0,100.0,2.0,3.0,66.7,0.0,0.0,0.0,0.0,0.0,14.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,1.0,1.0,19.0,4.0,15.0,4.0,0.0,0.0,19.0,12.0,0.0,0.0,0.0,11.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,50.0
-Daichi Kamada,jp JPN,MF,Lazio,27-035,1996,3.0,3.0,183.0,1.0,0.0,0.0,0.0,0.0,0.0,0.49,0.0,0.49,0.49,0.49,0.3,0.3,0.14,0.14,2.0,1.0,0.0,25.0,0.49,0.25,1.0,0.07,0.7,0.7,74.0,92.0,80.4,1106.0,192.0,41.0,46.0,89.1,28.0,32.0,87.5,3.0,8.0,37.5,1.0,8.0,1.0,0.0,9.0,90.0,2.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,1.0,0.49,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,6.0,0.0,0.0,3.0,1.0,2.0,1.0,2.0,0.0,114.0,5.0,22.0,66.0,26.0,5.0,114.0,63.0,1.0,0.0,1.0,83.0,2.0,3.0,0.0,9.0,1.0,0.0,0.0,0.0,0.0,6.0,1.0,1.0,50.0
-Hassane Kamara,ci CIV,DF,Udinese,29-188,1994,3.0,3.0,186.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,2.1,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,58.0,75.0,77.3,1021.0,365.0,23.0,27.0,85.2,26.0,32.0,81.3,6.0,10.0,60.0,3.0,2.0,5.0,5.0,7.0,58.0,16.0,1.0,0.0,0.0,11.0,0.0,0.0,0.0,0.0,15.0,1.0,1.0,7.0,3.39,6.0,0.0,0.0,0.0,1.0,0.48,1.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,97.0,4.0,19.0,36.0,44.0,3.0,97.0,56.0,6.0,3.0,1.0,58.0,1.0,3.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,9.0,3.0,2.0,60.0
-Yann Karamoh,fr FRA,MF,Torino,25-063,1998,2.0,1.0,77.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.05,0.05,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,18.0,23.0,78.3,270.0,66.0,11.0,14.0,78.6,6.0,6.0,100.0,1.0,2.0,50.0,0.0,2.0,0.0,0.0,1.0,23.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.17,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,35.0,0.0,1.0,13.0,23.0,4.0,35.0,26.0,3.0,4.0,2.0,31.0,3.0,2.0,0.0,1.0,2.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,50.0
-Jesper Karlsson,se SWE,FW,Bologna,25-046,1998,2.0,1.0,116.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.28,0.28,1.3,2.0,1.0,66.7,1.55,0.0,0.0,0.12,-0.4,-0.4,37.0,55.0,67.3,725.0,150.0,17.0,25.0,68.0,13.0,16.0,81.3,6.0,9.0,66.7,2.0,6.0,3.0,0.0,9.0,48.0,7.0,2.0,0.0,0.0,5.0,4.0,3.0,0.0,0.0,1.0,0.0,3.0,7.0,5.43,5.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,61.0,1.0,8.0,20.0,34.0,4.0,61.0,40.0,1.0,1.0,2.0,43.0,1.0,2.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,1.0,0.0
-Rick Karsdorp,nl NED,"DF,FW",Roma,28-210,1995,2.0,0.0,66.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,34.0,43.0,79.1,600.0,223.0,15.0,16.0,93.8,13.0,16.0,81.3,4.0,7.0,57.1,1.0,1.0,2.0,1.0,2.0,35.0,8.0,1.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,3.0,4.09,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,46.0,2.0,14.0,14.0,19.0,1.0,46.0,28.0,3.0,2.0,0.0,29.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
-Grigoris Kastanos,cy CYP,"MF,DF",Salernitana,25-222,1998,3.0,3.0,222.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.05,0.05,2.5,2.0,0.0,50.0,0.81,0.0,0.0,0.03,-0.1,-0.1,60.0,88.0,68.2,880.0,316.0,32.0,37.0,86.5,15.0,25.0,60.0,7.0,12.0,58.3,1.0,7.0,1.0,0.0,9.0,74.0,14.0,1.0,1.0,1.0,4.0,6.0,0.0,1.0,0.0,7.0,0.0,6.0,4.0,1.61,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,1.0,0.0,2.0,2.0,1.0,1.0,3.0,2.0,0.0,116.0,2.0,19.0,64.0,34.0,0.0,116.0,74.0,4.0,5.0,0.0,75.0,0.0,8.0,0.0,2.0,6.0,0.0,0.0,0.0,0.0,12.0,2.0,12.0,14.3
-Michael Kayode,it ITA,DF,Fiorentina,19-061,2004,1.0,1.0,81.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,57.0,69.0,82.6,986.0,297.0,33.0,35.0,94.3,17.0,19.0,89.5,7.0,9.0,77.8,0.0,1.0,1.0,0.0,3.0,59.0,10.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,10.0,0.0,5.0,1.0,1.11,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,83.0,7.0,42.0,31.0,12.0,4.0,83.0,43.0,5.0,3.0,2.0,50.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,4.0,1.0,80.0
-Moise Kean,it ITA,FW,Juventus,23-193,2000,1.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.9,0.9,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.1,-0.1,1.0,1.0,100.0,39.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,22.5,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
-Simon Kjær,dk DEN,DF,Milan,34-167,1989,2.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,15.0,80.0,217.0,96.0,5.0,5.0,100.0,6.0,7.0,85.7,1.0,3.0,33.3,0.0,0.0,0.0,0.0,1.0,13.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,16.0,0.0,9.0,8.0,0.0,0.0,16.0,10.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,100.0
-Sead Kolašinac,ba BIH,DF,Atalanta,30-081,1993,3.0,3.0,269.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,3.0,1.0,0.0,100.0,0.33,0.0,0.0,0.03,0.0,0.0,140.0,170.0,82.4,2072.0,633.0,79.0,91.0,86.8,53.0,60.0,88.3,5.0,12.0,41.7,1.0,12.0,0.0,0.0,14.0,163.0,6.0,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,3.0,1.0,3.0,5.0,1.67,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,2.0,2.0,0.0,3.0,0.0,3.0,3.0,3.0,0.0,185.0,4.0,60.0,85.0,40.0,2.0,185.0,123.0,6.0,9.0,1.0,126.0,1.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,22.0,3.0,5.0,37.5
-Teun Koopmeiners,nl NED,MF,Atalanta,25-193,1998,3.0,3.0,266.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.34,0.34,0.0,0.34,0.4,0.4,0.15,0.15,3.0,2.0,0.0,28.6,0.68,0.0,0.0,0.06,-0.4,-0.4,135.0,175.0,77.1,2518.0,1010.0,52.0,60.0,86.7,65.0,75.0,86.7,15.0,29.0,51.7,10.0,13.0,10.0,3.0,25.0,152.0,21.0,4.0,0.0,3.0,23.0,14.0,5.0,5.0,0.0,0.0,2.0,4.0,21.0,7.11,15.0,3.0,0.0,0.0,2.0,0.68,2.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,201.0,2.0,28.0,83.0,92.0,12.0,201.0,129.0,13.0,7.0,3.0,150.0,3.0,0.0,0.0,6.0,5.0,0.0,0.0,0.0,0.0,17.0,1.0,1.0,50.0
-Filip Kostić,rs SRB,DF,Juventus,30-312,1992,1.0,1.0,70.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,0.8,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,38.0,48.0,79.2,637.0,169.0,19.0,22.0,86.4,17.0,20.0,85.0,2.0,4.0,50.0,2.0,1.0,2.0,2.0,2.0,41.0,7.0,1.0,0.0,0.0,7.0,2.0,0.0,2.0,0.0,4.0,0.0,3.0,2.0,2.57,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,0.0,1.0,2.0,1.0,1.0,0.0,0.0,0.0,54.0,1.0,12.0,16.0,26.0,3.0,54.0,25.0,5.0,5.0,1.0,38.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
-Christian Kouamé,ci CIV,"FW,MF",Fiorentina,25-277,1997,2.0,1.0,53.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.21,0.21,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.13,-0.1,-0.1,12.0,18.0,66.7,150.0,39.0,9.0,11.0,81.8,3.0,4.0,75.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,18.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,26.0,0.0,5.0,15.0,6.0,2.0,26.0,16.0,0.0,1.0,0.0,17.0,2.0,2.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,3.0,5.0,1.0,83.3
-Viktor Kovalenko,ua UKR,MF,Empoli,27-207,1996,1.0,0.0,19.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,14.0,64.3,121.0,34.0,5.0,7.0,71.4,4.0,6.0,66.7,0.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,14.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,18.0,1.0,3.0,9.0,6.0,0.0,18.0,9.0,1.0,0.0,0.0,11.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Nikola Krstović,me MNE,"FW,MF",Lecce,23-157,2000,2.0,1.0,89.0,2.0,0.0,0.0,0.0,0.0,0.0,2.02,0.0,2.02,2.02,2.02,0.5,0.5,0.47,0.47,1.0,2.0,0.0,33.3,2.02,0.33,1.0,0.08,1.5,1.5,21.0,30.0,70.0,313.0,63.0,12.0,14.0,85.7,4.0,6.0,66.7,3.0,4.0,75.0,2.0,3.0,1.0,0.0,3.0,29.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,4.04,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,42.0,3.0,6.0,22.0,14.0,8.0,42.0,19.0,2.0,2.0,1.0,30.0,1.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,5.0,7.0,2.0,77.8
-Rade Krunić,ba BIH,MF,Milan,29-337,1993,3.0,3.0,270.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,167.0,177.0,94.4,2548.0,481.0,88.0,91.0,96.7,67.0,72.0,93.1,8.0,8.0,100.0,1.0,5.0,1.0,0.0,5.0,168.0,9.0,8.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,3.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,1.0,2.0,0.0,2.0,0.0,2.0,5.0,7.0,0.0,199.0,12.0,63.0,126.0,11.0,2.0,199.0,113.0,2.0,2.0,0.0,139.0,2.0,1.0,0.0,3.0,4.0,0.0,0.0,0.0,0.0,18.0,2.0,4.0,33.3
-Berkan Kutlu,tr TUR,MF,Genoa,25-227,1998,1.0,0.0,33.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.12,0.12,0.4,1.0,0.0,100.0,2.73,0.0,0.0,0.05,0.0,0.0,5.0,11.0,45.5,79.0,7.0,3.0,5.0,60.0,2.0,3.0,66.7,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,2.73,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,12.0,0.0,3.0,5.0,5.0,0.0,12.0,6.0,3.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Khvicha Kvaratskhelia,ge GEO,FW,Napoli,22-209,2001,2.0,1.0,95.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.95,0.95,0.0,0.95,0.3,0.3,0.27,0.27,1.1,1.0,0.0,14.3,0.95,0.0,0.0,0.04,-0.3,-0.3,46.0,57.0,80.7,663.0,202.0,26.0,28.0,92.9,14.0,17.0,82.4,3.0,6.0,50.0,6.0,2.0,4.0,0.0,8.0,54.0,2.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,10.0,9.47,7.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,73.0,0.0,2.0,28.0,45.0,13.0,73.0,53.0,8.0,3.0,4.0,58.0,2.0,1.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Giorgi Kvernadze,ge GEO,FW,Frosinone,20-214,2003,1.0,0.0,24.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,8.0,100.0,125.0,41.0,4.0,4.0,100.0,4.0,4.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,7.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,14.0,0.0,3.0,9.0,2.0,0.0,14.0,10.0,0.0,1.0,0.0,11.0,2.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Giorgos Kyriakopoulos,gr GRE,DF,Monza,27-216,1996,1.0,1.0,85.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.14,0.14,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.1,-0.1,46.0,51.0,90.2,838.0,177.0,22.0,22.0,100.0,16.0,17.0,94.1,6.0,7.0,85.7,2.0,3.0,2.0,2.0,3.0,42.0,9.0,1.0,0.0,0.0,6.0,1.0,0.0,1.0,0.0,7.0,0.0,3.0,4.0,4.24,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,54.0,1.0,5.0,28.0,21.0,2.0,54.0,34.0,3.0,1.0,0.0,42.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
-Armand Lauriente,fr FRA,FW,Sassuolo,24-279,1998,3.0,3.0,235.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.38,0.38,0.0,0.38,0.2,0.2,0.07,0.07,2.6,2.0,1.0,28.6,0.77,0.0,0.0,0.03,-0.2,-0.2,66.0,89.0,74.2,911.0,350.0,44.0,53.0,83.0,17.0,24.0,70.8,3.0,6.0,50.0,4.0,5.0,2.0,0.0,5.0,76.0,13.0,1.0,1.0,0.0,13.0,12.0,8.0,0.0,0.0,0.0,0.0,3.0,8.0,3.06,4.0,3.0,0.0,1.0,1.0,0.38,1.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,2.0,0.0,2.0,2.0,1.0,0.0,120.0,0.0,9.0,43.0,73.0,9.0,120.0,77.0,11.0,10.0,4.0,80.0,5.0,5.0,0.0,2.0,6.0,0.0,0.0,0.0,0.0,17.0,0.0,2.0,0.0
-Valentino Lazaro,at AUT,DF,Torino,27-169,1996,2.0,0.0,41.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,26.0,65.4,344.0,210.0,8.0,8.0,100.0,6.0,12.0,50.0,3.0,6.0,50.0,1.0,4.0,0.0,0.0,3.0,22.0,4.0,2.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,2.2,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,27.0,0.0,5.0,14.0,9.0,0.0,27.0,19.0,2.0,0.0,0.0,18.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,1.0,66.7
-Manuel Lazzari,it ITA,DF,Lazio,29-284,1993,2.0,2.0,161.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.08,0.08,1.8,1.0,0.0,25.0,0.56,0.0,0.0,0.04,-0.1,-0.1,99.0,122.0,81.1,1454.0,348.0,56.0,59.0,94.9,39.0,47.0,83.0,3.0,5.0,60.0,2.0,4.0,3.0,2.0,8.0,107.0,15.0,1.0,0.0,0.0,12.0,0.0,0.0,0.0,0.0,14.0,0.0,7.0,2.0,1.12,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,1.0,1.0,3.0,1.0,2.0,1.0,6.0,0.0,142.0,4.0,20.0,73.0,52.0,5.0,142.0,89.0,14.0,6.0,1.0,94.0,2.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,12.0,1.0,2.0,33.3
-Rafael Leão,pt POR,FW,Milan,24-091,1999,3.0,3.0,231.0,1.0,1.0,0.0,0.0,0.0,0.0,0.39,0.39,0.78,0.39,0.78,0.7,0.7,0.29,0.29,2.6,2.0,0.0,33.3,0.78,0.17,0.5,0.12,0.3,0.3,53.0,76.0,69.7,836.0,280.0,27.0,34.0,79.4,23.0,33.0,69.7,3.0,6.0,50.0,7.0,7.0,6.0,2.0,14.0,73.0,3.0,1.0,2.0,0.0,7.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,12.0,4.68,9.0,0.0,0.0,1.0,3.0,1.17,2.0,0.0,0.0,1.0,0.0,3.0,3.0,1.0,1.0,1.0,3.0,0.0,3.0,0.0,0.0,0.0,111.0,0.0,6.0,49.0,58.0,23.0,111.0,84.0,13.0,5.0,11.0,93.0,5.0,8.0,0.0,1.0,8.0,2.0,1.0,0.0,0.0,6.0,2.0,4.0,33.3
-Jesper Lindstrøm,dk DEN,FW,Napoli,23-192,2000,1.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.16,0.16,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,8.0,11.0,72.7,91.0,26.0,6.0,6.0,100.0,2.0,3.0,66.7,0.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,10.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,0.0,0.0,4.0,13.0,1.0,17.0,8.0,0.0,0.0,0.0,11.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
-Karol Linetty,pl POL,MF,Torino,28-219,1995,3.0,1.0,142.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,1.6,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,65.0,80.0,81.3,1152.0,303.0,33.0,36.0,91.7,21.0,25.0,84.0,9.0,13.0,69.2,1.0,11.0,1.0,0.0,13.0,75.0,5.0,1.0,0.0,1.0,4.0,3.0,0.0,3.0,0.0,1.0,0.0,1.0,2.0,1.27,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,3.0,1.0,0.0,95.0,1.0,8.0,67.0,22.0,2.0,95.0,64.0,5.0,5.0,0.0,61.0,3.0,2.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,11.0,2.0,0.0,100.0
-Diego Llorente,es ESP,DF,Roma,30-024,1993,3.0,3.0,225.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.0,0.4,0.0,0.0,0.0,0.0,2.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,137.0,164.0,83.5,2425.0,818.0,61.0,63.0,96.8,62.0,72.0,86.1,13.0,23.0,56.5,1.0,8.0,1.0,0.0,12.0,157.0,7.0,4.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,5.0,2.0,4.0,0.0,0.0,1.0,1.0,0.4,1.0,0.0,0.0,0.0,0.0,5.0,3.0,2.0,3.0,0.0,1.0,0.0,1.0,2.0,0.0,0.0,177.0,8.0,68.0,92.0,17.0,1.0,177.0,116.0,8.0,3.0,0.0,127.0,3.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,10.0,9.0,5.0,64.3
-Stanislav Lobotka,sk SVK,MF,Napoli,28-288,1994,3.0,3.0,262.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,2.9,1.0,0.0,25.0,0.34,0.0,0.0,0.02,-0.1,-0.1,197.0,207.0,95.2,2915.0,1015.0,112.0,117.0,95.7,69.0,72.0,95.8,9.0,11.0,81.8,0.0,21.0,3.0,0.0,17.0,205.0,2.0,2.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,3.78,9.0,0.0,0.0,1.0,1.0,0.34,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,2.0,1.0,0.0,0.0,224.0,3.0,39.0,150.0,36.0,1.0,224.0,156.0,3.0,6.0,0.0,185.0,3.0,0.0,0.0,2.0,7.0,0.0,0.0,0.0,0.0,23.0,1.0,0.0,100.0
-Manuel Locatelli,it ITA,MF,Juventus,25-244,1998,3.0,3.0,261.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,152.0,181.0,84.0,2973.0,790.0,60.0,68.0,88.2,71.0,74.0,95.9,20.0,31.0,64.5,3.0,15.0,4.0,1.0,17.0,170.0,10.0,9.0,1.0,4.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,3.0,5.0,1.72,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,3.0,0.0,5.0,3.0,2.0,2.0,6.0,0.0,201.0,9.0,44.0,125.0,34.0,3.0,201.0,112.0,3.0,5.0,1.0,149.0,1.0,2.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,16.0,1.0,2.0,33.3
-Ruben Loftus-Cheek,eng ENG,MF,Milan,27-229,1996,3.0,3.0,201.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.45,0.45,0.0,0.45,0.3,0.3,0.14,0.14,2.2,1.0,0.0,25.0,0.45,0.0,0.0,0.08,-0.3,-0.3,63.0,81.0,77.8,766.0,236.0,46.0,54.0,85.2,16.0,20.0,80.0,0.0,3.0,0.0,4.0,5.0,0.0,0.0,9.0,80.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,8.0,3.58,5.0,0.0,1.0,1.0,4.0,1.79,1.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,2.0,2.0,0.0,2.0,1.0,0.0,106.0,2.0,13.0,67.0,28.0,8.0,106.0,64.0,12.0,8.0,2.0,70.0,6.0,2.0,0.0,4.0,3.0,0.0,1.0,0.0,0.0,13.0,2.0,1.0,66.7
-Ademola Lookman,ng NGA,FW,Atalanta,25-324,1997,3.0,2.0,115.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.31,0.31,1.3,1.0,0.0,25.0,0.78,0.0,0.0,0.1,-0.4,-0.4,25.0,36.0,69.4,420.0,104.0,13.0,15.0,86.7,7.0,12.0,58.3,2.0,3.0,66.7,2.0,0.0,4.0,0.0,7.0,34.0,2.0,0.0,0.0,0.0,5.0,2.0,0.0,2.0,0.0,0.0,0.0,3.0,6.0,4.7,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,45.0,0.0,1.0,18.0,26.0,6.0,45.0,32.0,5.0,2.0,2.0,39.0,2.0,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
-Maxime Lopez,fr FRA,MF,Sassuolo,25-279,1997,2.0,2.0,140.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,124.0,136.0,91.2,2097.0,777.0,46.0,48.0,95.8,61.0,64.0,95.3,9.0,15.0,60.0,3.0,23.0,2.0,0.0,18.0,134.0,2.0,2.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,3.21,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,2.0,0.0,0.0,144.0,10.0,38.0,89.0,19.0,0.0,144.0,107.0,2.0,4.0,0.0,125.0,1.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,10.0,0.0,1.0,0.0
-Matteo Lovato,it ITA,DF,Salernitana,23-207,2000,3.0,3.0,270.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,91.0,109.0,83.5,1788.0,939.0,31.0,35.0,88.6,47.0,53.0,88.7,11.0,17.0,64.7,0.0,11.0,0.0,0.0,11.0,101.0,6.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.33,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,5.0,0.0,1.0,3.0,1.0,2.0,3.0,10.0,0.0,139.0,16.0,65.0,72.0,4.0,1.0,139.0,64.0,0.0,0.0,0.0,78.0,1.0,2.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,7.0,6.0,3.0,66.7
-Sandi Lovrić,si SVN,MF,Udinese,25-165,1998,3.0,3.0,261.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.8,0.27,0.27,2.9,4.0,0.0,57.1,1.38,0.0,0.0,0.11,-0.8,-0.8,84.0,100.0,84.0,1410.0,321.0,49.0,53.0,92.5,20.0,24.0,83.3,11.0,15.0,73.3,6.0,8.0,2.0,2.0,8.0,86.0,14.0,4.0,0.0,2.0,13.0,7.0,3.0,1.0,0.0,3.0,0.0,2.0,14.0,4.83,10.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,3.0,0.0,3.0,0.0,2.0,0.0,128.0,3.0,10.0,58.0,61.0,6.0,128.0,81.0,7.0,6.0,2.0,86.0,5.0,2.0,0.0,4.0,3.0,0.0,0.0,0.0,0.0,16.0,0.0,3.0,0.0
-Lorenzo Lucca,it ITA,FW,Udinese,22-364,2000,3.0,2.0,156.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.58,0.58,0.0,0.58,0.4,0.4,0.24,0.24,1.7,2.0,0.0,66.7,1.15,0.0,0.0,0.14,-0.4,-0.4,20.0,36.0,55.6,234.0,26.0,7.0,16.0,43.8,6.0,11.0,54.5,0.0,0.0,0.0,4.0,1.0,1.0,0.0,2.0,33.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,5.0,2.88,4.0,0.0,0.0,1.0,1.0,0.58,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,59.0,0.0,0.0,25.0,34.0,10.0,59.0,42.0,1.0,2.0,1.0,54.0,7.0,0.0,0.0,4.0,5.0,0.0,0.0,0.0,0.0,4.0,6.0,5.0,54.5
-Jhon Lucumí,co COL,DF,Bologna,25-075,1998,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.05,0.05,3.0,1.0,0.0,33.3,0.33,0.0,0.0,0.05,-0.2,-0.2,198.0,212.0,93.4,3679.0,1153.0,77.0,81.0,95.1,99.0,101.0,98.0,19.0,24.0,79.2,1.0,21.0,0.0,0.0,12.0,204.0,8.0,5.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,5.0,7.0,4.0,0.0,5.0,2.0,3.0,0.0,6.0,0.0,240.0,25.0,86.0,146.0,9.0,2.0,240.0,159.0,2.0,4.0,0.0,181.0,1.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,19.0,5.0,2.0,71.4
-José Luis Palomino,ar ARG,DF,Atalanta,33-247,1990,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,7.0,100.0,125.0,54.0,3.0,3.0,100.0,2.0,2.0,100.0,1.0,1.0,100.0,0.0,1.0,0.0,0.0,1.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,8.0,0.0,3.0,5.0,0.0,0.0,8.0,6.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Romelu Lukaku,be BEL,FW,Roma,30-119,1993,1.0,0.0,20.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.16,0.16,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,5.0,8.0,62.5,87.0,4.0,2.0,3.0,66.7,3.0,5.0,60.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,8.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,2.0,7.0,1.0,9.0,6.0,0.0,1.0,0.0,8.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0
-Sebastiano Luperto,it ITA,DF,Empoli,27-003,1996,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,108.0,122.0,88.5,2058.0,656.0,29.0,31.0,93.5,68.0,71.0,95.8,8.0,16.0,50.0,0.0,2.0,0.0,0.0,6.0,117.0,5.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.33,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,4.0,0.0,0.0,6.0,3.0,3.0,0.0,5.0,0.0,138.0,33.0,82.0,55.0,2.0,0.0,138.0,86.0,0.0,0.0,0.0,89.0,0.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,9.0,5.0,2.0,71.4
-Charalambos Lykogiannis,gr GRE,DF,Bologna,29-322,1993,2.0,2.0,146.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.11,0.11,1.6,0.0,1.0,0.0,0.0,0.0,0.0,0.09,-0.2,-0.2,50.0,70.0,71.4,940.0,221.0,23.0,26.0,88.5,22.0,29.0,75.9,5.0,14.0,35.7,2.0,4.0,2.0,2.0,5.0,60.0,10.0,0.0,0.0,1.0,8.0,1.0,1.0,0.0,0.0,9.0,0.0,0.0,3.0,1.85,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,2.0,6.0,0.0,82.0,5.0,25.0,37.0,20.0,0.0,82.0,35.0,3.0,2.0,0.0,49.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,1.0,80.0
-Giulio Maggiore,it ITA,MF,Salernitana,25-181,1998,1.0,1.0,77.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,23.0,30.0,76.7,372.0,112.0,11.0,15.0,73.3,11.0,12.0,91.7,1.0,2.0,50.0,0.0,2.0,1.0,0.0,2.0,29.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,33.0,0.0,7.0,23.0,3.0,0.0,33.0,26.0,0.0,0.0,0.0,24.0,0.0,0.0,0.0,1.0,5.0,0.0,0.0,0.0,0.0,4.0,2.0,3.0,40.0
-Giangiacomo Magnani,it ITA,DF,Hellas Verona,27-340,1995,3.0,3.0,270.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,89.0,104.0,85.6,2134.0,634.0,16.0,19.0,84.2,55.0,60.0,91.7,18.0,23.0,78.3,2.0,3.0,0.0,0.0,6.0,98.0,6.0,6.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,1.67,4.0,0.0,0.0,0.0,2.0,0.67,1.0,0.0,0.0,0.0,1.0,2.0,1.0,0.0,2.0,0.0,4.0,3.0,1.0,5.0,12.0,0.0,130.0,17.0,66.0,61.0,3.0,2.0,130.0,70.0,0.0,0.0,0.0,72.0,1.0,0.0,0.0,3.0,3.0,0.0,0.0,0.0,0.0,12.0,1.0,2.0,33.3
-Mike Maignan,fr FRA,GK,Milan,28-068,1995,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,148.0,193.0,76.7,3830.0,2728.0,25.0,25.0,100.0,79.0,80.0,98.8,43.0,84.0,51.2,0.0,2.0,0.0,0.0,0.0,166.0,24.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,4.0,1.33,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,198.0,145.0,198.0,0.0,0.0,0.0,198.0,129.0,0.0,0.0,0.0,126.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,66.7
-Antoine Makoumbou,cg CGO,MF,Cagliari,25-053,1998,3.0,3.0,270.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,104.0,116.0,89.7,1809.0,507.0,51.0,54.0,94.4,34.0,38.0,89.5,15.0,19.0,78.9,2.0,10.0,3.0,0.0,20.0,112.0,3.0,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,4.0,1.33,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,2.0,0.0,3.0,1.0,1.0,0.0,3.0,4.0,0.0,147.0,10.0,38.0,79.0,32.0,1.0,147.0,97.0,0.0,1.0,0.0,97.0,10.0,2.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,26.0,1.0,3.0,25.0
-Youssef Maleh,ma MAR,MF,Empoli,25-018,1998,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,13.0,18.0,72.2,166.0,56.0,7.0,8.0,87.5,5.0,8.0,62.5,0.0,0.0,0.0,1.0,3.0,0.0,0.0,2.0,17.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,26.0,1.0,3.0,14.0,9.0,1.0,26.0,12.0,1.0,1.0,0.0,16.0,3.0,1.0,0.0,7.0,0.0,0.0,0.0,1.0,0.0,3.0,0.0,1.0,0.0
-Ruslan Malinovskyi,ua UKR,MF,Genoa,30-128,1993,2.0,2.0,126.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,1.4,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,31.0,40.0,77.5,606.0,176.0,10.0,14.0,71.4,15.0,19.0,78.9,5.0,6.0,83.3,0.0,2.0,2.0,0.0,5.0,39.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.71,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,47.0,1.0,11.0,27.0,10.0,0.0,47.0,23.0,0.0,1.0,0.0,33.0,0.0,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,6.0,1.0,0.0,100.0
-Gianluca Mancini,it ITA,DF,Roma,27-145,1996,3.0,3.0,258.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.24,0.24,2.9,2.0,0.0,40.0,0.7,0.0,0.0,0.14,-0.7,-0.7,144.0,178.0,80.9,2621.0,1063.0,61.0,65.0,93.8,69.0,82.0,84.1,14.0,27.0,51.9,1.0,12.0,4.0,1.0,12.0,173.0,4.0,3.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.35,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,2.0,1.0,0.0,3.0,3.0,0.0,3.0,1.0,0.0,198.0,19.0,82.0,92.0,24.0,5.0,198.0,139.0,6.0,10.0,0.0,154.0,0.0,0.0,0.0,3.0,4.0,0.0,0.0,0.0,0.0,13.0,7.0,6.0,53.8
-Rolando Mandragora,it ITA,MF,Fiorentina,26-072,1997,3.0,2.0,190.0,1.0,0.0,0.0,0.0,0.0,0.0,0.47,0.0,0.47,0.47,0.47,0.2,0.2,0.11,0.11,2.1,1.0,0.0,50.0,0.47,0.5,1.0,0.12,0.8,0.8,108.0,119.0,90.8,1899.0,401.0,48.0,53.0,90.6,44.0,47.0,93.6,12.0,13.0,92.3,0.0,14.0,1.0,0.0,16.0,113.0,6.0,3.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.47,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,133.0,2.0,23.0,88.0,22.0,2.0,133.0,89.0,1.0,1.0,0.0,101.0,2.0,0.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,10.0,2.0,3.0,40.0
-Riccardo Marchizza,it ITA,DF,Frosinone,25-167,1998,3.0,3.0,270.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.33,0.33,0.0,0.33,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,80.0,106.0,75.5,1459.0,634.0,28.0,33.0,84.8,40.0,47.0,85.1,10.0,22.0,45.5,3.0,4.0,2.0,2.0,7.0,88.0,18.0,3.0,0.0,1.0,5.0,0.0,0.0,0.0,0.0,15.0,0.0,0.0,3.0,1.0,2.0,0.0,0.0,0.0,1.0,0.33,0.0,0.0,0.0,0.0,1.0,2.0,2.0,1.0,1.0,0.0,5.0,1.0,4.0,2.0,9.0,0.0,131.0,17.0,51.0,57.0,23.0,0.0,131.0,50.0,2.0,1.0,0.0,69.0,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,12.0,3.0,2.0,60.0
-Pablo Marí,es ESP,DF,Monza,30-009,1993,3.0,3.0,245.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,145.0,156.0,92.9,3046.0,975.0,36.0,41.0,87.8,92.0,95.0,96.8,16.0,19.0,84.2,0.0,6.0,0.0,0.0,7.0,155.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,3.0,5.0,2.0,0.0,2.0,1.0,1.0,4.0,5.0,1.0,176.0,25.0,86.0,86.0,4.0,1.0,176.0,109.0,0.0,0.0,0.0,133.0,1.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,11.0,4.0,3.0,57.1
-Mirko Marić,hr CRO,FW,Monza,28-116,1995,2.0,1.0,79.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.47,0.47,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.4,-0.4,21.0,28.0,75.0,252.0,19.0,13.0,16.0,81.3,6.0,8.0,75.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,26.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.28,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,37.0,0.0,1.0,19.0,18.0,5.0,37.0,20.0,0.0,0.0,0.0,31.0,2.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,3.0,3.0,5.0,37.5
-Răzvan Marin,ro ROU,MF,Empoli,27-109,1996,3.0,3.0,234.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.08,0.08,2.6,3.0,2.0,60.0,1.15,0.0,0.0,0.04,-0.2,-0.2,106.0,141.0,75.2,2032.0,630.0,47.0,54.0,87.0,34.0,43.0,79.1,21.0,35.0,60.0,3.0,12.0,3.0,1.0,12.0,121.0,20.0,14.0,3.0,0.0,9.0,6.0,3.0,2.0,0.0,0.0,0.0,3.0,6.0,2.31,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,0.0,4.0,0.0,1.0,0.0,1.0,0.0,6.0,0.0,164.0,8.0,36.0,94.0,36.0,1.0,164.0,96.0,3.0,5.0,0.0,108.0,0.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,11.0,2.0,1.0,66.7
-Agustín Martegani,ar ARG,MF,Salernitana,23-112,2000,2.0,0.0,68.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.09,0.09,0.8,1.0,0.0,50.0,1.32,0.0,0.0,0.03,-0.1,-0.1,27.0,31.0,87.1,339.0,101.0,16.0,18.0,88.9,7.0,8.0,87.5,1.0,2.0,50.0,1.0,1.0,2.0,0.0,3.0,29.0,2.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,5.29,3.0,1.0,0.0,0.0,1.0,1.32,1.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,40.0,3.0,6.0,21.0,13.0,1.0,40.0,21.0,2.0,0.0,1.0,25.0,2.0,1.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0
-Aarón Martín,es ESP,DF,Genoa,26-140,1997,3.0,1.0,68.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,25.0,84.0,338.0,137.0,12.0,12.0,100.0,8.0,10.0,80.0,1.0,2.0,50.0,0.0,1.0,0.0,0.0,4.0,18.0,7.0,0.0,0.0,0.0,3.0,1.0,0.0,1.0,0.0,6.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,28.0,0.0,3.0,11.0,15.0,0.0,28.0,11.0,1.0,1.0,0.0,15.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0
-Josep Martinez,es ESP,GK,Genoa,25-105,1998,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,75.0,109.0,68.8,2699.0,2173.0,7.0,7.0,100.0,28.0,29.0,96.6,40.0,70.0,57.1,0.0,3.0,0.0,0.0,0.0,76.0,32.0,18.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,115.0,93.0,115.0,0.0,0.0,0.0,115.0,72.0,0.0,0.0,0.0,51.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,1.0,2.0,0.0,100.0
-Lautaro Martínez,ar ARG,FW,Inter,26-018,1997,3.0,3.0,259.0,5.0,0.0,0.0,0.0,1.0,0.0,1.74,0.0,1.74,1.74,1.74,2.9,2.9,0.99,0.99,2.9,7.0,0.0,43.8,2.43,0.31,0.71,0.18,2.1,2.1,55.0,74.0,74.3,771.0,175.0,31.0,37.0,83.8,18.0,25.0,72.0,2.0,3.0,66.7,2.0,4.0,0.0,0.0,5.0,71.0,3.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,15.0,5.21,9.0,0.0,3.0,1.0,1.0,0.35,0.0,0.0,0.0,0.0,1.0,2.0,1.0,1.0,1.0,0.0,4.0,0.0,4.0,5.0,2.0,0.0,121.0,1.0,12.0,49.0,61.0,26.0,121.0,80.0,4.0,3.0,1.0,87.0,5.0,2.0,0.0,4.0,6.0,0.0,0.0,0.0,0.0,6.0,2.0,4.0,33.3
-Lucas Martínez Quarta,ar ARG,DF,Fiorentina,27-122,1996,1.0,1.0,90.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,43.0,52.0,82.7,951.0,345.0,10.0,11.0,90.9,26.0,29.0,89.7,7.0,11.0,63.6,0.0,4.0,1.0,0.0,8.0,49.0,3.0,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,5.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,65.0,3.0,31.0,31.0,3.0,0.0,65.0,35.0,0.0,0.0,0.0,32.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,7.0,3.0,0.0,100.0
-Adam Marušić,me MNE,DF,Lazio,30-327,1992,3.0,3.0,245.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,114.0,144.0,79.2,1739.0,657.0,64.0,73.0,87.7,44.0,54.0,81.5,4.0,10.0,40.0,1.0,11.0,2.0,1.0,11.0,125.0,19.0,2.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,17.0,0.0,5.0,3.0,1.1,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,5.0,3.0,3.0,0.0,2.0,2.0,0.0,3.0,4.0,0.0,163.0,9.0,64.0,78.0,21.0,1.0,163.0,87.0,3.0,4.0,0.0,104.0,1.0,2.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,16.0,0.0,6.0,0.0
-Luca Mazzitelli,it ITA,MF,Frosinone,27-298,1995,3.0,3.0,254.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,2.8,1.0,0.0,50.0,0.35,0.0,0.0,0.06,-0.1,-0.1,110.0,151.0,72.8,1625.0,603.0,62.0,70.0,88.6,34.0,43.0,79.1,8.0,24.0,33.3,0.0,14.0,1.0,0.0,21.0,142.0,7.0,6.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,1.0,2.0,4.0,3.0,1.06,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,3.0,1.0,0.0,5.0,1.0,4.0,2.0,9.0,0.0,183.0,13.0,41.0,126.0,17.0,2.0,183.0,80.0,3.0,0.0,0.0,124.0,3.0,2.0,0.0,6.0,8.0,1.0,0.0,0.0,0.0,19.0,5.0,3.0,62.5
-Pasquale Mazzocchi,it ITA,DF,Salernitana,28-044,1995,3.0,2.0,155.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,1.7,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,40.0,63.0,63.5,663.0,244.0,17.0,23.0,73.9,19.0,25.0,76.0,2.0,8.0,25.0,0.0,3.0,1.0,1.0,5.0,44.0,19.0,1.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,18.0,0.0,6.0,1.0,0.58,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,2.0,1.0,0.0,2.0,1.0,1.0,0.0,3.0,0.0,84.0,4.0,24.0,37.0,23.0,1.0,84.0,36.0,5.0,2.0,0.0,46.0,5.0,2.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,4.0,0.0,3.0,0.0
-Jordi Mboula,es ESP,"MF,FW",Hellas Verona,24-177,1999,3.0,2.0,116.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.07,0.07,1.3,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,16.0,26.0,61.5,231.0,46.0,9.0,13.0,69.2,5.0,6.0,83.3,1.0,1.0,100.0,0.0,0.0,0.0,0.0,2.0,25.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,33.0,0.0,5.0,17.0,11.0,4.0,33.0,25.0,3.0,1.0,1.0,26.0,3.0,4.0,0.0,1.0,2.0,1.0,0.0,0.0,0.0,3.0,2.0,6.0,25.0
-Weston McKennie,us USA,DF,Juventus,25-012,1998,3.0,1.0,137.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.06,0.06,1.5,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.1,-0.1,41.0,61.0,67.2,587.0,92.0,29.0,37.0,78.4,8.0,16.0,50.0,3.0,6.0,50.0,2.0,0.0,1.0,0.0,1.0,56.0,5.0,1.0,0.0,1.0,6.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,4.0,2.63,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,7.0,5.0,2.0,0.0,1.0,0.0,1.0,2.0,5.0,0.0,83.0,9.0,29.0,21.0,33.0,10.0,83.0,40.0,6.0,4.0,1.0,49.0,2.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,5.0,2.0,0.0,100.0
-Arthur Melo,br BRA,MF,Fiorentina,27-028,1996,3.0,3.0,235.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.38,0.38,0.0,0.38,0.0,0.0,0.0,0.0,2.6,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,152.0,163.0,93.3,3179.0,665.0,42.0,45.0,93.3,82.0,85.0,96.5,26.0,27.0,96.3,2.0,13.0,0.0,0.0,13.0,152.0,11.0,10.0,1.0,2.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,3.0,1.15,3.0,0.0,0.0,0.0,2.0,0.77,2.0,0.0,0.0,0.0,0.0,6.0,5.0,2.0,3.0,1.0,5.0,0.0,5.0,2.0,2.0,0.0,185.0,4.0,48.0,115.0,23.0,1.0,185.0,129.0,0.0,1.0,0.0,144.0,1.0,3.0,0.0,4.0,8.0,0.0,0.0,0.0,0.0,15.0,0.0,1.0,0.0
-Alex Meret,it ITA,GK,Napoli,26-171,1997,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,78.0,86.0,90.7,1668.0,838.0,18.0,18.0,100.0,49.0,50.0,98.0,11.0,18.0,61.1,0.0,0.0,0.0,0.0,0.0,72.0,14.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,88.0,63.0,87.0,1.0,0.0,0.0,88.0,62.0,0.0,0.0,0.0,55.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0
-Nikola Milenković,rs SRB,DF,Fiorentina,25-332,1997,3.0,3.0,270.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.05,0.0,0.0,177.0,210.0,84.3,3799.0,1182.0,48.0,54.0,88.9,100.0,108.0,92.6,28.0,39.0,71.8,0.0,5.0,0.0,0.0,7.0,207.0,2.0,2.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,1.0,0.33,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,2.0,0.0,3.0,2.0,1.0,1.0,7.0,0.0,225.0,14.0,129.0,95.0,1.0,1.0,225.0,161.0,0.0,1.0,0.0,165.0,1.0,0.0,0.0,4.0,2.0,0.0,0.0,0.0,0.0,17.0,4.0,2.0,66.7
-Arkadiusz Milik,pl POL,FW,Juventus,29-193,1994,3.0,0.0,51.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.76,1.76,0.0,1.76,0.4,0.4,0.76,0.76,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.11,-0.4,-0.4,21.0,23.0,91.3,273.0,51.0,14.0,15.0,93.3,5.0,5.0,100.0,1.0,1.0,100.0,1.0,1.0,0.0,0.0,0.0,22.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.8,1.0,0.0,0.0,0.0,1.0,1.8,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,33.0,0.0,2.0,17.0,14.0,6.0,33.0,24.0,1.0,0.0,1.0,27.0,3.0,1.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,5.0,2.0,1.0,66.7
-Vanja Milinković-Savić,rs SRB,GK,Torino,26-201,1997,3.0,3.0,270.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,82.0,115.0,71.3,2453.0,1824.0,16.0,16.0,100.0,40.0,40.0,100.0,26.0,58.0,44.8,0.0,3.0,0.0,0.0,0.0,80.0,34.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,124.0,102.0,124.0,0.0,0.0,0.0,124.0,71.0,0.0,0.0,0.0,52.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
-Kevin Miranda,it ITA,DF,Sassuolo,20-183,2003,1.0,0.0,14.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,10.0,90.0,165.0,43.0,3.0,3.0,100.0,5.0,6.0,83.3,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,11.0,1.0,7.0,5.0,0.0,0.0,11.0,8.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Fabio Miretti,it ITA,MF,Juventus,20-037,2003,2.0,2.0,106.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.07,0.07,1.2,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,40.0,54.0,74.1,652.0,226.0,17.0,19.0,89.5,18.0,21.0,85.7,3.0,7.0,42.9,1.0,3.0,4.0,2.0,4.0,49.0,4.0,1.0,1.0,0.0,4.0,3.0,0.0,1.0,0.0,0.0,1.0,3.0,4.0,3.4,3.0,0.0,0.0,0.0,1.0,0.85,1.0,0.0,0.0,0.0,0.0,3.0,3.0,1.0,2.0,0.0,1.0,0.0,1.0,0.0,2.0,0.0,70.0,2.0,15.0,30.0,27.0,6.0,70.0,43.0,3.0,3.0,0.0,48.0,3.0,0.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,7.0,0.0,2.0,0.0
-Filippo Missori,it ITA,DF,Sassuolo,19-169,2004,1.0,0.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.21,0.21,0.5,1.0,0.0,50.0,2.0,0.0,0.0,0.05,-0.1,-0.1,19.0,26.0,73.1,339.0,92.0,9.0,9.0,100.0,5.0,9.0,55.6,4.0,5.0,80.0,1.0,0.0,1.0,1.0,2.0,23.0,3.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,1.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,2.0,0.0,0.0,35.0,3.0,14.0,12.0,9.0,1.0,35.0,20.0,3.0,1.0,1.0,22.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,100.0
-Henrikh Mkhitaryan,am ARM,MF,Inter,34-231,1989,3.0,3.0,261.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.1,0.1,2.9,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.3,-0.3,146.0,174.0,83.9,2128.0,491.0,83.0,90.0,92.2,48.0,57.0,84.2,8.0,14.0,57.1,3.0,20.0,3.0,0.0,20.0,171.0,3.0,2.0,2.0,2.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,5.0,11.0,3.79,10.0,1.0,0.0,0.0,2.0,0.69,2.0,0.0,0.0,0.0,0.0,3.0,3.0,1.0,1.0,1.0,1.0,0.0,1.0,3.0,5.0,0.0,195.0,3.0,38.0,104.0,56.0,9.0,195.0,127.0,5.0,4.0,2.0,145.0,3.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,21.0,1.0,1.0,50.0
-Ilario Monterisi,it ITA,DF,Frosinone,21-264,2001,3.0,3.0,270.0,1.0,0.0,0.0,0.0,0.0,0.0,0.33,0.0,0.33,0.33,0.33,0.3,0.3,0.1,0.1,3.0,1.0,0.0,100.0,0.33,1.0,1.0,0.31,0.7,0.7,149.0,183.0,81.4,2621.0,1286.0,64.0,69.0,92.8,65.0,70.0,92.9,15.0,33.0,45.5,1.0,10.0,1.0,0.0,8.0,168.0,14.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,2.0,0.67,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,4.0,3.0,2.0,0.0,3.0,3.0,0.0,1.0,14.0,0.0,209.0,45.0,138.0,69.0,4.0,1.0,209.0,113.0,0.0,1.0,0.0,134.0,1.0,0.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,20.0,13.0,8.0,61.9
-Lorenzo Montipò,it ITA,GK,Hellas Verona,27-201,1996,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,65.0,112.0,58.0,2435.0,2028.0,8.0,8.0,100.0,25.0,26.0,96.2,32.0,78.0,41.0,0.0,3.0,0.0,0.0,0.0,72.0,40.0,12.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,127.0,99.0,126.0,1.0,0.0,0.0,127.0,60.0,0.0,0.0,0.0,46.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,6.0,1.0,1.0,50.0
-Nikola Moro,hr CRO,"MF,FW",Bologna,25-181,1998,3.0,3.0,171.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.05,0.05,1.9,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,82.0,100.0,82.0,1556.0,340.0,34.0,38.0,89.5,36.0,38.0,94.7,11.0,15.0,73.3,2.0,10.0,2.0,1.0,10.0,100.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,2.11,4.0,0.0,0.0,0.0,1.0,0.53,1.0,0.0,0.0,0.0,0.0,3.0,2.0,2.0,1.0,0.0,4.0,0.0,4.0,1.0,2.0,0.0,122.0,3.0,18.0,77.0,30.0,1.0,122.0,66.0,3.0,5.0,0.0,95.0,3.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,8.0,1.0,0.0,100.0
-Dany Mota,pt POR,FW,Monza,25-130,1998,3.0,2.0,160.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.14,0.14,1.8,1.0,0.0,20.0,0.56,0.0,0.0,0.05,-0.3,-0.3,19.0,31.0,61.3,328.0,69.0,9.0,12.0,75.0,8.0,11.0,72.7,2.0,3.0,66.7,2.0,1.0,1.0,1.0,3.0,26.0,4.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,4.0,2.25,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,3.0,0.0,55.0,3.0,4.0,20.0,31.0,12.0,55.0,29.0,5.0,2.0,1.0,39.0,6.0,1.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,5.0,7.0,6.0,53.8
-Samuele Mulattieri,it ITA,FW,Sassuolo,22-337,2000,3.0,0.0,41.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.22,0.22,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.1,-0.1,14.0,15.0,93.3,154.0,5.0,9.0,9.0,100.0,3.0,3.0,100.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,13.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,1.0,0.0,31.0,2.0,4.0,19.0,8.0,2.0,31.0,15.0,2.0,1.0,1.0,19.0,5.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,5.0,37.5
-Luis Muriel,co COL,FW,Atalanta,32-146,1991,2.0,0.0,25.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.29,0.29,0.3,1.0,0.0,100.0,3.6,0.0,0.0,0.08,-0.1,-0.1,17.0,21.0,81.0,307.0,110.0,11.0,13.0,84.6,3.0,3.0,100.0,3.0,5.0,60.0,5.0,1.0,1.0,0.0,3.0,16.0,5.0,1.0,0.0,0.0,5.0,3.0,3.0,0.0,0.0,1.0,0.0,0.0,6.0,20.77,4.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,24.0,0.0,0.0,9.0,16.0,4.0,24.0,17.0,3.0,2.0,1.0,19.0,1.0,3.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,100.0
-Yunus Musah,us USA,MF,Milan,20-284,2002,1.0,0.0,25.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,10.0,90.0,112.0,6.0,8.0,8.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,3.6,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,0.0,3.0,7.0,2.0,0.0,12.0,12.0,1.0,0.0,0.0,12.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Juan Musso,ar ARG,GK,Atalanta,29-126,1994,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,81.0,106.0,76.4,2016.0,1333.0,18.0,18.0,100.0,40.0,40.0,100.0,22.0,47.0,46.8,0.0,0.0,0.0,0.0,0.0,85.0,21.0,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.33,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,112.0,88.0,111.0,1.0,0.0,0.0,112.0,75.0,0.0,0.0,0.0,55.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0
-Nahitan Nández,uy URU,"MF,FW",Cagliari,27-255,1995,3.0,3.0,206.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.08,0.08,2.3,1.0,0.0,33.3,0.44,0.0,0.0,0.06,-0.2,-0.2,42.0,74.0,56.8,728.0,242.0,26.0,31.0,83.9,10.0,18.0,55.6,6.0,21.0,28.6,3.0,2.0,3.0,1.0,8.0,70.0,4.0,2.0,1.0,2.0,13.0,1.0,0.0,1.0,0.0,0.0,0.0,2.0,5.0,2.18,4.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,2.0,0.0,2.0,2.0,1.0,0.0,92.0,1.0,10.0,37.0,46.0,3.0,92.0,54.0,6.0,1.0,1.0,64.0,5.0,3.0,0.0,7.0,3.0,2.0,0.0,0.0,0.0,11.0,4.0,7.0,36.4
-Michel Ndary Adopo,fr FRA,MF,Atalanta,23-052,2000,1.0,0.0,4.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,22.5,22.5,0.0,22.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,100.0,68.0,25.0,2.0,2.0,100.0,2.0,2.0,100.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,22.5,1.0,0.0,0.0,0.0,1.0,22.5,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,3.0,2.0,0.0,5.0,3.0,0.0,0.0,0.0,5.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Dan Ndoye,ch SUI,"FW,MF",Bologna,22-319,2000,3.0,3.0,245.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.16,0.16,2.7,2.0,0.0,25.0,0.73,0.0,0.0,0.05,-0.4,-0.4,74.0,98.0,75.5,1185.0,256.0,40.0,46.0,87.0,23.0,29.0,79.3,8.0,12.0,66.7,5.0,7.0,3.0,1.0,7.0,94.0,3.0,0.0,0.0,1.0,10.0,3.0,1.0,1.0,0.0,0.0,1.0,4.0,12.0,4.41,9.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,3.0,5.0,2.0,0.0,5.0,0.0,5.0,0.0,3.0,0.0,146.0,1.0,21.0,53.0,75.0,10.0,146.0,92.0,15.0,9.0,3.0,104.0,8.0,1.0,0.0,2.0,7.0,0.0,0.0,0.0,0.0,17.0,2.0,3.0,40.0
-Cyril Ngonge,be BEL,"MF,FW",Hellas Verona,23-106,2000,3.0,3.0,220.0,2.0,0.0,0.0,0.0,0.0,0.0,0.82,0.0,0.82,0.82,0.82,0.5,0.5,0.21,0.21,2.4,3.0,0.0,50.0,1.23,0.33,0.67,0.09,1.5,1.5,38.0,56.0,67.9,751.0,157.0,13.0,19.0,68.4,20.0,25.0,80.0,5.0,10.0,50.0,3.0,5.0,0.0,0.0,5.0,48.0,8.0,1.0,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,7.0,2.86,6.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,77.0,2.0,7.0,37.0,34.0,7.0,77.0,50.0,9.0,3.0,4.0,50.0,5.0,2.0,0.0,9.0,3.0,2.0,0.0,0.0,0.0,9.0,3.0,4.0,42.9
-Rasmus Nissen,dk DEN,"FW,DF",Roma,26-060,1997,2.0,2.0,109.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,30.0,48.0,62.5,496.0,181.0,14.0,17.0,82.4,14.0,26.0,53.8,1.0,3.0,33.3,2.0,1.0,1.0,1.0,2.0,33.0,14.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,14.0,1.0,0.0,3.0,2.48,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,1.0,0.0,3.0,0.0,3.0,0.0,1.0,0.0,53.0,1.0,13.0,20.0,20.0,2.0,53.0,24.0,1.0,2.0,1.0,23.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,1.0,50.0
-M'Bala Nzola,ao ANG,FW,Fiorentina,27-022,1996,3.0,1.0,152.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.59,0.59,0.0,0.59,0.1,0.1,0.05,0.05,1.7,0.0,0.0,0.0,0.0,0.0,0.0,0.09,-0.1,-0.1,30.0,34.0,88.2,478.0,54.0,20.0,22.0,90.9,4.0,5.0,80.0,4.0,4.0,100.0,2.0,2.0,1.0,0.0,2.0,29.0,5.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,2.0,1.18,1.0,0.0,1.0,0.0,1.0,0.59,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,49.0,1.0,2.0,24.0,25.0,4.0,49.0,35.0,1.0,2.0,0.0,37.0,6.0,3.0,0.0,5.0,1.0,2.0,0.0,0.0,0.0,5.0,2.0,4.0,33.3
-Adam Obert,sk SVK,DF,Cagliari,21-017,2002,2.0,2.0,176.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,51.0,71.0,71.8,1044.0,308.0,19.0,22.0,86.4,24.0,30.0,80.0,8.0,17.0,47.1,1.0,2.0,0.0,0.0,2.0,64.0,6.0,4.0,1.0,3.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,2.0,1.02,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,2.0,2.0,0.0,3.0,1.0,2.0,4.0,11.0,0.0,94.0,14.0,54.0,38.0,2.0,0.0,94.0,39.0,0.0,0.0,0.0,43.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,8.0,5.0,3.0,62.5
-Guillermo Ochoa,mx MEX,GK,Salernitana,38-058,1985,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,59.0,101.0,58.4,1682.0,1172.0,6.0,6.0,100.0,36.0,36.0,100.0,17.0,59.0,28.8,0.0,3.0,1.0,0.0,0.0,58.0,43.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.33,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,111.0,92.0,111.0,0.0,0.0,0.0,111.0,49.0,0.0,0.0,0.0,27.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,100.0
-Noah Okafor,ch SUI,FW,Milan,23-108,2000,3.0,0.0,57.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,6.0,50.0,36.0,14.0,0.0,0.0,0.0,2.0,3.0,66.7,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,15.0,1.0,2.0,8.0,6.0,1.0,15.0,13.0,2.0,1.0,1.0,14.0,2.0,2.0,0.0,4.0,3.0,0.0,0.0,0.0,0.0,2.0,0.0,3.0,0.0
-Mathías Olivera,uy URU,DF,Napoli,25-313,1997,3.0,3.0,230.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.05,0.05,2.6,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,140.0,164.0,85.4,2101.0,442.0,87.0,95.0,91.6,47.0,53.0,88.7,5.0,7.0,71.4,4.0,6.0,2.0,1.0,7.0,143.0,21.0,3.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,18.0,0.0,7.0,7.0,2.74,6.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,3.0,1.0,1.0,2.0,0.0,2.0,2.0,2.0,0.0,186.0,5.0,44.0,98.0,44.0,9.0,186.0,103.0,6.0,6.0,0.0,121.0,2.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,10.0,7.0,2.0,77.8
-Gaetano Oristanio,it ITA,"FW,DF",Cagliari,20-346,2002,3.0,2.0,130.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.07,0.07,1.4,0.0,1.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,16.0,24.0,66.7,221.0,52.0,12.0,13.0,92.3,2.0,5.0,40.0,1.0,2.0,50.0,1.0,2.0,0.0,0.0,2.0,18.0,6.0,0.0,0.0,0.0,4.0,2.0,2.0,0.0,0.0,0.0,0.0,3.0,4.0,2.77,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,41.0,0.0,4.0,17.0,22.0,5.0,41.0,30.0,3.0,4.0,3.0,27.0,9.0,7.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,7.0,1.0,2.0,33.3
-Riccardo Orsolini,it ITA,FW,Bologna,26-228,1997,3.0,1.0,129.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.0,0.56,0.01,1.4,1.0,0.0,100.0,0.7,0.0,0.0,0.02,-0.8,0.0,28.0,38.0,73.7,357.0,92.0,17.0,18.0,94.4,9.0,11.0,81.8,1.0,6.0,16.7,3.0,1.0,2.0,1.0,4.0,33.0,5.0,4.0,0.0,1.0,4.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,7.0,4.88,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,2.0,1.0,1.0,1.0,2.0,0.0,55.0,1.0,11.0,14.0,30.0,6.0,54.0,29.0,4.0,6.0,2.0,36.0,3.0,0.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,3.0,2.0,2.0,50.0
-Victor Osimhen,ng NGA,FW,Napoli,24-254,1998,3.0,3.0,260.0,3.0,0.0,1.0,1.0,0.0,0.0,1.04,0.0,1.04,0.69,0.69,2.5,1.7,0.87,0.6,2.9,3.0,0.0,17.6,1.04,0.12,0.67,0.1,0.5,0.3,22.0,31.0,71.0,254.0,55.0,15.0,18.0,83.3,4.0,5.0,80.0,0.0,1.0,0.0,5.0,2.0,0.0,0.0,0.0,24.0,5.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,6.0,2.08,3.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,3.0,0.0,73.0,3.0,5.0,24.0,44.0,28.0,72.0,36.0,6.0,2.0,2.0,50.0,10.0,1.0,0.0,7.0,4.0,6.0,0.0,0.0,0.0,3.0,6.0,8.0,42.9
-Anthony Oyono,ga GAB,DF,Frosinone,22-150,2001,3.0,3.0,270.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.05,0.0,0.0,111.0,136.0,81.6,1591.0,740.0,68.0,76.0,89.5,31.0,40.0,77.5,7.0,14.0,50.0,2.0,8.0,2.0,1.0,7.0,97.0,39.0,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,36.0,0.0,1.0,5.0,1.67,2.0,3.0,0.0,0.0,2.0,0.67,0.0,2.0,0.0,0.0,0.0,6.0,4.0,5.0,1.0,0.0,5.0,2.0,3.0,5.0,13.0,0.0,176.0,16.0,68.0,77.0,32.0,4.0,176.0,77.0,7.0,5.0,4.0,82.0,7.0,1.0,0.0,2.0,7.0,0.0,0.0,0.0,0.0,15.0,4.0,3.0,57.1
-Riccardo Pagano,it ITA,"DF,MF",Roma,18-285,2004,2.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.38,0.38,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,10.0,10.0,100.0,193.0,37.0,4.0,4.0,100.0,3.0,3.0,100.0,3.0,3.0,100.0,0.0,4.0,0.0,0.0,2.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,27.69,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,0.0,0.0,8.0,4.0,0.0,12.0,8.0,0.0,0.0,0.0,11.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Leandro Paredes,ar ARG,MF,Roma,29-072,1994,3.0,2.0,140.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.64,0.64,0.0,0.64,0.2,0.2,0.11,0.11,1.6,0.0,1.0,0.0,0.0,0.0,0.0,0.04,-0.2,-0.2,80.0,96.0,83.3,1545.0,601.0,36.0,38.0,94.7,34.0,40.0,85.0,10.0,17.0,58.8,2.0,12.0,0.0,0.0,7.0,79.0,17.0,10.0,0.0,2.0,8.0,5.0,4.0,1.0,0.0,2.0,0.0,2.0,6.0,3.86,3.0,2.0,0.0,1.0,1.0,0.64,0.0,1.0,0.0,0.0,0.0,5.0,1.0,4.0,0.0,1.0,1.0,0.0,1.0,1.0,2.0,0.0,107.0,4.0,20.0,66.0,23.0,0.0,107.0,59.0,0.0,3.0,0.0,67.0,1.0,0.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,7.0,2.0,0.0,100.0
-Fabiano Parisi,it ITA,DF,Fiorentina,22-304,2000,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,31.0,42.0,73.8,679.0,282.0,14.0,15.0,93.3,9.0,14.0,64.3,8.0,9.0,88.9,0.0,2.0,1.0,1.0,2.0,25.0,17.0,3.0,1.0,1.0,3.0,0.0,0.0,0.0,0.0,14.0,0.0,4.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,0.0,1.0,3.0,0.0,0.0,0.0,1.0,0.0,0.0,50.0,0.0,11.0,30.0,11.0,0.0,50.0,26.0,1.0,1.0,0.0,20.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,9.0,0.0,3.0,0.0
-Mario Pašalić,hr CRO,MF,Atalanta,28-212,1995,1.0,1.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,13.0,92.3,267.0,43.0,4.0,4.0,100.0,6.0,6.0,100.0,2.0,3.0,66.7,0.0,2.0,0.0,0.0,1.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,0.0,3.0,7.0,3.0,0.0,13.0,9.0,0.0,0.0,0.0,11.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Patric,es ESP,DF,Lazio,30-145,1993,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,54.0,63.0,85.7,1063.0,385.0,15.0,15.0,100.0,31.0,32.0,96.9,8.0,16.0,50.0,1.0,3.0,1.0,0.0,3.0,58.0,5.0,5.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,2.0,1.0,1.0,0.0,3.0,0.0,69.0,6.0,35.0,34.0,0.0,0.0,69.0,51.0,0.0,0.0,0.0,55.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Rui Patrício,pt POR,GK,Roma,35-206,1988,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,51.0,59.0,86.4,1288.0,833.0,14.0,14.0,100.0,24.0,24.0,100.0,13.0,21.0,61.9,0.0,0.0,0.0,0.0,0.0,45.0,14.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,63.0,54.0,63.0,0.0,0.0,0.0,63.0,41.0,0.0,0.0,0.0,34.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,3.0,0.0,0.0,0.0
-Leonardo Pavoletti,it ITA,FW,Cagliari,34-287,1988,2.0,1.0,53.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.27,0.27,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.2,-0.2,7.0,11.0,63.6,114.0,40.0,2.0,4.0,50.0,2.0,4.0,50.0,1.0,1.0,100.0,0.0,1.0,0.0,0.0,1.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.7,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,22.0,1.0,4.0,9.0,9.0,5.0,22.0,9.0,0.0,0.0,0.0,15.0,3.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,3.0,5.0,2.0,71.4
-Marcus Pedersen,no NOR,DF,Sassuolo,23-055,2000,2.0,0.0,56.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,20.0,75.0,259.0,65.0,4.0,4.0,100.0,9.0,12.0,75.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,1.0,17.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,24.0,1.0,7.0,11.0,6.0,0.0,24.0,10.0,0.0,1.0,0.0,13.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0
-Pedro,es ESP,FW,Lazio,36-043,1987,2.0,0.0,30.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,13.0,69.2,90.0,35.0,6.0,7.0,85.7,1.0,2.0,50.0,0.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,9.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,2.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,18.0,0.0,5.0,8.0,6.0,2.0,18.0,11.0,2.0,2.0,1.0,11.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
-Pietro Pellegri,it ITA,FW,Torino,22-176,2001,3.0,0.0,119.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.14,0.14,1.3,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.2,-0.2,13.0,19.0,68.4,137.0,4.0,11.0,13.0,84.6,1.0,3.0,33.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,1.51,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,34.0,0.0,2.0,14.0,19.0,5.0,34.0,23.0,2.0,2.0,0.0,27.0,5.0,3.0,0.0,2.0,7.0,3.0,0.0,0.0,0.0,2.0,5.0,6.0,45.5
-Lorenzo Pellegrini,it ITA,MF,Roma,27-082,1996,2.0,1.0,150.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.24,0.24,1.7,0.0,2.0,0.0,0.0,0.0,0.0,0.06,-0.4,-0.4,42.0,63.0,66.7,693.0,246.0,20.0,22.0,90.9,19.0,25.0,76.0,2.0,13.0,15.4,6.0,8.0,0.0,0.0,7.0,47.0,16.0,6.0,0.0,1.0,16.0,10.0,2.0,7.0,0.0,0.0,0.0,0.0,9.0,5.4,3.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,0.0,3.0,1.0,0.0,0.0,0.0,1.0,2.0,0.0,83.0,2.0,6.0,38.0,41.0,5.0,83.0,40.0,1.0,1.0,1.0,49.0,3.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,9.0,0.0,3.0,0.0
-Luca Pellegrini,it ITA,DF,Lazio,24-186,1999,3.0,0.0,54.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,27.0,40.0,67.5,380.0,114.0,14.0,16.0,87.5,12.0,16.0,75.0,0.0,4.0,0.0,1.0,1.0,1.0,0.0,8.0,31.0,9.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,9.0,0.0,3.0,3.0,5.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,51.0,2.0,9.0,20.0,24.0,0.0,51.0,25.0,3.0,1.0,0.0,26.0,1.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,4.0,2.0,3.0,40.0
-Pepín,gq EQG,MF,Monza,27-026,1996,2.0,0.0,36.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.09,0.09,0.4,0.0,1.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,25.0,29.0,86.2,440.0,139.0,10.0,11.0,90.9,12.0,12.0,100.0,2.0,4.0,50.0,0.0,1.0,0.0,0.0,3.0,27.0,2.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,35.0,2.0,5.0,23.0,7.0,0.0,35.0,21.0,0.0,2.0,0.0,24.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Pedro Pereira,pt POR,DF,Monza,25-230,1998,2.0,0.0,30.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,18.0,23.0,78.3,329.0,78.0,10.0,11.0,90.9,3.0,4.0,75.0,4.0,6.0,66.7,1.0,1.0,2.0,2.0,0.0,20.0,3.0,1.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,2.0,6.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,3.0,1.0,2.0,0.0,2.0,0.0,28.0,2.0,9.0,8.0,11.0,0.0,28.0,12.0,1.0,1.0,0.0,18.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,0.0
-Nehuén Pérez,ar ARG,DF,Udinese,23-077,2000,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.07,0.07,3.0,1.0,0.0,25.0,0.33,0.0,0.0,0.05,-0.2,-0.2,140.0,180.0,77.8,2704.0,1165.0,52.0,58.0,89.7,74.0,86.0,86.0,14.0,33.0,42.4,0.0,14.0,2.0,2.0,21.0,163.0,16.0,10.0,1.0,3.0,9.0,0.0,0.0,0.0,0.0,6.0,1.0,0.0,5.0,1.67,4.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,6.0,4.0,1.0,1.0,3.0,1.0,2.0,4.0,6.0,0.0,205.0,10.0,64.0,114.0,30.0,3.0,205.0,129.0,6.0,6.0,0.0,130.0,2.0,1.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,23.0,10.0,4.0,71.4
-Mattia Perin,it ITA,GK,Juventus,30-303,1992,2.0,2.0,180.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,44.0,53.0,83.0,969.0,570.0,12.0,12.0,100.0,21.0,21.0,100.0,10.0,19.0,52.6,0.0,0.0,0.0,0.0,0.0,37.0,16.0,5.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,56.0,45.0,55.0,1.0,0.0,0.0,56.0,30.0,0.0,0.0,0.0,29.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Samuele Perisan,it ITA,GK,Empoli,26-019,1997,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,27.0,34.0,79.4,551.0,340.0,10.0,10.0,100.0,11.0,11.0,100.0,5.0,12.0,41.7,0.0,0.0,0.0,0.0,0.0,21.0,13.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,33.0,32.0,33.0,0.0,0.0,0.0,33.0,13.0,0.0,0.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Matteo Pessina,it ITA,MF,Monza,26-141,1997,3.0,3.0,270.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,3.0,1.0,0.0,100.0,0.33,0.0,0.0,0.09,-0.1,-0.1,180.0,211.0,85.3,3254.0,746.0,72.0,83.0,86.7,82.0,88.0,93.2,22.0,29.0,75.9,1.0,24.0,2.0,0.0,17.0,206.0,4.0,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,5.0,7.0,2.33,6.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,3.0,1.0,0.0,4.0,1.0,3.0,2.0,6.0,0.0,238.0,10.0,50.0,147.0,43.0,2.0,238.0,154.0,7.0,9.0,0.0,179.0,5.0,0.0,0.0,6.0,1.0,0.0,0.0,0.0,0.0,17.0,2.0,1.0,66.7
-Andrea Petagna,it ITA,FW,Cagliari,28-071,1995,1.0,1.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,8.0,75.0,131.0,2.0,1.0,1.0,100.0,2.0,4.0,50.0,2.0,2.0,100.0,0.0,1.0,0.0,0.0,1.0,8.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,11.0,1.0,2.0,4.0,5.0,2.0,11.0,9.0,1.0,0.0,0.0,11.0,2.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,50.0
-Giuseppe Pezzella,it ITA,DF,Empoli,25-284,1997,3.0,1.0,139.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.06,0.06,1.5,1.0,0.0,100.0,0.65,0.0,0.0,0.1,-0.1,-0.1,97.0,119.0,81.5,1604.0,409.0,52.0,58.0,89.7,33.0,36.0,91.7,10.0,16.0,62.5,2.0,14.0,1.0,0.0,10.0,101.0,18.0,2.0,1.0,0.0,8.0,0.0,0.0,0.0,0.0,16.0,0.0,5.0,3.0,1.96,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,6.0,6.0,1.0,0.0,8.0,4.0,4.0,0.0,3.0,0.0,143.0,9.0,41.0,66.0,37.0,1.0,143.0,81.0,13.0,6.0,0.0,95.0,2.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,11.0,1.0,0.0,100.0
-Roberto Piccoli,it ITA,FW,Empoli,22-225,2001,2.0,0.0,38.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.12,0.12,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,4.0,6.0,66.7,47.0,16.0,3.0,4.0,75.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,4.74,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,0.0,0.0,4.0,6.0,1.0,10.0,5.0,0.0,0.0,0.0,6.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,2.0,33.3
-Roberto Piccoli,it ITA,FW,Lecce,22-225,2001,1.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,5.0,40.0,17.0,0.0,1.0,2.0,50.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,12.0,1.0,1.0,5.0,6.0,1.0,12.0,7.0,1.0,0.0,0.0,8.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0
-Andrea Pinamonti,it ITA,FW,Sassuolo,24-113,1999,3.0,3.0,229.0,1.0,0.0,0.0,0.0,0.0,0.0,0.39,0.0,0.39,0.39,0.39,0.4,0.4,0.16,0.16,2.5,1.0,0.0,14.3,0.39,0.14,1.0,0.06,0.6,0.6,36.0,47.0,76.6,434.0,45.0,25.0,27.0,92.6,7.0,9.0,77.8,1.0,2.0,50.0,2.0,1.0,0.0,0.0,1.0,41.0,6.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,5.0,1.97,3.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,0.0,0.0,71.0,1.0,2.0,32.0,37.0,12.0,71.0,41.0,2.0,0.0,2.0,57.0,8.0,0.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,5.0,10.0,33.3
-Lorenzo Pirola,it ITA,DF,Salernitana,21-201,2002,2.0,2.0,162.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,1.8,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,67.0,89.0,75.3,1034.0,483.0,37.0,43.0,86.0,29.0,34.0,85.3,1.0,7.0,14.3,0.0,1.0,1.0,0.0,8.0,85.0,4.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,2.0,0.0,1.0,1.0,0.0,0.0,5.0,0.0,101.0,11.0,39.0,56.0,6.0,0.0,101.0,43.0,1.0,2.0,0.0,75.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,3.0,2.0,6.0,25.0
-Tommaso Pobega,it ITA,MF,Milan,24-056,1999,2.0,0.0,39.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.03,0.4,1.0,0.0,100.0,2.31,0.0,0.0,0.01,0.0,0.0,13.0,13.0,100.0,265.0,98.0,6.0,6.0,100.0,5.0,5.0,100.0,2.0,2.0,100.0,0.0,1.0,0.0,0.0,1.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,0.0,21.0,3.0,6.0,11.0,5.0,0.0,21.0,7.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Paul Pogba,fr FRA,MF,Juventus,30-178,1993,2.0,0.0,54.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,27.0,35.0,77.1,425.0,113.0,13.0,14.0,92.9,11.0,13.0,84.6,2.0,4.0,50.0,1.0,5.0,2.0,0.0,5.0,32.0,3.0,3.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,3.33,2.0,0.0,0.0,0.0,1.0,1.67,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,43.0,1.0,4.0,25.0,14.0,2.0,43.0,23.0,1.0,1.0,0.0,32.0,2.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,4.0,1.0,0.0,100.0
-Matteo Politano,it ITA,FW,Napoli,30-037,1993,3.0,3.0,210.0,1.0,0.0,0.0,0.0,0.0,0.0,0.43,0.0,0.43,0.43,0.43,0.3,0.3,0.11,0.11,2.3,1.0,0.0,25.0,0.43,0.25,1.0,0.06,0.7,0.7,79.0,104.0,76.0,1417.0,423.0,38.0,39.0,97.4,29.0,44.0,65.9,10.0,15.0,66.7,4.0,11.0,2.0,1.0,17.0,92.0,12.0,3.0,1.0,1.0,16.0,5.0,3.0,0.0,2.0,4.0,0.0,4.0,13.0,5.57,9.0,3.0,0.0,1.0,3.0,1.29,1.0,1.0,0.0,1.0,0.0,3.0,2.0,2.0,0.0,1.0,1.0,0.0,1.0,2.0,2.0,0.0,120.0,2.0,15.0,45.0,63.0,8.0,120.0,71.0,12.0,8.0,3.0,82.0,2.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,0.0,11.0,0.0,1.0,0.0
-Marin Pongračić,hr CRO,DF,Lecce,25-363,1997,3.0,3.0,270.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,116.0,140.0,82.9,2437.0,956.0,27.0,33.0,81.8,76.0,85.0,89.4,12.0,17.0,70.6,1.0,5.0,0.0,0.0,9.0,126.0,13.0,13.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,5.0,1.67,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,2.0,1.0,0.0,2.0,1.0,1.0,3.0,8.0,0.0,158.0,25.0,82.0,72.0,8.0,2.0,158.0,99.0,3.0,3.0,0.0,91.0,2.0,0.0,0.0,6.0,2.0,0.0,0.0,0.0,0.0,14.0,9.0,2.0,81.8
-Stefan Posch,at AUT,DF,Bologna,26-118,1997,3.0,3.0,262.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.1,0.1,2.9,1.0,0.0,33.3,0.34,0.0,0.0,0.1,-0.3,-0.3,175.0,208.0,84.1,2800.0,987.0,91.0,97.0,93.8,67.0,79.0,84.8,13.0,25.0,52.0,1.0,16.0,3.0,1.0,18.0,180.0,28.0,5.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,23.0,0.0,1.0,4.0,1.37,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,7.0,7.0,4.0,2.0,2.0,1.0,1.0,3.0,7.0,0.0,245.0,11.0,66.0,133.0,46.0,5.0,245.0,136.0,4.0,7.0,0.0,170.0,3.0,1.0,0.0,5.0,2.0,0.0,0.0,0.0,0.0,10.0,3.0,3.0,50.0
-Ivan Provedel,it ITA,GK,Lazio,29-176,1994,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,86.0,100.0,86.0,1941.0,1284.0,26.0,26.0,100.0,37.0,37.0,100.0,23.0,37.0,62.2,0.0,1.0,1.0,0.0,0.0,81.0,19.0,8.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,108.0,78.0,107.0,1.0,0.0,0.0,108.0,71.0,0.0,0.0,0.0,54.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,7.0,1.0,0.0,100.0
-Christian Pulisic,us USA,FW,Milan,24-356,1998,3.0,3.0,238.0,2.0,0.0,0.0,0.0,0.0,0.0,0.76,0.0,0.76,0.76,0.76,1.0,1.0,0.37,0.37,2.6,4.0,0.0,80.0,1.51,0.4,0.5,0.2,1.0,1.0,78.0,91.0,85.7,1091.0,330.0,47.0,53.0,88.7,23.0,25.0,92.0,5.0,6.0,83.3,4.0,10.0,6.0,2.0,12.0,86.0,5.0,0.0,1.0,0.0,8.0,4.0,0.0,4.0,0.0,1.0,0.0,2.0,11.0,4.14,7.0,2.0,1.0,1.0,2.0,0.75,2.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,1.0,0.0,1.0,2.0,1.0,0.0,106.0,1.0,10.0,54.0,44.0,3.0,106.0,82.0,8.0,6.0,2.0,83.0,0.0,3.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,10.0,1.0,6.0,14.3
-Domingos Quina,pt POR,MF,Udinese,23-295,1999,2.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,13.0,10.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,1.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0
-Adrien Rabiot,fr FRA,MF,Juventus,28-159,1995,3.0,3.0,270.0,1.0,0.0,0.0,0.0,1.0,0.0,0.33,0.0,0.33,0.33,0.33,0.8,0.8,0.26,0.26,3.0,1.0,0.0,50.0,0.33,0.5,1.0,0.39,0.2,0.2,128.0,145.0,88.3,1866.0,389.0,73.0,77.0,94.8,43.0,51.0,84.3,8.0,9.0,88.9,5.0,11.0,2.0,0.0,13.0,141.0,4.0,1.0,1.0,1.0,3.0,0.0,0.0,0.0,0.0,3.0,0.0,3.0,7.0,2.33,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,5.0,4.0,4.0,2.0,6.0,1.0,5.0,5.0,4.0,0.0,180.0,4.0,29.0,98.0,57.0,8.0,180.0,109.0,7.0,9.0,2.0,118.0,3.0,1.0,0.0,6.0,1.0,2.0,0.0,0.0,0.0,18.0,2.0,3.0,40.0
-Uroš Račić,rs SRB,"MF,FW",Sassuolo,25-176,1998,2.0,0.0,35.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.06,0.06,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,9.0,11.0,81.8,156.0,36.0,4.0,5.0,80.0,5.0,5.0,100.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,10.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,15.0,2.0,4.0,7.0,4.0,0.0,15.0,5.0,0.0,0.0,0.0,8.0,1.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Nemanja Radonjić,rs SRB,MF,Torino,27-206,1996,3.0,1.0,130.0,1.0,0.0,0.0,0.0,0.0,0.0,0.69,0.0,0.69,0.69,0.69,0.3,0.3,0.18,0.18,1.4,2.0,0.0,40.0,1.38,0.2,0.5,0.05,0.7,0.7,16.0,24.0,66.7,240.0,51.0,9.0,12.0,75.0,4.0,4.0,100.0,1.0,4.0,25.0,1.0,1.0,2.0,1.0,2.0,23.0,0.0,0.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,3.0,2.08,1.0,0.0,1.0,0.0,1.0,0.69,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,44.0,0.0,5.0,15.0,24.0,5.0,44.0,34.0,5.0,2.0,3.0,37.0,7.0,2.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
-Boris Radunović,rs SRB,GK,Cagliari,27-106,1996,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,55.0,81.0,67.9,2000.0,1494.0,5.0,5.0,100.0,19.0,20.0,95.0,31.0,56.0,55.4,0.0,2.0,0.0,0.0,0.0,46.0,35.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,87.0,75.0,87.0,0.0,0.0,0.0,87.0,42.0,0.0,0.0,0.0,25.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,100.0
-Hamza Rafia,tn TUN,MF,Lecce,24-160,1999,3.0,3.0,197.0,1.0,0.0,0.0,0.0,0.0,0.0,0.46,0.0,0.46,0.46,0.46,0.2,0.2,0.08,0.08,2.2,1.0,0.0,25.0,0.46,0.25,1.0,0.05,0.8,0.8,60.0,86.0,69.8,762.0,218.0,40.0,48.0,83.3,18.0,22.0,81.8,0.0,6.0,0.0,2.0,4.0,0.0,0.0,7.0,85.0,1.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,6.0,2.74,2.0,0.0,1.0,1.0,1.0,0.46,0.0,0.0,0.0,0.0,1.0,6.0,4.0,0.0,5.0,1.0,8.0,0.0,8.0,3.0,3.0,0.0,122.0,1.0,16.0,69.0,37.0,4.0,122.0,77.0,5.0,3.0,1.0,90.0,3.0,3.0,0.0,4.0,6.0,0.0,0.0,0.0,0.0,9.0,1.0,2.0,33.3
-Ylber Ramadani,al ALB,MF,Lecce,27-150,1996,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.16,0.16,3.0,2.0,0.0,18.2,0.67,0.0,0.0,0.05,-0.5,-0.5,85.0,109.0,78.0,1516.0,432.0,36.0,39.0,92.3,34.0,41.0,82.9,11.0,19.0,57.9,3.0,8.0,2.0,0.0,18.0,104.0,5.0,5.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,8.0,2.67,4.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,4.0,3.0,5.0,1.0,4.0,2.0,2.0,2.0,1.0,0.0,143.0,4.0,34.0,79.0,36.0,2.0,143.0,79.0,5.0,3.0,0.0,81.0,1.0,2.0,0.0,1.0,5.0,0.0,0.0,0.0,0.0,19.0,1.0,2.0,33.3
-Luca Ranieri,it ITA,DF,Fiorentina,24-139,1999,2.0,2.0,180.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,107.0,124.0,86.3,2281.0,879.0,33.0,38.0,86.8,53.0,58.0,91.4,19.0,26.0,73.1,1.0,5.0,0.0,0.0,2.0,122.0,2.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,5.0,0.0,135.0,9.0,75.0,59.0,2.0,0.0,135.0,93.0,0.0,2.0,0.0,103.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,0.0
-Giacomo Raspadori,it ITA,FW,Napoli,23-203,2000,3.0,2.0,197.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.5,0.7,0.68,0.32,2.2,3.0,0.0,33.3,1.37,0.0,0.0,0.08,-1.5,-0.7,69.0,87.0,79.3,1285.0,239.0,28.0,33.0,84.8,29.0,34.0,85.3,10.0,13.0,76.9,3.0,3.0,0.0,0.0,5.0,83.0,3.0,1.0,2.0,2.0,4.0,1.0,1.0,0.0,0.0,1.0,1.0,2.0,10.0,4.55,7.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,1.0,3.0,2.0,2.0,0.0,2.0,0.0,1.0,0.0,111.0,1.0,9.0,49.0,54.0,16.0,110.0,70.0,4.0,5.0,1.0,89.0,5.0,2.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,4.0,3.0,1.0,75.0
-Tijjani Reijnders,nl NED,MF,Milan,25-042,1998,3.0,3.0,270.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.33,0.33,0.0,0.33,0.4,0.4,0.12,0.12,3.0,2.0,0.0,40.0,0.67,0.0,0.0,0.07,-0.4,-0.4,100.0,113.0,88.5,1619.0,512.0,51.0,54.0,94.4,36.0,42.0,85.7,9.0,12.0,75.0,3.0,11.0,3.0,1.0,17.0,101.0,12.0,4.0,2.0,1.0,7.0,7.0,5.0,0.0,0.0,0.0,0.0,1.0,11.0,3.67,9.0,2.0,0.0,0.0,3.0,1.0,3.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,4.0,1.0,3.0,1.0,3.0,0.0,135.0,7.0,17.0,74.0,47.0,7.0,135.0,89.0,5.0,5.0,0.0,103.0,4.0,6.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,11.0,0.0,3.0,0.0
-Mateo Retegui,it ITA,FW,Genoa,24-133,1999,3.0,3.0,233.0,1.0,0.0,0.0,0.0,1.0,0.0,0.39,0.0,0.39,0.39,0.39,0.5,0.5,0.19,0.19,2.6,4.0,0.0,100.0,1.55,0.25,0.25,0.12,0.5,0.5,23.0,35.0,65.7,329.0,31.0,16.0,21.0,76.2,4.0,7.0,57.1,2.0,2.0,100.0,1.0,0.0,0.0,0.0,0.0,31.0,3.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,1.0,0.39,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,58.0,1.0,5.0,27.0,26.0,5.0,58.0,26.0,1.0,0.0,0.0,39.0,7.0,1.0,0.0,2.0,1.0,1.0,0.0,0.0,0.0,2.0,7.0,10.0,41.2
-Samuele Ricci,it ITA,MF,Torino,22-019,2001,3.0,3.0,247.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.36,0.36,0.0,0.36,0.0,0.0,0.02,0.02,2.7,1.0,0.0,33.3,0.36,0.0,0.0,0.01,0.0,0.0,113.0,135.0,83.7,1885.0,584.0,51.0,57.0,89.5,48.0,52.0,92.3,10.0,16.0,62.5,2.0,14.0,1.0,0.0,15.0,123.0,12.0,8.0,0.0,1.0,7.0,4.0,3.0,0.0,0.0,0.0,0.0,5.0,7.0,2.55,5.0,1.0,1.0,0.0,1.0,0.36,0.0,0.0,1.0,0.0,0.0,3.0,2.0,2.0,1.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,148.0,3.0,20.0,93.0,35.0,1.0,148.0,100.0,4.0,2.0,0.0,96.0,2.0,2.0,0.0,5.0,1.0,1.0,0.0,0.0,0.0,20.0,1.0,0.0,100.0
-Ricardo Rodríguez,ch SUI,DF,Torino,31-015,1992,3.0,3.0,254.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.05,0.05,2.8,0.0,1.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,153.0,175.0,87.4,2451.0,1023.0,78.0,82.0,95.1,62.0,70.0,88.6,10.0,20.0,50.0,1.0,14.0,1.0,1.0,18.0,173.0,2.0,2.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.42,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,1.0,2.0,0.0,3.0,2.0,1.0,1.0,5.0,0.0,192.0,12.0,65.0,103.0,24.0,0.0,192.0,134.0,7.0,11.0,0.0,146.0,0.0,1.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,9.0,6.0,3.0,66.7
-Alessio Romagnoli,it ITA,DF,Lazio,28-240,1995,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,193.0,209.0,92.3,3115.0,1370.0,97.0,101.0,96.0,82.0,89.0,92.1,12.0,17.0,70.6,0.0,12.0,1.0,0.0,21.0,191.0,18.0,6.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,3.0,0.0,0.0,0.0,1.0,0.33,1.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,4.0,4.0,0.0,2.0,14.0,0.0,232.0,39.0,91.0,139.0,2.0,1.0,232.0,139.0,5.0,0.0,0.0,154.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,12.0,6.0,3.0,66.7
-Simone Romagnoli,it ITA,DF,Frosinone,33-212,1990,3.0,3.0,270.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.33,0.33,0.0,0.33,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,108.0,120.0,90.0,1737.0,656.0,55.0,59.0,93.2,46.0,49.0,93.9,5.0,9.0,55.6,2.0,1.0,0.0,0.0,2.0,107.0,13.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.33,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,4.0,1.0,0.0,3.0,3.0,0.0,1.0,12.0,0.0,145.0,27.0,81.0,61.0,3.0,2.0,145.0,49.0,0.0,0.0,0.0,85.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,3.0,6.0,33.3
-Marten de Roon,nl NED,MF,Atalanta,32-164,1991,3.0,3.0,270.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,3.0,1.0,0.0,50.0,0.33,0.0,0.0,0.03,-0.1,-0.1,166.0,198.0,83.8,3164.0,900.0,65.0,73.0,89.0,81.0,89.0,91.0,19.0,29.0,65.5,3.0,16.0,3.0,0.0,24.0,193.0,4.0,3.0,0.0,6.0,2.0,0.0,0.0,0.0,0.0,1.0,1.0,3.0,4.0,1.33,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,2.0,4.0,0.0,3.0,0.0,3.0,6.0,3.0,0.0,223.0,7.0,45.0,132.0,47.0,0.0,223.0,145.0,4.0,5.0,0.0,156.0,2.0,0.0,0.0,5.0,2.0,1.0,0.0,0.0,0.0,19.0,4.0,2.0,66.7
-Amir Rrahmani,xk KVX,DF,Napoli,29-197,1994,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,228.0,259.0,88.0,4278.0,1464.0,88.0,92.0,95.7,112.0,122.0,91.8,27.0,41.0,65.9,1.0,16.0,0.0,0.0,13.0,251.0,7.0,5.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,8.0,2.67,6.0,0.0,1.0,0.0,2.0,0.67,2.0,0.0,0.0,0.0,0.0,3.0,3.0,1.0,2.0,0.0,3.0,0.0,3.0,4.0,4.0,0.0,276.0,21.0,105.0,163.0,8.0,6.0,276.0,201.0,0.0,0.0,0.0,208.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,25.0,6.0,2.0,75.0
-Ruan,br BRA,DF,Sassuolo,24-094,1999,2.0,2.0,180.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,60.0,67.0,89.6,1037.0,388.0,28.0,31.0,90.3,25.0,26.0,96.2,5.0,6.0,83.3,1.0,5.0,0.0,0.0,3.0,54.0,13.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.5,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,2.0,0.0,2.0,1.0,1.0,4.0,9.0,0.0,85.0,20.0,53.0,33.0,1.0,1.0,85.0,25.0,0.0,0.0,0.0,31.0,0.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,10.0,4.0,3.0,57.1
-Matteo Ruggeri,it ITA,DF,Atalanta,21-060,2002,3.0,3.0,244.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.74,0.74,0.0,0.74,0.0,0.0,0.0,0.0,2.7,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,129.0,154.0,83.8,1971.0,646.0,62.0,73.0,84.9,58.0,65.0,89.2,8.0,13.0,61.5,4.0,5.0,3.0,3.0,15.0,127.0,27.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0,0.0,27.0,0.0,0.0,10.0,3.69,9.0,1.0,0.0,0.0,4.0,1.48,3.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,1.0,7.0,0.0,7.0,2.0,3.0,0.0,174.0,3.0,30.0,57.0,88.0,2.0,174.0,106.0,4.0,4.0,1.0,114.0,3.0,1.0,0.0,4.0,0.0,1.0,0.0,0.0,0.0,10.0,1.0,6.0,14.3
-Mário Rui,pt POR,DF,Napoli,32-105,1991,2.0,0.0,40.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,27.0,34.0,79.4,427.0,127.0,15.0,17.0,88.2,9.0,9.0,100.0,2.0,4.0,50.0,1.0,2.0,0.0,0.0,2.0,28.0,6.0,4.0,0.0,0.0,4.0,1.0,0.0,1.0,0.0,1.0,0.0,3.0,1.0,2.25,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,0.0,2.0,2.0,0.0,2.0,0.0,0.0,0.0,40.0,0.0,4.0,21.0,15.0,1.0,40.0,16.0,0.0,0.0,0.0,22.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
-Stefano Sabelli,it ITA,DF,Genoa,30-239,1993,2.0,2.0,170.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,32.0,57.0,56.1,643.0,270.0,15.0,22.0,68.2,12.0,19.0,63.2,5.0,15.0,33.3,0.0,4.0,0.0,0.0,2.0,45.0,12.0,1.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,11.0,0.0,1.0,2.0,1.06,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,4.0,6.0,0.0,76.0,11.0,34.0,37.0,5.0,0.0,76.0,31.0,1.0,0.0,0.0,37.0,5.0,0.0,0.0,5.0,4.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0
-Lazar Samardzic,rs SRB,MF,Udinese,21-197,2002,3.0,2.0,213.0,1.0,0.0,0.0,0.0,0.0,0.0,0.42,0.0,0.42,0.42,0.42,0.3,0.3,0.14,0.14,2.4,4.0,2.0,57.1,1.69,0.14,0.25,0.05,0.7,0.7,74.0,99.0,74.7,1308.0,388.0,36.0,45.0,80.0,20.0,24.0,83.3,13.0,21.0,61.9,7.0,11.0,2.0,1.0,6.0,89.0,10.0,1.0,1.0,3.0,6.0,7.0,3.0,0.0,0.0,2.0,0.0,2.0,17.0,7.18,10.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,121.0,1.0,20.0,48.0,55.0,3.0,121.0,77.0,4.0,4.0,1.0,84.0,6.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,13.0,1.0,2.0,33.3
-Junior Sambia,fr FRA,MF,Salernitana,27-002,1996,1.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,6.0,83.3,69.0,23.0,3.0,3.0,100.0,2.0,2.0,100.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,11.0,3.0,5.0,2.0,4.0,0.0,11.0,6.0,0.0,1.0,0.0,6.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,50.0
-Antonio Sanabria,py PAR,FW,Torino,27-189,1996,2.0,2.0,107.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.09,0.09,1.2,1.0,0.0,100.0,0.84,0.0,0.0,0.11,-0.1,-0.1,18.0,30.0,60.0,254.0,12.0,13.0,18.0,72.2,5.0,7.0,71.4,0.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,28.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.84,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,38.0,0.0,1.0,19.0,18.0,3.0,38.0,20.0,0.0,0.0,0.0,31.0,2.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,3.0,9.0,25.0
-Renato Sanches,pt POR,MF,Roma,26-022,1997,1.0,0.0,26.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.06,0.06,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,11.0,12.0,91.7,158.0,40.0,6.0,6.0,100.0,5.0,5.0,100.0,0.0,1.0,0.0,1.0,2.0,1.0,1.0,1.0,12.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,6.92,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,20.0,0.0,6.0,6.0,9.0,1.0,20.0,10.0,1.0,1.0,0.0,12.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0
-Alex Sandro,br BRA,DF,Juventus,32-226,1991,2.0,2.0,180.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,143.0,167.0,85.6,2364.0,821.0,67.0,72.0,93.1,64.0,67.0,95.5,12.0,24.0,50.0,2.0,16.0,5.0,2.0,18.0,145.0,21.0,6.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,13.0,1.0,1.0,2.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,2.0,0.0,2.0,1.0,1.0,5.0,5.0,0.0,182.0,13.0,45.0,109.0,28.0,2.0,182.0,109.0,7.0,4.0,0.0,126.0,2.0,3.0,0.0,4.0,3.0,0.0,0.0,0.0,0.0,13.0,2.0,1.0,66.7
-Riccardo Saponara,it ITA,"FW,MF",Hellas Verona,31-262,1991,2.0,0.0,25.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.06,0.06,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,10.0,11.0,90.9,139.0,18.0,6.0,7.0,85.7,4.0,4.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,15.0,0.0,3.0,8.0,6.0,0.0,15.0,12.0,3.0,3.0,0.0,10.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
-Giorgio Scalvini,it ITA,DF,Atalanta,19-272,2003,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.13,0.13,3.0,1.0,0.0,50.0,0.33,0.0,0.0,0.2,-0.4,-0.4,146.0,167.0,87.4,2293.0,713.0,67.0,73.0,91.8,70.0,78.0,89.7,5.0,9.0,55.6,0.0,4.0,0.0,0.0,5.0,159.0,8.0,6.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,2.0,0.67,1.0,0.0,1.0,0.0,1.0,0.33,0.0,0.0,1.0,0.0,0.0,8.0,3.0,6.0,2.0,0.0,9.0,3.0,6.0,3.0,9.0,0.0,203.0,12.0,96.0,92.0,18.0,5.0,203.0,111.0,4.0,2.0,1.0,118.0,2.0,0.0,0.0,4.0,0.0,1.0,0.0,0.0,0.0,21.0,10.0,5.0,66.7
-Gianluca Scamacca,it ITA,FW,Atalanta,24-251,1999,3.0,1.0,133.0,2.0,0.0,0.0,0.0,0.0,0.0,1.35,0.0,1.35,1.35,1.35,0.9,0.9,0.59,0.59,1.5,3.0,0.0,33.3,2.03,0.22,0.67,0.1,1.1,1.1,35.0,51.0,68.6,696.0,100.0,15.0,24.0,62.5,10.0,13.0,76.9,8.0,9.0,88.9,2.0,3.0,0.0,0.0,3.0,48.0,2.0,1.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,7.0,4.77,7.0,0.0,0.0,0.0,1.0,0.68,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,1.0,1.0,0.0,79.0,1.0,3.0,31.0,46.0,14.0,79.0,56.0,4.0,1.0,1.0,67.0,5.0,5.0,0.0,3.0,4.0,1.0,0.0,0.0,0.0,2.0,5.0,6.0,45.5
-Perr Schuurs,nl NED,DF,Torino,23-287,1999,3.0,3.0,270.0,1.0,0.0,0.0,0.0,0.0,0.0,0.33,0.0,0.33,0.33,0.33,0.6,0.6,0.21,0.21,3.0,1.0,0.0,25.0,0.33,0.25,1.0,0.16,0.4,0.4,109.0,124.0,87.9,1901.0,559.0,42.0,47.0,89.4,59.0,63.0,93.7,6.0,12.0,50.0,0.0,5.0,0.0,0.0,8.0,118.0,6.0,5.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.33,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,4.0,3.0,3.0,1.0,4.0,0.0,4.0,3.0,6.0,0.0,155.0,13.0,65.0,78.0,16.0,2.0,155.0,90.0,4.0,3.0,0.0,90.0,4.0,2.0,0.0,2.0,0.0,0.0,0.0,1.0,0.0,15.0,2.0,4.0,33.3
-Demba Seck,sn SEN,MF,Torino,22-211,2001,1.0,0.0,27.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,8.0,87.5,107.0,2.0,5.0,6.0,83.3,1.0,1.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,12.0,0.0,1.0,9.0,3.0,0.0,12.0,10.0,0.0,0.0,0.0,8.0,1.0,1.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
-Vivaldo Semedo,pt POR,FW,Udinese,18-224,2005,1.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,2.0,1.0,1.0,3.0,3.0,1.0,0.0,1.0,3.0,1.0,2.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Stefano Sensi,it ITA,MF,Inter,28-035,1995,1.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,12.0,83.3,190.0,34.0,4.0,4.0,100.0,5.0,7.0,71.4,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,1.0,3.0,8.0,1.0,0.0,12.0,10.0,1.0,1.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Suat Serdar,de GER,MF,Hellas Verona,26-151,1997,2.0,0.0,83.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,19.0,84.2,288.0,65.0,7.0,7.0,100.0,6.0,8.0,75.0,2.0,2.0,100.0,0.0,2.0,0.0,0.0,2.0,19.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,1.0,1.0,0.0,0.0,0.0,2.0,2.0,0.0,30.0,4.0,10.0,15.0,5.0,0.0,30.0,17.0,0.0,0.0,0.0,19.0,3.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,3.0,25.0
-Stephan El Shaarawy,it ITA,"FW,DF",Roma,30-317,1992,3.0,2.0,205.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.14,0.14,2.3,2.0,1.0,40.0,0.88,0.0,0.0,0.06,-0.3,-0.3,59.0,70.0,84.3,951.0,161.0,39.0,46.0,84.8,12.0,14.0,85.7,7.0,7.0,100.0,3.0,1.0,2.0,1.0,5.0,69.0,1.0,0.0,0.0,4.0,3.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,7.0,3.07,6.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,85.0,1.0,5.0,39.0,42.0,6.0,85.0,65.0,5.0,1.0,4.0,74.0,2.0,1.0,0.0,2.0,4.0,1.0,0.0,0.0,0.0,4.0,1.0,2.0,33.3
-Eldor Shomurodov,uz UZB,"FW,MF",Cagliari,28-072,1995,3.0,0.0,80.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,16.0,81.3,152.0,29.0,10.0,11.0,90.9,3.0,5.0,60.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,2.0,14.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.13,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,24.0,0.0,2.0,17.0,6.0,3.0,24.0,16.0,2.0,0.0,1.0,17.0,4.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,2.0,0.0
-Steven Shpendi,al ALB,"FW,MF",Empoli,20-113,2003,2.0,0.0,38.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.04,0.4,1.0,0.0,100.0,2.37,0.0,0.0,0.02,0.0,0.0,5.0,7.0,71.4,64.0,26.0,4.0,5.0,80.0,1.0,1.0,100.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,6.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,4.74,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,11.0,0.0,1.0,8.0,2.0,0.0,11.0,10.0,0.0,0.0,0.0,7.0,0.0,2.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0
-Marco Silvestri,it ITA,GK,Udinese,32-191,1991,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,67.0,91.0,73.6,1784.0,1344.0,14.0,15.0,93.3,37.0,38.0,97.4,16.0,38.0,42.1,0.0,0.0,0.0,0.0,0.0,64.0,27.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.33,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,98.0,88.0,98.0,0.0,0.0,0.0,98.0,50.0,0.0,0.0,0.0,43.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0
-Giovanni Simeone,ar ARG,"FW,MF",Napoli,28-066,1995,3.0,0.0,24.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.41,0.41,0.3,2.0,0.0,100.0,7.5,0.0,0.0,0.06,-0.1,-0.1,7.0,10.0,70.0,93.0,39.0,4.0,4.0,100.0,2.0,2.0,100.0,0.0,0.0,0.0,1.0,2.0,1.0,0.0,4.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,7.5,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,2.0,0.0,2.0,0.0,0.0,0.0,17.0,0.0,0.0,6.0,11.0,5.0,17.0,11.0,2.0,1.0,1.0,13.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,100.0
-Leo Skiri Østigård,no NOR,"DF,MF",Napoli,23-285,1999,2.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,6.0,83.3,75.0,30.0,2.0,2.0,100.0,3.0,4.0,75.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,8.0,1.0,5.0,3.0,0.0,0.0,8.0,5.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Łukasz Skorupski,pl POL,GK,Bologna,32-127,1991,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,60.0,83.0,72.3,1598.0,1288.0,16.0,16.0,100.0,25.0,25.0,100.0,19.0,41.0,46.3,0.0,0.0,0.0,0.0,0.0,56.0,26.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,88.0,82.0,88.0,0.0,0.0,0.0,88.0,43.0,0.0,0.0,0.0,41.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Chris Smalling,eng ENG,DF,Roma,33-291,1989,3.0,3.0,244.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,2.7,1.0,0.0,100.0,0.37,0.0,0.0,0.05,0.0,0.0,138.0,156.0,88.5,2681.0,1000.0,43.0,51.0,84.3,85.0,89.0,95.5,9.0,13.0,69.2,1.0,6.0,0.0,0.0,10.0,152.0,4.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.37,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,4.0,3.0,0.0,174.0,11.0,70.0,93.0,11.0,6.0,174.0,107.0,1.0,2.0,0.0,120.0,1.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,17.0,13.0,3.0,81.3
-Ola Solbakken,no NOR,FW,Roma,25-002,1998,1.0,0.0,23.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,8.0,75.0,96.0,4.0,4.0,5.0,80.0,1.0,1.0,100.0,1.0,1.0,100.0,0.0,1.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.91,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,2.0,2.0,4.0,0.0,8.0,5.0,1.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,0.0
-Yann Sommer,ch SUI,GK,Inter,34-266,1988,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,88.0,103.0,85.4,2420.0,1640.0,15.0,15.0,100.0,43.0,44.0,97.7,29.0,42.0,69.0,0.0,0.0,0.0,0.0,0.0,76.0,26.0,5.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.33,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,106.0,88.0,106.0,0.0,0.0,0.0,106.0,67.0,0.0,0.0,0.0,64.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Riccardo Sottil,it ITA,FW,Fiorentina,24-098,1999,3.0,1.0,128.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.24,0.24,1.4,3.0,1.0,100.0,2.11,0.0,0.0,0.11,-0.3,-0.3,34.0,42.0,81.0,491.0,116.0,19.0,19.0,100.0,12.0,13.0,92.3,1.0,1.0,100.0,0.0,3.0,0.0,0.0,4.0,42.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,2.0,1.41,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,55.0,0.0,3.0,23.0,32.0,7.0,55.0,45.0,9.0,5.0,2.0,44.0,2.0,2.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,7.0,0.0,1.0,0.0
-Matìas Soulé,ar ARG,FW,Frosinone,20-147,2003,1.0,1.0,63.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.43,0.43,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.3,-0.3,-0.3,24.0,28.0,85.7,324.0,140.0,16.0,17.0,94.1,6.0,9.0,66.7,1.0,1.0,100.0,1.0,1.0,1.0,0.0,5.0,26.0,2.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,2.0,2.86,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,2.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,37.0,0.0,6.0,14.0,20.0,4.0,37.0,20.0,5.0,6.0,1.0,27.0,3.0,1.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,0.0
-Leonardo Spinazzola,it ITA,"DF,FW",Roma,30-168,1993,3.0,1.0,130.0,1.0,0.0,0.0,0.0,0.0,0.0,0.69,0.0,0.69,0.69,0.69,0.1,0.1,0.05,0.05,1.4,1.0,0.0,50.0,0.69,0.5,1.0,0.03,0.9,0.9,76.0,96.0,79.2,1384.0,371.0,33.0,35.0,94.3,35.0,42.0,83.3,8.0,16.0,50.0,3.0,5.0,4.0,1.0,7.0,81.0,15.0,0.0,0.0,2.0,13.0,0.0,0.0,0.0,0.0,15.0,0.0,2.0,9.0,6.23,7.0,1.0,0.0,0.0,1.0,0.69,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,2.0,0.0,2.0,0.0,2.0,1.0,2.0,0.0,113.0,4.0,22.0,52.0,40.0,2.0,113.0,70.0,17.0,9.0,1.0,70.0,2.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,11.0,3.0,0.0,100.0
-Gabriel Strefezza,br BRA,FW,Lecce,26-144,1997,3.0,2.0,195.0,1.0,0.0,1.0,1.0,1.0,0.0,0.46,0.0,0.46,0.0,0.0,1.2,0.4,0.56,0.2,2.2,1.0,1.0,16.7,0.46,0.0,0.0,0.07,-0.2,-0.4,48.0,67.0,71.6,781.0,218.0,27.0,30.0,90.0,14.0,22.0,63.6,6.0,11.0,54.5,8.0,1.0,4.0,3.0,5.0,46.0,20.0,6.0,0.0,0.0,13.0,8.0,3.0,0.0,0.0,1.0,1.0,0.0,14.0,6.46,10.0,2.0,1.0,1.0,1.0,0.46,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,4.0,0.0,2.0,0.0,92.0,0.0,2.0,27.0,64.0,10.0,91.0,54.0,10.0,6.0,2.0,58.0,5.0,4.0,0.0,7.0,5.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,0.0
-Kevin Strootman,nl NED,MF,Genoa,33-208,1990,2.0,2.0,126.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,29.0,36.0,80.6,488.0,136.0,17.0,20.0,85.0,11.0,12.0,91.7,1.0,3.0,33.3,0.0,1.0,0.0,0.0,3.0,36.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.71,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,3.0,3.0,0.0,3.0,0.0,3.0,1.0,3.0,0.0,50.0,5.0,14.0,36.0,0.0,0.0,50.0,26.0,1.0,0.0,0.0,32.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,1.0,50.0
-Isaac Success,ng NGA,FW,Udinese,27-245,1996,3.0,0.0,65.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.42,0.42,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.31,-0.3,-0.3,9.0,11.0,81.8,158.0,18.0,4.0,4.0,100.0,3.0,3.0,100.0,1.0,2.0,50.0,1.0,0.0,1.0,0.0,2.0,10.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,2.77,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,19.0,1.0,1.0,6.0,13.0,3.0,19.0,15.0,1.0,1.0,0.0,19.0,3.0,4.0,0.0,4.0,4.0,0.0,0.0,0.0,0.0,1.0,2.0,3.0,40.0
-Ibrahim Sulemana,gh GHA,MF,Cagliari,20-110,2003,3.0,3.0,264.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.05,0.05,2.9,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.1,-0.1,78.0,105.0,74.3,1479.0,258.0,31.0,37.0,83.8,36.0,41.0,87.8,10.0,17.0,58.8,1.0,5.0,1.0,1.0,5.0,104.0,1.0,1.0,0.0,3.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,1.0,0.34,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,4.0,1.0,0.0,6.0,1.0,5.0,1.0,5.0,0.0,135.0,10.0,47.0,69.0,23.0,2.0,135.0,70.0,4.0,2.0,0.0,66.0,2.0,2.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,30.0,0.0,4.0,0.0
-Wojciech Szczęsny,pl POL,GK,Juventus,33-144,1990,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28.0,37.0,75.7,723.0,495.0,5.0,5.0,100.0,15.0,15.0,100.0,8.0,17.0,47.1,0.0,0.0,0.0,0.0,0.0,31.0,6.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,41.0,35.0,41.0,0.0,0.0,0.0,41.0,21.0,0.0,0.0,0.0,21.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
-Przemysław Szymiński,pl POL,MF,Frosinone,29-077,1994,1.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,50.0,9.0,10.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,3.0,1.0,3.0,0.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Adrien Tameze,cm CMR,MF,Torino,29-217,1994,1.0,1.0,63.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,22.0,26.0,84.6,356.0,40.0,11.0,12.0,91.7,7.0,10.0,70.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,25.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,2.0,1.0,1.0,2.0,0.0,0.0,37.0,0.0,3.0,26.0,9.0,0.0,37.0,21.0,1.0,1.0,0.0,22.0,1.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0
-Loum Tchaouna,fr FRA,FW,Salernitana,20-001,2003,1.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,16.7,24.0,3.0,0.0,3.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,2.0,2.0,5.0,1.0,8.0,8.0,0.0,2.0,0.0,5.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0
-Filippo Terracciano,it ITA,DF,Hellas Verona,20-213,2003,3.0,2.0,157.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,1.7,1.0,0.0,100.0,0.57,0.0,0.0,0.02,0.0,0.0,46.0,66.0,69.7,835.0,464.0,21.0,25.0,84.0,19.0,28.0,67.9,5.0,11.0,45.5,2.0,6.0,2.0,2.0,5.0,49.0,17.0,1.0,0.0,1.0,4.0,1.0,0.0,0.0,0.0,15.0,0.0,1.0,6.0,3.44,3.0,0.0,1.0,1.0,1.0,0.57,0.0,0.0,1.0,0.0,0.0,7.0,5.0,6.0,1.0,0.0,6.0,0.0,6.0,2.0,1.0,0.0,90.0,3.0,29.0,37.0,25.0,0.0,90.0,48.0,3.0,3.0,0.0,44.0,1.0,5.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,7.0,6.0,1.0,85.7
-Pietro Terracciano,it ITA,GK,Fiorentina,33-185,1990,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,48.0,51.0,94.1,1346.0,722.0,3.0,3.0,100.0,27.0,27.0,100.0,18.0,21.0,85.7,0.0,0.0,0.0,0.0,0.0,44.0,7.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,52.0,47.0,52.0,0.0,0.0,0.0,52.0,37.0,0.0,0.0,0.0,37.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
-Florian Thauvin,fr FRA,FW,Udinese,30-226,1993,3.0,3.0,232.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.9,0.33,0.33,2.6,4.0,1.0,44.4,1.55,0.0,0.0,0.1,-0.9,-0.9,52.0,67.0,77.6,967.0,325.0,23.0,28.0,82.1,19.0,24.0,79.2,9.0,10.0,90.0,2.0,9.0,4.0,2.0,11.0,61.0,6.0,0.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,9.0,3.49,7.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,1.0,2.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,107.0,0.0,2.0,48.0,59.0,12.0,107.0,56.0,5.0,5.0,1.0,68.0,6.0,7.0,0.0,2.0,2.0,1.0,0.0,0.0,0.0,8.0,5.0,5.0,50.0
-Malick Thiaw,de GER,DF,Milan,22-032,2001,3.0,3.0,255.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,160.0,175.0,91.4,3050.0,888.0,47.0,49.0,95.9,99.0,102.0,97.1,13.0,20.0,65.0,1.0,5.0,1.0,0.0,15.0,170.0,5.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,1.06,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,4.0,2.0,3.0,0.0,4.0,1.0,3.0,4.0,8.0,0.0,198.0,18.0,105.0,90.0,4.0,0.0,198.0,134.0,4.0,2.0,0.0,147.0,0.0,1.0,0.0,4.0,2.0,0.0,0.0,0.0,0.0,16.0,4.0,0.0,100.0
-Morten Thorsby,no NOR,MF,Genoa,27-127,1996,3.0,1.0,144.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.05,0.05,1.6,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,21.0,45.0,46.7,352.0,108.0,7.0,21.0,33.3,10.0,14.0,71.4,1.0,4.0,25.0,0.0,3.0,0.0,0.0,4.0,45.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.62,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,1.0,0.0,6.0,0.0,6.0,1.0,5.0,0.0,68.0,5.0,11.0,38.0,19.0,1.0,68.0,24.0,0.0,1.0,0.0,39.0,2.0,2.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,5.0,8.0,6.0,57.1
-Kristian Thorstvedt,no NOR,MF,Sassuolo,24-180,1999,3.0,1.0,108.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.13,0.13,1.2,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.2,-0.2,40.0,51.0,78.4,714.0,370.0,22.0,25.0,88.0,14.0,17.0,82.4,4.0,5.0,80.0,4.0,10.0,0.0,0.0,9.0,50.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,8.0,6.67,5.0,0.0,2.0,0.0,1.0,0.83,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,61.0,3.0,11.0,35.0,16.0,4.0,61.0,31.0,2.0,1.0,1.0,49.0,2.0,2.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,6.0,5.0,4.0,55.6
-Marcus Thuram,fr FRA,FW,Inter,26-034,1997,3.0,3.0,211.0,1.0,2.0,0.0,0.0,0.0,0.0,0.43,0.85,1.28,0.43,1.28,1.7,1.7,0.71,0.71,2.3,2.0,0.0,25.0,0.85,0.13,0.5,0.21,-0.7,-0.7,34.0,44.0,77.3,441.0,118.0,18.0,23.0,78.3,10.0,13.0,76.9,1.0,3.0,33.3,3.0,1.0,1.0,0.0,6.0,44.0,0.0,0.0,2.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,3.84,4.0,0.0,1.0,4.0,4.0,1.71,3.0,0.0,0.0,1.0,0.0,2.0,1.0,2.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,69.0,1.0,4.0,24.0,42.0,20.0,69.0,43.0,7.0,4.0,5.0,56.0,5.0,4.0,0.0,2.0,5.0,0.0,1.0,0.0,0.0,7.0,4.0,4.0,50.0
-Jeremy Toljan,de GER,DF,Sassuolo,29-032,1994,3.0,3.0,270.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.33,0.33,0.0,0.33,0.0,0.0,0.01,0.01,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,97.0,126.0,77.0,1524.0,697.0,48.0,50.0,96.0,36.0,48.0,75.0,8.0,18.0,44.4,2.0,6.0,1.0,0.0,7.0,104.0,21.0,3.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,18.0,1.0,2.0,4.0,1.33,4.0,0.0,0.0,0.0,1.0,0.33,1.0,0.0,0.0,0.0,0.0,4.0,2.0,2.0,1.0,1.0,2.0,0.0,2.0,2.0,3.0,0.0,146.0,4.0,54.0,68.0,24.0,4.0,146.0,70.0,8.0,5.0,2.0,90.0,5.0,3.0,0.0,1.0,2.0,0.0,0.0,1.0,0.0,15.0,0.0,2.0,0.0
-Fikayo Tomori,eng ENG,DF,Milan,25-264,1997,3.0,3.0,240.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,2.7,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,208.0,221.0,94.1,3569.0,989.0,81.0,87.0,93.1,116.0,118.0,98.3,11.0,15.0,73.3,0.0,2.0,0.0,0.0,4.0,208.0,13.0,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,2.0,1.0,1.0,5.0,4.0,0.0,237.0,27.0,153.0,81.0,3.0,1.0,237.0,159.0,1.0,2.0,0.0,181.0,1.0,0.0,1.0,6.0,0.0,0.0,0.0,0.0,0.0,18.0,4.0,4.0,50.0
-Stefano Turati,it ITA,GK,Frosinone,22-004,2001,2.0,2.0,180.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,50.0,71.0,70.4,1008.0,787.0,25.0,25.0,100.0,14.0,15.0,93.3,10.0,30.0,33.3,0.0,0.0,0.0,0.0,0.0,60.0,11.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,78.0,74.0,78.0,0.0,0.0,0.0,78.0,47.0,0.0,0.0,0.0,39.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Kacper Urbanski,pl POL,MF,Bologna,19-002,2004,2.0,0.0,28.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.12,0.12,0.3,1.0,0.0,100.0,3.21,0.0,0.0,0.04,0.0,0.0,13.0,15.0,86.7,213.0,33.0,7.0,8.0,87.5,2.0,3.0,66.7,2.0,2.0,100.0,0.0,1.0,0.0,0.0,1.0,15.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,18.0,1.0,3.0,11.0,6.0,2.0,18.0,14.0,1.0,1.0,0.0,14.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
-Johan Vásquez,mx MEX,DF,Genoa,24-322,1998,3.0,2.0,211.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,66.0,90.0,73.3,1277.0,537.0,26.0,29.0,89.7,32.0,35.0,91.4,8.0,21.0,38.1,0.0,5.0,0.0,0.0,4.0,74.0,16.0,3.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,13.0,0.0,3.0,1.0,0.42,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,3.0,1.0,0.0,6.0,0.0,6.0,3.0,14.0,0.0,123.0,14.0,49.0,58.0,17.0,1.0,123.0,58.0,3.0,3.0,0.0,64.0,3.0,2.0,0.0,2.0,5.0,0.0,0.0,0.0,0.0,12.0,3.0,1.0,75.0
-Matías Vecino,uy URU,MF,Lazio,32-016,1991,2.0,0.0,61.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.32,0.32,0.7,1.0,0.0,33.3,1.48,0.0,0.0,0.07,-0.2,-0.2,23.0,30.0,76.7,391.0,136.0,12.0,16.0,75.0,9.0,11.0,81.8,2.0,2.0,100.0,0.0,5.0,0.0,0.0,5.0,28.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,1.48,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,0.0,3.0,0.0,2.0,1.0,1.0,0.0,0.0,0.0,39.0,1.0,3.0,22.0,14.0,2.0,39.0,21.0,1.0,2.0,0.0,20.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,4.0,42.9
-Simone Verdi,it ITA,FW,Torino,31-059,1992,1.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,7.0,5.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,22.5,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Samuele Vignato,it ITA,MF,Monza,19-197,2004,2.0,0.0,40.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.97,0.97,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.43,-0.4,-0.4,20.0,21.0,95.2,194.0,14.0,17.0,18.0,94.4,2.0,2.0,100.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,20.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,2.25,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,25.0,0.0,0.0,16.0,9.0,1.0,25.0,16.0,1.0,0.0,0.0,23.0,1.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0
-Matías Viña,uy URU,DF,Sassuolo,25-304,1997,3.0,3.0,169.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,72.0,106.0,67.9,1168.0,578.0,38.0,43.0,88.4,30.0,42.0,71.4,4.0,15.0,26.7,0.0,3.0,2.0,0.0,9.0,85.0,21.0,5.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,16.0,0.0,6.0,3.0,1.6,2.0,1.0,0.0,0.0,1.0,0.53,1.0,0.0,0.0,0.0,0.0,4.0,4.0,4.0,0.0,0.0,3.0,0.0,3.0,5.0,5.0,0.0,130.0,9.0,59.0,40.0,31.0,3.0,130.0,58.0,5.0,3.0,1.0,77.0,4.0,3.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,7.0,1.0,3.0,25.0
-Mattia Viti,it ITA,DF,Sassuolo,21-228,2002,1.0,1.0,76.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,30.0,30.0,100.0,483.0,126.0,13.0,13.0,100.0,16.0,16.0,100.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,23.0,7.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,2.0,1.0,4.0,0.0,38.0,13.0,28.0,11.0,0.0,0.0,38.0,17.0,0.0,0.0,0.0,19.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0
-Dušan Vlahović,rs SRB,FW,Juventus,23-224,2000,3.0,3.0,244.0,2.0,1.0,1.0,2.0,1.0,0.0,0.74,0.37,1.11,0.37,0.74,1.9,0.3,0.71,0.13,2.7,3.0,0.0,42.9,1.11,0.14,0.33,0.05,0.1,0.7,34.0,52.0,65.4,498.0,94.0,20.0,25.0,80.0,12.0,17.0,70.6,1.0,5.0,20.0,2.0,1.0,1.0,0.0,6.0,47.0,4.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,7.0,2.58,7.0,0.0,0.0,0.0,1.0,0.37,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,72.0,1.0,4.0,30.0,38.0,17.0,70.0,45.0,3.0,2.0,2.0,50.0,5.0,2.0,0.0,3.0,1.0,3.0,0.0,0.0,0.0,7.0,0.0,1.0,0.0
-Nikola Vlašić,hr CRO,MF,Torino,25-340,1997,3.0,3.0,220.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.09,0.09,2.4,0.0,1.0,0.0,0.0,0.0,0.0,0.06,-0.2,-0.2,59.0,85.0,69.4,849.0,228.0,31.0,40.0,77.5,22.0,28.0,78.6,2.0,4.0,50.0,0.0,9.0,0.0,0.0,11.0,84.0,0.0,0.0,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,2.0,0.82,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,98.0,0.0,5.0,45.0,50.0,8.0,98.0,73.0,3.0,2.0,1.0,81.0,4.0,2.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,13.0,5.0,2.0,71.4
-Mërgim Vojvoda,xk KVX,DF,Torino,28-220,1995,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.05,0.05,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.2,-0.2,129.0,170.0,75.9,2136.0,845.0,69.0,78.0,88.5,52.0,65.0,80.0,7.0,19.0,36.8,2.0,5.0,7.0,0.0,22.0,145.0,23.0,2.0,0.0,6.0,9.0,1.0,1.0,0.0,0.0,20.0,2.0,3.0,3.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,2.0,0.0,2.0,2.0,3.0,0.0,182.0,5.0,38.0,83.0,63.0,2.0,182.0,115.0,8.0,8.0,0.0,124.0,1.0,0.0,0.0,3.0,1.0,1.0,0.0,0.0,0.0,13.0,1.0,1.0,50.0
-Cristian Volpato,it ITA,FW,Sassuolo,19-298,2003,1.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,12.0,100.0,238.0,41.0,4.0,4.0,100.0,7.0,7.0,100.0,1.0,1.0,100.0,0.0,1.0,0.0,0.0,2.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,1.0,1.0,11.0,3.0,0.0,15.0,13.0,1.0,1.0,0.0,13.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Stefan de Vrij,nl NED,DF,Inter,31-216,1992,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,122.0,139.0,87.8,2079.0,594.0,53.0,56.0,94.6,62.0,68.0,91.2,4.0,10.0,40.0,0.0,1.0,0.0,0.0,5.0,137.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.33,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,6.0,3.0,3.0,5.0,8.0,0.0,166.0,16.0,88.0,73.0,6.0,4.0,166.0,91.0,0.0,2.0,0.0,97.0,1.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,20.0,9.0,3.0,75.0
-Walace,br BRA,MF,Udinese,28-158,1995,3.0,3.0,270.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,3.0,1.0,0.0,16.7,0.33,0.0,0.0,0.02,-0.1,-0.1,120.0,141.0,85.1,2323.0,756.0,45.0,50.0,90.0,60.0,71.0,84.5,14.0,18.0,77.8,1.0,24.0,2.0,0.0,15.0,138.0,3.0,3.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,1.33,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,2.0,0.0,2.0,9.0,1.0,0.0,166.0,4.0,31.0,111.0,25.0,0.0,166.0,111.0,7.0,5.0,0.0,112.0,0.0,1.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,16.0,2.0,0.0,100.0
-Sebastian Walukiewicz,pl POL,DF,Empoli,23-157,2000,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,59.0,64.0,92.2,1120.0,409.0,21.0,23.0,91.3,28.0,31.0,90.3,8.0,8.0,100.0,0.0,4.0,0.0,0.0,2.0,61.0,3.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,2.0,1.0,5.0,0.0,74.0,18.0,39.0,35.0,1.0,0.0,74.0,41.0,2.0,1.0,0.0,47.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,1.0,66.7
-Timothy Weah,us USA,DF,Juventus,23-199,2000,3.0,2.0,133.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.05,0.05,1.5,1.0,0.0,33.3,0.68,0.0,0.0,0.03,-0.1,-0.1,52.0,67.0,77.6,806.0,185.0,28.0,33.0,84.8,19.0,24.0,79.2,4.0,4.0,100.0,3.0,5.0,3.0,2.0,7.0,63.0,4.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,4.0,2.71,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,3.0,0.0,83.0,4.0,16.0,32.0,35.0,5.0,83.0,47.0,3.0,1.0,1.0,52.0,1.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,5.0,2.0,1.0,66.7
-Mateusz Wieteska,pl POL,DF,Cagliari,26-210,1997,1.0,1.0,90.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,27.0,33.0,81.8,575.0,282.0,9.0,10.0,90.0,12.0,17.0,70.6,5.0,5.0,100.0,2.0,2.0,0.0,0.0,0.0,33.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,3.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,2.0,2.0,0.0,40.0,7.0,22.0,17.0,1.0,1.0,40.0,20.0,2.0,0.0,0.0,25.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,1.0,66.7
-Kenan Yıldız,tr TUR,"MF,FW",Juventus,18-128,2005,2.0,0.0,15.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,5.0,80.0,53.0,26.0,3.0,4.0,75.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,2.0,6.0,0.0,0.0,8.0,5.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,50.0
-Mattia Zaccagni,it ITA,FW,Lazio,28-085,1995,3.0,3.0,250.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.08,0.08,2.8,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.2,-0.2,96.0,122.0,78.7,1294.0,263.0,56.0,67.0,83.6,28.0,33.0,84.8,5.0,10.0,50.0,5.0,4.0,3.0,2.0,5.0,116.0,6.0,3.0,1.0,0.0,7.0,2.0,0.0,0.0,0.0,1.0,0.0,4.0,12.0,4.32,8.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,2.0,2.0,0.0,4.0,1.0,3.0,8.0,4.0,0.0,157.0,5.0,20.0,64.0,77.0,11.0,157.0,101.0,13.0,7.0,4.0,115.0,5.0,3.0,0.0,4.0,7.0,2.0,0.0,0.0,0.0,8.0,3.0,1.0,75.0
-Nicola Zalewski,pl POL,"DF,FW",Roma,21-229,2002,3.0,2.0,166.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.08,0.08,1.8,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.2,-0.2,70.0,99.0,70.7,1210.0,413.0,28.0,29.0,96.6,36.0,48.0,75.0,5.0,12.0,41.7,1.0,4.0,5.0,0.0,7.0,77.0,22.0,3.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,19.0,0.0,6.0,4.0,2.17,2.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,5.0,1.0,4.0,0.0,3.0,2.0,1.0,1.0,1.0,0.0,119.0,6.0,24.0,56.0,40.0,8.0,119.0,61.0,10.0,5.0,4.0,72.0,2.0,0.0,0.0,3.0,8.0,0.0,0.0,0.0,0.0,10.0,4.0,1.0,80.0
-Andre-Frank Zambo Anguissa,cm CMR,MF,Napoli,27-297,1995,3.0,2.0,225.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.08,0.08,2.5,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.2,-0.2,163.0,186.0,87.6,2320.0,708.0,104.0,114.0,91.2,40.0,43.0,93.0,12.0,16.0,75.0,3.0,8.0,1.0,0.0,11.0,182.0,3.0,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,9.0,3.6,9.0,0.0,0.0,0.0,1.0,0.4,1.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,2.0,0.0,2.0,1.0,1.0,0.0,204.0,2.0,23.0,134.0,47.0,6.0,204.0,133.0,7.0,6.0,2.0,168.0,4.0,2.0,0.0,3.0,5.0,0.0,0.0,0.0,0.0,21.0,5.0,0.0,100.0
-Duván Zapata,co COL,FW,Torino,32-161,1991,1.0,1.0,63.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.09,0.09,0.7,1.0,0.0,100.0,1.43,0.0,0.0,0.06,-0.1,-0.1,11.0,13.0,84.6,129.0,14.0,6.0,6.0,100.0,3.0,4.0,75.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,11.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,1.43,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,22.0,2.0,2.0,6.0,14.0,4.0,22.0,11.0,0.0,1.0,0.0,14.0,2.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,50.0
-Duván Zapata,co COL,FW,Atalanta,32-161,1991,2.0,2.0,112.0,1.0,0.0,0.0,0.0,0.0,0.0,0.8,0.0,0.8,0.8,0.8,0.4,0.4,0.33,0.33,1.2,2.0,0.0,40.0,1.61,0.2,0.5,0.08,0.6,0.6,36.0,50.0,72.0,393.0,32.0,26.0,29.0,89.7,7.0,12.0,58.3,0.0,1.0,0.0,2.0,0.0,1.0,0.0,3.0,47.0,3.0,1.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,1.0,0.0,4.0,4.0,3.21,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,65.0,1.0,3.0,27.0,35.0,10.0,65.0,47.0,3.0,1.0,2.0,50.0,5.0,0.0,0.0,1.0,4.0,1.0,0.0,0.0,0.0,6.0,5.0,5.0,50.0
-Gabriele Zappa,it ITA,"DF,MF",Cagliari,23-261,1999,3.0,3.0,240.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,78.0,109.0,71.6,1258.0,844.0,43.0,50.0,86.0,23.0,32.0,71.9,9.0,20.0,45.0,1.0,11.0,3.0,1.0,13.0,81.0,26.0,3.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,23.0,2.0,0.0,3.0,1.13,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,2.0,0.0,4.0,0.0,4.0,3.0,11.0,0.0,131.0,9.0,49.0,54.0,29.0,1.0,131.0,66.0,3.0,3.0,0.0,66.0,1.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,12.0,2.0,0.0,100.0
-Davide Zappacosta,it ITA,DF,Atalanta,31-090,1992,3.0,3.0,190.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.24,0.24,2.1,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.5,-0.5,85.0,99.0,85.9,1204.0,396.0,50.0,55.0,90.9,27.0,29.0,93.1,5.0,7.0,71.4,1.0,5.0,1.0,0.0,9.0,85.0,14.0,1.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,13.0,0.0,3.0,1.0,0.47,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,122.0,2.0,33.0,41.0,52.0,11.0,122.0,75.0,9.0,5.0,3.0,85.0,5.0,3.0,0.0,2.0,4.0,1.0,0.0,0.0,0.0,13.0,1.0,4.0,20.0
-Oier Zarraga,es ESP,MF,Udinese,24-248,1999,2.0,1.0,54.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.12,0.12,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.1,-0.1,14.0,16.0,87.5,172.0,58.0,12.0,13.0,92.3,2.0,2.0,100.0,0.0,1.0,0.0,1.0,2.0,0.0,0.0,2.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.67,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,23.0,2.0,8.0,7.0,8.0,2.0,23.0,15.0,2.0,3.0,1.0,17.0,3.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,50.0
-Jordan Zemura,zw ZIM,DF,Udinese,23-299,1999,3.0,0.0,84.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,28.0,71.4,227.0,87.0,13.0,14.0,92.9,6.0,6.0,100.0,0.0,4.0,0.0,1.0,2.0,0.0,0.0,3.0,22.0,6.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,5.0,0.0,1.0,1.0,1.07,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,37.0,1.0,10.0,15.0,12.0,1.0,37.0,18.0,2.0,1.0,2.0,21.0,2.0,1.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,4.0,2.0,4.0,33.3
-Piotr Zieliński,pl POL,MF,Napoli,29-112,1994,3.0,3.0,255.0,1.0,0.0,0.0,0.0,0.0,0.0,0.35,0.0,0.35,0.35,0.35,0.4,0.4,0.13,0.13,2.8,3.0,1.0,37.5,1.06,0.13,0.33,0.04,0.6,0.6,123.0,151.0,81.5,2095.0,946.0,69.0,73.0,94.5,36.0,44.0,81.8,16.0,28.0,57.1,11.0,16.0,10.0,0.0,24.0,127.0,21.0,3.0,0.0,2.0,18.0,17.0,4.0,10.0,0.0,0.0,3.0,1.0,20.0,7.06,10.0,8.0,2.0,0.0,2.0,0.71,1.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,2.0,3.0,1.0,2.0,1.0,0.0,0.0,175.0,1.0,14.0,83.0,80.0,8.0,175.0,105.0,8.0,9.0,3.0,128.0,5.0,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0
-David Zima,cz CZE,DF,Torino,22-305,2000,1.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,6.0,83.3,72.0,12.0,1.0,1.0,100.0,3.0,4.0,75.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.63,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,0.0,9.0,2.0,5.0,4.0,0.0,0.0,9.0,4.0,0.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,3.0,0.0
-Joshua Zirkzee,nl NED,FW,Bologna,22-110,2001,3.0,3.0,266.0,1.0,1.0,0.0,0.0,1.0,0.0,0.34,0.34,0.68,0.34,0.68,0.4,0.4,0.13,0.13,3.0,3.0,0.0,50.0,1.02,0.17,0.33,0.06,0.6,0.6,55.0,76.0,72.4,685.0,124.0,37.0,52.0,71.2,11.0,14.0,78.6,2.0,2.0,100.0,6.0,1.0,2.0,0.0,4.0,68.0,8.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,13.0,4.4,9.0,0.0,2.0,0.0,1.0,0.34,1.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,5.0,0.0,115.0,5.0,10.0,53.0,53.0,12.0,115.0,57.0,2.0,3.0,1.0,80.0,11.0,5.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,10.0,6.0,2.0,75.0
-Zito,ao ANG,FW,Cagliari,21-184,2002,3.0,2.0,207.0,1.0,0.0,0.0,0.0,1.0,0.0,0.43,0.0,0.43,0.43,0.43,0.4,0.4,0.19,0.19,2.3,1.0,0.0,12.5,0.43,0.13,1.0,0.05,0.6,0.6,17.0,26.0,65.4,267.0,47.0,8.0,9.0,88.9,6.0,12.0,50.0,1.0,2.0,50.0,2.0,1.0,0.0,0.0,3.0,24.0,2.0,0.0,0.0,1.0,5.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,10.0,4.35,2.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,66.0,0.0,4.0,13.0,49.0,15.0,66.0,53.0,12.0,5.0,8.0,52.0,10.0,7.0,0.0,2.0,6.0,2.0,0.0,0.0,0.0,4.0,1.0,4.0,20.0
-Nadir Zortea,it ITA,DF,Atalanta,24-082,1999,2.0,0.0,64.0,1.0,0.0,0.0,0.0,0.0,0.0,1.41,0.0,1.41,1.41,1.41,0.1,0.1,0.12,0.12,0.7,1.0,0.0,50.0,1.41,0.5,1.0,0.04,0.9,0.9,34.0,41.0,82.9,554.0,194.0,20.0,21.0,95.2,9.0,11.0,81.8,5.0,6.0,83.3,1.0,2.0,2.0,2.0,3.0,35.0,6.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,6.0,0.0,2.0,6.0,8.44,4.0,0.0,1.0,0.0,1.0,1.41,1.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,49.0,0.0,8.0,25.0,18.0,3.0,49.0,33.0,4.0,3.0,1.0,34.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,0.0
-Milan Đurić,ba BIH,"FW,MF",Hellas Verona,33-110,1990,3.0,1.0,123.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,18.0,37.0,48.6,263.0,42.0,12.0,25.0,48.0,3.0,7.0,42.9,2.0,2.0,100.0,2.0,1.0,1.0,0.0,1.0,37.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.46,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,47.0,4.0,9.0,20.0,18.0,3.0,47.0,22.0,0.0,0.0,0.0,36.0,3.0,1.0,0.0,6.0,1.0,1.0,0.0,0.0,0.0,4.0,16.0,10.0,61.5
-Mateusz Łęgowski,pl POL,"MF,DF",Salernitana,20-223,2003,3.0,1.0,95.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,39.0,46.0,84.8,520.0,134.0,25.0,26.0,96.2,9.0,12.0,75.0,3.0,6.0,50.0,0.0,0.0,0.0,0.0,1.0,46.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.89,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,51.0,0.0,9.0,29.0,14.0,1.0,51.0,32.0,2.0,3.0,1.0,34.0,2.0,1.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,10.0,2.0,3.0,40.0
+Francesco Acerbi,it ITA,DF,Inter,35-223,1988,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.2,0.2,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,-0.2,-0.2,35.0,41.0,85.4,660.0,231.0,13.0,13.0,100.0,16.0,18.0,88.9,4.0,8.0,50.0,0.0,3.0,0.0,0.0,1.0,36.0,5.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,6.0,0.0,51.0,13.0,32.0,18.0,1.0,1.0,51.0,30.0,0.0,0.0,0.0,30.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,4.0,3.0,0.0,100.0
+Michel Aebischer,ch SUI,MF,Bologna,26-258,1997,4.0,4.0,347.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,3.9,1.0,0.0,50.0,0.26,0.0,0.0,0.05,-0.1,-0.1,231.0,239.0,96.7,3783.0,1073.0,121.0,125.0,96.8,89.0,91.0,97.8,17.0,19.0,89.5,2.0,20.0,1.0,1.0,23.0,226.0,13.0,10.0,0.0,1.0,2.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,7.0,1.82,6.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,6.0,2.0,4.0,2.0,1.0,0.0,259.0,7.0,68.0,159.0,34.0,2.0,259.0,158.0,7.0,4.0,1.0,205.0,2.0,0.0,0.0,7.0,5.0,0.0,0.0,0.0,0.0,23.0,2.0,3.0,40.0
+Luis Alberto,es ESP,MF,Lazio,30-358,1992,4.0,4.0,360.0,2.0,1.0,0.0,0.0,1.0,0.0,0.5,0.25,0.75,0.5,0.75,0.5,0.5,0.13,0.13,4.0,4.0,1.0,57.1,1.0,0.29,0.5,0.08,1.5,1.5,254.0,318.0,79.9,4147.0,1308.0,134.0,145.0,92.4,87.0,102.0,85.3,25.0,53.0,47.2,10.0,41.0,10.0,0.0,52.0,275.0,40.0,15.0,2.0,3.0,29.0,22.0,9.0,13.0,0.0,1.0,3.0,4.0,19.0,4.75,16.0,3.0,0.0,0.0,1.0,0.25,1.0,0.0,0.0,0.0,0.0,5.0,1.0,4.0,1.0,0.0,4.0,2.0,2.0,1.0,1.0,0.0,353.0,5.0,38.0,185.0,136.0,8.0,353.0,224.0,24.0,15.0,1.0,270.0,5.0,7.0,0.0,3.0,5.0,0.0,0.0,0.0,0.0,24.0,2.0,4.0,33.3
+Pontus Almqvist,se SWE,FW,Lecce,24-073,1999,4.0,4.0,347.0,1.0,0.0,0.0,0.0,0.0,0.0,0.26,0.0,0.26,0.26,0.26,0.2,0.2,0.06,0.06,3.9,3.0,0.0,60.0,0.78,0.2,0.33,0.04,0.8,0.8,76.0,96.0,79.2,1089.0,213.0,50.0,60.0,83.3,17.0,25.0,68.0,6.0,6.0,100.0,3.0,4.0,2.0,0.0,6.0,95.0,1.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,13.0,3.37,9.0,0.0,1.0,1.0,5.0,1.3,3.0,0.0,0.0,1.0,1.0,7.0,6.0,2.0,4.0,1.0,6.0,0.0,6.0,3.0,2.0,0.0,148.0,2.0,17.0,69.0,65.0,14.0,148.0,103.0,19.0,6.0,6.0,111.0,8.0,7.0,0.0,3.0,8.0,1.0,1.0,0.0,0.0,15.0,0.0,3.0,0.0
+Lorenzo Amatucci,it ITA,MF,Fiorentina,19-228,2004,1.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,17.0,88.2,304.0,47.0,4.0,4.0,100.0,10.0,10.0,100.0,1.0,1.0,100.0,0.0,1.0,0.0,0.0,1.0,17.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,0.0,1.0,12.0,4.0,0.0,17.0,12.0,1.0,0.0,0.0,13.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0
+Bruno Amione,ar ARG,MF,Hellas Verona,21-261,2002,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,100.0,35.0,9.0,1.0,1.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,5.0,0.0,3.0,2.0,0.0,0.0,5.0,2.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Felipe Anderson,br BRA,FW,Lazio,30-159,1993,4.0,4.0,269.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.67,0.67,0.0,0.67,0.6,0.6,0.2,0.2,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.12,-0.6,-0.6,123.0,156.0,78.8,1880.0,448.0,66.0,75.0,88.0,44.0,55.0,80.0,8.0,15.0,53.3,4.0,9.0,7.0,1.0,16.0,156.0,0.0,0.0,1.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,11.0,3.67,8.0,0.0,0.0,0.0,3.0,1.0,2.0,0.0,0.0,0.0,1.0,6.0,3.0,3.0,2.0,1.0,5.0,0.0,5.0,3.0,2.0,0.0,194.0,1.0,23.0,79.0,93.0,9.0,194.0,120.0,15.0,7.0,3.0,158.0,5.0,0.0,0.0,3.0,4.0,0.0,0.0,0.0,0.0,9.0,0.0,5.0,0.0
+Houssem Aouar,dz ALG,MF,Roma,25-083,1998,3.0,2.0,164.0,1.0,0.0,0.0,0.0,1.0,0.0,0.55,0.0,0.55,0.55,0.55,0.5,0.5,0.29,0.29,1.8,1.0,0.0,50.0,0.55,0.5,1.0,0.26,0.5,0.5,57.0,74.0,77.0,932.0,248.0,30.0,34.0,88.2,22.0,27.0,81.5,5.0,7.0,71.4,3.0,6.0,0.0,0.0,3.0,65.0,9.0,2.0,0.0,0.0,5.0,5.0,4.0,1.0,0.0,2.0,0.0,3.0,4.0,2.2,1.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,1.0,3.0,0.0,2.0,0.0,2.0,2.0,0.0,0.0,88.0,0.0,9.0,50.0,30.0,4.0,88.0,48.0,2.0,2.0,1.0,53.0,3.0,2.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,15.0,4.0,3.0,57.1
+Marko Arnautović,at AUT,FW,Inter,34-155,1989,4.0,0.0,86.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.05,1.05,0.0,1.05,0.1,0.1,0.07,0.07,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,27.0,33.0,81.8,314.0,30.0,16.0,20.0,80.0,8.0,8.0,100.0,0.0,1.0,0.0,2.0,2.0,0.0,0.0,2.0,33.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,3.14,3.0,0.0,0.0,0.0,1.0,1.05,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,44.0,1.0,3.0,23.0,19.0,5.0,44.0,27.0,3.0,1.0,2.0,29.0,3.0,2.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,5.0,0.0,1.0,0.0
+Kristjan Asllani,al ALB,MF,Inter,21-196,2002,2.0,0.0,23.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.23,0.23,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,9.0,13.0,69.2,157.0,8.0,5.0,5.0,100.0,3.0,4.0,75.0,1.0,3.0,33.3,0.0,0.0,0.0,0.0,0.0,10.0,3.0,2.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,16.0,0.0,6.0,7.0,3.0,1.0,16.0,10.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Tommaso Augello,it ITA,DF,Cagliari,29-022,1994,3.0,3.0,225.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,2.5,1.0,0.0,100.0,0.4,0.0,0.0,0.02,0.0,0.0,75.0,116.0,64.7,1294.0,582.0,40.0,42.0,95.2,26.0,40.0,65.0,8.0,27.0,29.6,4.0,8.0,2.0,2.0,7.0,90.0,26.0,5.0,0.0,0.0,15.0,5.0,1.0,4.0,0.0,16.0,0.0,3.0,8.0,3.2,5.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,5.0,0.0,129.0,7.0,41.0,56.0,32.0,1.0,129.0,61.0,10.0,1.0,0.0,71.0,2.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,11.0,4.0,1.0,80.0
+Yann Aurel Bisseck,de GER,DF,Inter,22-296,2000,1.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,100.0,42.0,6.0,1.0,1.0,100.0,0.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,2.0,1.0,1.0,3.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Sardar Azmoun,ir IRN,FW,Roma,28-263,1995,1.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Paulo Azzi,br BRA,"MF,DF",Cagliari,29-068,1994,4.0,1.0,166.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.16,0.16,1.8,1.0,0.0,25.0,0.54,0.0,0.0,0.07,-0.3,-0.3,50.0,81.0,61.7,862.0,311.0,26.0,32.0,81.3,21.0,30.0,70.0,3.0,15.0,20.0,2.0,6.0,1.0,0.0,7.0,66.0,14.0,2.0,0.0,1.0,7.0,0.0,0.0,0.0,0.0,12.0,1.0,1.0,2.0,1.08,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,2.0,0.0,1.0,1.0,0.0,1.0,3.0,0.0,102.0,5.0,30.0,38.0,36.0,2.0,102.0,55.0,6.0,8.0,1.0,56.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,1.0,2.0,33.3
+Oussama El Azzouzi,ma MAR,MF,Bologna,22-115,2001,3.0,0.0,32.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,32.0,36.0,88.9,461.0,62.0,19.0,19.0,100.0,12.0,14.0,85.7,1.0,3.0,33.3,1.0,3.0,0.0,0.0,0.0,35.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,5.63,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,40.0,2.0,9.0,24.0,7.0,1.0,40.0,18.0,0.0,0.0,0.0,26.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0
+Milan Badelj,hr CRO,MF,Genoa,34-208,1989,4.0,4.0,324.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,107.0,134.0,79.9,1839.0,591.0,39.0,42.0,92.9,57.0,68.0,83.8,7.0,19.0,36.8,0.0,11.0,0.0,0.0,9.0,125.0,9.0,5.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,0.83,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,3.0,4.0,3.0,0.0,4.0,0.0,4.0,9.0,10.0,0.0,170.0,17.0,61.0,96.0,15.0,0.0,170.0,74.0,1.0,3.0,0.0,102.0,2.0,3.0,0.0,4.0,3.0,0.0,0.0,0.0,0.0,22.0,1.0,3.0,25.0
+Jaime Báez,uy URU,"FW,MF",Frosinone,28-149,1995,4.0,3.0,205.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.06,0.06,2.3,1.0,1.0,20.0,0.44,0.0,0.0,0.03,-0.1,-0.1,56.0,78.0,71.8,874.0,385.0,28.0,34.0,82.4,19.0,23.0,82.6,6.0,15.0,40.0,3.0,6.0,5.0,0.0,13.0,73.0,5.0,2.0,0.0,0.0,9.0,3.0,0.0,3.0,0.0,0.0,0.0,1.0,8.0,3.51,4.0,2.0,0.0,2.0,2.0,0.88,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,4.0,3.0,1.0,0.0,100.0,4.0,15.0,43.0,44.0,7.0,100.0,50.0,4.0,2.0,2.0,63.0,1.0,5.0,0.0,3.0,8.0,2.0,1.0,0.0,0.0,17.0,3.0,3.0,50.0
+Nedim Bajrami,al ALB,"FW,MF",Sassuolo,24-205,1999,4.0,3.0,214.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.11,0.11,2.4,2.0,0.0,40.0,0.84,0.0,0.0,0.05,-0.3,-0.3,58.0,80.0,72.5,782.0,187.0,38.0,44.0,86.4,17.0,25.0,68.0,2.0,8.0,25.0,2.0,3.0,1.0,0.0,6.0,70.0,10.0,1.0,2.0,0.0,13.0,8.0,2.0,6.0,0.0,1.0,0.0,2.0,8.0,3.36,6.0,1.0,0.0,0.0,2.0,0.84,2.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,0.0,3.0,1.0,0.0,100.0,3.0,12.0,42.0,50.0,6.0,100.0,62.0,10.0,3.0,3.0,72.0,4.0,2.0,0.0,4.0,2.0,1.0,0.0,0.0,0.0,7.0,0.0,3.0,0.0
+Mitchel Bakker,nl NED,DF,Atalanta,23-093,2000,2.0,0.0,26.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,29.0,72.4,261.0,67.0,14.0,17.0,82.4,6.0,6.0,100.0,0.0,3.0,0.0,1.0,1.0,0.0,0.0,1.0,25.0,4.0,0.0,0.0,0.0,3.0,1.0,0.0,1.0,0.0,3.0,0.0,1.0,1.0,3.46,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,32.0,1.0,6.0,16.0,11.0,2.0,32.0,23.0,3.0,2.0,1.0,23.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,4.0,1.0,0.0,100.0
+Tommaso Baldanzi,it ITA,"FW,MF",Empoli,20-182,2003,4.0,3.0,271.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,3.0,1.0,0.0,25.0,0.33,0.0,0.0,0.02,-0.1,-0.1,77.0,91.0,84.6,1206.0,216.0,38.0,41.0,92.7,30.0,34.0,88.2,4.0,7.0,57.1,5.0,3.0,3.0,1.0,10.0,77.0,13.0,3.0,0.0,0.0,3.0,2.0,0.0,0.0,0.0,4.0,1.0,1.0,12.0,3.99,8.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,3.0,0.0,3.0,1.0,0.0,0.0,118.0,0.0,10.0,55.0,58.0,9.0,118.0,77.0,9.0,9.0,5.0,91.0,6.0,3.0,0.0,1.0,9.0,1.0,0.0,0.0,0.0,9.0,0.0,1.0,0.0
+Lameck Banda,zm ZAM,FW,Lecce,22-235,2001,4.0,4.0,308.0,0.0,2.0,0.0,0.0,1.0,0.0,0.0,0.58,0.58,0.0,0.58,0.3,0.3,0.08,0.08,3.4,5.0,0.0,62.5,1.46,0.0,0.0,0.04,-0.3,-0.3,61.0,79.0,77.2,930.0,167.0,35.0,41.0,85.4,19.0,25.0,76.0,3.0,8.0,37.5,9.0,2.0,4.0,3.0,6.0,76.0,3.0,1.0,1.0,0.0,9.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,12.0,3.51,8.0,0.0,2.0,0.0,1.0,0.29,1.0,0.0,0.0,0.0,0.0,7.0,7.0,3.0,3.0,1.0,4.0,0.0,4.0,1.0,3.0,0.0,133.0,1.0,16.0,49.0,71.0,16.0,133.0,98.0,16.0,4.0,10.0,93.0,12.0,7.0,0.0,9.0,10.0,1.0,0.0,0.0,0.0,19.0,0.0,1.0,0.0
+Mattia Bani,it ITA,DF,Genoa,29-285,1993,4.0,4.0,360.0,1.0,0.0,0.0,0.0,2.0,0.0,0.25,0.0,0.25,0.25,0.25,0.6,0.6,0.15,0.15,4.0,1.0,0.0,100.0,0.25,1.0,1.0,0.59,0.4,0.4,102.0,133.0,76.7,2119.0,979.0,30.0,35.0,85.7,57.0,65.0,87.7,14.0,28.0,50.0,0.0,7.0,0.0,0.0,6.0,129.0,3.0,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,3.0,2.0,0.0,11.0,7.0,4.0,4.0,23.0,0.0,184.0,39.0,137.0,46.0,2.0,1.0,184.0,79.0,1.0,0.0,0.0,93.0,1.0,0.0,0.0,2.0,2.0,1.0,0.0,0.0,0.0,17.0,8.0,5.0,61.5
+Antonín Barák,cz CZE,MF,Fiorentina,28-292,1994,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,100.0,39.0,0.0,2.0,2.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,5.0,0.0,0.0,2.0,3.0,0.0,5.0,4.0,0.0,1.0,0.0,6.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Nicolò Barella,it ITA,MF,Inter,26-226,1997,4.0,4.0,281.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,3.1,1.0,0.0,25.0,0.32,0.0,0.0,0.03,-0.1,-0.1,162.0,188.0,86.2,2848.0,1017.0,83.0,91.0,91.2,55.0,64.0,85.9,18.0,26.0,69.2,5.0,28.0,11.0,2.0,37.0,183.0,5.0,3.0,2.0,7.0,3.0,1.0,0.0,0.0,0.0,1.0,0.0,2.0,12.0,3.84,12.0,0.0,0.0,0.0,1.0,0.32,1.0,0.0,0.0,0.0,0.0,10.0,5.0,4.0,6.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,212.0,3.0,28.0,129.0,57.0,1.0,212.0,139.0,7.0,6.0,0.0,168.0,1.0,0.0,0.0,3.0,3.0,1.0,0.0,0.0,0.0,11.0,2.0,0.0,100.0
+Enzo Barrenechea,ar ARG,MF,Frosinone,22-122,2001,4.0,3.0,225.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,2.5,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,117.0,135.0,86.7,1975.0,408.0,51.0,54.0,94.4,44.0,51.0,86.3,14.0,20.0,70.0,0.0,8.0,1.0,0.0,10.0,129.0,6.0,4.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.2,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,6.0,1.0,4.0,1.0,4.0,1.0,3.0,4.0,3.0,0.0,159.0,7.0,43.0,97.0,19.0,1.0,159.0,85.0,1.0,2.0,0.0,110.0,1.0,1.0,0.0,6.0,1.0,0.0,0.0,0.0,0.0,16.0,0.0,2.0,0.0
+Federico Baschirotto,it ITA,DF,Lecce,27-001,1996,4.0,4.0,324.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.08,0.08,3.6,0.0,0.0,0.0,0.0,0.0,0.0,0.14,-0.3,-0.3,149.0,168.0,88.7,2704.0,815.0,46.0,50.0,92.0,90.0,98.0,91.8,11.0,17.0,64.7,0.0,5.0,0.0,0.0,9.0,157.0,11.0,6.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,3.0,0.83,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,4.0,3.0,1.0,2.0,12.0,0.0,190.0,26.0,97.0,86.0,7.0,3.0,190.0,127.0,7.0,2.0,0.0,129.0,2.0,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,15.0,6.0,3.0,66.7
+Alessandro Bastoni,it ITA,DF,Inter,24-161,1999,4.0,4.0,343.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,3.8,1.0,0.0,33.3,0.26,0.0,0.0,0.03,-0.1,-0.1,214.0,247.0,86.6,4217.0,1636.0,86.0,92.0,93.5,85.0,89.0,95.5,36.0,52.0,69.2,5.0,15.0,5.0,2.0,17.0,229.0,17.0,13.0,0.0,7.0,6.0,0.0,0.0,0.0,0.0,3.0,1.0,5.0,12.0,3.15,8.0,1.0,1.0,1.0,1.0,0.26,1.0,0.0,0.0,0.0,0.0,13.0,11.0,11.0,0.0,2.0,4.0,3.0,1.0,4.0,4.0,0.0,282.0,27.0,104.0,127.0,53.0,5.0,282.0,201.0,6.0,7.0,0.0,210.0,1.0,2.0,0.0,5.0,7.0,0.0,0.0,0.0,0.0,17.0,4.0,1.0,80.0
+Simone Bastoni,it ITA,MF,Empoli,26-320,1996,1.0,0.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,22.0,28.0,78.6,335.0,100.0,9.0,10.0,90.0,10.0,11.0,90.9,1.0,4.0,25.0,0.0,2.0,0.0,0.0,2.0,25.0,3.0,1.0,0.0,0.0,3.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,2.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,34.0,0.0,3.0,12.0,19.0,1.0,34.0,21.0,0.0,1.0,0.0,25.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Raoul Bellanova,it ITA,DF,Torino,23-127,2000,4.0,4.0,296.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.3,0.3,0.0,0.3,0.0,0.0,0.0,0.0,3.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,100.0,140.0,71.4,1892.0,499.0,46.0,54.0,85.2,39.0,54.0,72.2,15.0,25.0,60.0,3.0,3.0,4.0,3.0,7.0,112.0,27.0,0.0,0.0,0.0,17.0,0.0,0.0,0.0,0.0,27.0,1.0,4.0,8.0,2.43,8.0,0.0,0.0,0.0,3.0,0.91,3.0,0.0,0.0,0.0,0.0,3.0,2.0,3.0,0.0,0.0,2.0,0.0,2.0,3.0,1.0,0.0,166.0,7.0,36.0,67.0,64.0,3.0,166.0,98.0,12.0,5.0,1.0,102.0,6.0,1.0,0.0,4.0,4.0,0.0,0.0,0.0,0.0,11.0,1.0,5.0,16.7
+Andrea Belotti,it ITA,FW,Roma,29-275,1993,4.0,3.0,297.0,2.0,2.0,0.0,0.0,0.0,0.0,0.61,0.61,1.21,0.61,1.21,1.3,1.3,0.39,0.39,3.3,3.0,0.0,42.9,0.91,0.29,0.67,0.18,0.7,0.7,52.0,65.0,80.0,714.0,79.0,32.0,35.0,91.4,13.0,17.0,76.5,4.0,5.0,80.0,4.0,1.0,1.0,0.0,4.0,57.0,8.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,10.0,3.03,4.0,0.0,2.0,2.0,4.0,1.21,2.0,0.0,1.0,0.0,0.0,5.0,3.0,1.0,3.0,1.0,2.0,0.0,2.0,0.0,1.0,0.0,103.0,1.0,3.0,61.0,41.0,20.0,103.0,67.0,6.0,5.0,3.0,84.0,15.0,5.0,0.0,4.0,8.0,3.0,0.0,0.0,0.0,5.0,7.0,7.0,50.0
+Lucas Beltrán,ar ARG,FW,Fiorentina,22-176,2001,4.0,2.0,135.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,25.0,35.0,71.4,288.0,48.0,18.0,22.0,81.8,4.0,5.0,80.0,1.0,1.0,100.0,1.0,1.0,1.0,0.0,2.0,34.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,6.0,4.0,3.0,0.0,0.0,1.0,3.0,2.0,2.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,2.0,0.0,3.0,0.0,3.0,0.0,1.0,0.0,55.0,1.0,1.0,28.0,26.0,3.0,55.0,36.0,1.0,1.0,0.0,41.0,5.0,4.0,0.0,2.0,2.0,1.0,0.0,0.0,0.0,1.0,1.0,7.0,12.5
+Domenico Berardi,it ITA,"MF,FW",Sassuolo,29-051,1994,2.0,2.0,167.0,2.0,0.0,1.0,1.0,0.0,0.0,1.08,0.0,1.08,0.54,0.54,1.0,0.2,0.54,0.11,1.9,4.0,0.0,66.7,2.16,0.17,0.25,0.03,1.0,0.8,51.0,74.0,68.9,905.0,281.0,25.0,28.0,89.3,19.0,22.0,86.4,6.0,18.0,33.3,4.0,7.0,4.0,0.0,13.0,66.0,7.0,2.0,4.0,3.0,8.0,5.0,4.0,0.0,0.0,0.0,1.0,0.0,13.0,7.01,12.0,0.0,0.0,1.0,1.0,0.54,0.0,0.0,0.0,1.0,0.0,3.0,1.0,2.0,1.0,0.0,3.0,0.0,3.0,0.0,0.0,0.0,96.0,0.0,6.0,42.0,48.0,11.0,95.0,51.0,7.0,3.0,4.0,74.0,5.0,3.0,0.0,0.0,3.0,1.0,1.0,0.0,0.0,9.0,2.0,4.0,33.3
+Bartosz Bereszyński,pl POL,DF,Empoli,31-071,1992,2.0,2.0,180.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,2.0,1.0,0.0,100.0,0.5,0.0,0.0,0.02,0.0,0.0,102.0,117.0,87.2,1352.0,478.0,67.0,71.0,94.4,30.0,35.0,85.7,2.0,2.0,100.0,3.0,12.0,1.0,0.0,15.0,101.0,14.0,2.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,12.0,2.0,4.0,3.0,1.5,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,5.0,0.0,133.0,10.0,37.0,66.0,31.0,1.0,133.0,87.0,7.0,3.0,1.0,89.0,2.0,0.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,14.0,1.0,1.0,50.0
+Etrit Berisha,al ALB,GK,Empoli,34-195,1989,2.0,2.0,180.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,51.0,63.0,81.0,1119.0,631.0,11.0,11.0,100.0,32.0,32.0,100.0,8.0,20.0,40.0,0.0,1.0,0.0,0.0,0.0,47.0,16.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,67.0,63.0,67.0,0.0,0.0,0.0,67.0,42.0,0.0,0.0,0.0,31.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Victor Bernth Kristiansen,dk DEN,DF,Bologna,20-279,2002,2.0,2.0,169.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.53,0.53,0.0,0.53,0.1,0.1,0.05,0.05,1.9,1.0,0.0,50.0,0.53,0.0,0.0,0.05,-0.1,-0.1,87.0,109.0,79.8,1328.0,472.0,49.0,53.0,92.5,34.0,45.0,75.6,3.0,7.0,42.9,4.0,6.0,5.0,2.0,7.0,86.0,23.0,2.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,21.0,0.0,0.0,6.0,3.2,4.0,0.0,2.0,0.0,2.0,1.07,1.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,5.0,0.0,5.0,1.0,2.0,0.0,126.0,1.0,32.0,60.0,34.0,5.0,126.0,70.0,2.0,0.0,0.0,75.0,1.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,5.0,3.0,0.0,100.0
+Beto,gw GNB,FW,Udinese,25-233,1998,1.0,1.0,74.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,11.0,90.9,128.0,26.0,7.0,8.0,87.5,3.0,3.0,100.0,0.0,0.0,0.0,6.0,1.0,0.0,0.0,2.0,9.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,7.3,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,0.0,0.0,7.0,10.0,1.0,17.0,15.0,0.0,0.0,0.0,14.0,3.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0
+Sam Beukema,nl NED,DF,Bologna,24-308,1998,4.0,4.0,360.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,287.0,303.0,94.7,5248.0,1793.0,119.0,121.0,98.3,138.0,144.0,95.8,26.0,32.0,81.3,1.0,17.0,0.0,0.0,14.0,294.0,8.0,6.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,3.0,0.75,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,4.0,6.0,2.0,0.0,4.0,1.0,3.0,2.0,13.0,0.0,332.0,35.0,145.0,188.0,1.0,0.0,332.0,231.0,4.0,2.0,1.0,249.0,0.0,1.0,0.0,5.0,3.0,0.0,0.0,0.0,0.0,29.0,4.0,3.0,57.1
+Jaka Bijol,si SVN,DF,Udinese,24-228,1999,4.0,4.0,360.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.14,-0.1,-0.1,173.0,203.0,85.2,3686.0,1678.0,49.0,55.0,89.1,90.0,103.0,87.4,32.0,42.0,76.2,0.0,15.0,2.0,0.0,18.0,198.0,5.0,4.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.25,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,7.0,8.0,3.0,0.0,5.0,4.0,1.0,4.0,21.0,0.0,248.0,40.0,123.0,123.0,2.0,1.0,248.0,142.0,2.0,0.0,0.0,147.0,0.0,0.0,0.0,6.0,1.0,0.0,0.0,0.0,0.0,16.0,13.0,6.0,68.4
+Cristiano Biraghi,it ITA,DF,Fiorentina,31-020,1992,3.0,2.0,197.0,1.0,1.0,0.0,0.0,1.0,0.0,0.46,0.46,0.91,0.46,0.91,0.0,0.0,0.01,0.01,2.2,1.0,0.0,100.0,0.46,1.0,1.0,0.03,1.0,1.0,170.0,213.0,79.8,3181.0,942.0,70.0,72.0,97.2,71.0,87.0,81.6,24.0,39.0,61.5,1.0,7.0,0.0,0.0,6.0,169.0,44.0,9.0,0.0,6.0,14.0,6.0,1.0,3.0,0.0,29.0,0.0,7.0,3.0,1.37,0.0,1.0,0.0,0.0,3.0,1.37,0.0,1.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,4.0,2.0,2.0,3.0,4.0,0.0,230.0,5.0,73.0,98.0,61.0,4.0,230.0,142.0,12.0,6.0,1.0,149.0,0.0,0.0,0.0,4.0,3.0,0.0,0.0,0.0,0.0,11.0,1.0,2.0,33.3
+Davide Biraschi,it ITA,DF,Genoa,29-081,1994,1.0,1.0,90.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,0.1,0.1,0.1,0.1,1.0,1.0,0.0,100.0,1.0,1.0,1.0,0.1,0.9,0.9,31.0,37.0,83.8,684.0,308.0,6.0,7.0,85.7,18.0,21.0,85.7,7.0,9.0,77.8,0.0,2.0,1.0,0.0,5.0,28.0,9.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,1.0,2.0,0.0,0.0,0.0,0.0,2.0,5.0,0.0,48.0,5.0,20.0,21.0,7.0,1.0,48.0,19.0,0.0,2.0,0.0,21.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,4.0,1.0,0.0,100.0
+Samuele Birindelli,it ITA,DF,Monza,24-064,1999,4.0,3.0,267.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.34,0.34,0.0,0.34,0.2,0.2,0.05,0.05,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.2,-0.2,121.0,138.0,87.7,2142.0,462.0,57.0,60.0,95.0,53.0,58.0,91.4,11.0,15.0,73.3,4.0,6.0,7.0,3.0,9.0,114.0,24.0,1.0,0.0,1.0,8.0,0.0,0.0,0.0,0.0,23.0,0.0,5.0,5.0,1.69,4.0,0.0,0.0,1.0,1.0,0.34,1.0,0.0,0.0,0.0,0.0,6.0,4.0,3.0,3.0,0.0,6.0,3.0,3.0,4.0,5.0,0.0,174.0,10.0,54.0,65.0,55.0,10.0,174.0,84.0,4.0,2.0,1.0,114.0,8.0,1.0,0.0,3.0,4.0,0.0,0.0,0.0,0.0,5.0,3.0,2.0,60.0
+Alexis Blin,fr FRA,"DF,MF",Lecce,27-005,1996,4.0,0.0,96.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.15,0.15,1.1,0.0,0.0,0.0,0.0,0.0,0.0,0.16,-0.2,-0.2,41.0,50.0,82.0,786.0,257.0,12.0,15.0,80.0,25.0,28.0,89.3,3.0,4.0,75.0,0.0,5.0,1.0,0.0,5.0,45.0,5.0,5.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.94,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,2.0,4.0,0.0,64.0,6.0,21.0,37.0,6.0,2.0,64.0,35.0,0.0,0.0,0.0,35.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,6.0,4.0,2.0,66.7
+Emil Bohinen,no NOR,MF,Salernitana,24-193,1999,3.0,2.0,111.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.04,1.2,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,67.0,92.0,72.8,1075.0,330.0,31.0,37.0,83.8,24.0,35.0,68.6,7.0,9.0,77.8,1.0,2.0,0.0,0.0,6.0,90.0,2.0,2.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,1.62,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,2.0,2.0,0.0,3.0,1.0,1.0,113.0,2.0,30.0,65.0,18.0,1.0,113.0,53.0,1.0,0.0,0.0,66.0,4.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,11.0,6.0,5.0,54.5
+Daniel Boloca,ro ROU,MF,Sassuolo,24-273,1998,3.0,3.0,216.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.12,0.12,2.4,2.0,0.0,50.0,0.83,0.0,0.0,0.07,-0.3,-0.3,86.0,93.0,92.5,1331.0,387.0,38.0,40.0,95.0,41.0,43.0,95.3,2.0,3.0,66.7,0.0,6.0,0.0,0.0,9.0,91.0,2.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,1.26,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,1.0,3.0,0.0,0.0,0.0,0.0,1.0,3.0,0.0,111.0,8.0,36.0,54.0,21.0,4.0,111.0,51.0,1.0,2.0,0.0,76.0,2.0,1.0,0.0,6.0,1.0,0.0,0.0,1.0,0.0,13.0,1.0,1.0,50.0
+Giacomo Bonaventura,it ITA,MF,Fiorentina,34-030,1989,4.0,4.0,313.0,2.0,1.0,0.0,0.0,1.0,0.0,0.58,0.29,0.86,0.58,0.86,0.8,0.8,0.22,0.22,3.5,2.0,0.0,40.0,0.58,0.4,1.0,0.15,1.2,1.2,144.0,162.0,88.9,2256.0,410.0,66.0,75.0,88.0,63.0,66.0,95.5,8.0,10.0,80.0,2.0,9.0,4.0,0.0,17.0,158.0,4.0,1.0,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,5.0,1.44,5.0,0.0,0.0,0.0,2.0,0.58,2.0,0.0,0.0,0.0,0.0,4.0,3.0,1.0,0.0,3.0,5.0,0.0,5.0,4.0,2.0,0.0,203.0,3.0,23.0,112.0,70.0,8.0,203.0,150.0,6.0,5.0,2.0,160.0,9.0,5.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,11.0,2.0,3.0,40.0
+Federico Bonazzoli,it ITA,"FW,MF",Hellas Verona,26-123,1997,4.0,1.0,148.0,1.0,0.0,0.0,0.0,0.0,0.0,0.61,0.0,0.61,0.61,0.61,0.3,0.3,0.19,0.19,1.6,3.0,0.0,50.0,1.82,0.17,0.33,0.05,0.7,0.7,35.0,48.0,72.9,495.0,61.0,25.0,30.0,83.3,8.0,11.0,72.7,2.0,2.0,100.0,1.0,5.0,1.0,0.0,3.0,46.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,4.0,2.43,2.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,68.0,1.0,4.0,35.0,29.0,9.0,68.0,48.0,3.0,2.0,2.0,57.0,7.0,1.0,0.0,1.0,6.0,4.0,0.0,0.0,0.0,5.0,2.0,3.0,40.0
+Warren Bondo,fr FRA,MF,Monza,20-006,2003,1.0,0.0,25.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,15.0,80.0,168.0,43.0,7.0,8.0,87.5,4.0,4.0,100.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,2.0,15.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,0.0,2.0,10.0,4.0,0.0,16.0,10.0,2.0,1.0,0.0,14.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0
+Gennaro Borrelli,it ITA,FW,Frosinone,23-195,2000,1.0,0.0,24.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
+Erik Botheim,no NOR,"FW,MF",Salernitana,23-254,2000,4.0,4.0,254.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,36.0,49.0,73.5,486.0,31.0,24.0,31.0,77.4,10.0,11.0,90.9,0.0,1.0,0.0,0.0,1.0,0.0,0.0,2.0,45.0,4.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.35,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,2.0,0.0,62.0,2.0,8.0,39.0,16.0,5.0,62.0,35.0,2.0,1.0,1.0,44.0,2.0,0.0,0.0,2.0,10.0,0.0,0.0,0.0,0.0,6.0,1.0,13.0,7.1
+Edoardo Bove,it ITA,MF,Roma,21-128,2002,3.0,1.0,130.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.69,0.69,0.0,0.69,0.5,0.5,0.31,0.31,1.4,1.0,0.0,33.3,0.69,0.0,0.0,0.15,-0.5,-0.5,52.0,60.0,86.7,860.0,175.0,23.0,26.0,88.5,25.0,26.0,96.2,3.0,3.0,100.0,2.0,7.0,0.0,0.0,6.0,60.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,2.08,2.0,0.0,0.0,1.0,1.0,0.69,1.0,0.0,0.0,0.0,0.0,7.0,5.0,1.0,5.0,1.0,3.0,0.0,3.0,1.0,0.0,0.0,79.0,1.0,12.0,48.0,19.0,4.0,79.0,49.0,1.0,0.0,0.0,53.0,3.0,1.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,8.0,3.0,1.0,75.0
+Domagoj Bradarić,hr CRO,DF,Salernitana,23-285,1999,4.0,3.0,276.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.33,0.33,0.0,0.33,0.0,0.0,0.01,0.01,3.1,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,124.0,160.0,77.5,1886.0,554.0,67.0,80.0,83.8,45.0,53.0,84.9,6.0,14.0,42.9,3.0,2.0,1.0,0.0,7.0,128.0,32.0,1.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,31.0,0.0,4.0,5.0,1.63,4.0,1.0,0.0,0.0,1.0,0.33,1.0,0.0,0.0,0.0,0.0,5.0,3.0,2.0,2.0,1.0,1.0,1.0,0.0,2.0,3.0,0.0,179.0,6.0,47.0,94.0,40.0,1.0,179.0,92.0,4.0,3.0,1.0,101.0,3.0,1.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,15.0,3.0,2.0,60.0
+Josip Brekalo,hr CRO,FW,Fiorentina,25-090,1998,4.0,2.0,242.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.05,0.05,2.7,2.0,0.0,50.0,0.74,0.0,0.0,0.03,-0.1,-0.1,98.0,122.0,80.3,1493.0,358.0,52.0,54.0,96.3,31.0,42.0,73.8,9.0,14.0,64.3,4.0,6.0,6.0,2.0,9.0,118.0,4.0,1.0,0.0,0.0,10.0,3.0,0.0,2.0,0.0,0.0,0.0,4.0,10.0,3.72,8.0,1.0,0.0,0.0,1.0,0.37,1.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,5.0,0.0,5.0,0.0,0.0,0.0,143.0,0.0,18.0,51.0,77.0,7.0,143.0,99.0,4.0,4.0,3.0,110.0,1.0,2.0,0.0,6.0,3.0,0.0,0.0,0.0,0.0,10.0,0.0,2.0,0.0
+Gleison Bremer,br BRA,DF,Juventus,26-187,1997,4.0,4.0,360.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.05,0.05,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,-0.2,-0.2,198.0,225.0,88.0,3527.0,1043.0,76.0,85.0,89.4,103.0,107.0,96.3,15.0,26.0,57.7,0.0,3.0,0.0,0.0,5.0,198.0,25.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,1.0,2.0,0.5,2.0,0.0,0.0,0.0,2.0,0.5,2.0,0.0,0.0,0.0,0.0,6.0,6.0,5.0,1.0,0.0,4.0,3.0,1.0,5.0,14.0,0.0,264.0,49.0,156.0,96.0,12.0,5.0,264.0,141.0,1.0,1.0,1.0,163.0,2.0,2.0,0.0,6.0,0.0,1.0,0.0,0.0,0.0,18.0,6.0,7.0,46.2
+Marco Brescianini,it ITA,MF,Frosinone,23-244,2000,3.0,0.0,41.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.05,0.05,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,10.0,14.0,71.4,167.0,110.0,5.0,7.0,71.4,2.0,2.0,100.0,2.0,2.0,100.0,0.0,1.0,0.0,0.0,0.0,14.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,4.39,1.0,0.0,0.0,0.0,1.0,2.2,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,18.0,0.0,6.0,9.0,3.0,3.0,18.0,13.0,0.0,1.0,1.0,13.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,100.0
+Alessandro Buongiorno,it ITA,DF,Torino,24-107,1999,4.0,4.0,360.0,1.0,0.0,0.0,0.0,1.0,0.0,0.25,0.0,0.25,0.25,0.25,0.3,0.3,0.06,0.06,4.0,1.0,0.0,100.0,0.25,1.0,1.0,0.26,0.7,0.7,147.0,170.0,86.5,2518.0,808.0,63.0,67.0,94.0,77.0,82.0,93.9,6.0,17.0,35.3,1.0,1.0,0.0,0.0,6.0,168.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,0.5,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,3.0,4.0,3.0,0.0,3.0,1.0,2.0,6.0,17.0,0.0,214.0,21.0,108.0,103.0,3.0,1.0,214.0,121.0,0.0,1.0,1.0,119.0,5.0,1.0,0.0,12.0,3.0,0.0,0.0,1.0,0.0,21.0,10.0,11.0,47.6
+Rareș-Cătălin Burnete,ro ROU,FW,Lecce,19-233,2004,1.0,0.0,8.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,11.25,11.25,0.0,11.25,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,8.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,2.0,2.0,1.0,4.0,2.0,0.0,0.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Juan Cabal,co COL,DF,Hellas Verona,22-256,2001,2.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.09,0.09,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,12.0,15.0,80.0,280.0,123.0,4.0,4.0,100.0,5.0,6.0,83.3,3.0,4.0,75.0,0.0,4.0,0.0,0.0,4.0,14.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,0.0,0.0,14.0,2.0,0.0,16.0,11.0,1.0,0.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,100.0
+Jovane Cabral,cv CPV,"MF,DF",Salernitana,25-099,1998,3.0,2.0,209.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.26,0.26,2.3,4.0,0.0,40.0,1.72,0.0,0.0,0.06,-0.6,-0.6,73.0,90.0,81.1,1384.0,466.0,28.0,31.0,90.3,28.0,34.0,82.4,12.0,16.0,75.0,5.0,11.0,4.0,2.0,15.0,83.0,6.0,3.0,0.0,2.0,7.0,0.0,0.0,0.0,0.0,3.0,1.0,2.0,9.0,3.88,8.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,6.0,3.0,3.0,1.0,1.0,0.0,1.0,0.0,2.0,0.0,122.0,2.0,15.0,65.0,44.0,7.0,122.0,87.0,6.0,3.0,2.0,92.0,6.0,7.0,0.0,8.0,6.0,0.0,0.0,1.0,0.0,8.0,3.0,4.0,42.9
+Liberato Cacace,nz NZL,DF,Empoli,22-359,2000,2.0,2.0,131.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,1.5,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,74.0,101.0,73.3,1172.0,494.0,35.0,41.0,85.4,30.0,38.0,78.9,4.0,12.0,33.3,1.0,4.0,1.0,0.0,6.0,77.0,23.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,23.0,1.0,3.0,3.0,2.05,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,3.0,2.0,0.0,119.0,3.0,32.0,54.0,33.0,1.0,119.0,64.0,3.0,0.0,0.0,69.0,0.0,2.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,6.0,2.0,2.0,50.0
+Jens Cajuste,se SWE,MF,Napoli,24-042,1999,3.0,1.0,69.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,1.3,1.3,0.0,1.3,0.0,0.0,0.06,0.06,0.8,1.0,0.0,100.0,1.3,0.0,0.0,0.05,0.0,0.0,37.0,41.0,90.2,499.0,141.0,24.0,24.0,100.0,11.0,12.0,91.7,1.0,1.0,100.0,3.0,1.0,2.0,0.0,4.0,40.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,5.0,6.52,5.0,0.0,0.0,0.0,2.0,2.61,2.0,0.0,0.0,0.0,0.0,4.0,2.0,3.0,1.0,0.0,2.0,0.0,2.0,1.0,1.0,0.0,54.0,2.0,10.0,28.0,16.0,3.0,54.0,31.0,0.0,1.0,0.0,38.0,3.0,1.0,0.0,5.0,2.0,1.0,0.0,1.0,0.0,5.0,1.0,2.0,33.3
+Davide Calabria,it ITA,DF,Milan,26-289,1996,4.0,4.0,328.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.27,0.27,0.0,0.27,0.2,0.2,0.05,0.05,3.6,1.0,0.0,25.0,0.27,0.0,0.0,0.05,-0.2,-0.2,173.0,195.0,88.7,2872.0,740.0,78.0,82.0,95.1,81.0,89.0,91.0,10.0,18.0,55.6,3.0,10.0,3.0,2.0,12.0,174.0,21.0,5.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,16.0,0.0,1.0,4.0,1.1,3.0,0.0,0.0,1.0,1.0,0.27,1.0,0.0,0.0,0.0,0.0,7.0,2.0,5.0,1.0,1.0,4.0,1.0,3.0,6.0,8.0,0.0,229.0,10.0,69.0,129.0,31.0,2.0,229.0,126.0,2.0,5.0,0.0,154.0,3.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,12.0,1.0,4.0,20.0
+Riccardo Calafiori,it ITA,DF,Bologna,21-125,2002,1.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,12.0,100.0,252.0,86.0,3.0,3.0,100.0,7.0,7.0,100.0,2.0,2.0,100.0,1.0,0.0,2.0,1.0,1.0,12.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,16.36,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,0.0,4.0,5.0,4.0,1.0,13.0,10.0,0.0,1.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Luca Caldirola,it ITA,DF,Monza,32-232,1991,4.0,4.0,354.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,3.9,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,195.0,217.0,89.9,3660.0,1190.0,76.0,77.0,98.7,96.0,106.0,90.6,22.0,30.0,73.3,0.0,15.0,0.0,0.0,8.0,205.0,12.0,4.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,5.0,1.27,5.0,0.0,0.0,0.0,1.0,0.25,1.0,0.0,0.0,0.0,0.0,5.0,3.0,3.0,1.0,1.0,3.0,3.0,0.0,4.0,8.0,0.0,243.0,36.0,108.0,121.0,14.0,2.0,243.0,147.0,2.0,1.0,0.0,186.0,0.0,0.0,1.0,4.0,3.0,0.0,0.0,1.0,0.0,9.0,3.0,1.0,75.0
+Hakan Çalhanoğlu,tr TUR,MF,Inter,29-225,1994,4.0,4.0,337.0,2.0,0.0,2.0,2.0,1.0,0.0,0.53,0.0,0.53,0.0,0.0,1.9,0.3,0.51,0.09,3.7,1.0,2.0,16.7,0.27,0.0,0.0,0.05,0.1,-0.3,214.0,238.0,89.9,4111.0,1320.0,83.0,86.0,96.5,91.0,96.0,94.8,33.0,43.0,76.7,5.0,23.0,0.0,0.0,23.0,216.0,20.0,8.0,1.0,7.0,12.0,10.0,3.0,5.0,0.0,1.0,2.0,2.0,13.0,3.47,7.0,6.0,0.0,0.0,1.0,0.27,1.0,0.0,0.0,0.0,0.0,10.0,8.0,5.0,2.0,3.0,5.0,3.0,2.0,1.0,2.0,0.0,269.0,11.0,73.0,141.0,59.0,3.0,267.0,172.0,5.0,7.0,1.0,179.0,2.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,27.0,4.0,1.0,80.0
+Nicolò Cambiaghi,it ITA,FW,Empoli,22-267,2000,3.0,2.0,202.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.11,0.11,2.2,1.0,0.0,16.7,0.45,0.0,0.0,0.04,-0.2,-0.2,55.0,72.0,76.4,792.0,112.0,33.0,35.0,94.3,19.0,26.0,73.1,2.0,5.0,40.0,1.0,3.0,3.0,3.0,2.0,68.0,4.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,7.0,3.12,6.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,2.0,0.0,1.0,0.0,1.0,2.0,1.0,0.0,93.0,1.0,4.0,27.0,65.0,7.0,93.0,72.0,12.0,2.0,4.0,76.0,4.0,6.0,0.0,2.0,3.0,1.0,0.0,0.0,0.0,8.0,1.0,1.0,50.0
+Andrea Cambiaso,it ITA,DF,Juventus,23-213,2000,4.0,2.0,186.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.48,0.48,0.0,0.48,0.1,0.1,0.03,0.03,2.1,1.0,0.0,50.0,0.48,0.0,0.0,0.03,-0.1,-0.1,101.0,116.0,87.1,1555.0,323.0,57.0,60.0,95.0,37.0,43.0,86.0,4.0,5.0,80.0,2.0,0.0,3.0,1.0,6.0,96.0,19.0,2.0,0.0,1.0,7.0,6.0,0.0,2.0,0.0,11.0,1.0,4.0,7.0,3.39,5.0,1.0,0.0,1.0,1.0,0.48,1.0,0.0,0.0,0.0,0.0,6.0,4.0,3.0,3.0,0.0,1.0,0.0,1.0,0.0,2.0,0.0,141.0,4.0,34.0,57.0,51.0,2.0,141.0,79.0,6.0,5.0,2.0,101.0,3.0,0.0,0.0,3.0,4.0,0.0,0.0,0.0,0.0,6.0,1.0,0.0,100.0
+Matteo Cancellieri,it ITA,FW,Empoli,21-221,2002,4.0,3.0,203.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.1,0.1,2.3,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.2,-0.2,45.0,68.0,66.2,643.0,124.0,28.0,34.0,82.4,12.0,18.0,66.7,4.0,12.0,33.3,0.0,2.0,1.0,0.0,4.0,65.0,1.0,1.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,5.0,2.22,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,1.0,1.0,4.0,0.0,4.0,0.0,1.0,0.0,90.0,3.0,14.0,41.0,37.0,7.0,90.0,66.0,5.0,4.0,2.0,70.0,1.0,5.0,0.0,2.0,5.0,1.0,0.0,0.0,0.0,11.0,0.0,8.0,0.0
+Antonio Candreva,it ITA,MF,Salernitana,36-205,1987,4.0,4.0,360.0,2.0,1.0,0.0,0.0,1.0,0.0,0.5,0.25,0.75,0.5,0.75,0.9,0.9,0.22,0.22,4.0,5.0,1.0,62.5,1.25,0.25,0.4,0.11,1.1,1.1,138.0,190.0,72.6,2015.0,684.0,71.0,77.0,92.2,47.0,65.0,72.3,9.0,27.0,33.3,9.0,11.0,14.0,3.0,24.0,164.0,26.0,11.0,1.0,2.0,23.0,6.0,1.0,3.0,0.0,5.0,0.0,7.0,16.0,4.0,13.0,1.0,1.0,1.0,2.0,0.5,2.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,2.0,0.0,212.0,6.0,17.0,89.0,108.0,11.0,212.0,144.0,10.0,9.0,2.0,172.0,4.0,3.0,0.0,0.0,8.0,2.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0
+Luigi Canotto,it ITA,FW,Frosinone,29-125,1994,1.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,66.7,21.0,9.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,2.0,0.0,0.0,4.0,5.0,0.0,0.0,0.0,3.0,0.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Gianluca Caprari,it ITA,"MF,FW",Monza,30-053,1993,4.0,4.0,255.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.1,0.1,2.8,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.3,-0.3,88.0,111.0,79.3,1602.0,463.0,44.0,47.0,93.6,28.0,35.0,80.0,15.0,21.0,71.4,10.0,9.0,7.0,0.0,15.0,102.0,9.0,1.0,0.0,0.0,6.0,5.0,1.0,3.0,0.0,2.0,0.0,6.0,15.0,5.27,10.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,138.0,1.0,18.0,58.0,64.0,9.0,138.0,98.0,11.0,9.0,5.0,107.0,9.0,9.0,0.0,2.0,3.0,2.0,0.0,0.0,0.0,11.0,0.0,4.0,0.0
+Elia Caprile,it ITA,GK,Empoli,22-027,2001,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,24.0,41.0,58.5,812.0,542.0,0.0,0.0,0.0,10.0,10.0,100.0,14.0,31.0,45.2,0.0,1.0,0.0,0.0,0.0,34.0,7.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,44.0,30.0,44.0,0.0,0.0,0.0,44.0,26.0,0.0,0.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Francesco Caputo,it ITA,FW,Empoli,36-046,1987,4.0,3.0,244.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.17,0.17,2.7,3.0,0.0,42.9,1.11,0.0,0.0,0.07,-0.5,-0.5,34.0,54.0,63.0,412.0,57.0,21.0,29.0,72.4,9.0,11.0,81.8,0.0,1.0,0.0,0.0,2.0,0.0,0.0,5.0,50.0,4.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,6.0,2.21,3.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,72.0,0.0,1.0,33.0,38.0,11.0,72.0,44.0,2.0,2.0,1.0,59.0,6.0,4.0,0.0,1.0,3.0,2.0,0.0,0.0,0.0,0.0,1.0,5.0,16.7
+Andrea Carboni,it ITA,DF,Monza,22-229,2001,2.0,0.0,70.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.31,0.31,0.8,1.0,0.0,100.0,1.29,0.0,0.0,0.24,-0.2,-0.2,55.0,64.0,85.9,992.0,249.0,22.0,23.0,95.7,28.0,29.0,96.6,4.0,9.0,44.4,0.0,5.0,0.0,0.0,0.0,62.0,2.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,1.29,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,69.0,5.0,19.0,39.0,11.0,4.0,69.0,46.0,1.0,2.0,0.0,54.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,4.0,2.0,1.0,66.7
+Valentin Carboni,ar ARG,"DF,MF",Monza,18-200,2005,2.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,2.21,2.21,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.2,-0.2,9.0,10.0,90.0,169.0,48.0,3.0,3.0,100.0,5.0,5.0,100.0,1.0,2.0,50.0,1.0,1.0,0.0,0.0,3.0,8.0,2.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,11.25,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,0.0,2.0,6.0,9.0,2.0,17.0,8.0,1.0,1.0,1.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Carlos,br BRA,DF,Inter,24-257,1999,4.0,0.0,92.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.15,0.15,1.0,1.0,0.0,50.0,0.98,0.0,0.0,0.08,-0.2,-0.2,31.0,41.0,75.6,445.0,135.0,15.0,17.0,88.2,14.0,17.0,82.4,1.0,3.0,33.3,0.0,0.0,0.0,0.0,2.0,35.0,5.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,5.0,1.0,2.0,1.0,0.98,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,50.0,2.0,14.0,16.0,21.0,4.0,50.0,32.0,3.0,2.0,1.0,34.0,2.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,8.0,5.0,0.0,100.0
+Marco Carnesecchi,it ITA,GK,Atalanta,23-082,2000,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,34.0,61.8,649.0,414.0,3.0,3.0,100.0,7.0,8.0,87.5,11.0,23.0,47.8,0.0,1.0,0.0,0.0,0.0,28.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,36.0,33.0,36.0,0.0,0.0,0.0,36.0,25.0,0.0,0.0,0.0,19.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0
+Nicolò Casale,it ITA,DF,Lazio,25-219,1998,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,212.0,228.0,93.0,3845.0,1515.0,80.0,90.0,88.9,108.0,109.0,99.1,20.0,23.0,87.0,1.0,31.0,0.0,0.0,24.0,224.0,4.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,3.0,0.0,0.0,3.0,3.0,0.0,0.0,19.0,0.0,255.0,34.0,95.0,153.0,11.0,0.0,255.0,171.0,9.0,6.0,0.0,182.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,21.0,3.0,3.0,50.0
+Giuseppe Caso,it ITA,"MF,FW",Frosinone,24-286,1998,3.0,1.0,122.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.06,0.06,1.4,1.0,0.0,50.0,0.74,0.0,0.0,0.04,-0.1,-0.1,26.0,30.0,86.7,322.0,129.0,15.0,16.0,93.8,6.0,7.0,85.7,2.0,3.0,66.7,0.0,3.0,3.0,0.0,8.0,30.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,1.48,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,44.0,0.0,4.0,11.0,31.0,5.0,44.0,31.0,5.0,2.0,3.0,33.0,3.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
+Valentín Castellanos,ar ARG,"FW,MF",Lazio,24-353,1998,4.0,0.0,38.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,1.44,1.44,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.2,-0.6,-0.6,9.0,11.0,81.8,119.0,28.0,4.0,6.0,66.7,4.0,4.0,100.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,10.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,22.0,0.0,1.0,8.0,13.0,6.0,22.0,8.0,0.0,0.0,0.0,14.0,5.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,7.0,22.2
+Samu Castillejo,es ESP,FW,Sassuolo,28-246,1995,1.0,0.0,24.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.26,0.26,0.3,1.0,0.0,50.0,3.75,0.0,0.0,0.04,-0.1,-0.1,12.0,17.0,70.6,130.0,26.0,11.0,13.0,84.6,1.0,2.0,50.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,16.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,22.0,0.0,0.0,3.0,19.0,6.0,22.0,21.0,3.0,0.0,4.0,21.0,2.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
+Danilo Cataldi,it ITA,MF,Lazio,29-046,1994,4.0,4.0,300.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,3.3,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,167.0,185.0,90.3,2466.0,733.0,98.0,104.0,94.2,61.0,65.0,93.8,6.0,11.0,54.5,1.0,13.0,0.0,0.0,16.0,177.0,8.0,4.0,0.0,0.0,4.0,2.0,0.0,2.0,0.0,2.0,0.0,1.0,3.0,0.9,2.0,0.0,0.0,0.0,1.0,0.3,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,3.0,2.0,1.0,6.0,6.0,1.0,208.0,12.0,58.0,136.0,17.0,0.0,208.0,111.0,3.0,3.0,0.0,147.0,3.0,1.0,0.0,6.0,3.0,0.0,0.0,0.0,0.0,27.0,1.0,0.0,100.0
+Emil Ceide,no NOR,"MF,FW",Sassuolo,22-018,2001,3.0,0.0,81.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.09,0.09,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.1,-0.1,20.0,27.0,74.1,228.0,54.0,15.0,18.0,83.3,3.0,4.0,75.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0,2.0,27.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,4.44,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,3.0,0.0,0.0,0.0,37.0,0.0,5.0,13.0,21.0,3.0,37.0,20.0,3.0,1.0,2.0,27.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Zeki Çelik,tr TUR,DF,Roma,26-216,1997,1.0,1.0,69.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,27.0,33.0,81.8,487.0,258.0,14.0,17.0,82.4,10.0,12.0,83.3,3.0,4.0,75.0,0.0,1.0,0.0,0.0,3.0,29.0,4.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,2.0,0.0,38.0,2.0,14.0,18.0,6.0,0.0,38.0,20.0,0.0,2.0,0.0,24.0,1.0,1.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,2.0,50.0
+Michele Cerofolini,it ITA,GK,Frosinone,24-260,1999,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,32.0,50.0,342.0,254.0,5.0,5.0,100.0,7.0,7.0,100.0,4.0,20.0,20.0,0.0,0.0,0.0,0.0,0.0,24.0,8.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,34.0,30.0,34.0,0.0,0.0,0.0,34.0,23.0,0.0,0.0,0.0,22.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Walid Cheddira,ma MAR,FW,Frosinone,25-242,1998,3.0,3.0,250.0,1.0,1.0,1.0,1.0,0.0,0.0,0.36,0.36,0.72,0.0,0.36,1.7,0.9,0.61,0.32,2.8,1.0,0.0,25.0,0.36,0.0,0.0,0.22,-0.7,-0.9,32.0,48.0,66.7,366.0,36.0,19.0,29.0,65.5,9.0,12.0,75.0,1.0,1.0,100.0,4.0,1.0,0.0,0.0,1.0,46.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,7.0,2.52,4.0,0.0,2.0,1.0,2.0,0.72,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,1.0,0.0,70.0,2.0,3.0,31.0,36.0,12.0,69.0,40.0,5.0,1.0,3.0,56.0,7.0,3.0,0.0,3.0,4.0,5.0,1.0,0.0,0.0,5.0,4.0,8.0,33.3
+Federico Chiesa,it ITA,FW,Juventus,25-331,1997,4.0,4.0,313.0,3.0,0.0,0.0,0.0,0.0,0.0,0.86,0.0,0.86,0.86,0.86,1.0,1.0,0.3,0.3,3.5,3.0,0.0,42.9,0.86,0.43,1.0,0.15,2.0,2.0,63.0,96.0,65.6,903.0,254.0,33.0,45.0,73.3,24.0,35.0,68.6,2.0,7.0,28.6,5.0,0.0,8.0,0.0,9.0,87.0,7.0,3.0,1.0,0.0,11.0,2.0,1.0,1.0,0.0,2.0,2.0,2.0,12.0,3.44,9.0,1.0,0.0,0.0,2.0,0.57,1.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,3.0,1.0,2.0,3.0,3.0,0.0,134.0,3.0,15.0,35.0,85.0,20.0,134.0,83.0,19.0,10.0,8.0,100.0,5.0,3.0,0.0,1.0,6.0,2.0,0.0,0.0,0.0,9.0,0.0,1.0,0.0
+Oliver Christensen,dk DEN,GK,Fiorentina,24-183,1999,2.0,2.0,180.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,66.0,86.0,76.7,1928.0,1329.0,8.0,8.0,100.0,28.0,30.0,93.3,29.0,47.0,61.7,0.0,1.0,0.0,0.0,0.0,75.0,11.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,90.0,68.0,90.0,0.0,0.0,0.0,90.0,61.0,0.0,0.0,0.0,59.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,3.0,0.0,0.0,0.0
+Samuel Chukwueze,ng NGA,"FW,MF",Milan,24-122,1999,4.0,0.0,92.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.08,0.08,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,23.0,31.0,74.2,300.0,61.0,15.0,17.0,88.2,6.0,9.0,66.7,1.0,4.0,25.0,0.0,1.0,1.0,0.0,3.0,29.0,2.0,0.0,0.0,0.0,3.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,0.99,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,42.0,1.0,9.0,17.0,16.0,4.0,42.0,28.0,5.0,3.0,1.0,31.0,2.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,6.0,2.0,3.0,40.0
+Patrick Ciurria,it ITA,DF,Monza,28-224,1995,4.0,4.0,358.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.25,0.25,0.0,0.25,0.3,0.3,0.09,0.09,4.0,1.0,0.0,14.3,0.25,0.0,0.0,0.05,-0.3,-0.3,200.0,250.0,80.0,3217.0,1115.0,111.0,124.0,89.5,72.0,91.0,79.1,13.0,21.0,61.9,8.0,13.0,10.0,4.0,19.0,213.0,37.0,2.0,1.0,1.0,20.0,1.0,0.0,0.0,0.0,34.0,0.0,9.0,16.0,4.02,14.0,0.0,0.0,0.0,1.0,0.25,1.0,0.0,0.0,0.0,0.0,6.0,3.0,2.0,2.0,2.0,3.0,2.0,1.0,3.0,4.0,0.0,283.0,9.0,61.0,95.0,130.0,9.0,283.0,157.0,8.0,15.0,2.0,204.0,3.0,1.0,0.0,6.0,1.0,1.0,0.0,0.0,0.0,12.0,2.0,2.0,50.0
+Lorenzo Colombo,it ITA,FW,Monza,21-197,2002,2.0,1.0,97.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.93,0.93,0.0,0.93,0.3,0.3,0.27,0.27,1.1,0.0,0.0,0.0,0.0,0.0,0.0,0.29,-0.3,-0.3,17.0,24.0,70.8,242.0,64.0,10.0,15.0,66.7,3.0,4.0,75.0,2.0,3.0,66.7,2.0,0.0,2.0,0.0,4.0,21.0,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,4.0,3.71,4.0,0.0,0.0,0.0,1.0,0.93,1.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,31.0,1.0,6.0,14.0,11.0,3.0,31.0,17.0,2.0,1.0,0.0,22.0,5.0,2.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,4.0,1.0,2.0,33.3
+Andrea Colpani,it ITA,MF,Monza,24-133,1999,4.0,4.0,311.0,3.0,0.0,0.0,0.0,0.0,0.0,0.87,0.0,0.87,0.87,0.87,1.0,1.0,0.3,0.3,3.5,5.0,1.0,45.5,1.45,0.27,0.6,0.09,2.0,2.0,107.0,136.0,78.7,2075.0,518.0,43.0,48.0,89.6,44.0,51.0,86.3,19.0,30.0,63.3,9.0,10.0,9.0,2.0,24.0,116.0,19.0,2.0,0.0,2.0,15.0,13.0,5.0,6.0,0.0,4.0,1.0,3.0,19.0,5.5,13.0,4.0,0.0,0.0,1.0,0.29,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,166.0,1.0,9.0,56.0,102.0,15.0,166.0,101.0,12.0,6.0,4.0,129.0,3.0,4.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,10.0,0.0,2.0,0.0
+Andrea Consigli,it ITA,GK,Sassuolo,36-237,1987,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,87.0,129.0,67.4,2284.0,1517.0,20.0,20.0,100.0,34.0,35.0,97.1,31.0,72.0,43.1,0.0,3.0,0.0,0.0,0.0,88.0,41.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,136.0,115.0,136.0,0.0,0.0,0.0,136.0,67.0,0.0,0.0,0.0,62.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0
+Diego Coppola,it ITA,DF,Hellas Verona,19-267,2003,2.0,2.0,180.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.05,0.0,0.0,69.0,92.0,75.0,1290.0,389.0,29.0,34.0,85.3,29.0,35.0,82.9,10.0,18.0,55.6,0.0,0.0,0.0,0.0,1.0,88.0,4.0,3.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.5,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,4.0,2.0,0.0,4.0,2.0,2.0,2.0,16.0,0.0,129.0,21.0,90.0,37.0,3.0,1.0,129.0,58.0,0.0,0.0,0.0,60.0,1.0,1.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,14.0,13.0,5.0,72.2
+Tommaso Corazza,it ITA,DF,Bologna,19-084,2004,2.0,0.0,34.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,23.0,87.0,288.0,87.0,9.0,10.0,90.0,6.0,6.0,100.0,2.0,3.0,66.7,0.0,0.0,0.0,0.0,1.0,18.0,5.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,2.0,5.29,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,33.0,3.0,13.0,11.0,10.0,4.0,33.0,15.0,2.0,1.0,1.0,18.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0
+Lassana Coulibaly,ml MLI,MF,Salernitana,27-164,1996,3.0,3.0,240.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.37,0.37,0.0,0.37,0.0,0.0,0.01,0.01,2.7,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,85.0,103.0,82.5,1387.0,404.0,40.0,45.0,88.9,38.0,44.0,86.4,5.0,8.0,62.5,4.0,10.0,1.0,0.0,10.0,98.0,5.0,5.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,4.0,1.5,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,2.0,1.0,1.0,3.0,1.0,2.0,4.0,5.0,0.0,132.0,5.0,20.0,87.0,25.0,5.0,132.0,75.0,3.0,3.0,0.0,82.0,7.0,4.0,0.0,4.0,6.0,0.0,0.0,0.0,0.0,14.0,3.0,2.0,60.0
+Mamadou Coulibaly,sn SEN,DF,Salernitana,24-230,1999,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,33.3,6.0,1.0,1.0,3.0,33.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,1.0,2.0,0.0,3.0,3.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Alessio Cragno,it ITA,GK,Sassuolo,29-085,1994,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,33.0,63.6,539.0,385.0,6.0,6.0,100.0,8.0,8.0,100.0,7.0,19.0,36.8,0.0,0.0,0.0,0.0,0.0,22.0,11.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,39.0,30.0,39.0,0.0,0.0,0.0,39.0,16.0,0.0,0.0,0.0,19.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Bryan Cristante,it ITA,MF,Roma,28-202,1995,4.0,4.0,360.0,1.0,2.0,0.0,0.0,0.0,0.0,0.25,0.5,0.75,0.25,0.75,0.3,0.3,0.08,0.08,4.0,1.0,0.0,11.1,0.25,0.11,1.0,0.03,0.7,0.7,200.0,240.0,83.3,3451.0,1095.0,88.0,102.0,86.3,87.0,93.0,93.5,19.0,27.0,70.4,9.0,20.0,5.0,0.0,24.0,234.0,3.0,3.0,0.0,3.0,3.0,0.0,0.0,0.0,0.0,0.0,3.0,4.0,22.0,5.5,20.0,0.0,2.0,0.0,4.0,1.0,3.0,0.0,1.0,0.0,0.0,5.0,3.0,3.0,2.0,0.0,1.0,0.0,1.0,4.0,2.0,0.0,269.0,5.0,55.0,159.0,60.0,11.0,269.0,171.0,8.0,7.0,0.0,210.0,4.0,6.0,0.0,11.0,1.0,0.0,0.0,0.0,0.0,32.0,10.0,9.0,52.6
+Juan Cuadrado,co COL,DF,Inter,35-118,1988,3.0,0.0,65.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.38,1.38,0.0,1.38,0.1,0.1,0.09,0.09,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,36.0,43.0,83.7,632.0,114.0,16.0,16.0,100.0,12.0,14.0,85.7,5.0,9.0,55.6,3.0,1.0,1.0,1.0,1.0,41.0,2.0,0.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,4.0,5.54,4.0,0.0,0.0,0.0,1.0,1.38,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,52.0,0.0,10.0,24.0,19.0,6.0,52.0,37.0,8.0,3.0,4.0,40.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0
+Marvin Cuni,al ALB,FW,Frosinone,22-073,2001,3.0,1.0,86.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,23.0,69.6,146.0,6.0,9.0,11.0,81.8,4.0,6.0,66.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,36.0,0.0,1.0,20.0,15.0,4.0,36.0,20.0,0.0,0.0,0.0,32.0,6.0,4.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,3.0,5.0,7.0,41.7
+Danilo D'Ambrosio,it ITA,DF,Monza,35-012,1988,2.0,1.0,89.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,70.0,75.0,93.3,1251.0,362.0,28.0,28.0,100.0,37.0,39.0,94.9,5.0,7.0,71.4,1.0,5.0,1.0,0.0,5.0,68.0,7.0,3.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,1.01,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,4.0,1.0,0.0,2.0,1.0,1.0,3.0,2.0,0.0,87.0,12.0,36.0,45.0,6.0,0.0,87.0,50.0,3.0,0.0,0.0,60.0,0.0,0.0,0.0,3.0,1.0,1.0,0.0,0.0,0.0,3.0,1.0,1.0,50.0
+Danilo,br BRA,DF,Juventus,32-068,1991,4.0,4.0,360.0,1.0,0.0,0.0,0.0,1.0,0.0,0.25,0.0,0.25,0.25,0.25,0.4,0.4,0.1,0.1,4.0,1.0,0.0,20.0,0.25,0.2,1.0,0.08,0.6,0.6,228.0,265.0,86.0,4322.0,1766.0,90.0,96.0,93.8,107.0,117.0,91.5,28.0,45.0,62.2,3.0,27.0,3.0,1.0,26.0,257.0,8.0,5.0,0.0,4.0,4.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,11.0,2.75,10.0,0.0,1.0,0.0,1.0,0.25,0.0,0.0,1.0,0.0,0.0,6.0,4.0,4.0,2.0,0.0,3.0,1.0,2.0,6.0,12.0,0.0,301.0,32.0,125.0,138.0,40.0,5.0,301.0,150.0,2.0,2.0,0.0,209.0,1.0,0.0,0.0,5.0,3.0,0.0,0.0,0.0,0.0,23.0,7.0,1.0,87.5
+Matteo Darmian,it ITA,DF,Inter,33-293,1989,4.0,4.0,353.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,3.9,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,153.0,175.0,87.4,2782.0,915.0,63.0,70.0,90.0,77.0,78.0,98.7,11.0,19.0,57.9,1.0,15.0,0.0,0.0,12.0,174.0,1.0,1.0,1.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,0.76,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,4.0,4.0,5.0,1.0,6.0,2.0,4.0,2.0,10.0,0.0,206.0,23.0,88.0,111.0,7.0,1.0,206.0,142.0,3.0,2.0,0.0,148.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,12.0,3.0,6.0,33.3
+Paweł Dawidowicz,pl POL,DF,Hellas Verona,28-124,1995,4.0,4.0,360.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,186.0,226.0,82.3,4150.0,1560.0,38.0,50.0,76.0,109.0,121.0,90.1,37.0,51.0,72.5,1.0,9.0,1.0,0.0,14.0,213.0,12.0,8.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,4.0,1.0,1.0,2.0,0.5,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,5.0,3.0,4.0,0.0,2.0,1.0,1.0,3.0,15.0,0.0,255.0,24.0,125.0,128.0,5.0,1.0,255.0,157.0,2.0,2.0,0.0,158.0,2.0,1.0,0.0,5.0,3.0,0.0,0.0,0.0,0.0,26.0,14.0,2.0,87.5
+Charles De Ketelaere,be BEL,FW,Atalanta,22-195,2001,4.0,2.0,229.0,1.0,1.0,0.0,0.0,0.0,0.0,0.39,0.39,0.79,0.39,0.79,0.5,0.5,0.19,0.19,2.5,2.0,0.0,40.0,0.79,0.2,0.5,0.1,0.5,0.5,79.0,101.0,78.2,1137.0,320.0,43.0,55.0,78.2,25.0,31.0,80.6,5.0,7.0,71.4,5.0,6.0,4.0,1.0,15.0,96.0,5.0,3.0,1.0,0.0,5.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,7.0,2.75,6.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,1.0,1.0,4.0,3.0,0.0,3.0,1.0,1.0,0.0,134.0,0.0,7.0,54.0,77.0,13.0,134.0,87.0,11.0,8.0,4.0,100.0,6.0,6.0,0.0,3.0,1.0,2.0,0.0,0.0,0.0,11.0,5.0,3.0,62.5
+Lorenzo De Silvestri,it ITA,DF,Bologna,35-121,1988,2.0,1.0,67.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,45.0,48.0,93.8,756.0,234.0,19.0,19.0,100.0,25.0,28.0,89.3,1.0,1.0,100.0,0.0,0.0,1.0,1.0,4.0,45.0,3.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,1.0,1.34,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,0.0,58.0,5.0,25.0,31.0,2.0,0.0,58.0,36.0,0.0,0.0,0.0,39.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,100.0
+Koni De Winter,be BEL,DF,Genoa,21-101,2002,1.0,1.0,90.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.04,0.04,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,12.0,26.0,46.2,172.0,80.0,6.0,12.0,50.0,6.0,9.0,66.7,0.0,2.0,0.0,1.0,1.0,0.0,0.0,0.0,17.0,9.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,9.0,0.0,2.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,33.0,9.0,17.0,11.0,5.0,2.0,33.0,13.0,1.0,0.0,1.0,12.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,2.0,60.0
+Grégoire Defrel,mq MTQ,FW,Sassuolo,32-096,1991,1.0,1.0,77.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,18.0,83.3,264.0,62.0,5.0,6.0,83.3,8.0,10.0,80.0,2.0,2.0,100.0,1.0,3.0,0.0,0.0,3.0,17.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,2.0,2.34,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,21.0,2.0,5.0,11.0,5.0,2.0,21.0,16.0,0.0,0.0,0.0,17.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,100.0
+Alessandro Deiola,it ITA,MF,Cagliari,28-051,1995,4.0,1.0,125.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.9,0.68,0.68,1.4,0.0,1.0,0.0,0.0,0.0,0.0,0.14,-0.9,-0.9,32.0,45.0,71.1,519.0,171.0,17.0,19.0,89.5,13.0,16.0,81.3,2.0,7.0,28.6,1.0,3.0,0.0,0.0,7.0,45.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,1.44,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,3.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,59.0,1.0,13.0,27.0,19.0,6.0,59.0,33.0,2.0,1.0,0.0,30.0,1.0,2.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,9.0,2.0,1.0,66.7
+Mattia Destro,it ITA,FW,Empoli,32-185,1991,2.0,1.0,78.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.03,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,10.0,13.0,76.9,146.0,7.0,5.0,5.0,100.0,5.0,7.0,71.4,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,7.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,22.0,0.0,2.0,11.0,9.0,2.0,22.0,11.0,1.0,1.0,0.0,13.0,2.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,40.0
+Federico Di Francesco,it ITA,"FW,MF",Lecce,29-099,1994,2.0,0.0,15.0,1.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,6.0,6.0,6.0,0.1,0.1,0.53,0.53,0.2,1.0,0.0,50.0,6.0,0.5,1.0,0.04,0.9,0.9,6.0,8.0,75.0,90.0,43.0,1.0,2.0,50.0,2.0,2.0,100.0,1.0,2.0,50.0,0.0,1.0,0.0,0.0,1.0,8.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,0.0,2.0,8.0,5.0,3.0,15.0,9.0,1.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Michele Di Gregorio,it ITA,GK,Monza,26-056,1997,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,105.0,134.0,78.4,2487.0,1416.0,22.0,23.0,95.7,57.0,57.0,100.0,24.0,51.0,47.1,0.0,2.0,0.0,0.0,0.0,105.0,28.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.33,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,143.0,112.0,143.0,0.0,0.0,0.0,143.0,84.0,0.0,0.0,0.0,81.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
+Giovanni Di Lorenzo,it ITA,DF,Napoli,30-048,1993,4.0,4.0,360.0,1.0,2.0,0.0,0.0,0.0,0.0,0.25,0.5,0.75,0.25,0.75,0.5,0.5,0.14,0.14,4.0,1.0,0.0,33.3,0.25,0.33,1.0,0.18,0.5,0.5,205.0,249.0,82.3,3097.0,1060.0,121.0,129.0,93.8,67.0,87.0,77.0,13.0,21.0,61.9,12.0,18.0,14.0,4.0,24.0,215.0,33.0,4.0,1.0,0.0,17.0,0.0,0.0,0.0,0.0,29.0,1.0,4.0,20.0,5.0,19.0,0.0,0.0,0.0,2.0,0.5,2.0,0.0,0.0,0.0,0.0,10.0,8.0,5.0,5.0,0.0,2.0,1.0,1.0,2.0,3.0,0.0,275.0,5.0,48.0,132.0,97.0,13.0,275.0,174.0,17.0,7.0,4.0,204.0,2.0,1.0,0.0,2.0,3.0,1.0,0.0,0.0,0.0,13.0,0.0,2.0,0.0
+Alessandro Di Pardo,it ITA,"MF,DF",Cagliari,24-065,1999,4.0,0.0,146.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,1.6,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,43.0,64.0,67.2,708.0,296.0,23.0,28.0,82.1,16.0,22.0,72.7,3.0,7.0,42.9,1.0,2.0,2.0,1.0,5.0,57.0,7.0,0.0,0.0,1.0,7.0,0.0,0.0,0.0,0.0,7.0,0.0,4.0,1.0,0.62,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,2.0,1.0,1.0,2.0,2.0,0.0,80.0,7.0,29.0,29.0,23.0,1.0,80.0,47.0,1.0,0.0,0.0,40.0,1.0,2.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,16.0,1.0,1.0,50.0
+Boulaye Dia,sn SEN,"FW,DF",Salernitana,26-309,1996,2.0,1.0,115.0,1.0,0.0,0.0,0.0,0.0,0.0,0.78,0.0,0.78,0.78,0.78,0.3,0.3,0.22,0.22,1.3,1.0,0.0,100.0,0.78,1.0,1.0,0.29,0.7,0.7,18.0,21.0,85.7,336.0,90.0,11.0,13.0,84.6,4.0,5.0,80.0,3.0,3.0,100.0,1.0,4.0,1.0,0.0,3.0,19.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.78,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,31.0,1.0,1.0,14.0,16.0,4.0,31.0,19.0,0.0,2.0,2.0,23.0,2.0,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,6.0,14.3
+Federico Dimarco,it ITA,DF,Inter,25-315,1997,4.0,4.0,268.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,1.01,1.01,0.0,1.01,0.4,0.4,0.13,0.13,3.0,3.0,1.0,37.5,1.01,0.0,0.0,0.05,-0.4,-0.4,135.0,169.0,79.9,2225.0,836.0,69.0,76.0,90.8,44.0,54.0,81.5,15.0,29.0,51.7,13.0,7.0,14.0,8.0,20.0,137.0,32.0,2.0,0.0,3.0,30.0,9.0,2.0,7.0,0.0,21.0,0.0,1.0,25.0,8.4,20.0,3.0,1.0,0.0,4.0,1.34,3.0,0.0,1.0,0.0,0.0,8.0,6.0,4.0,3.0,1.0,2.0,1.0,1.0,2.0,5.0,0.0,199.0,7.0,33.0,69.0,101.0,9.0,199.0,117.0,7.0,3.0,0.0,125.0,4.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,18.0,0.0,1.0,0.0
+Berat Djimsiti,al ALB,DF,Atalanta,30-214,1993,3.0,3.0,254.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,119.0,135.0,88.1,2215.0,781.0,42.0,43.0,97.7,62.0,70.0,88.6,12.0,15.0,80.0,0.0,3.0,0.0,0.0,7.0,130.0,3.0,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.35,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,1.0,0.0,7.0,4.0,3.0,4.0,5.0,0.0,158.0,16.0,87.0,63.0,9.0,2.0,158.0,89.0,0.0,0.0,0.0,105.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,14.0,5.0,7.0,41.7
+Dodô,br BRA,DF,Fiorentina,24-308,1998,4.0,3.0,262.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,2.9,1.0,0.0,100.0,0.34,0.0,0.0,0.06,-0.1,-0.1,152.0,185.0,82.2,2804.0,957.0,59.0,67.0,88.1,73.0,86.0,84.9,18.0,26.0,69.2,6.0,14.0,6.0,2.0,26.0,158.0,26.0,4.0,1.0,1.0,8.0,0.0,0.0,0.0,0.0,22.0,1.0,0.0,6.0,2.06,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,2.0,0.0,2.0,0.0,2.0,3.0,6.0,0.0,209.0,9.0,43.0,113.0,54.0,1.0,209.0,142.0,12.0,6.0,1.0,147.0,4.0,0.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,10.0,1.0,0.0,100.0
+Josh Doig,sct SCO,DF,Hellas Verona,21-126,2002,4.0,4.0,298.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.06,0.06,3.3,1.0,0.0,20.0,0.3,0.0,0.0,0.04,-0.2,-0.2,88.0,116.0,75.9,1625.0,562.0,34.0,40.0,85.0,45.0,53.0,84.9,7.0,15.0,46.7,1.0,8.0,1.0,1.0,5.0,91.0,24.0,0.0,0.0,1.0,8.0,0.0,0.0,0.0,0.0,24.0,1.0,2.0,3.0,0.91,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,4.0,0.0,4.0,0.0,9.0,0.0,145.0,6.0,33.0,76.0,38.0,8.0,145.0,69.0,5.0,4.0,1.0,82.0,4.0,1.0,0.0,2.0,1.0,1.0,0.0,1.0,0.0,12.0,3.0,2.0,60.0
+Nicolás Domínguez,ar ARG,MF,Bologna,25-085,1998,2.0,1.0,101.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,83.0,92.0,90.2,1276.0,370.0,45.0,49.0,91.8,36.0,40.0,90.0,2.0,2.0,100.0,1.0,5.0,1.0,0.0,9.0,90.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,2.0,1.78,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,3.0,0.0,3.0,0.0,2.0,0.0,103.0,2.0,23.0,69.0,12.0,0.0,103.0,39.0,1.0,2.0,0.0,79.0,1.0,3.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,7.0,1.0,0.0,100.0
+Patrick Dorgu,dk DEN,DF,Lecce,18-330,2004,4.0,1.0,140.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,1.6,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,70.0,84.0,83.3,997.0,306.0,37.0,40.0,92.5,27.0,32.0,84.4,1.0,3.0,33.3,1.0,2.0,1.0,0.0,4.0,56.0,28.0,3.0,0.0,0.0,4.0,4.0,0.0,0.0,0.0,21.0,0.0,3.0,7.0,4.5,2.0,4.0,1.0,0.0,1.0,0.64,0.0,0.0,1.0,0.0,0.0,5.0,3.0,3.0,2.0,0.0,2.0,0.0,2.0,0.0,2.0,0.0,106.0,4.0,36.0,37.0,34.0,3.0,106.0,55.0,1.0,1.0,0.0,50.0,3.0,0.0,0.0,2.0,6.0,0.0,0.0,0.0,0.0,13.0,1.0,6.0,14.3
+Alberto Dossena,it ITA,DF,Cagliari,24-343,1998,4.0,4.0,360.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.04,0.04,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.18,-0.2,-0.2,104.0,131.0,79.4,2223.0,770.0,28.0,34.0,82.4,57.0,67.0,85.1,18.0,25.0,72.0,0.0,10.0,0.0,0.0,12.0,127.0,4.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.25,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,5.0,1.0,0.0,8.0,5.0,3.0,4.0,24.0,1.0,181.0,41.0,118.0,60.0,5.0,2.0,181.0,91.0,1.0,0.0,0.0,76.0,2.0,1.0,0.0,4.0,3.0,0.0,0.0,0.0,0.0,37.0,9.0,11.0,45.0
+Radu Drăgușin,ro ROU,DF,Genoa,21-230,2002,4.0,4.0,360.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,88.0,108.0,81.5,1594.0,437.0,39.0,44.0,88.6,37.0,42.0,88.1,11.0,19.0,57.9,1.0,0.0,0.0,0.0,2.0,91.0,17.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.25,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,3.0,0.0,0.0,5.0,3.0,2.0,4.0,30.0,2.0,156.0,59.0,114.0,39.0,3.0,1.0,156.0,61.0,1.0,1.0,1.0,68.0,1.0,1.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,11.0,8.0,5.0,61.5
+Ondrej Duda,sk SVK,MF,Hellas Verona,28-290,1994,4.0,4.0,303.0,1.0,1.0,0.0,0.0,1.0,0.0,0.3,0.3,0.59,0.3,0.59,0.7,0.7,0.21,0.21,3.4,1.0,0.0,50.0,0.3,0.5,1.0,0.36,0.3,0.3,78.0,103.0,75.7,1502.0,550.0,31.0,37.0,83.8,32.0,36.0,88.9,15.0,24.0,62.5,10.0,10.0,3.0,0.0,13.0,85.0,16.0,10.0,2.0,2.0,12.0,6.0,3.0,3.0,0.0,0.0,2.0,5.0,14.0,4.17,7.0,5.0,0.0,1.0,1.0,0.3,1.0,0.0,0.0,0.0,0.0,5.0,2.0,1.0,3.0,1.0,3.0,1.0,2.0,4.0,4.0,0.0,133.0,7.0,32.0,71.0,33.0,3.0,133.0,66.0,1.0,0.0,0.0,62.0,7.0,0.0,0.0,4.0,4.0,0.0,0.0,0.0,0.0,22.0,0.0,3.0,0.0
+Denzel Dumfries,nl NED,DF,Inter,27-156,1996,4.0,4.0,295.0,1.0,2.0,0.0,0.0,0.0,0.0,0.31,0.61,0.92,0.31,0.92,0.5,0.5,0.14,0.14,3.3,1.0,0.0,20.0,0.31,0.2,1.0,0.09,0.5,0.5,76.0,111.0,68.5,1232.0,413.0,34.0,44.0,77.3,32.0,48.0,66.7,5.0,10.0,50.0,8.0,4.0,6.0,2.0,10.0,93.0,18.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,18.0,0.0,2.0,10.0,3.05,8.0,1.0,1.0,0.0,2.0,0.61,2.0,0.0,0.0,0.0,0.0,5.0,3.0,2.0,3.0,0.0,3.0,2.0,1.0,0.0,3.0,0.0,144.0,4.0,24.0,69.0,52.0,11.0,144.0,91.0,4.0,4.0,1.0,97.0,6.0,2.0,0.0,4.0,4.0,1.0,0.0,0.0,0.0,10.0,2.0,3.0,40.0
+Alfred Duncan,gh GHA,MF,Fiorentina,30-195,1993,3.0,2.0,178.0,1.0,2.0,0.0,0.0,0.0,0.0,0.51,1.01,1.52,0.51,1.52,0.7,0.7,0.35,0.35,2.0,1.0,0.0,50.0,0.51,0.5,1.0,0.34,0.3,0.3,68.0,81.0,84.0,1416.0,453.0,22.0,24.0,91.7,36.0,41.0,87.8,10.0,13.0,76.9,8.0,11.0,4.0,3.0,15.0,76.0,5.0,1.0,1.0,1.0,7.0,2.0,1.0,1.0,0.0,1.0,0.0,3.0,8.0,4.07,6.0,1.0,0.0,0.0,2.0,1.02,1.0,1.0,0.0,0.0,0.0,7.0,6.0,1.0,3.0,3.0,4.0,2.0,2.0,0.0,1.0,0.0,94.0,3.0,10.0,54.0,30.0,2.0,94.0,56.0,1.0,1.0,0.0,59.0,1.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,10.0,1.0,4.0,20.0
+Paulo Dybala,ar ARG,FW,Roma,29-310,1993,2.0,2.0,130.0,2.0,0.0,1.0,1.0,2.0,0.0,1.38,0.0,1.38,0.69,0.69,1.6,0.8,1.08,0.54,1.4,4.0,1.0,66.7,2.77,0.17,0.25,0.13,0.4,0.2,51.0,62.0,82.3,754.0,195.0,33.0,36.0,91.7,13.0,16.0,81.3,4.0,8.0,50.0,1.0,3.0,1.0,0.0,7.0,54.0,7.0,1.0,0.0,0.0,6.0,4.0,0.0,4.0,0.0,0.0,1.0,1.0,5.0,3.46,3.0,1.0,0.0,0.0,1.0,0.69,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,79.0,1.0,3.0,34.0,42.0,7.0,78.0,50.0,9.0,3.0,5.0,60.0,0.0,3.0,0.0,1.0,3.0,1.0,0.0,0.0,0.0,5.0,1.0,2.0,33.3
+Festy Ebosele,ie IRL,DF,Udinese,21-050,2002,4.0,2.0,172.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,1.9,0.0,0.0,0.0,0.0,0.0,0.0,0.02,-0.1,-0.1,37.0,50.0,74.0,490.0,210.0,23.0,29.0,79.3,10.0,13.0,76.9,2.0,3.0,66.7,1.0,2.0,2.0,0.0,4.0,43.0,7.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,7.0,0.0,2.0,7.0,3.66,4.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,5.0,0.0,0.0,3.0,0.0,3.0,0.0,1.0,0.0,70.0,3.0,19.0,19.0,33.0,6.0,70.0,42.0,10.0,1.0,3.0,42.0,4.0,2.0,0.0,2.0,3.0,0.0,0.0,1.0,0.0,7.0,0.0,3.0,0.0
+Enzo Ebosse,cm CMR,DF,Udinese,24-194,1999,1.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,15.0,80.0,222.0,57.0,4.0,4.0,100.0,7.0,9.0,77.8,1.0,2.0,50.0,0.0,1.0,0.0,0.0,1.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,11.25,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,17.0,5.0,9.0,8.0,0.0,0.0,17.0,12.0,0.0,0.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
+Tyronne Ebuehi,ng NGA,DF,Empoli,27-279,1995,2.0,2.0,180.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,66.0,93.0,71.0,1121.0,343.0,30.0,38.0,78.9,26.0,37.0,70.3,7.0,11.0,63.6,2.0,5.0,1.0,0.0,9.0,74.0,19.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,18.0,0.0,4.0,3.0,1.5,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,2.0,1.0,1.0,0.0,2.0,0.0,110.0,3.0,37.0,54.0,19.0,5.0,110.0,56.0,8.0,2.0,1.0,62.0,5.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,8.0,2.0,5.0,28.6
+Éderson,br BRA,MF,Atalanta,24-076,1999,4.0,3.0,315.0,1.0,1.0,0.0,0.0,0.0,0.0,0.29,0.29,0.57,0.29,0.57,0.4,0.4,0.1,0.1,3.5,2.0,0.0,40.0,0.57,0.2,0.5,0.07,0.6,0.6,162.0,195.0,83.1,2965.0,1042.0,62.0,70.0,88.6,83.0,90.0,92.2,15.0,25.0,60.0,5.0,23.0,7.0,1.0,32.0,192.0,2.0,2.0,1.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,11.0,3.14,11.0,0.0,0.0,0.0,1.0,0.29,1.0,0.0,0.0,0.0,0.0,15.0,7.0,7.0,6.0,2.0,6.0,0.0,6.0,10.0,5.0,0.0,243.0,11.0,52.0,137.0,56.0,3.0,243.0,166.0,5.0,7.0,0.0,167.0,1.0,6.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,22.0,7.0,2.0,77.8
+Emmanuel Ekong,se SWE,FW,Empoli,21-088,2002,1.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,12.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,18.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,3.0,1.0,1.0,4.0,4.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Caleb Ekuban,gh GHA,"FW,DF",Genoa,29-182,1994,3.0,0.0,69.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.11,0.11,0.8,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,8.0,15.0,53.3,157.0,79.0,3.0,8.0,37.5,3.0,3.0,100.0,2.0,2.0,100.0,2.0,2.0,1.0,0.0,3.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,5.14,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,28.0,0.0,2.0,13.0,15.0,3.0,28.0,16.0,0.0,1.0,1.0,17.0,4.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,66.7
+Elif Elmas,mk MKD,FW,Napoli,23-362,1999,3.0,1.0,67.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.03,0.7,1.0,0.0,100.0,1.34,0.0,0.0,0.02,0.0,0.0,40.0,42.0,95.2,519.0,88.0,29.0,30.0,96.7,9.0,9.0,100.0,1.0,1.0,100.0,2.0,1.0,0.0,0.0,3.0,40.0,2.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,3.0,4.09,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,2.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,52.0,1.0,4.0,25.0,23.0,4.0,52.0,31.0,2.0,3.0,1.0,40.0,2.0,1.0,0.0,3.0,3.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0
+Martin Erlic,hr CRO,DF,Sassuolo,25-240,1998,4.0,4.0,360.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,118.0,144.0,81.9,2230.0,988.0,53.0,57.0,93.0,50.0,63.0,79.4,14.0,23.0,60.9,0.0,5.0,0.0,0.0,9.0,137.0,7.0,7.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.25,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,4.0,10.0,0.0,0.0,7.0,4.0,3.0,5.0,13.0,0.0,183.0,33.0,114.0,66.0,3.0,2.0,183.0,73.0,1.0,1.0,1.0,96.0,1.0,0.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,17.0,7.0,2.0,77.8
+Giovanni Fabbian,it ITA,"MF,FW",Bologna,20-250,2003,3.0,0.0,19.0,1.0,0.0,0.0,0.0,0.0,0.0,4.74,0.0,4.74,4.74,4.74,0.8,0.8,4.02,4.02,0.2,1.0,0.0,50.0,4.74,0.5,1.0,0.42,0.2,0.2,3.0,5.0,60.0,22.0,2.0,3.0,5.0,60.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,0.0,3.0,3.0,4.0,3.0,10.0,9.0,0.0,0.0,0.0,7.0,2.0,1.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Nicolò Fagioli,it ITA,MF,Juventus,22-221,2001,3.0,1.0,142.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.14,0.14,1.6,1.0,1.0,25.0,0.63,0.0,0.0,0.06,-0.2,-0.2,55.0,62.0,88.7,974.0,282.0,27.0,27.0,100.0,20.0,22.0,90.9,7.0,11.0,63.6,2.0,7.0,4.0,1.0,9.0,56.0,6.0,0.0,0.0,1.0,6.0,4.0,0.0,3.0,0.0,2.0,0.0,0.0,6.0,3.8,4.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,2.0,0.0,1.0,0.0,1.0,2.0,0.0,0.0,81.0,0.0,8.0,37.0,36.0,2.0,81.0,47.0,3.0,1.0,1.0,55.0,5.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
+Wladimiro Falcone,it ITA,GK,Lecce,28-162,1995,4.0,4.0,360.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,86.0,121.0,71.1,2082.0,1671.0,29.0,29.0,100.0,28.0,29.0,96.6,22.0,55.0,40.0,0.0,0.0,0.0,0.0,0.0,73.0,47.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,129.0,121.0,129.0,0.0,0.0,0.0,129.0,67.0,0.0,0.0,0.0,50.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Davide Faraoni,it ITA,DF,Hellas Verona,31-331,1991,3.0,2.0,174.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.52,0.52,0.0,0.52,0.1,0.1,0.03,0.03,1.9,1.0,0.0,50.0,0.52,0.0,0.0,0.03,-0.1,-0.1,63.0,92.0,68.5,1181.0,421.0,28.0,33.0,84.8,20.0,28.0,71.4,12.0,20.0,60.0,2.0,5.0,1.0,1.0,7.0,71.0,18.0,2.0,1.0,2.0,6.0,1.0,0.0,0.0,0.0,15.0,3.0,3.0,5.0,2.59,4.0,0.0,0.0,1.0,1.0,0.52,1.0,0.0,0.0,0.0,0.0,5.0,5.0,2.0,2.0,1.0,3.0,2.0,1.0,1.0,10.0,0.0,123.0,8.0,28.0,65.0,32.0,3.0,123.0,59.0,6.0,2.0,0.0,62.0,6.0,0.0,0.0,6.0,1.0,0.0,0.0,0.0,0.0,18.0,5.0,2.0,71.4
+Federico Fazio,ar ARG,DF,Salernitana,36-188,1987,2.0,1.0,113.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.09,0.09,1.3,1.0,0.0,100.0,0.8,0.0,0.0,0.11,-0.1,-0.1,57.0,74.0,77.0,987.0,422.0,27.0,29.0,93.1,23.0,31.0,74.2,5.0,10.0,50.0,0.0,4.0,0.0,0.0,2.0,71.0,3.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.59,2.0,0.0,0.0,0.0,1.0,0.8,1.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,2.0,3.0,0.0,83.0,4.0,39.0,40.0,4.0,2.0,83.0,60.0,0.0,0.0,0.0,55.0,1.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,10.0,6.0,1.0,85.7
+Jacopo Fazzini,it ITA,MF,Empoli,20-189,2003,3.0,2.0,150.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.1,0.1,1.7,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.2,-0.2,67.0,79.0,84.8,1091.0,308.0,31.0,33.0,93.9,28.0,30.0,93.3,5.0,13.0,38.5,5.0,5.0,0.0,0.0,9.0,69.0,10.0,3.0,0.0,0.0,7.0,6.0,2.0,3.0,0.0,1.0,0.0,0.0,7.0,4.2,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,2.0,2.0,0.0,2.0,0.0,2.0,2.0,0.0,0.0,102.0,2.0,18.0,57.0,29.0,2.0,102.0,56.0,1.0,2.0,0.0,60.0,1.0,5.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,11.0,0.0,4.0,0.0
+Lewis Ferguson,sct SCO,MF,Bologna,24-028,1999,4.0,4.0,356.0,1.0,0.0,0.0,0.0,1.0,0.0,0.25,0.0,0.25,0.25,0.25,0.5,0.5,0.13,0.13,4.0,2.0,0.0,20.0,0.51,0.1,0.5,0.05,0.5,0.5,209.0,238.0,87.8,2792.0,572.0,125.0,137.0,91.2,67.0,74.0,90.5,3.0,5.0,60.0,3.0,13.0,4.0,0.0,16.0,237.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,10.0,2.53,10.0,0.0,0.0,0.0,1.0,0.25,1.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,1.0,1.0,2.0,0.0,2.0,0.0,2.0,0.0,267.0,6.0,34.0,157.0,77.0,14.0,267.0,162.0,6.0,2.0,2.0,219.0,3.0,1.0,0.0,7.0,5.0,1.0,0.0,0.0,0.0,19.0,3.0,9.0,25.0
+João Ferreira,pt POR,DF,Udinese,22-183,2001,4.0,2.0,188.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,2.1,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,60.0,73.0,82.2,1009.0,337.0,31.0,34.0,91.2,21.0,24.0,87.5,5.0,10.0,50.0,1.0,3.0,1.0,1.0,2.0,59.0,14.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,14.0,0.0,1.0,3.0,1.44,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,4.0,1.0,1.0,2.0,0.0,2.0,3.0,2.0,0.0,95.0,4.0,25.0,39.0,31.0,1.0,95.0,54.0,2.0,3.0,0.0,49.0,5.0,3.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0
+Alessandro Florenzi,it ITA,DF,Milan,32-194,1991,2.0,0.0,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,16.0,100.0,321.0,57.0,5.0,5.0,100.0,9.0,9.0,100.0,2.0,2.0,100.0,1.0,1.0,0.0,0.0,0.0,11.0,5.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,1.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,18.0,0.0,5.0,10.0,3.0,1.0,18.0,10.0,0.0,0.0,0.0,11.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Michael Folorunsho,ng NGA,"MF,FW",Hellas Verona,25-226,1998,4.0,4.0,314.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,3.5,1.0,0.0,50.0,0.29,0.0,0.0,0.03,-0.1,-0.1,45.0,71.0,63.4,765.0,148.0,21.0,25.0,84.0,17.0,28.0,60.7,5.0,9.0,55.6,2.0,1.0,1.0,0.0,6.0,69.0,1.0,0.0,1.0,2.0,5.0,0.0,0.0,0.0,0.0,1.0,1.0,2.0,4.0,1.15,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,1.0,1.0,1.0,5.0,0.0,5.0,0.0,7.0,0.0,109.0,7.0,12.0,66.0,34.0,3.0,109.0,66.0,4.0,6.0,0.0,65.0,7.0,3.0,0.0,6.0,11.0,2.0,0.0,0.0,0.0,16.0,6.0,15.0,28.6
+Davide Frattesi,it ITA,"MF,FW",Inter,23-334,1999,4.0,0.0,90.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0.6,0.6,0.65,0.65,1.0,1.0,0.0,50.0,1.0,0.5,1.0,0.32,0.4,0.4,23.0,25.0,92.0,341.0,90.0,10.0,10.0,100.0,10.0,11.0,90.9,1.0,1.0,100.0,0.0,1.0,1.0,0.0,4.0,23.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,3.0,0.0,34.0,3.0,9.0,16.0,9.0,2.0,34.0,24.0,4.0,2.0,1.0,24.0,0.0,3.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,4.0,2.0,1.0,66.7
+Morten Frendrup,dk DEN,MF,Genoa,22-167,2001,4.0,4.0,360.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.25,0.25,0.0,0.25,0.1,0.1,0.02,0.02,4.0,1.0,0.0,50.0,0.25,0.0,0.0,0.04,-0.1,-0.1,78.0,108.0,72.2,1151.0,261.0,44.0,55.0,80.0,27.0,35.0,77.1,3.0,6.0,50.0,1.0,9.0,2.0,0.0,13.0,106.0,2.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,0.75,2.0,0.0,1.0,0.0,2.0,0.5,1.0,0.0,1.0,0.0,0.0,13.0,9.0,5.0,7.0,1.0,5.0,1.0,4.0,5.0,4.0,0.0,151.0,7.0,43.0,81.0,30.0,4.0,151.0,61.0,1.0,1.0,0.0,64.0,5.0,1.0,0.0,7.0,5.0,1.0,0.0,0.0,0.0,24.0,2.0,3.0,40.0
+Remo Freuler,ch SUI,MF,Bologna,31-159,1992,1.0,1.0,79.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,42.0,46.0,91.3,665.0,203.0,20.0,23.0,87.0,18.0,19.0,94.7,2.0,2.0,100.0,0.0,3.0,0.0,0.0,3.0,44.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,1.14,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,2.0,1.0,0.0,2.0,1.0,1.0,1.0,2.0,1.0,58.0,3.0,22.0,27.0,9.0,2.0,58.0,32.0,0.0,0.0,0.0,42.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0
+Roberto Gagliardini,it ITA,MF,Monza,29-167,1994,4.0,4.0,315.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.16,0.16,3.5,2.0,0.0,20.0,0.57,0.0,0.0,0.05,-0.5,-0.5,199.0,219.0,90.9,3550.0,749.0,85.0,88.0,96.6,100.0,110.0,90.9,11.0,15.0,73.3,2.0,18.0,1.0,0.0,18.0,213.0,6.0,3.0,0.0,2.0,2.0,1.0,0.0,0.0,0.0,2.0,0.0,2.0,10.0,2.86,9.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,10.0,9.0,7.0,1.0,3.0,1.0,2.0,4.0,4.0,0.0,272.0,12.0,54.0,146.0,74.0,7.0,272.0,173.0,10.0,8.0,1.0,201.0,2.0,6.0,0.0,1.0,8.0,0.0,0.0,0.0,0.0,20.0,7.0,2.0,77.8
+Antonino Gallo,it ITA,DF,Lecce,23-259,2000,4.0,3.0,220.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.41,0.41,0.0,0.41,0.0,0.0,0.0,0.0,2.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,90.0,119.0,75.6,1563.0,607.0,42.0,49.0,85.7,40.0,49.0,81.6,6.0,15.0,40.0,3.0,11.0,6.0,3.0,20.0,93.0,26.0,7.0,0.0,1.0,7.0,1.0,0.0,0.0,0.0,18.0,0.0,4.0,5.0,2.05,5.0,0.0,0.0,0.0,2.0,0.82,2.0,0.0,0.0,0.0,0.0,4.0,2.0,2.0,2.0,0.0,4.0,0.0,4.0,1.0,8.0,0.0,144.0,8.0,40.0,68.0,37.0,1.0,144.0,76.0,2.0,2.0,1.0,81.0,2.0,0.0,0.0,2.0,2.0,1.0,0.0,0.0,0.0,7.0,3.0,0.0,100.0
+Luca Garritano,it ITA,"FW,MF",Frosinone,29-222,1994,3.0,0.0,54.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.59,0.59,0.6,1.0,0.0,20.0,1.67,0.0,0.0,0.07,-0.4,-0.4,9.0,17.0,52.9,151.0,53.0,5.0,7.0,71.4,3.0,6.0,50.0,1.0,4.0,25.0,1.0,2.0,0.0,0.0,1.0,15.0,2.0,0.0,0.0,0.0,4.0,2.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,3.33,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,4.0,0.0,4.0,0.0,0.0,0.0,28.0,2.0,10.0,8.0,11.0,3.0,28.0,15.0,1.0,0.0,0.0,11.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0
+Federico Gatti,it ITA,DF,Juventus,25-089,1998,2.0,2.0,180.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,52.0,59.0,88.1,881.0,335.0,24.0,24.0,100.0,21.0,24.0,87.5,6.0,10.0,60.0,1.0,3.0,0.0,0.0,5.0,57.0,2.0,2.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,1.0,2.0,2.0,0.0,1.0,7.0,0.0,82.0,9.0,40.0,33.0,10.0,6.0,82.0,45.0,1.0,2.0,0.0,51.0,2.0,1.0,0.0,1.0,5.0,0.0,1.0,0.0,0.0,8.0,2.0,1.0,66.7
+Francesco Gelli,it ITA,"FW,MF",Frosinone,26-341,1996,4.0,4.0,352.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.04,0.04,3.9,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.2,-0.2,129.0,154.0,83.8,1718.0,454.0,84.0,89.0,94.4,32.0,37.0,86.5,5.0,13.0,38.5,2.0,6.0,7.0,1.0,13.0,137.0,17.0,4.0,0.0,0.0,11.0,11.0,4.0,2.0,0.0,0.0,0.0,5.0,6.0,1.53,4.0,1.0,1.0,0.0,1.0,0.26,0.0,1.0,0.0,0.0,0.0,4.0,2.0,2.0,1.0,1.0,4.0,2.0,2.0,4.0,2.0,0.0,198.0,3.0,46.0,83.0,73.0,6.0,198.0,126.0,6.0,3.0,1.0,142.0,15.0,4.0,0.0,6.0,5.0,0.0,0.0,0.0,0.0,17.0,3.0,3.0,50.0
+Valentin Gendrey,fr FRA,DF,Lecce,23-092,2000,4.0,4.0,334.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.27,0.27,0.0,0.27,0.1,0.1,0.02,0.02,3.7,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.1,-0.1,120.0,156.0,76.9,1907.0,995.0,70.0,79.0,88.6,43.0,53.0,81.1,7.0,18.0,38.9,3.0,12.0,1.0,1.0,14.0,114.0,42.0,4.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,38.0,0.0,5.0,5.0,1.35,5.0,0.0,0.0,0.0,1.0,0.27,1.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,2.0,0.0,10.0,0.0,10.0,6.0,12.0,0.0,194.0,13.0,66.0,89.0,40.0,2.0,194.0,92.0,5.0,5.0,0.0,79.0,2.0,2.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,22.0,7.0,4.0,63.6
+Gvidas Gineitis,lt LTU,MF,Torino,19-159,2004,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,7.0,100.0,100.0,8.0,6.0,6.0,100.0,0.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,11.0,0.0,2.0,6.0,3.0,0.0,11.0,5.0,0.0,0.0,0.0,7.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Olivier Giroud,fr FRA,FW,Milan,36-356,1986,4.0,4.0,282.0,4.0,2.0,3.0,3.0,0.0,0.0,1.28,0.64,1.91,0.32,0.96,2.8,0.5,0.91,0.15,3.1,2.0,1.0,50.0,0.64,0.25,0.5,0.12,1.2,0.5,42.0,62.0,67.7,514.0,91.0,24.0,32.0,75.0,11.0,16.0,68.8,0.0,0.0,0.0,8.0,5.0,2.0,0.0,5.0,54.0,7.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,7.0,2.23,7.0,0.0,0.0,0.0,2.0,0.64,2.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,2.0,0.0,2.0,0.0,1.0,0.0,79.0,2.0,5.0,44.0,30.0,9.0,76.0,41.0,0.0,1.0,1.0,58.0,4.0,2.0,0.0,3.0,5.0,3.0,0.0,0.0,0.0,1.0,3.0,3.0,50.0
+Edoardo Goldaniga,it ITA,DF,Cagliari,29-323,1993,1.0,1.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,17.0,82.4,227.0,94.0,7.0,7.0,100.0,6.0,7.0,85.7,1.0,3.0,33.3,0.0,1.0,1.0,0.0,1.0,17.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,2.0,1.0,0.0,0.0,0.0,0.0,1.0,2.0,0.0,22.0,2.0,9.0,11.0,2.0,0.0,22.0,9.0,0.0,0.0,0.0,12.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0
+Joan Gonzàlez,es ESP,MF,Lecce,21-232,2002,3.0,2.0,156.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,1.7,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,36.0,45.0,80.0,618.0,149.0,20.0,25.0,80.0,11.0,14.0,78.6,5.0,5.0,100.0,2.0,4.0,1.0,0.0,6.0,44.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,3.46,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,2.0,0.0,2.0,0.0,1.0,0.0,62.0,1.0,7.0,38.0,18.0,1.0,62.0,41.0,4.0,1.0,0.0,41.0,1.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,7.0,3.0,4.0,42.9
+Nicolás González,ar ARG,FW,Fiorentina,25-168,1998,4.0,4.0,277.0,2.0,1.0,0.0,0.0,0.0,0.0,0.65,0.32,0.97,0.65,0.97,0.7,0.7,0.22,0.22,3.1,3.0,0.0,37.5,0.97,0.25,0.67,0.08,1.3,1.3,79.0,112.0,70.5,1500.0,326.0,36.0,50.0,72.0,32.0,42.0,76.2,11.0,13.0,84.6,2.0,6.0,3.0,0.0,12.0,109.0,3.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,5.0,1.62,3.0,0.0,2.0,0.0,2.0,0.65,1.0,0.0,1.0,0.0,0.0,4.0,2.0,4.0,0.0,0.0,3.0,0.0,3.0,1.0,1.0,0.0,154.0,5.0,20.0,76.0,62.0,18.0,154.0,109.0,9.0,9.0,3.0,122.0,8.0,3.0,0.0,2.0,6.0,0.0,0.0,0.0,0.0,9.0,9.0,4.0,69.2
+Alberto Grassi,it ITA,MF,Empoli,28-198,1995,3.0,2.0,205.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,2.3,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,100.0,120.0,83.3,1717.0,618.0,42.0,46.0,91.3,48.0,57.0,84.2,6.0,11.0,54.5,1.0,14.0,0.0,0.0,9.0,113.0,7.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,3.0,1.32,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,2.0,0.0,2.0,0.0,2.0,4.0,2.0,0.0,143.0,6.0,25.0,104.0,15.0,2.0,143.0,85.0,2.0,1.0,0.0,94.0,4.0,0.0,0.0,4.0,6.0,0.0,0.0,0.0,1.0,13.0,5.0,4.0,55.6
+Mattéo Guendouzi,fr FRA,MF,Lazio,24-160,1999,2.0,0.0,39.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.26,0.26,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.11,-0.1,-0.1,12.0,17.0,70.6,140.0,13.0,8.0,9.0,88.9,2.0,2.0,100.0,0.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,16.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,0.0,2.0,11.0,7.0,1.0,20.0,14.0,2.0,1.0,0.0,19.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,0.0
+Axel Guessand,fr FRA,DF,Udinese,18-319,2004,1.0,0.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,21.0,27.0,77.8,471.0,141.0,5.0,7.0,71.4,14.0,16.0,87.5,2.0,4.0,50.0,0.0,3.0,0.0,0.0,1.0,27.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,33.0,1.0,10.0,22.0,1.0,1.0,33.0,21.0,1.0,0.0,0.0,25.0,3.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,50.0
+Albert Guðmundsson,is ISL,"MF,FW",Genoa,26-098,1997,4.0,4.0,359.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,83.0,114.0,72.8,1455.0,430.0,38.0,42.0,90.5,33.0,40.0,82.5,9.0,18.0,50.0,8.0,8.0,5.0,4.0,12.0,97.0,15.0,7.0,0.0,0.0,15.0,6.0,0.0,5.0,0.0,0.0,2.0,7.0,10.0,2.51,6.0,4.0,0.0,0.0,1.0,0.25,0.0,1.0,0.0,0.0,0.0,4.0,2.0,2.0,1.0,1.0,3.0,0.0,3.0,4.0,1.0,0.0,152.0,3.0,25.0,74.0,61.0,6.0,152.0,95.0,14.0,10.0,1.0,101.0,5.0,5.0,0.0,5.0,5.0,1.0,0.0,0.0,0.0,18.0,1.0,3.0,25.0
+Emmanuel Gyasi,gh GHA,FW,Empoli,29-253,1994,3.0,2.0,146.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.22,0.22,1.6,0.0,0.0,0.0,0.0,0.0,0.0,0.18,-0.4,-0.4,21.0,28.0,75.0,256.0,35.0,15.0,18.0,83.3,4.0,6.0,66.7,0.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,28.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,1.23,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,43.0,2.0,6.0,15.0,22.0,4.0,43.0,31.0,3.0,4.0,0.0,36.0,2.0,4.0,0.0,4.0,5.0,2.0,0.0,0.0,0.0,5.0,0.0,4.0,0.0
+Norbert Gyömbér,sk SVK,DF,Salernitana,31-080,1992,4.0,4.0,315.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,122.0,142.0,85.9,2127.0,835.0,46.0,50.0,92.0,66.0,72.0,91.7,8.0,16.0,50.0,0.0,3.0,0.0,0.0,5.0,134.0,8.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.29,1.0,0.0,0.0,0.0,1.0,0.29,1.0,0.0,0.0,0.0,0.0,5.0,4.0,4.0,1.0,0.0,11.0,9.0,2.0,7.0,15.0,0.0,186.0,30.0,109.0,73.0,5.0,2.0,186.0,85.0,0.0,0.0,0.0,88.0,2.0,0.0,0.0,11.0,3.0,0.0,0.0,0.0,0.0,24.0,4.0,6.0,40.0
+Nicolas Haas,ch SUI,MF,Empoli,27-241,1996,1.0,1.0,90.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.1,0.1,1.0,1.0,0.0,100.0,1.0,0.0,0.0,0.1,-0.1,-0.1,46.0,51.0,90.2,865.0,312.0,20.0,21.0,95.2,21.0,21.0,100.0,5.0,6.0,83.3,0.0,7.0,1.0,0.0,6.0,50.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,3.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,1.0,2.0,2.0,1.0,0.0,1.0,1.0,1.0,0.0,63.0,4.0,15.0,36.0,12.0,1.0,63.0,35.0,0.0,1.0,0.0,41.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,9.0,3.0,0.0,100.0
+Abdou Harroui,nl NED,MF,Frosinone,25-251,1998,3.0,3.0,255.0,2.0,0.0,1.0,1.0,0.0,0.0,0.71,0.0,0.71,0.35,0.35,1.5,0.7,0.53,0.25,2.8,2.0,0.0,28.6,0.71,0.14,0.5,0.1,0.5,0.3,78.0,90.0,86.7,1088.0,239.0,46.0,49.0,93.9,22.0,27.0,81.5,4.0,5.0,80.0,3.0,5.0,2.0,0.0,8.0,82.0,6.0,1.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,10.0,3.53,8.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,5.0,1.0,5.0,0.0,4.0,0.0,4.0,2.0,0.0,0.0,130.0,1.0,19.0,68.0,46.0,11.0,129.0,70.0,9.0,7.0,2.0,82.0,6.0,2.0,0.0,3.0,3.0,1.0,0.0,0.0,0.0,16.0,2.0,3.0,40.0
+Pantelis Hatzidiakos,gr GRE,DF,Cagliari,26-246,1997,1.0,1.0,79.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,20.0,65.0,236.0,65.0,7.0,8.0,87.5,4.0,5.0,80.0,2.0,6.0,33.3,0.0,0.0,0.0,0.0,1.0,19.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,2.0,0.0,25.0,2.0,12.0,12.0,1.0,1.0,25.0,18.0,0.0,0.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,3.0,25.0
+Silvan Hefti,ch SUI,"DF,MF",Genoa,25-331,1997,3.0,1.0,84.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,27.0,59.3,194.0,105.0,12.0,16.0,75.0,3.0,6.0,50.0,0.0,2.0,0.0,0.0,1.0,0.0,0.0,1.0,21.0,6.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,2.0,0.0,2.0,0.0,2.0,0.0,1.0,0.0,38.0,3.0,17.0,15.0,6.0,0.0,38.0,9.0,0.0,0.0,0.0,14.0,1.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,100.0
+Liam Henderson,sct SCO,MF,Empoli,27-149,1996,1.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,5.0,40.0,40.0,0.0,1.0,2.0,50.0,1.0,1.0,100.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,4.0,1.0,0.0,5.0,3.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Matheus Henrique,br BRA,MF,Sassuolo,25-276,1997,4.0,4.0,360.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.05,0.05,4.0,1.0,0.0,33.3,0.25,0.0,0.0,0.07,-0.2,-0.2,144.0,166.0,86.7,2575.0,901.0,59.0,68.0,86.8,60.0,64.0,93.8,16.0,22.0,72.7,5.0,16.0,2.0,0.0,18.0,161.0,5.0,3.0,1.0,6.0,2.0,1.0,1.0,0.0,0.0,1.0,0.0,2.0,11.0,2.75,10.0,1.0,0.0,0.0,1.0,0.25,1.0,0.0,0.0,0.0,0.0,8.0,5.0,4.0,4.0,0.0,1.0,0.0,1.0,3.0,4.0,1.0,190.0,10.0,48.0,97.0,46.0,2.0,190.0,110.0,5.0,4.0,0.0,140.0,3.0,3.0,0.0,1.0,5.0,0.0,0.0,0.0,0.0,17.0,2.0,0.0,100.0
+Theo Hernández,fr FRA,DF,Milan,25-350,1997,4.0,4.0,356.0,1.0,0.0,0.0,0.0,3.0,0.0,0.25,0.0,0.25,0.25,0.25,0.5,0.5,0.13,0.13,4.0,1.0,0.0,20.0,0.25,0.2,1.0,0.1,0.5,0.5,241.0,292.0,82.5,3624.0,963.0,125.0,138.0,90.6,99.0,106.0,93.4,10.0,23.0,43.5,1.0,15.0,5.0,1.0,18.0,257.0,33.0,16.0,0.0,2.0,6.0,0.0,0.0,0.0,0.0,17.0,2.0,10.0,9.0,2.28,6.0,0.0,1.0,0.0,2.0,0.51,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,3.0,3.0,0.0,318.0,6.0,78.0,188.0,56.0,7.0,318.0,228.0,13.0,12.0,2.0,236.0,3.0,1.0,0.0,5.0,4.0,0.0,0.0,1.0,0.0,24.0,3.0,0.0,100.0
+Isak Hien,se SWE,DF,Hellas Verona,24-251,1999,2.0,2.0,173.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,63.0,68.0,92.6,1358.0,526.0,17.0,19.0,89.5,38.0,39.0,97.4,7.0,9.0,77.8,0.0,5.0,0.0,0.0,5.0,65.0,3.0,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,3.0,3.0,0.0,1.0,0.0,1.0,1.0,7.0,0.0,88.0,9.0,38.0,50.0,4.0,0.0,88.0,51.0,5.0,3.0,0.0,43.0,0.0,1.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,17.0,0.0,2.0,0.0
+Emil Holm,se SWE,DF,Atalanta,23-131,2000,1.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.82,0.82,0.2,1.0,0.0,50.0,5.63,0.0,0.0,0.07,-0.1,-0.1,6.0,6.0,100.0,121.0,78.0,2.0,2.0,100.0,3.0,3.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,2.0,12.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,11.0,1.0,4.0,5.0,2.0,2.0,11.0,5.0,0.0,0.0,0.0,6.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,0.0,100.0
+Martin Hongla,cm CMR,MF,Hellas Verona,25-189,1998,4.0,4.0,305.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,3.4,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,68.0,91.0,74.7,1341.0,357.0,24.0,32.0,75.0,32.0,35.0,91.4,11.0,22.0,50.0,0.0,7.0,0.0,0.0,12.0,84.0,6.0,5.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,4.0,1.18,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,4.0,3.0,4.0,0.0,2.0,2.0,0.0,2.0,6.0,0.0,114.0,9.0,28.0,78.0,9.0,0.0,114.0,69.0,2.0,2.0,0.0,63.0,1.0,1.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,18.0,1.0,1.0,50.0
+Sydney van Hooijdonk,nl NED,FW,Bologna,23-227,2000,1.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,50.0,14.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Elseid Hysaj,al ALB,DF,Lazio,29-213,1994,2.0,2.0,125.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,62.0,70.0,88.6,882.0,303.0,33.0,37.0,89.2,22.0,24.0,91.7,1.0,2.0,50.0,0.0,4.0,0.0,0.0,4.0,67.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,4.0,0.0,4.0,2.0,8.0,0.0,86.0,8.0,39.0,39.0,8.0,0.0,86.0,45.0,1.0,0.0,0.0,57.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,8.0,3.0,1.0,75.0
+Chukwubuikem Ikwuemesi,ng NGA,"FW,DF",Salernitana,22-047,2001,3.0,0.0,81.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.18,0.18,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.2,-0.2,13.0,17.0,76.5,170.0,39.0,7.0,10.0,70.0,5.0,5.0,100.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,3.0,15.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.11,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,30.0,1.0,1.0,16.0,13.0,9.0,30.0,18.0,2.0,1.0,1.0,25.0,3.0,1.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,3.0,4.0,42.9
+Ivan Ilić,rs SRB,MF,Torino,22-188,2001,3.0,2.0,151.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.6,0.6,0.0,0.6,0.0,0.0,0.0,0.0,1.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,87.0,104.0,83.7,1573.0,459.0,40.0,45.0,88.9,36.0,41.0,87.8,10.0,14.0,71.4,4.0,7.0,3.0,0.0,10.0,89.0,13.0,8.0,0.0,1.0,7.0,5.0,5.0,0.0,0.0,0.0,2.0,1.0,6.0,3.58,4.0,2.0,0.0,0.0,1.0,0.6,1.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,111.0,2.0,10.0,79.0,25.0,1.0,111.0,58.0,5.0,4.0,0.0,78.0,1.0,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,9.0,2.0,0.0,100.0
+Samuel Iling-Junior,eng ENG,DF,Juventus,19-352,2003,2.0,0.0,46.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.96,1.96,0.0,1.96,0.1,0.1,0.21,0.21,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.11,-0.1,-0.1,16.0,24.0,66.7,211.0,48.0,12.0,13.0,92.3,3.0,5.0,60.0,1.0,3.0,33.3,1.0,0.0,1.0,1.0,2.0,20.0,4.0,0.0,0.0,0.0,4.0,2.0,2.0,0.0,0.0,2.0,0.0,4.0,2.0,3.91,2.0,0.0,0.0,0.0,1.0,1.96,1.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,1.0,0.0,3.0,1.0,2.0,0.0,0.0,0.0,36.0,1.0,12.0,8.0,16.0,1.0,36.0,14.0,4.0,1.0,0.0,21.0,2.0,0.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,2.0,1.0,1.0,50.0
+Ciro Immobile,it ITA,FW,Lazio,33-213,1990,4.0,4.0,337.0,1.0,0.0,0.0,0.0,1.0,0.0,0.27,0.0,0.27,0.27,0.27,1.2,1.2,0.33,0.33,3.7,3.0,0.0,50.0,0.8,0.17,0.33,0.2,-0.2,-0.2,80.0,107.0,74.8,1074.0,180.0,41.0,56.0,73.2,28.0,35.0,80.0,3.0,5.0,60.0,4.0,4.0,4.0,0.0,9.0,99.0,8.0,0.0,2.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,5.0,1.34,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,141.0,1.0,9.0,63.0,71.0,20.0,141.0,66.0,1.0,3.0,1.0,107.0,11.0,3.0,0.0,3.0,5.0,1.0,0.0,0.0,0.0,5.0,0.0,2.0,0.0
+Gino Infantino,ar ARG,MF,Fiorentina,20-125,2003,3.0,0.0,47.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.04,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,25.0,31.0,80.6,443.0,83.0,13.0,15.0,86.7,9.0,11.0,81.8,3.0,3.0,100.0,0.0,3.0,0.0,0.0,5.0,28.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,3.75,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,36.0,0.0,1.0,24.0,11.0,1.0,36.0,31.0,0.0,1.0,0.0,29.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,3.0,25.0
+Gustav Isaksen,dk DEN,FW,Lazio,22-155,2001,3.0,0.0,63.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,23.0,56.5,211.0,26.0,5.0,8.0,62.5,8.0,9.0,88.9,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,23.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,31.0,2.0,5.0,9.0,18.0,6.0,31.0,19.0,2.0,2.0,2.0,21.0,1.0,2.0,0.0,1.0,2.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Ardian Ismajli,al ALB,DF,Empoli,26-356,1996,3.0,2.0,225.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,2.5,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,82.0,109.0,75.2,1572.0,670.0,26.0,32.0,81.3,51.0,55.0,92.7,5.0,18.0,27.8,0.0,4.0,0.0,0.0,4.0,100.0,9.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,3.0,0.0,8.0,1.0,128.0,14.0,79.0,49.0,1.0,1.0,128.0,52.0,0.0,0.0,0.0,62.0,0.0,0.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,12.0,10.0,6.0,62.5
+Armando Izzo,it ITA,DF,Monza,31-203,1992,3.0,3.0,250.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,176.0,198.0,88.9,3076.0,849.0,75.0,79.0,94.9,86.0,94.0,91.5,13.0,21.0,61.9,1.0,9.0,1.0,0.0,13.0,186.0,12.0,8.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,3.0,1.08,3.0,0.0,0.0,0.0,1.0,0.36,1.0,0.0,0.0,0.0,0.0,7.0,5.0,4.0,3.0,0.0,4.0,2.0,2.0,4.0,4.0,1.0,222.0,20.0,97.0,102.0,24.0,3.0,222.0,128.0,5.0,3.0,0.0,161.0,4.0,0.0,0.0,8.0,3.0,0.0,0.0,0.0,0.0,28.0,0.0,3.0,0.0
+Filip Jagiełło,pl POL,MF,Genoa,26-044,1997,2.0,0.0,33.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,17.0,88.2,287.0,13.0,5.0,5.0,100.0,9.0,9.0,100.0,1.0,2.0,50.0,0.0,0.0,0.0,0.0,2.0,17.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,2.73,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,20.0,2.0,6.0,8.0,7.0,0.0,20.0,16.0,1.0,3.0,0.0,16.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
+Jakub Jankto,cz CZE,"MF,FW",Cagliari,27-245,1996,3.0,2.0,153.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.05,0.05,1.7,1.0,0.0,100.0,0.59,0.0,0.0,0.09,-0.1,-0.1,28.0,43.0,65.1,396.0,95.0,16.0,16.0,100.0,9.0,17.0,52.9,1.0,5.0,20.0,1.0,2.0,1.0,0.0,4.0,39.0,4.0,0.0,0.0,0.0,4.0,2.0,1.0,1.0,0.0,2.0,0.0,3.0,5.0,2.94,4.0,0.0,0.0,0.0,1.0,0.59,1.0,0.0,0.0,0.0,0.0,4.0,3.0,3.0,1.0,0.0,0.0,0.0,0.0,2.0,9.0,0.0,67.0,7.0,21.0,25.0,21.0,2.0,67.0,31.0,2.0,3.0,0.0,36.0,2.0,1.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,6.0,2.0,2.0,50.0
+Juan Jesus,br BRA,DF,Napoli,32-103,1991,4.0,4.0,359.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.08,0.08,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.31,-0.3,-0.3,299.0,319.0,93.7,5315.0,1777.0,114.0,117.0,97.4,163.0,169.0,96.4,18.0,28.0,64.3,2.0,4.0,0.0,0.0,12.0,309.0,9.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,0.75,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,5.0,8.0,1.0,1.0,3.0,2.0,1.0,4.0,9.0,0.0,349.0,18.0,150.0,190.0,9.0,3.0,349.0,238.0,1.0,1.0,0.0,259.0,1.0,0.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,26.0,6.0,5.0,54.5
+Luka Jović,rs SRB,FW,Milan,25-272,1997,1.0,0.0,14.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,5.0,80.0,71.0,1.0,1.0,2.0,50.0,3.0,3.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,4.0,1.0,0.0,5.0,2.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Mohamed Kaba,fr FRA,MF,Lecce,21-329,2001,4.0,2.0,222.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,2.5,1.0,0.0,100.0,0.41,0.0,0.0,0.06,-0.1,-0.1,53.0,68.0,77.9,786.0,236.0,30.0,37.0,81.1,19.0,25.0,76.0,2.0,2.0,100.0,1.0,3.0,0.0,0.0,7.0,66.0,2.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.41,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,3.0,2.0,1.0,4.0,0.0,4.0,2.0,3.0,0.0,99.0,5.0,21.0,50.0,28.0,3.0,99.0,50.0,3.0,0.0,1.0,60.0,10.0,3.0,0.0,7.0,4.0,0.0,0.0,0.0,0.0,12.0,10.0,6.0,62.5
+Christian Kabasele,be BEL,DF,Udinese,32-209,1991,4.0,4.0,307.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,3.4,1.0,0.0,50.0,0.29,0.0,0.0,0.07,-0.1,-0.1,136.0,166.0,81.9,2431.0,765.0,52.0,60.0,86.7,68.0,78.0,87.2,11.0,19.0,57.9,0.0,14.0,0.0,0.0,12.0,148.0,18.0,5.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,2.0,0.59,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,1.0,2.0,0.0,7.0,3.0,4.0,4.0,8.0,0.0,193.0,25.0,81.0,102.0,11.0,2.0,193.0,107.0,4.0,2.0,0.0,117.0,3.0,0.0,0.0,8.0,2.0,0.0,0.0,0.0,0.0,14.0,10.0,2.0,83.3
+Pierre Kalulu,fr FRA,DF,Milan,23-108,2000,2.0,0.0,44.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,15.0,80.0,253.0,113.0,2.0,3.0,66.7,7.0,7.0,100.0,2.0,3.0,66.7,0.0,0.0,0.0,0.0,0.0,14.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,1.0,1.0,19.0,4.0,15.0,4.0,0.0,0.0,19.0,12.0,0.0,0.0,0.0,11.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,50.0
+Daichi Kamada,jp JPN,MF,Lazio,27-047,1996,4.0,4.0,260.0,1.0,1.0,0.0,0.0,0.0,0.0,0.35,0.35,0.69,0.35,0.69,0.4,0.4,0.14,0.14,2.9,2.0,0.0,28.6,0.69,0.14,0.5,0.06,0.6,0.6,110.0,134.0,82.1,1610.0,259.0,65.0,71.0,91.5,40.0,46.0,87.0,3.0,9.0,33.3,4.0,10.0,1.0,0.0,11.0,132.0,2.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,3.0,5.0,1.73,4.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,4.0,6.0,1.0,1.0,4.0,1.0,3.0,1.0,2.0,0.0,164.0,6.0,27.0,91.0,46.0,9.0,164.0,89.0,2.0,0.0,2.0,124.0,3.0,4.0,0.0,10.0,2.0,0.0,0.0,0.0,0.0,6.0,1.0,2.0,33.3
+Hassane Kamara,ci CIV,DF,Udinese,29-200,1994,4.0,4.0,276.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,3.1,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,94.0,120.0,78.3,1508.0,544.0,46.0,50.0,92.0,35.0,46.0,76.1,8.0,15.0,53.3,4.0,5.0,6.0,6.0,10.0,97.0,22.0,1.0,0.0,0.0,14.0,0.0,0.0,0.0,0.0,21.0,1.0,2.0,10.0,3.26,9.0,0.0,0.0,0.0,1.0,0.33,1.0,0.0,0.0,0.0,0.0,5.0,4.0,3.0,2.0,0.0,1.0,0.0,1.0,6.0,4.0,0.0,156.0,8.0,38.0,59.0,61.0,5.0,156.0,84.0,7.0,4.0,1.0,89.0,4.0,4.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,17.0,3.0,3.0,50.0
+Yann Karamoh,fr FRA,MF,Torino,25-075,1998,3.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.04,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,20.0,27.0,74.1,293.0,66.0,12.0,16.0,75.0,7.0,8.0,87.5,1.0,2.0,50.0,0.0,2.0,0.0,0.0,1.0,27.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,44.0,1.0,4.0,19.0,25.0,4.0,44.0,31.0,5.0,5.0,2.0,34.0,5.0,2.0,0.0,1.0,2.0,1.0,0.0,0.0,0.0,5.0,1.0,1.0,50.0
+Jesper Karlsson,se SWE,FW,Bologna,25-058,1998,3.0,2.0,175.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.21,0.21,1.9,4.0,1.0,80.0,2.06,0.0,0.0,0.08,-0.4,-0.4,54.0,84.0,64.3,1025.0,220.0,23.0,32.0,71.9,21.0,29.0,72.4,8.0,16.0,50.0,3.0,7.0,4.0,1.0,10.0,73.0,10.0,3.0,0.0,0.0,11.0,6.0,3.0,1.0,0.0,1.0,1.0,3.0,8.0,4.11,6.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,96.0,1.0,12.0,36.0,49.0,6.0,96.0,66.0,4.0,1.0,4.0,69.0,1.0,5.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,11.0,0.0,2.0,0.0
+Rick Karsdorp,nl NED,"DF,FW",Roma,28-222,1995,2.0,0.0,66.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,34.0,43.0,79.1,600.0,223.0,15.0,16.0,93.8,13.0,16.0,81.3,4.0,7.0,57.1,1.0,1.0,2.0,1.0,2.0,35.0,8.0,1.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,3.0,4.09,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,46.0,2.0,14.0,14.0,19.0,1.0,46.0,28.0,3.0,2.0,0.0,29.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
+Grigoris Kastanos,cy CYP,"MF,DF",Salernitana,25-234,1998,4.0,3.0,246.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,2.7,2.0,0.0,50.0,0.73,0.0,0.0,0.03,-0.1,-0.1,81.0,110.0,73.6,1222.0,417.0,43.0,48.0,89.6,22.0,33.0,66.7,9.0,14.0,64.3,1.0,9.0,1.0,0.0,10.0,93.0,17.0,1.0,1.0,1.0,4.0,6.0,0.0,1.0,0.0,10.0,0.0,6.0,5.0,1.82,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,2.0,0.0,2.0,2.0,1.0,1.0,4.0,2.0,0.0,138.0,2.0,26.0,68.0,45.0,1.0,138.0,90.0,6.0,6.0,1.0,91.0,0.0,9.0,0.0,2.0,6.0,0.0,0.0,0.0,0.0,15.0,2.0,12.0,14.3
+Michael Kayode,it ITA,DF,Fiorentina,19-073,2004,1.0,1.0,81.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,57.0,69.0,82.6,986.0,297.0,33.0,35.0,94.3,17.0,19.0,89.5,7.0,9.0,77.8,0.0,1.0,1.0,0.0,3.0,59.0,10.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,10.0,0.0,5.0,1.0,1.11,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,83.0,7.0,42.0,31.0,12.0,4.0,83.0,43.0,5.0,3.0,2.0,50.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,4.0,1.0,80.0
+Moise Kean,it ITA,FW,Juventus,23-205,2000,2.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.56,0.56,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,2.0,3.0,66.7,51.0,21.0,1.0,1.0,100.0,0.0,0.0,0.0,1.0,1.0,100.0,1.0,1.0,0.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,11.25,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,2.0,4.0,1.0,6.0,4.0,2.0,0.0,1.0,4.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
+Simon Kjær,dk DEN,DF,Milan,34-179,1989,3.0,1.0,105.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,79.0,91.0,86.8,1553.0,697.0,25.0,26.0,96.2,47.0,50.0,94.0,6.0,13.0,46.2,0.0,6.0,0.0,0.0,11.0,88.0,3.0,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,3.0,1.0,1.0,2.0,1.0,1.0,0.0,5.0,0.0,103.0,7.0,36.0,66.0,2.0,0.0,103.0,80.0,2.0,1.0,0.0,76.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,3.0,1.0,75.0
+Sead Kolašinac,ba BIH,DF,Atalanta,30-093,1993,4.0,4.0,359.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,4.0,1.0,0.0,100.0,0.25,0.0,0.0,0.03,0.0,0.0,173.0,209.0,82.8,2588.0,812.0,94.0,106.0,88.7,71.0,79.0,89.9,5.0,14.0,35.7,1.0,13.0,1.0,0.0,17.0,197.0,10.0,4.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,6.0,2.0,5.0,5.0,1.25,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,4.0,2.0,0.0,3.0,0.0,3.0,3.0,4.0,0.0,227.0,7.0,85.0,101.0,41.0,2.0,227.0,148.0,7.0,9.0,1.0,150.0,1.0,1.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,29.0,5.0,8.0,38.5
+Teun Koopmeiners,nl NED,MF,Atalanta,25-205,1998,4.0,4.0,339.0,1.0,1.0,0.0,0.0,0.0,0.0,0.27,0.27,0.53,0.27,0.53,0.5,0.5,0.14,0.14,3.8,3.0,0.0,30.0,0.8,0.1,0.33,0.05,0.5,0.5,151.0,201.0,75.1,2840.0,1127.0,58.0,69.0,84.1,69.0,80.0,86.3,20.0,39.0,51.3,13.0,14.0,11.0,4.0,27.0,172.0,27.0,4.0,0.0,4.0,26.0,16.0,5.0,7.0,0.0,1.0,2.0,5.0,25.0,6.64,17.0,4.0,0.0,0.0,2.0,0.53,2.0,0.0,0.0,0.0,0.0,4.0,2.0,2.0,1.0,1.0,1.0,0.0,1.0,1.0,2.0,0.0,239.0,3.0,34.0,99.0,110.0,13.0,239.0,149.0,15.0,8.0,4.0,171.0,7.0,2.0,0.0,8.0,6.0,0.0,0.0,0.0,0.0,19.0,2.0,3.0,40.0
+Filip Kostić,rs SRB,DF,Juventus,30-324,1992,2.0,2.0,128.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,1.4,1.0,0.0,50.0,0.7,0.0,0.0,0.03,-0.1,-0.1,55.0,68.0,80.9,942.0,299.0,27.0,31.0,87.1,24.0,27.0,88.9,4.0,8.0,50.0,3.0,2.0,3.0,2.0,6.0,55.0,13.0,1.0,0.0,0.0,10.0,5.0,0.0,5.0,0.0,7.0,0.0,3.0,7.0,4.92,3.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,2.0,0.0,1.0,4.0,2.0,2.0,0.0,1.0,0.0,81.0,3.0,22.0,27.0,33.0,4.0,81.0,36.0,6.0,5.0,2.0,53.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0
+Christian Kouamé,ci CIV,"FW,MF",Fiorentina,25-289,1997,3.0,1.0,81.0,1.0,0.0,0.0,0.0,0.0,0.0,1.11,0.0,1.11,1.11,1.11,0.3,0.3,0.39,0.39,0.9,2.0,0.0,50.0,2.22,0.25,0.5,0.09,0.7,0.7,27.0,37.0,73.0,390.0,76.0,17.0,21.0,81.0,8.0,11.0,72.7,2.0,4.0,50.0,0.0,0.0,0.0,0.0,2.0,37.0,0.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,3.0,0.0,0.0,0.0,52.0,0.0,7.0,25.0,21.0,5.0,52.0,33.0,2.0,2.0,1.0,35.0,2.0,3.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,8.0,8.0,3.0,72.7
+Viktor Kovalenko,ua UKR,MF,Empoli,27-219,1996,1.0,0.0,19.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,14.0,64.3,121.0,34.0,5.0,7.0,71.4,4.0,6.0,66.7,0.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,14.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,18.0,1.0,3.0,9.0,6.0,0.0,18.0,9.0,1.0,0.0,0.0,11.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Nikola Krstović,me MNE,FW,Lecce,23-169,2000,3.0,2.0,166.0,3.0,0.0,1.0,1.0,0.0,0.0,1.63,0.0,1.63,1.08,1.08,1.3,0.5,0.68,0.25,1.8,2.0,0.0,33.3,1.08,0.33,1.0,0.08,1.7,1.5,34.0,48.0,70.8,469.0,75.0,22.0,25.0,88.0,7.0,12.0,58.3,3.0,5.0,60.0,3.0,4.0,1.0,0.0,4.0,45.0,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.71,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,1.0,1.0,0.0,0.0,2.0,0.0,68.0,4.0,12.0,38.0,18.0,10.0,67.0,38.0,3.0,2.0,1.0,48.0,4.0,1.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,11.0,8.0,2.0,80.0
+Rade Krunić,ba BIH,MF,Milan,29-349,1993,4.0,4.0,360.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,219.0,233.0,94.0,3337.0,665.0,118.0,123.0,95.9,84.0,91.0,92.3,12.0,12.0,100.0,2.0,7.0,2.0,0.0,9.0,220.0,13.0,11.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,5.0,1.25,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,4.0,2.0,2.0,1.0,2.0,0.0,2.0,7.0,9.0,0.0,264.0,16.0,72.0,168.0,25.0,2.0,264.0,152.0,3.0,4.0,0.0,182.0,3.0,1.0,0.0,6.0,6.0,0.0,0.0,0.0,0.0,23.0,2.0,4.0,33.3
+Berkan Kutlu,tr TUR,MF,Genoa,25-239,1998,1.0,0.0,33.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.12,0.12,0.4,1.0,0.0,100.0,2.73,0.0,0.0,0.05,0.0,0.0,5.0,11.0,45.5,79.0,7.0,3.0,5.0,60.0,2.0,3.0,66.7,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,2.73,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,12.0,0.0,3.0,5.0,5.0,0.0,12.0,6.0,3.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Khvicha Kvaratskhelia,ge GEO,FW,Napoli,22-221,2001,3.0,2.0,183.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.49,0.49,0.0,0.49,0.6,0.6,0.31,0.31,2.0,2.0,1.0,18.2,0.98,0.0,0.0,0.06,-0.6,-0.6,77.0,91.0,84.6,1088.0,261.0,44.0,46.0,95.7,25.0,29.0,86.2,3.0,7.0,42.9,6.0,3.0,5.0,0.0,10.0,87.0,3.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,3.0,1.0,2.0,13.0,6.39,8.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,0.0,1.0,2.0,0.0,0.0,0.0,2.0,2.0,0.0,124.0,2.0,5.0,44.0,77.0,20.0,124.0,86.0,12.0,7.0,5.0,95.0,4.0,1.0,0.0,2.0,4.0,2.0,0.0,0.0,0.0,2.0,1.0,2.0,33.3
+Giorgi Kvernadze,ge GEO,FW,Frosinone,20-226,2003,1.0,0.0,24.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,8.0,100.0,125.0,41.0,4.0,4.0,100.0,4.0,4.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,7.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,14.0,0.0,3.0,9.0,2.0,0.0,14.0,10.0,0.0,1.0,0.0,11.0,2.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Giorgos Kyriakopoulos,gr GRE,DF,Monza,27-228,1996,2.0,1.0,87.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.14,0.14,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.1,-0.1,52.0,57.0,91.2,978.0,192.0,22.0,22.0,100.0,22.0,23.0,95.7,6.0,7.0,85.7,2.0,4.0,2.0,2.0,4.0,46.0,11.0,1.0,0.0,0.0,6.0,1.0,0.0,1.0,0.0,9.0,0.0,3.0,4.0,4.14,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,61.0,1.0,5.0,30.0,26.0,2.0,61.0,38.0,4.0,1.0,0.0,47.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
+Armand Lauriente,fr FRA,"FW,MF",Sassuolo,24-291,1998,4.0,4.0,287.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.31,0.31,0.0,0.31,0.2,0.2,0.07,0.07,3.2,2.0,2.0,25.0,0.63,0.0,0.0,0.03,-0.2,-0.2,72.0,98.0,73.5,1006.0,396.0,48.0,57.0,84.2,18.0,25.0,72.0,4.0,8.0,50.0,5.0,5.0,2.0,0.0,5.0,85.0,13.0,1.0,1.0,0.0,13.0,12.0,8.0,0.0,0.0,0.0,0.0,5.0,12.0,3.76,7.0,3.0,0.0,2.0,1.0,0.31,1.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,2.0,0.0,2.0,0.0,2.0,4.0,1.0,0.0,137.0,0.0,11.0,55.0,77.0,9.0,137.0,86.0,13.0,12.0,4.0,90.0,7.0,6.0,0.0,2.0,7.0,1.0,0.0,0.0,0.0,19.0,0.0,2.0,0.0
+Valentino Lazaro,at AUT,DF,Torino,27-181,1996,3.0,1.0,131.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,58.0,78.0,74.4,946.0,542.0,34.0,36.0,94.4,15.0,24.0,62.5,8.0,15.0,53.3,3.0,10.0,0.0,0.0,8.0,64.0,14.0,3.0,0.0,0.0,10.0,2.0,1.0,1.0,0.0,9.0,0.0,1.0,4.0,2.75,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,4.0,0.0,85.0,4.0,18.0,39.0,30.0,0.0,85.0,47.0,4.0,3.0,0.0,54.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,5.0,2.0,71.4
+Darko Lazović,rs SRB,DF,Hellas Verona,33-006,1990,1.0,0.0,55.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,22.0,59.1,256.0,104.0,3.0,4.0,75.0,9.0,11.0,81.8,1.0,5.0,20.0,0.0,0.0,0.0,0.0,1.0,18.0,4.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,25.0,1.0,5.0,7.0,13.0,2.0,25.0,10.0,2.0,1.0,1.0,18.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Manuel Lazzari,it ITA,DF,Lazio,29-296,1993,2.0,2.0,161.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.08,0.08,1.8,1.0,0.0,25.0,0.56,0.0,0.0,0.04,-0.1,-0.1,99.0,122.0,81.1,1454.0,348.0,56.0,59.0,94.9,39.0,47.0,83.0,3.0,5.0,60.0,2.0,4.0,3.0,2.0,8.0,107.0,15.0,1.0,0.0,0.0,12.0,0.0,0.0,0.0,0.0,14.0,0.0,7.0,2.0,1.12,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,1.0,1.0,3.0,1.0,2.0,1.0,6.0,0.0,142.0,4.0,20.0,73.0,52.0,5.0,142.0,89.0,14.0,6.0,1.0,94.0,2.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,12.0,1.0,2.0,33.3
+Rafael Leão,pt POR,FW,Milan,24-103,1999,4.0,4.0,321.0,2.0,1.0,0.0,0.0,0.0,0.0,0.56,0.28,0.84,0.56,0.84,1.2,1.2,0.34,0.34,3.6,3.0,0.0,42.9,0.84,0.29,0.67,0.17,0.8,0.8,73.0,105.0,69.5,1167.0,336.0,37.0,48.0,77.1,29.0,40.0,72.5,6.0,12.0,50.0,7.0,9.0,7.0,3.0,14.0,102.0,3.0,1.0,2.0,0.0,9.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,14.0,3.93,11.0,0.0,0.0,1.0,3.0,0.84,2.0,0.0,0.0,1.0,0.0,3.0,3.0,1.0,1.0,1.0,5.0,0.0,5.0,0.0,0.0,0.0,149.0,1.0,7.0,62.0,82.0,29.0,149.0,115.0,15.0,8.0,11.0,128.0,10.0,8.0,0.0,1.0,11.0,3.0,1.0,0.0,0.0,6.0,2.0,5.0,28.6
+Jesper Lindstrøm,dk DEN,FW,Napoli,23-204,2000,1.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.16,0.16,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,8.0,11.0,72.7,91.0,26.0,6.0,6.0,100.0,2.0,3.0,66.7,0.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,10.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,0.0,0.0,4.0,13.0,1.0,17.0,8.0,0.0,0.0,0.0,11.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
+Karol Linetty,pl POL,MF,Torino,28-231,1995,4.0,1.0,155.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,1.7,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,68.0,85.0,80.0,1190.0,303.0,35.0,40.0,87.5,22.0,26.0,84.6,9.0,13.0,69.2,1.0,11.0,1.0,0.0,13.0,80.0,5.0,1.0,0.0,1.0,4.0,3.0,0.0,3.0,0.0,1.0,0.0,1.0,2.0,1.16,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,2.0,1.0,1.0,3.0,1.0,0.0,101.0,1.0,11.0,70.0,22.0,2.0,101.0,65.0,5.0,5.0,0.0,66.0,3.0,2.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,12.0,2.0,0.0,100.0
+Pol Lirola,es ESP,MF,Frosinone,26-039,1997,1.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,22.5,0.0,22.5,22.5,22.5,0.9,0.9,15.8,15.8,0.0,1.0,0.0,100.0,22.5,1.0,1.0,0.88,0.1,0.1,1.0,3.0,33.3,16.0,5.0,0.0,0.0,0.0,1.0,1.0,100.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,2.0,1.0,2.0,1.0,5.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,100.0
+Diego Llorente,es ESP,DF,Roma,30-036,1993,4.0,4.0,315.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.29,0.29,0.0,0.29,0.0,0.0,0.0,0.0,3.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,207.0,241.0,85.9,3808.0,1250.0,81.0,85.0,95.3,103.0,116.0,88.8,22.0,32.0,68.8,1.0,8.0,1.0,0.0,13.0,234.0,7.0,4.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,2.0,0.0,3.0,5.0,1.43,4.0,0.0,0.0,1.0,1.0,0.29,1.0,0.0,0.0,0.0,0.0,5.0,3.0,2.0,3.0,0.0,4.0,1.0,3.0,2.0,4.0,0.0,261.0,20.0,123.0,121.0,17.0,1.0,261.0,176.0,8.0,3.0,0.0,192.0,3.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,15.0,14.0,7.0,66.7
+Stanislav Lobotka,sk SVK,MF,Napoli,28-300,1994,4.0,4.0,336.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,3.7,1.0,0.0,25.0,0.27,0.0,0.0,0.02,-0.1,-0.1,253.0,268.0,94.4,3714.0,1227.0,147.0,154.0,95.5,86.0,90.0,95.6,11.0,15.0,73.3,0.0,27.0,5.0,1.0,23.0,266.0,2.0,2.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,2.95,9.0,0.0,0.0,1.0,1.0,0.27,1.0,0.0,0.0,0.0,0.0,4.0,4.0,0.0,3.0,1.0,3.0,1.0,2.0,1.0,1.0,0.0,289.0,7.0,48.0,193.0,49.0,1.0,289.0,196.0,3.0,8.0,0.0,237.0,3.0,1.0,0.0,3.0,8.0,0.0,0.0,0.0,0.0,29.0,1.0,0.0,100.0
+Manuel Locatelli,it ITA,MF,Juventus,25-256,1998,4.0,4.0,351.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.26,0.26,0.0,0.26,0.0,0.0,0.0,0.0,3.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,197.0,237.0,83.1,3949.0,1126.0,73.0,83.0,88.0,94.0,99.0,94.9,28.0,45.0,62.2,4.0,25.0,5.0,2.0,25.0,223.0,13.0,11.0,1.0,6.0,2.0,0.0,0.0,0.0,0.0,2.0,1.0,4.0,6.0,1.54,6.0,0.0,0.0,0.0,1.0,0.26,1.0,0.0,0.0,0.0,0.0,6.0,0.0,1.0,5.0,0.0,5.0,3.0,2.0,3.0,6.0,0.0,261.0,9.0,65.0,159.0,39.0,3.0,261.0,142.0,4.0,6.0,1.0,193.0,1.0,3.0,0.0,3.0,3.0,0.0,0.0,0.0,0.0,21.0,1.0,2.0,33.3
+Ruben Loftus-Cheek,eng ENG,MF,Milan,27-241,1996,4.0,4.0,286.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.31,0.31,0.0,0.31,0.4,0.4,0.11,0.11,3.2,1.0,0.0,20.0,0.31,0.0,0.0,0.07,-0.4,-0.4,95.0,117.0,81.2,1153.0,299.0,70.0,80.0,87.5,20.0,26.0,76.9,2.0,5.0,40.0,4.0,8.0,0.0,0.0,12.0,116.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,9.0,2.83,6.0,0.0,1.0,1.0,4.0,1.26,1.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,4.0,3.0,1.0,2.0,1.0,0.0,154.0,3.0,14.0,90.0,52.0,9.0,154.0,102.0,17.0,12.0,2.0,111.0,9.0,3.0,0.0,5.0,5.0,0.0,1.0,0.0,0.0,16.0,3.0,2.0,60.0
+Ademola Lookman,ng NGA,FW,Atalanta,25-336,1997,4.0,3.0,173.0,1.0,0.0,0.0,0.0,1.0,0.0,0.52,0.0,0.52,0.52,0.52,0.8,0.8,0.41,0.41,1.9,2.0,0.0,25.0,1.04,0.13,0.5,0.1,0.2,0.2,35.0,50.0,70.0,536.0,135.0,21.0,24.0,87.5,9.0,15.0,60.0,2.0,5.0,40.0,2.0,0.0,4.0,0.0,7.0,47.0,3.0,0.0,1.0,0.0,6.0,3.0,0.0,3.0,0.0,0.0,0.0,3.0,10.0,5.2,6.0,0.0,0.0,0.0,1.0,0.52,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,69.0,0.0,3.0,24.0,42.0,12.0,69.0,47.0,7.0,4.0,3.0,56.0,4.0,4.0,0.0,2.0,1.0,1.0,0.0,0.0,0.0,7.0,0.0,1.0,0.0
+Maxime Lopez,fr FRA,MF,Sassuolo,25-291,1997,2.0,2.0,140.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,124.0,136.0,91.2,2097.0,777.0,46.0,48.0,95.8,61.0,64.0,95.3,9.0,15.0,60.0,3.0,23.0,2.0,0.0,18.0,134.0,2.0,2.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,3.21,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,2.0,0.0,0.0,144.0,10.0,38.0,89.0,19.0,0.0,144.0,107.0,2.0,4.0,0.0,125.0,1.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,10.0,0.0,1.0,0.0
+Matteo Lovato,it ITA,DF,Salernitana,23-219,2000,4.0,4.0,360.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,130.0,160.0,81.3,2326.0,1211.0,55.0,61.0,90.2,58.0,66.0,87.9,13.0,24.0,54.2,0.0,13.0,0.0,0.0,12.0,149.0,9.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.5,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,5.0,7.0,1.0,1.0,6.0,4.0,2.0,4.0,11.0,0.0,200.0,25.0,95.0,96.0,11.0,1.0,200.0,98.0,0.0,1.0,0.0,112.0,1.0,2.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,15.0,8.0,4.0,66.7
+Sandi Lovrić,si SVN,MF,Udinese,25-177,1998,4.0,4.0,332.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.8,0.21,0.21,3.7,4.0,0.0,57.1,1.08,0.0,0.0,0.11,-0.8,-0.8,104.0,127.0,81.9,1751.0,427.0,63.0,70.0,90.0,24.0,30.0,80.0,13.0,19.0,68.4,7.0,9.0,3.0,2.0,10.0,110.0,17.0,5.0,0.0,2.0,17.0,9.0,3.0,3.0,0.0,3.0,0.0,2.0,16.0,4.34,10.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,3.0,0.0,3.0,1.0,3.0,0.0,158.0,3.0,12.0,72.0,75.0,6.0,158.0,99.0,8.0,8.0,2.0,109.0,6.0,6.0,0.0,5.0,3.0,1.0,0.0,0.0,0.0,21.0,0.0,3.0,0.0
+Lorenzo Lucca,it ITA,FW,Udinese,23-011,2000,4.0,3.0,246.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.37,0.37,0.0,0.37,0.7,0.7,0.26,0.26,2.7,3.0,0.0,50.0,1.1,0.0,0.0,0.12,-0.7,-0.7,24.0,45.0,53.3,277.0,46.0,10.0,19.0,52.6,7.0,15.0,46.7,0.0,0.0,0.0,6.0,2.0,1.0,0.0,3.0,42.0,2.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,8.0,2.93,6.0,0.0,0.0,1.0,1.0,0.37,1.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,0.0,1.0,2.0,0.0,2.0,0.0,2.0,0.0,84.0,2.0,4.0,35.0,45.0,14.0,84.0,54.0,3.0,4.0,1.0,73.0,12.0,1.0,0.0,6.0,7.0,0.0,0.0,0.0,0.0,6.0,8.0,9.0,47.1
+Jhon Lucumí,co COL,DF,Bologna,25-087,1998,4.0,4.0,360.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.04,0.04,4.0,1.0,0.0,33.3,0.25,0.0,0.0,0.05,-0.2,-0.2,266.0,289.0,92.0,4848.0,1562.0,107.0,112.0,95.5,126.0,132.0,95.5,28.0,37.0,75.7,2.0,27.0,0.0,0.0,17.0,275.0,14.0,11.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,6.0,8.0,5.0,0.0,7.0,2.0,5.0,1.0,12.0,0.0,329.0,38.0,142.0,181.0,9.0,2.0,329.0,219.0,5.0,4.0,0.0,242.0,1.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,25.0,8.0,2.0,80.0
+José Luis Palomino,ar ARG,DF,Atalanta,33-259,1990,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,7.0,100.0,125.0,54.0,3.0,3.0,100.0,2.0,2.0,100.0,1.0,1.0,100.0,0.0,1.0,0.0,0.0,1.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,8.0,0.0,3.0,5.0,0.0,0.0,8.0,6.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Romelu Lukaku,be BEL,FW,Roma,30-131,1993,2.0,1.0,103.0,1.0,0.0,0.0,0.0,1.0,0.0,0.87,0.0,0.87,0.87,0.87,0.3,0.3,0.28,0.28,1.1,2.0,0.0,66.7,1.75,0.33,0.5,0.11,0.7,0.7,21.0,27.0,77.8,270.0,6.0,12.0,16.0,75.0,7.0,9.0,77.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,27.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,3.5,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,30.0,0.0,0.0,12.0,18.0,4.0,30.0,26.0,0.0,2.0,0.0,29.0,0.0,1.0,0.0,3.0,0.0,2.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0
+Sebastiano Luperto,it ITA,DF,Empoli,27-015,1996,4.0,4.0,360.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,162.0,179.0,90.5,3129.0,952.0,48.0,53.0,90.6,99.0,102.0,97.1,12.0,20.0,60.0,0.0,4.0,0.0,0.0,7.0,172.0,7.0,3.0,1.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.5,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,4.0,1.0,0.0,7.0,4.0,3.0,1.0,6.0,0.0,200.0,38.0,114.0,85.0,2.0,0.0,200.0,131.0,0.0,0.0,0.0,136.0,0.0,0.0,0.0,5.0,2.0,0.0,0.0,0.0,0.0,14.0,5.0,2.0,71.4
+Charalambos Lykogiannis,gr GRE,DF,Bologna,29-334,1993,2.0,2.0,146.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.11,0.11,1.6,0.0,1.0,0.0,0.0,0.0,0.0,0.09,-0.2,-0.2,50.0,70.0,71.4,940.0,221.0,23.0,26.0,88.5,22.0,29.0,75.9,5.0,14.0,35.7,2.0,4.0,2.0,2.0,5.0,60.0,10.0,0.0,0.0,1.0,8.0,1.0,1.0,0.0,0.0,9.0,0.0,0.0,3.0,1.85,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,2.0,6.0,0.0,82.0,5.0,25.0,37.0,20.0,0.0,82.0,35.0,3.0,2.0,0.0,49.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,1.0,80.0
+Giulio Maggiore,it ITA,MF,Salernitana,25-193,1998,1.0,1.0,77.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,23.0,30.0,76.7,372.0,112.0,11.0,15.0,73.3,11.0,12.0,91.7,1.0,2.0,50.0,0.0,2.0,1.0,0.0,2.0,29.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,33.0,0.0,7.0,23.0,3.0,0.0,33.0,26.0,0.0,0.0,0.0,24.0,0.0,0.0,0.0,1.0,5.0,0.0,0.0,0.0,0.0,4.0,2.0,3.0,40.0
+Giangiacomo Magnani,it ITA,DF,Hellas Verona,27-352,1995,4.0,4.0,360.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,114.0,131.0,87.0,2754.0,807.0,18.0,21.0,85.7,73.0,78.0,93.6,23.0,30.0,76.7,2.0,7.0,0.0,0.0,8.0,125.0,6.0,6.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,1.5,5.0,0.0,0.0,0.0,2.0,0.5,1.0,0.0,0.0,0.0,1.0,3.0,2.0,1.0,2.0,0.0,4.0,3.0,1.0,6.0,17.0,0.0,164.0,22.0,84.0,77.0,3.0,2.0,164.0,87.0,0.0,0.0,0.0,95.0,1.0,0.0,0.0,5.0,3.0,0.0,0.0,0.0,0.0,16.0,2.0,2.0,50.0
+Mike Maignan,fr FRA,GK,Milan,28-080,1995,4.0,4.0,360.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,179.0,224.0,79.9,4527.0,3178.0,34.0,34.0,100.0,92.0,93.0,98.9,51.0,92.0,55.4,0.0,2.0,0.0,0.0,0.0,193.0,28.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,4.0,1.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,231.0,167.0,231.0,0.0,0.0,0.0,231.0,151.0,0.0,0.0,0.0,146.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,66.7
+Antoine Makoumbou,cg CGO,MF,Cagliari,25-065,1998,4.0,4.0,360.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,149.0,166.0,89.8,2482.0,680.0,74.0,79.0,93.7,53.0,59.0,89.8,16.0,20.0,80.0,2.0,15.0,4.0,0.0,26.0,158.0,7.0,5.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,4.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,4.0,3.0,2.0,3.0,3.0,1.0,2.0,5.0,5.0,0.0,207.0,13.0,51.0,117.0,41.0,1.0,207.0,135.0,0.0,1.0,0.0,132.0,12.0,3.0,0.0,2.0,8.0,0.0,0.0,0.0,0.0,33.0,1.0,3.0,25.0
+Youssef Maleh,ma MAR,MF,Empoli,25-030,1998,2.0,2.0,180.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,46.0,55.0,83.6,558.0,158.0,30.0,32.0,93.8,14.0,17.0,82.4,0.0,1.0,0.0,1.0,6.0,2.0,0.0,5.0,53.0,1.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,1.0,0.5,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,5.0,0.0,4.0,1.0,4.0,0.0,4.0,2.0,0.0,0.0,72.0,1.0,9.0,34.0,30.0,1.0,72.0,45.0,3.0,2.0,0.0,51.0,4.0,4.0,0.0,8.0,0.0,0.0,0.0,1.0,0.0,8.0,0.0,1.0,0.0
+Ruslan Malinovskyi,ua UKR,MF,Genoa,30-140,1993,3.0,2.0,143.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,1.6,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,36.0,47.0,76.6,675.0,207.0,13.0,18.0,72.2,17.0,21.0,81.0,5.0,6.0,83.3,1.0,2.0,2.0,0.0,6.0,46.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.26,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,55.0,1.0,14.0,30.0,13.0,1.0,55.0,26.0,0.0,2.0,0.0,38.0,0.0,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,7.0,2.0,1.0,66.7
+Gianluca Mancini,it ITA,DF,Roma,27-157,1996,4.0,4.0,348.0,1.0,0.0,0.0,0.0,0.0,0.0,0.26,0.0,0.26,0.26,0.26,0.9,0.9,0.24,0.24,3.9,3.0,0.0,50.0,0.78,0.17,0.33,0.16,0.1,0.1,205.0,244.0,84.0,3672.0,1464.0,90.0,95.0,94.7,96.0,110.0,87.3,19.0,35.0,54.3,1.0,18.0,4.0,1.0,14.0,237.0,6.0,5.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,2.0,0.52,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,5.0,5.0,2.0,0.0,4.0,4.0,0.0,3.0,6.0,0.0,274.0,31.0,130.0,119.0,26.0,6.0,274.0,185.0,7.0,11.0,0.0,213.0,0.0,0.0,0.0,4.0,5.0,0.0,0.0,0.0,0.0,17.0,8.0,6.0,57.1
+Rolando Mandragora,it ITA,MF,Fiorentina,26-084,1997,4.0,3.0,253.0,1.0,0.0,0.0,0.0,0.0,0.0,0.36,0.0,0.36,0.36,0.36,0.3,0.3,0.11,0.11,2.8,2.0,0.0,50.0,0.71,0.25,0.5,0.07,0.7,0.7,136.0,155.0,87.7,2358.0,635.0,61.0,69.0,88.4,53.0,58.0,91.4,16.0,19.0,84.2,0.0,19.0,2.0,0.0,21.0,145.0,10.0,7.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.71,1.0,1.0,0.0,0.0,1.0,0.36,0.0,1.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,2.0,0.0,2.0,2.0,2.0,0.0,177.0,2.0,28.0,119.0,30.0,3.0,177.0,115.0,1.0,1.0,0.0,130.0,3.0,3.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,15.0,3.0,4.0,42.9
+Riccardo Marchizza,it ITA,DF,Frosinone,25-179,1998,4.0,4.0,360.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.25,0.25,0.0,0.25,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,108.0,138.0,78.3,1915.0,873.0,41.0,46.0,89.1,51.0,61.0,83.6,13.0,25.0,52.0,4.0,5.0,2.0,2.0,10.0,111.0,27.0,4.0,0.0,1.0,6.0,0.0,0.0,0.0,0.0,23.0,0.0,0.0,4.0,1.0,3.0,0.0,0.0,0.0,1.0,0.25,0.0,0.0,0.0,0.0,1.0,2.0,2.0,1.0,1.0,0.0,5.0,1.0,4.0,3.0,12.0,0.0,172.0,18.0,62.0,74.0,36.0,3.0,172.0,60.0,2.0,1.0,0.0,83.0,4.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,20.0,3.0,5.0,37.5
+Pablo Marí,es ESP,DF,Monza,30-021,1993,4.0,4.0,290.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,3.2,0.0,0.0,0.0,0.0,0.0,0.0,0.05,0.0,0.0,167.0,179.0,93.3,3505.0,1179.0,41.0,47.0,87.2,106.0,109.0,97.2,19.0,22.0,86.4,0.0,7.0,0.0,0.0,7.0,178.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,3.0,5.0,2.0,0.0,2.0,1.0,1.0,4.0,6.0,1.0,202.0,27.0,97.0,100.0,5.0,2.0,202.0,125.0,0.0,0.0,0.0,154.0,1.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,14.0,5.0,4.0,55.6
+Mirko Marić,hr CRO,FW,Monza,28-128,1995,3.0,1.0,103.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.36,0.36,1.1,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.4,-0.4,23.0,30.0,76.7,264.0,19.0,14.0,17.0,82.4,6.0,8.0,75.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,1.0,28.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,2.62,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,2.0,0.0,2.0,0.0,1.0,0.0,43.0,2.0,3.0,19.0,22.0,7.0,43.0,22.0,0.0,0.0,0.0,33.0,3.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,3.0,3.0,6.0,33.3
+Răzvan Marin,ro ROU,MF,Empoli,27-121,1996,3.0,3.0,234.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.08,0.08,2.6,3.0,2.0,60.0,1.15,0.0,0.0,0.04,-0.2,-0.2,106.0,141.0,75.2,2032.0,630.0,47.0,54.0,87.0,34.0,43.0,79.1,21.0,35.0,60.0,3.0,12.0,3.0,1.0,12.0,121.0,20.0,14.0,3.0,0.0,9.0,6.0,3.0,2.0,0.0,0.0,0.0,3.0,6.0,2.31,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,0.0,4.0,0.0,1.0,0.0,1.0,0.0,6.0,0.0,164.0,8.0,36.0,94.0,36.0,1.0,164.0,96.0,3.0,5.0,0.0,108.0,0.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,11.0,2.0,1.0,66.7
+Agustín Martegani,ar ARG,MF,Salernitana,23-124,2000,3.0,0.0,113.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.07,0.07,1.3,1.0,0.0,33.3,0.8,0.0,0.0,0.03,-0.1,-0.1,60.0,67.0,89.6,897.0,244.0,32.0,34.0,94.1,18.0,20.0,90.0,5.0,8.0,62.5,2.0,9.0,2.0,0.0,5.0,64.0,3.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,4.78,5.0,1.0,0.0,0.0,1.0,0.8,1.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,0.0,2.0,0.0,0.0,0.0,1.0,1.0,0.0,80.0,4.0,9.0,49.0,22.0,1.0,80.0,52.0,3.0,2.0,1.0,58.0,2.0,1.0,0.0,4.0,4.0,0.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0
+Aarón Martín,es ESP,DF,Genoa,26-152,1997,4.0,2.0,157.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,47.0,66.0,71.2,759.0,336.0,25.0,27.0,92.6,17.0,24.0,70.8,3.0,11.0,27.3,0.0,3.0,1.0,1.0,5.0,52.0,14.0,1.0,0.0,0.0,9.0,1.0,0.0,1.0,0.0,12.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,74.0,2.0,21.0,25.0,31.0,0.0,74.0,36.0,2.0,4.0,0.0,38.0,0.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,12.0,0.0,1.0,0.0
+Josep Martinez,es ESP,GK,Genoa,25-117,1998,4.0,4.0,360.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,100.0,148.0,67.6,3647.0,2987.0,9.0,9.0,100.0,39.0,40.0,97.5,52.0,96.0,54.2,0.0,5.0,0.0,0.0,0.0,101.0,46.0,24.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,154.0,123.0,154.0,0.0,0.0,0.0,154.0,95.0,0.0,0.0,0.0,66.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,100.0
+Lautaro Martínez,ar ARG,FW,Inter,26-030,1997,4.0,4.0,349.0,5.0,1.0,0.0,0.0,1.0,0.0,1.29,0.26,1.55,1.29,1.55,2.9,2.9,0.74,0.74,3.9,7.0,0.0,43.8,1.81,0.31,0.71,0.18,2.1,2.1,75.0,97.0,77.3,1059.0,294.0,42.0,49.0,85.7,23.0,30.0,76.7,3.0,5.0,60.0,4.0,6.0,1.0,0.0,9.0,93.0,4.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,20.0,5.16,13.0,0.0,3.0,2.0,4.0,1.03,2.0,0.0,0.0,1.0,1.0,2.0,1.0,1.0,1.0,0.0,5.0,0.0,5.0,5.0,2.0,0.0,158.0,1.0,16.0,69.0,74.0,28.0,158.0,109.0,6.0,3.0,2.0,114.0,7.0,4.0,0.0,5.0,9.0,1.0,1.0,0.0,0.0,9.0,3.0,5.0,37.5
+Lucas Martínez Quarta,ar ARG,DF,Fiorentina,27-134,1996,2.0,2.0,180.0,1.0,0.0,0.0,0.0,1.0,0.0,0.5,0.0,0.5,0.5,0.5,0.3,0.3,0.13,0.13,2.0,2.0,0.0,66.7,1.0,0.33,0.5,0.09,0.7,0.7,83.0,101.0,82.2,1809.0,740.0,19.0,23.0,82.6,50.0,54.0,92.6,13.0,21.0,61.9,1.0,10.0,1.0,0.0,10.0,95.0,6.0,6.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,2.0,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,7.0,6.0,5.0,0.0,1.0,0.0,1.0,2.0,4.0,0.0,131.0,5.0,61.0,61.0,10.0,5.0,131.0,68.0,1.0,0.0,1.0,68.0,1.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,13.0,7.0,4.0,63.6
+Adam Marušić,me MNE,DF,Lazio,30-339,1992,4.0,4.0,335.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,3.7,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,177.0,215.0,82.3,2697.0,997.0,98.0,112.0,87.5,69.0,82.0,84.1,6.0,12.0,50.0,2.0,17.0,3.0,2.0,17.0,187.0,28.0,3.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,25.0,0.0,5.0,5.0,1.34,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,6.0,3.0,4.0,0.0,3.0,2.0,1.0,4.0,4.0,1.0,243.0,12.0,89.0,116.0,38.0,1.0,243.0,126.0,4.0,5.0,0.0,164.0,3.0,2.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,20.0,0.0,7.0,0.0
+Luca Mazzitelli,it ITA,MF,Frosinone,27-310,1995,4.0,4.0,340.0,2.0,0.0,0.0,0.0,1.0,0.0,0.53,0.0,0.53,0.53,0.53,0.4,0.4,0.12,0.12,3.8,3.0,0.0,42.9,0.79,0.29,0.67,0.06,1.6,1.6,151.0,203.0,74.4,2314.0,799.0,80.0,88.0,90.9,49.0,59.0,83.1,12.0,35.0,34.3,1.0,20.0,1.0,0.0,30.0,192.0,7.0,6.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,1.0,4.0,5.0,5.0,1.33,4.0,0.0,1.0,0.0,1.0,0.27,0.0,0.0,1.0,0.0,0.0,5.0,3.0,3.0,1.0,1.0,5.0,1.0,4.0,2.0,12.0,0.0,247.0,14.0,51.0,163.0,35.0,6.0,247.0,126.0,3.0,1.0,0.0,176.0,3.0,2.0,0.0,7.0,9.0,1.0,0.0,0.0,0.0,20.0,5.0,3.0,62.5
+Pasquale Mazzocchi,it ITA,DF,Salernitana,28-056,1995,4.0,3.0,245.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,2.7,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,86.0,122.0,70.5,1188.0,441.0,49.0,63.0,77.8,31.0,40.0,77.5,2.0,9.0,22.2,1.0,5.0,2.0,1.0,8.0,91.0,31.0,1.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,30.0,0.0,6.0,6.0,2.2,5.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,3.0,1.0,0.0,4.0,1.0,3.0,0.0,4.0,0.0,155.0,5.0,45.0,60.0,51.0,3.0,155.0,80.0,9.0,8.0,1.0,88.0,7.0,2.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,11.0,1.0,6.0,14.3
+Jordi Mboula,es ESP,"MF,FW",Hellas Verona,24-189,1999,3.0,2.0,116.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.07,0.07,1.3,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,16.0,26.0,61.5,231.0,46.0,9.0,13.0,69.2,5.0,6.0,83.3,1.0,1.0,100.0,0.0,0.0,0.0,0.0,2.0,25.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,33.0,0.0,5.0,17.0,11.0,4.0,33.0,25.0,3.0,1.0,1.0,26.0,3.0,4.0,0.0,1.0,2.0,1.0,0.0,0.0,0.0,3.0,2.0,6.0,25.0
+Weston McKennie,us USA,DF,Juventus,25-024,1998,4.0,2.0,208.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.43,0.43,0.0,0.43,0.2,0.2,0.09,0.09,2.3,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.2,-0.2,57.0,83.0,68.7,899.0,267.0,36.0,46.0,78.3,13.0,24.0,54.2,6.0,9.0,66.7,5.0,2.0,2.0,0.0,5.0,73.0,10.0,2.0,0.0,2.0,6.0,0.0,0.0,0.0,0.0,8.0,0.0,1.0,6.0,2.6,5.0,1.0,0.0,0.0,1.0,0.43,1.0,0.0,0.0,0.0,0.0,7.0,7.0,5.0,2.0,0.0,4.0,1.0,3.0,3.0,7.0,0.0,113.0,14.0,39.0,28.0,46.0,12.0,113.0,52.0,7.0,5.0,1.0,64.0,2.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,8.0,6.0,1.0,85.7
+Arthur Melo,br BRA,MF,Fiorentina,27-040,1996,4.0,3.0,262.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.34,0.34,0.0,0.34,0.0,0.0,0.0,0.0,2.9,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,175.0,187.0,93.6,3697.0,827.0,44.0,48.0,91.7,98.0,101.0,97.0,30.0,31.0,96.8,3.0,17.0,1.0,0.0,17.0,174.0,13.0,12.0,1.0,3.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,7.0,2.4,7.0,0.0,0.0,0.0,2.0,0.69,2.0,0.0,0.0,0.0,0.0,7.0,6.0,2.0,4.0,1.0,5.0,0.0,5.0,2.0,2.0,0.0,210.0,4.0,48.0,134.0,29.0,1.0,210.0,145.0,3.0,2.0,0.0,163.0,1.0,3.0,0.0,4.0,9.0,0.0,0.0,0.0,0.0,17.0,0.0,1.0,0.0
+Alex Meret,it ITA,GK,Napoli,26-183,1997,4.0,4.0,360.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,87.0,97.0,89.7,1839.0,922.0,22.0,22.0,100.0,53.0,54.0,98.1,12.0,21.0,57.1,0.0,0.0,0.0,0.0,0.0,79.0,18.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,100.0,72.0,99.0,1.0,0.0,0.0,100.0,66.0,0.0,0.0,0.0,60.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,1.0,0.0,100.0
+Nikola Milenković,rs SRB,DF,Fiorentina,25-344,1997,4.0,4.0,360.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.05,0.0,0.0,211.0,248.0,85.1,4534.0,1418.0,58.0,66.0,87.9,120.0,130.0,92.3,32.0,43.0,74.4,0.0,8.0,0.0,0.0,10.0,243.0,4.0,4.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,3.0,0.75,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,2.0,3.0,0.0,5.0,3.0,2.0,1.0,9.0,0.0,270.0,18.0,147.0,122.0,1.0,1.0,270.0,184.0,0.0,1.0,0.0,189.0,1.0,0.0,0.0,4.0,4.0,0.0,0.0,0.0,0.0,21.0,8.0,2.0,80.0
+Arkadiusz Milik,pl POL,FW,Juventus,29-205,1994,4.0,0.0,59.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.53,1.53,0.0,1.53,0.8,0.8,1.19,1.19,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.13,-0.8,-0.8,27.0,30.0,90.0,374.0,53.0,15.0,16.0,93.8,9.0,10.0,90.0,1.0,1.0,100.0,2.0,1.0,0.0,0.0,0.0,29.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,3.1,1.0,0.0,1.0,0.0,1.0,1.55,1.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,45.0,1.0,5.0,22.0,18.0,8.0,45.0,32.0,1.0,0.0,1.0,36.0,3.0,1.0,0.0,4.0,3.0,0.0,0.0,0.0,0.0,5.0,2.0,2.0,50.0
+Vanja Milinković-Savić,rs SRB,GK,Torino,26-213,1997,4.0,4.0,360.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,102.0,154.0,66.2,3382.0,2678.0,16.0,16.0,100.0,44.0,44.0,100.0,42.0,93.0,45.2,0.0,4.0,0.0,0.0,0.0,109.0,44.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.25,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,166.0,135.0,166.0,0.0,0.0,0.0,166.0,94.0,0.0,0.0,0.0,68.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,1.0,0.0,100.0
+Aleksei Miranchuk,ru RUS,DF,Atalanta,27-339,1995,1.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,11.0,63.6,125.0,24.0,3.0,3.0,100.0,3.0,4.0,75.0,1.0,3.0,33.3,0.0,0.0,0.0,0.0,2.0,11.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,0.0,1.0,9.0,3.0,0.0,13.0,11.0,2.0,1.0,0.0,11.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Kevin Miranda,it ITA,DF,Sassuolo,20-195,2003,1.0,0.0,14.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,10.0,90.0,165.0,43.0,3.0,3.0,100.0,5.0,6.0,83.3,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,11.0,1.0,7.0,5.0,0.0,0.0,11.0,8.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Fabio Miretti,it ITA,MF,Juventus,20-049,2003,3.0,3.0,164.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.06,0.06,1.8,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,48.0,64.0,75.0,779.0,255.0,21.0,23.0,91.3,22.0,25.0,88.0,3.0,8.0,37.5,2.0,4.0,4.0,2.0,4.0,57.0,6.0,2.0,1.0,0.0,4.0,4.0,0.0,1.0,0.0,0.0,1.0,3.0,6.0,3.29,4.0,1.0,0.0,0.0,1.0,0.55,1.0,0.0,0.0,0.0,0.0,3.0,3.0,1.0,2.0,0.0,1.0,0.0,1.0,0.0,2.0,0.0,86.0,2.0,18.0,36.0,34.0,7.0,86.0,51.0,4.0,3.0,0.0,58.0,3.0,0.0,0.0,5.0,6.0,0.0,0.0,0.0,0.0,9.0,0.0,2.0,0.0
+Filippo Missori,it ITA,DF,Sassuolo,19-181,2004,1.0,0.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.21,0.21,0.5,1.0,0.0,50.0,2.0,0.0,0.0,0.05,-0.1,-0.1,19.0,26.0,73.1,339.0,92.0,9.0,9.0,100.0,5.0,9.0,55.6,4.0,5.0,80.0,1.0,0.0,1.0,1.0,2.0,23.0,3.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,1.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,2.0,0.0,0.0,35.0,3.0,14.0,12.0,9.0,1.0,35.0,20.0,3.0,1.0,1.0,22.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,100.0
+Henrikh Mkhitaryan,am ARM,MF,Inter,34-243,1989,4.0,4.0,351.0,2.0,1.0,0.0,0.0,1.0,0.0,0.51,0.26,0.77,0.51,0.77,1.1,1.1,0.27,0.27,3.9,2.0,0.0,28.6,0.51,0.29,1.0,0.15,0.9,0.9,180.0,212.0,84.9,2570.0,569.0,103.0,111.0,92.8,59.0,69.0,85.5,8.0,14.0,57.1,5.0,24.0,4.0,0.0,23.0,208.0,4.0,3.0,3.0,2.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,6.0,14.0,3.59,13.0,1.0,0.0,0.0,3.0,0.77,3.0,0.0,0.0,0.0,0.0,6.0,3.0,1.0,4.0,1.0,1.0,0.0,1.0,4.0,5.0,0.0,244.0,3.0,46.0,129.0,73.0,13.0,244.0,160.0,8.0,6.0,3.0,179.0,4.0,0.0,0.0,3.0,4.0,0.0,0.0,0.0,0.0,27.0,2.0,2.0,50.0
+Ilario Monterisi,it ITA,DF,Frosinone,21-276,2001,4.0,4.0,315.0,1.0,0.0,0.0,0.0,0.0,0.0,0.29,0.0,0.29,0.29,0.29,0.3,0.3,0.09,0.09,3.5,1.0,0.0,100.0,0.29,1.0,1.0,0.31,0.7,0.7,196.0,233.0,84.1,3450.0,1735.0,85.0,91.0,93.4,88.0,94.0,93.6,18.0,36.0,50.0,1.0,10.0,1.0,0.0,9.0,217.0,15.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,2.0,0.57,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,4.0,3.0,2.0,0.0,5.0,5.0,0.0,1.0,15.0,0.0,262.0,55.0,172.0,88.0,4.0,1.0,262.0,151.0,0.0,1.0,0.0,175.0,1.0,0.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,23.0,14.0,8.0,63.6
+Lorenzo Montipò,it ITA,GK,Hellas Verona,27-213,1996,4.0,4.0,360.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,84.0,144.0,58.3,3127.0,2614.0,11.0,11.0,100.0,31.0,32.0,96.9,42.0,101.0,41.6,0.0,4.0,0.0,0.0,0.0,95.0,49.0,14.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.25,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,164.0,123.0,163.0,1.0,0.0,0.0,164.0,73.0,0.0,0.0,0.0,60.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,7.0,1.0,1.0,50.0
+Nikola Moro,hr CRO,"MF,FW",Bologna,25-193,1998,4.0,3.0,182.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,90.0,110.0,81.8,1703.0,386.0,37.0,42.0,88.1,38.0,40.0,95.0,13.0,18.0,72.2,2.0,10.0,2.0,1.0,10.0,109.0,1.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,1.98,4.0,0.0,0.0,0.0,1.0,0.49,1.0,0.0,0.0,0.0,0.0,3.0,2.0,2.0,1.0,0.0,4.0,0.0,4.0,2.0,2.0,0.0,132.0,3.0,22.0,84.0,30.0,1.0,132.0,73.0,3.0,6.0,0.0,103.0,3.0,2.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,10.0,2.0,0.0,100.0
+Dany Mota,pt POR,"FW,MF",Monza,25-142,1998,4.0,2.0,225.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.9,0.38,0.38,2.5,4.0,0.0,36.4,1.6,0.0,0.0,0.09,-0.9,-0.9,38.0,55.0,69.1,699.0,77.0,18.0,21.0,85.7,16.0,20.0,80.0,4.0,5.0,80.0,3.0,3.0,1.0,1.0,4.0,48.0,5.0,0.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,1.0,2.0,3.0,7.0,2.81,6.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,3.0,0.0,91.0,3.0,6.0,27.0,58.0,23.0,91.0,52.0,7.0,3.0,2.0,63.0,7.0,2.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,8.0,7.0,9.0,43.8
+Samuele Mulattieri,it ITA,FW,Sassuolo,22-349,2000,4.0,0.0,52.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.17,0.17,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.1,-0.1,16.0,18.0,88.9,186.0,10.0,10.0,10.0,100.0,4.0,4.0,100.0,0.0,1.0,0.0,1.0,2.0,0.0,0.0,0.0,15.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.46,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,1.0,0.0,34.0,2.0,4.0,20.0,10.0,3.0,34.0,17.0,3.0,1.0,2.0,21.0,5.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,5.0,37.5
+Luis Muriel,co COL,FW,Atalanta,32-158,1991,2.0,0.0,25.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.29,0.29,0.3,1.0,0.0,100.0,3.6,0.0,0.0,0.08,-0.1,-0.1,17.0,21.0,81.0,307.0,110.0,11.0,13.0,84.6,3.0,3.0,100.0,3.0,5.0,60.0,5.0,1.0,1.0,0.0,3.0,16.0,5.0,1.0,0.0,0.0,5.0,3.0,3.0,0.0,0.0,1.0,0.0,0.0,6.0,20.77,4.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,24.0,0.0,0.0,9.0,16.0,4.0,24.0,17.0,3.0,2.0,1.0,19.0,1.0,3.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,100.0
+Yunus Musah,us USA,MF,Milan,20-296,2002,2.0,0.0,30.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,15.0,86.7,160.0,6.0,11.0,12.0,91.7,2.0,2.0,100.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,19.0,1.0,4.0,12.0,3.0,0.0,19.0,18.0,1.0,0.0,0.0,17.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0
+Juan Musso,ar ARG,GK,Atalanta,29-138,1994,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,81.0,106.0,76.4,2016.0,1333.0,18.0,18.0,100.0,40.0,40.0,100.0,22.0,47.0,46.8,0.0,0.0,0.0,0.0,0.0,85.0,21.0,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.33,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,112.0,88.0,111.0,1.0,0.0,0.0,112.0,75.0,0.0,0.0,0.0,55.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0
+Obite N'Dicka,ci CIV,DF,Roma,24-032,1999,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,68.0,72.0,94.4,1046.0,427.0,35.0,35.0,100.0,31.0,33.0,93.9,2.0,3.0,66.7,0.0,3.0,0.0,0.0,3.0,72.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,2.0,0.0,2.0,0.0,2.0,0.0,80.0,15.0,51.0,28.0,1.0,0.0,80.0,59.0,0.0,0.0,0.0,64.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,1.0,75.0
+Nahitan Nández,uy URU,"MF,FW",Cagliari,27-267,1995,4.0,3.0,218.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.22,0.22,2.4,2.0,0.0,50.0,0.83,0.0,0.0,0.14,-0.5,-0.5,48.0,82.0,58.5,817.0,281.0,29.0,34.0,85.3,13.0,21.0,61.9,6.0,22.0,27.3,3.0,3.0,3.0,1.0,9.0,76.0,6.0,2.0,1.0,2.0,13.0,1.0,0.0,1.0,0.0,2.0,0.0,3.0,6.0,2.48,5.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,2.0,0.0,2.0,2.0,1.0,0.0,102.0,1.0,10.0,43.0,50.0,4.0,102.0,61.0,7.0,2.0,1.0,71.0,5.0,3.0,0.0,7.0,3.0,2.0,0.0,0.0,0.0,11.0,4.0,8.0,33.3
+Michel Ndary Adopo,fr FRA,MF,Atalanta,23-064,2000,2.0,0.0,21.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,4.29,4.29,0.0,4.29,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,17.0,70.6,239.0,89.0,4.0,7.0,57.1,8.0,9.0,88.9,0.0,0.0,0.0,1.0,2.0,0.0,0.0,2.0,17.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,4.29,1.0,0.0,0.0,0.0,1.0,4.29,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,19.0,1.0,4.0,11.0,4.0,1.0,19.0,15.0,0.0,0.0,0.0,17.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
+Dan Ndoye,ch SUI,"FW,MF",Bologna,22-331,2000,4.0,4.0,321.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.16,0.16,3.6,4.0,0.0,40.0,1.12,0.0,0.0,0.06,-0.6,-0.6,91.0,123.0,74.0,1459.0,325.0,50.0,61.0,82.0,27.0,33.0,81.8,10.0,17.0,58.8,5.0,9.0,3.0,1.0,10.0,116.0,6.0,0.0,0.0,1.0,13.0,5.0,3.0,1.0,0.0,1.0,1.0,4.0,16.0,4.49,12.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,3.0,5.0,2.0,0.0,5.0,0.0,5.0,0.0,3.0,0.0,184.0,2.0,24.0,77.0,86.0,13.0,184.0,122.0,18.0,12.0,3.0,133.0,14.0,2.0,0.0,3.0,11.0,0.0,0.0,0.0,0.0,21.0,3.0,3.0,50.0
+Cyril Ngonge,be BEL,"MF,FW",Hellas Verona,23-118,2000,4.0,4.0,310.0,2.0,0.0,0.0,0.0,0.0,0.0,0.58,0.0,0.58,0.58,0.58,0.6,0.6,0.16,0.16,3.4,3.0,0.0,42.9,0.87,0.29,0.67,0.08,1.4,1.4,51.0,74.0,68.9,1046.0,229.0,17.0,25.0,68.0,25.0,30.0,83.3,8.0,13.0,61.5,5.0,5.0,2.0,1.0,7.0,63.0,10.0,1.0,1.0,1.0,6.0,1.0,0.0,1.0,0.0,1.0,1.0,3.0,10.0,2.9,8.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,2.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,106.0,2.0,7.0,45.0,55.0,9.0,106.0,64.0,11.0,4.0,5.0,68.0,6.0,4.0,0.0,10.0,3.0,2.0,0.0,0.0,0.0,10.0,4.0,7.0,36.4
+Rasmus Nissen,dk DEN,"DF,FW",Roma,26-072,1997,3.0,3.0,199.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.45,0.45,0.0,0.45,0.0,0.0,0.0,0.0,2.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,88.0,122.0,72.1,1387.0,372.0,53.0,59.0,89.8,30.0,49.0,61.2,4.0,9.0,44.4,3.0,3.0,2.0,2.0,3.0,94.0,27.0,1.0,0.0,1.0,5.0,0.0,0.0,0.0,0.0,26.0,1.0,2.0,4.0,1.81,3.0,0.0,0.0,0.0,1.0,0.45,1.0,0.0,0.0,0.0,0.0,6.0,3.0,4.0,2.0,0.0,5.0,0.0,5.0,1.0,2.0,0.0,142.0,2.0,48.0,60.0,34.0,2.0,142.0,74.0,1.0,2.0,1.0,81.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,1.0,2.0,33.3
+M'Bala Nzola,ao ANG,FW,Fiorentina,27-034,1996,4.0,2.0,225.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.0,0.4,0.2,0.2,0.08,0.08,2.5,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.2,-0.2,51.0,59.0,86.4,672.0,65.0,39.0,43.0,90.7,5.0,7.0,71.4,4.0,4.0,100.0,2.0,3.0,1.0,0.0,2.0,53.0,6.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,2.0,0.8,1.0,0.0,1.0,0.0,1.0,0.4,0.0,0.0,1.0,0.0,0.0,2.0,1.0,0.0,0.0,2.0,1.0,0.0,1.0,0.0,2.0,0.0,87.0,2.0,3.0,43.0,43.0,7.0,87.0,61.0,1.0,2.0,0.0,70.0,13.0,8.0,0.0,6.0,1.0,2.0,0.0,0.0,0.0,8.0,7.0,7.0,50.0
+Adam Obert,sk SVK,DF,Cagliari,21-029,2002,3.0,2.0,187.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,63.0,86.0,73.3,1303.0,419.0,24.0,27.0,88.9,28.0,34.0,82.4,11.0,23.0,47.8,2.0,4.0,1.0,1.0,3.0,79.0,6.0,4.0,1.0,4.0,2.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,3.0,1.44,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,2.0,2.0,0.0,3.0,1.0,2.0,4.0,11.0,0.0,109.0,14.0,60.0,46.0,3.0,0.0,109.0,53.0,1.0,1.0,0.0,57.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,8.0,5.0,3.0,62.5
+Guillermo Ochoa,mx MEX,GK,Salernitana,38-070,1985,4.0,4.0,360.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,77.0,125.0,61.6,2062.0,1412.0,9.0,9.0,100.0,50.0,50.0,100.0,18.0,64.0,28.1,0.0,3.0,1.0,0.0,0.0,74.0,50.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.25,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,135.0,110.0,135.0,0.0,0.0,0.0,135.0,66.0,0.0,0.0,0.0,42.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,100.0
+Noah Okafor,ch SUI,FW,Milan,23-120,2000,4.0,0.0,71.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,7.0,57.1,47.0,16.0,1.0,1.0,100.0,2.0,3.0,66.7,0.0,0.0,0.0,0.0,1.0,0.0,0.0,2.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,17.0,2.0,3.0,8.0,7.0,2.0,17.0,14.0,2.0,1.0,1.0,15.0,2.0,2.0,0.0,5.0,3.0,0.0,0.0,0.0,0.0,2.0,1.0,3.0,25.0
+Caleb Okoli,it ITA,DF,Frosinone,22-070,2001,1.0,0.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,23.0,26.0,88.5,520.0,293.0,8.0,8.0,100.0,11.0,12.0,91.7,3.0,4.0,75.0,0.0,3.0,1.0,0.0,1.0,26.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,29.0,4.0,20.0,9.0,0.0,0.0,29.0,22.0,0.0,0.0,0.0,22.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Mathías Olivera,uy URU,DF,Napoli,25-325,1997,4.0,3.0,263.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,2.9,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,168.0,196.0,85.7,2506.0,525.0,100.0,109.0,91.7,58.0,65.0,89.2,7.0,9.0,77.8,4.0,9.0,3.0,2.0,9.0,166.0,29.0,4.0,0.0,1.0,5.0,0.0,0.0,0.0,0.0,25.0,1.0,8.0,8.0,2.74,7.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,3.0,1.0,1.0,3.0,0.0,3.0,2.0,3.0,0.0,223.0,6.0,53.0,113.0,58.0,14.0,223.0,116.0,7.0,7.0,0.0,140.0,2.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,12.0,9.0,6.0,60.0
+Gaetano Oristanio,it ITA,"FW,DF",Cagliari,20-358,2002,3.0,2.0,130.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.07,0.07,1.4,0.0,1.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,16.0,24.0,66.7,221.0,52.0,12.0,13.0,92.3,2.0,5.0,40.0,1.0,2.0,50.0,1.0,2.0,0.0,0.0,2.0,18.0,6.0,0.0,0.0,0.0,4.0,2.0,2.0,0.0,0.0,0.0,0.0,3.0,4.0,2.77,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,41.0,0.0,4.0,17.0,22.0,5.0,41.0,30.0,3.0,4.0,3.0,27.0,9.0,7.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,7.0,1.0,2.0,33.3
+Riccardo Orsolini,it ITA,FW,Bologna,26-240,1997,4.0,1.0,160.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.1,0.48,0.04,1.8,1.0,0.0,50.0,0.56,0.0,0.0,0.03,-0.9,-0.1,39.0,55.0,70.9,542.0,152.0,21.0,22.0,95.5,15.0,23.0,65.2,2.0,7.0,28.6,3.0,1.0,4.0,1.0,8.0,50.0,5.0,4.0,0.0,1.0,5.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,7.0,3.94,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,2.0,1.0,1.0,1.0,2.0,0.0,73.0,1.0,12.0,24.0,38.0,9.0,72.0,43.0,7.0,7.0,4.0,50.0,3.0,0.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,5.0,3.0,2.0,60.0
+Victor Osimhen,ng NGA,FW,Napoli,24-266,1998,4.0,4.0,350.0,3.0,0.0,1.0,1.0,0.0,0.0,0.77,0.0,0.77,0.51,0.51,2.6,1.8,0.67,0.47,3.9,3.0,0.0,16.7,0.77,0.11,0.67,0.1,0.4,0.2,32.0,47.0,68.1,381.0,89.0,16.0,19.0,84.2,9.0,13.0,69.2,0.0,1.0,0.0,5.0,4.0,0.0,0.0,4.0,36.0,8.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,7.0,1.8,4.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,4.0,0.0,100.0,4.0,6.0,37.0,58.0,31.0,99.0,51.0,9.0,4.0,2.0,67.0,12.0,2.0,0.0,7.0,4.0,7.0,0.0,0.0,0.0,6.0,9.0,10.0,47.4
+Anthony Oyono,ga GAB,DF,Frosinone,22-162,2001,4.0,4.0,360.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.05,0.0,0.0,164.0,198.0,82.8,2254.0,953.0,102.0,112.0,91.1,45.0,57.0,78.9,8.0,17.0,47.1,6.0,9.0,4.0,3.0,10.0,147.0,51.0,3.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,48.0,0.0,3.0,9.0,2.25,6.0,3.0,0.0,0.0,2.0,0.5,0.0,2.0,0.0,0.0,0.0,8.0,5.0,6.0,2.0,0.0,7.0,2.0,5.0,5.0,15.0,0.0,247.0,20.0,82.0,108.0,59.0,7.0,247.0,123.0,12.0,8.0,5.0,129.0,9.0,1.0,0.0,2.0,8.0,0.0,0.0,0.0,0.0,19.0,5.0,3.0,62.5
+Riccardo Pagano,it ITA,"MF,DF",Roma,18-297,2004,3.0,0.0,29.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.17,0.17,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,18.0,18.0,100.0,327.0,66.0,8.0,8.0,100.0,7.0,7.0,100.0,3.0,3.0,100.0,1.0,4.0,0.0,0.0,2.0,17.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,5.0,15.52,2.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,24.0,0.0,4.0,13.0,7.0,0.0,24.0,15.0,1.0,1.0,0.0,17.0,1.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Leandro Paredes,ar ARG,MF,Roma,29-084,1994,4.0,3.0,214.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.42,0.42,0.0,0.42,0.2,0.2,0.07,0.07,2.4,0.0,1.0,0.0,0.0,0.0,0.0,0.04,-0.2,-0.2,134.0,155.0,86.5,2498.0,898.0,56.0,58.0,96.6,63.0,71.0,88.7,14.0,24.0,58.3,2.0,14.0,0.0,0.0,11.0,137.0,18.0,10.0,1.0,2.0,9.0,6.0,5.0,1.0,0.0,2.0,0.0,2.0,7.0,2.94,4.0,2.0,0.0,1.0,1.0,0.42,0.0,1.0,0.0,0.0,0.0,6.0,2.0,4.0,1.0,1.0,1.0,0.0,1.0,3.0,3.0,0.0,169.0,7.0,39.0,103.0,29.0,0.0,169.0,109.0,0.0,7.0,0.0,122.0,1.0,1.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,12.0,2.0,0.0,100.0
+Fabiano Parisi,it ITA,DF,Fiorentina,22-316,2000,2.0,2.0,180.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,117.0,151.0,77.5,2224.0,841.0,50.0,53.0,94.3,49.0,66.0,74.2,17.0,24.0,70.8,1.0,7.0,2.0,1.0,10.0,117.0,34.0,5.0,1.0,2.0,6.0,0.0,0.0,0.0,0.0,29.0,0.0,7.0,4.0,2.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,0.0,1.0,3.0,2.0,1.0,1.0,3.0,1.0,0.0,173.0,6.0,46.0,97.0,34.0,0.0,173.0,109.0,6.0,6.0,0.0,96.0,4.0,1.0,0.0,2.0,7.0,0.0,0.0,0.0,0.0,22.0,0.0,5.0,0.0
+Mario Pašalić,hr CRO,"MF,FW",Atalanta,28-224,1995,2.0,1.0,77.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.12,0.12,0.9,1.0,0.0,100.0,1.17,0.0,0.0,0.1,-0.1,-0.1,19.0,24.0,79.2,368.0,56.0,8.0,9.0,88.9,9.0,10.0,90.0,2.0,4.0,50.0,0.0,3.0,0.0,0.0,1.0,24.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,2.34,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,2.0,0.0,28.0,2.0,8.0,14.0,6.0,2.0,28.0,18.0,1.0,0.0,1.0,20.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,4.0,1.0,4.0,20.0
+Patric,es ESP,DF,Lazio,30-157,1993,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,54.0,63.0,85.7,1063.0,385.0,15.0,15.0,100.0,31.0,32.0,96.9,8.0,16.0,50.0,1.0,3.0,1.0,0.0,3.0,58.0,5.0,5.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,2.0,1.0,1.0,0.0,3.0,0.0,69.0,6.0,35.0,34.0,0.0,0.0,69.0,51.0,0.0,0.0,0.0,55.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Rui Patrício,pt POR,GK,Roma,35-218,1988,4.0,4.0,360.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,84.0,93.0,90.3,2137.0,1299.0,20.0,20.0,100.0,40.0,40.0,100.0,24.0,33.0,72.7,0.0,0.0,0.0,0.0,0.0,73.0,20.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,98.0,88.0,98.0,0.0,0.0,0.0,98.0,65.0,0.0,0.0,0.0,54.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,4.0,0.0,0.0,0.0
+Leonardo Pavoletti,it ITA,FW,Cagliari,34-299,1988,3.0,2.0,112.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.13,0.13,1.2,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.2,-0.2,19.0,32.0,59.4,299.0,72.0,9.0,13.0,69.2,6.0,10.0,60.0,2.0,3.0,66.7,0.0,3.0,1.0,0.0,4.0,31.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,3.0,2.41,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,51.0,1.0,5.0,26.0,20.0,5.0,51.0,25.0,0.0,0.0,0.0,39.0,8.0,1.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,4.0,11.0,7.0,61.1
+Martín Payero,ar ARG,MF,Udinese,25-010,1998,1.0,0.0,19.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,15.0,100.0,185.0,60.0,11.0,11.0,100.0,3.0,3.0,100.0,1.0,1.0,100.0,0.0,2.0,1.0,0.0,1.0,14.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,4.74,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,20.0,0.0,4.0,10.0,6.0,0.0,20.0,10.0,1.0,0.0,0.0,12.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,100.0
+Marcus Pedersen,no NOR,DF,Sassuolo,23-067,2000,3.0,0.0,94.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.06,0.06,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,22.0,32.0,68.8,369.0,81.0,8.0,9.0,88.9,12.0,18.0,66.7,1.0,1.0,100.0,0.0,0.0,0.0,0.0,1.0,25.0,7.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,7.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,3.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,0.0,42.0,3.0,12.0,16.0,15.0,3.0,42.0,16.0,1.0,2.0,0.0,19.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,0.0
+Pedro,es ESP,FW,Lazio,36-055,1987,3.0,0.0,48.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,26.0,80.8,257.0,68.0,12.0,13.0,92.3,6.0,7.0,85.7,0.0,1.0,0.0,2.0,0.0,0.0,0.0,1.0,26.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,5.63,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,2.0,1.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,34.0,0.0,5.0,15.0,15.0,2.0,34.0,25.0,3.0,4.0,1.0,27.0,3.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0
+Pietro Pellegri,it ITA,FW,Torino,22-188,2001,4.0,0.0,122.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.14,0.14,1.4,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.2,-0.2,15.0,21.0,71.4,168.0,21.0,12.0,14.0,85.7,2.0,4.0,50.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,1.48,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,38.0,0.0,5.0,14.0,20.0,5.0,38.0,24.0,2.0,2.0,0.0,29.0,6.0,3.0,0.0,3.0,7.0,3.0,0.0,0.0,0.0,2.0,5.0,7.0,41.7
+Lorenzo Pellegrini,it ITA,MF,Roma,27-094,1996,2.0,1.0,150.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.24,0.24,1.7,0.0,2.0,0.0,0.0,0.0,0.0,0.06,-0.4,-0.4,42.0,63.0,66.7,693.0,246.0,20.0,22.0,90.9,19.0,25.0,76.0,2.0,13.0,15.4,6.0,8.0,0.0,0.0,7.0,47.0,16.0,6.0,0.0,1.0,16.0,10.0,2.0,7.0,0.0,0.0,0.0,0.0,9.0,5.4,3.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,0.0,3.0,1.0,0.0,0.0,0.0,1.0,2.0,0.0,83.0,2.0,6.0,38.0,41.0,5.0,83.0,40.0,1.0,1.0,1.0,49.0,3.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,9.0,0.0,3.0,0.0
+Luca Pellegrini,it ITA,DF,Lazio,24-198,1999,4.0,0.0,99.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,1.1,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,53.0,73.0,72.6,825.0,227.0,27.0,32.0,84.4,22.0,29.0,75.9,2.0,6.0,33.3,1.0,6.0,2.0,0.0,16.0,63.0,10.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,10.0,0.0,4.0,4.0,3.64,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,88.0,2.0,19.0,30.0,41.0,1.0,88.0,54.0,6.0,1.0,0.0,58.0,3.0,0.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,5.0,2.0,3.0,40.0
+Pepín,gq EQG,MF,Monza,27-038,1996,2.0,0.0,36.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.09,0.09,0.4,0.0,1.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,25.0,29.0,86.2,440.0,139.0,10.0,11.0,90.9,12.0,12.0,100.0,2.0,4.0,50.0,0.0,1.0,0.0,0.0,3.0,27.0,2.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,35.0,2.0,5.0,23.0,7.0,0.0,35.0,21.0,0.0,2.0,0.0,24.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Pedro Pereira,pt POR,DF,Monza,25-242,1998,3.0,0.0,54.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,38.0,57.0,66.7,589.0,149.0,26.0,29.0,89.7,6.0,10.0,60.0,4.0,10.0,40.0,1.0,2.0,2.0,2.0,5.0,52.0,5.0,1.0,0.0,1.0,11.0,0.0,0.0,0.0,0.0,4.0,0.0,4.0,4.0,6.67,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,4.0,1.0,3.0,1.0,3.0,0.0,69.0,2.0,12.0,17.0,40.0,2.0,69.0,41.0,2.0,3.0,0.0,50.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,2.0,0.0
+Roberto Pereyra,ar ARG,FW,Udinese,32-257,1991,1.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,6.0,83.3,79.0,11.0,3.0,3.0,100.0,1.0,1.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,11.0,0.0,0.0,8.0,3.0,0.0,11.0,6.0,0.0,0.0,0.0,9.0,0.0,1.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Nehuén Pérez,ar ARG,DF,Udinese,23-089,2000,4.0,4.0,360.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.08,0.08,4.0,1.0,0.0,20.0,0.25,0.0,0.0,0.06,-0.3,-0.3,182.0,234.0,77.8,3322.0,1450.0,70.0,79.0,88.6,94.0,107.0,87.9,15.0,42.0,35.7,0.0,21.0,2.0,2.0,28.0,216.0,17.0,11.0,1.0,3.0,10.0,0.0,0.0,0.0,0.0,6.0,1.0,0.0,6.0,1.5,5.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,7.0,5.0,3.0,1.0,4.0,1.0,3.0,5.0,13.0,0.0,273.0,15.0,91.0,147.0,39.0,6.0,273.0,170.0,8.0,8.0,0.0,177.0,2.0,1.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,27.0,14.0,5.0,73.7
+Mattia Perin,it ITA,GK,Juventus,30-315,1992,2.0,2.0,180.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,44.0,53.0,83.0,969.0,570.0,12.0,12.0,100.0,21.0,21.0,100.0,10.0,19.0,52.6,0.0,0.0,0.0,0.0,0.0,37.0,16.0,5.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,56.0,45.0,55.0,1.0,0.0,0.0,56.0,30.0,0.0,0.0,0.0,29.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Samuele Perisan,it ITA,GK,Empoli,26-031,1997,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,27.0,34.0,79.4,551.0,340.0,10.0,10.0,100.0,11.0,11.0,100.0,5.0,12.0,41.7,0.0,0.0,0.0,0.0,0.0,21.0,13.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,33.0,32.0,33.0,0.0,0.0,0.0,33.0,13.0,0.0,0.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Matteo Pessina,it ITA,MF,Monza,26-153,1997,4.0,4.0,360.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,4.0,1.0,0.0,50.0,0.25,0.0,0.0,0.06,-0.1,-0.1,276.0,309.0,89.3,5135.0,1174.0,105.0,117.0,89.7,134.0,141.0,95.0,33.0,40.0,82.5,3.0,36.0,6.0,1.0,32.0,297.0,11.0,7.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,3.0,1.0,5.0,14.0,3.5,12.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,4.0,3.0,4.0,1.0,4.0,1.0,3.0,2.0,6.0,0.0,340.0,12.0,58.0,205.0,82.0,3.0,340.0,224.0,13.0,12.0,0.0,250.0,5.0,0.0,0.0,6.0,3.0,0.0,0.0,0.0,0.0,29.0,3.0,1.0,75.0
+Andrea Petagna,it ITA,FW,Cagliari,28-083,1995,1.0,1.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,8.0,75.0,131.0,2.0,1.0,1.0,100.0,2.0,4.0,50.0,2.0,2.0,100.0,0.0,1.0,0.0,0.0,1.0,8.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,11.0,1.0,2.0,4.0,5.0,2.0,11.0,9.0,1.0,0.0,0.0,11.0,2.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,50.0
+Giuseppe Pezzella,it ITA,DF,Empoli,25-296,1997,4.0,2.0,229.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,2.5,1.0,0.0,100.0,0.39,0.0,0.0,0.1,-0.1,-0.1,156.0,187.0,83.4,2458.0,625.0,86.0,93.0,92.5,55.0,61.0,90.2,12.0,20.0,60.0,2.0,15.0,2.0,1.0,15.0,162.0,25.0,3.0,1.0,0.0,14.0,0.0,0.0,0.0,0.0,22.0,0.0,8.0,4.0,1.58,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,8.0,7.0,3.0,1.0,9.0,4.0,5.0,0.0,5.0,0.0,227.0,11.0,61.0,102.0,65.0,1.0,227.0,136.0,15.0,8.0,0.0,153.0,2.0,2.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,17.0,2.0,1.0,66.7
+Roberto Piccoli,it ITA,FW,Empoli,22-237,2001,2.0,0.0,38.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.12,0.12,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,4.0,6.0,66.7,47.0,16.0,3.0,4.0,75.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,4.74,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,0.0,0.0,4.0,6.0,1.0,10.0,5.0,0.0,0.0,0.0,6.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,2.0,33.3
+Roberto Piccoli,it ITA,FW,Lecce,22-237,2001,2.0,0.0,33.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,7.0,42.9,32.0,0.0,2.0,3.0,66.7,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,18.0,2.0,3.0,7.0,8.0,1.0,18.0,13.0,1.0,1.0,0.0,13.0,1.0,6.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,0.0
+Andrea Pinamonti,it ITA,FW,Sassuolo,24-125,1999,4.0,4.0,308.0,3.0,0.0,0.0,0.0,0.0,0.0,0.88,0.0,0.88,0.88,0.88,0.8,0.8,0.23,0.23,3.4,3.0,0.0,33.3,0.88,0.33,1.0,0.09,2.2,2.2,49.0,67.0,73.1,646.0,79.0,30.0,33.0,90.9,15.0,19.0,78.9,1.0,3.0,33.3,4.0,1.0,0.0,0.0,2.0,56.0,10.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,7.0,2.05,5.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,2.0,0.0,0.0,0.0,97.0,2.0,3.0,46.0,48.0,15.0,97.0,53.0,2.0,0.0,2.0,71.0,8.0,1.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,3.0,7.0,13.0,35.0
+Lorenzo Pirola,it ITA,DF,Salernitana,21-213,2002,3.0,3.0,252.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.8,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,108.0,138.0,78.3,1614.0,666.0,60.0,68.0,88.2,45.0,54.0,83.3,1.0,9.0,11.1,0.0,2.0,1.0,0.0,11.0,132.0,6.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,2.0,0.71,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,2.0,2.0,0.0,1.0,1.0,0.0,0.0,9.0,0.0,159.0,15.0,61.0,91.0,7.0,0.0,159.0,79.0,2.0,2.0,0.0,111.0,0.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,10.0,4.0,9.0,30.8
+Tommaso Pobega,it ITA,MF,Milan,24-068,1999,2.0,0.0,39.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.03,0.4,1.0,0.0,100.0,2.31,0.0,0.0,0.01,0.0,0.0,13.0,13.0,100.0,265.0,98.0,6.0,6.0,100.0,5.0,5.0,100.0,2.0,2.0,100.0,0.0,1.0,0.0,0.0,1.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,0.0,21.0,3.0,6.0,11.0,5.0,0.0,21.0,7.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Paul Pogba,fr FRA,MF,Juventus,30-190,1993,2.0,0.0,54.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,27.0,35.0,77.1,425.0,113.0,13.0,14.0,92.9,11.0,13.0,84.6,2.0,4.0,50.0,1.0,5.0,2.0,0.0,5.0,32.0,3.0,3.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,3.33,2.0,0.0,0.0,0.0,1.0,1.67,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,43.0,1.0,4.0,25.0,14.0,2.0,43.0,23.0,1.0,1.0,0.0,32.0,2.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,4.0,1.0,0.0,100.0
+Matteo Politano,it ITA,FW,Napoli,30-049,1993,4.0,3.0,255.0,2.0,0.0,0.0,0.0,0.0,0.0,0.71,0.0,0.71,0.71,0.71,0.5,0.5,0.19,0.19,2.8,2.0,0.0,40.0,0.71,0.4,1.0,0.11,1.5,1.5,99.0,132.0,75.0,1752.0,493.0,49.0,53.0,92.5,37.0,56.0,66.1,11.0,17.0,64.7,5.0,13.0,4.0,2.0,18.0,118.0,14.0,5.0,1.0,1.0,17.0,5.0,3.0,0.0,2.0,4.0,0.0,4.0,15.0,5.29,11.0,3.0,0.0,1.0,3.0,1.06,1.0,1.0,0.0,1.0,0.0,4.0,2.0,2.0,0.0,2.0,1.0,0.0,1.0,2.0,2.0,0.0,154.0,2.0,17.0,57.0,83.0,12.0,154.0,97.0,15.0,12.0,4.0,112.0,4.0,1.0,0.0,1.0,2.0,1.0,1.0,0.0,0.0,11.0,0.0,1.0,0.0
+Marin Pongračić,hr CRO,DF,Lecce,26-010,1997,4.0,4.0,360.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,169.0,203.0,83.3,3684.0,1589.0,33.0,42.0,78.6,115.0,126.0,91.3,20.0,30.0,66.7,1.0,9.0,0.0,0.0,14.0,184.0,18.0,18.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,5.0,1.25,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,3.0,1.0,0.0,7.0,4.0,3.0,5.0,20.0,0.0,241.0,45.0,130.0,105.0,10.0,3.0,241.0,152.0,4.0,3.0,0.0,144.0,2.0,1.0,0.0,7.0,2.0,0.0,0.0,0.0,0.0,17.0,10.0,2.0,83.3
+Stefan Posch,at AUT,DF,Bologna,26-130,1997,4.0,3.0,293.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.09,0.09,3.3,1.0,0.0,33.3,0.31,0.0,0.0,0.1,-0.3,-0.3,204.0,239.0,85.4,3386.0,1084.0,96.0,102.0,94.1,90.0,102.0,88.2,14.0,28.0,50.0,1.0,16.0,3.0,1.0,19.0,207.0,32.0,6.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,26.0,0.0,1.0,4.0,1.23,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,7.0,7.0,5.0,2.0,4.0,2.0,2.0,3.0,7.0,0.0,279.0,13.0,82.0,147.0,50.0,5.0,279.0,163.0,4.0,7.0,0.0,198.0,3.0,2.0,0.0,6.0,2.0,0.0,0.0,0.0,0.0,10.0,3.0,5.0,37.5
+Matteo Prati,it ITA,MF,Cagliari,19-267,2003,1.0,1.0,79.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,22.0,28.0,78.6,357.0,228.0,9.0,12.0,75.0,13.0,13.0,100.0,0.0,3.0,0.0,0.0,5.0,0.0,0.0,7.0,26.0,2.0,1.0,1.0,0.0,2.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,1.14,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,31.0,1.0,7.0,22.0,3.0,0.0,31.0,15.0,0.0,0.0,0.0,15.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0
+Ivan Provedel,it ITA,GK,Lazio,29-188,1994,4.0,4.0,360.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,120.0,134.0,89.6,2821.0,1844.0,32.0,32.0,100.0,51.0,51.0,100.0,37.0,51.0,72.5,0.0,1.0,1.0,0.0,0.0,110.0,24.0,9.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,146.0,111.0,144.0,2.0,0.0,0.0,146.0,92.0,0.0,0.0,0.0,80.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,7.0,1.0,0.0,100.0
+Christian Pulisic,us USA,FW,Milan,25-003,1998,4.0,4.0,293.0,2.0,0.0,0.0,0.0,0.0,0.0,0.61,0.0,0.61,0.61,0.61,1.0,1.0,0.3,0.3,3.3,4.0,0.0,80.0,1.23,0.4,0.5,0.2,1.0,1.0,102.0,118.0,86.4,1368.0,351.0,63.0,71.0,88.7,29.0,31.0,93.5,5.0,6.0,83.3,4.0,10.0,7.0,2.0,13.0,113.0,5.0,0.0,1.0,0.0,9.0,4.0,0.0,4.0,0.0,1.0,0.0,3.0,11.0,3.37,7.0,2.0,1.0,1.0,2.0,0.61,2.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,1.0,1.0,2.0,0.0,2.0,2.0,1.0,0.0,138.0,1.0,11.0,68.0,61.0,3.0,138.0,109.0,8.0,8.0,2.0,112.0,3.0,3.0,0.0,4.0,5.0,0.0,0.0,0.0,0.0,10.0,1.0,6.0,14.3
+Domingos Quina,pt POR,MF,Udinese,23-307,1999,2.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,13.0,10.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,1.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0
+Adrien Rabiot,fr FRA,MF,Juventus,28-171,1995,4.0,4.0,360.0,1.0,1.0,0.0,0.0,1.0,0.0,0.25,0.25,0.5,0.25,0.5,1.3,1.3,0.32,0.32,4.0,3.0,0.0,60.0,0.75,0.2,0.33,0.26,-0.3,-0.3,163.0,184.0,88.6,2450.0,517.0,88.0,95.0,92.6,61.0,69.0,88.4,10.0,11.0,90.9,7.0,14.0,2.0,0.0,16.0,179.0,5.0,2.0,1.0,2.0,3.0,0.0,0.0,0.0,0.0,3.0,0.0,4.0,11.0,2.75,10.0,0.0,1.0,0.0,1.0,0.25,1.0,0.0,0.0,0.0,0.0,12.0,6.0,5.0,5.0,2.0,6.0,1.0,5.0,5.0,5.0,0.0,227.0,6.0,39.0,124.0,68.0,14.0,227.0,134.0,7.0,10.0,2.0,149.0,4.0,1.0,0.0,6.0,2.0,2.0,0.0,0.0,0.0,26.0,4.0,3.0,57.1
+Uroš Račić,rs SRB,"MF,FW",Sassuolo,25-188,1998,2.0,0.0,35.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.06,0.06,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,9.0,11.0,81.8,156.0,36.0,4.0,5.0,80.0,5.0,5.0,100.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,10.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,15.0,2.0,4.0,7.0,4.0,0.0,15.0,5.0,0.0,0.0,0.0,8.0,1.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Nemanja Radonjić,rs SRB,MF,Torino,27-218,1996,4.0,2.0,207.0,3.0,0.0,0.0,0.0,0.0,0.0,1.3,0.0,1.3,1.3,1.3,1.6,1.6,0.68,0.68,2.3,4.0,0.0,44.4,1.74,0.33,0.75,0.17,1.4,1.4,32.0,47.0,68.1,467.0,91.0,19.0,26.0,73.1,9.0,12.0,75.0,2.0,5.0,40.0,1.0,2.0,2.0,1.0,4.0,46.0,0.0,0.0,0.0,1.0,6.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,5.0,2.17,2.0,0.0,2.0,0.0,1.0,0.43,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,2.0,0.0,2.0,0.0,0.0,0.0,81.0,0.0,9.0,23.0,49.0,9.0,81.0,55.0,6.0,2.0,3.0,62.0,9.0,3.0,0.0,0.0,3.0,3.0,0.0,0.0,0.0,8.0,0.0,2.0,0.0
+Boris Radunović,rs SRB,GK,Cagliari,27-118,1996,4.0,4.0,360.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,85.0,116.0,73.3,2989.0,2228.0,9.0,9.0,100.0,33.0,34.0,97.1,43.0,73.0,58.9,0.0,3.0,0.0,0.0,0.0,66.0,50.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,124.0,109.0,124.0,0.0,0.0,0.0,124.0,62.0,0.0,0.0,0.0,39.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,4.0,1.0,0.0,100.0
+Hamza Rafia,tn TUN,MF,Lecce,24-172,1999,4.0,4.0,250.0,1.0,0.0,0.0,0.0,1.0,0.0,0.36,0.0,0.36,0.36,0.36,0.2,0.2,0.07,0.07,2.8,1.0,0.0,25.0,0.36,0.25,1.0,0.05,0.8,0.8,80.0,113.0,70.8,1142.0,303.0,48.0,58.0,82.8,26.0,32.0,81.3,3.0,10.0,30.0,2.0,7.0,0.0,0.0,10.0,111.0,2.0,1.0,0.0,0.0,8.0,1.0,0.0,1.0,0.0,0.0,0.0,7.0,6.0,2.16,2.0,0.0,1.0,1.0,1.0,0.36,0.0,0.0,0.0,0.0,1.0,7.0,5.0,0.0,6.0,1.0,9.0,1.0,8.0,3.0,3.0,0.0,154.0,2.0,17.0,88.0,49.0,5.0,154.0,102.0,6.0,4.0,2.0,116.0,5.0,3.0,0.0,7.0,7.0,0.0,0.0,0.0,0.0,11.0,1.0,3.0,25.0
+Ylber Ramadani,al ALB,MF,Lecce,27-162,1996,4.0,4.0,360.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.12,0.12,4.0,2.0,0.0,18.2,0.5,0.0,0.0,0.05,-0.5,-0.5,120.0,148.0,81.1,2096.0,563.0,55.0,60.0,91.7,48.0,56.0,85.7,13.0,22.0,59.1,3.0,11.0,2.0,0.0,18.0,143.0,5.0,5.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,8.0,2.0,4.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,5.0,4.0,5.0,1.0,7.0,4.0,3.0,4.0,2.0,0.0,193.0,7.0,53.0,108.0,39.0,2.0,193.0,108.0,6.0,3.0,0.0,111.0,2.0,3.0,0.0,1.0,6.0,0.0,0.0,0.0,0.0,25.0,1.0,2.0,33.3
+Luca Ranieri,it ITA,DF,Fiorentina,24-151,1999,2.0,2.0,180.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,107.0,124.0,86.3,2281.0,879.0,33.0,38.0,86.8,53.0,58.0,91.4,19.0,26.0,73.1,1.0,5.0,0.0,0.0,2.0,122.0,2.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,5.0,0.0,135.0,9.0,75.0,59.0,2.0,0.0,135.0,93.0,0.0,2.0,0.0,103.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,0.0
+Giacomo Raspadori,it ITA,"FW,MF",Napoli,23-215,2000,4.0,2.0,230.0,1.0,0.0,0.0,1.0,0.0,0.0,0.39,0.0,0.39,0.39,0.39,1.6,0.8,0.61,0.3,2.6,4.0,0.0,36.4,1.57,0.09,0.25,0.07,-0.6,0.2,80.0,102.0,78.4,1432.0,246.0,34.0,40.0,85.0,33.0,39.0,84.6,10.0,15.0,66.7,4.0,4.0,0.0,0.0,5.0,97.0,4.0,1.0,2.0,3.0,5.0,2.0,1.0,1.0,0.0,1.0,1.0,2.0,11.0,4.29,8.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,3.0,2.0,3.0,2.0,2.0,0.0,2.0,1.0,1.0,0.0,132.0,2.0,11.0,59.0,63.0,18.0,131.0,83.0,5.0,6.0,1.0,105.0,6.0,3.0,0.0,3.0,2.0,1.0,0.0,0.0,0.0,6.0,3.0,2.0,60.0
+Tijjani Reijnders,nl NED,MF,Milan,25-054,1998,4.0,4.0,346.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.26,0.26,0.0,0.26,0.4,0.4,0.1,0.1,3.8,2.0,0.0,33.3,0.52,0.0,0.0,0.06,-0.4,-0.4,137.0,154.0,89.0,2094.0,613.0,74.0,78.0,94.9,47.0,54.0,87.0,9.0,14.0,64.3,4.0,13.0,4.0,1.0,18.0,137.0,17.0,9.0,2.0,1.0,8.0,7.0,5.0,0.0,0.0,0.0,0.0,1.0,13.0,3.38,10.0,3.0,0.0,0.0,3.0,0.78,3.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,6.0,1.0,5.0,1.0,4.0,0.0,183.0,9.0,21.0,101.0,65.0,8.0,183.0,126.0,6.0,6.0,1.0,137.0,7.0,7.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,16.0,0.0,3.0,0.0
+Mateo Retegui,it ITA,FW,Genoa,24-145,1999,4.0,4.0,323.0,2.0,0.0,0.0,0.0,2.0,0.0,0.56,0.0,0.56,0.56,0.56,0.9,0.9,0.26,0.26,3.6,6.0,0.0,85.7,1.67,0.29,0.33,0.13,1.1,1.1,38.0,56.0,67.9,451.0,43.0,28.0,35.0,80.0,5.0,9.0,55.6,2.0,2.0,100.0,1.0,0.0,0.0,0.0,1.0,51.0,4.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,4.0,1.12,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,2.0,0.0,2.0,0.0,1.0,0.0,90.0,1.0,10.0,41.0,40.0,7.0,90.0,42.0,2.0,2.0,0.0,63.0,9.0,5.0,0.0,4.0,2.0,1.0,0.0,0.0,0.0,5.0,11.0,13.0,45.8
+Samuele Ricci,it ITA,MF,Torino,22-031,2001,4.0,4.0,334.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.27,0.27,0.0,0.27,0.0,0.0,0.01,0.01,3.7,1.0,0.0,33.3,0.27,0.0,0.0,0.01,0.0,0.0,159.0,184.0,86.4,2644.0,762.0,73.0,80.0,91.3,70.0,75.0,93.3,12.0,19.0,63.2,4.0,17.0,3.0,0.0,21.0,168.0,16.0,12.0,0.0,1.0,8.0,4.0,3.0,0.0,0.0,0.0,0.0,5.0,9.0,2.43,7.0,1.0,1.0,0.0,1.0,0.27,0.0,0.0,1.0,0.0,0.0,3.0,2.0,2.0,1.0,0.0,2.0,0.0,2.0,3.0,2.0,0.0,201.0,4.0,32.0,127.0,43.0,1.0,201.0,132.0,5.0,2.0,0.0,134.0,3.0,3.0,0.0,7.0,2.0,1.0,0.0,0.0,0.0,24.0,2.0,1.0,66.7
+Ricardo Rodríguez,ch SUI,DF,Torino,31-027,1992,4.0,4.0,344.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,3.8,0.0,1.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,182.0,210.0,86.7,2897.0,1201.0,94.0,98.0,95.9,73.0,83.0,88.0,11.0,22.0,50.0,1.0,20.0,1.0,1.0,20.0,206.0,4.0,4.0,0.0,3.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,1.05,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,1.0,2.0,0.0,4.0,2.0,2.0,3.0,7.0,0.0,234.0,14.0,78.0,130.0,26.0,0.0,234.0,151.0,7.0,11.0,0.0,170.0,0.0,1.0,0.0,3.0,3.0,0.0,0.0,0.0,0.0,11.0,8.0,5.0,61.5
+Alessio Romagnoli,it ITA,DF,Lazio,28-252,1995,4.0,4.0,360.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,4.0,1.0,0.0,100.0,0.25,0.0,0.0,0.03,0.0,0.0,255.0,274.0,93.1,4162.0,1667.0,122.0,129.0,94.6,105.0,112.0,93.8,19.0,24.0,79.2,1.0,18.0,1.0,0.0,24.0,247.0,27.0,8.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,1.25,5.0,0.0,0.0,0.0,1.0,0.25,1.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,1.0,0.0,4.0,4.0,0.0,4.0,18.0,0.0,307.0,53.0,130.0,171.0,6.0,3.0,307.0,161.0,5.0,0.0,0.0,202.0,1.0,0.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,16.0,8.0,8.0,50.0
+Simone Romagnoli,it ITA,DF,Frosinone,33-224,1990,4.0,4.0,360.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.25,0.25,0.0,0.25,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,161.0,178.0,90.4,2644.0,1015.0,80.0,84.0,95.2,71.0,74.0,95.9,8.0,15.0,53.3,2.0,2.0,0.0,0.0,5.0,158.0,20.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.5,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,2.0,4.0,2.0,0.0,5.0,4.0,1.0,2.0,16.0,0.0,212.0,40.0,122.0,87.0,3.0,2.0,212.0,76.0,0.0,0.0,0.0,124.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,16.0,5.0,6.0,45.5
+Marten de Roon,nl NED,MF,Atalanta,32-176,1991,4.0,4.0,360.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,0.5,0.5,0.0,0.5,0.1,0.1,0.01,0.01,4.0,1.0,0.0,50.0,0.25,0.0,0.0,0.03,-0.1,-0.1,202.0,239.0,84.5,3902.0,1113.0,74.0,84.0,88.1,102.0,111.0,91.9,23.0,34.0,67.6,5.0,20.0,4.0,0.0,29.0,227.0,11.0,8.0,0.0,8.0,2.0,0.0,0.0,0.0,0.0,3.0,1.0,4.0,6.0,1.5,6.0,0.0,0.0,0.0,2.0,0.5,2.0,0.0,0.0,0.0,0.0,12.0,6.0,6.0,6.0,0.0,4.0,0.0,4.0,8.0,6.0,0.0,278.0,10.0,66.0,160.0,53.0,0.0,278.0,169.0,4.0,6.0,0.0,179.0,3.0,0.0,0.0,6.0,3.0,1.0,0.0,0.0,0.0,25.0,4.0,3.0,57.1
+Nicolò Rovella,it ITA,MF,Lazio,21-291,2001,1.0,0.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.14,0.14,0.5,0.0,1.0,0.0,0.0,0.0,0.0,0.07,-0.1,-0.1,37.0,39.0,94.9,570.0,133.0,18.0,18.0,100.0,17.0,17.0,100.0,1.0,1.0,100.0,0.0,3.0,0.0,0.0,4.0,38.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,4.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,46.0,2.0,8.0,30.0,8.0,0.0,46.0,21.0,2.0,1.0,0.0,33.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
+Amir Rrahmani,xk KVX,DF,Napoli,29-209,1994,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,228.0,259.0,88.0,4278.0,1464.0,88.0,92.0,95.7,112.0,122.0,91.8,27.0,41.0,65.9,1.0,16.0,0.0,0.0,13.0,251.0,7.0,5.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,8.0,2.67,6.0,0.0,1.0,0.0,2.0,0.67,2.0,0.0,0.0,0.0,0.0,3.0,3.0,1.0,2.0,0.0,3.0,0.0,3.0,4.0,4.0,0.0,276.0,21.0,105.0,163.0,8.0,6.0,276.0,201.0,0.0,0.0,0.0,208.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,25.0,6.0,2.0,75.0
+Ruan,br BRA,DF,Sassuolo,24-106,1999,3.0,3.0,270.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,88.0,101.0,87.1,1645.0,582.0,34.0,37.0,91.9,43.0,47.0,91.5,9.0,13.0,69.2,1.0,6.0,1.0,0.0,5.0,80.0,21.0,14.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.33,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,3.0,0.0,2.0,1.0,1.0,7.0,13.0,0.0,127.0,27.0,83.0,45.0,3.0,1.0,127.0,44.0,0.0,1.0,0.0,50.0,0.0,1.0,0.0,4.0,3.0,0.0,0.0,1.0,0.0,15.0,4.0,3.0,57.1
+Matteo Ruggeri,it ITA,DF,Atalanta,21-072,2002,4.0,4.0,323.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.56,0.56,0.0,0.56,0.0,0.0,0.0,0.0,3.6,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,152.0,184.0,82.6,2311.0,775.0,75.0,88.0,85.2,66.0,74.0,89.2,9.0,16.0,56.3,5.0,5.0,4.0,3.0,18.0,156.0,28.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0,0.0,28.0,0.0,1.0,12.0,3.34,11.0,1.0,0.0,0.0,5.0,1.39,4.0,1.0,0.0,0.0,0.0,3.0,1.0,1.0,1.0,1.0,8.0,0.0,8.0,2.0,5.0,0.0,213.0,5.0,50.0,71.0,93.0,3.0,213.0,132.0,5.0,4.0,1.0,141.0,4.0,1.0,0.0,4.0,2.0,1.0,0.0,0.0,0.0,15.0,1.0,9.0,10.0
+Mário Rui,pt POR,DF,Napoli,32-117,1991,3.0,1.0,97.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,1.1,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,60.0,81.0,74.1,1036.0,333.0,28.0,31.0,90.3,24.0,31.0,77.4,6.0,12.0,50.0,1.0,7.0,0.0,0.0,8.0,69.0,12.0,6.0,0.0,0.0,7.0,1.0,0.0,1.0,0.0,5.0,0.0,3.0,2.0,1.86,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,0.0,2.0,2.0,0.0,2.0,1.0,2.0,0.0,91.0,2.0,17.0,49.0,26.0,1.0,91.0,43.0,0.0,1.0,0.0,54.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0
+Stefano Sabelli,it ITA,"DF,MF",Genoa,30-251,1993,3.0,3.0,243.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,2.7,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,43.0,77.0,55.8,803.0,361.0,22.0,30.0,73.3,15.0,28.0,53.6,6.0,18.0,33.3,0.0,4.0,1.0,0.0,4.0,65.0,12.0,1.0,0.0,2.0,5.0,0.0,0.0,0.0,0.0,11.0,0.0,1.0,2.0,0.74,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,1.0,0.0,1.0,4.0,7.0,0.0,104.0,12.0,44.0,46.0,15.0,1.0,104.0,47.0,3.0,1.0,1.0,57.0,6.0,1.0,0.0,6.0,5.0,1.0,0.0,0.0,0.0,14.0,0.0,0.0,0.0
+Lazar Samardzic,rs SRB,MF,Udinese,21-209,2002,4.0,3.0,303.0,1.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.3,0.3,0.3,0.3,0.3,0.1,0.1,3.4,4.0,2.0,57.1,1.19,0.14,0.25,0.05,0.7,0.7,115.0,151.0,76.2,2068.0,595.0,53.0,64.0,82.8,32.0,41.0,78.0,22.0,32.0,68.8,9.0,14.0,3.0,1.0,10.0,134.0,16.0,3.0,2.0,3.0,10.0,11.0,3.0,4.0,0.0,2.0,1.0,3.0,20.0,5.94,10.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,0.0,177.0,1.0,27.0,88.0,65.0,3.0,177.0,109.0,9.0,5.0,1.0,120.0,7.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,20.0,1.0,3.0,25.0
+Junior Sambia,fr FRA,MF,Salernitana,27-014,1996,1.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,6.0,83.3,69.0,23.0,3.0,3.0,100.0,2.0,2.0,100.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,11.0,3.0,5.0,2.0,4.0,0.0,11.0,6.0,0.0,1.0,0.0,6.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,50.0
+Antonio Sanabria,py PAR,FW,Torino,27-201,1996,2.0,2.0,107.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.09,0.09,1.2,1.0,0.0,100.0,0.84,0.0,0.0,0.11,-0.1,-0.1,18.0,30.0,60.0,254.0,12.0,13.0,18.0,72.2,5.0,7.0,71.4,0.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,28.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.84,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,38.0,0.0,1.0,19.0,18.0,3.0,38.0,20.0,0.0,0.0,0.0,31.0,2.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,3.0,9.0,25.0
+Renato Sanches,pt POR,MF,Roma,26-034,1997,2.0,1.0,71.0,1.0,0.0,0.0,0.0,1.0,0.0,1.27,0.0,1.27,1.27,1.27,0.1,0.1,0.1,0.1,0.8,1.0,0.0,50.0,1.27,0.5,1.0,0.04,0.9,0.9,30.0,32.0,93.8,446.0,105.0,17.0,17.0,100.0,12.0,13.0,92.3,1.0,2.0,50.0,3.0,2.0,2.0,1.0,4.0,32.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,6.34,5.0,0.0,0.0,0.0,1.0,1.27,1.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,44.0,0.0,10.0,16.0,19.0,3.0,44.0,27.0,3.0,3.0,1.0,32.0,2.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,2.0,0.0
+Alex Sandro,br BRA,DF,Juventus,32-238,1991,2.0,2.0,180.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,143.0,167.0,85.6,2364.0,821.0,67.0,72.0,93.1,64.0,67.0,95.5,12.0,24.0,50.0,2.0,16.0,5.0,2.0,18.0,145.0,21.0,6.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,13.0,1.0,1.0,2.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,2.0,0.0,2.0,1.0,1.0,5.0,5.0,0.0,182.0,13.0,45.0,109.0,28.0,2.0,182.0,109.0,7.0,4.0,0.0,126.0,2.0,3.0,0.0,4.0,3.0,0.0,0.0,0.0,0.0,13.0,2.0,1.0,66.7
+Riccardo Saponara,it ITA,"FW,MF",Hellas Verona,31-274,1991,2.0,0.0,25.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.06,0.06,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,10.0,11.0,90.9,139.0,18.0,6.0,7.0,85.7,4.0,4.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,15.0,0.0,3.0,8.0,6.0,0.0,15.0,12.0,3.0,3.0,0.0,10.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
+Giorgio Scalvini,it ITA,DF,Atalanta,19-284,2003,4.0,4.0,360.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.1,0.1,4.0,1.0,0.0,50.0,0.25,0.0,0.0,0.2,-0.4,-0.4,178.0,205.0,86.8,2877.0,933.0,79.0,85.0,92.9,88.0,98.0,89.8,6.0,13.0,46.2,0.0,4.0,0.0,0.0,7.0,197.0,8.0,6.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,2.0,0.5,1.0,0.0,1.0,0.0,1.0,0.25,0.0,0.0,1.0,0.0,0.0,14.0,8.0,10.0,4.0,0.0,12.0,5.0,7.0,11.0,14.0,0.0,261.0,23.0,140.0,106.0,20.0,5.0,261.0,136.0,5.0,3.0,1.0,138.0,3.0,1.0,0.0,4.0,0.0,1.0,0.0,0.0,0.0,32.0,14.0,8.0,63.6
+Gianluca Scamacca,it ITA,FW,Atalanta,24-263,1999,4.0,1.0,165.0,2.0,0.0,0.0,0.0,0.0,0.0,1.09,0.0,1.09,1.09,1.09,0.9,0.9,0.47,0.47,1.8,3.0,0.0,33.3,1.64,0.22,0.67,0.1,1.1,1.1,41.0,61.0,67.2,807.0,135.0,17.0,29.0,58.6,11.0,14.0,78.6,10.0,11.0,90.9,2.0,4.0,1.0,0.0,4.0,57.0,3.0,1.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,7.0,3.84,7.0,0.0,0.0,0.0,1.0,0.55,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,1.0,1.0,0.0,89.0,1.0,3.0,40.0,47.0,14.0,89.0,67.0,5.0,1.0,1.0,78.0,5.0,7.0,0.0,3.0,4.0,1.0,0.0,0.0,0.0,2.0,5.0,6.0,45.5
+Perr Schuurs,nl NED,DF,Torino,23-299,1999,4.0,4.0,360.0,1.0,0.0,0.0,0.0,1.0,0.0,0.25,0.0,0.25,0.25,0.25,0.6,0.6,0.16,0.16,4.0,1.0,0.0,25.0,0.25,0.25,1.0,0.16,0.4,0.4,141.0,163.0,86.5,2495.0,698.0,54.0,60.0,90.0,76.0,82.0,92.7,9.0,18.0,50.0,0.0,6.0,0.0,0.0,9.0,153.0,10.0,8.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,1.0,0.25,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,5.0,5.0,3.0,1.0,5.0,0.0,5.0,5.0,8.0,0.0,204.0,20.0,90.0,98.0,21.0,3.0,204.0,109.0,6.0,4.0,0.0,112.0,6.0,2.0,0.0,4.0,0.0,0.0,0.0,1.0,0.0,23.0,3.0,4.0,42.9
+Demba Seck,sn SEN,MF,Torino,22-223,2001,2.0,1.0,104.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.09,0.09,1.2,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,26.0,34.0,76.5,431.0,91.0,12.0,17.0,70.6,12.0,14.0,85.7,2.0,2.0,100.0,0.0,4.0,2.0,0.0,3.0,34.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.73,1.0,0.0,0.0,1.0,1.0,0.87,1.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,51.0,1.0,4.0,25.0,24.0,3.0,51.0,39.0,5.0,5.0,1.0,37.0,3.0,3.0,0.0,4.0,5.0,0.0,0.0,0.0,0.0,7.0,2.0,4.0,33.3
+Vivaldo Semedo,pt POR,FW,Udinese,18-236,2005,1.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,2.0,1.0,1.0,3.0,3.0,1.0,0.0,1.0,3.0,1.0,2.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Stefano Sensi,it ITA,MF,Inter,28-047,1995,1.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,12.0,83.3,190.0,34.0,4.0,4.0,100.0,5.0,7.0,71.4,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,1.0,3.0,8.0,1.0,0.0,12.0,10.0,1.0,1.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Suat Serdar,de GER,MF,Hellas Verona,26-163,1997,3.0,0.0,104.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,27.0,77.8,362.0,87.0,9.0,9.0,100.0,9.0,12.0,75.0,2.0,2.0,100.0,0.0,2.0,0.0,0.0,3.0,26.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,1.0,2.0,1.0,0.0,0.0,0.0,2.0,2.0,0.0,39.0,4.0,10.0,20.0,9.0,0.0,39.0,19.0,0.0,0.0,0.0,22.0,3.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,4.0,20.0
+Stephan El Shaarawy,it ITA,"FW,DF",Roma,30-329,1992,4.0,2.0,212.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.14,0.14,2.4,2.0,1.0,40.0,0.85,0.0,0.0,0.06,-0.3,-0.3,63.0,76.0,82.9,1030.0,161.0,40.0,48.0,83.3,15.0,18.0,83.3,7.0,7.0,100.0,3.0,1.0,2.0,1.0,5.0,75.0,1.0,0.0,0.0,4.0,3.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,7.0,2.96,6.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,92.0,1.0,5.0,45.0,43.0,6.0,92.0,71.0,6.0,1.0,4.0,79.0,2.0,1.0,0.0,2.0,4.0,1.0,0.0,0.0,0.0,5.0,1.0,2.0,33.3
+Eldor Shomurodov,uz UZB,FW,Cagliari,28-084,1995,4.0,0.0,111.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,26.0,33.0,78.8,332.0,60.0,18.0,23.0,78.3,7.0,9.0,77.8,1.0,1.0,100.0,1.0,4.0,1.0,0.0,3.0,31.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.43,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,43.0,0.0,2.0,26.0,17.0,4.0,43.0,34.0,4.0,2.0,2.0,35.0,5.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,6.0,0.0,3.0,0.0
+Steven Shpendi,al ALB,"FW,MF",Empoli,20-125,2003,3.0,0.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.03,0.5,1.0,0.0,100.0,2.0,0.0,0.0,0.02,0.0,0.0,7.0,11.0,63.6,85.0,26.0,6.0,7.0,85.7,1.0,1.0,100.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,9.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,4.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,17.0,0.0,1.0,11.0,5.0,0.0,17.0,12.0,0.0,0.0,0.0,9.0,0.0,2.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,0.0
+Marco Silvestri,it ITA,GK,Udinese,32-203,1991,4.0,4.0,360.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,98.0,126.0,77.8,2459.0,1735.0,20.0,21.0,95.2,56.0,57.0,98.2,22.0,48.0,45.8,0.0,0.0,0.0,0.0,0.0,82.0,44.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.25,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,134.0,118.0,134.0,0.0,0.0,0.0,134.0,65.0,0.0,0.0,0.0,51.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0
+Giovanni Simeone,ar ARG,"FW,MF",Napoli,28-078,1995,3.0,0.0,24.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.41,0.41,0.3,2.0,0.0,100.0,7.5,0.0,0.0,0.06,-0.1,-0.1,7.0,10.0,70.0,93.0,39.0,4.0,4.0,100.0,2.0,2.0,100.0,0.0,0.0,0.0,1.0,2.0,1.0,0.0,4.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,7.5,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,2.0,0.0,2.0,0.0,0.0,0.0,17.0,0.0,0.0,6.0,11.0,5.0,17.0,11.0,2.0,1.0,1.0,13.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,100.0
+Leo Skiri Østigård,no NOR,DF,Napoli,23-297,1999,3.0,1.0,92.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,102.0,117.0,87.2,1724.0,648.0,41.0,44.0,93.2,55.0,61.0,90.2,4.0,8.0,50.0,1.0,9.0,1.0,0.0,11.0,116.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,1.0,0.98,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,123.0,7.0,26.0,86.0,12.0,1.0,123.0,87.0,7.0,4.0,0.0,89.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,10.0,3.0,0.0,100.0
+Łukasz Skorupski,pl POL,GK,Bologna,32-139,1991,4.0,4.0,360.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,98.0,129.0,76.0,2569.0,2009.0,25.0,25.0,100.0,43.0,43.0,100.0,30.0,60.0,50.0,0.0,0.0,0.0,0.0,0.0,95.0,33.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,135.0,124.0,135.0,0.0,0.0,0.0,135.0,73.0,0.0,0.0,0.0,72.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
+Chris Smalling,eng ENG,DF,Roma,33-303,1989,3.0,3.0,244.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,2.7,1.0,0.0,100.0,0.37,0.0,0.0,0.05,0.0,0.0,138.0,156.0,88.5,2681.0,1000.0,43.0,51.0,84.3,85.0,89.0,95.5,9.0,13.0,69.2,1.0,6.0,0.0,0.0,10.0,152.0,4.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.37,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,4.0,3.0,0.0,174.0,11.0,70.0,93.0,11.0,6.0,174.0,107.0,1.0,2.0,0.0,120.0,1.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,17.0,13.0,3.0,81.3
+Ola Solbakken,no NOR,FW,Roma,25-014,1998,1.0,0.0,23.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,8.0,75.0,96.0,4.0,4.0,5.0,80.0,1.0,1.0,100.0,1.0,1.0,100.0,0.0,1.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.91,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,2.0,2.0,4.0,0.0,8.0,5.0,1.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,0.0
+Yann Sommer,ch SUI,GK,Inter,34-278,1988,4.0,4.0,360.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,122.0,142.0,85.9,3266.0,2223.0,22.0,22.0,100.0,60.0,61.0,98.4,38.0,56.0,67.9,0.0,1.0,0.0,0.0,0.0,106.0,35.0,6.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.25,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,145.0,123.0,145.0,0.0,0.0,0.0,145.0,95.0,0.0,0.0,0.0,83.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Brandon Soppy,fr FRA,DF,Torino,21-212,2002,1.0,0.0,23.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,14.0,78.6,154.0,43.0,6.0,6.0,100.0,3.0,4.0,75.0,1.0,3.0,33.3,0.0,0.0,0.0,0.0,0.0,13.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,2.0,5.0,8.0,4.0,0.0,17.0,12.0,1.0,1.0,0.0,10.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0
+Alessandro Sorrentino,it ITA,GK,Monza,21-171,2002,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,25.0,27.0,92.6,491.0,347.0,10.0,10.0,100.0,11.0,12.0,91.7,4.0,5.0,80.0,0.0,0.0,0.0,0.0,0.0,25.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28.0,22.0,27.0,1.0,0.0,0.0,28.0,23.0,0.0,0.0,0.0,17.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Riccardo Sottil,it ITA,FW,Fiorentina,24-110,1999,3.0,1.0,128.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.24,0.24,1.4,3.0,1.0,100.0,2.11,0.0,0.0,0.11,-0.3,-0.3,34.0,42.0,81.0,491.0,116.0,19.0,19.0,100.0,12.0,13.0,92.3,1.0,1.0,100.0,0.0,3.0,0.0,0.0,4.0,42.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,2.0,1.41,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,55.0,0.0,3.0,23.0,32.0,7.0,55.0,45.0,9.0,5.0,2.0,44.0,2.0,2.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,7.0,0.0,1.0,0.0
+Matìas Soulé,ar ARG,"MF,FW",Frosinone,20-159,2003,2.0,2.0,153.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.59,0.59,0.0,0.59,0.6,0.6,0.35,0.35,1.7,0.0,0.0,0.0,0.0,0.0,0.0,0.15,-0.6,-0.6,65.0,85.0,76.5,1047.0,320.0,38.0,44.0,86.4,17.0,24.0,70.8,8.0,9.0,88.9,4.0,6.0,2.0,0.0,11.0,76.0,6.0,2.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,3.0,3.0,1.0,9.0,5.29,6.0,1.0,0.0,0.0,1.0,0.59,0.0,1.0,0.0,0.0,0.0,6.0,5.0,4.0,2.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,109.0,3.0,19.0,44.0,50.0,6.0,109.0,71.0,8.0,10.0,1.0,79.0,5.0,2.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,12.0,1.0,1.0,50.0
+Leonardo Spinazzola,it ITA,"DF,FW",Roma,30-180,1993,4.0,2.0,213.0,1.0,0.0,0.0,0.0,0.0,0.0,0.42,0.0,0.42,0.42,0.42,0.1,0.1,0.03,0.03,2.4,1.0,0.0,50.0,0.42,0.5,1.0,0.03,0.9,0.9,115.0,145.0,79.3,2017.0,542.0,54.0,59.0,91.5,49.0,58.0,84.5,11.0,22.0,50.0,5.0,6.0,6.0,2.0,10.0,123.0,21.0,1.0,0.0,2.0,14.0,0.0,0.0,0.0,0.0,20.0,1.0,3.0,12.0,5.09,10.0,1.0,0.0,0.0,2.0,0.85,1.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,2.0,0.0,2.0,0.0,2.0,1.0,3.0,0.0,167.0,5.0,47.0,69.0,52.0,4.0,167.0,110.0,26.0,14.0,3.0,112.0,3.0,1.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,14.0,3.0,0.0,100.0
+Gabriel Strefezza,br BRA,FW,Lecce,26-156,1997,4.0,2.0,212.0,1.0,0.0,1.0,1.0,1.0,0.0,0.42,0.0,0.42,0.0,0.0,1.2,0.4,0.52,0.18,2.4,1.0,1.0,16.7,0.42,0.0,0.0,0.07,-0.2,-0.4,51.0,72.0,70.8,853.0,251.0,29.0,32.0,90.6,14.0,24.0,58.3,7.0,12.0,58.3,9.0,1.0,5.0,3.0,7.0,50.0,21.0,7.0,0.0,0.0,14.0,8.0,3.0,0.0,0.0,1.0,1.0,0.0,15.0,6.37,11.0,2.0,1.0,1.0,1.0,0.42,1.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,4.0,0.0,4.0,0.0,4.0,0.0,102.0,3.0,8.0,28.0,68.0,10.0,101.0,57.0,11.0,8.0,2.0,61.0,5.0,5.0,0.0,7.0,5.0,0.0,0.0,0.0,0.0,5.0,0.0,2.0,0.0
+Kevin Strootman,nl NED,MF,Genoa,33-220,1990,3.0,3.0,202.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.45,0.45,0.0,0.45,0.0,0.0,0.0,0.0,2.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,53.0,67.0,79.1,899.0,240.0,28.0,32.0,87.5,20.0,22.0,90.9,4.0,8.0,50.0,4.0,4.0,0.0,0.0,8.0,65.0,2.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,5.0,2.23,5.0,0.0,0.0,0.0,1.0,0.45,1.0,0.0,0.0,0.0,0.0,8.0,3.0,4.0,4.0,0.0,5.0,1.0,4.0,1.0,4.0,0.0,91.0,7.0,29.0,54.0,8.0,1.0,91.0,44.0,2.0,1.0,0.0,54.0,2.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,10.0,1.0,1.0,50.0
+Isaac Success,ng NGA,FW,Udinese,27-257,1996,3.0,0.0,65.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.42,0.42,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.31,-0.3,-0.3,9.0,11.0,81.8,158.0,18.0,4.0,4.0,100.0,3.0,3.0,100.0,1.0,2.0,50.0,1.0,0.0,1.0,0.0,2.0,10.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,2.77,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,19.0,1.0,1.0,6.0,13.0,3.0,19.0,15.0,1.0,1.0,0.0,19.0,3.0,4.0,0.0,4.0,4.0,0.0,0.0,0.0,0.0,1.0,2.0,3.0,40.0
+Ibrahim Sulemana,gh GHA,MF,Cagliari,20-122,2003,3.0,3.0,264.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.05,0.05,2.9,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.1,-0.1,78.0,105.0,74.3,1479.0,258.0,31.0,37.0,83.8,36.0,41.0,87.8,10.0,17.0,58.8,1.0,5.0,1.0,1.0,5.0,104.0,1.0,1.0,0.0,3.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,1.0,0.34,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,4.0,1.0,0.0,6.0,1.0,5.0,1.0,5.0,0.0,135.0,10.0,47.0,69.0,23.0,2.0,135.0,70.0,4.0,2.0,0.0,66.0,2.0,2.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,30.0,0.0,4.0,0.0
+Tomáš Suslov,sk SVK,MF,Hellas Verona,21-106,2002,1.0,0.0,21.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.15,0.15,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,2.0,4.0,50.0,26.0,7.0,1.0,2.0,50.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,1.0,4.0,4.0,0.0,9.0,3.0,0.0,1.0,0.0,3.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Wojciech Szczęsny,pl POL,GK,Juventus,33-156,1990,2.0,2.0,180.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,50.0,66.0,75.8,1430.0,1012.0,10.0,10.0,100.0,23.0,23.0,100.0,17.0,33.0,51.5,0.0,0.0,0.0,0.0,0.0,55.0,11.0,5.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,73.0,63.0,73.0,0.0,0.0,0.0,73.0,43.0,0.0,0.0,0.0,39.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
+Przemysław Szymiński,pl POL,MF,Frosinone,29-089,1994,1.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,50.0,9.0,10.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,3.0,1.0,3.0,0.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Adrien Tameze,cm CMR,MF,Torino,29-229,1994,2.0,2.0,153.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,1.7,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,63.0,75.0,84.0,958.0,253.0,35.0,37.0,94.6,23.0,29.0,79.3,3.0,5.0,60.0,1.0,5.0,1.0,0.0,8.0,73.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.59,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,0.0,2.0,1.0,6.0,2.0,4.0,4.0,0.0,0.0,93.0,2.0,12.0,58.0,26.0,2.0,93.0,46.0,2.0,2.0,1.0,57.0,1.0,2.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,10.0,2.0,2.0,50.0
+Loum Tchaouna,fr FRA,"MF,FW",Salernitana,20-013,2003,2.0,0.0,56.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,29.0,58.6,240.0,69.0,9.0,15.0,60.0,7.0,8.0,87.5,1.0,1.0,100.0,1.0,1.0,0.0,0.0,4.0,27.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,1.0,1.0,3.0,1.0,1.61,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,35.0,2.0,6.0,12.0,18.0,5.0,35.0,25.0,2.0,3.0,2.0,25.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,3.0,25.0
+Filippo Terracciano,it ITA,DF,Hellas Verona,20-225,2003,4.0,2.0,186.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,2.1,1.0,0.0,100.0,0.48,0.0,0.0,0.02,0.0,0.0,51.0,74.0,68.9,921.0,499.0,22.0,27.0,81.5,23.0,33.0,69.7,5.0,12.0,41.7,2.0,8.0,2.0,2.0,5.0,56.0,18.0,1.0,0.0,1.0,4.0,1.0,0.0,0.0,0.0,16.0,0.0,1.0,6.0,2.9,3.0,0.0,1.0,1.0,1.0,0.48,0.0,0.0,1.0,0.0,0.0,7.0,5.0,6.0,1.0,0.0,6.0,0.0,6.0,2.0,2.0,0.0,100.0,5.0,31.0,45.0,25.0,0.0,100.0,50.0,3.0,3.0,0.0,50.0,1.0,5.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,8.0,6.0,2.0,75.0
+Pietro Terracciano,it ITA,GK,Fiorentina,33-197,1990,2.0,2.0,180.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,85.0,94.0,90.4,2562.0,1700.0,6.0,6.0,100.0,46.0,46.0,100.0,33.0,42.0,78.6,1.0,1.0,1.0,0.0,0.0,81.0,13.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.5,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,96.0,83.0,96.0,0.0,0.0,0.0,96.0,63.0,0.0,0.0,0.0,61.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
+Florian Thauvin,fr FRA,FW,Udinese,30-238,1993,4.0,4.0,313.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.28,0.28,3.5,4.0,1.0,36.4,1.15,0.0,0.0,0.09,-1.0,-1.0,72.0,93.0,77.4,1320.0,413.0,35.0,42.0,83.3,25.0,33.0,75.8,10.0,12.0,83.3,4.0,11.0,5.0,3.0,14.0,85.0,8.0,0.0,0.0,0.0,6.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,12.0,3.45,9.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,1.0,2.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,138.0,1.0,3.0,63.0,74.0,17.0,138.0,80.0,8.0,6.0,4.0,93.0,7.0,7.0,0.0,3.0,2.0,1.0,0.0,0.0,0.0,10.0,6.0,6.0,50.0
+Malick Thiaw,de GER,DF,Milan,22-044,2001,4.0,4.0,345.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,3.8,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,236.0,252.0,93.7,4415.0,1335.0,78.0,81.0,96.3,141.0,144.0,97.9,15.0,22.0,68.2,1.0,6.0,1.0,0.0,18.0,245.0,7.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,0.78,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,5.0,2.0,4.0,0.0,6.0,2.0,4.0,4.0,13.0,0.0,286.0,27.0,144.0,137.0,6.0,0.0,286.0,197.0,5.0,2.0,0.0,216.0,1.0,1.0,0.0,6.0,2.0,0.0,0.0,0.0,0.0,18.0,5.0,1.0,83.3
+Morten Thorsby,no NOR,MF,Genoa,27-139,1996,4.0,1.0,158.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.05,0.05,1.8,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,25.0,52.0,48.1,411.0,143.0,10.0,24.0,41.7,11.0,17.0,64.7,1.0,4.0,25.0,0.0,4.0,1.0,0.0,7.0,52.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,1.14,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,2.0,1.0,0.0,6.0,0.0,6.0,1.0,5.0,0.0,78.0,6.0,13.0,43.0,22.0,1.0,78.0,26.0,0.0,1.0,0.0,45.0,4.0,2.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,6.0,13.0,7.0,65.0
+Kristian Thorstvedt,no NOR,MF,Sassuolo,24-192,1999,4.0,1.0,146.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.12,0.12,1.6,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.2,-0.2,65.0,83.0,78.3,1143.0,530.0,35.0,41.0,85.4,23.0,28.0,82.1,7.0,9.0,77.8,7.0,16.0,1.0,0.0,20.0,82.0,1.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,14.0,8.63,11.0,0.0,2.0,0.0,1.0,0.62,0.0,0.0,1.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,2.0,1.0,1.0,2.0,3.0,0.0,100.0,6.0,15.0,58.0,28.0,5.0,100.0,54.0,3.0,2.0,1.0,78.0,3.0,2.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,8.0,6.0,4.0,60.0
+Marcus Thuram,fr FRA,FW,Inter,26-046,1997,4.0,4.0,274.0,2.0,2.0,0.0,0.0,0.0,0.0,0.66,0.66,1.31,0.66,1.31,1.8,1.8,0.59,0.59,3.0,4.0,0.0,36.4,1.31,0.18,0.5,0.16,0.2,0.2,40.0,53.0,75.5,508.0,128.0,20.0,27.0,74.1,12.0,16.0,75.0,1.0,3.0,33.3,3.0,2.0,1.0,0.0,7.0,53.0,0.0,0.0,2.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,3.94,5.0,0.0,2.0,5.0,5.0,1.64,4.0,0.0,0.0,1.0,0.0,2.0,1.0,2.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,88.0,1.0,4.0,34.0,51.0,25.0,88.0,56.0,9.0,5.0,7.0,72.0,8.0,4.0,0.0,2.0,7.0,0.0,1.0,0.0,0.0,7.0,5.0,6.0,45.5
+Jeremy Toljan,de GER,DF,Sassuolo,29-044,1994,4.0,4.0,360.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.0,0.5,0.1,0.1,0.03,0.03,4.0,1.0,0.0,50.0,0.25,0.0,0.0,0.06,-0.1,-0.1,135.0,172.0,78.5,2141.0,990.0,69.0,73.0,94.5,52.0,68.0,76.5,9.0,21.0,42.9,3.0,7.0,2.0,0.0,12.0,134.0,37.0,4.0,0.0,0.0,9.0,1.0,0.0,0.0,0.0,32.0,1.0,4.0,5.0,1.25,5.0,0.0,0.0,0.0,2.0,0.5,2.0,0.0,0.0,0.0,0.0,4.0,2.0,2.0,1.0,1.0,2.0,0.0,2.0,2.0,6.0,0.0,197.0,9.0,72.0,84.0,41.0,6.0,197.0,90.0,10.0,6.0,2.0,116.0,5.0,3.0,0.0,1.0,2.0,0.0,0.0,1.0,0.0,20.0,1.0,3.0,25.0
+Rafael Tolói,it ITA,DF,Atalanta,32-346,1990,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,36.0,48.0,75.0,676.0,261.0,17.0,18.0,94.4,14.0,17.0,82.4,5.0,9.0,55.6,0.0,3.0,1.0,0.0,3.0,40.0,8.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,0.0,4.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,55.0,6.0,23.0,27.0,5.0,0.0,55.0,31.0,0.0,0.0,0.0,33.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0
+Fikayo Tomori,eng ENG,DF,Milan,25-276,1997,3.0,3.0,240.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,2.7,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,208.0,221.0,94.1,3569.0,989.0,81.0,87.0,93.1,116.0,118.0,98.3,11.0,15.0,73.3,0.0,2.0,0.0,0.0,4.0,208.0,13.0,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,2.0,1.0,1.0,5.0,4.0,0.0,237.0,27.0,153.0,81.0,3.0,1.0,237.0,159.0,1.0,2.0,0.0,181.0,1.0,0.0,1.0,6.0,0.0,0.0,0.0,0.0,0.0,18.0,4.0,4.0,50.0
+Ahmed Touba,dz ALG,FW,Lecce,25-193,1998,1.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.19,0.19,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,1.0,3.0,33.3,28.0,0.0,0.0,0.0,0.0,1.0,2.0,50.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,7.0,2.0,4.0,2.0,1.0,1.0,7.0,3.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Stefano Turati,it ITA,GK,Frosinone,22-016,2001,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,80.0,109.0,73.4,1560.0,1232.0,40.0,40.0,100.0,24.0,25.0,96.0,14.0,42.0,33.3,0.0,1.0,0.0,0.0,0.0,93.0,16.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,120.0,111.0,119.0,1.0,0.0,0.0,120.0,77.0,0.0,0.0,0.0,63.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Kacper Urbanski,pl POL,MF,Bologna,19-014,2004,2.0,0.0,28.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.12,0.12,0.3,1.0,0.0,100.0,3.21,0.0,0.0,0.04,0.0,0.0,13.0,15.0,86.7,213.0,33.0,7.0,8.0,87.5,2.0,3.0,66.7,2.0,2.0,100.0,0.0,1.0,0.0,0.0,1.0,15.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,18.0,1.0,3.0,11.0,6.0,2.0,18.0,14.0,1.0,1.0,0.0,14.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
+Johan Vásquez,mx MEX,DF,Genoa,24-334,1998,4.0,2.0,212.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,66.0,90.0,73.3,1277.0,537.0,26.0,29.0,89.7,32.0,35.0,91.4,8.0,21.0,38.1,0.0,5.0,0.0,0.0,4.0,74.0,16.0,3.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,13.0,0.0,3.0,1.0,0.42,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,3.0,1.0,0.0,6.0,0.0,6.0,3.0,14.0,0.0,123.0,14.0,49.0,58.0,17.0,1.0,123.0,58.0,3.0,3.0,0.0,64.0,3.0,2.0,0.0,2.0,5.0,0.0,0.0,0.0,0.0,12.0,3.0,1.0,75.0
+Matías Vecino,uy URU,MF,Lazio,32-028,1991,2.0,0.0,61.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.32,0.32,0.7,1.0,0.0,33.3,1.48,0.0,0.0,0.07,-0.2,-0.2,23.0,30.0,76.7,391.0,136.0,12.0,16.0,75.0,9.0,11.0,81.8,2.0,2.0,100.0,0.0,5.0,0.0,0.0,5.0,28.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,1.48,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,0.0,3.0,0.0,2.0,1.0,1.0,0.0,0.0,0.0,39.0,1.0,3.0,22.0,14.0,2.0,39.0,21.0,1.0,2.0,0.0,20.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,4.0,42.9
+Simone Verdi,it ITA,FW,Torino,31-071,1992,1.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,7.0,5.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,22.5,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Samuele Vignato,it ITA,MF,Monza,19-209,2004,2.0,0.0,40.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.97,0.97,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.43,-0.4,-0.4,20.0,21.0,95.2,194.0,14.0,17.0,18.0,94.4,2.0,2.0,100.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,20.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,2.25,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,25.0,0.0,0.0,16.0,9.0,1.0,25.0,16.0,1.0,0.0,0.0,23.0,1.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0
+Matías Viña,uy URU,DF,Sassuolo,25-316,1997,4.0,4.0,221.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.41,0.41,0.0,0.41,0.0,0.0,0.02,0.02,2.5,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,84.0,121.0,69.4,1417.0,743.0,42.0,48.0,87.5,36.0,49.0,73.5,6.0,18.0,33.3,2.0,6.0,3.0,0.0,11.0,98.0,23.0,6.0,1.0,0.0,8.0,0.0,0.0,0.0,0.0,17.0,0.0,6.0,5.0,2.04,4.0,1.0,0.0,0.0,2.0,0.81,2.0,0.0,0.0,0.0,0.0,7.0,6.0,7.0,0.0,0.0,4.0,0.0,4.0,5.0,9.0,0.0,157.0,11.0,75.0,48.0,34.0,5.0,157.0,69.0,7.0,3.0,1.0,88.0,4.0,4.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,10.0,2.0,5.0,28.6
+Mattia Viti,it ITA,DF,Sassuolo,21-240,2002,1.0,1.0,76.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,30.0,30.0,100.0,483.0,126.0,13.0,13.0,100.0,16.0,16.0,100.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,23.0,7.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,2.0,1.0,4.0,0.0,38.0,13.0,28.0,11.0,0.0,0.0,38.0,17.0,0.0,0.0,0.0,19.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0
+Dušan Vlahović,rs SRB,FW,Juventus,23-236,2000,4.0,4.0,327.0,4.0,1.0,1.0,2.0,2.0,0.0,1.1,0.28,1.38,0.83,1.1,2.5,0.9,0.69,0.26,3.6,6.0,0.0,54.5,1.65,0.27,0.5,0.08,1.5,2.1,42.0,64.0,65.6,600.0,97.0,24.0,30.0,80.0,15.0,22.0,68.2,1.0,5.0,20.0,2.0,1.0,1.0,0.0,6.0,57.0,6.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,10.0,2.76,8.0,0.0,1.0,1.0,2.0,0.55,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,91.0,2.0,7.0,40.0,44.0,22.0,89.0,55.0,4.0,3.0,3.0,65.0,7.0,2.0,0.0,4.0,4.0,3.0,0.0,0.0,0.0,7.0,2.0,1.0,66.7
+Nikola Vlašić,hr CRO,MF,Torino,25-352,1997,3.0,3.0,220.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.09,0.09,2.4,0.0,1.0,0.0,0.0,0.0,0.0,0.06,-0.2,-0.2,59.0,85.0,69.4,849.0,228.0,31.0,40.0,77.5,22.0,28.0,78.6,2.0,4.0,50.0,0.0,9.0,0.0,0.0,11.0,84.0,0.0,0.0,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,2.0,0.82,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,98.0,0.0,5.0,45.0,50.0,8.0,98.0,73.0,3.0,2.0,1.0,81.0,4.0,2.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,13.0,5.0,2.0,71.4
+Mërgim Vojvoda,xk KVX,DF,Torino,28-232,1995,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.05,0.05,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.2,-0.2,129.0,170.0,75.9,2136.0,845.0,69.0,78.0,88.5,52.0,65.0,80.0,7.0,19.0,36.8,2.0,5.0,7.0,0.0,22.0,145.0,23.0,2.0,0.0,6.0,9.0,1.0,1.0,0.0,0.0,20.0,2.0,3.0,3.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,2.0,0.0,2.0,2.0,3.0,0.0,182.0,5.0,38.0,83.0,63.0,2.0,182.0,115.0,8.0,8.0,0.0,124.0,1.0,0.0,0.0,3.0,1.0,1.0,0.0,0.0,0.0,13.0,1.0,1.0,50.0
+Cristian Volpato,it ITA,FW,Sassuolo,19-310,2003,1.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,12.0,100.0,238.0,41.0,4.0,4.0,100.0,7.0,7.0,100.0,1.0,1.0,100.0,0.0,1.0,0.0,0.0,2.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,1.0,1.0,11.0,3.0,0.0,15.0,13.0,1.0,1.0,0.0,13.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Stefan de Vrij,nl NED,DF,Inter,31-228,1992,4.0,3.0,287.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,3.2,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,128.0,145.0,88.3,2160.0,607.0,56.0,59.0,94.9,65.0,71.0,91.5,4.0,10.0,40.0,0.0,1.0,0.0,0.0,5.0,143.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.31,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,6.0,3.0,3.0,5.0,8.0,0.0,172.0,16.0,91.0,76.0,6.0,4.0,172.0,97.0,0.0,2.0,0.0,103.0,1.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,20.0,9.0,3.0,75.0
+Walace,br BRA,MF,Udinese,28-170,1995,4.0,4.0,360.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,4.0,1.0,0.0,16.7,0.25,0.0,0.0,0.02,-0.1,-0.1,171.0,203.0,84.2,3211.0,979.0,68.0,76.0,89.5,85.0,97.0,87.6,17.0,26.0,65.4,3.0,30.0,2.0,0.0,22.0,197.0,6.0,6.0,0.0,4.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,1.5,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,1.0,0.0,3.0,0.0,3.0,11.0,2.0,1.0,235.0,9.0,49.0,155.0,32.0,1.0,235.0,163.0,9.0,6.0,0.0,160.0,1.0,2.0,0.0,2.0,9.0,0.0,0.0,0.0,0.0,26.0,2.0,0.0,100.0
+Sebastian Walukiewicz,pl POL,DF,Empoli,23-169,2000,2.0,2.0,135.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,84.0,94.0,89.4,1661.0,559.0,24.0,26.0,92.3,46.0,51.0,90.2,12.0,15.0,80.0,0.0,5.0,0.0,0.0,3.0,89.0,5.0,5.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,5.0,3.0,2.0,1.0,5.0,0.0,105.0,24.0,57.0,48.0,1.0,0.0,105.0,63.0,2.0,1.0,0.0,73.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,1.0,0.0,6.0,2.0,1.0,66.7
+Timothy Weah,us USA,DF,Juventus,23-211,2000,4.0,2.0,152.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.39,0.39,1.7,1.0,0.0,25.0,0.59,0.0,0.0,0.17,-0.7,-0.7,57.0,72.0,79.2,919.0,205.0,28.0,33.0,84.8,23.0,28.0,82.1,5.0,5.0,100.0,3.0,5.0,3.0,2.0,7.0,67.0,5.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,5.0,0.0,2.0,5.0,2.96,4.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,4.0,0.0,91.0,4.0,18.0,36.0,37.0,6.0,91.0,51.0,3.0,1.0,1.0,55.0,2.0,1.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,7.0,2.0,1.0,66.7
+Mateusz Wieteska,pl POL,DF,Cagliari,26-222,1997,2.0,2.0,179.0,0.0,1.0,0.0,0.0,2.0,1.0,0.0,0.5,0.5,0.0,0.5,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,75.0,91.0,82.4,1358.0,667.0,34.0,36.0,94.4,33.0,41.0,80.5,7.0,12.0,58.3,3.0,2.0,0.0,0.0,4.0,85.0,6.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,4.0,2.01,3.0,0.0,0.0,0.0,1.0,0.5,1.0,0.0,0.0,0.0,0.0,5.0,5.0,3.0,1.0,1.0,2.0,0.0,2.0,2.0,8.0,0.0,111.0,15.0,64.0,43.0,5.0,1.0,111.0,59.0,5.0,0.0,0.0,65.0,1.0,0.0,1.0,3.0,1.0,0.0,0.0,0.0,0.0,13.0,4.0,2.0,66.7
+Kenan Yıldız,tr TUR,"MF,FW",Juventus,18-140,2005,2.0,0.0,15.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,5.0,80.0,53.0,26.0,3.0,4.0,75.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,2.0,6.0,0.0,0.0,8.0,5.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,50.0
+Mattia Zaccagni,it ITA,FW,Lazio,28-097,1995,4.0,4.0,340.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.07,0.07,3.8,1.0,0.0,16.7,0.26,0.0,0.0,0.04,-0.3,-0.3,147.0,185.0,79.5,1982.0,350.0,86.0,100.0,86.0,44.0,53.0,83.0,7.0,14.0,50.0,5.0,5.0,4.0,2.0,7.0,176.0,9.0,4.0,1.0,0.0,10.0,4.0,0.0,0.0,0.0,1.0,0.0,6.0,15.0,3.97,9.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,2.0,3.0,0.0,4.0,1.0,3.0,8.0,4.0,0.0,231.0,6.0,25.0,90.0,120.0,14.0,231.0,148.0,17.0,7.0,5.0,180.0,7.0,3.0,0.0,5.0,11.0,2.0,0.0,0.0,0.0,9.0,3.0,1.0,75.0
+Nicola Zalewski,pl POL,"DF,FW",Roma,21-241,2002,3.0,2.0,166.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.08,0.08,1.8,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.2,-0.2,70.0,99.0,70.7,1210.0,413.0,28.0,29.0,96.6,36.0,48.0,75.0,5.0,12.0,41.7,1.0,4.0,5.0,0.0,7.0,77.0,22.0,3.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,19.0,0.0,6.0,4.0,2.17,2.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,5.0,1.0,4.0,0.0,3.0,2.0,1.0,1.0,1.0,0.0,119.0,6.0,24.0,56.0,40.0,8.0,119.0,61.0,10.0,5.0,4.0,72.0,2.0,0.0,0.0,3.0,8.0,0.0,0.0,0.0,0.0,10.0,4.0,1.0,80.0
+Andre-Frank Zambo Anguissa,cm CMR,MF,Napoli,27-309,1995,4.0,3.0,282.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.07,0.07,3.1,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.2,-0.2,195.0,225.0,86.7,2759.0,762.0,121.0,132.0,91.7,53.0,57.0,93.0,12.0,17.0,70.6,3.0,10.0,1.0,0.0,13.0,221.0,3.0,3.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,9.0,2.87,9.0,0.0,0.0,0.0,1.0,0.32,1.0,0.0,0.0,0.0,0.0,4.0,3.0,1.0,3.0,0.0,3.0,0.0,3.0,1.0,1.0,0.0,250.0,3.0,27.0,158.0,65.0,6.0,250.0,164.0,8.0,8.0,2.0,208.0,5.0,5.0,0.0,3.0,6.0,0.0,0.0,0.0,0.0,23.0,6.0,0.0,100.0
+Duván Zapata,co COL,FW,Torino,32-173,1991,2.0,2.0,150.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.12,0.12,1.7,1.0,0.0,33.3,0.6,0.0,0.0,0.07,-0.2,-0.2,29.0,41.0,70.7,409.0,44.0,17.0,20.0,85.0,6.0,10.0,60.0,3.0,3.0,100.0,1.0,0.0,0.0,0.0,2.0,36.0,3.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,2.0,2.0,3.0,1.8,1.0,0.0,1.0,1.0,1.0,0.6,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,2.0,0.0,2.0,0.0,61.0,3.0,3.0,24.0,34.0,11.0,61.0,39.0,3.0,4.0,1.0,48.0,8.0,0.0,0.0,3.0,4.0,1.0,0.0,0.0,0.0,4.0,6.0,4.0,60.0
+Duván Zapata,co COL,FW,Atalanta,32-173,1991,2.0,2.0,112.0,1.0,0.0,0.0,0.0,0.0,0.0,0.8,0.0,0.8,0.8,0.8,0.4,0.4,0.33,0.33,1.2,2.0,0.0,40.0,1.61,0.2,0.5,0.08,0.6,0.6,36.0,50.0,72.0,393.0,32.0,26.0,29.0,89.7,7.0,12.0,58.3,0.0,1.0,0.0,2.0,0.0,1.0,0.0,3.0,47.0,3.0,1.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,1.0,0.0,4.0,4.0,3.21,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,65.0,1.0,3.0,27.0,35.0,10.0,65.0,47.0,3.0,1.0,2.0,50.0,5.0,0.0,0.0,1.0,4.0,1.0,0.0,0.0,0.0,6.0,5.0,5.0,50.0
+Gabriele Zappa,it ITA,"DF,MF",Cagliari,23-273,1999,4.0,4.0,318.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,3.5,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,103.0,146.0,70.5,1662.0,1026.0,55.0,64.0,85.9,35.0,47.0,74.5,10.0,25.0,40.0,2.0,12.0,4.0,2.0,15.0,107.0,37.0,5.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,32.0,2.0,3.0,4.0,1.13,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,2.0,0.0,4.0,0.0,4.0,3.0,11.0,0.0,174.0,9.0,59.0,76.0,40.0,2.0,174.0,91.0,6.0,4.0,0.0,89.0,4.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,17.0,2.0,0.0,100.0
+Davide Zappacosta,it ITA,DF,Atalanta,31-102,1992,4.0,4.0,248.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.21,0.21,2.8,1.0,0.0,11.1,0.36,0.0,0.0,0.07,-0.6,-0.6,114.0,133.0,85.7,1520.0,546.0,73.0,81.0,90.1,32.0,34.0,94.1,5.0,7.0,71.4,1.0,6.0,1.0,0.0,12.0,108.0,25.0,1.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,24.0,0.0,4.0,3.0,1.08,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,3.0,1.0,2.0,0.0,4.0,0.0,163.0,4.0,38.0,59.0,70.0,13.0,163.0,97.0,10.0,5.0,3.0,105.0,5.0,3.0,0.0,3.0,4.0,1.0,0.0,0.0,0.0,17.0,2.0,4.0,33.3
+Oier Zarraga,es ESP,MF,Udinese,24-260,1999,2.0,1.0,54.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.12,0.12,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.1,-0.1,14.0,16.0,87.5,172.0,58.0,12.0,13.0,92.3,2.0,2.0,100.0,0.0,1.0,0.0,1.0,2.0,0.0,0.0,2.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.67,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,23.0,2.0,8.0,7.0,8.0,2.0,23.0,15.0,2.0,3.0,1.0,17.0,3.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,50.0
+Jordan Zemura,zw ZIM,DF,Udinese,23-311,1999,3.0,0.0,84.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,28.0,71.4,227.0,87.0,13.0,14.0,92.9,6.0,6.0,100.0,0.0,4.0,0.0,1.0,2.0,0.0,0.0,3.0,22.0,6.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,5.0,0.0,1.0,1.0,1.07,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,37.0,1.0,10.0,15.0,12.0,1.0,37.0,18.0,2.0,1.0,2.0,21.0,2.0,1.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,4.0,2.0,4.0,33.3
+Alessio Zerbin,it ITA,FW,Napoli,24-202,1999,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,3.0,1.0,3.0,3.0,0.0,1.0,0.0,3.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
+Piotr Zieliński,pl POL,MF,Napoli,29-124,1994,4.0,4.0,345.0,1.0,1.0,0.0,0.0,0.0,0.0,0.26,0.26,0.52,0.26,0.52,0.4,0.4,0.1,0.1,3.8,3.0,1.0,33.3,0.78,0.11,0.33,0.04,0.6,0.6,183.0,219.0,83.6,3000.0,1252.0,102.0,108.0,94.4,59.0,69.0,85.5,18.0,32.0,56.3,14.0,27.0,15.0,0.0,34.0,195.0,21.0,3.0,1.0,2.0,18.0,17.0,4.0,10.0,0.0,0.0,3.0,1.0,24.0,6.26,14.0,8.0,2.0,0.0,4.0,1.04,3.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,1.0,2.0,3.0,1.0,2.0,1.0,0.0,0.0,248.0,2.0,20.0,127.0,104.0,8.0,248.0,163.0,10.0,13.0,3.0,192.0,6.0,4.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,15.0,0.0,1.0,0.0
+David Zima,cz CZE,DF,Torino,22-317,2000,1.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,6.0,83.3,72.0,12.0,1.0,1.0,100.0,3.0,4.0,75.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.63,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,0.0,9.0,2.0,5.0,4.0,0.0,0.0,9.0,4.0,0.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,3.0,0.0
+Joshua Zirkzee,nl NED,FW,Bologna,22-122,2001,4.0,4.0,356.0,1.0,1.0,0.0,0.0,1.0,0.0,0.25,0.25,0.51,0.25,0.51,0.4,0.4,0.1,0.1,4.0,3.0,0.0,42.9,0.76,0.14,0.33,0.06,0.6,0.6,72.0,99.0,72.7,869.0,175.0,48.0,66.0,72.7,12.0,17.0,70.6,3.0,3.0,100.0,10.0,3.0,4.0,0.0,8.0,90.0,9.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,17.0,4.3,13.0,0.0,2.0,0.0,1.0,0.25,1.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,6.0,0.0,151.0,6.0,12.0,74.0,67.0,15.0,151.0,82.0,3.0,6.0,1.0,111.0,16.0,6.0,0.0,3.0,1.0,1.0,0.0,0.0,0.0,11.0,9.0,2.0,81.8
+Zito,ao ANG,FW,Cagliari,21-196,2002,4.0,3.0,297.0,1.0,0.0,0.0,0.0,1.0,0.0,0.3,0.0,0.3,0.3,0.3,0.5,0.5,0.17,0.17,3.3,1.0,0.0,11.1,0.3,0.11,1.0,0.06,0.5,0.5,23.0,34.0,67.6,363.0,59.0,10.0,12.0,83.3,9.0,15.0,60.0,1.0,3.0,33.3,4.0,1.0,1.0,1.0,3.0,32.0,2.0,0.0,0.0,1.0,7.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,13.0,3.94,4.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,86.0,0.0,4.0,22.0,60.0,17.0,86.0,73.0,14.0,6.0,8.0,71.0,16.0,10.0,0.0,3.0,8.0,5.0,0.0,0.0,0.0,6.0,1.0,5.0,16.7
+Nadir Zortea,it ITA,DF,Atalanta,24-094,1999,3.0,0.0,96.0,1.0,0.0,0.0,0.0,1.0,0.0,0.94,0.0,0.94,0.94,0.94,0.1,0.1,0.08,0.08,1.1,1.0,0.0,50.0,0.94,0.5,1.0,0.04,0.9,0.9,41.0,51.0,80.4,702.0,314.0,22.0,24.0,91.7,13.0,15.0,86.7,6.0,8.0,75.0,2.0,2.0,2.0,2.0,5.0,43.0,8.0,0.0,0.0,0.0,7.0,1.0,0.0,1.0,0.0,7.0,0.0,3.0,7.0,6.56,4.0,1.0,1.0,0.0,1.0,0.94,1.0,0.0,0.0,0.0,0.0,3.0,2.0,2.0,1.0,0.0,1.0,0.0,1.0,1.0,2.0,0.0,64.0,1.0,13.0,30.0,23.0,3.0,64.0,43.0,6.0,4.0,1.0,44.0,0.0,2.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,0.0
+Milan Đurić,ba BIH,"FW,MF",Hellas Verona,33-122,1990,4.0,1.0,152.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.05,0.05,1.7,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.1,-0.1,24.0,48.0,50.0,328.0,43.0,16.0,31.0,51.6,4.0,9.0,44.4,2.0,3.0,66.7,2.0,1.0,1.0,0.0,1.0,48.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.78,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,60.0,4.0,10.0,24.0,26.0,4.0,60.0,26.0,0.0,2.0,0.0,47.0,4.0,1.0,0.0,7.0,1.0,2.0,0.0,0.0,0.0,4.0,21.0,14.0,60.0
+Mateusz Łęgowski,pl POL,MF,Salernitana,20-235,2003,4.0,2.0,161.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,71.0,87.0,81.6,948.0,301.0,46.0,50.0,92.0,18.0,22.0,81.8,4.0,8.0,50.0,1.0,2.0,0.0,0.0,4.0,86.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,4.0,2.24,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,99.0,2.0,18.0,60.0,22.0,1.0,99.0,66.0,3.0,4.0,1.0,72.0,4.0,1.0,0.0,3.0,3.0,0.0,0.0,0.0,0.0,14.0,4.0,5.0,44.4
diff --git a/fbref_data/teams.csv b/fbref_data/teams.csv
index 2b441fc..443cd4d 100644
--- a/fbref_data/teams.csv
+++ b/fbref_data/teams.csv
@@ -1,21 +1,21 @@
team,players_used,possession,games,games_starts,minutes,goals,assists,pens_made,pens_att,cards_yellow,cards_red,goals_per90,assists_per90,goals_assists_per90,goals_pens_per90,goals_assists_pens_per90,xg,npxg,xg_per90,npxg_per90,gk_games,gk_games_starts,gk_minutes,gk_goals_against,gk_goals_against_per90,gk_shots_on_target_against,gk_saves,gk_save_pct,gk_wins,gk_ties,gk_losses,gk_clean_sheets,gk_clean_sheets_pct,gk_pens_att,gk_pens_allowed,gk_pens_saved,gk_pens_missed,minutes_90s,gk_free_kick_goals_against,gk_corner_kick_goals_against,gk_own_goals_against,gk_psxg,gk_psnpxg_per_shot_on_target_against,gk_psxg_net,gk_psxg_net_per90,gk_passes_completed_launched,gk_passes_launched,gk_passes_pct_launched,gk_passes,gk_passes_throws,gk_pct_passes_launched,gk_passes_length_avg,gk_goal_kicks,gk_pct_goal_kicks_launched,gk_goal_kick_length_avg,gk_crosses,gk_crosses_stopped,gk_crosses_stopped_pct,gk_def_actions_outside_pen_area,gk_def_actions_outside_pen_area_per90,gk_avg_distance_def_actions,shots_on_target,shots_free_kicks,shots_on_target_pct,shots_on_target_per90,goals_per_shot,goals_per_shot_on_target,npxg_per_shot,xg_net,npxg_net,passes_completed,passes,passes_pct,passes_total_distance,passes_progressive_distance,passes_completed_short,passes_short,passes_pct_short,passes_completed_medium,passes_medium,passes_pct_medium,passes_completed_long,passes_long,passes_pct_long,assisted_shots,passes_into_final_third,passes_into_penalty_area,crosses_into_penalty_area,progressive_passes,passes_live,passes_dead,passes_free_kicks,through_balls,passes_switches,crosses,corner_kicks,corner_kicks_in,corner_kicks_out,corner_kicks_straight,throw_ins,passes_offsides,passes_blocked,sca,sca_per90,sca_passes_live,sca_passes_dead,sca_shots,sca_fouled,gca,gca_per90,gca_passes_live,gca_passes_dead,gca_shots,gca_fouled,gca_defense,tackles,tackles_won,tackles_def_3rd,tackles_mid_3rd,tackles_att_3rd,blocks,blocked_shots,blocked_passes,interceptions,clearances,errors,touches,touches_def_pen_area,touches_def_3rd,touches_mid_3rd,touches_att_3rd,touches_att_pen_area,touches_live_ball,carries,progressive_carries,carries_into_final_third,carries_into_penalty_area,passes_received,miscontrols,dispossessed,cards_yellow_red,fouls,fouled,offsides,pens_won,pens_conceded,own_goals,ball_recoveries,aerials_won,aerials_lost,aerials_won_pct
-Atalanta,20.0,51.7,3.0,33.0,270.0,6.0,6.0,0.0,0.0,2.0,0.0,2.0,2.0,4.0,2.0,4.0,4.2,4.2,1.41,1.41,3.0,3.0,270.0,2.0,0.67,10.0,8.0,80.0,2.0,0.0,1.0,2.0,66.7,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0,2.1,0.21,0.1,0.04,11.0,34.0,32.4,88.0,18.0,27.3,29.3,18.0,55.6,46.1,28.0,2.0,7.1,8.0,2.67,22.0,18.0,0.0,34.6,6.0,0.12,0.33,0.08,1.8,1.8,1395.0,1694.0,82.3,24117.0,8315.0,631.0,715.0,88.3,599.0,672.0,89.1,132.0,220.0,60.0,41.0,93.0,36.0,10.0,164.0,1554.0,133.0,30.0,2.0,14.0,81.0,21.0,8.0,9.0,0.0,59.0,7.0,28.0,97.0,32.33,79.0,7.0,4.0,0.0,11.0,3.67,9.0,1.0,1.0,0.0,0.0,43.0,22.0,19.0,17.0,7.0,39.0,8.0,31.0,27.0,35.0,0.0,1993.0,146.0,555.0,841.0,618.0,89.0,1993.0,1282.0,73.0,56.0,20.0,1379.0,38.0,26.0,0.0,34.0,27.0,7.0,0.0,0.0,0.0,172.0,42.0,44.0,48.8
-Bologna,20.0,55.3,3.0,33.0,270.0,3.0,2.0,0.0,1.0,4.0,0.0,1.0,0.67,1.67,1.0,1.67,3.9,3.1,1.29,1.03,3.0,3.0,270.0,4.0,1.33,9.0,5.0,55.6,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,3.0,0.33,-1.0,-0.34,11.0,31.0,35.5,63.0,14.0,38.1,33.0,19.0,36.8,37.0,45.0,2.0,4.4,2.0,0.67,11.3,16.0,2.0,38.1,5.33,0.07,0.19,0.07,-0.9,-0.1,1523.0,1781.0,85.5,25555.0,8059.0,758.0,826.0,91.8,596.0,661.0,90.2,127.0,207.0,61.4,32.0,120.0,26.0,8.0,129.0,1650.0,128.0,36.0,1.0,10.0,42.0,10.0,6.0,1.0,0.0,53.0,3.0,26.0,78.0,26.0,64.0,3.0,4.0,3.0,5.0,1.67,4.0,0.0,1.0,0.0,0.0,56.0,28.0,34.0,19.0,3.0,37.0,8.0,29.0,16.0,51.0,0.0,2098.0,179.0,566.0,1093.0,456.0,62.0,2097.0,1190.0,54.0,48.0,13.0,1514.0,36.0,16.0,0.0,32.0,25.0,3.0,0.0,0.0,0.0,153.0,29.0,23.0,55.8
-Cagliari,19.0,35.0,3.0,33.0,270.0,1.0,1.0,0.0,0.0,4.0,0.0,0.33,0.33,0.67,0.33,0.67,1.5,1.5,0.5,0.5,3.0,3.0,270.0,4.0,1.33,12.0,8.0,66.7,0.0,1.0,2.0,1.0,33.3,1.0,0.0,0.0,1.0,3.0,0.0,0.0,0.0,4.0,0.34,0.0,-0.01,16.0,41.0,39.0,53.0,14.0,39.6,39.4,28.0,71.4,52.8,49.0,2.0,4.1,2.0,0.67,11.9,5.0,2.0,18.5,1.67,0.04,0.2,0.06,-0.5,-0.5,762.0,1057.0,72.1,14438.0,5968.0,346.0,394.0,87.8,287.0,378.0,75.9,110.0,223.0,49.3,18.0,68.0,16.0,5.0,91.0,932.0,121.0,29.0,2.0,13.0,54.0,9.0,3.0,5.0,0.0,48.0,4.0,24.0,48.0,16.0,35.0,0.0,1.0,5.0,2.0,0.67,2.0,0.0,0.0,0.0,0.0,41.0,27.0,26.0,10.0,5.0,30.0,11.0,19.0,27.0,72.0,2.0,1387.0,187.0,538.0,542.0,323.0,43.0,1387.0,748.0,47.0,26.0,14.0,747.0,52.0,31.0,0.0,34.0,25.0,4.0,0.0,1.0,0.0,190.0,37.0,44.0,45.7
-Empoli,26.0,48.0,3.0,33.0,270.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.67,0.67,3.0,3.0,270.0,5.0,1.67,14.0,8.0,64.3,0.0,0.0,3.0,0.0,0.0,1.0,0.0,1.0,0.0,3.0,0.0,2.0,0.0,3.0,0.14,-2.0,-0.68,7.0,40.0,17.5,91.0,25.0,37.4,34.1,23.0,26.1,32.7,45.0,2.0,4.4,5.0,1.67,14.5,10.0,2.0,28.6,3.33,0.0,0.0,0.06,-2.0,-2.0,1024.0,1329.0,77.1,17920.0,6166.0,448.0,517.0,86.7,435.0,510.0,85.3,103.0,213.0,48.4,21.0,72.0,15.0,3.0,93.0,1157.0,167.0,49.0,6.0,3.0,46.0,10.0,4.0,3.0,0.0,73.0,5.0,28.0,58.0,19.33,43.0,4.0,5.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,35.0,19.0,17.0,14.0,4.0,42.0,12.0,30.0,12.0,40.0,1.0,1611.0,210.0,542.0,711.0,372.0,50.0,1611.0,931.0,60.0,35.0,12.0,1014.0,32.0,29.0,0.0,38.0,44.0,5.0,0.0,1.0,0.0,131.0,30.0,42.0,41.7
-Fiorentina,21.0,62.3,3.0,33.0,270.0,6.0,5.0,0.0,0.0,5.0,0.0,2.0,1.67,3.67,2.0,3.67,2.7,2.7,0.9,0.9,3.0,3.0,270.0,7.0,2.33,15.0,8.0,60.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,3.0,0.0,1.0,0.0,3.5,0.17,-3.5,-1.16,17.0,36.0,47.2,125.0,10.0,24.8,32.0,12.0,41.7,40.7,26.0,0.0,0.0,3.0,1.0,17.7,11.0,1.0,44.0,3.67,0.24,0.55,0.11,3.3,3.3,1473.0,1755.0,83.9,29053.0,9124.0,545.0,604.0,90.2,667.0,746.0,89.4,230.0,306.0,75.2,19.0,93.0,21.0,6.0,123.0,1609.0,142.0,44.0,5.0,21.0,46.0,8.0,2.0,4.0,0.0,68.0,4.0,44.0,44.0,14.67,33.0,2.0,3.0,1.0,11.0,3.67,5.0,2.0,2.0,0.0,0.0,37.0,20.0,16.0,13.0,8.0,28.0,5.0,23.0,22.0,35.0,0.0,2025.0,174.0,666.0,971.0,408.0,57.0,2025.0,1373.0,53.0,38.0,13.0,1455.0,33.0,25.0,0.0,41.0,38.0,4.0,0.0,1.0,0.0,141.0,32.0,38.0,45.7
-Frosinone,21.0,46.0,3.0,33.0,270.0,3.0,2.0,1.0,1.0,6.0,0.0,1.0,0.67,1.67,0.67,1.33,3.4,2.6,1.13,0.87,3.0,3.0,270.0,4.0,1.33,20.0,16.0,80.0,1.0,1.0,1.0,1.0,33.3,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,4.6,0.23,0.6,0.2,7.0,37.0,18.9,88.0,19.0,33.0,30.6,15.0,53.3,42.4,43.0,2.0,4.7,2.0,0.67,11.8,6.0,1.0,21.4,2.0,0.07,0.33,0.09,-0.4,-0.6,1045.0,1320.0,79.2,16365.0,6564.0,552.0,605.0,91.2,360.0,423.0,85.1,86.0,203.0,42.4,19.0,62.0,20.0,4.0,94.0,1171.0,143.0,43.0,0.0,4.0,31.0,12.0,4.0,5.0,0.0,56.0,6.0,21.0,46.0,15.33,33.0,4.0,4.0,2.0,5.0,1.67,0.0,3.0,0.0,1.0,1.0,43.0,28.0,23.0,18.0,2.0,39.0,13.0,26.0,24.0,64.0,1.0,1652.0,237.0,622.0,732.0,314.0,53.0,1651.0,829.0,45.0,28.0,12.0,1034.0,50.0,24.0,0.0,33.0,40.0,6.0,1.0,0.0,0.0,154.0,42.0,46.0,47.7
-Genoa,18.0,33.0,3.0,33.0,270.0,2.0,1.0,0.0,0.0,9.0,0.0,0.67,0.33,1.0,0.67,1.0,1.0,1.0,0.32,0.32,3.0,3.0,270.0,5.0,1.67,10.0,5.0,50.0,1.0,0.0,2.0,1.0,33.3,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0,2.6,0.27,-2.4,-0.8,27.0,55.0,49.1,94.0,9.0,44.7,40.1,14.0,92.9,62.2,64.0,8.0,12.5,2.0,0.67,9.7,7.0,0.0,43.8,2.33,0.13,0.29,0.06,1.0,1.0,714.0,998.0,71.5,14375.0,6132.0,272.0,342.0,79.5,317.0,379.0,83.6,110.0,218.0,50.5,12.0,53.0,10.0,4.0,65.0,872.0,122.0,40.0,1.0,4.0,30.0,4.0,0.0,4.0,0.0,43.0,4.0,25.0,26.0,8.67,17.0,4.0,1.0,1.0,3.0,1.0,1.0,0.0,1.0,0.0,0.0,48.0,25.0,28.0,19.0,1.0,40.0,8.0,32.0,34.0,96.0,2.0,1332.0,240.0,587.0,558.0,205.0,19.0,1332.0,614.0,20.0,23.0,3.0,706.0,34.0,15.0,0.0,37.0,29.0,4.0,0.0,0.0,0.0,128.0,44.0,32.0,57.9
-Hellas Verona,19.0,44.7,3.0,33.0,270.0,4.0,2.0,0.0,0.0,6.0,1.0,1.33,0.67,2.0,1.33,2.0,1.9,1.9,0.63,0.63,3.0,3.0,270.0,4.0,1.33,18.0,14.0,83.3,2.0,0.0,1.0,1.0,33.3,1.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,4.3,0.2,0.3,0.09,27.0,72.0,37.5,84.0,7.0,57.1,43.0,28.0,85.7,61.0,44.0,1.0,2.3,8.0,2.67,20.9,10.0,0.0,38.5,3.33,0.15,0.4,0.07,2.1,2.1,794.0,1098.0,72.3,17063.0,6913.0,268.0,340.0,78.8,362.0,434.0,83.4,152.0,268.0,56.7,22.0,57.0,9.0,4.0,69.0,956.0,135.0,43.0,5.0,20.0,31.0,6.0,3.0,1.0,0.0,51.0,7.0,19.0,47.0,15.67,33.0,5.0,2.0,3.0,5.0,1.67,3.0,0.0,1.0,0.0,1.0,47.0,33.0,25.0,20.0,2.0,33.0,10.0,23.0,20.0,89.0,0.0,1426.0,203.0,566.0,646.0,229.0,34.0,1426.0,783.0,37.0,25.0,7.0,777.0,41.0,19.0,0.0,48.0,36.0,7.0,0.0,1.0,0.0,157.0,71.0,54.0,56.8
-Inter,18.0,51.3,3.0,33.0,270.0,8.0,7.0,1.0,1.0,3.0,0.0,2.67,2.33,5.0,2.33,4.67,7.3,6.5,2.42,2.17,3.0,3.0,270.0,0.0,0.0,6.0,6.0,100.0,3.0,0.0,0.0,3.0,100.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,1.2,0.21,1.2,0.41,19.0,32.0,59.4,81.0,12.0,33.3,31.4,21.0,23.8,31.0,35.0,1.0,2.9,0.0,0.0,6.8,16.0,2.0,27.1,5.33,0.12,0.44,0.11,0.7,0.5,1367.0,1610.0,84.9,24158.0,8292.0,613.0,670.0,91.5,551.0,619.0,89.0,146.0,229.0,63.8,44.0,109.0,38.0,12.0,146.0,1497.0,110.0,33.0,10.0,29.0,58.0,16.0,2.0,12.0,0.0,37.0,3.0,17.0,108.0,36.0,83.0,9.0,7.0,6.0,15.0,5.0,12.0,0.0,1.0,1.0,1.0,61.0,38.0,34.0,19.0,8.0,33.0,12.0,21.0,20.0,46.0,0.0,1917.0,172.0,557.0,878.0,502.0,100.0,1916.0,1242.0,62.0,45.0,17.0,1354.0,30.0,13.0,0.0,31.0,33.0,3.0,1.0,0.0,0.0,156.0,36.0,24.0,60.0
-Juventus,21.0,53.0,3.0,33.0,270.0,6.0,4.0,1.0,2.0,8.0,0.0,2.0,1.33,3.33,1.67,3.0,5.3,3.8,1.77,1.25,3.0,3.0,270.0,1.0,0.33,9.0,8.0,88.9,2.0,1.0,0.0,2.0,66.7,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,2.6,0.3,1.6,0.52,10.0,27.0,37.0,76.0,15.0,31.6,30.2,14.0,21.4,26.3,42.0,3.0,7.1,2.0,0.67,12.9,10.0,1.0,25.6,3.33,0.13,0.5,0.1,0.7,1.2,1326.0,1603.0,82.7,22780.0,7294.0,623.0,694.0,89.8,548.0,614.0,89.3,129.0,217.0,59.4,31.0,94.0,38.0,13.0,126.0,1457.0,137.0,40.0,7.0,14.0,53.0,16.0,2.0,8.0,0.0,47.0,9.0,29.0,72.0,24.0,61.0,1.0,4.0,2.0,9.0,3.0,7.0,0.0,1.0,0.0,0.0,51.0,38.0,23.0,24.0,4.0,29.0,11.0,18.0,26.0,56.0,0.0,1923.0,191.0,568.0,852.0,516.0,95.0,1921.0,1097.0,66.0,50.0,20.0,1307.0,38.0,14.0,0.0,38.0,35.0,9.0,1.0,0.0,0.0,140.0,26.0,22.0,54.2
-Lazio,19.0,53.3,3.0,33.0,270.0,3.0,3.0,0.0,0.0,8.0,0.0,1.0,1.0,2.0,1.0,2.0,3.6,3.6,1.21,1.21,3.0,3.0,270.0,4.0,1.33,14.0,10.0,71.4,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,2.5,0.18,-1.5,-0.49,6.0,16.0,37.5,89.0,11.0,14.6,26.1,11.0,27.3,31.6,39.0,2.0,5.1,6.0,2.0,16.3,8.0,1.0,25.0,2.67,0.09,0.38,0.12,-0.6,-0.6,1449.0,1756.0,82.5,23163.0,7951.0,728.0,816.0,89.2,581.0,654.0,88.8,101.0,193.0,52.3,25.0,123.0,26.0,5.0,159.0,1612.0,140.0,42.0,8.0,6.0,65.0,19.0,7.0,10.0,0.0,49.0,4.0,34.0,57.0,19.0,44.0,3.0,2.0,1.0,6.0,2.0,5.0,0.0,0.0,0.0,1.0,42.0,24.0,25.0,15.0,2.0,38.0,18.0,20.0,24.0,72.0,1.0,2075.0,199.0,580.0,1036.0,481.0,65.0,2075.0,1256.0,83.0,49.0,14.0,1436.0,39.0,20.0,0.0,34.0,33.0,4.0,0.0,0.0,0.0,149.0,26.0,39.0,40.0
-Lecce,18.0,45.0,3.0,33.0,270.0,6.0,5.0,1.0,1.0,9.0,0.0,2.0,1.67,3.67,1.67,3.33,3.4,2.7,1.14,0.9,3.0,3.0,270.0,3.0,1.0,12.0,9.0,75.0,2.0,1.0,0.0,1.0,33.3,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0,3.0,0.25,0.0,0.0,17.0,43.0,39.5,57.0,14.0,49.1,35.0,24.0,62.5,42.3,32.0,2.0,6.3,1.0,0.33,9.0,14.0,1.0,29.2,4.67,0.1,0.36,0.06,2.6,2.3,946.0,1223.0,77.4,16439.0,6221.0,434.0,503.0,86.3,397.0,472.0,84.1,83.0,168.0,49.4,38.0,60.0,22.0,9.0,110.0,1050.0,170.0,49.0,1.0,7.0,42.0,14.0,4.0,0.0,0.0,73.0,3.0,23.0,86.0,28.67,63.0,6.0,10.0,2.0,10.0,3.33,8.0,0.0,1.0,0.0,1.0,52.0,33.0,17.0,29.0,6.0,45.0,6.0,39.0,19.0,50.0,0.0,1577.0,171.0,472.0,708.0,415.0,65.0,1576.0,920.0,66.0,36.0,16.0,936.0,42.0,27.0,0.0,44.0,45.0,3.0,0.0,0.0,0.0,148.0,46.0,33.0,58.2
-Milan,18.0,54.0,3.0,33.0,270.0,8.0,5.0,3.0,3.0,8.0,1.0,2.67,1.67,4.33,1.67,3.33,5.5,3.2,1.82,1.07,3.0,3.0,270.0,2.0,0.67,8.0,6.0,75.0,3.0,0.0,0.0,1.0,33.3,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.6,0.08,-1.4,-0.45,20.0,57.0,35.1,170.0,23.0,25.9,30.5,20.0,65.0,49.3,43.0,12.0,27.9,3.0,1.0,10.3,13.0,0.0,40.6,4.33,0.16,0.38,0.1,2.5,1.8,1376.0,1613.0,85.3,23533.0,8083.0,611.0,668.0,91.5,623.0,677.0,92.0,114.0,199.0,57.3,28.0,67.0,21.0,7.0,101.0,1489.0,120.0,42.0,6.0,3.0,33.0,13.0,7.0,4.0,0.0,30.0,4.0,21.0,65.0,21.67,51.0,4.0,3.0,4.0,15.0,5.0,11.0,0.0,1.0,2.0,0.0,29.0,18.0,18.0,8.0,3.0,30.0,10.0,20.0,26.0,34.0,1.0,1868.0,233.0,730.0,857.0,297.0,62.0,1865.0,1205.0,63.0,45.0,19.0,1354.0,29.0,26.0,1.0,32.0,39.0,4.0,2.0,0.0,0.0,134.0,27.0,34.0,44.3
-Monza,21.0,55.3,3.0,33.0,270.0,2.0,2.0,0.0,0.0,5.0,0.0,0.67,0.67,1.33,0.67,1.33,3.1,3.1,1.04,1.04,3.0,3.0,270.0,5.0,1.67,17.0,12.0,70.6,1.0,0.0,2.0,1.0,33.3,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0,4.2,0.25,-0.8,-0.25,7.0,32.0,21.9,111.0,16.0,20.7,28.7,22.0,40.9,40.3,45.0,2.0,4.4,2.0,0.67,11.7,9.0,2.0,22.5,3.0,0.05,0.22,0.08,-1.1,-1.1,1531.0,1775.0,86.3,27820.0,8255.0,652.0,701.0,93.0,691.0,756.0,91.4,163.0,247.0,66.0,32.0,108.0,34.0,13.0,114.0,1622.0,149.0,30.0,3.0,12.0,50.0,12.0,3.0,7.0,0.0,64.0,4.0,34.0,72.0,24.0,63.0,3.0,1.0,2.0,4.0,1.33,3.0,0.0,0.0,0.0,0.0,58.0,34.0,32.0,21.0,5.0,33.0,16.0,17.0,27.0,41.0,2.0,2078.0,246.0,687.0,945.0,456.0,63.0,2078.0,1246.0,63.0,44.0,13.0,1517.0,35.0,22.0,0.0,36.0,25.0,4.0,0.0,0.0,0.0,122.0,27.0,37.0,42.2
-Napoli,18.0,60.3,3.0,33.0,270.0,6.0,3.0,1.0,2.0,3.0,0.0,2.0,1.0,3.0,1.67,2.67,6.2,4.7,2.08,1.57,3.0,3.0,270.0,3.0,1.0,4.0,1.0,50.0,2.0,0.0,1.0,1.0,33.3,1.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,2.2,0.31,-0.8,-0.26,3.0,10.0,30.0,78.0,7.0,12.8,24.4,8.0,0.0,21.4,15.0,1.0,6.7,5.0,1.67,18.1,16.0,1.0,25.0,5.33,0.08,0.31,0.07,-0.2,0.3,1610.0,1860.0,86.6,26619.0,8845.0,809.0,862.0,93.9,633.0,710.0,89.2,131.0,200.0,65.5,53.0,107.0,35.0,6.0,134.0,1725.0,124.0,35.0,4.0,11.0,67.0,25.0,8.0,11.0,2.0,48.0,11.0,29.0,120.0,40.0,88.0,13.0,11.0,3.0,11.0,3.67,8.0,1.0,1.0,1.0,0.0,51.0,29.0,22.0,15.0,14.0,24.0,4.0,20.0,17.0,22.0,0.0,2134.0,119.0,528.0,1059.0,557.0,120.0,2132.0,1382.0,70.0,53.0,20.0,1590.0,45.0,14.0,0.0,34.0,27.0,11.0,1.0,1.0,0.0,156.0,33.0,19.0,63.5
-Roma,21.0,58.3,3.0,33.0,270.0,4.0,3.0,0.0,0.0,5.0,0.0,1.33,1.0,2.33,1.33,2.33,4.1,4.1,1.38,1.38,3.0,3.0,270.0,6.0,2.0,9.0,3.0,44.4,0.0,1.0,2.0,0.0,0.0,1.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,3.6,0.3,-2.4,-0.78,6.0,13.0,46.2,47.0,6.0,23.4,29.7,12.0,16.7,24.5,15.0,0.0,0.0,2.0,0.67,16.2,12.0,4.0,24.5,4.0,0.08,0.33,0.09,-0.1,-0.1,1234.0,1531.0,80.6,22107.0,7685.0,543.0,603.0,90.0,551.0,645.0,85.4,122.0,211.0,57.8,37.0,97.0,25.0,6.0,112.0,1374.0,152.0,39.0,1.0,14.0,83.0,24.0,10.0,13.0,0.0,66.0,5.0,25.0,88.0,29.33,58.0,10.0,8.0,6.0,6.0,2.0,2.0,1.0,1.0,0.0,0.0,43.0,27.0,15.0,24.0,4.0,21.0,5.0,16.0,19.0,18.0,1.0,1769.0,119.0,457.0,874.0,454.0,74.0,1769.0,1079.0,68.0,55.0,16.0,1228.0,38.0,14.0,0.0,38.0,41.0,5.0,0.0,1.0,0.0,145.0,64.0,45.0,58.7
-Salernitana,21.0,50.0,3.0,33.0,270.0,3.0,3.0,0.0,0.0,11.0,0.0,1.0,1.0,2.0,1.0,2.0,1.7,1.7,0.57,0.57,3.0,3.0,270.0,5.0,1.67,15.0,10.0,73.3,0.0,2.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,3.0,0.0,1.0,0.0,3.7,0.19,-1.3,-0.43,13.0,52.0,25.0,70.0,12.0,47.1,38.7,31.0,61.3,46.3,51.0,3.0,5.9,1.0,0.33,8.3,10.0,1.0,43.5,3.33,0.13,0.3,0.07,1.3,1.3,958.0,1269.0,75.5,16534.0,6531.0,429.0,498.0,86.1,402.0,483.0,83.2,88.0,199.0,44.2,16.0,64.0,24.0,4.0,101.0,1107.0,159.0,49.0,2.0,10.0,41.0,13.0,1.0,3.0,0.0,58.0,3.0,34.0,43.0,14.33,37.0,3.0,2.0,1.0,6.0,2.0,6.0,0.0,0.0,0.0,0.0,36.0,28.0,21.0,9.0,6.0,25.0,15.0,10.0,24.0,55.0,1.0,1560.0,178.0,508.0,760.0,302.0,38.0,1560.0,849.0,32.0,32.0,5.0,949.0,41.0,31.0,0.0,36.0,47.0,3.0,0.0,1.0,0.0,127.0,37.0,68.0,35.2
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+Sassuolo,24.0,43.5,4.0,44.0,360.0,5.0,4.0,1.0,1.0,4.0,1.0,1.25,1.0,2.25,1.0,2.0,3.6,2.8,0.89,0.7,4.0,4.0,360.0,9.0,2.25,18.0,9.0,61.1,1.0,0.0,3.0,0.0,0.0,3.0,2.0,0.0,1.0,4.0,0.0,2.0,0.0,6.0,0.23,-3.0,-0.74,16.0,61.0,26.2,119.0,13.0,41.2,37.1,43.0,27.9,29.4,55.0,2.0,3.6,10.0,2.5,20.4,17.0,2.0,34.0,4.25,0.08,0.24,0.06,1.4,1.2,1346.0,1698.0,79.3,23299.0,9314.0,625.0,690.0,90.6,543.0,641.0,84.7,132.0,264.0,50.0,42.0,111.0,21.0,1.0,141.0,1482.0,213.0,57.0,11.0,14.0,59.0,27.0,15.0,6.0,0.0,63.0,3.0,38.0,94.0,23.5,77.0,7.0,4.0,3.0,10.0,2.5,8.0,0.0,1.0,1.0,0.0,52.0,32.0,32.0,18.0,2.0,38.0,12.0,26.0,38.0,70.0,1.0,2084.0,291.0,768.0,835.0,504.0,84.0,2083.0,1086.0,75.0,47.0,27.0,1332.0,54.0,31.0,0.0,36.0,41.0,3.0,1.0,3.0,0.0,171.0,37.0,50.0,42.5
+Torino,22.0,51.3,4.0,44.0,360.0,5.0,3.0,0.0,0.0,8.0,0.0,1.25,0.75,2.0,1.25,2.0,3.6,3.6,0.91,0.91,4.0,4.0,360.0,4.0,1.0,15.0,11.0,86.7,2.0,1.0,1.0,3.0,75.0,2.0,2.0,0.0,0.0,4.0,0.0,0.0,0.0,4.6,0.18,0.6,0.16,29.0,79.0,36.7,117.0,23.0,44.4,38.1,36.0,75.0,61.3,33.0,3.0,9.1,5.0,1.25,15.8,9.0,2.0,22.5,2.25,0.13,0.56,0.09,1.4,1.4,1459.0,1846.0,79.0,25835.0,9669.0,689.0,776.0,88.8,596.0,696.0,85.6,144.0,281.0,51.2,23.0,107.0,24.0,5.0,146.0,1666.0,170.0,49.0,1.0,19.0,71.0,15.0,10.0,4.0,0.0,62.0,10.0,28.0,59.0,14.75,41.0,6.0,5.0,5.0,8.0,2.0,5.0,0.0,2.0,0.0,0.0,40.0,25.0,19.0,17.0,4.0,33.0,7.0,26.0,33.0,53.0,0.0,2207.0,224.0,643.0,1041.0,551.0,58.0,2207.0,1338.0,79.0,66.0,11.0,1427.0,67.0,27.0,0.0,53.0,43.0,10.0,0.0,2.0,0.0,193.0,59.0,63.0,48.4
+Udinese,22.0,48.5,4.0,44.0,360.0,1.0,1.0,0.0,0.0,8.0,0.0,0.25,0.25,0.5,0.25,0.5,4.0,4.0,1.01,1.01,4.0,4.0,360.0,4.0,1.0,10.0,6.0,70.0,0.0,3.0,1.0,2.0,50.0,1.0,1.0,0.0,0.0,4.0,0.0,0.0,0.0,3.9,0.29,-0.1,-0.02,11.0,34.0,32.4,94.0,14.0,25.5,29.7,32.0,31.3,35.4,49.0,0.0,0.0,3.0,0.75,14.0,18.0,3.0,32.7,4.5,0.02,0.06,0.07,-3.0,-3.0,1373.0,1722.0,79.7,25187.0,9647.0,580.0,664.0,87.3,586.0,688.0,85.2,163.0,283.0,57.6,44.0,137.0,29.0,15.0,146.0,1532.0,185.0,49.0,4.0,14.0,76.0,21.0,6.0,7.0,0.0,66.0,5.0,16.0,104.0,26.0,74.0,12.0,6.0,3.0,2.0,0.5,2.0,0.0,0.0,0.0,0.0,56.0,36.0,35.0,15.0,6.0,37.0,10.0,27.0,36.0,65.0,3.0,2143.0,239.0,649.0,988.0,522.0,71.0,2143.0,1285.0,78.0,52.0,16.0,1359.0,67.0,34.0,0.0,56.0,42.0,5.0,0.0,1.0,0.0,203.0,64.0,52.0,55.2
diff --git a/fbref_data/teams_vs.csv b/fbref_data/teams_vs.csv
index 7c8ccf8..f474d6b 100644
--- a/fbref_data/teams_vs.csv
+++ b/fbref_data/teams_vs.csv
@@ -1,21 +1,21 @@
team,players_used,possession,games,games_starts,minutes,goals,assists,pens_made,pens_att,cards_yellow,cards_red,goals_per90,assists_per90,goals_assists_per90,goals_pens_per90,goals_assists_pens_per90,xg,npxg,xg_per90,npxg_per90,gk_games,gk_games_starts,gk_minutes,gk_goals_against,gk_goals_against_per90,gk_shots_on_target_against,gk_saves,gk_save_pct,gk_wins,gk_ties,gk_losses,gk_clean_sheets,gk_clean_sheets_pct,gk_pens_att,gk_pens_allowed,gk_pens_saved,gk_pens_missed,minutes_90s,gk_free_kick_goals_against,gk_corner_kick_goals_against,gk_own_goals_against,gk_psxg,gk_psnpxg_per_shot_on_target_against,gk_psxg_net,gk_psxg_net_per90,gk_passes_completed_launched,gk_passes_launched,gk_passes_pct_launched,gk_passes,gk_passes_throws,gk_pct_passes_launched,gk_passes_length_avg,gk_goal_kicks,gk_pct_goal_kicks_launched,gk_goal_kick_length_avg,gk_crosses,gk_crosses_stopped,gk_crosses_stopped_pct,gk_def_actions_outside_pen_area,gk_def_actions_outside_pen_area_per90,gk_avg_distance_def_actions,shots_on_target,shots_free_kicks,shots_on_target_pct,shots_on_target_per90,goals_per_shot,goals_per_shot_on_target,npxg_per_shot,xg_net,npxg_net,passes_completed,passes,passes_pct,passes_total_distance,passes_progressive_distance,passes_completed_short,passes_short,passes_pct_short,passes_completed_medium,passes_medium,passes_pct_medium,passes_completed_long,passes_long,passes_pct_long,assisted_shots,passes_into_final_third,passes_into_penalty_area,crosses_into_penalty_area,progressive_passes,passes_live,passes_dead,passes_free_kicks,through_balls,passes_switches,crosses,corner_kicks,corner_kicks_in,corner_kicks_out,corner_kicks_straight,throw_ins,passes_offsides,passes_blocked,sca,sca_per90,sca_passes_live,sca_passes_dead,sca_shots,sca_fouled,gca,gca_per90,gca_passes_live,gca_passes_dead,gca_shots,gca_fouled,gca_defense,tackles,tackles_won,tackles_def_3rd,tackles_mid_3rd,tackles_att_3rd,blocks,blocked_shots,blocked_passes,interceptions,clearances,errors,touches,touches_def_pen_area,touches_def_3rd,touches_mid_3rd,touches_att_3rd,touches_att_pen_area,touches_live_ball,carries,progressive_carries,carries_into_final_third,carries_into_penalty_area,passes_received,miscontrols,dispossessed,cards_yellow_red,fouls,fouled,offsides,pens_won,pens_conceded,own_goals,ball_recoveries,aerials_won,aerials_lost,aerials_won_pct
-vs Atalanta,20.0,48.3,3.0,33.0,270.0,2.0,2.0,0.0,0.0,4.0,0.0,0.67,0.67,1.33,0.67,1.33,1.5,1.5,0.51,0.51,3.0,3.0,270.0,6.0,2.0,18.0,12.0,66.7,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,2.0,0.0,3.5,0.19,-2.5,-0.83,6.0,36.0,16.7,126.0,10.0,25.4,31.3,20.0,20.0,26.4,54.0,1.0,1.9,2.0,0.67,21.0,10.0,1.0,31.3,3.33,0.06,0.2,0.05,0.5,0.5,1305.0,1593.0,81.9,21713.0,7532.0,634.0,687.0,92.3,524.0,593.0,88.4,112.0,227.0,49.3,26.0,91.0,17.0,5.0,85.0,1442.0,149.0,40.0,3.0,6.0,36.0,13.0,8.0,4.0,0.0,55.0,2.0,37.0,55.0,18.33,44.0,6.0,1.0,1.0,3.0,1.0,0.0,2.0,0.0,0.0,1.0,43.0,23.0,21.0,20.0,2.0,35.0,13.0,22.0,34.0,62.0,1.0,1904.0,267.0,746.0,831.0,344.0,42.0,1904.0,1108.0,52.0,33.0,10.0,1287.0,36.0,25.0,0.0,28.0,33.0,2.0,0.0,0.0,0.0,157.0,44.0,42.0,51.2
-vs Bologna,20.0,44.7,3.0,33.0,270.0,4.0,4.0,0.0,0.0,6.0,0.0,1.33,1.33,2.67,1.33,2.67,2.2,2.2,0.73,0.73,3.0,3.0,270.0,3.0,1.0,16.0,13.0,81.3,1.0,1.0,1.0,1.0,33.3,1.0,0.0,0.0,1.0,3.0,0.0,0.0,0.0,3.5,0.23,0.5,0.17,14.0,34.0,41.2,81.0,19.0,28.4,30.2,22.0,50.0,39.9,35.0,5.0,14.3,3.0,1.0,11.9,9.0,2.0,30.0,3.0,0.13,0.44,0.07,1.8,1.8,1155.0,1423.0,81.2,19626.0,6826.0,523.0,582.0,89.9,495.0,566.0,87.5,101.0,181.0,55.8,24.0,94.0,27.0,12.0,120.0,1280.0,136.0,33.0,1.0,6.0,55.0,14.0,6.0,5.0,0.0,55.0,7.0,31.0,53.0,17.67,47.0,1.0,2.0,2.0,8.0,2.67,8.0,0.0,0.0,0.0,0.0,37.0,26.0,22.0,11.0,4.0,34.0,10.0,24.0,29.0,35.0,2.0,1728.0,177.0,535.0,783.0,419.0,65.0,1728.0,1057.0,55.0,38.0,14.0,1142.0,47.0,25.0,0.0,32.0,30.0,7.0,0.0,1.0,0.0,157.0,23.0,29.0,44.2
-vs Cagliari,19.0,65.0,3.0,33.0,270.0,4.0,3.0,0.0,1.0,3.0,0.0,1.33,1.0,2.33,1.33,2.33,4.2,3.4,1.4,1.13,3.0,3.0,270.0,1.0,0.33,5.0,4.0,80.0,2.0,1.0,0.0,2.0,66.7,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,2.2,0.44,1.2,0.39,16.0,38.0,42.1,81.0,18.0,28.4,32.3,32.0,46.9,46.8,39.0,1.0,2.6,1.0,0.33,10.7,12.0,0.0,27.9,4.0,0.09,0.33,0.08,-0.2,0.6,1674.0,1997.0,83.8,29040.0,9856.0,774.0,854.0,90.6,699.0,775.0,90.2,149.0,262.0,56.9,28.0,136.0,34.0,9.0,162.0,1840.0,153.0,37.0,4.0,15.0,65.0,20.0,11.0,7.0,0.0,60.0,4.0,25.0,75.0,25.0,60.0,5.0,6.0,3.0,6.0,2.0,5.0,0.0,1.0,0.0,0.0,52.0,31.0,28.0,17.0,7.0,26.0,8.0,18.0,16.0,48.0,0.0,2296.0,164.0,611.0,1152.0,552.0,77.0,2295.0,1500.0,64.0,58.0,14.0,1659.0,44.0,19.0,0.0,27.0,29.0,4.0,0.0,0.0,0.0,165.0,44.0,37.0,54.3
-vs Empoli,26.0,52.0,3.0,33.0,270.0,5.0,3.0,0.0,1.0,6.0,0.0,1.67,1.0,2.67,1.67,2.67,5.2,4.4,1.72,1.46,3.0,3.0,270.0,0.0,0.0,10.0,10.0,100.0,3.0,0.0,0.0,3.0,100.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,1.4,0.14,1.4,0.45,15.0,46.0,32.6,89.0,13.0,37.1,35.2,23.0,56.5,47.0,35.0,4.0,11.4,6.0,2.0,17.0,13.0,1.0,27.7,4.33,0.11,0.38,0.09,-0.2,0.6,1148.0,1444.0,79.5,22320.0,7526.0,478.0,545.0,87.7,483.0,557.0,86.7,171.0,279.0,61.3,39.0,81.0,36.0,14.0,116.0,1286.0,152.0,40.0,7.0,21.0,55.0,17.0,4.0,7.0,0.0,64.0,6.0,32.0,87.0,29.0,68.0,5.0,4.0,3.0,7.0,2.33,4.0,0.0,1.0,0.0,0.0,62.0,39.0,34.0,24.0,4.0,31.0,7.0,24.0,30.0,61.0,1.0,1794.0,193.0,586.0,776.0,447.0,85.0,1793.0,988.0,58.0,43.0,17.0,1135.0,42.0,11.0,0.0,45.0,38.0,6.0,1.0,0.0,0.0,152.0,42.0,30.0,58.3
-vs Fiorentina,21.0,37.7,3.0,33.0,270.0,7.0,6.0,1.0,1.0,6.0,0.0,2.33,2.0,4.33,2.0,4.0,4.1,3.4,1.38,1.13,3.0,3.0,270.0,6.0,2.0,11.0,5.0,45.5,1.0,1.0,1.0,1.0,33.3,0.0,0.0,0.0,0.0,3.0,0.0,2.0,0.0,3.1,0.3,-2.9,-0.95,22.0,49.0,44.9,74.0,7.0,52.7,38.3,13.0,76.9,48.5,32.0,3.0,9.4,0.0,0.0,5.0,14.0,1.0,46.7,4.67,0.2,0.43,0.12,2.9,2.6,786.0,1042.0,75.4,14593.0,5849.0,331.0,395.0,83.8,339.0,409.0,82.9,94.0,167.0,56.3,24.0,50.0,22.0,8.0,91.0,908.0,131.0,42.0,2.0,10.0,34.0,7.0,0.0,4.0,0.0,54.0,3.0,25.0,55.0,18.33,38.0,4.0,5.0,3.0,13.0,4.33,8.0,0.0,1.0,1.0,2.0,53.0,35.0,24.0,24.0,5.0,40.0,6.0,34.0,23.0,42.0,1.0,1329.0,166.0,462.0,597.0,286.0,44.0,1328.0,722.0,34.0,31.0,7.0,776.0,31.0,20.0,0.0,42.0,36.0,3.0,1.0,0.0,0.0,142.0,38.0,32.0,54.3
-vs Frosinone,21.0,54.0,3.0,33.0,270.0,4.0,3.0,0.0,0.0,7.0,0.0,1.33,1.0,2.33,1.33,2.33,4.7,4.7,1.55,1.55,3.0,3.0,270.0,3.0,1.0,7.0,4.0,71.4,1.0,1.0,1.0,1.0,33.3,1.0,1.0,0.0,0.0,3.0,0.0,1.0,0.0,2.1,0.15,-0.9,-0.32,10.0,32.0,31.3,74.0,8.0,31.1,31.2,23.0,39.1,36.9,24.0,0.0,0.0,5.0,1.67,19.8,20.0,1.0,40.8,6.67,0.08,0.2,0.1,-0.7,-0.7,1290.0,1580.0,81.6,22236.0,7888.0,594.0,665.0,89.3,549.0,629.0,87.3,114.0,203.0,56.2,39.0,96.0,28.0,7.0,143.0,1426.0,150.0,37.0,4.0,6.0,63.0,16.0,6.0,6.0,0.0,65.0,4.0,28.0,93.0,31.0,74.0,6.0,4.0,1.0,7.0,2.33,6.0,0.0,1.0,0.0,0.0,52.0,26.0,30.0,16.0,6.0,27.0,9.0,18.0,16.0,34.0,0.0,1878.0,156.0,486.0,895.0,513.0,77.0,1878.0,1158.0,67.0,49.0,19.0,1279.0,41.0,22.0,0.0,41.0,31.0,4.0,0.0,1.0,0.0,168.0,46.0,42.0,52.3
-vs Genoa,18.0,67.0,3.0,33.0,270.0,5.0,4.0,0.0,0.0,9.0,0.0,1.67,1.33,3.0,1.67,3.0,2.8,2.8,0.95,0.95,3.0,3.0,270.0,2.0,0.67,7.0,5.0,71.4,2.0,0.0,1.0,1.0,33.3,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0,1.1,0.16,-0.9,-0.29,5.0,14.0,35.7,86.0,15.0,12.8,28.1,17.0,17.6,29.4,21.0,1.0,4.8,2.0,0.67,17.6,10.0,2.0,28.6,3.33,0.14,0.5,0.08,2.2,2.2,1718.0,2055.0,83.6,29705.0,8916.0,802.0,878.0,91.3,722.0,815.0,88.6,165.0,260.0,63.5,20.0,144.0,26.0,6.0,182.0,1896.0,153.0,39.0,3.0,12.0,88.0,23.0,8.0,12.0,0.0,69.0,6.0,42.0,55.0,18.33,39.0,5.0,3.0,3.0,9.0,3.0,3.0,1.0,2.0,0.0,0.0,28.0,18.0,10.0,15.0,3.0,25.0,3.0,22.0,17.0,34.0,0.0,2325.0,141.0,508.0,1177.0,660.0,77.0,2325.0,1641.0,104.0,72.0,18.0,1702.0,45.0,26.0,0.0,35.0,31.0,6.0,0.0,0.0,0.0,148.0,32.0,44.0,42.1
-vs Hellas Verona,19.0,55.3,3.0,33.0,270.0,4.0,2.0,1.0,1.0,6.0,0.0,1.33,0.67,2.0,1.0,1.67,3.9,3.2,1.32,1.05,3.0,3.0,270.0,4.0,1.33,10.0,6.0,60.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0,2.3,0.23,-1.7,-0.58,12.0,50.0,24.0,88.0,16.0,47.7,39.3,21.0,38.1,38.0,21.0,3.0,14.3,2.0,0.67,12.0,17.0,5.0,35.4,5.67,0.06,0.18,0.07,0.1,-0.2,1003.0,1351.0,74.2,17796.0,6836.0,444.0,514.0,86.4,436.0,533.0,81.8,96.0,225.0,42.7,34.0,61.0,19.0,1.0,90.0,1157.0,188.0,49.0,6.0,9.0,60.0,24.0,10.0,11.0,0.0,83.0,6.0,28.0,87.0,29.0,60.0,7.0,8.0,7.0,7.0,2.33,4.0,0.0,2.0,1.0,0.0,39.0,21.0,19.0,16.0,4.0,19.0,2.0,17.0,17.0,24.0,2.0,1599.0,136.0,474.0,737.0,404.0,75.0,1598.0,815.0,63.0,37.0,20.0,989.0,33.0,28.0,0.0,37.0,47.0,6.0,1.0,0.0,0.0,138.0,54.0,71.0,43.2
-vs Inter,18.0,48.7,3.0,33.0,270.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,1.8,1.8,0.6,0.6,3.0,3.0,270.0,8.0,2.67,17.0,9.0,58.8,0.0,0.0,3.0,0.0,0.0,1.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,5.3,0.26,-2.7,-0.89,14.0,39.0,35.9,84.0,15.0,31.0,33.2,24.0,54.2,46.9,45.0,0.0,0.0,4.0,1.33,16.5,6.0,0.0,20.0,2.0,0.0,0.0,0.06,-1.8,-1.8,1261.0,1502.0,84.0,24183.0,7787.0,501.0,558.0,89.8,552.0,622.0,88.7,177.0,246.0,72.0,22.0,89.0,26.0,8.0,112.0,1362.0,137.0,34.0,1.0,21.0,51.0,8.0,0.0,7.0,0.0,51.0,3.0,30.0,52.0,17.33,44.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28.0,17.0,18.0,7.0,3.0,28.0,14.0,14.0,26.0,62.0,1.0,1788.0,214.0,593.0,813.0,395.0,54.0,1788.0,1158.0,62.0,46.0,12.0,1249.0,35.0,26.0,0.0,34.0,30.0,3.0,0.0,1.0,0.0,128.0,24.0,36.0,40.0
-vs Juventus,21.0,47.0,3.0,33.0,270.0,1.0,1.0,0.0,0.0,5.0,0.0,0.33,0.33,0.67,0.33,0.67,1.8,1.8,0.61,0.61,3.0,3.0,270.0,6.0,2.0,12.0,5.0,58.3,0.0,1.0,2.0,0.0,0.0,2.0,1.0,1.0,0.0,3.0,0.0,1.0,0.0,4.7,0.23,-1.3,-0.42,10.0,37.0,27.0,79.0,17.0,38.0,33.4,16.0,43.8,40.1,45.0,0.0,0.0,2.0,0.67,12.1,9.0,2.0,25.7,3.0,0.03,0.11,0.05,-0.8,-0.8,1168.0,1412.0,82.7,20227.0,6605.0,509.0,561.0,90.7,482.0,551.0,87.5,123.0,206.0,59.7,25.0,98.0,20.0,3.0,107.0,1270.0,137.0,44.0,2.0,8.0,60.0,12.0,7.0,1.0,0.0,51.0,5.0,23.0,64.0,21.33,53.0,2.0,3.0,2.0,2.0,0.67,2.0,0.0,0.0,0.0,0.0,37.0,21.0,25.0,8.0,4.0,40.0,11.0,29.0,17.0,48.0,2.0,1718.0,203.0,558.0,780.0,398.0,44.0,1718.0,1054.0,68.0,47.0,12.0,1163.0,46.0,20.0,0.0,39.0,36.0,5.0,0.0,2.0,0.0,134.0,22.0,26.0,45.8
-vs Lazio,19.0,46.7,3.0,33.0,270.0,4.0,2.0,0.0,0.0,5.0,0.0,1.33,0.67,2.0,1.33,2.0,3.3,3.3,1.09,1.09,3.0,3.0,270.0,3.0,1.0,8.0,5.0,62.5,2.0,0.0,1.0,1.0,33.3,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,2.6,0.32,-0.4,-0.15,15.0,27.0,55.6,73.0,13.0,21.9,27.7,21.0,52.4,40.8,45.0,3.0,6.7,5.0,1.67,12.9,14.0,2.0,28.0,4.67,0.08,0.29,0.07,0.7,0.7,1216.0,1493.0,81.4,21556.0,7235.0,527.0,591.0,89.2,536.0,613.0,87.4,114.0,204.0,55.9,36.0,87.0,21.0,7.0,99.0,1353.0,134.0,36.0,2.0,9.0,50.0,13.0,4.0,4.0,1.0,54.0,6.0,23.0,91.0,30.33,67.0,9.0,8.0,3.0,7.0,2.33,5.0,1.0,1.0,0.0,0.0,39.0,18.0,22.0,10.0,7.0,39.0,9.0,30.0,34.0,77.0,1.0,1840.0,208.0,587.0,831.0,438.0,72.0,1840.0,1094.0,59.0,34.0,16.0,1206.0,44.0,19.0,0.0,36.0,31.0,6.0,0.0,0.0,0.0,155.0,39.0,26.0,60.0
-vs Lecce,18.0,55.0,3.0,33.0,270.0,3.0,3.0,0.0,0.0,6.0,0.0,1.0,1.0,2.0,1.0,2.0,4.0,4.0,1.33,1.33,3.0,3.0,270.0,6.0,2.0,15.0,9.0,66.7,0.0,1.0,2.0,0.0,0.0,1.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,3.8,0.19,-2.2,-0.72,12.0,30.0,40.0,92.0,14.0,26.1,28.8,11.0,54.5,38.2,32.0,2.0,6.3,3.0,1.0,12.9,12.0,3.0,38.7,4.0,0.1,0.25,0.13,-1.0,-1.0,1195.0,1484.0,80.5,20984.0,7968.0,514.0,581.0,88.5,523.0,600.0,87.2,122.0,204.0,59.8,25.0,75.0,30.0,5.0,130.0,1336.0,144.0,45.0,11.0,13.0,46.0,10.0,2.0,2.0,0.0,64.0,4.0,44.0,59.0,19.67,47.0,4.0,3.0,2.0,6.0,2.0,5.0,1.0,0.0,0.0,0.0,62.0,38.0,33.0,17.0,12.0,40.0,19.0,21.0,22.0,47.0,1.0,1803.0,161.0,549.0,927.0,344.0,48.0,1803.0,1006.0,40.0,30.0,5.0,1179.0,38.0,32.0,0.0,47.0,43.0,4.0,0.0,1.0,0.0,150.0,33.0,46.0,41.8
-vs Milan,18.0,46.0,3.0,33.0,270.0,2.0,2.0,0.0,0.0,7.0,0.0,0.67,0.67,1.33,0.67,1.33,2.2,2.2,0.74,0.74,3.0,3.0,270.0,8.0,2.67,16.0,8.0,68.8,0.0,0.0,3.0,0.0,0.0,3.0,3.0,0.0,0.0,3.0,0.0,0.0,0.0,6.5,0.22,-1.5,-0.49,11.0,27.0,40.7,60.0,13.0,31.7,32.0,14.0,57.1,46.1,28.0,1.0,3.6,2.0,0.67,12.7,8.0,2.0,21.1,2.67,0.05,0.25,0.06,-0.2,-0.2,1149.0,1386.0,82.9,20923.0,7346.0,520.0,570.0,91.2,483.0,554.0,87.2,128.0,201.0,63.7,27.0,103.0,19.0,8.0,109.0,1273.0,108.0,34.0,2.0,18.0,51.0,7.0,3.0,3.0,0.0,40.0,5.0,23.0,66.0,22.0,51.0,3.0,4.0,4.0,3.0,1.0,1.0,0.0,1.0,0.0,0.0,45.0,19.0,18.0,23.0,4.0,29.0,9.0,20.0,20.0,34.0,0.0,1646.0,167.0,470.0,830.0,365.0,51.0,1646.0,926.0,56.0,45.0,11.0,1139.0,31.0,11.0,0.0,40.0,31.0,5.0,0.0,3.0,0.0,145.0,34.0,27.0,55.7
-vs Monza,21.0,44.7,3.0,33.0,270.0,5.0,5.0,0.0,0.0,3.0,0.0,1.67,1.67,3.33,1.67,3.33,4.9,4.9,1.63,1.63,3.0,3.0,270.0,2.0,0.67,9.0,7.0,77.8,2.0,0.0,1.0,2.0,66.7,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,1.4,0.15,-0.6,-0.2,9.0,23.0,39.1,76.0,17.0,21.1,27.1,28.0,25.0,34.3,38.0,1.0,2.6,4.0,1.33,15.6,17.0,1.0,29.3,5.67,0.09,0.29,0.08,0.1,0.1,1209.0,1441.0,83.9,20860.0,7796.0,573.0,643.0,89.1,451.0,496.0,90.9,137.0,213.0,64.3,49.0,91.0,29.0,12.0,129.0,1302.0,133.0,38.0,9.0,19.0,58.0,20.0,5.0,9.0,0.0,42.0,6.0,21.0,103.0,34.33,77.0,10.0,8.0,2.0,9.0,3.0,8.0,0.0,1.0,0.0,0.0,46.0,32.0,22.0,17.0,7.0,39.0,11.0,28.0,21.0,45.0,0.0,1753.0,174.0,503.0,759.0,510.0,94.0,1753.0,1094.0,68.0,41.0,20.0,1197.0,32.0,31.0,0.0,26.0,35.0,6.0,0.0,0.0,0.0,144.0,37.0,27.0,57.8
-vs Napoli,18.0,39.7,3.0,33.0,270.0,3.0,2.0,1.0,1.0,6.0,1.0,1.0,0.67,1.67,0.67,1.33,1.7,0.9,0.57,0.3,3.0,3.0,270.0,6.0,2.0,17.0,11.0,70.6,1.0,0.0,2.0,0.0,0.0,2.0,1.0,0.0,1.0,3.0,0.0,0.0,0.0,4.6,0.22,-1.4,-0.46,7.0,27.0,25.9,87.0,15.0,23.0,29.1,21.0,33.3,31.3,51.0,1.0,2.0,3.0,1.0,12.3,3.0,1.0,20.0,1.0,0.13,0.67,0.06,1.3,1.1,1016.0,1231.0,82.5,15719.0,6136.0,549.0,600.0,91.5,353.0,401.0,88.0,71.0,148.0,48.0,13.0,55.0,10.0,1.0,81.0,1100.0,125.0,43.0,1.0,6.0,24.0,10.0,2.0,6.0,0.0,29.0,6.0,23.0,31.0,10.33,21.0,2.0,1.0,2.0,6.0,2.0,3.0,1.0,0.0,1.0,1.0,34.0,25.0,24.0,10.0,0.0,50.0,22.0,28.0,19.0,80.0,0.0,1558.0,280.0,714.0,636.0,226.0,36.0,1557.0,774.0,41.0,30.0,13.0,1008.0,45.0,23.0,0.0,33.0,33.0,6.0,1.0,2.0,0.0,124.0,19.0,33.0,36.5
-vs Roma,21.0,41.7,3.0,33.0,270.0,6.0,4.0,1.0,1.0,9.0,2.0,2.0,1.33,3.33,1.67,3.0,2.4,1.8,0.81,0.58,3.0,3.0,270.0,4.0,1.33,12.0,8.0,66.7,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0,2.3,0.21,-1.7,-0.58,23.0,76.0,30.3,102.0,11.0,43.1,38.4,39.0,82.1,57.9,67.0,9.0,13.4,2.0,0.67,7.9,8.0,0.0,50.0,2.67,0.31,0.63,0.11,3.6,3.2,900.0,1152.0,78.1,16917.0,6430.0,360.0,418.0,86.1,423.0,485.0,87.2,99.0,203.0,48.8,14.0,49.0,9.0,2.0,65.0,1017.0,133.0,42.0,0.0,11.0,19.0,7.0,3.0,1.0,0.0,38.0,2.0,17.0,30.0,10.0,21.0,2.0,3.0,2.0,11.0,3.67,7.0,0.0,2.0,1.0,1.0,27.0,20.0,18.0,7.0,2.0,31.0,11.0,20.0,23.0,74.0,0.0,1443.0,231.0,570.0,687.0,199.0,30.0,1442.0,804.0,36.0,25.0,12.0,892.0,37.0,23.0,1.0,41.0,36.0,2.0,1.0,0.0,0.0,114.0,45.0,64.0,41.3
-vs Salernitana,21.0,50.0,3.0,33.0,270.0,5.0,4.0,1.0,1.0,7.0,0.0,1.67,1.33,3.0,1.33,2.67,4.4,3.7,1.47,1.23,3.0,3.0,270.0,3.0,1.0,10.0,7.0,70.0,1.0,2.0,0.0,1.0,33.3,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,2.8,0.28,-0.2,-0.05,17.0,38.0,44.7,64.0,8.0,45.3,36.2,11.0,81.8,57.6,30.0,1.0,3.3,3.0,1.0,15.3,14.0,2.0,30.4,4.67,0.09,0.29,0.08,0.6,0.3,981.0,1284.0,76.4,18065.0,6870.0,422.0,488.0,86.5,428.0,524.0,81.7,110.0,214.0,51.4,37.0,87.0,23.0,13.0,101.0,1127.0,155.0,36.0,1.0,10.0,65.0,20.0,12.0,1.0,0.0,73.0,2.0,13.0,83.0,27.67,53.0,12.0,9.0,3.0,8.0,2.67,5.0,1.0,1.0,0.0,0.0,51.0,32.0,18.0,28.0,5.0,30.0,2.0,28.0,28.0,46.0,0.0,1613.0,151.0,467.0,736.0,423.0,63.0,1612.0,927.0,51.0,36.0,8.0,973.0,51.0,17.0,0.0,48.0,34.0,2.0,0.0,0.0,0.0,151.0,68.0,37.0,64.8
-vs Sassuolo,22.0,57.0,3.0,33.0,270.0,5.0,4.0,1.0,2.0,3.0,0.0,1.67,1.33,3.0,1.33,2.67,5.4,3.9,1.81,1.29,3.0,3.0,270.0,3.0,1.0,11.0,8.0,81.8,2.0,0.0,1.0,2.0,66.7,1.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,3.3,0.21,0.3,0.09,8.0,32.0,25.0,88.0,14.0,29.5,29.1,11.0,54.5,44.6,31.0,3.0,9.7,4.0,1.33,17.1,11.0,0.0,22.0,3.67,0.08,0.36,0.08,-0.4,0.1,1445.0,1715.0,84.3,25372.0,8443.0,669.0,728.0,91.9,602.0,667.0,90.3,150.0,243.0,61.7,41.0,90.0,33.0,8.0,138.0,1597.0,108.0,26.0,5.0,17.0,66.0,20.0,4.0,11.0,1.0,44.0,10.0,24.0,93.0,31.0,75.0,8.0,5.0,2.0,10.0,3.33,8.0,1.0,0.0,1.0,0.0,46.0,29.0,20.0,19.0,7.0,33.0,11.0,22.0,16.0,50.0,0.0,2009.0,172.0,637.0,884.0,501.0,94.0,2007.0,1239.0,65.0,50.0,19.0,1420.0,36.0,19.0,0.0,35.0,25.0,10.0,1.0,1.0,0.0,159.0,40.0,30.0,57.1
-vs Torino,20.0,46.3,3.0,33.0,270.0,4.0,2.0,2.0,2.0,8.0,0.0,1.33,0.67,2.0,0.67,1.33,3.6,2.0,1.2,0.68,3.0,3.0,270.0,2.0,0.67,6.0,4.0,66.7,1.0,1.0,1.0,1.0,33.3,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,1.2,0.19,-0.8,-0.28,24.0,57.0,42.1,128.0,14.0,35.2,36.4,18.0,66.7,51.1,43.0,6.0,14.0,4.0,1.33,16.4,9.0,1.0,30.0,3.0,0.07,0.22,0.07,0.4,0.0,937.0,1229.0,76.2,17298.0,6954.0,417.0,480.0,86.9,386.0,464.0,83.2,117.0,233.0,50.2,21.0,60.0,14.0,2.0,81.0,1108.0,116.0,42.0,7.0,7.0,29.0,5.0,3.0,2.0,0.0,38.0,5.0,16.0,58.0,19.33,40.0,5.0,1.0,6.0,7.0,2.33,5.0,0.0,0.0,1.0,0.0,44.0,27.0,23.0,17.0,4.0,22.0,5.0,17.0,29.0,48.0,0.0,1497.0,202.0,619.0,628.0,273.0,43.0,1495.0,862.0,40.0,31.0,11.0,906.0,39.0,23.0,0.0,32.0,33.0,5.0,1.0,0.0,0.0,151.0,46.0,41.0,52.9
-vs Udinese,18.0,53.3,3.0,33.0,270.0,4.0,3.0,1.0,1.0,9.0,0.0,1.33,1.0,2.33,1.0,2.0,4.1,3.3,1.37,1.11,3.0,3.0,270.0,1.0,0.33,17.0,16.0,94.1,1.0,2.0,0.0,2.0,66.7,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,4.0,0.24,3.0,1.0,11.0,40.0,27.5,83.0,14.0,38.6,34.4,19.0,42.1,39.1,47.0,2.0,4.3,3.0,1.0,13.2,8.0,0.0,27.6,2.67,0.1,0.38,0.12,-0.1,-0.3,1102.0,1405.0,78.4,18633.0,6974.0,527.0,600.0,87.8,427.0,501.0,85.2,107.0,221.0,48.4,21.0,71.0,24.0,6.0,100.0,1255.0,143.0,48.0,3.0,7.0,43.0,15.0,3.0,6.0,0.0,42.0,7.0,21.0,48.0,16.0,39.0,2.0,5.0,0.0,6.0,2.0,6.0,0.0,0.0,0.0,0.0,54.0,37.0,29.0,23.0,2.0,23.0,13.0,10.0,22.0,56.0,2.0,1710.0,208.0,576.0,766.0,383.0,62.0,1709.0,902.0,51.0,40.0,15.0,1086.0,41.0,19.0,0.0,31.0,41.0,7.0,0.0,0.0,0.0,137.0,38.0,48.0,44.2
+vs Atalanta,23.0,50.5,4.0,44.0,360.0,5.0,4.0,0.0,0.0,5.0,0.0,1.25,1.0,2.25,1.25,2.25,2.6,2.6,0.66,0.66,4.0,4.0,360.0,8.0,2.0,22.0,14.0,63.6,2.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,0.0,4.3,0.19,-3.7,-0.93,16.0,51.0,31.4,164.0,17.0,28.0,32.6,25.0,20.0,26.4,59.0,2.0,3.4,3.0,0.75,17.5,18.0,1.0,38.3,4.5,0.11,0.28,0.06,2.4,2.4,1761.0,2153.0,81.8,30316.0,10955.0,818.0,897.0,91.2,726.0,831.0,87.4,170.0,312.0,54.5,40.0,131.0,29.0,7.0,136.0,1947.0,204.0,56.0,4.0,9.0,52.0,16.0,8.0,6.0,0.0,83.0,2.0,49.0,84.0,21.0,68.0,8.0,2.0,1.0,9.0,2.25,4.0,3.0,0.0,0.0,1.0,62.0,38.0,27.0,29.0,6.0,55.0,16.0,39.0,39.0,73.0,1.0,2584.0,323.0,916.0,1144.0,548.0,62.0,2584.0,1536.0,73.0,53.0,13.0,1736.0,58.0,38.0,0.0,36.0,47.0,2.0,0.0,0.0,0.0,212.0,65.0,60.0,52.0
+vs Bologna,22.0,43.5,4.0,44.0,360.0,4.0,4.0,0.0,0.0,10.0,0.0,1.0,1.0,2.0,1.0,2.0,2.6,2.6,0.65,0.65,4.0,4.0,360.0,3.0,0.75,20.0,17.0,85.0,1.0,2.0,1.0,2.0,50.0,1.0,0.0,0.0,1.0,4.0,0.0,0.0,0.0,4.1,0.21,1.1,0.27,22.0,55.0,40.0,106.0,20.0,34.9,33.2,29.0,62.1,47.1,45.0,5.0,11.1,3.0,0.75,11.5,10.0,2.0,25.6,2.5,0.1,0.4,0.07,1.4,1.4,1456.0,1810.0,80.4,25775.0,9073.0,619.0,697.0,88.8,653.0,741.0,88.1,142.0,254.0,55.9,30.0,118.0,31.0,13.0,150.0,1623.0,175.0,44.0,2.0,10.0,72.0,17.0,6.0,8.0,0.0,72.0,12.0,41.0,69.0,17.25,56.0,4.0,4.0,4.0,8.0,2.0,8.0,0.0,0.0,0.0,0.0,52.0,37.0,26.0,19.0,7.0,37.0,12.0,25.0,33.0,51.0,2.0,2202.0,227.0,681.0,1007.0,531.0,80.0,2202.0,1299.0,69.0,49.0,17.0,1431.0,62.0,30.0,0.0,50.0,40.0,12.0,0.0,1.0,0.0,207.0,34.0,46.0,42.5
+vs Cagliari,21.0,62.3,4.0,44.0,360.0,4.0,3.0,0.0,1.0,4.0,0.0,1.0,0.75,1.75,1.0,1.75,4.9,4.1,1.23,1.04,4.0,4.0,360.0,1.0,0.25,6.0,5.0,83.3,2.0,2.0,0.0,3.0,75.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,2.3,0.39,1.3,0.33,16.0,41.0,39.0,105.0,22.0,22.9,30.6,43.0,39.5,41.9,55.0,1.0,1.8,2.0,0.5,13.0,13.0,0.0,24.1,3.25,0.07,0.31,0.08,-0.9,-0.1,2074.0,2485.0,83.5,36018.0,12461.0,953.0,1055.0,90.3,866.0,969.0,89.4,189.0,332.0,56.9,38.0,173.0,41.0,11.0,206.0,2283.0,197.0,52.0,5.0,20.0,83.0,26.0,11.0,13.0,0.0,71.0,5.0,29.0,97.0,24.25,74.0,10.0,7.0,3.0,6.0,1.5,5.0,0.0,1.0,0.0,0.0,69.0,45.0,37.0,24.0,8.0,38.0,10.0,28.0,28.0,68.0,1.0,2890.0,229.0,812.0,1432.0,667.0,99.0,2889.0,1859.0,85.0,68.0,18.0,2050.0,61.0,27.0,0.0,38.0,41.0,5.0,0.0,0.0,0.0,220.0,60.0,51.0,54.1
+vs Empoli,27.0,52.3,4.0,44.0,360.0,11.0,8.0,1.0,2.0,8.0,0.0,2.75,2.0,4.75,2.5,4.5,7.5,5.9,1.88,1.49,4.0,4.0,360.0,0.0,0.0,12.0,12.0,100.0,4.0,0.0,0.0,4.0,100.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,1.7,0.15,1.7,0.43,19.0,51.0,37.3,118.0,16.0,32.2,33.6,28.0,46.4,41.5,54.0,6.0,11.1,6.0,1.5,14.8,21.0,2.0,35.0,5.25,0.17,0.48,0.1,3.5,4.1,1676.0,2041.0,82.1,31329.0,10367.0,731.0,815.0,89.7,709.0,806.0,88.0,215.0,338.0,63.6,49.0,101.0,42.0,16.0,144.0,1851.0,182.0,45.0,8.0,22.0,62.0,19.0,6.0,7.0,0.0,81.0,8.0,42.0,112.0,28.0,87.0,6.0,6.0,4.0,17.0,4.25,12.0,0.0,2.0,0.0,0.0,87.0,57.0,47.0,35.0,5.0,42.0,9.0,33.0,35.0,78.0,1.0,2493.0,274.0,897.0,1061.0,552.0,103.0,2491.0,1472.0,84.0,61.0,24.0,1661.0,50.0,22.0,0.0,60.0,42.0,8.0,1.0,0.0,0.0,203.0,54.0,39.0,58.1
+vs Fiorentina,22.0,39.0,4.0,44.0,360.0,9.0,8.0,1.0,1.0,8.0,0.0,2.25,2.0,4.25,2.0,4.0,4.8,4.1,1.21,1.02,4.0,4.0,360.0,9.0,2.25,19.0,10.0,52.6,1.0,1.0,2.0,1.0,25.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,0.0,5.1,0.27,-3.9,-0.98,25.0,64.0,39.1,102.0,13.0,48.0,37.9,19.0,78.9,55.0,45.0,4.0,8.9,0.0,0.0,8.8,18.0,1.0,43.9,4.5,0.2,0.44,0.1,4.2,3.9,1101.0,1465.0,75.2,20156.0,8085.0,469.0,560.0,83.8,473.0,562.0,84.2,126.0,238.0,52.9,33.0,69.0,28.0,9.0,123.0,1281.0,179.0,50.0,4.0,14.0,40.0,11.0,0.0,8.0,0.0,80.0,5.0,42.0,72.0,18.0,48.0,6.0,7.0,3.0,17.0,4.25,12.0,0.0,1.0,1.0,2.0,80.0,52.0,42.0,31.0,7.0,53.0,9.0,44.0,39.0,66.0,2.0,1877.0,234.0,684.0,824.0,391.0,59.0,1876.0,1043.0,53.0,40.0,11.0,1091.0,44.0,33.0,0.0,56.0,43.0,5.0,1.0,0.0,0.0,202.0,56.0,53.0,51.4
+vs Frosinone,23.0,51.8,4.0,44.0,360.0,6.0,5.0,0.0,0.0,9.0,0.0,1.5,1.25,2.75,1.5,2.75,5.9,5.9,1.48,1.48,4.0,4.0,360.0,7.0,1.75,13.0,6.0,61.5,1.0,1.0,2.0,1.0,25.0,2.0,2.0,0.0,0.0,4.0,0.0,2.0,0.0,4.8,0.22,-2.2,-0.54,15.0,47.0,31.9,98.0,11.0,35.7,32.6,32.0,37.5,36.3,33.0,0.0,0.0,12.0,3.0,23.0,27.0,2.0,40.3,6.75,0.09,0.22,0.09,0.1,0.1,1600.0,1980.0,80.8,27918.0,10232.0,735.0,825.0,89.1,685.0,785.0,87.3,147.0,271.0,54.2,54.0,125.0,37.0,7.0,190.0,1769.0,205.0,51.0,9.0,9.0,74.0,22.0,9.0,7.0,0.0,85.0,6.0,37.0,127.0,31.75,105.0,8.0,4.0,2.0,11.0,2.75,10.0,0.0,1.0,0.0,0.0,66.0,33.0,38.0,21.0,7.0,34.0,11.0,23.0,25.0,55.0,1.0,2375.0,218.0,661.0,1079.0,655.0,105.0,2375.0,1426.0,87.0,61.0,27.0,1588.0,51.0,28.0,0.0,50.0,39.0,6.0,0.0,2.0,0.0,212.0,53.0,52.0,50.5
+vs Genoa,19.0,66.8,4.0,44.0,360.0,7.0,6.0,0.0,0.0,11.0,0.0,1.75,1.5,3.25,1.75,3.25,3.8,3.8,0.95,0.95,4.0,4.0,360.0,4.0,1.0,10.0,6.0,60.0,2.0,1.0,1.0,1.0,25.0,0.0,0.0,0.0,0.0,4.0,0.0,3.0,0.0,2.3,0.25,-1.7,-0.43,5.0,16.0,31.3,94.0,16.0,13.8,28.1,20.0,15.0,27.6,33.0,1.0,3.0,4.0,1.0,17.9,14.0,3.0,29.8,3.5,0.15,0.5,0.08,3.2,3.2,2268.0,2703.0,83.9,38209.0,11424.0,1083.0,1177.0,92.0,947.0,1073.0,88.3,188.0,308.0,61.0,31.0,193.0,42.0,9.0,244.0,2498.0,196.0,53.0,4.0,15.0,102.0,24.0,8.0,13.0,0.0,91.0,9.0,52.0,77.0,19.25,59.0,5.0,3.0,4.0,13.0,3.25,7.0,1.0,2.0,0.0,0.0,47.0,31.0,15.0,26.0,6.0,31.0,4.0,27.0,24.0,48.0,0.0,3068.0,178.0,626.0,1590.0,878.0,105.0,3068.0,2108.0,132.0,103.0,21.0,2247.0,57.0,33.0,0.0,43.0,43.0,9.0,0.0,0.0,0.0,200.0,46.0,60.0,43.4
+vs Hellas Verona,21.0,56.5,4.0,44.0,360.0,4.0,2.0,1.0,1.0,8.0,0.0,1.0,0.5,1.5,0.75,1.25,4.6,3.8,1.14,0.95,4.0,4.0,360.0,4.0,1.0,11.0,7.0,63.6,1.0,1.0,2.0,1.0,25.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,0.0,2.4,0.22,-1.6,-0.39,18.0,64.0,28.1,131.0,19.0,42.7,36.5,24.0,33.3,35.3,33.0,3.0,9.1,2.0,0.5,12.1,21.0,5.0,35.6,5.25,0.05,0.14,0.07,-0.6,-0.8,1509.0,1936.0,77.9,26680.0,9898.0,656.0,749.0,87.6,668.0,791.0,84.5,143.0,296.0,48.3,43.0,86.0,29.0,5.0,127.0,1691.0,238.0,72.0,6.0,10.0,75.0,28.0,12.0,12.0,0.0,101.0,7.0,29.0,108.0,27.0,79.0,7.0,9.0,7.0,7.0,1.75,4.0,0.0,2.0,1.0,0.0,47.0,26.0,23.0,19.0,5.0,31.0,5.0,26.0,22.0,39.0,3.0,2281.0,215.0,755.0,1050.0,498.0,98.0,2280.0,1296.0,79.0,47.0,24.0,1488.0,49.0,37.0,0.0,47.0,63.0,7.0,1.0,0.0,0.0,190.0,71.0,82.0,46.4
+vs Inter,19.0,51.3,4.0,44.0,360.0,1.0,1.0,0.0,0.0,5.0,0.0,0.25,0.25,0.5,0.25,0.5,2.9,2.9,0.71,0.71,4.0,4.0,360.0,13.0,3.25,24.0,11.0,54.2,0.0,0.0,4.0,0.0,0.0,2.0,2.0,0.0,0.0,4.0,0.0,0.0,0.0,9.1,0.31,-3.9,-0.96,15.0,40.0,37.5,112.0,18.0,23.2,30.3,27.0,51.9,45.3,54.0,0.0,0.0,4.0,1.0,14.9,8.0,1.0,20.5,2.0,0.03,0.13,0.07,-1.9,-1.9,1754.0,2055.0,85.4,32260.0,10313.0,738.0,816.0,90.4,759.0,841.0,90.2,207.0,290.0,71.4,30.0,120.0,37.0,10.0,151.0,1872.0,178.0,50.0,2.0,23.0,59.0,8.0,0.0,7.0,0.0,65.0,5.0,35.0,69.0,17.25,58.0,1.0,1.0,2.0,2.0,0.5,2.0,0.0,0.0,0.0,0.0,36.0,22.0,21.0,10.0,5.0,41.0,18.0,23.0,31.0,80.0,1.0,2432.0,268.0,746.0,1156.0,546.0,69.0,2432.0,1630.0,79.0,66.0,14.0,1733.0,55.0,33.0,0.0,47.0,44.0,5.0,0.0,2.0,0.0,163.0,30.0,44.0,40.5
+vs Juventus,21.0,51.3,4.0,44.0,360.0,2.0,2.0,0.0,0.0,6.0,0.0,0.5,0.5,1.0,0.5,1.0,2.4,2.4,0.6,0.6,4.0,4.0,360.0,9.0,2.25,19.0,9.0,57.9,0.0,1.0,3.0,0.0,0.0,2.0,1.0,1.0,0.0,4.0,0.0,1.0,0.0,5.9,0.21,-3.1,-0.77,10.0,37.0,27.0,109.0,20.0,27.5,31.6,20.0,35.0,35.6,54.0,0.0,0.0,2.0,0.5,11.7,14.0,3.0,27.5,3.5,0.04,0.14,0.05,-0.4,-0.4,1747.0,2066.0,84.6,29660.0,9622.0,793.0,872.0,90.9,698.0,789.0,88.5,173.0,268.0,64.6,39.0,150.0,31.0,5.0,165.0,1877.0,184.0,57.0,3.0,9.0,79.0,21.0,9.0,6.0,0.0,61.0,5.0,30.0,91.0,22.75,73.0,5.0,5.0,3.0,2.0,0.5,2.0,0.0,0.0,0.0,0.0,46.0,27.0,27.0,13.0,6.0,47.0,12.0,35.0,23.0,56.0,3.0,2462.0,270.0,753.0,1101.0,631.0,66.0,2462.0,1453.0,96.0,61.0,14.0,1739.0,60.0,25.0,0.0,52.0,49.0,5.0,0.0,2.0,0.0,173.0,26.0,38.0,40.6
+vs Lazio,20.0,44.0,4.0,44.0,360.0,7.0,5.0,0.0,0.0,10.0,0.0,1.75,1.25,3.0,1.75,3.0,5.5,5.5,1.36,1.36,4.0,4.0,360.0,4.0,1.0,13.0,9.0,69.2,3.0,0.0,1.0,1.0,25.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,3.5,0.27,-0.5,-0.12,23.0,41.0,56.1,99.0,17.0,28.3,29.6,24.0,54.2,42.0,62.0,3.0,4.8,5.0,1.25,12.2,21.0,2.0,31.3,5.25,0.1,0.33,0.09,1.5,1.5,1519.0,1868.0,81.3,27353.0,9374.0,641.0,717.0,89.4,684.0,781.0,87.6,148.0,267.0,55.4,51.0,109.0,29.0,8.0,129.0,1684.0,177.0,48.0,2.0,15.0,61.0,20.0,5.0,8.0,1.0,65.0,7.0,29.0,122.0,30.5,87.0,15.0,12.0,4.0,13.0,3.25,11.0,1.0,1.0,0.0,0.0,53.0,24.0,31.0,14.0,8.0,50.0,15.0,35.0,44.0,94.0,1.0,2319.0,278.0,801.0,998.0,537.0,99.0,2319.0,1323.0,75.0,44.0,20.0,1506.0,53.0,22.0,0.0,49.0,44.0,7.0,0.0,0.0,0.0,196.0,51.0,30.0,63.0
+vs Lecce,19.0,56.5,4.0,44.0,360.0,4.0,4.0,0.0,0.0,12.0,1.0,1.0,1.0,2.0,1.0,2.0,6.2,6.2,1.54,1.54,4.0,4.0,360.0,7.0,1.75,18.0,11.0,72.2,0.0,2.0,2.0,0.0,0.0,2.0,2.0,0.0,0.0,4.0,0.0,0.0,0.0,5.5,0.2,-1.5,-0.38,13.0,32.0,40.6,117.0,22.0,22.2,27.1,13.0,46.2,35.8,40.0,3.0,7.5,3.0,0.75,12.2,17.0,3.0,30.4,4.25,0.07,0.24,0.11,-2.2,-2.2,1682.0,2064.0,81.5,30090.0,10531.0,708.0,795.0,89.1,760.0,864.0,88.0,171.0,275.0,62.2,43.0,115.0,45.0,7.0,192.0,1863.0,196.0,56.0,11.0,18.0,75.0,20.0,6.0,5.0,0.0,90.0,5.0,60.0,101.0,25.25,80.0,8.0,4.0,3.0,8.0,2.0,7.0,1.0,0.0,0.0,0.0,81.0,48.0,40.0,27.0,14.0,42.0,19.0,23.0,28.0,57.0,1.0,2480.0,205.0,684.0,1177.0,641.0,89.0,2480.0,1425.0,65.0,56.0,8.0,1663.0,56.0,40.0,1.0,64.0,53.0,5.0,0.0,2.0,0.0,203.0,43.0,54.0,44.3
+vs Milan,19.0,44.8,4.0,44.0,360.0,7.0,6.0,1.0,1.0,9.0,0.0,1.75,1.5,3.25,1.5,3.0,4.9,4.1,1.22,1.02,4.0,4.0,360.0,9.0,2.25,18.0,9.0,66.7,1.0,0.0,3.0,0.0,0.0,3.0,3.0,0.0,0.0,4.0,0.0,0.0,0.0,6.9,0.22,-2.1,-0.52,16.0,36.0,44.4,91.0,20.0,29.7,31.1,22.0,40.9,37.0,34.0,2.0,5.9,2.0,0.5,11.9,14.0,3.0,27.5,3.5,0.12,0.43,0.08,2.1,1.9,1454.0,1763.0,82.5,26524.0,9660.0,648.0,713.0,90.9,603.0,690.0,87.4,168.0,266.0,63.2,37.0,127.0,25.0,11.0,136.0,1603.0,153.0,47.0,3.0,25.0,63.0,12.0,6.0,4.0,0.0,56.0,7.0,33.0,91.0,22.75,68.0,6.0,5.0,6.0,11.0,2.75,8.0,0.0,1.0,1.0,0.0,57.0,26.0,22.0,31.0,4.0,36.0,12.0,24.0,25.0,44.0,0.0,2110.0,234.0,642.0,1020.0,470.0,71.0,2109.0,1233.0,68.0,54.0,16.0,1442.0,41.0,15.0,0.0,56.0,43.0,7.0,1.0,3.0,0.0,176.0,42.0,33.0,56.0
+vs Monza,22.0,43.3,4.0,44.0,360.0,6.0,5.0,1.0,1.0,4.0,1.0,1.5,1.25,2.75,1.25,2.5,5.8,5.0,1.45,1.25,4.0,4.0,360.0,3.0,0.75,14.0,11.0,78.6,2.0,1.0,1.0,2.0,50.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,3.0,0.21,0.0,-0.01,12.0,32.0,37.5,97.0,21.0,18.6,25.6,46.0,30.4,34.1,60.0,1.0,1.7,5.0,1.25,14.8,19.0,1.0,31.1,4.75,0.08,0.26,0.08,0.2,0.0,1510.0,1807.0,83.6,26285.0,9815.0,701.0,788.0,89.0,586.0,656.0,89.3,167.0,261.0,64.0,52.0,112.0,31.0,13.0,150.0,1622.0,179.0,55.0,9.0,19.0,70.0,21.0,5.0,10.0,0.0,50.0,6.0,25.0,110.0,27.5,80.0,11.0,8.0,3.0,11.0,2.75,8.0,0.0,1.0,1.0,1.0,60.0,40.0,32.0,21.0,7.0,59.0,19.0,40.0,31.0,76.0,0.0,2247.0,255.0,710.0,960.0,601.0,110.0,2246.0,1402.0,91.0,47.0,27.0,1497.0,52.0,44.0,0.0,37.0,52.0,6.0,1.0,0.0,0.0,187.0,45.0,37.0,54.9
+vs Napoli,19.0,38.3,4.0,44.0,360.0,5.0,4.0,1.0,1.0,9.0,1.0,1.25,1.0,2.25,1.0,2.0,2.9,2.1,0.71,0.52,4.0,4.0,360.0,8.0,2.0,21.0,13.0,66.7,1.0,1.0,2.0,0.0,0.0,2.0,1.0,0.0,1.0,4.0,0.0,0.0,0.0,5.8,0.23,-2.2,-0.56,18.0,50.0,36.0,118.0,16.0,29.7,31.5,29.0,51.7,40.1,62.0,1.0,1.6,3.0,0.75,10.5,6.0,1.0,26.1,1.5,0.17,0.67,0.09,2.1,1.9,1255.0,1566.0,80.1,19997.0,8148.0,663.0,733.0,90.5,444.0,519.0,85.5,96.0,205.0,46.8,20.0,70.0,14.0,2.0,104.0,1390.0,169.0,54.0,1.0,7.0,39.0,13.0,2.0,8.0,0.0,45.0,7.0,30.0,46.0,11.5,32.0,4.0,3.0,2.0,9.0,2.25,4.0,2.0,1.0,1.0,1.0,49.0,33.0,32.0,16.0,1.0,63.0,27.0,36.0,26.0,97.0,0.0,1987.0,350.0,906.0,784.0,323.0,47.0,1986.0,983.0,56.0,42.0,15.0,1243.0,56.0,33.0,0.0,47.0,39.0,7.0,1.0,2.0,0.0,173.0,35.0,47.0,42.7
+vs Roma,23.0,43.0,4.0,44.0,360.0,6.0,4.0,1.0,1.0,11.0,2.0,1.5,1.0,2.5,1.25,2.25,2.7,2.0,0.67,0.5,4.0,4.0,360.0,11.0,2.75,21.0,11.0,52.4,2.0,1.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,4.0,0.0,2.0,1.0,6.3,0.27,-3.7,-0.92,24.0,78.0,30.8,124.0,16.0,37.1,35.9,41.0,78.0,56.2,73.0,10.0,13.7,2.0,0.5,8.6,10.0,0.0,41.7,2.5,0.21,0.5,0.08,3.3,3.0,1356.0,1678.0,80.8,24302.0,8651.0,584.0,655.0,89.2,619.0,697.0,88.8,125.0,250.0,50.0,20.0,85.0,14.0,5.0,100.0,1495.0,179.0,59.0,0.0,13.0,44.0,13.0,5.0,4.0,0.0,51.0,4.0,29.0,45.0,11.25,33.0,3.0,3.0,3.0,11.0,2.75,7.0,0.0,2.0,1.0,1.0,46.0,33.0,21.0,19.0,6.0,42.0,13.0,29.0,33.0,83.0,1.0,2068.0,277.0,736.0,984.0,368.0,39.0,2067.0,1215.0,53.0,38.0,14.0,1342.0,47.0,33.0,1.0,46.0,51.0,4.0,1.0,1.0,1.0,159.0,54.0,76.0,41.5
+vs Salernitana,21.0,48.5,4.0,44.0,360.0,8.0,5.0,1.0,1.0,9.0,0.0,2.0,1.25,3.25,1.75,3.0,6.2,5.4,1.54,1.36,4.0,4.0,360.0,3.0,0.75,14.0,11.0,78.6,2.0,2.0,0.0,2.0,50.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,3.6,0.26,0.6,0.15,31.0,70.0,44.3,96.0,12.0,56.3,40.4,18.0,88.9,63.0,40.0,4.0,10.0,7.0,1.75,16.4,17.0,2.0,29.8,4.25,0.12,0.41,0.1,1.8,1.6,1318.0,1715.0,76.9,23999.0,9176.0,590.0,677.0,87.1,557.0,677.0,82.3,146.0,285.0,51.2,44.0,115.0,30.0,14.0,133.0,1520.0,191.0,50.0,1.0,13.0,77.0,22.0,13.0,2.0,0.0,85.0,4.0,17.0,101.0,25.25,67.0,13.0,11.0,4.0,13.0,3.25,9.0,1.0,2.0,0.0,0.0,62.0,41.0,24.0,31.0,7.0,44.0,4.0,40.0,39.0,62.0,0.0,2150.0,211.0,629.0,974.0,568.0,82.0,2149.0,1206.0,70.0,51.0,11.0,1301.0,71.0,22.0,0.0,64.0,46.0,4.0,0.0,0.0,0.0,203.0,86.0,54.0,61.4
+vs Sassuolo,24.0,56.5,4.0,44.0,360.0,9.0,6.0,2.0,3.0,7.0,0.0,2.25,1.5,3.75,1.75,3.25,8.2,5.9,2.06,1.48,4.0,4.0,360.0,5.0,1.25,18.0,13.0,77.8,3.0,0.0,1.0,2.0,50.0,1.0,1.0,0.0,0.0,4.0,0.0,0.0,0.0,5.1,0.23,0.1,0.04,10.0,42.0,23.8,123.0,20.0,27.6,27.7,14.0,57.1,44.7,39.0,3.0,7.7,5.0,1.25,18.4,16.0,0.0,24.6,4.0,0.11,0.44,0.09,0.8,1.1,1849.0,2203.0,83.9,32031.0,11238.0,865.0,944.0,91.6,751.0,833.0,90.2,187.0,308.0,60.7,53.0,116.0,42.0,10.0,176.0,2032.0,156.0,36.0,7.0,18.0,80.0,25.0,5.0,12.0,1.0,66.0,15.0,30.0,119.0,29.75,93.0,11.0,7.0,4.0,16.0,4.0,11.0,2.0,1.0,2.0,0.0,56.0,37.0,25.0,22.0,9.0,47.0,17.0,30.0,22.0,66.0,0.0,2599.0,250.0,853.0,1108.0,657.0,119.0,2596.0,1606.0,77.0,62.0,25.0,1819.0,52.0,25.0,0.0,45.0,34.0,15.0,2.0,1.0,0.0,207.0,50.0,37.0,57.5
+vs Torino,22.0,48.8,4.0,44.0,360.0,4.0,2.0,2.0,2.0,10.0,0.0,1.0,0.5,1.5,0.5,1.0,4.3,2.7,1.08,0.68,4.0,4.0,360.0,5.0,1.25,9.0,4.0,44.4,1.0,1.0,2.0,1.0,25.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,0.0,2.2,0.24,-2.8,-0.71,24.0,60.0,40.0,147.0,16.0,32.7,35.0,22.0,54.5,46.0,55.0,7.0,12.7,4.0,1.0,15.5,13.0,1.0,29.5,3.25,0.05,0.15,0.06,-0.3,-0.7,1371.0,1775.0,77.2,23561.0,9175.0,658.0,754.0,87.3,536.0,643.0,83.4,138.0,278.0,49.6,34.0,91.0,20.0,4.0,113.0,1601.0,167.0,60.0,7.0,7.0,42.0,6.0,3.0,3.0,0.0,62.0,7.0,29.0,84.0,21.0,63.0,7.0,1.0,7.0,7.0,1.75,5.0,0.0,0.0,1.0,0.0,58.0,35.0,32.0,20.0,6.0,31.0,10.0,21.0,35.0,63.0,1.0,2135.0,251.0,805.0,912.0,445.0,64.0,2133.0,1272.0,61.0,48.0,21.0,1337.0,48.0,28.0,0.0,44.0,48.0,7.0,1.0,0.0,0.0,207.0,63.0,59.0,51.6
+vs Udinese,22.0,51.5,4.0,44.0,360.0,4.0,3.0,1.0,1.0,11.0,1.0,1.0,0.75,1.75,0.75,1.5,5.7,4.9,1.42,1.23,4.0,4.0,360.0,1.0,0.25,18.0,17.0,94.4,1.0,3.0,0.0,3.0,75.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,4.1,0.24,3.1,0.79,19.0,53.0,35.8,106.0,18.0,36.8,34.3,31.0,45.2,40.7,60.0,4.0,6.7,4.0,1.0,13.4,9.0,0.0,23.1,2.25,0.08,0.33,0.13,-1.7,-1.9,1412.0,1816.0,77.8,24453.0,9422.0,660.0,752.0,87.8,562.0,660.0,85.2,145.0,299.0,48.5,31.0,95.0,31.0,10.0,135.0,1604.0,202.0,60.0,5.0,9.0,61.0,19.0,4.0,9.0,0.0,71.0,10.0,32.0,66.0,16.5,52.0,5.0,5.0,0.0,6.0,1.5,6.0,0.0,0.0,0.0,0.0,67.0,43.0,34.0,30.0,3.0,27.0,14.0,13.0,27.0,75.0,2.0,2213.0,267.0,750.0,993.0,488.0,77.0,2212.0,1216.0,71.0,49.0,16.0,1393.0,61.0,25.0,1.0,43.0,51.0,10.0,0.0,0.0,0.0,188.0,52.0,64.0,44.8
diff --git a/mid_outputs/database_entries.xlsx b/mid_outputs/database_entries.xlsx
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index fb8dff6..44acdae 100644
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diff --git a/mid_outputs/players_votes.xlsx b/mid_outputs/players_votes.xlsx
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diff --git a/mid_outputs/team_data.xlsx b/mid_outputs/team_data.xlsx
index 04c78c9..5874fc3 100644
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index 6f26e28..f656c3d 100644
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diff --git a/outputs/pred_matchday_5.xlsx b/outputs/pred_matchday_5.xlsx
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