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+ " 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", + " 44.0\n", + " 360.0\n", + " 8.0\n", + " 8.0\n", " 0.0\n", " 0.0\n", " ...\n", + " 48.0\n", " 34.0\n", - " 27.0\n", - " 7.0\n", + " 9.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 172.0\n", - " 42.0\n", - " 44.0\n", - " 48.8\n", + " 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", + " 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", - " 25.0\n", - " 3.0\n", + " 42.0\n", + " 41.0\n", + " 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", + " 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", - " 34.0\n", - " 25.0\n", - " 4.0\n", + " 46.0\n", + " 35.0\n", + " 7.0\n", " 0.0\n", " 1.0\n", " 0.0\n", - " 190.0\n", - " 37.0\n", - " 44.0\n", - " 45.7\n", + " 241.0\n", + " 51.0\n", + " 60.0\n", + " 45.9\n", " \n", " \n", " 3\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", - " 38.0\n", - " 44.0\n", - " 5.0\n", + " 43.0\n", + " 59.0\n", + " 7.0\n", " 0.0\n", + " 2.0\n", " 1.0\n", - " 0.0\n", - " 131.0\n", - " 30.0\n", - " 42.0\n", - " 41.7\n", + " 176.0\n", + " 39.0\n", + " 54.0\n", + " 41.9\n", " \n", " \n", " 4\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", - " 41.0\n", - " 38.0\n", + " 49.0\n", + " 52.0\n", " 4.0\n", " 0.0\n", " 1.0\n", " 0.0\n", - " 141.0\n", - " 32.0\n", - " 38.0\n", - " 45.7\n", + " 196.0\n", + " 53.0\n", + " 56.0\n", + " 48.6\n", " \n", " \n", " 5\n", " Frosinone\n", - " 21.0\n", - " 46.0\n", - " 3.0\n", - " 33.0\n", - " 270.0\n", - " 3.0\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", - " 1.0\n", - " 1.0\n", " ...\n", - " 33.0\n", - " 40.0\n", - " 6.0\n", - " 1.0\n", + " 43.0\n", + " 49.0\n", + " 11.0\n", + " 2.0\n", " 0.0\n", " 0.0\n", - " 154.0\n", - " 42.0\n", - " 46.0\n", - " 47.7\n", + " 202.0\n", + " 52.0\n", + " 53.0\n", + " 49.5\n", " \n", " \n", " 6\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", - " 37.0\n", - " 29.0\n", - " 4.0\n", + " 51.0\n", + " 35.0\n", + " 5.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 128.0\n", - " 44.0\n", - " 32.0\n", - " 57.9\n", + " 177.0\n", + " 60.0\n", + " 46.0\n", + " 56.6\n", " \n", " \n", " 7\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", - " 48.0\n", - " 36.0\n", - " 7.0\n", + " 66.0\n", + " 46.0\n", + " 12.0\n", " 0.0\n", " 1.0\n", " 0.0\n", - " 157.0\n", + " 207.0\n", + " 82.0\n", " 71.0\n", - " 54.0\n", - " 56.8\n", + " 53.6\n", " \n", " \n", " 8\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", - " 31.0\n", - " 33.0\n", - " 3.0\n", - " 1.0\n", + " 47.0\n", + " 45.0\n", + " 5.0\n", + " 2.0\n", " 0.0\n", " 0.0\n", - " 156.0\n", - " 36.0\n", - " 24.0\n", - " 60.0\n", + " 187.0\n", + " 44.0\n", + " 30.0\n", + " 59.5\n", " \n", " \n", " 9\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", - " 38.0\n", - " 35.0\n", - " 9.0\n", + " 51.0\n", + " 48.0\n", + " 10.0\n", " 1.0\n", " 0.0\n", " 0.0\n", - " 140.0\n", + " 181.0\n", + " 38.0\n", " 26.0\n", - " 22.0\n", - " 54.2\n", + " 59.4\n", " \n", " \n", " 10\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", - " 34.0\n", - " 33.0\n", + " 47.0\n", + " 46.0\n", " 4.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 149.0\n", - " 26.0\n", - " 39.0\n", - " 40.0\n", + " 188.0\n", + " 30.0\n", + " 51.0\n", + " 37.0\n", " \n", " \n", " 11\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", + " 19.0\n", + " 43.5\n", + " 4.0\n", " 44.0\n", - " 45.0\n", + " 360.0\n", + " 7.0\n", + " 5.0\n", + " 2.0\n", + " 2.0\n", + " ...\n", + " 55.0\n", + " 62.0\n", " 3.0\n", + " 1.0\n", " 0.0\n", " 0.0\n", - " 0.0\n", - " 148.0\n", - " 46.0\n", - " 33.0\n", - " 58.2\n", + " 191.0\n", + " 54.0\n", + " 43.0\n", + " 55.7\n", " \n", " \n", " 12\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", - " 32.0\n", - " 39.0\n", - " 4.0\n", + " 45.0\n", + " 53.0\n", + " 6.0\n", " 2.0\n", + " 1.0\n", " 0.0\n", - " 0.0\n", - " 134.0\n", - " 27.0\n", - " 34.0\n", - " 44.3\n", + " 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/.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", - 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" 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", - " 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 @@ " 0.0\n", " 4.0\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", + " 3.2\n", + " 0.32\n", + " -0.8\n", + " 17.0\n", " 45.0\n", + " 106.0\n", + " 17.0\n", + " 22.0\n", + " 57.0\n", " 2.0\n", " \n", " \n", @@ -4004,16 +4023,16 @@ " 0.0\n", " 6.5\n", " ...\n", + " 4.1\n", + " 0.33\n", + " 0.1\n", + " 24.0\n", + " 54.0\n", + " 76.0\n", + " 18.0\n", + " 40.0\n", + " 62.0\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", " 44\n", @@ -4052,335 +4071,47 @@ " 0.0\n", " 5.0\n", " ...\n", - " 0.3\n", - " 0.13\n", - " -0.7\n", - " 3.0\n", - " 5.0\n", - " 47.0\n", - " 3.0\n", - " 4.0\n", - " 11.0\n", - " 0.0\n", - " \n", - " \n", - " 69\n", - " 1\n", - " Turati\n", - " Frosinone\n", - " Napoli\n", - " 1\n", - " 5.5\n", - " -3\n", - 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" ...\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. 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"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", - 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"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 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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", + "Berardi 0.22485207100591717\n", + "Immobile 0.3771712158808933\n", + "Vlahovic 0.4330484330484331\n", + "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", 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\n", 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" ] @@ -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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wcrDDO1N6Y9bgEHYB2SAGLERE1OoolQJWJ13FZ3vToVAK6OLrilVP9kfPIC6Oa6sYsBARUauSV1aFxRtTcfhyHgDgkagO+Nu0PnCVs8qzZbx6RETUahy7mo8XN6Qgt7QKzo52+OvDffD4wI7sAmoFGLAQEZHNUygFrNx/BV/8nA6lAIT7t8eqJ/sjIsDN0kWjZsKAhYiIbFpuaSUWbUjF0av5AIDHB3TEu1N7o50Tq7jWhFeTiIhs1pHLeVi0MQV5ZdVo52SPv03rg0f7d7R0scgMGLAQEZHNqVUo8cXPl7HywBUIAtAj0A0rZ/dHN//2li4amQkDFiIisinZxZVYuCEFv2YUAABmDe6Et6f0grOjvYVLRubEgIWIiGzGwUu5WPJ9GgrKq+HqZI/46Q/g4chgSxeLWgADFiIisno1CiU+3ZOOr5KuAgB6B7tj5ez+CPN1tXDJqKUwYCEiIqt2u+geFiSk4LcbhQCAp6JD8fqknuwCamMYsBARkdXadz4HL/+YhqKKGrjJHfDhYw9gUt8gSxeLLIABCxERWZ3qWiU+2nUR/z6SAQB4oKMHVs7qj04+7SxcMrIUBixERGRVsgoqMD8hBWlZRQCAPzwYhqVxPeDkYGfZgpFFMWAhIiKrsetsNl75MQ2llbVwd3bAJ49HIqZ3oKWLRVaAAQsREVlcVa0C8Tsu4puj1wEAUZ08sWJWFDp6sQuIVBiwEBGRRd3IL8f89Sk4c6sYAPDcyC54ObY7HO3ZBUQNGLAQEZHF/HT6NpZuOoOyqlp4tXPEpzMiMbZHgKWLRVaIAQsREbW4yhoF3vvpPNadyAQADOrsheWzohDk4WLhkpG1Mrm97dChQ5gyZQqCg4Mhk8mwZcsWjeefeeYZyGQyja+hQ4c2etxNmzahV69ekMvl6NWrFxITE00tGhER2YBrd8vwyJdHse5EJmQyYN6Yrkh4diiDFTLI5IClvLwckZGRWLlypeQ2EydOxJ07d8SvHTt2GDzmsWPHMHPmTMyZMwdpaWmYM2cOZsyYgRMnTphaPCIismJbUm7hoRVHcOFOCXxcnfDt7wfjldgecGC+CjVCJgiC0OSdZTIkJiZi2rRp4mPPPPMMioqKdFpeDJk5cyZKSkqwc+dO8bGJEyfCy8sLCQkJRh2jpKQEHh4eKC4uhru7u9F/m4iIzO9etQLvbDuHjaeyAABDu3jjiyeiEODubOGSkaUZW3+bJaQ9ePAg/P39ERERgWeffRa5ubkGtz927BhiYmI0HouNjcXRo0cl96mqqkJJSYnGFxERWZ/LOaWYuuoINp7KgkwGvDguHOv+NJTBCpmk2ZNu4+Li8PjjjyM0NBQZGRl46623MHbsWPz222+Qy+V698nOzkZAgGZWeEBAALKzsyX/Tnx8PN59991mLTsRETWvH05l4S9bz+FejQJ+bnJ8MbMfhnXztXSxyAY1e8Ayc+ZM8ec+ffpg4MCBCA0Nxfbt2/Hoo49K7ieTyTR+FwRB5zF1y5Ytw5IlS8TfS0pKEBISch8lJyKi5lJeVYu3tp7F5uRbAIDh3Xzx+cx+8HPTf+NK1BizD2sOCgpCaGgoLl++LLlNYGCgTmtKbm6uTquLOrlcLtliQ0RElnMxuwTz1iXj6t1y2MmAJRMi8MLobrC3k74JJWqM2dOy8/PzkZWVhaAg6eXAo6OjsXfvXo3H9uzZg2HDhpm7eERE1EwEQcCGXzMxdeUvuHq3HAHuciQ8OxTzx4YzWKH7ZnILS1lZGa5cuSL+npGRgdTUVHh7e8Pb2xvvvPMOpk+fjqCgIFy/fh2vv/46fH198cgjj4j7PPXUU+jQoQPi4+MBAC+++CJGjhyJDz/8EFOnTsXWrVuxb98+HDlypBlOkYiIzK2sqhavbz6DbWm3AQCjIvzw2YxI+LRnSzg1D5MDllOnTmHMmDHi7/V5JE8//TRWr16NM2fO4LvvvkNRURGCgoIwZswYbNy4EW5ubuI+mZmZsLNraNwZNmwYNmzYgDfffBNvvfUWunbtio0bN2LIkCH3c25ERNQCzt0uxvz1KcjIK4e9nQyvxHbHn0d0gR1bVagZ3dc8LNaE87AQEbUsQRCw9kQm3vvpPKprlQj2cMaK2VEYEOpt6aKRDTG2/uZaQkREZLKSyhos23QG28/cAQCM7+mPjx+LhJerk4VLRq0VAxYiIjLJ6ZtFmL8+BZkFFXCwk2FpXA/8cXiYwakoiO4XAxYiIjKKIAhY88t1xO+8gBqFgI5eLlg5uz/6hXhaumjUBjBgISKiRhVX1OCVH9Ow53wOACC2dwA+eiwSHi6OFi4ZtRUMWIiIyKCUzELMX5+CW0X34GRvhzcm98RT0aHsAqIWxYCFiIj0UioFfH0kAx/uuohapYBQn3ZYOas/+nb0sHTRqA1iwEJERDoKy6vx0g9p2H8xFwAw+YEgxD/aF+7O7AIiy2DAQkREGk5dL8CChBTcKa6Ek4Md3p7SC7MHd2IXEFkUAxYiIgKg6gL66tBVfLonHQqlgC6+rlg5uz96BXMyTrI8BixERIS8sios+T4Nh9LvAgCm9QvG3x7pi/ZyVhNkHfhOJCJq445fy8fChBTkllbB2dEOf324Dx4f2JFdQGRVGLAQEbVRCqWAVQeu4B/70qEUgG7+7bFqdn90D3RrfGeiFsaAhYioDcotrcTijan45Uo+AOCxAR3x16m90c6J1QJZJ74ziYjamF+u5OHFDanIK6uCi6M9/jatD6YP6GjpYhEZxICFiKiNqFUosfzny1hx4AoEAege4IZVT/ZHN//2li4aUaMYsBARtQE5JZVYkJCCXzMKAACzBofg7Sm94exob+GSERmHAQsRUSt38FIulnyfhoLyarg62eP9R/tiar8Oli4WkUkYsBARtVK1CiU+3ZuO1QevAgB6Bblj1ZP9EebrauGSEZmOAQsRUSt0u+geFiak4NSNQgDAnKGheGNyT3YBkc1iwEJE1Mr8fCEHL/2QhqKKGrjJHfDhYw9gUt8gSxeL6L4wYCEiaiWqa5X4ePdF/N/hDADAAx09sHJWf3TyaWfhkhHdPwYsREStQFZBBRYkpCA1qwgA8PsHO2NpXA/IHdgFRK0DAxYiIhu3+1w2XvkhDSWVtXB3dsDHj0citnegpYtF1KwYsBAR2aiqWgXid1zEN0evAwD6hXhi5ewodPRiFxC1PgxYiIhs0I38csxfn4Izt4oBAH8e2QWvxHaHo72dhUtGZB4MWIiIbMz203ewdNNplFbVwrOdIz6bEYmxPQIsXSwis2LAQkRkIyprFPjb9vNYezwTADAw1AvLZ0Uh2NPFwiUjMj8GLERENuDa3TLMW5+CC3dKAABzR3fFkgkRcGAXELURDFiIiKzc1tRbeH3zGZRXK+Dj6oTPZvbDqAg/SxeLqEUxYCEislL3qhV493/nsOFkFgBgaBdvfPFEFALcnS1cMqKWx4CFiMgKXcktxbx1KbiUUwqZDFgwNhwvjguHvZ3M0kUjsgiTOz8PHTqEKVOmIDg4GDKZDFu2bBGfq6mpwWuvvYa+ffvC1dUVwcHBeOqpp3D79m2Dx/zmm28gk8l0viorK00+ISIiW/fjbzcxZcUvuJRTCt/2cqz94xAsmRDBYIXaNJMDlvLyckRGRmLlypU6z1VUVCA5ORlvvfUWkpOTsXnzZqSnp+Phhx9u9Lju7u64c+eOxpezM5s9iajtqKiuxUvfp+HlH9Jwr0aBB7v5YMeLw/FgN19LF43I4kzuEoqLi0NcXJze5zw8PLB3716Nx1asWIHBgwcjMzMTnTp1kjyuTCZDYCCnkiaitulSdinmrvsNV++Ww04GLB4fgbljurFVhaiO2XNYiouLIZPJ4OnpaXC7srIyhIaGQqFQoF+/fnjvvfcQFRUluX1VVRWqqqrE30tKSpqryERELUYQBGw8mYW3t51DVa0SAe5yfPFEFIZ28bF00YisilkH8FdWVmLp0qWYPXs23N3dJbfr0aMHvvnmG2zbtg0JCQlwdnbGgw8+iMuXL0vuEx8fDw8PD/ErJCTEHKdARGQ2ZVW1WLQxFUs3n0FVrRKjIvywY+EIBitEesgEQRCavLNMhsTEREybNk3nuZqaGjz++OPIzMzEwYMHDQYs2pRKJfr374+RI0di+fLlerfR18ISEhKC4uJik/4WEZElnLtdjAXrU3Atrxz2djK8HNMdz43sAjt2AVEbU1JSAg8Pj0brb7N0CdXU1GDGjBnIyMjA/v37TQ4g7OzsMGjQIIMtLHK5HHK5/H6LSkTUogRBwNoTmXjvp/OorlUiyMMZK2ZFYWBnb0sXjciqNXvAUh+sXL58GQcOHICPj+lNm4IgIDU1FX379m3u4hERWUxJZQ2WbT6D7afvAADG9fDHJ49HwsvVycIlI7J+JgcsZWVluHLlivh7RkYGUlNT4e3tjeDgYDz22GNITk7GTz/9BIVCgezsbACAt7c3nJxU/5RPPfUUOnTogPj4eADAu+++i6FDhyI8PBwlJSVYvnw5UlNTsWrVquY4RyIiiztzsxjz1icjs6ACDnYyLI3rgT8OD4NMxi4gImOYHLCcOnUKY8aMEX9fsmQJAODpp5/GO++8g23btgEA+vXrp7HfgQMHMHr0aABAZmYm7Owa8n2Liorw5z//GdnZ2fDw8EBUVBQOHTqEwYMHm1o8IiKrIggCvj16He/vuIhqhRIdPF2wcnYUojp5WbpoRDblvpJurYmxSTtERC2luKIGr25Kw+5zOQCAmF4B+PixSHi0c7RwyYish0WTbomI2rqUzELMX5+CW0X34GRvh9cn9cDTwzqzC4ioiRiwEBE1I0EQ8O/DGfhw10XUKgV08m6HVbP7o29HD0sXjcimMWAhImomheXVePmHNPx8MRcAMLlvEOKn94W7M7uAiO4XAxYiomZw6noBFiak4HZxJZwc7PCXh3rhySGd2AVE1EwYsBAR3QelUsBXh67i0z3pUCgFhPm6YuXsKPQOZhcQUXNiwEJE1ET5ZVVY8n0aktLvAgCm9gvG3x/pi/ZyfrQSNTf+VxERNcGJa/lYuCEFOSVVkDvY4a9Te2PGwBB2ARGZCQMWIiITKJQCvjxwBZ/vS4dSALr5t8eq2f3RPdDN0kUjatUYsBARGeluaRUWbUzBL1fyAQDT+3fEe9N6o50TP0qJzI3/ZURERvjlSh5e3JCKvLIquDja471pffDYgI6WLhZRm8GAhYjIAIVSwBc/X8aK/ZchCED3ADesejIK3fzZBUTUkhiwEBFJyCmpxMKEFJzIKAAAPDEoBG9P6Q0XJ3sLl4yo7WHAQkSkR1L6XSzZmIr88mq4Otnj/Uf7Ymq/DpYuFlGbxYCFiEhNrUKJT/emY/XBqwCAnkHuWDU7Cl382lu4ZERtGwMWIqI6t4vuYWFCCk7dKAQAzBkaijcm94SzI7uAiCyNAQsREYD9F3Ow5Ps0FFXUwE3ugA+mP4DJDwRZulhEVIcBCxG1aTUKJT7efQn/OnQNANC3gwdWzo5CqI+rhUtGROoYsBBRm3WzsALz16cgNasIAPDMsM5YNqkH5A7sAiKyNgxYiKhN2n0uG6/8kIaSylq4Ozvg48cjEds70NLFIiIJDFiIqE2pqlXgg50XseaX6wCAfiGeWDErCiHe7SxbMCIyiAELEbUZmfkVmLc+GWduFQMAnh0Rhldie8DJwc7CJSOixjBgIaI2YceZO3jtx9MoraqFZztHfPp4JMb1DLB0sYjISAxYiKhVq6xR4O/bL+C/x28AAAaGemH5rCgEe7pYuGREZAoGLETUamXklWPeumScv1MCAJg7uisWT4iAoz27gIhsDQMWImqVtqbewuubz6C8WgFvVyd8PrMfRkX4WbpYRNREDFiIqFWprFHg3f+dQ8KvWQCAIWHeWD4rCgHuzhYuGRHdDwYsRNRqXMktw7x1ybiUUwqZDFgwphsWjguHA7uAiGweAxYiahU2/XYTb245i3s1Cvi2l+MfM/theLivpYtFRM2EAQsR2bSK6lr8Zes5/PjbTQDAg9188PnMfvB3YxcQUWvCgIWIbFZ6TinmrUvG5dwy2MmAReMjMG9MN9jbySxdNCJqZgxYiMjmCIKA709l4e1t51BZo4S/mxzLZ0VhaBcfSxeNiMzE5Ey0Q4cOYcqUKQgODoZMJsOWLVs0nhcEAe+88w6Cg4Ph4uKC0aNH49y5c40ed9OmTejVqxfkcjl69eqFxMREU4tGRG1AWVUtFm9MxWubzqCyRomREX7Y8eIIBitErZzJAUt5eTkiIyOxcuVKvc9/9NFH+Oyzz7By5UqcPHkSgYGBmDBhAkpLSyWPeezYMcycORNz5sxBWloa5syZgxkzZuDEiROmFo+IWrHzt0vw8Ioj2JJ6G/Z2Mrw6sTu+eWYQfNvLLV00IjIzmSAIQpN3lsmQmJiIadOmAVC1rgQHB2PRokV47bXXAABVVVUICAjAhx9+iOeee07vcWbOnImSkhLs3LlTfGzixInw8vJCQkKCUWUpKSmBh4cHiouL4e7u3tRTIiIrJAgC1p3IxF9/Oo/qWiWCPJyxfFYUBnX2tnTRiOg+GVt/N+vkBBkZGcjOzkZMTIz4mFwux6hRo3D06FHJ/Y4dO6axDwDExsYa3KeqqgolJSUaX0TU+pRW1mB+Qgre3HIW1bVKjOvhjx0LRzBYIWpjmjVgyc7OBgAEBGiugBoQECA+J7WfqfvEx8fDw8ND/AoJCbmPkhORNTpzsxgPrTiC7afvwMFOhjcm9cS/nx4IL1cnSxeNiFqYWaZ/lMk0hxQKgqDz2P3us2zZMhQXF4tfWVlZTS8wEVkVQRDwzS8ZmL76KG7kV6CDpwu+fz4az47s0uhnCRG1Ts06rDkwMBCAqsUkKChIfDw3N1enBUV7P+3WlMb2kcvlkMuZaEfU2hTfq8FrP57GrnOqz4SYXgH4+LFIeLRztHDJiMiSmrWFJSwsDIGBgdi7d6/4WHV1NZKSkjBs2DDJ/aKjozX2AYA9e/YY3IeIWp/UrCJMXn4Yu85lw9Fehren9MI/5wxgsEJEprewlJWV4cqVK+LvGRkZSE1Nhbe3Nzp16oRFixbh/fffR3h4OMLDw/H++++jXbt2mD17trjPU089hQ4dOiA+Ph4A8OKLL2LkyJH48MMPMXXqVGzduhX79u3DkSNHmuEUicjaCYKAr49k4IOdF1GrFNDJux1Wzo7CAx09LV00IrISJgcsp06dwpgxY8TflyxZAgB4+umn8c033+DVV1/FvXv3MHfuXBQWFmLIkCHYs2cP3NzcxH0yMzNhZ9fQuDNs2DBs2LABb775Jt566y107doVGzduxJAhQ+7n3IjIBhRVVOPlH9Kw70IuAGBS30B8MP0BuDuzVYWIGtzXPCzWhPOwENme324UYMH6FNwuroSTgx3eeqgXfjekExNridoQY+tvriVERC1OqRTwz0PX8MmeS1AoBYT5umLl7Cj0DvawdNGIyEoxYCGiFpVfVoWXfkjDwUt3AQBT+wXj74/0RXu59MdReno6rl69im7duiE8PLylikpEVoQBCxG1mBPX8rFwQwpySqogd7DDuw/3xsxBIZJdQAUFBZj9u9nYvXO3+FhsXCwS1iXAy8urpYpNRFaAAQsRmZ1CKeDLA1fw+b50KAWgq58rVj3ZHz0CDeebzf7dbOw7tA94FEAogBvAvt37MOvJWdi1Y1eLlJ2IrAMDFiIyq7ulVVi8MRVHruQBAKb374j3pvVGOyfDHz/p6emqlpVHATxQ9+ADgEJQYHfibly+fJndQ0RtCAMWIjKbo1fy8OLGVNwtrYKLoz3em9YHjw3oaNS+V69eVf0QqvVEZ9W3K1euMGAhakMYsBBRs1MoBXzx82Ws2H8ZggBEBLTHqtn9ER7g1vjOdbp27ar64QYaWlgA4LrqW7du3ZqruERkAxiwEFGzyimpxIsbUnD8WgEA4IlBIXh7Sm+4ONmbdJyIiAiMHTcWB3YcgFAiAO0BlAOywzKMGT+GrStEbQwDFiJqNofS72LxxlTkl1fD1cke7z/aF1P7dWjy8WpqayBUC8C+hscEOwE1NTXNUFoisiUMWKjV4xwe5lerUOKzven48qAq76RnkDtWzY5CF7/2erffvXs3Tpw4gejoaEyYMEHvNunp6Th86DAgBzAJ4igh7AAOHzrMpFuiNoYBC7VaLTGHhzEVb73WGjjdKb6HhQkpOHm9EADwu6Gd8ObkXnB21O0Cunr1KoZED0H+3XzxMR8/H5w8cRJhYWEa2yYlJQECVMGK2ighCAASVc+3ptfRXFrr+47aHgYs1GqZcw4PUyre1jz52YGLuVjyfSoKK2rQXu6AD6b3xUMPBEtuPyR6CPJL8jWuSf72fAwaMgh5uXn6d5IYJUSGteb3HbVNXPyQWqX09HR0795dcw4PAEgDkKh6/n7uNn39fVUV72Q0dFVsB3zcfXQq3omTJmLfoX1QxCrEbe1322P8yPE2O/lZjUKJT3Zfwj8PXQMA9O3ggZWzoxDq4yq5z+7duzFx4kTJa7Jnzx6NVipzX8PWbuz4sTiQdACoVXvQARg7eix+3vuz3n3YGkOWYGz9bdeCZSJqMcbM4dFUu3fvVrWsTIaqIvWo+z4JyL+bj71794rb1k9+pohVaGyriFFg907V5Ge25mZhBWb885gYrDwzrDN+fCHaYLACACdOnFD9IHFNjh07pruTDMB2qIKU4rrvO+oeJ0np6ek4sP+Aqg39UQCL6747APt/3q/zvisoKMDESRPRvXt3TJo0CREREZg4aSIKCwstUHoi/RiwUKukMYeHuuuqb/czh4cpFa85AydL2HMuG5OXH0FKZhHcnR3w1e8G4J2He0Pu0PiQ5SFDhqh+kLgm0dHRGg+LOSy1ABIBfF73vRaAUPc86aWT/1MfVMdB72un0X1aF9zsO6TqPiWyFsxhoVYpIiICsXGx2Ld7HxSCQhUgXAfs99hjfNz4+2ru1qh49Uxopl7xtpbJz6prlYjfeQFrfrkOAIgM8cTKWVEI8W5n9DFiY2Ph4+eD/O35qsq0M1Svww5V/o920vK5c+dUP0wF0AFAAQBvADcBJKo9T9KMyP/hEghkKxiwUKuVsC4Bs56chd2JDUmH4+PGI2Fdwn0dNzY2Fo5yR9Rsr9GpeB3ljhoVrzkDp5aSmV+B+QnJOH2zGADw7IgwvBLbA04OpjfQnjxxEoOGDEJ+om6ysjalUqn6IRSqFgKfuicctJ7XwjwMYNSoUaofJAJl8XlwCQSyHQxYqNXy8vLCrh27cPnyZVy5cqXZKrD09HTUVNUAgVB1UdQLAGpyanTuSM0VOKmXx1wV9I4zd/Daj6dRWlULz3aO+OSxSIzvFdDk44WFhSEvNw979+7FsWPHDA4HDwio+zs3AAQDKERDCwuAoKAgje1bYlSMrQRDERER8Pb1RsH2Ap2g2tvXW6PsraUV0NJs5b1hyxiwkE0y5cOhuQfCiXeks6DKp6jvqnAA8LnuHam5BuKZs4KurFHg79sv4L/HVQknA0K9sHxWFDp4utzXcetJtY6oUygUqh+2AlCoPVGXLlNdXa2xvTmHsdvaEOH09HQU5BXoDaoLcgo0gurW0ApoSbb23rBpQitRXFwsABCKi4stXRQyo/z8fCE2LlaA6r5RACDExsUKBQUF97VtvUuXLgk7duwQ0tPTDW4DQMCjEPCO2tcjqr+hvW9sXKxg72qv2n6xaj97V3shNi626S+EGY977W6ZMOmLQ0Loaz8Joa/9JMTvuCBU1yoa3c+Y1+7KlSuCj5+PxjXx8fMRrl27prPtrl27BMggQA6Nc4QcAmQQ9uzZo/G3TbkmpjLXa20uO3bsUL0eiyFgAQQ8Wfd9ser12LFjh8b2BQUFZvlfsXXGnKOtvTeskbH1NwMWsimmfDiYsq2pwY147Efqjv2I/mObqyI113G3pt4Ser21Uwh97Sch6q97hAMXcxrdx5TXzsfPRxVwTICAaRAQowpAfPx8DJ/jkxAwGgLm6D9HjQpa/fWQqKBNYe5gyByaWub09PRGK+im3AjYGmPP0RbfG9bI2Pqbw5rJZpgyp4mp85+YOqwzYV0Cxo8crzHcdvxI3bwUcw1rbu7jVtYosGzzGSxMSEF5tQKDw7yxY+EIjO7u3+i+xr524vw1XgD2AtgCYA8AT935awC1obe7AKwDcBDAfwHs1noeWnkYeQAuA8hHs+RhaLzWl+vKcRVWPTQ9IiICPn4+euew8fHzkezmCQ8PR1xcnMFuoLYwBNrYc9R4b6i/7zqrHrbG94YtYw4L2QxTRjOYsm1ThnUKRualaFSkLgBuAQgBUKZ6WKoibSxHR+O4ehJSTamgr+SWYf76ZFzMLoVMBswf0w0vjguHg33j9zOmvHYnTpxQTfhWDI08E+wEIFPNX6OTgCuDKn9lAgBXABUAkqAzcVxERATGjBuDA9v0zOw6fux95WGIr/VqAJVqT8hV36wxKTU9PV0VHDpDM4dFrgoOmzpUuS0MgTblHMX3RgKAbLWD1OWLW+N7w5YxYCGbYcpoBlO21QhufqvbpkvdF/QP64yNi8WptFPAMKgajO2A3ft3Y2LcRJw4fkLcLiIiAh5eHijeUgyo55naAR5eHjrHNTaBLyIiAiNGjsDhrYd1ElJHjBphdKWxOfkm3txyFhXVCvi2l+MfM/theLivUfsCpgWG9vb2qtcqDnoXM3RyctI4RG5uruq5+haZegEAcoC8PM0lEGQyGWQOMggPC2IwJNtx/1PiRkREqIaxCzWagdZ21TB2a6ygr169qgrqZAD6QxXotQNwQfVYU4cqt9QQaEuOuDHlHOtbsvIL83XeG4Zasqhp2CVENqN+NIP9bnuNZm77PfaIjYvV/XAwclp3MbhZDuB/AM5ANTJlueph7buk9PR0nPr1lOo4RwEcA/CL6rlfT/yq0zVVXFQMOEJzinRHoLio+L66ps6dP6d36vXGJlRLT0/Hlp924LmvD2PJ92moqFZgWFcf7HhxuEnBCmDajMLiqB+JikB71M9PP/2k2SJTf44lAGTA1q1bNc5p/779ECYJGl2AQpyA/ft0p6I3xe7du1XD2CdD1UqWAlVrzySgpqpGpyvLGtjZ2TVkXyQDuFj3Xal6zMGhafeq5pxBGrCOJQJMOUexJUtimQ5bXHrDmjFgIZvy/t/eh12tnUbuiF2tHT54/wON7a5evar6sK6B5rTuNQAEzb7liIgIVcXoAFXXwzQAMXW/y6ATCP39739X/aBZv6qODeD9998XH/r+++9V5dDzgQah7vk6puTd7N69WzVsVc9xC/IK9Fai9ZVBnwcnYO6W69h9uQQQlHh+eAj++8ch8Hdz1tmnMaYEkaZOzV9YWKjZIlN/jhMBCEBRUZG4rTmXQBCXYpDIpdG7BpKFKZVK1XtagGawBwAyoLa2VnJfQ0y+aTCRNeTHmHKOrW3pDWvHgIVsSszEGNSgBngQQDSAB4Ea1GB8zHiN7W7fvq36wHaCKviYVvfdCYAMyMnJEbddvHixZtfDFojJoBCAl19+WePYhw4dUh1bT6sJZHXP1zl16pTqB4kPNPF5mJbc2ZSFBGf9bjaO3hUQ+PvP4OQbitrafNzd8hYOfvkq7O2a3nVibBBZPzU/tgM4AiAVqpYpian5nZ2dDZ6ji0vDnDDmvPMfMmRIQy6N+vVWAJDpBlrW4Pbt2wYDZfX3v6mMTTg3lTUtFGrsOZq7xYk0MYeFbIY4yiQQYhcMACAAyM9RjTKpr/QOHjyoufhbPVcAicCBAwfwzDPPAAC+/vprg8mg//rXv/DJJ5+Ih7h3715DZRAMIBeqtW4mqY5dUVEhbuvm5qb6QSKXRn0pdVOSOzt06GDwuJ06dYK6tHMX8Zt9H3iPG6M6B7tk5LX/FMrexdidmHZfyZJiEBkDVZ5EBVCTpAoi83I180x+/P5HjB0/FsK+hqRlmb0Mm3/crHPcqqoqg+dYWVmpuYMMqi6/O2q/J8Pgys7G5ErcvHlTs/IHNHJvbt26Jf0HLEQsk0Swl5mZ2eRjm2sGaWtaIsDYc4yIiMDYcWNxYMcBVSJ+ZwDXAdlOGcaMH8MclmbGFhYym/T0dOzcubPZ7ozEVoW7Wk/U1YnqrQoyWV0tJfHhp66srMxg10NZWZnG9uKxUwCshKqbYAVULQZaRo8ebTCXZsyYMeK29cmd+prxtZM7xSZ/ieOqN/mfv12CZ3+8iva9x0AQFCh0+Ba5Tm9DKSu+76ZrMYicDFUCcr+675P0D1We/vh0CA6CxvkJDgIemf6IzrELCwsNnqN6XoPYBVgLVU7RMajyi+pWdtY+P1NyJcRcGYn3UmJiIqyNqd1vTWHMEGhTWGNrhVHnKAOEWkGjNUaoNW4UIZmGAQs1O3MlznXo0MFgV4x6q4LG4m/qrqu+qQcKdnZ1/wYSFZL4fB1PT09VOe5oleOOqhzqo3mCg4MbKlL1XJq6ilRcLwdayZ1azfh6kzsF1d/TOG7941ANvV534gamffkLcu8BtaV5yLm5DCXFPwBXhGaZp8SUrimNvButlil9eTclJSUNXXXq5+ipOsfi4mJx265du6peC3toXhN7ADLd8zMlV6JLl7rhYhLvJfF5KxIbGwuZvUxvsCezl0mu32RJ5s6PMYf6ZG88DGABgCfrvk/BfSd7ky4GLNTszJU4d+fOHc1unvoKPQ6AoNk0f+bMGYN352lpaeK2vr51I2NuQO+kY35+fhrlcHZ2NlgOMfcCQHJysuqHqQB+B2A0gDlQfcBBsxymVP6jRo1qSKocBlU+z7C6J2XAwOjhWJCQgjcSz6K6VomxPfwRenE9qjae12wV2mbaMGhtGl1T6q6rvqkHkdu3b1f9INEy9dNPP2kcQlxvaBY0X7vZqofV58LJyMgwmLNx/fp1cVtTcyXi4uIMvpcmTZok9fJYzO7duyEoBL0BraAQJEc2NXerqKnMlR9jLhrdWD4Awuu+d1Y9zKTb5tXsOSydO3fGjRvan17A3LlzsWrVKp3HDx48qHG3W+/ChQvo0aNHcxePzMycE0vl5uaqfpCo0MXnAZw+fVpVgQVDc+KsMAAZdQFNHbGLZyv0LrKnTaz8JMqRkZEhPiQGISmqv6tRDmgGIRrN+HpyNnSa8etbbo5qltnJvyvmbsnE7dIaONjJ8OrE7vjT8C7weelX1X/8VGjMF6H+WpgqODi4oTIXoLEqMGSaLUjFxcWaLVP1ZajbtqSkROPYnp6equRQiUm5PD09xYeMCfbqWxVMzZXIzMxUnZs9NN9L7VTnrO/zztLE1+MFqILwLKgmLPQF8LnuJH3mXsDP2HlVzJUfYy5c6bplNXvAcvLkyYb5FgCcPXsWEyZMwOOPP25wv0uXLmkkIGrf1ZJtMGfiXGRkpOoHiQ+HqKgo8aGQkJC6BwH0hSpY6AJVm2IG0LFjR3Hbu3fvNgxr1qrMoax7Xs29e/cMlkM9GdTe3r5hW3U3tJ4HEBYW1pA4ql751yX/du7cWdxWnJZ+KlQV500AIYCbw0Pw8v4jbpfWoIOnC1bMjkL/Tl7YvXs3igqKdAJJCEBRYpFGwrIpunbtqtnlJZ646tjqH9hFRUW6idBqyavqw5QBVeWVk5MjmbOkXpGakoTc5EpmIlRJ2/WVfxk0z7mFGFP567wedaeMugY97aRssVVUbUbh+lbR+1npuqmBUHh4uFUHKvW40nXLavaARTvQ+OCDD9C1a9eGnAIJ/v7+GndMZJvMecch3s1LVOjqd/PDhw/Hd999pxqiXD/D7BmInaDDhw8XtxUDbIlRIOoBOFCX0yKr+7vq5dilKofYYoO6bov6vJvJ0AyGqjW7NcTE0SDobRXSG+zVtdzI5K7w8VwI1+4PAgAiXCvxw8IYeLRzBKDWHRMKVYVfCNVU/p1VD//00096A5bdu3fjxIkTiI6O1vt8REQEvHy8UFikm5/k5eOlUd7GEqG1lzsQk24doRlI7gCgVFWG9Uxp6TG1khG737ZDFWxFaR67sc+25mJK5W/K6yG2igZCY0ZhRUBDF1lTK15zBULWJGFdAmY9OQu7Exuuy/g46+3GsmVmHdZcXV2NtWvXYsmSJRof4vpERUWhsrISvXr1wptvvqm3m0hdVVVVw7BH6DYnk2U09Y6jsYoRULub94RmhV43Vbt6MNSpUyeDgUJoaEOtKZPJVJWlREWq/d5VKpUNs4iql0Oueky94hWnl5cYAq0+H4YY7EUBeAhAARrWB8qQOL/bgNPUCPh1eRUOToEQFDUoPLgGL/99nhisAGqJwxLdK9qJxVevXsWQ6CGqEUB1fPx8cPLESVVLUJ309HQUFhSqzl0rqCgsKNSo7Dw8PFQ7SQSz2jcsVVVVBltk1GfGFWd2rZ8oUHwCemd2NaWSiYiIgJd3XVCm1Yrk5e3VYnfRplT+prR8ia2iudBU17LV1FZRcwZC1sTWurFsmVkDli1btqCoqEic70KfoKAg/Otf/8KAAQNQVVWF//73vxg3bhwOHjyIkSNHSu4XHx+Pd9991wylpvtlSmVgbMUIqAVDh/ZBMUwhjpKxT9MNhr766iuDc2esXr1aDIzEAEOiItW+8xcD5Rqtk6kbSazeJSSOjEoBoD7VSJjW8/XU7+Q7Q+OuWN369esBAXB7cCq8wp+BzN4RNUXZyDv8IarPX8b69V6IiYkRtxcTiyW6V8Tn6wyJHoL8Es31UfK352PQkEEac6skJSUZDCqSkpLE6yK2Nkm0TGm/zjU1dS9wKFSJ0PULR3bWeh5qw7wdAYyCOB8MkgBU687sWl/J7NmzB8ePHzcYKKenp6Mwv1BV8aoHe75AYU5hi1S8Ta78p0IVIKsHv1rdWGKLoURw39Rp/MX1jIqhd36jlpxXpSXYSjeWLTNrwPL1118jLi5O1TwpoXv37ujevbv4e3R0NLKysvDJJ58YDFiWLVuGJUuWiL+XlJQ05C2QRZlyx2FsxVjvy5VfYvDQwcg/2hDgePp5YvWq1RrbiTkeEpXdwYMHNQ9soCKFZj3asL1EV4X69mVlZQYTTcvLy8VtxWn864fx1qtrQfr+++/xxhtvAACOJ5+G36Nvol34UABAufII8vOXQ8ioAGRqSZd1Ghv1oT6aQZxbRU++S35ivv58F4nWKXXe3t6q8/PQc3736p5XIwYZEhPpqQcsGjO71q9eHQJxokDtmV1N6V7RqHjVWjdwGC1W8Zpa+Wu8/9UD684Nz9dvf/LkSYPB/a+//tqk/Cax1UtiscumBkLWypILNrYVZnvH3LhxA/v27cPmzbozWDZm6NChWLt2rcFt5HI55HJ5U4tHLaCxO46mVIxz589FUUWRxod20e4ivDDvBY1mcTExVqKy05kl1UBFqpeBVgV14qy4k6DZJRSn2lYsJ9RGOc2CqrWm/q7YAcDnDc//dqMAteNeQTtnDwjKGhTI/w9l9juAPlCNckqETqV76dIlg0HWpUuXxG1NGXGjMd+NntYp9fwOX19fVRkK0bDKtQyqFbJluq08tbW1muvhqN/5yzRbTcQh7RItWdozu2oMva877r7d+rtXxIrXA7qrRt9rmYrX1MpfDNAkugDVAzhTRt+ZQhyWLnFcQ+sZ2VLlb+4RVtTAbPOwrFmzBv7+/pg8ebLJ+6akpCAoKMgMpaKW1NicDhoVo/r8J51VD2uvh2PK/BkuLi4NlZ36goYAINOcK6X+MRSqbTsBQBEMTutuTKuCKAWNzoor/q/cgOacDtdVD0+aPBlfJV3FjH8eh8LZAzUFt3FH8RLKHHY0lLOuDOqtlgDQvn17g3PHtGvXTtzWlFlSIyIi4O3rrXeOEm9fb43KJiAgoCHPpH6V66MQF6RUTwQF6pKd1e/868tcN7eKejK0uN7PHWhe77rJ/NTLbOo8LGJ3U33rxmJorBrd1IUETdHkyl+iC1CdxvtO3XXVt4ceesioMmprysy11rBas6msYcHGtsIstwZKpRJr1qzB008/rRP5L1u2DLdu3VKN4ADwj3/8A507d0bv3r3FJN1NmzZh06ZN5igatQBj7zjEilHiLlB73hFThkyLd6Re0L0rztEcTgygIUFRfdu6BEVJNwC4oKG7qUx3E/H9r710S6bW81Ab1qxnZIddO3f8O90RJ29eBAD4VdzAb9++DOGhe3pbNsQKrs7o0aPx888/S7526knu9YsU5m/P1ymH9iKF6enpqtlrA6HTOlWQU6CRWyHmSjhBFXSot/JUGWipMDYwFKBKyNZzvdWZOvTeGro2mjT6zsBQfXWxsbHw9vVGwfYCnevt7evd5Flxm5KAb0rLlzUw57xTpMss/2n79u1DZmYm/vCHP+g8d+fOHY3m2erqarz88su4desWXFxc0Lt3b2zfvt0qZ48k4xj7oRMbGwtHuSNqCmt0mvwd5Y46H5SmfGiLuSMSff7a6wMB0JnTpNF5NrZA88NfT3ulQqEwWHGo3xlL5bDI+/aG74hXcfJmBeQOdnjn4d44vn4vTtXcUx2nBEB7AOUADqnOTzsfRGyxlHjtxHk76pw8cRKDhgxCfqJuMrQ6sfKX6MZSr/wTEhIMdqWtW7dOf4K+RJnVrV692uD1XrVqlfh+EkdESRxXOwA5ebLunOtbAguhMSS8qTkepoiIiMCIUSNwePthnaBi5KiR+itFA3kp2k79esqo620qUxLwbbHyt6YFG9sCswQsMTExOhn/9b755huN31999VW8+uqr5igGWYApHzrp6emqtXP05LDUJNbofECZcscmjuSRuCvWyWEBJGejlaTdXaSn+6i2ttbgsGb1bo309HTVD7Ogasq/KYN7z8fh6fYkZDJ7tKstweZFk9Ej0B27VhU2tArtU/uDda1C2pOw3bp1y+C8HNo5HmFhYcjLzcPevXtx7NgxyVE0GkFkfWuTHcTWJvUg8ubNm6ofJD7cs7KyNB62s7ODUlBKltlO1hAhZmdnG2wFUc/ZELt4JJKstbtXDhw4oPpBoiXw4MGDYjJ0UxmTs3H27Fm9w5TPnNWdqTgvr67vR+K1zs/P13jYw8MDAwcO1GgVHThw4H3PjWVKAr4tVv6c6bZlta40bbI4Uz50mvIBZfIkTcZ2JxgYyWOwW6gRYlKtRDJoRUWF+JA4UicBsCvxhO9DS+Di3h8AUHbmZwSXpqBHoKpfPCsry2DLjXblX1hYaHAEktQ8RhMmTDDYehAREYHhI4fjyJYjOq1N2msUubi4qH6Q6EpTz6MB6oY51yfmqpe5fr4btQszdOhQVU6UxPVW714U5yiRSLLWrmQqKioacpz0JP/qba2DcUGIsd2nu3fvVg2tfhQ6w5QLEwt1EtTFgESiItUOWMw9wZsxQ35tsfLnTLctiwELNStTPnSa8gFl7PwZ4mRwEsfWmcjQwEgevYwc1lxVVaWZDFo/JLau60Z98sOCggJVQrDrA/B58mU4OHhDqaxEwb7VKE/9GQURDYm04kKQEi03t2/f1iiueMct0XWjPey3njET+p0/f17vHB7nzp3T2E5s1doCvV1p6iOmALV5WSTWw1FvxZ07dy6++OILyev9wgsviA9FRERgzLgxOJB0QPNE8oGx48fqVDIymcxg94p2PpQpo0aM7T7VSFD3gCoZGxA/wbXXBvLx8WloUWuky9BaJniz1cqfM922HAYsZJLG7hpN/tAx8KGqj7GVgZOTE6qqqySn8XdyctI9uEQriF4GcjH0buuJRpNBO4Z0QrbvAHg8+ARkMjtUy24gz+UD1HTOAlI0Z+cVp6WXKLP6tPWA1ppGD6ChwktTfdN+PYyd0G/37t2qpFs93XoFiQUad/7i9ZHoSpMcAlpfZq31cNRlZGQYXLbh+vXrOssEyBxkEB4WxEBBtkP/m07stjNyhI6xQYgp3aemLowptqjJoNllWNc6pd5l2NQJ3swx9NgWK3/OdNtyGLCQUUy5azT2Q0dcO6cGmh+qddOp6/ugNLYy0JiNVqvPH4JmywaApnUJmdLdJFEZ1B87t6QSmV2mwtNLdZBS+90odPwXBFmVeFz1bpvg4GDk3s2VLLN2Em1mZqbBHBbtFYcHDh6IovIinQn9BgwcgIL8hmDIlDlbxNdComVKe3kAcXuJMqtfl+3btxtch0l9raT09HTs37dfJ1AQBAH7E/frtCj07NkTv/76q2Sw0Lt3b/EhU4IQU7pETRm5Bah1Gcqg932n3mVo6igoc847YsuVP2e6NT8GLGQUU4YbSiVcazN1mKtGZaDWDaKIaYZRBKa0mNQzYvSKeGyJygAADqXfxeKNqaj26gxl9T0UFKxCudvBhtEodbmq4uRoUJs1VqLM2qOExEpJIh9EvYvM0MrO2vkSpqySnJ6ebrDM6pPXabx2EusD6ZwfoDvRX4XW8zA9d8rd3d1g60379u2bdGxTu0SNHbkF1K3bZOB9J67rBNPneGmJoces/EkfBizUKFOHGxr7gZaZmWmwAtO+6xcrA4lukPseRWBsiwnQUIGpd2XVTdWut0VG37FldvAc/iSeXvMrBAFQ5Gcie/PfUVt8SzVjbb263hz1HI+UlBSDZf7tt980Hu7QoUPDHbf6LLMpqu8dO3YUt123bl3DsfUM4127dq0YsIgjbiReC/XKTlysUKLM6osZiuoD2pFoWB/oEIAqaLzOGrPo6kmMVZ9F19RAobi42GDrjXrLlynHNrX7tH7k1po1a7B//36MGzdOcp028aZB4rVWH50m5jvdQMOyBmqBsnp+ky0OPabWgwELNcqUu0ZTPtDED0KJilE7EVSsDCQmYVOvDGQymWoUiQOAsWhIdk0CoARk+pJkJD6w9RKgutNX78pqB+nuI60KzP6mD3xnvQLnkD4QBODJIZ3wz+f/hNqCbDFAMaS4uFjvcesrRvF59e2FuvIdVXtCT06D2JIjMYxXPaE3JyfH4GuhM5zYQJnVK1GRdkALiOsDqcvLyzOYGCsmHcP0QEFsjYiC3lW03d3dm3xsU3I2tLti1q5diw3fb9DbFePm5qb6QeK1Vm9hEa/3VugNlNWHvNvi0GNqPRiwUKNMuWts0geaRMWoTUyslMiBUE+sFO8wvaA32VXQF1lIfGDrJVP9TaNyXrS6E5zvDoRv0GLYu3hAWVWBVc88iCmRwfjyD5UGhyqrV+iNtWxoz3QrrgcjscK0+noxYmuMRGuF+mKmeXl5Bl8L9UBB7AKUmldFXw4LYFTLV2PdGtqvhymBQkBAQMNrHQedLiHtZURMObYpORumdMX87ne/w9p1ayVf69/97nfituKyBhLvO50h4YBNDT2m1oMBCzXKlLtGkz/QDFSM2sTESokuJPXESvHYRdA7nFhvUCE1jbm+VhNTcl7quxO22sNz5FPwGDIdAFCVfQV5Wz/ElM9VLRZlZWUGWwlKS0t1j1sFzZYNiS6pnJwcg8GeektI9+7dDZajZ8+e4rb5+fkGXwv10Updu3ZFamqqZB6N5J25EblCkydPxooVKyS31V4Px5RAQWxFkkjgvnPnTpOPXa+xnA1Tu2LCwsIaJhbUU+bOnTtr/gED11udrQ49ptaBAQsZxdi7RpM/0Oo/KPXMJaLt/Pnzqh8k7qIvXLige2xPNDqc2NRyiEzIebG384Pv7Ffh3EFV2Zec34bCHf8BFA05HmK+h5HJjxr5HepdXtXQCVrEeVskAgv1SldMfjXidRZbRSS2VW81qaysbAioYtCQk5KkOhfteVjEc5RIdlU/R0PrMEGmp4KuY0xyp7+/v+oHP2i2BPoCyFF7vgnHNpapLZdJSUmqH6ZCZ6I5JKqer99++/btBo+tfSNgi0OPW4ItrTBtqxiwkFGMnbANMP4DTVydVyKJVnv1XrGvXeIuWnt2V2OGE2uQKIckI0cJuYQPhs+kxbB3doNSKEPenS9wb88xnUXoTD2uOHOtEQFZYwmv6sO8xe40I8rRWF6KelfM9evXde/kATEn5fp1PX+gPuhUDxylFjQ00KJwP7kVgwYNUv0gsfLx4MGDm3RcUzS5KyYUeieaU9fY2kraXXW2PPTYHMw5zJs0MWAho5jyT2nssOZRo0YZnAV21KhRGtsXFhYavIvWXj+nseHEGurLYew8LEbc+VfXKuE19k9wHzQNAFAlS0ee/EPUds2Rbr0xskVB3LYYmq+doZFKgFEz/9bnP9jtBJRq5bDbBSi18h/EGVUlyqw+vLqxPBO9SbeAZKCgTkwElmhRkJrJ1xhivpARC1iai6ktl+L/jsT1Vv/fEkdYSfxfqY+wUsehxyq2tsK0LWPAQkYx5Z/S2G0zMjIMdttoz04qLiQocRddU6OdUQrJEUg66rtLjJ2avz4vRf35umGuAJBVUIH565PFYKVEkYhC128BWV3lZqgcBo6rs60HdF87PT0rcrkcFfcqJCsluVyusb1MAOyqAaVaOezsAe1YVJxRVaLM6kGkGBQZETQ17ASjcovE1jeJFgXtxR3rGdOMf/v2bYM5HvcTDJnClK6YiIgIjB0/Fgd2HFDdQHQGcB2Q7ZRhzPgx+rtmvdBoSxZp4jDvlsWAhRpl6grMxm67bt26hsRYPS0b6vN9ALoTyWlzdHTUfdDIEUgATO8SigLwIFR38fWL+GUALhHRmLT8MEora6G4V4r87Z/jXuSvxnXzAJKTn+llROsDoJrA7eLFi6r8FvVKqa41Rn3a/7Vr10IA4OIElKqVpf539esidsNJDPnVCRQM3MnrZWQyqKlT15vSYqgRDKnrrPomFQw1N1O7Yn78/kedACcmLka6a1ZinSntrllqwGHeLYsBCzXKXCswX7lyxWAiqLh6cZ3S0lKDd9w6o2gMjUDS171i6tT82sOgnRzhNf4PcB8wBaWVtejfyRPblv4eirK7qgpcXyWtrxzGltkEZWVlDUm6A9Awd8opANWar119S0ep1uoF2r8Daom026G6jp2hcX7quTH29vYGW8gkA1KJ95I6jaRbPetSaSfdmtJiaGowZG7GdsUYG+DodB9prTOl3TVLDTjMu2UxYKFGafxT6plYrakrMFdU1DUdSFRI4vN1qqurDY7m0VkfyMi7c3FbU6bmrw+c6ialc6gNgq/fa5D7q87vuVFd8HJMdzjNq2sCkaik9ZbD2DIbGKasfeyCgoKGZn/1iePqmv3Vhx9379694dhaKzCjWnNYc3l5ucEgpKysTHzIxcVFdU0l8kxcXFz0nCSMSv5NSkpqmL1Xz2J/6qNimtSMb2rLkBVpLMAxufuIRBzm3bIYsFCjIiIiMGLkCBzeelhnYrURo0Zo/FNGRERg7Li6D78SQbzTlR3W/fDr3Lkz0tLSJCsk7btiMblRoutGb/KjEXfnTdq2vvLfC7TrORI+sfNhJ28HRUUx8rZ/hmUfnNLcfipUw3jVu4+kgiFjy2FCkCXmsEiMmlJfrfnXX381GDiJCx4C6NKlC06fPi055LdLly7iQxqrHuvJM9GbdGsoUNDXOiXTf37qTG3GX7t2rcEcD+2uS2tjTJ6Osd1HpIvDvFsOAxYyyrnz5/R2xZw7d05n25raGgjVgsadrmAn6CTFDho0CFu3bZUcYSI2xasztevG2CHCpm4rA2RlTvB6/lm4ecQBACpvnUXe1o+hKM3X3T4FmomzhvJjTCmHkcGNmLAsMWpKPVgQZ72VOHZ2dkNkMmnSJGzZukUyEJo0aZK4rTi0WuL89K4lZKD1Rp0pKw6b2owvJgNL5HhYK1PydDhUuen42rUcibmwiRrs3r0bBXkFDXfcHnXfJwEFeQXYu7dhmEp6ejoOJx3WbSqXAYeTDuPy5cviQwqFQnOEyed134MACAYqsPpWhfpyxMHw0OM0qCrUNOi94xa33a61rYEmfwevDgj806dw84iDACWKHDYgp/x1/cEKoKocDf3exHLoHOe6/s3E7jKJIKSyslJ8SCNnQ8+xhw4dKj7UqVOnhkBBvZtuInSSee3t7VXnsROa57cLgKzueTXi/B9TASwA8GTd94e1nodpibH1zfj2u+01ymG/xx6xcbE6lc2TTz7Z8Hr4AAiv+173eqgP87YmGnk6iwE8Cuw7pMrTkRIeHo64uDhWuE3A18782MJCjRK7ACQqg2PHjolN4klJSQZzK9RzCcQKSmKEiXo3hQZTukwkplM3als7/du69hoN79h5sHNygQKFyHP6FJX2qdLlMJAPonN8A10Peo9r5JwtTk5OqgBQolXB2dlZfGju3Ln4YvkXkl0xc+fOFbcV51YxopvOw8NDldzroef87mkuyAeotWxIdCGpD4PWCLL05FlpJ8aa0owfGxsLT29PFG0v0nk9PL09rbI7iMNtqTViwEKNMmWUhLjuikRuhfqcFZcuXWq4456Ihoqg7o5bZ6r9eqZ0mRirfgTNSDRMGX8IqrV66ir/e9UK/GXrWfhOeRkAUFmRhjzvT6CQFRouhymJtICq6+EuGvJdfKG/60GAUbPAAkDfvn1x7PgxySCkd+/e4rYREREYGj0Ux48f1wnghkYP1V07ykA3nXr3So8ePXDz1k1VMFE/2Z3aSB71ZF5ANWFZTk6O5PX28/MTH4qNjYWXjxcKtxbq5Fl5+XjpBBWmNuMnn0rGoCGDkJ/Y0ILm4+eDkydOSu5jSRxuS60RAxZqVGxsLLx9vVGwvUCnsvP29daoDMQ5GyQ+KNXndBCHNUvccat3H4lMaFUQR/KMg+a6NfoWNNQOsgBxyngASM8pxbx1ybicWwZBqUDx0QQUJ38PTFQ2Xg7AtIReY+eOkUFzpttyAEf0lyE8PBzHjh2TbL2JiIjQ2H7HTztULRDq+Q+xsfoTCY1M/hVHFNUlK2uXQX1EEaDqetq6batkkKXeNQUAffv0xaHjh3TyrPr26atb5jrGDhEOCwtDXm4e9u7di2PHjhlcmsIacLgttUYMWMgovXv3xuHDh3XuuNXvzIG6nAZA8oNSPachOzu7Yd6RYWgYlvqb6ruY/KnO1G4eiXVr9JIIKlz7jsfDK4+gskYJPzc5zvxzCaqyzqj+rjHlAIxvFap/PYyZh6U+2DNipltxuQSJxFHt5RSMbYEw5U5eTNaVKIP2qscDBw7E1q1bJZNuBw4cKD6Unp6OQ0mHdLpAIACHEg81WxfIhAkTrDpQqcfhttQaMemWGiUm0k4DMAfA6LrvU3UTaU+ePGkwcfTXX38Vty0tLW0IQI4COFb3vQaAABQXF+svkJ/W7/qXOlExpWVDK8lUdsMZPpOXwHfSIlTWKDEi3Bc7XxyhClZMKYcpibTqQZZacrN2sNKjR4+G4GYCVNdmAlSzBuvpXtGYFl9P4qjeafHReCKhxsJ56uqOqz46JzAw0GAZgoKCNA4xaNCghlayKAA96r47qM5RfdFBYwInfdLT07Fz5079rXk2LmFdAsaPHK+R0D5+JIfbku1iCws1SqMy8ABQ19qMunhC/S46NzfX4FBU9VaTe/fuNeSOTIJm/kNV3fP6GDkdPQDTWjbUuh4cb3eGn89rcPQOgaBU4NW4XnhhVFfY2alV7MYOcxWgyqtQfz0cIN0aY0SQFRsb2zDVvnoLS11LTGxsrMb2Hh4eDflC6t0rdflC2gmvxsrMzDTYTXfjRkMkM2nSJIN5NOpDoMVj1we0KWpP1CVDqx/b1C6QtrDCLofbUmvDgIUaZUplEBkZqfphKvTOZhoVFSVuK85cK5H/oHdYc/2Im7oZZsXkWH15KVpBiMFJx9SCrPaRsfAe/xxkDk6oLc1D3raPMe+js7plqX89tKYy1+thqIKWawC6QFXpanVNubi4qII0iddZfSZYqRV0pZ6fPHkyVqxYIZkv9NBDDxk8nkECjFqwccaMGXjrrbck1zOaMWOG/uOHah1L+3eY3gXSllbY5arK1FowYKFGmVIZBAcHq36QGIqqnnTr4OCgmkxOokVB79oy9SNj9CRt6t1WBs3KsW6qdn1kDi7wmTQfrr1GAQAqrp5E/vbPobxXomdjmJb8W7/WznhIBk7R0dHYf2C/ZJD14IMPNpxy/etoB81RMXW/ay9YJyZOFxbojNDRTpw2hZizJDE0XT1nKSIiAiNGjVDlQqm/RjJgxMgROpWquIaNxLG117gxdqgyh/wS2SYGLGQUYysDU1pjQkNDVd0aEttqT80PoGFkjL7p1/UFCgL0JvRqb+sY0AV+U5fC0SsYglCLotvfoeR/iUC1RHRjavKvEXO8jBkzBvv375dsgRg9erT4kFhZS0yJr2/BulO/nlINzd3bfENzlUqlwaHp2sslbE3cavToI401buKERte4MUeiMBFZDwYsZBST+sMNtT6okcvlBrfVO3GcAMnp1/VuK4PmYn9aLSyCIKB91GR4j/0TZA6OqJXl4q7TR6judlFcVFGSspHfodbN4w/NwMIPQA7Qrl078aFBgwYBANa+AGTlA3vOADF9gY7ewJzVmkmmYmV+5ACECYLYYqJvzaZ65hia27VrV4ND07VzR0zNq2jKGjeNdYFwyC+RbWLAQiZprDIQV82VyGlQn+lWEASDk59pj1xxdXVVzeUhcWfcvn173QK9AFVSbhZ0JmErvleDpZtOwyfmBQBAhfI48tv9A0pZmcZxtTk5OaG6ploV/HSAamSOJ4BbAKoAJ8eGQCsoKAjXMq5JTpamPjKmftbYkT2Ae9VAZCegWyDg7Kh6Xru1QqzMdxpfmQPNOzRX7C48tA+KCQrx/OyPGh4+a2xehTkSRznkl8g2MWAh85DIO1A3ZswYnD5zWlXhq1fmhwHINLtAAFXlVV5eLnln7OnpqVuO+m3rRzbVJcY6BYbjoRWHkVVwD4KiBoUH1qA0dJve46qvWQMAs2bNwrfffqsKUup6F5APMdBSX1umT58+uHbtmiqhVz3vpq77qG/fhknN6u/8J38CnGlY+gZ969JE7re1wlzE7sKdhrsL70dzJ45yhV0i29Ps87C88847kMlkGl/i/AsSkpKSMGDAADg7O6NLly746quvmrtY1EJGjRrV0M1zE6qukJsQu3nUcyvmzp3bkN+xF8CWuu9187Cor1kDAN27dze4eF737t3FbaOjoyXnP3Eb+DCC5nyCrIJ7CPF2gfORL1GavE1yrpQePXpolMPd3d3gHCjqLT3iOegblQTNc4yIiICvnw/O5EBjwbozOYCvn4/B1gpLLrpWHzilp6djx44dSE9Px64du6x6eLAtlpmorTNLC0vv3r2xb98+8XftVVjVZWRkYNKkSXj22Wexdu1a/PLLL5g7dy78/Pwwffp0cxSPzCgiIgJjx43F/oP7deYdGTturEalGhERgehh0Th24pjOcaKHRetUwK+88gp+/vlnyXyJ1157TXzo6NGjqi4ltWRXO+f28Jm8CO3CVVO6x/UJxAfTH8D8M2uQfhxGzagKAP7+/ganmPf39xcfio2NhbunO0pKdEcauXu6a3TNpKenI+9uvt7ZWvMS861+9IotDp+1xTITtVVmmenWwcEBgYGB4pf6ImXavvrqK3Tq1An/+Mc/0LNnT/zpT3/CH/7wB3zyySfmKBq1gB+//xGxEzQnLoudEIsfv/9RZ9u1/10LH28fjcd8vH2wbu06nW3rK399LRvalT8AxMfHiy0ZTsE9EPTMcrQLHwo7KPHXqb3x5ZP94eHiqOp6qp/fRX1GVUcAMlXXlboZM2YYbGHRnk8kNTkVPj5a5+jjg9TkVI3HmjpbKxFRW2CWgOXy5csIDg5GWFgYnnjiCVUfvoRjx44hJiZG47HY2FicOnVKNUeHhKqqKpSUlGh8kXUwpbl97vy5KKoo0ugCKaoowgvzXtB77NTkVPi4+2h0Ifm461b+ALB06VIoapV4YMYSBM7+AA4e/ujs0w7bFozEU9GdxaTe4ODghkThFAAX674HARB05zSJiIjA6JEj9HZljdYzn0j96Jw9e/bg3XffxZ49e5CXm4ewsDCN7TRGr6i7rvrG0StE1JY1e5fQkCFD8N133yEiIgI5OTn429/+hmHDhuHcuXM6d5mAakE07QohICAAtbW1yMvL01lfpF58fDzefffd5i4+NaPGmtubMoGXKUNzC8qr8dL3qSgOGwsZgCmRwXj/kT5wqx92U0cMFCQShfUFCpsTt+J3T87CDrVE00mxsVhrIGmzsdE5HL1CRCSt2QOWuLg48ee+ffsiOjoaXbt2xbfffoslS5bo3Ud7+Gr9yrFSC7IBwLJlyzSOV1JSgpCQkPspOrWw+5nAq7HK/9eMAixMSEF2SSXkDnZ4e0pvzBocovc9pREoxBgXKHh5eWG7GUbocPQKEZF+Zh/W7Orqir59+0quhhoYGNiw7Hyd3NxcODg46G2RqSeXy1UTj5HNMscEXkqlgNVJV/HZ3nQolAK6+Lli1ez+6BnkbnC/pgYKzZ20aS1DlYmIrI3ZA5aqqipcuHABI0aM0Pt8dHQ0/ve//2k8tmfPHgwcOBCOjo5696HWobm7QPLKqrB4YyoOX1Yt3/xoVAe8N60PXOWNv82tLVDg6BUiIk0yob7/pZm8/PLLmDJlCjp16oTc3Fz87W9/Q1JSEs6cOYPQ0FAsW7YMt27dwnfffQdANay5T58+eO655/Dss8/i2LFjeP7555GQkGDSsOaSkhJ4eHiguLhYNU8G2YTCwkLdtWXiVGvLmDInxtGreXhxQyrullbB2dEOf53aB48P6GiwW5GIiCzP2Pq72VtYbt68iVmzZiEvLw9+fn4YOnQojh8/Lq7aeufOHWRmNkzjGRYWhh07dmDx4sVYtWoVgoODsXz5cs7B0kbcb8uGQilgxf7LWP7zZSgFINy/Pb58sj/CA9zMWGoiImppzd7CYilsYWl7cksqsWhjKo5eVa0+PGNgR7z7cB+4OElPVEhERNbFYi0sRC3h8OW7WLwxFXll1WjnZI+/P9IHj0R1tHSxiIjITBiwkE2pVSjxj32XsergFQgC0CPQDStn90c3fz0rNRMRUavBgIVsxp3ie3gxIRW/Xi8AAMwe0gl/eagXnB3ZBURE1NoxYCGbcOBSLpZsTEVhRQ3ayx3w/qN98XBksKWLRURELYQBC1m1GoUSn+y5hH8mqdaj6tPBHStn9UdnX1cLl4yIiFoSAxayWreK7mHB+mQkZxYBAJ6ODsXrk3tC7sAuICKitoYBC1mlvedz8PIPaSi+VwM3Zwd8NP0BxPXVvxAmERG1fgxYyKpU1yrx4a6L+PpIBgAgsqMHVs7ujxDvdhYuGRERWRIDFrIaWQUVmJ+QgrSsIgDAH4eH4bWJPeDkYGfZghERkcUxYCGrsOvsHbzy42mUVtbCw8URnzweiQm9AixdLCIishIMWMiiqmoVeH/7BXx77AYAoH8nTyyfFYWOXuwCIiKiBgxYyGKu55VjfkIyzt4qAQA8N6oLXo7pDkd7dgEREZEmBixkET+dvo2lm86grKoWXu0c8dmMfhjTw9/SxSIiIivFgIVaVGWNAn/96TzWn8gEAAzq7IXls6IQ5OFi4ZIREZE1Y8BCLebq3TLMW5eMi9mlkMmAeaO7YdH4cDiwC4iIiBrBgIVaRGLKTbyReBYV1Qr4tnfC5zP7YUS4n6WLRURENoIBC5nVvWoF3t52Ft+fugkAiO7igy+e6Ad/d2cLl4yIiGwJAxYym8s5pZi3PhnpOWWQyYAXx4Vjwdhw2NvJLF00IiKyMQxYyCx+OJWFt7aeRWWNEn5ucnzxRD8M6+pr6WIREZGNYsBCzaq8qhZvbT2Lzcm3AAAjwn3x2Yx+8HOTW7hkRERkyxiwULO5mF2CeeuScfVuOexkwEsx3fHCqK6wYxcQERHdJwYsdN8EQcCGk1l4Z9s5VNUqEejujOWzojA4zNvSRSMiolaCAQvdl9LKGryeeBb/S7sNABjd3Q+fzegHb1cnC5eMiIhaEwYs1GRnbxVj/vpkXM+vgL2dDK/GdsezI7qwC4iIiJodAxYymSAIWHv8Bt776QKqFUp08HTB8llRGBDqZemiERFRK8WAhUxSUlmDpZtOY8eZbADA+J4B+OTxB+DZjl1ARERkPgxYyGhpWUWYn5CMrIJ7cLSXYWlcT/zhwc6QydgFRERE5sWAhRolCALW/HId8TsvoEYhoKOXC1bN7o/IEE9LF42IiNoIBixkUFFFNV758TT2ns8BAEzsHYgPH3sAHi6OFi4ZERG1JQxYSFJyZiEWrE/BraJ7cLK3w5sP9cScoaHsAiIiohbHgIV0KJUC/n3kGj7adQm1SgGhPu2wanZ/9OngYemiERFRG2XX3AeMj4/HoEGD4ObmBn9/f0ybNg2XLl0yuM/Bgwchk8l0vi5evNjcxaNGFJRX40/fncL7Oy6iVingoQeC8NOC4QxWiIjIopq9hSUpKQnz5s3DoEGDUFtbizfeeAMxMTE4f/48XF1dDe576dIluLu7i7/7+fk1d/HIgJPXC7AwIQV3iivh5GCHd6b0xqzBIewCIiIii2v2gGXXrl0av69Zswb+/v747bffMHLkSIP7+vv7w9PTs7mLRI1QKgWsTrqKz/amQ6EU0MXPFatm90fPIPfGdyYiImoBZs9hKS4uBgB4eze+EF5UVBQqKyvRq1cvvPnmmxgzZozktlVVVaiqqhJ/Lykpuf/CtkF5ZVVYvDEVhy/nAQAeieqAv03rA1c505uIiMh6NHsOizpBELBkyRIMHz4cffr0kdwuKCgI//rXv7Bp0yZs3rwZ3bt3x7hx43Do0CHJfeLj4+Hh4SF+hYSEmOMUWrVjV/Mx6YvDOHw5D86OdvjosQfw2YxIBitERGR1ZIIgCOY6+Lx587B9+3YcOXIEHTt2NGnfKVOmQCaTYdu2bXqf19fCEhISguLiYo08GNKlUApYuf8Kvvg5HUoBCPdvj1VP9kdEgJuli0ZERG1MSUkJPDw8Gq2/zXYrvWDBAmzbtg2HDh0yOVgBgKFDh2Lt2rWSz8vlcsjl8vspYpuUW1qJRRtScfRqPgDg8QEd8e7U3mjnxFYVIiKyXs1eSwmCgAULFiAxMREHDx5EWFhYk46TkpKCoKCgZi5d23bkch4WbUxBXlk12jnZ42/T+uDR/qYHk0RERC2t2QOWefPmYf369di6dSvc3NyQna1a1dfDwwMuLi4AgGXLluHWrVv47rvvAAD/+Mc/0LlzZ/Tu3RvV1dVYu3YtNm3ahE2bNjV38dqkWoUSX/x8GSsPXIEgAD0C3bBydn90829v6aIREREZpdkDltWrVwMARo8erfH4mjVr8MwzzwAA7ty5g8zMTPG56upqvPzyy7h16xZcXFzQu3dvbN++HZMmTWru4rU52cWVWLghBb9mFAAAZg3uhLen9IKzo72FS0ZERGQ8sybdtiRjk3bakoOXcrHk+zQUlFfD1cke8dMfwMORwZYuFhERkcjiSbdkOTUKJT7dk46vkq4CAHoHu2Pl7P4I8zU80zAREZG1YsDSytwquoeFCSn47UYhAOCp6FC8Pqknu4CIiMimMWBpRfadz8HLP6ahqKIGbs4O+Gj6A4jry5FWRERk+xiwtALVtUp8tOsi/n0kAwAQ2dEDK2b1RyefdhYuGRERUfNgwGLjsgoqMD8hBWlZRQCAPzwYhqVxPeDkYNZVF4iIiFoUAxYbtutsNl75MQ2llbVwd3bAJ49HIqZ3oKWLRURE1OwYsNigqloF4ndcxDdHrwMAojp5YsWsKHT0YhcQERG1TgxYbMyN/HLMX5+CM7eKAQDPjeyCl2O7w9GeXUBERNR6MWCxIT+dvo2lm86grKoWXu0c8emMSIztEWDpYhEREZkdAxYbUFmjwHs/nce6E6rlDAZ19sLyWVEI8nCxcMmIiIhaBgMWK3ftbhnmrU/BhTslkMmAuaO7YvH4CDiwC4iIiNoQBixWbEvKLbyeeAYV1Qr4uDrh85n9MDLCz9LFIiIianEMWKzQvWoF3tl2DhtPZQEAhnbxxvInouDv7mzhkhEREVkGAxYrczmnFPPWJyM9pwwyGbBwbDgWjguHvZ3M0kUjIiKyGAYsVuSHU1n4y9ZzuFejgJ+bHF/M7Idh3XwtXSwiIiKLY8BiBcqravHW1rPYnHwLADC8my8+n9kPfm5yC5eMiIjIOjBgsbCL2SWYty4ZV++Ww04GLJkQgbmju8GOXUBEREQiBiwWIggCNp7MwtvbzqGqVokAdzmWPxGFIV18LF00IiIiq8OAxQLKqmrx+uYz2JZ2GwAwKsIPn82IhE97dgERERHpw4ClhZ27XYz561OQkVcOezsZXontjj+P6MIuICIiIgMYsLQQQRCw9vgNvLf9AqprlQj2cMaK2VEYEOpt6aIRERFZPQYsLaCksgZLN53GjjPZAIDxPf3x8WOR8HJ1snDJiIiIbAMDFjM7fbMI89enILOgAo72Mrw2sQf+ODwMMhm7gIiIiIzFgMVMBEHAml+uI37nBdQoBHT0csHK2f3RL8TT0kUjIiKyOQxYzKC4ogav/JiGPedzAAATewfiw8cegIeLo4VLRkREZJsYsDSzlMxCzF+fgltF9+Bkb4c3JvfEU9Gh7AIiIiK6DwxYmolSKeDrIxn4cNdF1CoFhPq0w8pZ/dG3o4eli0ZERGTzGLA0g8Lyarz0Qxr2X8wFAEx+IAgfPNoXbs7sAiIiImoODFju06nrBViQkII7xZVwcrDD21N6YfbgTuwCIiIiakYMWJpIqRTw1aGr+HRPOhRKAV18XbFydn/0Cna3dNGIiIhaHQYsTZBXVoUl36fhUPpdAMC0fsH42yN90V7Ol5OIiMgc7Mx14C+//BJhYWFwdnbGgAEDcPjwYYPbJyUlYcCAAXB2dkaXLl3w1Vdfmato9+X4tXxM+uIwDqXfhbOjHT6a/gA+n9mPwQoREZEZmSVg2bhxIxYtWoQ33ngDKSkpGDFiBOLi4pCZmal3+4yMDEyaNAkjRoxASkoKXn/9dSxcuBCbNm0yR/GaRKEU8MW+y5j9f8eRW1qFbv7tsW3+cMwYFMJ8FSIiIjOTCYIgNPdBhwwZgv79+2P16tXiYz179sS0adMQHx+vs/1rr72Gbdu24cKFC+Jjzz//PNLS0nDs2DGj/mZJSQk8PDxQXFwMd/fmzSPJLa3E4o2p+OVKPgDg8QEd8e7U3mjnxFYVIiKi+2Fs/d3sLSzV1dX47bffEBMTo/F4TEwMjh49qnefY8eO6WwfGxuLU6dOoaamRu8+VVVVKCkp0fgyh1+u5GHSF0fwy5V8uDja47MZkfj48UgGK0RERC2o2QOWvLw8KBQKBAQEaDweEBCA7OxsvftkZ2fr3b62thZ5eXl694mPj4eHh4f4FRIS0jwnoOZetQIvbkhFXlkVegS64X8LhuPR/h2b/e8QERGRYWZLutXO6xAEwWCuh77t9T1eb9myZSguLha/srKy7rPEulyc7PHpjEjMGtwJW+Y9iG7+7Zv9bxAREVHjmr1fw9fXF/b29jqtKbm5uTqtKPUCAwP1bu/g4AAfHx+9+8jlcsjl8uYptAGjIvwwKsLP7H+HiIiIpDV7C4uTkxMGDBiAvXv3ajy+d+9eDBs2TO8+0dHROtvv2bMHAwcOhKMjp7cnIiJq68zSJbRkyRL8+9//xn/+8x9cuHABixcvRmZmJp5//nkAqu6cp556Stz++eefx40bN7BkyRJcuHAB//nPf/D111/j5ZdfNkfxiIiIyMaYZajLzJkzkZ+fj7/+9a+4c+cO+vTpgx07diA0NBQAcOfOHY05WcLCwrBjxw4sXrwYq1atQnBwMJYvX47p06ebo3hERERkY8wyD4slmHMeFiIiIjIPi83DQkRERNTcGLAQERGR1WPAQkRERFaPAQsRERFZPQYsREREZPUYsBAREZHVY8BCREREVo8BCxEREVk9BixERERk9cwyNb8l1E/YW1JSYuGSEBERkbHq6+3GJt5vNQFLaWkpACAkJMTCJSEiIiJTlZaWwsPDQ/L5VrOWkFKpxO3bt+Hm5gaZTNZsxy0pKUFISAiysrJa7RpFrf0ceX62r7WfI8/P9rX2czTn+QmCgNLSUgQHB8POTjpTpdW0sNjZ2aFjx45mO767u3urfBOqa+3nyPOzfa39HHl+tq+1n6O5zs9Qy0o9Jt0SERGR1WPAQkRERFaPAUsj5HI53n77bcjlcksXxWxa+zny/Gxfaz9Hnp/ta+3naA3n12qSbomIiKj1YgsLERERWT0GLERERGT1GLAQERGR1WPAQkRERFaPAQuAL7/8EmFhYXB2dsaAAQNw+PBhg9snJSVhwIABcHZ2RpcuXfDVV1+1UElNFx8fj0GDBsHNzQ3+/v6YNm0aLl26ZHCfgwcPQiaT6XxdvHixhUptvHfeeUennIGBgQb3saXr17lzZ73XYt68eXq3t4Vrd+jQIUyZMgXBwcGQyWTYsmWLxvOCIOCdd95BcHAwXFxcMHr0aJw7d67R427atAm9evWCXC5Hr169kJiYaKYzMMzQ+dXU1OC1115D37594erqiuDgYDz11FO4ffu2wWN+8803eq9rZWWlmc9Gv8au4TPPPKNT1qFDhzZ6XFu4hgD0XguZTIaPP/5Y8pjWdA2NqRes8f+wzQcsGzduxKJFi/DGG28gJSUFI0aMQFxcHDIzM/Vun5GRgUmTJmHEiBFISUnB66+/joULF2LTpk0tXHLjJCUlYd68eTh+/Dj27t2L2tpaxMTEoLy8vNF9L126hDt37ohf4eHhLVBi0/Xu3VujnGfOnJHc1tau38mTJzXObe/evQCAxx9/3OB+1nztysvLERkZiZUrV+p9/qOPPsJnn32GlStX4uTJkwgMDMSECRPE9cL0OXbsGGbOnIk5c+YgLS0Nc+bMwYwZM3DixAlznYYkQ+dXUVGB5ORkvPXWW0hOTsbmzZuRnp6Ohx9+uNHjuru7a1zTO3fuwNnZ2Ryn0KjGriEATJw4UaOsO3bsMHhMW7mGAHSuw3/+8x/IZDJMnz7d4HGt5RoaUy9Y5f+h0MYNHjxYeP755zUe69Gjh7B06VK927/66qtCjx49NB577rnnhKFDh5qtjM0pNzdXACAkJSVJbnPgwAEBgFBYWNhyBWuit99+W4iMjDR6e1u/fi+++KLQtWtXQalU6n3elq6dIAgCACExMVH8XalUCoGBgcIHH3wgPlZZWSl4eHgIX331leRxZsyYIUycOFHjsdjYWOGJJ55o9jKbQvv89Pn1118FAMKNGzckt1mzZo3g4eHRvIVrJvrO8emnnxamTp1q0nFs+RpOnTpVGDt2rMFtrPkaatcL1vp/2KZbWKqrq/Hbb78hJiZG4/GYmBgcPXpU7z7Hjh3T2T42NhanTp1CTU2N2craXIqLiwEA3t7ejW4bFRWFoKAgjBs3DgcOHDB30Zrs8uXLCA4ORlhYGJ544glcu3ZNcltbvn7V1dVYu3Yt/vCHPzS6wKetXDttGRkZyM7O1rhGcrkco0aNkvyfBKSvq6F9rEVxcTFkMhk8PT0NbldWVobQ0FB07NgRDz30EFJSUlqmgE108OBB+Pv7IyIiAs8++yxyc3MNbm+r1zAnJwfbt2/HH//4x0a3tdZrqF0vWOv/YZsOWPLy8qBQKBAQEKDxeEBAALKzs/Xuk52drXf72tpa5OXlma2szUEQBCxZsgTDhw9Hnz59JLcLCgrCv/71L2zatAmbN29G9+7dMW7cOBw6dKgFS2ucIUOG4LvvvsPu3bvxf//3f8jOzsawYcOQn5+vd3tbvn5btmxBUVERnnnmGcltbOna6VP/f2fK/2T9fqbuYw0qKyuxdOlSzJ492+CCcj169MA333yDbdu2ISEhAc7OznjwwQdx+fLlFiyt8eLi4rBu3Trs378fn376KU6ePImxY8eiqqpKch9bvYbffvst3Nzc8Oijjxrczlqvob56wVr/D1vNas33Q/tuVRAEg3ew+rbX97i1mT9/Pk6fPo0jR44Y3K579+7o3r27+Ht0dDSysrLwySefYOTIkeYupkni4uLEn/v27Yvo6Gh07doV3377LZYsWaJ3H1u9fl9//TXi4uIQHBwsuY0tXTtDTP2fbOo+llRTU4MnnngCSqUSX375pcFthw4dqpG0+uCDD6J///5YsWIFli9fbu6immzmzJniz3369MHAgQMRGhqK7du3G6zYbe0aAsB//vMfPPnkk43moljrNTRUL1jb/2GbbmHx9fWFvb29TvSXm5urEyXWCwwM1Lu9g4MDfHx8zFbW+7VgwQJs27YNBw4cQMeOHU3ef+jQoRa/EzCGq6sr+vbtK1lWW71+N27cwL59+/CnP/3J5H1t5doBEEd4mfI/Wb+fqftYUk1NDWbMmIGMjAzs3bvXYOuKPnZ2dhg0aJDNXNegoCCEhoYaLK+tXUMAOHz4MC5dutSk/0truIZS9YK1/h+26YDFyckJAwYMEEde1Nu7dy+GDRumd5/o6Gid7ffs2YOBAwfC0dHRbGVtKkEQMH/+fGzevBn79+9HWFhYk46TkpKCoKCgZi5d86uqqsKFCxcky2pr16/emjVr4O/vj8mTJ5u8r61cOwAICwtDYGCgxjWqrq5GUlKS5P8kIH1dDe1jKfXByuXLl7Fv374mBcqCICA1NdVmrmt+fj6ysrIMlteWrmG9r7/+GgMGDEBkZKTJ+1ryGjZWL1jt/2GzpO7asA0bNgiOjo7C119/LZw/f15YtGiR4OrqKly/fl0QBEFYunSpMGfOHHH7a9euCe3atRMWL14snD9/Xvj6668FR0dH4ccff7TUKRj0wgsvCB4eHsLBgweFO3fuiF8VFRXiNtrn+PnnnwuJiYlCenq6cPbsWWHp0qUCAGHTpk2WOAWDXnrpJeHgwYPCtWvXhOPHjwsPPfSQ4Obm1mqunyAIgkKhEDp16iS89tprOs/Z4rUrLS0VUlJShJSUFAGA8NlnnwkpKSniKJkPPvhA8PDwEDZv3iycOXNGmDVrlhAUFCSUlJSIx5gzZ47GSL5ffvlFsLe3Fz744APhwoULwgcffCA4ODgIx48ft6rzq6mpER5++GGhY8eOQmpqqsb/ZFVVleT5vfPOO8KuXbuEq1evCikpKcLvf/97wcHBQThx4kSLn58gGD7H0tJS4aWXXhKOHj0qZGRkCAcOHBCio6OFDh06tIprWK+4uFho166dsHr1ar3HsOZraEy9YI3/h20+YBEEQVi1apUQGhoqODk5Cf3799cY8vv0008Lo0aN0tj+4MGDQlRUlODk5CR07txZ8g1rDQDo/VqzZo24jfY5fvjhh0LXrl0FZ2dnwcvLSxg+fLiwffv2li+8EWbOnCkEBQUJjo6OQnBwsPDoo48K586dE5+39esnCIKwe/duAYBw6dIlneds8drVD73W/nr66acFQVANqXz77beFwMBAQS6XCyNHjhTOnDmjcYxRo0aJ29f74YcfhO7duwuOjo5Cjx49LBakGTq/jIwMyf/JAwcOiMfQPr9FixYJnTp1EpycnAQ/Pz8hJiZGOHr0aMufXB1D51hRUSHExMQIfn5+gqOjo9CpUyfh6aefFjIzMzWOYavXsN4///lPwcXFRSgqKtJ7DGu+hsbUC9b4fyirKzwRERGR1WrTOSxERERkGxiwEBERkdVjwEJERERWjwELERERWT0GLERERGT1GLAQERGR1WPAQkRERFaPAQsRERFZPQYsREREZPUYsBAREZHVY8BCREREVo8BCxEREVm9/wchpQFwWmjEJwAAAABJRU5ErkJggg==\n", 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[==============================] - 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", 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\n", 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" ] @@ -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", 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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", + " 44.0\n", + " 360.0\n", + " 8.0\n", + " 8.0\n", " 0.0\n", " 0.0\n", " ...\n", + " 48.0\n", " 34.0\n", - " 27.0\n", - " 7.0\n", + " 9.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 172.0\n", - " 42.0\n", - " 44.0\n", - " 48.8\n", + " 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", + " 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", - " 25.0\n", - " 3.0\n", + " 42.0\n", + " 41.0\n", + " 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", - 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" 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", - " 38.0\n", - " 35.0\n", - " 9.0\n", + " 51.0\n", + " 48.0\n", + " 10.0\n", " 1.0\n", " 0.0\n", " 0.0\n", - " 140.0\n", + " 181.0\n", + " 38.0\n", " 26.0\n", - " 22.0\n", - " 54.2\n", + " 59.4\n", " \n", " \n", " 10\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", - " 34.0\n", - " 33.0\n", + " 47.0\n", + " 46.0\n", " 4.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 149.0\n", - " 26.0\n", - " 39.0\n", - " 40.0\n", + " 188.0\n", + " 30.0\n", + " 51.0\n", + " 37.0\n", " \n", " \n", " 11\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", + " 19.0\n", + " 43.5\n", + " 4.0\n", " 44.0\n", - " 45.0\n", + " 360.0\n", + " 7.0\n", + " 5.0\n", + " 2.0\n", + " 2.0\n", + " ...\n", + " 55.0\n", + " 62.0\n", " 3.0\n", + " 1.0\n", " 0.0\n", " 0.0\n", - " 0.0\n", - " 148.0\n", - " 46.0\n", - " 33.0\n", - " 58.2\n", + " 191.0\n", + " 54.0\n", + " 43.0\n", + " 55.7\n", " \n", " \n", " 12\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", - " 32.0\n", - " 39.0\n", - " 4.0\n", + " 45.0\n", + " 53.0\n", + " 6.0\n", " 2.0\n", + " 1.0\n", " 0.0\n", - " 0.0\n", - " 134.0\n", - " 27.0\n", - " 34.0\n", - " 44.3\n", + " 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", - " 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 @@ " 0.0\n", " 4.0\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", + " 3.2\n", + " 0.32\n", + " -0.8\n", + " 17.0\n", " 45.0\n", + " 106.0\n", + " 17.0\n", + " 22.0\n", + " 57.0\n", " 2.0\n", " \n", " \n", @@ -4004,16 +4023,16 @@ " 0.0\n", " 6.5\n", " ...\n", + " 4.1\n", + " 0.33\n", + " 0.1\n", + " 24.0\n", + " 54.0\n", + " 76.0\n", + " 18.0\n", + " 40.0\n", + " 62.0\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", " 44\n", @@ -4052,335 +4071,47 @@ " 0.0\n", " 5.0\n", " ...\n", - " 0.3\n", - " 0.13\n", - " -0.7\n", - " 3.0\n", - " 5.0\n", - " 47.0\n", - " 3.0\n", - " 4.0\n", - " 11.0\n", - " 0.0\n", - " \n", - " \n", - " 69\n", - " 1\n", - " Turati\n", - " Frosinone\n", - " Napoli\n", - " 1\n", - " 5.5\n", - " -3\n", - 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" ...\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", - "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. 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"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", - 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"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 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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", + "Berardi 0.22485207100591717\n", + "Immobile 0.3771712158808933\n", + "Vlahovic 0.4330484330484331\n", + "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", 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EHqdMX4VZKw5h7aEsAMDobtGYe18XNPFlt9VY8ZUnIiKPcvpqKaZ+nYKTOaXw1mrwyj0d8XDfOGg0zFdpzBiwEBGRx9jwRzae+/4gSvVVCA/UYeGkRCTFhbi7WeQBGLAQEZHbVRmMeG9TBhbtPA0A6BUfgvkTuiM80M/NLSNPwYCFiIjcKq9Uj+nL0rDndB4A4K/94/F8cgf4eGnd3DLyJAxYiIjIbdIvFOKJJSnIKipHE18vvHP/bRjVNdrdzSIPxICFiIhuOkEQsOz3C3htzRFUGIxoExaARZOTkBAR6O6mkYdiwEJERDdVeaUBr6z6A9+nXAQAjOgUgfce7IpAPx83t4w8GQMWIiK6aS7kX8PUJSk4crkYWg3wjxEdMHVQGy5ZphoxYCEioptix4kczPg2HUXXKxES4It547vj9lvC3N0sqicYsBARkUsZjQLmbz+F/27JgCAAXVsFY8GkJLRs5u/uplE9woCFiIhcpuh6JWYuT8fW4zkAgAm9Y/HqqI7QeXu5uWVU3zBgISIilziWVYypS1JwPu8afL21eHNMZ4ztEePuZlE9xYCFiIjq3Mq0i5j942GUVxrRqrk/Fk1KQueWwe5uFtVjDFiIiKjOVFQZ8ebao/hq73kAwMCEFvhwXDc0D/B1c8uovmPAQkREdSK7qBzTlqYgNbMQAPD0Hbdgxp0J8NJyyTLdOAYsRER0w347k4envklFbmkFAv288cG4bhh6a4S7m0UNCAMWIiKqNUEQ8Pnus5i7/jgMRgEdIgOxaFISWocFuLtp1MAwYCEiolop1Vfh+R8OYe3hLADAvd1bYs69XeDvyyXLVPcYsBARkdNO5ZRi6pIUnMophbdWg3+O6ojJfeJYYp9cRuvsDXbt2oVRo0YhOjoaGo0Gq1atUlz/6KOPQqPRKL769OlT43lXrFiBjh07QqfToWPHjli5cqWzTSMioptgwx9ZGPPxrziVU4qIIB2WT+mDh/u2ZrBCLuV0wFJWVoauXbti/vz5qseMHDkSWVlZ0te6devsnnPv3r0YN24cJk+ejIMHD2Ly5MkYO3Ys9u3b52zziIjIRaoMRsxdfwxTl6SiVF+FXvEh+Gl6fyTFhbi7adQIaARBEGp9Y40GK1euxJgxY6TLHn30URQWFlqNvNgzbtw4FBcXY/369dJlI0eORPPmzbFs2TKHzlFcXIzg4GAUFRUhKCjI4fsmIqKa5Zbq8fSyNOw5nQcA+Gv/eDyf3AE+Xk5/7iVScLT/dsk7bceOHQgPD0dCQgL+9re/IScnx+7xe/fuxfDhwxWXjRgxAnv27FG9jV6vR3FxseKLiIjqXlpmAUbN2409p/PQxNcL8yd0x8v3dGSwQjdVnb/bkpOTsXTpUmzbtg3vv/8+9u/fjzvuuAN6vV71NtnZ2YiIUK7Xj4iIQHZ2tupt5s6di+DgYOkrJob7UxAR1SVBELDkt/MY98lvyCoqR5sWAVj95O2457ZodzeNGqE6XyU0btw46efOnTujR48eiIuLw9q1a3Hfffep3s4yWUsQBLsJXLNnz8bMmTOl34uLixm0EBHVkfJKA15a+QdWpF4EAIzsFIl/P3gbAv183Nwyaqxcvqw5KioKcXFxOHnypOoxkZGRVqMpOTk5VqMucjqdDjqdrs7aSUREogv51zDl6xQczSqGVgPMGtkBUwa24SogciuXT0Dm5eXhwoULiIqKUj2mb9++2Lx5s+KyTZs2oV+/fq5uHhERyWw/kYN75u3G0axihAT4YsljvTF1UFsGK+R2To+wlJaW4tSpU9LvZ8+eRXp6OkJCQhASEoLXXnsN999/P6KionDu3Dm8+OKLCAsLw7333ivd5uGHH0bLli0xd+5cAMCMGTMwcOBAvPPOOxg9ejRWr16NLVu2YPfu3XXwEImIqCZGo4B5207hg60ZEASga0wzLJyYiOhm/u5uGhGAWgQsBw4cwJAhQ6TfzXkkjzzyCBYuXIjDhw/jq6++QmFhIaKiojBkyBAsX74cgYGB0m0yMzOh1VYP7vTr1w/ffvstXn75Zbzyyito27Ytli9fjt69e9/IYyMiIgcUXavEs9+lY9txcUXnxN6x+OeojtB5s8Q+eY4bqsPiSViHhYjIeUcuF+GJJanIzL8GnbcWb47pjAd7cAED3TyO9t/cS4iIqJH6MfUiZv94GPoqI1o198eiSUno3DLY3c0isokBCxFRI1NRZcQbPx/F17+dBwAMSmiBDx/qhmZNfN3cMiJ1DFiIiBqR7KJyPLE0BWmZhQCAGUPb4emh7eCl5Sog8mwMWIiIGom9p/MwfVkqcksrEOTnjQ8e6oY7OqjXuyLyJAxYiIgaOEEQ8NkvZ/DOhhMwGAXcGhWERZMSERca4O6mETmMAQsRUQNWqq/CrB8OYt1hsZr4fd1b4q17u8Dfl0uWqX5hwEJE1ECdyinFlK8P4PTVMvh4afDPezpiUp84Vq2leokBCxFRA7T+cBae+/4gyioMiAjSYcHEJCTFNXd3s4hqjQELEVEDUmUw4t8bT+CTXWcAAL3jQzB/QiJaBHKzWKrfGLAQETUQuaV6TP8mDXvP5AEAHh/YBrNGtIe3l8v3uSVyOQYsREQNQGpmAaYtSUV2cTkCfL3w7we74q4uUe5uFlGdYcBCRFSPCYKAJfsy8a+fjqDSIKBNiwB8OjkJt4QH1nxjonqEAQsRUT1VXmnASyv/wIrUiwCA5M6RePeB2xDo5+PmlhHVPQYsRET1UGbeNUxdkoKjWcXQaoDnR3bA4wPbcMkyNVgMWIiI6pntx3PwzPJ0FF2vRGiAL+ZN6I5+bcPc3Swil2LAQkRUTxiNAj7cehIfbTsJQQC6xTTDwkmJiAr2d3fTiFyOAQsRUT1QeK0Czy5Px/YTVwEAk/rE4pV7OkLnzRL71DgwYCEi8nBHLhdh6pIUXMi/Dp23Fm/d2wUPJLVyd7OIbioGLEREHmxFykW8uPIw9FVGxIT4Y9GkJHSKDnZ3s4huOgYsREQeSF9lwBs/H8WS3zIBAEPat8AH47ojuAmXLFPjxICFiMjDZBVdxxNLUpF+oRAaDTBjaDs8fUc7aLVcskyNFwMWIiIPsud0LqZ/k4a8sgoE+Xnjw4e6Y0iHcHc3i8jtGLAQEXkAQRDw6a4zeGfDcRgF4NaoIHwyKQmxoU3c3TQij8CAhYjIzUr1VfjH9wex/o9sAMB9iS3x1pgu8PflkmUiMwYsRERudCqnBFO+TsHpq2Xw8dLgn6M6YVLvWJbYJ7LAgIWIyE3WHsrCrB8OoqzCgMggPyyYlIjE2ObubhaRR2LAQkR0k1UZjHh34wl8uusMAKBPmxDMn5CIsKY6N7eMyHMxYCEiuomulugxfVkqfjuTDwCYMrAN/jGiPby9tG5uGZFnY8BCRHSTpGYWYNqSVGQXlyPA1wv/frAr7uoS5e5mEdULDFiIiFxMEAQs+e08/vXzUVQaBLRtEYBPJifhlvBAdzeNqN5gwEJE5ELXKwx4adVh/Jh6CQBwV5dIvPtAVzTV8d8vkTOcnjTdtWsXRo0ahejoaGg0GqxatUq6rrKyEs8//zy6dOmCgIAAREdH4+GHH8bly5ftnnPx4sXQaDRWX+Xl5U4/ICIiT3E+rwz3LdyDH1MvQasBXryrAz6ekMhghagWnA5YysrK0LVrV8yfP9/qumvXriE1NRWvvPIKUlNT8eOPPyIjIwN/+tOfajxvUFAQsrKyFF9+fn7ONo+IyCNsO34Fo+btxrGsYoQG+GLJX3vj8YFtWV+FqJacDvOTk5ORnJxs87rg4GBs3rxZcdm8efPQq1cvZGZmIjY2VvW8Go0GkZGRzjaHiMijGI0CPtx6Eh9uPQkA6B7bDAsmJiIq2N/NLSOq31w+LllUVASNRoNmzZrZPa60tBRxcXEwGAzo1q0b3njjDXTv3l31eL1eD71eL/1eXFxcV00mIqqVwmsVeGZ5OnacuAoAmNwnDi/fcyt03iyxT3SjXLrwv7y8HC+88AImTJiAoKAg1eM6dOiAxYsXY82aNVi2bBn8/Pxw++234+TJk6q3mTt3LoKDg6WvmJgYVzwEIiKH/HGpCKPm78aOE1eh89bi/Qe74o0xnRmsENURjSAIQq1vrNFg5cqVGDNmjNV1lZWVePDBB5GZmYkdO3bYDVgsGY1GJCYmYuDAgfjoo49sHmNrhCUmJgZFRUVO3RcR0Y36IeUiXlp5GPoqI2JDmmDhpER0ig52d7OI6oXi4mIEBwfX2H+7ZEqosrISY8eOxdmzZ7Ft2zanAwitVouePXvaHWHR6XTQ6VjGmojcR19lwL9+Ooql+zIBAEPat8AH47ojuImPm1tG1PDUecBiDlZOnjyJ7du3IzQ01OlzCIKA9PR0dOnSpa6bR0RUJ7KKruOJJalIv1AIjQaYMbQdnr6jHbRargIicgWnA5bS0lKcOnVK+v3s2bNIT09HSEgIoqOj8cADDyA1NRU///wzDAYDsrOzAQAhISHw9fUFADz88MNo2bIl5s6dCwB4/fXX0adPH7Rr1w7FxcX46KOPkJ6ejo8//rguHiMRUZ3acyoX05elIa+sAsH+PvjgoW4Y0j7c3c0iatCcDlgOHDiAIUOGSL/PnDkTAPDII4/gtddew5o1awAA3bp1U9xu+/btGDx4MAAgMzMTWm11vm9hYSEef/xxZGdnIzg4GN27d8euXbvQq1cvZ5tHROQygiDgk11n8O6G4zAKQMeoICyalITY0CbubhpRg3dDSbeexNGkHSKi2igpr8Q/vj+EDUfEUeP7E1vhrXs7w8+Hq4CIboRbk26JiBqSk1dKMGVJCs5cLYOPlwavjuqEib1jWbWW6CZiwEJEZMfaQ1n4xw8Hca3CgMggPyyclIjusc3d3SyiRocBCxGRDVUGI97ZcByf/XIWANC3TSjmTeiOsKYsp0DkDgxYiIgsXC3R46lvUrHvbD4AYMqgNvjH8Pbw9nJpcXAisoMBCxGRTMr5AkxbmoIrxXoE+HrhvQe7IrlLlLubRdToMWAhIoK4ZPnr387jjZ+PotIg4Jbwplg0KQm3hDd1d9OICAxYiIhwvcKAF1cexsq0SwCAu7tE4Z0HbkNTHf9FEnkK/jUSUaN2Pq8MU75OwfHsEnhpNXhhZAf8dUA8lywTeRgGLETUaG09dgXPLE9HSXkVwpr6Yt74RPRt6/z+Z0TkegxYiKjRMRgFfLj1JD7aKu4InxjbDAsmJiEy2M/NLSMiNQxYiKhRKbxWgRnfpmNnxlUAwMN94/Dy3R3h680ly0SejAELETUaf1wqwtQlKbhYcB1+PlrMubcL7kts5e5mEZEDGLAQUaPw/YELeHnVH9BXGREb0gSLJiWhYzQ3SiWqLxiwEFGDpq8y4PWfjuKbfZkAgDs6hOO/Y7shuImPm1tGRM5gwEJEDdblwut4YmkqDl4ohEYDPHtnAp4acgu0Wi5ZJqpvGLAQUYP066lcTF+WhvyyCgT7++DDh7phcPtwdzeLiGqJAQsRNSiCIGDRzjP498bjMApAp+ggLJqUhJiQJu5uGhHdAAYsRNRglJRX4rnvD2LjkSsAgAeSWuHNMZ3h5+Pl5pYR0Y1iwEJEDcLJKyWY8nUKzuSWwddLi1f/1BETesWyxD5RA8GAhYjqvZ8PXcasHw7hWoUBUcF+WDgpCd1imrm7WURUhxiwEFG9VWkw4p31x/G/3WcBAP3ahmLe+O4Ibapzc8uIqK4xYCGieimnpBxPfZOG38/mAwCmDmqL54YnwNuLJfaJGiIGLERU76Scz8e0pam4UqxHU5033nvwNozsHOXuZhGRCzFgIaJ6QxAEfLX3PN74+SiqjAJuCW+KRZOScEt4U3c3jYhcjAELEdUL1ysMeHHlYaxMuwQAuPu2KLx7/20I0PHfGFFjwL90IvJ453LLMHVJCo5nl8BLq8Hs5A54rH88lywTNSIMWIjIo205egXPfpeOkvIqhDX1xfwJiejTJtTdzSKim4wBCxF5JINRwAdbMjBv2ykAQGJsMyyYmITIYD83t4yI3IEBCxF5nIKyCsxYno5dGVcBAI/0jcNLd3eErzeXLBM1VgxYiMij/HGpCFOXpOBiwXX4+Wgx974uuLd7K3c3i4jcjAELEXmM7w5cwMur/kBFlRFxoU2waFISbo0KcneziMgDOD2+umvXLowaNQrR0dHQaDRYtWqV4npBEPDaa68hOjoa/v7+GDx4MI4cOVLjeVesWIGOHTtCp9OhY8eOWLlypbNNI6J6Sl9lwOwfD2PWD4dQUWXE0A7hWPNUfwYrRCRxOmApKytD165dMX/+fJvXv/vuu/jPf/6D+fPnY//+/YiMjMSwYcNQUlKies69e/di3LhxmDx5Mg4ePIjJkydj7Nix2Ldvn7PNI6J65lLhdYxdtBfLfs+ERgP8fVgCPnu4B4L9fdzdNCLyIBpBEIRa31ijwcqVKzFmzBgA4uhKdHQ0nnnmGTz//PMAAL1ej4iICLzzzjuYMmWKzfOMGzcOxcXFWL9+vXTZyJEj0bx5cyxbtsyhthQXFyM4OBhFRUUICuKnMqL64NdTuZi+LA35ZRUI9vfBhw91w+D24e5uFhHdRI7233Wacn/27FlkZ2dj+PDh0mU6nQ6DBg3Cnj17VG+3d+9exW0AYMSIEXZvo9frUVxcrPgiovpBEAQs2HEKkz/fh/yyCnRuGYSfp/dnsEJEquo0YMnOzgYAREREKC6PiIiQrlO7nbO3mTt3LoKDg6WvmJiYG2g5Ed0sxeWVmLokBe9uOAGjADyY1Ao/TO2HmJAm7m4aEXkwlxQ1sCyXLQhCjSW0nb3N7NmzUVRUJH1duHCh9g0mopsi40oJxsz/FRuPXIGvl7hk+d0HboOfj5e7m0ZEHq5OlzVHRkYCEEdMoqKqt3rPycmxGkGxvJ3laEpNt9HpdNDpdDfYYiK6WX46eBmzfjiE65UGRAf7YcGkJHSLaebuZhFRPVGnIyzx8fGIjIzE5s2bpcsqKiqwc+dO9OvXT/V2ffv2VdwGADZt2mT3NkRUP1QajHjj56OYviwN1ysNuP2WUPw0vT+DFSJyitMjLKWlpTh16pT0+9mzZ5Geno6QkBDExsbimWeewZw5c9CuXTu0a9cOc+bMQZMmTTBhwgTpNg8//DBatmyJuXPnAgBmzJiBgQMH4p133sHo0aOxevVqbNmyBbt3766Dh0hE7pJTUo6nlqbh93P5AIAnBrfF34clwNuLJfaJyDlOBywHDhzAkCFDpN9nzpwJAHjkkUewePFizJo1C9evX8e0adNQUFCA3r17Y9OmTQgMDJRuk5mZCa22+h9Wv3798O233+Lll1/GK6+8grZt22L58uXo3bv3jTw2InKjA+fyMW1pKnJK9Giq88Z7D3bFyM6RtTpXRkYGTp8+jVtuuQXt2rWr45YSUX1wQ3VYPAnrsBB5BkEQ8OWec3hz7TFUGQW0C2+KTyYnoU2Lpk6fKz8/HxMmTcDG9Ruly0Ykj8CypcvQvHnzumw2EbmJo/039xIiojpzraIKs388jNXplwEA99wWhXfuvw0Butr9q5kwaQK27NoC3AcgDsB5YMvGLRg/cTw2rNtQdw0nIo/HgIUapc8//xw7duzA0KFD8eijj7q7OQ3CudwyTF2SguPZJfDSavDiXbfiL7e3Vi1PUNM0T0ZGhjiych+A20wX3gYYBAM2rtyIkydPcnqIqBFh5hs1KikpKfD188Vf//pXLFmyBH/+85/h6+eL9PR0dzetXtty9ApGzd+N49klCGuqwzd/7Y3H+sfbDFby8/Mx8q6RaN++Pe666y4kJCRg5F0jUVBQoDju9OnT4g9xFidoLX6TJ/8TUcPHERZqVPre3heVqFRMMVSurUSvPr1QUV7h7ubVOwajgA+2ZGDeNjF4SIprjgUTExER5Kd6mwfHPojtv25XvAab1m3CA2MfwNbNW6Xj2rZtK/5wHtUjLABwTvx2yy231OVDuemYSEzkHI6wUKPx+eefo1JfCdwNsQMMNn2/C6jUV2Lx4sVubV99U1BWgUe/+F0KVh7t1xrL/tbHbrCSkZGBbVu3QbhLULwGQrKAbVu24eTJk9KxCQkJGJE8Al4bvYCDAIoAHAS8NnlhRPKIetvJOzrCRERKDFio0dixY4f4g8oUw9atW0GOOXyxCPfM241fTubCz0eLD8Z1w2t/6gRfb/v/Unbu3Cn+oPIaSNebLFu6DHcOvBNYCeC/AFYCdw68E8uWOraLuydSJBI/C+A+YMsuMZGYiNQxYKFGY/DgweIP5y2uOCd+Gzp06E1sTf21fH8m7l+0B5cKryMutAlWTrsdY7q3dO4kKq+BJVdWXdi4cSP+9a9/WVXZdiVzIrFhhEExwmQYbsDG9RsVI0xEpMQcFmo0HnvsMTzx5BOoXFsJFANoCqAMwC7AR+fjsauFPCXXobzSgNd/OoJlv4sbjd55azjeH9sNwf4+Dp9j0KBBgAbAWgACxJGVcwDWAdCYrpeRRiOGAQgAcK16NKK2y5pPnz6N3n17I+9qnnRZaItQ7N+3H/Hx8bU6pzP3DcBuInF9neoicjUGLNSg1NS5b964GUOGDoGwpfqTu8ZLgy3bttT6nLU9tiaeVDRtd+oRvLT+HM6XABoN8PdhCZg2+BZotfZ3YbdJAFAFcZrHzMt0uYy0rDkSgGwQxBBRPRpRm+e4d9/eyCvOUyT95q3NQ8/ePZGbk+v0+ZxR20RiTwlaidyJU0LUIDiayDj3nbnQ+mkV+QNaPy3mvD2n1ud09lhHeUKuQ35+PgaM/RvGLz6I8yWA4XoxWp1ehYndw2oVrHz33XfiD6MBTAIwGMBkAH+yuB6m0QgNxGRb2XOAYgCa2i1r3rhxoziyYiPxOu9qnsunh5xNJK7N+yojIwPr16/n9BI1OAxYqEFwpHN3Nn/AmYDhgbEPYOPmjYrLNm7eiAfGPlCrx+MJuQ5Go4ChT7+LzNaj4NUkGPqsk8ha/Ax2r/zfDT0uAEAagCUAdgD4GkC6xfWAuN+YACAZyuBiJAAB8PZ2foB437594g8qUzJ79+51+pzOciaR+MGxD2LT9k2K9+Cm7ZtsPv9cfUQNHQMWqvcc7dydKUSmOGclgC0ADLYDhoyMDGzfut1qSgMCrJbqOsrdRdOKyysxcdFOFLQaAI3WC6VFm5AdOguGO3MAb2DbVtuPq6ZP91IhuUyLKzItrgdgNBrFH1Seg6qqKuceFICWLU3JwSpJv7GxsTZv58yoRU3HNm/eHBvWbUBGRgbWrVuHjIwMbFi3wWqaz5kl4EDdB81EnoYBC3m8mjoAReeeC+AkgDxYde6K/AG5c+I3ef6AdM41AH4CcBjAatPPUAYMO3fuFKcufKCcuvABoLFequsIaTdzlbbWZnTBUSeySzB6/q/Ym1kGoaoSeVfmIS/yIyC4Uuw4kwEIysfl6Kf7oqIiu89VUVGRdKwzr5dZTe+V6Ojo6qRf2ZSMOek3IiJCcbwrpwXbtWuH5ORk1ZwUZ5aAZ2RkYPu27WJWovx5tRNcOqM+TTPVp7aScxiwkMdytAOQOrZlAOYDWApgHoBvxIvNHVtCQgJ69Ophs7Pq1buXouNo27at2LF5QdkBeAHQKDvLK1euiKMrd0E5dWHq2K9cueL0Y8/MzBTvf51FW9eL93/+vGUvXjfWHLyMMR//irO5ZQjyrkL20lkoba781G7uMOUc/XSfk5NT/Vz5Q5waCoDN5yohIQF3DL0DmnUaYDfEaaNfAc16De648w7F6+Xoe0WaZmoOxZQMmsHmNJMz04IuyzlyYAn4zp077b4HaxM0A/Vrmqk+tZVqh6uEyGM5ulNvQkICvHXeqCqoUhyLtYC3zlvRsR04cEAMBCxWqPy+/3fFff/yyy9iB2BOzoTpuyDe9tdff5XOK30qV/kkbPmp3WECgCiLtsYDOFu709lTaTBi7rrj+L9fxZP3vyUMM3oFoddbJ8XnMhpAAYAQABfF25iXIEuf7n0hJs/Knn/zp3vzcyXVVdkA4JqsAU1U2lVVCaFCEKfkTAStgMrKSsVxjr5XMjNNc0/jIa5Uyjc9Jm8A/1UGgs5svlibjRprWvnj7BJwANWjjObXqrX1Ic6oT7tl16e2Uu1whIU8kjNJpxs3bkSVvsrmyo8qfZW08uOtt94CjLC9QsUIvP3229I5V69eLf6gEoSsXFkdRUh5DyqfhOPiLE9S/RjVhq6lzqg7gOkAJpq+d7O4vg7kFJdjwme/ScHKtMFt8eVfeiHYz0s8YDWUI1drlLeXPt3beP4tP90nJCSInbABypErAwCN6XqTjIwM/LLrFzEQkh/rC/yy6xfpeatVgvJ5AKEA2pm+n7M+xNGpRqtj5Wwc6+hIQEJCApqHNK9eAm4eDaoCmoc0VwQ50vtBZZSxNu8XxfMaDSAHQEvPLHJX2yR1Th/VLwxYyCM50wGsXbvW7rE///wzAGDNGlNPq7JCZdWqVdJN27RpI/6gEoRI18OUHGonL8IyOdSRDishIQF33GmaDrkIIBzARdvTITdi/7l83D1vN/afK0CgzhufTE7CrJEd4KXVVC8rVsk3Mb8G0jSOSsduNSVmJ7iRc3Saw5nAQhq1UJlqk3fsjk41Ko51IN/G0amjjIwMFOQViAG2PGj9E1CQV2C171JIWIg4siJ/rQqBkLCQWr1fpOc1zeLxp4sXqyV+uyMIcDZJndNH9ROnhMgjKToAfwCXAMQAKBUvlncA4eHh1cfaKMZlvr5Dhw7i1E8WFJVTsQuARrzebNq0afjwow/Fjk1eFfcX8dhp06ZJx1rlRZhFALhSQ16EnaHrzz75DL369ELeyuqKrCEtQvC/T/+n/sQ5SBAELN5zDm+tPYYqo4CEiKZYNCkJbVo0tX5c5oABUEyLWSX+LgOQLfvdxkzYpk2bxB9Upi42btxofSOVTshMEVjYuH+r5FwB4sovi2lBy4ApISEBoS1CkVeQZzXVGNoiVBEEmOurbNm4BQbBIE3feG3ywp3Jd9qeOrIctbCYOlJ0wvIZMNPjl1fFzcjIQH5uvtV5cReQvzK/VkX2pDyuLCgfvykQt3xe3Vno0NmCfJw+qp8YsJBHSkhIQP+B/bF71W5xGsdMCwwYNEDxz7dnz5525/p79eoFAAgJCRGvbwZF5VRzYBEWFiZdJOWwVECRPwGteB/yHBZFXsRViCMiMQDCcEN5EX99/K9iZymTV5CHvz7+V2zdXPuNGq9VVGH2j4exOv0yAOCe26Lwzv23IUCn/HcgPS6VgMH8uCIiIsTn3/zpXtaxW668KS4uFn9QCS5KSkqki6TRDpVOyHy9IrCQB6I7rQMLKQiIhTIXyPS7ZRCQdzXP6rWCAOStzLMKApYtXYbxE8dj48rqDvvOZGV9FcWoxY+y+48Xv8nv//Lly3afK/nIlTPndYqdgNWSO4MARwNGoHb5RuQZOCVEHuvo0aM2pyOOHDmiOM5oNCrLvcvm+iFUT8msX79e7FgLLc5ZBEAjm1oCsHTpUvFYX4id4BgAw02/a4AlS5ZYN3gZlFNN31gf4ujQtauWqZ7NLcO9H+/B6vTL8NZq8M97OmLe+O5WwYpCDatUpJU/d0O58sc0zZObW13uPiQkRBncyKYuoDFdb6KYFpNN31hOi0mBRXOIgegqAJsANBOr18qfK2m5eJbFYzLFBvJRI2enGcz1VTZu3IjXX38dmzZtsqqvYjVqYX78WbAatTh48KD4w1WL+zc9nWlpabU6r6NqXbfITYUOHS3I5+4aR1R7HGEhj7Rx40a7Q9ybN2/GsGHDAACpqanijUZDHDo/B6ANxHB8pfiPPzk5WSxKZucTo7xoWUFBgd3RmLy86pEPrVZrd4RB3gkq6qvYGDUwH2uVv2HR1p07d9r8FLhx40bs27cPffv2lZ4fs01HsvH37w6iRF+FFoE6fDwhEb3iQ6zOYabI95CPXFnke2zdahrtUVn5s2XLFrzwwgsAgOvXr9tdfXXtmvwEwA/f/WA1ajE8ebj1qIUG1SX8zc+/qZ3y0QUp30iAzddKnm/k7DSDw1MiDo5aSO8VFVbXOzEaYmZvpZLi8dtYJWazbpGdIMDVoxbmgPHkyZM4deqU6uqr2u7nRO7HgIU8klRCXWWIe+/evVKHfPz4cfFCeYd5GFKHaR6R8fPzEy9Q+acqXW/+2U4nKD/24MGDdjvhtLQ0aSdoqb7KeihzY3bDdn2VGvI3zOztQBwb1xr/2XwCH28XO5Uecc2xYGIiwoP8bJ/MJCEhAf0H9Mfu3buVnZ4WGDCwelquvLxcufLHIgiQByHSlI/K4yotLVVcLC2DtsOqhD+gmmuTmppq97UyB7fmx+/oNAPg2JSI0x27Oel5NJQ5JEblzR0pMmdZt6am4CohIQEDBg7AL6t/EV9bMy/raVlPCgLatWtnNzhSvK7FBulv0GuP7deVPAenhMgtalpJ0Lt3b7tD3H379pWODQsLq+4w5dM3pqWy5hyK69evizdQmeKQd6zSaEwylCM8pn1s5J9upeqsKqtUpLwNM8H0tQXi9MVmiB2QrG9W5G/YaKvlMtVefXpV70Bseq7yivPQc8BgPPrF71Kw8mi/1lj2eJ8agxWzqqoq8bmV0wBVldUjEVajJhYrf8rLy6VjDQaD3cdluaLKkRU1zpTwV+wlZOO1stxLyNFpBkenRJxZTZSXl1c9aiJ/D5pWSeXn50vHStOkKue1nEZ1dKXSkaNHbE5LWp7P2U0d3W3B/AVo1qSZ4m+wWZNmWPjxQvc2zIN5whJwjrDQTeXUSgIHh7gPHz5cvUrHxvSNORegrKysOjlXPrphWiUkD1jOnjVlZKqM8Jw5c0a6SOowVZIjpeshmz5SmZIwjwacPXvW7nTMuXPnpE5AMX0me658fW+BX7MX8cvJXPj7eOHt+7tgdLeWcFRGRgZ+2/ubmLcj/4S/VuzYzcmJV6+akixUAgZ5DovBYLD7uKSABo4nRzrz6V5ajq7yWsmXqwOOTzM4NXJi5/HLtW/fXvxB5T0or1kjTXWttzjvBvG88vego8+r2vsKgvW0LOBY0rGn+Nvjf0N+Sb7ibzB/Xf4NJ7Q3RO5c/WWJIyx0Uzn6yc6ZXXWvXr2qnL4xfxIsBqCB1KFmZ2dXL2mVj25UAhBM11ueU2WER+qkYepY7CSSyjuWHTt2VI9GWOTmQAC2b98OwJQAbCeR2FxbRjrW4rlqWjUMkbHvwjs4HAHGMqx8sp9TwQoAfPfdd3bb+t133wGQjaCofLqXRrbMBEj5RdLjMq2+knMqOdIcBMg+3dsKAqZNm2b3tZIvV5erad8fR0dOTp8+raxgbH78UQAE5WOSVr+pvAfNq98AwMvLSzxvsMV5g8Tz+vj4SMc6+rw6u7O1o5s6upuzm0o2di7bcqIWGLDQTePMSoLevXuLP6h0APIpoYCAAGUOg3lKwjR907SpWFtEmt6wUTkVGijKvRsMBrtFy+QjAevWrbM7JbJ+/XrpWCmxNw02i3GZSbVlLFM4BIvrYZHIK/ggpGI6QitnQKPxxbWTv2FI5e/oEBkESzUN8R44cMBuW/fv3w9AlsOiUjjPKmDRQJwCux1AX9N3I6yCC2lZr8p7wLysV0pQVgkC5JV2v//+e7uv1YoVK2w+FzU9V4opEdm+R5ZTIlJgo7JKST4atH79ervvwXXr1knHHjp0qHoFnHladBikFXBWK4qAGoMrZ/4G5RzJO3InZzaVbOw8YfWXHAMWummc+cQ8YsQIhLYItdkJhrYIVQxFO1ovBIDdDsAmB5Jepc5A5VhpFRNkK29UPjUPGTIEAJCSkmK3yqy8A+rUqROgAbx+aYHIwncRaBgBQTCiYM+XuLryLXTrVF0QD3C8ymdgYKDdtgYHBwMwBYLmKTl5wNAMimXlEsF03a8A9pq+B8PqNTh48GD1NMdG09cmSNMc8ucAgOo2BnJff/21+IPKa/Xll18qLnamIqojeREJCQnw0fmIj1WebwXAR+ejGME5dOiQ3bYePnxYuujatWvVQZt5afdmSEGbPI/I0eBqxIgR8NZ52/wb9NZ5W61Cq3fVY1UCMarmaUvAGbDQTeNMwiEA7N+3H6FBoYpOMDRIXPkiFxgYaPe85hEWSRzEZMsdAE7D/gZx56FMzjxnfYg0auLAP0CpZoxK0GTu3KXCdSrH7dixQzrnoEGD4BfXDVEPfQCdXzsYrhUh57tXUfzr94AgWCXoOjrEGxYWZrcNLVq0AADodDrxBuOh3KNpApTXS08YVKdk5MLDw6uL9+01fe0x/S5UjzIpll/LtjGwVW5fyqdRea3k+TaK50oWXKgNh097ahoKrxUqHlfhtUI88eQT0jEbN25Epb7SZs2YSn2ltO8VANx2221229qlSxfpIuk9qBK0WY56OBJcZWRkiHt0masCmwPRSnGPLstP154ydVDTaFhsbKzdKUS1vb8aI2f/Z7sak27ppklISMAdQ+/A9nXbxX+grQGcEwuBDblziFV+QHx8PHJzcrF582bs3bvXZm0RQLYEeR2qh9o1AFLF702aiOubNRqNeL8LAZTLTmDqT+V1WCSrYbWk01KTJk1wvfy6aqVd8/0DFvvuyLW2uN5M5ThzW41GAcsO5iN87L+g0WihzzqJq6vmwFB81WZbnanyKXXeNbQ1LCxMXAmlkshqDmwk8ikZ0/3bSqaOiooSX0dvWCX9wgi0bCnm5Jg3CSwoLLAqt2+5SSAAu8mpctJzFQlFMrchono43Nndmvft22d3ubx8uX5ycrK4PYTK++quu+6S2iT9DawFMABiQnkOpIRyf39/xWNzJOlUmhoZA7EQ4AVUb4+xUrlU2hOqxzqaHJqZmWl3J3Sr0gKNmLNL+12NIyx0c2kAoUpQfGITquzPectXONhy6tQp8R+QHspP4noAAqRPWoIgKFfomD/dm9tlOfdu7iwtlnRadmze3t52E2TlCY/Spz6VTyzm6ysqKuweV1FRgeLySkxZkoIvUvKg0WhRcnAjspfOEoMVQKrVYS7aBjg3xCvtraTShk6dOgEwBSR2Rk2sAhY79y/naIKytEmg5d2EWW8S6O/vbzc5Vd6xKwrSyadvTMnctdmtWUqOVcm38vX1lW4qdawqU23yjnXo0KHKrSRWQQyyTKNR8kDf6aTTOABtIY6ctYXN18oTpg6cHuFxYAqRHF/afzNwhIVumoyMDGzbsk38h9ISQD6kypnbVm6z+hRmrxhafHy8dNn169erk2nvhvKTeIVF9VQHP907c6xU9Xa09ePCSuU0w4kTJ+x+ws/IyAAA6PV6u/sjVQWE40/zduNc3jUIhkrkb16I0uObrEciKsR9j8ycqV4aHh5udwmuee+loqIiu8+VVKdG7rzsWMDm9FlWlmm4LA02l/Wak3KlzlI5iCAVDrRZjK0Q1fsOyTa1lJMK0gXDern8dWVBOkeXVtc0wiY9ZkAs2AeIU21VqH5feQP4r/i6/vWvfwUAJCYmmhoN5Yig6feuXbtKFzlaZC42Nrb6Mdl4r8inTm5G4Th7VXmdGeFRTCEmQ7WCM4kcXdp/M9R5wNK6dWubQ2rTpk3Dxx9/bHX5jh07pERDuWPHjil2z6X6T/EpLBhAqOkK07vQsmNJ7JGI4hJl0bW8/Dx0T+yOwoJC6TJpxY58L5sYiJ/EVypX9Ej3L9faTqPjYHNXYTkpqVTlccmTTps2bVpdOE4e+OjEy8zTR4GBgWIgVAWraY4mHQYiLHkGzuVdQ8tm/ji5+FWUnkixWS/D8vEnJCSgeWhzFKwusJrqah6qnD65cuWKcgmyWRPx3ObOt6Y6LDk5OcrL7QRiNpOfM+3/Lu2jcxlAP1S3+QCs9tGRnv9KKIMQ027N8nwnaWTPovnmvX3kr6ujQ+c1bc0gL0j4+++/Vx8bbX3sb7/9Jl2UmppqtyquvIKvpIagUXr8KtOitXn8teHIVI8zdXDMU9PbdmxTvq+9gTuG3uFxRe48RU0VhG+GOg9Y9u/fr/gH+ccff2DYsGF48MEH7d7uxIkTCAqqXnppcxiZ6jVnPoVt3LgRxYXFNvMwigqLrIpWAVDdy8aKA5/uJSp5GbU9rzTaU2FxhWlFtXkJsDQ1MRri47gIIMYLzf0fQ1DzPwEABrQLw4cPdUenDy+Jx6r8s5aPBGRkZKAgv0AcjboDip2NC/ILbOewyPN9ZL9bJqiqPX6r3CD59JmZKWCQCwgIsNsJK5KpBYjH7pGdQGd9zpYtW4pbOVgGRqbfY2JipIukIn8+sDlyJ39eAccKp5lXdKkFbOZpNkAWCKoEDPLn//fff7dbaFFeM8XRPaKkQFAlh8hy1MRVheMc2fLA2REeaY8qeRA0bIRHFrmjanUesFgGGm+//Tbatm1b4zBbeHg4mjVrVtfNIQ/izKewhQsX2u2sFixYYB2w6GH/d8D5T/cqO+XaPK9a9VLZeS9cuGC3EzQv0Zb21EkDcBbwCmiOsJYvwK+52KHp01Zj8ZxP4KXVVCf1qvyzDggIkC6SapaYV6mYmaoCyxMp8/Ly7LbVXBpeUYfFRgVhqzosgEUgBimRU06aklHphM2jEd99953d6sHfffcdXnrpJQCyPCYfAD0g5vmYR2MqlKMG+/fvtzvV9fvvvyveg47UHxk0aJDdgE3+f9Lb29tuwCAPmGpa2n/hwgXpIqdGGJyYQnXF1IGjUz3OjvB40jQHOc6lOSwVFRVYsmQJZs6caXsFhkz37t1RXl6Ojh074uWXX7Y5TSSn1+vFeX4Tq/1ayCMtmL9A3PdmZXVeSrMW1nt4nD171m5nde7cOeWJ7QQ3ikBEgNg52JjisOLoOc3nVVl1IFdZWWm3EzB3mFIOSxagm9AJYa2eh7cmBEZ9GXLX/ge4eAhe2k8ByOqlqARi8pHLK1eu2F2lIl+lJAUMKm01/02Xl5dXd8JbZA/W1AnLa4BI0iyem3jrQ6RNLVU64WPHjgGoObCQCuDBtAeOOWCrTu2RArajR49KF5nzidTuX7re5IGxD2D7zu2KyzZu3ogHxj5gXe69BZQjd2Hi/ctFRUWJr4fK44qMjJSOVeyTZSNoVd0F284IQ213YK7LqQNn2lCbER5PL3InZy+Hp7FwacCyatUqFBYWSjvV2hIVFYVPP/0USUlJ0Ov1+PrrrzF06FDs2LEDAwcOVL3d3Llz8frrr7ug1eRKUq2K4RADhWtA4a9irQrz8C4gG6lT+UcVGhqqvNxOcGPFctGRwcYxzp4TACwHEq5ZHyJ9Kq5h+sYcBARO+BOah/0FGo03KirP4erlOag6edmpaRarVVYCbG/qaPG4pH/mKm01X1/TKi6r602BmCJgsjHKJX0gUemEzYGQuYCdWjvlAZvVNg4WAZs83yYkJMTu/UvXQ+xMtm/bLk5D/Un5uLZtrU4ol0aDVO5fPhokBXoqj0v+gS0kJMShBGkzR0YYPGEHZmeSxJ0ZNfGk/XFqUp/a6mouDVg+//xzJCcnIzo6WvWY9u3bV2/yBbHc84ULF/Dee+/ZDVhmz56NmTNnSr8XFxcr5p/J89gc3gVgCLDO5B88eDC2bt2q+s/S5ghcHGpMkAUg5YtIqmweVX1OObVzakz3ayPpU94JK/bdsdMJw1uHsJHTEdBCnCIoO7oDeRvmQfAROyn5J0NpSkjlU7u8DowkDTZX3shJeyCpdBbm6xXTLDZGo6w+xZoDQcsdiC0CJo1GY3fkyDwlNHHiRLGCrUo7J02aJJ1Tq9XCWGWsXlYMKKeZvKqTXqVdwFXuXx4ESFNtKgGueartxIkTdgNG+aiNNI2j8l6RpoFg2tjT/L6zMXooTTFasDca4swGnHJ1ORKQkJCAIUOHYPua7cq/U2/gjjttJ8g6MsLz4NgHsf3X7YqgcdO6TbZHw1zIkefKkRyexsJlAcv58+exZcsW/PjjjzUfbKFPnz5YsmSJ3WN0Op11BU1yq5r++JwZ3pU2flP5Zynf+E3iSIKsM9M8gOMJugIcSvosKiqqXtYsz/fYLd6+sLAQZ66WInLy+/BtEQfBUIWCvM9RcstPwChIeRny80rLuotQvVT3GqSluvIpmYiICLsjHBER1U9aVFSU+INK0qe5cJv0+J0ZjXIgYJKWS6uMHBUWFoo3NS9xV2ln69atpYvCwsLETS5V3oPyICQ3N7d6RZH8/k0bNVolHQM1BrjO7MAsTQuqvFfkIyxSLRwjFKOX5jyi2ixi2Ldvn92pTnmRO8B1IwEajQYabw2EPwnS+1Wzzn6KgT3mOjSWeTGCINgsr+AKjj5XnlCQz5O4rHDcF198gfDwcNx9991O3zYtLa36nyV5PEf3EHGmzLOUl6CyoZ205NPMPMJRQ7l3e6XmrZg/XR+E1YZ+No8VYLMgnZyPj0/1smZ5gS9TwBTQvi9Gz/8Vvi3iUFWajyuXX0RJwE9WRdPkzp8/r6wXsgpiuXdTMTR5vk9sbKz6CIegrK0hL/9vi7lwm8SZ0SiV/YlsslEQDqjOoZEKvKkU+ZMXLZNWX6m8B+UJylJ9nTEQtxoYbPo+WrzYnHQMyJJlVc5rvn7s2LHiBSpLtaXrYSoiZ+e9Ii8yN378+OrXtR/EImj9IL2uEydOhLOkgLQ7bBZYk+q0mLiiNL+5dlNd7qzsCZsfOvpceUJBPk/ikhEWo9GIL774Ao888ojV0r/Zs2fj0qVL+OqrrwAAH3zwAVq3bo1OnTpJSborVqxQ3TWVPI+jQ5bOlOY/ceKE+EN3iLv5yleTnLVOeHSqIJyjHaudT/c2j7VVkdXi/rt164a9v+21XtGyTotmAychuO9YlOirUH7hCHJXvw1DeEGNyalSQqXKiiZ5wqU0jaDyCV9eQ+mPP/6wOyIlbc5n5sxolANTQn5+fuIP402PzfweCAPw3+o9impKDpb/D6qsrLQ7cidVGIYsTyoOYkdpirdRZHE9TO/tOx3cdsIcXMmfU9PKHzkvL9MQkcoSePnjkgrOqby3L126BGdFR0dXB+13wWpKTD4a56qRgNom/jrE0fdrHXPmufKEPCJP4pKAZcuWLcjMzMRf/vIXq+uysrIUc68VFRV47rnncOnSJfj7+6NTp05Yu3atYp8M8lxO/6PSoLo0v4ngbR0BSHPuKsP8JSUl1o1xNBBRyXWwyYHVHBIHpjmkYmyyzlXbJQhh0f+Af0B3AMBfbo/Hq2NGA4LBoeRUAHY7QasEXQ3EIms2lgDLZWVl2Z3qyc6WPTF2ggCbAZ4Dz1VsbKzY0apM9ZlHg5zZrVvaRkFlmkO+jYI0QqjSWchHWADZyhvZKpXhycMVq1SkXBeV4Eq+rNxgMNhdVi6vdyUF+CpttQrwHdC2bdvqqU75c2Wa6pR3lq4KLFzRYTtah8ZVnC1y50l7+bibSwKW4cOHqy4XW7x4seL3WbNmYdasWa5oBt0EzvzxOVOaX0r4U+mEz549CyuOfmJSCYKsmPNCbKzmsBkwOBBcXLxormsufvM1tkOLitnwDgiHsaIcRZs/xj/f3oZXjaYGOpAXIu0ArdIJyjs2aUpI5Vj5lJCjK5oAOLysG4DDz5W0NUABbAZX5t2apaXYKq+/fKl2VFSUOEXWHcA9UG6jcBaKqeiLFy9Wd2zyHBJTbpD0Wpo4skrFmc0vpX2HVF4raQQGsiJ3Kp2wvIKuo6SEV4ul2jBYJ7y6aiTAFR22uyvdOvtcuaogX33EvYTohjiz7FAR3MhX6rQWv8mDm5KSErv/rK3q7piHruX/rG2NRpiDIIsqr6q1VVRWk1ixMxIhJ9/UsGnsCIT4ToVG44PKiku4+vUcVOZaJEE4MGokBSQqx8oDFmdGI3r27CmOcKj8Y+3Zs6fyHCpBgBUHp4Sk3ByV94C5rVIiscrrL5+6OHPmjN1pDuk9CqBLly7Ytm2b+Iu8voxphKFLly42HpyDdUicmY5w4D0gCILdoLGmpedqHE14deVIgCs6bHdWuk1ISEBoi1Dkrc2zer+GtghlkTs7GLDQDXFm2aEU3KgM8cuDGynvQuWftWUhLIfzTQSoVnm1ydFpJvOxjiyr9vJByPWpCNSNAABcy9iL3A3/hXDdRuEWBzo2qTNSOdZmZ+XAeZOSkrBq9SrVQCApKan6YPOnexubydV2SshcGE7tNTAXecvJybE7dSFfzZOXl2f3vSI/dtq0afjwow+t841MIzzTpk2z8cDsy83NtTsSIr9/aXpK5bWSJ91KNWFUgkZ5zRhHKUZEHVhN46qRAFd02O4MAjIyMsQNXSOhfA9GAHlX8lTzfTxhLx93Y8BCN8yZT2HNQpqh8Gqh8opcoFlIM8UfY1lZmfiDyj9rq4AFUN0tWdlYOD7NY+f+bXJgWbVXUDha3Dsbush2EAQDCg1LUKz5ATAKtkeDHN1GwMFjY2Nj7R4rnxI6efKk3WW9ihUaLpgSqqlwnPn648ePi7fVQLmk1zR1c+TIEemmUvCm8l6xWWTP0WRuB0jTd5bPqY0if+Hh4cgvyFd9reRLlRU1Y2yMHFkWjnOEs3kprg4CHO2wnakD444gQHpeVXbhvqFE4gaOAQvdEGc+hWVkZIi7LPvCKi+lsKBQcaxUjEzlk6jNHKk42NwtWcGZaR5zB2BjfxybAUMBlHVQdiqP3ZVxFVGPfgAv/yAYDEXI9f83yr3S1dsgQFwhIr9cLbBycIRJ6jBVjpXvpXPw4MHqpM9BqA4EdortOnjwoPLkzk4J1fAa+Pj4oLKqUjWHxMdbHIHo0KGD9esKiK/DSuWGglICssp7RZ7r4YpE0rvvvhvz5s1TTea+5557pIuCg4PtvlZShV/IgkuVY2uz/Le2eSnuGgmoLxVhrZ5X83vQ9OfU2Fb+OIMBC9XI3icWZ/6pf/fdd3Y/scrLkldUVNjusE2f7uVFsySOjoY4Os1jnmawkb9g81jVqSYN5m87ifc3Z8DLPwj6rAxcDZ0Lg5dsHbKtNmggBnc2ggWbbXBgRZPUIauMMMgTaS9duqRcrl0AcVmxKRBQJJ2ag7sBEAOLHKgHd4BDr4Gfnx8qSyrFxyt/DUzvAXNNlcTERLvn7Nq1q+LxGwwGh3aWdkUi6YgRIxASFiKOnJiDW1MgHBIWoijEJiUAj4bNjSLlCcJS8Kjyuqanpzvd1vq2QqW+VIStb8+rJ2HAQqoc+cTizD91aRM6lY5l//790kVScqrlzJLG4nr55Y5OnzgzzaNSA8OKylSTxi8AYXfNxHubxGWlJekbkL/lE2B0Zc1tMAcL/gAuQeysbNR2sXf/lo9fkXRrY4RBnnQrLR1XyTdRLC13JriDqX3yx2WjcnxFRYXdZb3moDU1NbX6nDYSvw8ePIjk5GQAsqXCKqM28gRlAPaXa9fSgd8PoGfvnsjbXL0BaGiLUOzft19xXGBgoPhDGmzW4pGuh8W+QzZeV6u/FwfVJi/FHZv01beKsFz5UzsMWEiVI59YEhISoPHSQFgrWAULGi+N4p+ENI2j0rHIP91qNBoIEMTOSr6iZxfE2iKWPYZ5hEPemdtKprXXAdma5lHpLB1ZUeTjE4cWQS/BJyQavt5avDG6Ex565x7ngqsNUG6iaGNbILX7tzXNIuVzqARt8nwPb29v6Cv0qvkmimXN5hwSR3ODVkFZKM3Gqtuqqiq7I3Lm6StpV+fVsLlcXf6YAFSP3NkYtZG/rU6fPm03N6e2uQbBwcHo0aOH4oNAjx490KxZM8Vx0oaGKs+/PJG2po0aazslUl82FHRpgTkX4Mqf2mHAQjY5+onl888/h2AQxOkIi2BBuCJg8eLF0m7d0nSESscizx+Qhu6bweY0i3yTOom/xe+2OncBqhvE2TzWmYRL2T/LJlWDEBo3HVqNH6qKcrDmpXtxW6tmeMh8XpUVLVYsZ75szITZun8ANqdZ8vPz7QZMlsXQHM03kQKmGnaABuBwIOjobtGlpaV2l6tfv169jbaPj48YhKncv7xwnDR6qLILd21zDRyduggLC7P7/MsTaaWcL7VA+AY5kpfizimZ+loRlit/nMOAhWxy9BOLtN+MSsb71q1bpYAlKyvLbjE4qbw4xKJYBqNBtWiYvGgWAIdXnkgbxMl3VU6xcZyZo/kuMN1ntDeaG/+CoMA/ARrg+tlU5P70Hm5b+GdlG1RWtFi1VaUsfm1XNEn1bVQCJvk0j9TRqzwH8k0VATi0VBmAw4GgYkTOxuMyXy+NhKjkEMn3W/Hz8xOnklTuX9prCLJ6GQV5Vu9BW/UyHFGrqQsH3oMFBQXiY4iGzdEgy3296pq7p2SYF9I4uGzzQ6rfpNGO8xZXnBO/macDpMDhPJSdqOk4ea0IvV6v7KyCTd9NG/rJO0CDwWD3WKtcA/knUfOxtjY1FCCO2uwBsBfAr6bj7eVa2Hj8tnhtCUFEwVtisAKgcO+3yPn+NRivWxS5M49GyDepG6nS1jreqNFqCfAY03eteJlU+wQWr63cOfGbonqqBtXl/p81fb9sff8SBzphadRgvcXj2gDFSrGmTZsqc3jM918sHiff0FBKVFW5/+joaOkiqV6Gjfdg3tW8Wq28cWYzO2kTPpXnX75Jn5SjojIaVNscFkd5wiZ9y5Yuw50D71RslnrnQOaFNCQcYSGbjEZjdWchH2I2dRbm/AEpcFCZ5pH/o5SKYqn8U5MXzXKmeqvEkdEQB5NTpWMdzDXRxXRCi9EvwCugOYxCGXKz3sf1fRY7SjvbVmeOM48wWEzLWebwSCt/VJYAX758ufqigAAUFhWq5vw0bdpUef/OTJ85MBrk5eUlvs7BNh7X9eqgOSAgwG4OjzxgkZYCq9y/fKmwK/IinJm6yMzMtPs3KN+TLSgoyO42BvIEXVfwhCkZ5oU0fAxYyCZp4zOVzsL8D6hDhw52p3nkNTCkKQaVf2ryXAOJAx2bU8fa6dhsHqtSNE06RBAQ2GM0mg/5CzRaL1RozuGqbg6q2l5WX9HjaFudOQ5QnZaTq6w0LXNS6YSl6yEb5VJJOrUKGuPgWKVfBwPBJk2aoKS0BCiEcgmwafqsSRMxSUn69O7Ap3u9Xm838Vr+HnRm2wlHKcqyW9T3sZxm6tu3r7hpocrf4O233y5d1LVrV3Fps0rQKF/a7QqeNCXDvJCGiwEL2aSYv7eoFyH/xyrtYeLAxnstWrRAXn6eamchr9wJwPlKr46u/nEmL8XWNI1Jmb4Kz684hJChfxN/N+xAXsA8CBq9/fPa+dRslcPizA7I51G9VFgLm0uFfXx8xKk3lUBInnQqVV1VmWawClgcqPQLwKFAEJBt/lcJZW6KqRiaeUpKMX1p4zHJp65yc3Nt37/pnHl51UuNndl2wlHSNJMfrJaAm6eZzOe9/fbb8eWXXwJXLU5iGojs27evdFH//v3x1Vdfqb63+/fv73RbncWluuRqDFjIJsV+FxaJjPL9LnJycsTLVT5dS9cDaN++vZhDodJZJCQkKBvh4DSHdKyjpeEdHbXQQCzcZmM1iXezaNy74FdkXCmFYKhCwbb/oaT1z46d187IldVxzWwcp7bv0SrUuFRYmupTCQTlpeF9fHzsTjPI85PsHWczuBoDMQi+AEUxNLmmTZuisLBQ5cFWT3PEx8fjzNkzqsFdfHx19m9pqY0oTsbyeke3nXDU6dOnq58TG8+V1TSTndFLuUGDBok/qLy3petdiFMy5GoMWMgmaf5eZamw+R+rlJip8ula/oldyg/wgTLfxVv83WatBkeWKpupjAQoODq6AaiOHPn/0Qdhd89ExpVShAfqcGjhP6C/fAw4AsdGgwDVT821Ps68osjRmjEqgaB8ywNphENl9EyxUsvZHJY4iEGbadYFRSrHATXuETV48GBs3bpVNRAePHiwdFFISIjdIEhe28TZzf8codVq7T5X8to2zhwLwCVF7mqDUzLkKlwlRDa1bdu2eqnwMFSvJskCoKmev9+7d694A5WO9ddff5UuunTpkviDZS0RU17uhQsXlJeb71++8sN0/1bkn/DNxxbaOFZAdbn//5q+q5W6B5RD7IIWzdo+gvD7XoZW1wS9Wofg56f7Q3/pmDIIMJ+3mcp5zZ+a5W31ttFWR48zPy6VFVVyUlA4HsCfAHSBGBBMEC+Wd9g1JT7L9x2yd5xNDqy+UuTbhAJoZ/reWnn92LFjxQtUpu+k6wG0adPG7rHS9XDNyhepmrPKOX//vTpRW1oFpHLs9u3blW2VjzKa34NRAISbs0qHyNU4wkLqzFMSNvfHEV29etVuvRD5lFB6errdaRarzfQEOFa0zHxsHe6qKzENsWuFIIRVzIK/VzcAQPH+VVj61ifwkRewGw8xcDPv+RIGq6RXp9pam1ELudbWh0grexYCMK8iPwyxDguUK390OtOFKtMMfn5+ypM7M9XmwKaSXbp0wZUrV1TP26VLFwDiVKLWW2u90zIArbdW8WlfqrOihfX0mVFZh8UVK1+kvweVc8r/XoqKiuweW1xcvVxeamt32NyA0lMLpxE5gwEL2STNtRdBWWQtFdZz7XYCC3m5fSmhUaUTli9rlqjkxtjkyCd8O8GV2rJmX10CWsS8AG9NOIyV5chb/xGuHdsFH6/PlMc7mnTqaFudOQ5wKGDQ6XR2cyjkeSkBAQHVU2jy4GI3FKt0ADiXIG0e5ZInndo4Ljo62u40h7lmysaNG2E0GG0GwsYKIzZv3ixtKih17H+COC15BkAbSNWP5cGNK1a+3H333Zg3f57qY5Lv1tyzZ0+s+WmN6vPao0cP220dzsJp1DAxYCGbpPlzAWKRNTNTRVTz/LlUZ0UlsLBZsMqZTtiZIMDRZc13QcyNSYM4EpIM1VGbpreOQEj0VGg0PqjMv4Srq95C5dVM62OdTTqt62XNTiwVtjdyIx9hadq0afV7wMamhkFBQdWX2cmLsdlWlVE2eVszMjLsJlNnZIgbSq5du9buY/r555+lgEXa/HAtxPfBncrnSr6sG6j7lS8jRoxA85DmKCgssMq3aR7SXLFb89ixY/HKK6+orqiST3UBwIL5C9CrTy/kraxe6dSsRTMs/HhhrdpK5GkYsJBN0moSlU/i5vwF6R+8SmBh2QEAcK4TLkD1smrz/jD2ljXb2IHX6lgHNhTUePsiZNhUNL1tOADgWsZe5K79LwSNrUxeODd94+hohLMJwhqL+7OxP5G0/YFK0CgvHDdkyBAcOnxI9T0gT2YF4FAdGKmtDjxXERGmN5HKNIf5emnZsspjkicHh4eHi/dVBZsJuuHh4YpTuGLlS8r+FHG35quy3ZpDrHdrTkhIwIBBA/DL7l+UJ9AAAwYNsGrHtKemofBaoWLLh8JfC/HEk0+4fC8fopuBAQvZtGnTJrsdy9atW5GcnFw95ePMahZnpg6aw24OjeJYLZQjAbY2NdRAnAqwMxJyIf8aIia+C13kLRCMBhTu+grF+1aIV1psYaTg6PSVo6MRAhxb/mxmGRtWWR8SFRWFc+fOqQaNkZGR0kVHjhyx+x44evSo8uTmc4aafrdISVJwYJTtiSeewOo1q8X3RzKspk+mTZsGQFacUOUxdezYUbpo7NixeOWfr4jTgrdBfC79ARwDYLQetTCry5Uv8fHxyM3JxebNm7F371707dtXMbIit3rlanGER74D8vARViM8NvfyAWAIuDl7+RDdDAxYyKb169eLP6h0LGvXrsV7770nbpZnJy9EvpkeALufbm1yJhAyoubND80dsHxXYVlF2p0ZVzHj2zToIm+B4VoRcte/i/LbDoqrdOQ1MGy115npK0dGIyxHmFSSU318fFBZValar8PHu3pp+WOPPYa9v+1VDRoff/xx6VjFihYbgZh8RUutitzVMMoWHx9vt8hb69ZiQwYNGmT3/uU1SBISEjBgoGnUIk15zgEDrUctXGnYsGGqgYqZoyM8rthGgMjTMGAhm8rKysQfVDoW8/UVFRV2k25t5rCMhjj6YV5NY6NoGADnEmTttMFKGmzsKqxBcN+xePSL3yEIgP5yBq6umgvDsKuOT/PUJofF3miEObizUeVVLiIiAhcvXlQdCZGmVmBKVLUTNMqPDQ0NFVeqqARioaGh1ZcJcLzInYOjbFInrINyCs/0u1Xit0pgY8nRUQtPUtMIjyfs5UPkagxYSJ29T80mOp1OzFNR+WQnLY2VS4OyAm28yv07E4QAjq8SMu8qbAosNFsCEHb/39Hkll4QBGB8r1i8PfZewKD+uGy21c7IjVUbHM1hUZm6kB8nrexRaat85Y+U7zEaNouxyYuR9e/fX6wgqxKImcu9+/v743r5ddXRoCb+1UlC3t7eYv6TSr6NvNCg1AmPhM2quOZOWApsYqF8X5l+txxdaIgVWT1pLx8iV2HAQjZdv37d7goN8yZxUgd3HjY3iJN3QACUxeDsTd2YORowmNvgyCoh2UiET+fWaBH3Inx8oyFUVeDf43pgbM8YvG2odPycZjZHblTaYC5eZ2bx+KWOvRJWUxfyVVqALCBRaas8YJF2+I2DmB9jHiQxv4znz0vHFhYW2s1hMdcJCQoKEt8PFVCOBpkek3w1UWRkJC5euiiew7xcXgMgRfwuz6GxWqrbHTY74drWIGloFVm5lw81dAxYGpCMjAycPn26bj8xqnQC5hLu0t4rq6Est29KTrWZw+LMqIkzK4qc3PwwoGowQiqfgtbXD1VFV3B15RyMfU9WEdSZBGFnA7HWUI4GWPwu7aNjWQvN9Lt5Hx0A6NWrF46fOK7a1t69e1vfvwPPq5RQXUPQOGLECHHjPS2U7wHT7yNHjpQu6tGjhzh9pYHN5fLy2iKAY50wa5CIGuLIEZEcA5YGID8/HxMmTVDOySeLc/I29+dxgL+/v7JeRWsoOkFz0TCproVKwqfVjr6A46Mmzq4ocnjzQ2807/AYggyjAADXy1KQu/g9GMttBFcOLBWWjnUmEFMJBM2kKrL+UOZvmH6XT7W99NJLYsCgkpfy0ksvSRc5k6Dao0cPrF69WjW4MQcXEyZMEO9fZZppwoQJ0k1jYmLEH56AmMhrnuYxVQWWrjdxtBPm6EK1hjZyRGTGgKUBmDBpArbs2qL4dL9l4xaMnzi+1vUXQkNDxU/CKstvzQmXGo0GglFQnTbQykvXmzk6amIrkdJUNMumGoIAAPAKDEFYwAvwM4hLXQvzlqFo6TJAb13WXQqMbExd3ND0lbm+ykio1lcZPny4GASo5G/IRy0kKqMxVhxMUJWWAKsEjeYlwFJJfJVpJvmeQ3fffTfmzZtX/R4wb35oSjqWV3qVq6kT5ugCUcPHzQ/rOXP9BcMIg2LjO8NwAzauF+svqN1u/fr1qtebl4xiPIDpACaavps+LJs3iZM+6TuQ8AmgetTkIMSy/wdRPWpiSQOxIupwVG++6Gvn2HUQg5Rw03fLBOGYzoh6+EP4RXeEsbwUOT/8C0X/WwpEGtVHTaogTl3sNX2vgnrAdN7i93PWh/j7+yvrq/zX9D1IPK95L5sJEyZUP6ZSiMFYafVjko9aSEmnrS3uzPS7fOM7RYKqXKz1seYlwFJwY25rpXIJsGKFio3HL88hGTFiBELCQmy+B0LCQmpc5luTdu3aITk5mcEKUQPEEZZ6ztn6C45OH8XGmnowleW3rVq1AiAbiVEZNQkLC5MuqmmFiDyRFID1NAsgjjbYmmapYUrof7+cQcRDb0Gj9UKF/iyuCnNQ1SdLPL+NkRgA1VNd8lU6R2F336Gapq+mTJmCDz78QHVFjbkYmtFotPuY5KMWziSdOpuganMJ8IgR6jkkDqxQOfD7AbHSq6yEfGgL60qvRERyDFjqOWfrLzg6fSRt0qbSCZuH7sPCwsRVHyo5EfJaHRqNxu40i3yjRIkzq4RsdMKai34ITX4ab649Bo3WC6VHtiN/+3wIw/WO5cVYrtKxMSXVtGlTMflYJRCTJ8gOHz4cH3zwgTgFI19RY6rKO3ToUADOBRbOJJ06m6DqihwSZyq9EhFJhDr26quvChD/pUtfERERdm+zY8cOITExUdDpdEJ8fLywcOFCp++3qKhIACAUFRXVtun11ojkEYJXgJeAeyHgWQi4F4JXgJcwInmE4rgTJ06Ir8l9EPCa7Ote8XXKyMhQHB8S2lyAl/K1hBeEkNDm0jF33HGHeHm8xXGm34cOHSodq9VqxeuaWBxr+l2r1Vofq9JW+bEABGggQAfFc+Ad2VKIeuxjIe75n4W2s9cKgYn3SI/B8jGZfzbz9va2e6y3t7d07NChQ6vvvx8E9DV914ntGjZsmO3XYDIEDDZ9t/EaOPq6CoIg5OfnCyOSRyjaOiJ5hJCfn39DxzorIyNDWLdundV7iYhIjaP9t0sClk6dOglZWVnSV05OjurxZ86cEZo0aSLMmDFDOHr0qPDZZ58JPj4+wg8//ODU/TbmgMXRDmjdunXi9c9aBAHPirdZt26d4vgzZ84IYS1CFecNaxEqnDlzRjrmf//7X3UHPB0CJpq+mzrgL774Qjo2NDTUbmcdFhYmHdutWzebQYg5COjevbt0bEBAQHXQYmqnf0JfIeaZ74S4538WYp76SjhwLk+IiIiwG4RERkZK5+zatat4ndbiWNPv3bp1k46VghA/i2N1tgNBRwOR2gQWzgQMDC6IyBO4NWDp2rWrw8fPmjVL6NChg+KyKVOmCH369HHqfhtzwGJWUwfk7AiL2aZNm4TXX39d2LRpk83rvX29bQYW3r7eiuP+97//2Q1C5MHNG2+8IbbV2yIIMP3+5ptvSseOGTOmOmDQaIVmgx4R4p7/WYh7/mchYvxcYdSDEwVBEISHH35YvH8/COgOAR1M3/3E+3/kkUekc7755pt2g5C5c+cqHlvXbl1tjrB07dbV6vlyNhBhYEFEDZlbA5YmTZoIUVFRQuvWrYVx48YJp0+fVj1+wIABwtNPP6247McffxS8vb2FiooK1duVl5cLRUVF0teFCxcafcDiCGemGRyVlpYm+Oh8FB2wj85HSEtLszrWciRE/rucIrgaDQFdTN9tBFeffvqpAA0EbbMgIXzKW1Kw0vzOxwR4eQmfffaZIAiCsGHDBrsjLPKAbN26dWK7/C2CEH+xvZajUa4eDSEiaqgcDVjqfFlz79698dVXX2Hjxo347LPPkJ2djX79+iEvL8/m8dnZ2YoN1wBxA7aqqirk5qptzQvMnTsXwcHB0pdlwSmybdnSZbhz4J2KZap3DryxAlvdunVDRXkFvvjiC0yaNAlffPEFKsor0K1bN6tj09LS4OOrLNfv4+uDtLQ0xWUJCQkYOGigmPSrBXCn6fs6YOCggYrEz0GDBsE3MgFRkz6Ef7OuMFZcx9XVb6Pg8OeAwSAVQ5Pqhags6bVaeSNAXH4sX9ZsWn5smcxsTk7NyMjAunXrkJGRgQ3rNtgt3McluEREjtMIgqnGuouUlZWhbdu2mDVrFmbOnGl1fUJCAv785z9j9uzZ0mW//vor+vfvj6ysLMXeInJ6vR56vV76vbi4GDExMSgqKlLsXUK2ubvA1uLFi7F161YMHToUjz76qM1jCgoKrJfUWizBFgQB3/yeiZdWpANab1SWX8TVrLdQWXABml80GNJ/CLZu3gpArD3Tvn17cYWUjYqsGRkZiudi5F0jsWXXFhj6GaTlx157vHDnwDtrXZCPiIiUiouLERwcXGP/7fJlzQEBAejSpYtqgbLIyEhkZ2crLsvJyYG3t7dy+3oLOp3O9k7A5BB3l+9+9NFHVQMVs5qW1JZXGvDyqj/wQ8pFQOuNpkWncfT/XoBQIW7MODx5+A3tOSMt1V3Pcu9ERO7m8oBFr9fj2LFjGDBggM3r+/bti59++klx2aZNm9CjRw/rnX6pUbIVXF3Iv4apS1Jw5HIxtBrgHyM6YOqgu3BqZnKd1QthuXciIs9R51NCzz33HEaNGoXY2Fjk5OTgzTffxM6dO3H48GHExcVh9uzZuHTpkrhPCoCzZ8+ic+fOmDJlCv72t79h7969mDp1KpYtW4b777/f4ft1dEiJ6r8dJ3Iw49t0FF2vREiAL+aN747bbwmr+YYyDEKIiDyD26aELl68iPHjxyM3NxctWrRAnz598NtvvyEuLg4AkJWVhczMTOn4+Ph4rFu3Ds8++yw+/vhjREdH46OPPnIqWKHGwWgUMH/7Kfx3SwYEAega0wwLJyYiupm/0+dy95QYERE5x+VJtzcLR1gatqJrlXj2u3RsO54DAJjQOxavjuoInbeXm1tGREQ3wmOSbolu1NHLxZi6JAWZ+dfg663Fm2M6Y2wPLmMnImpMGLCQR1uZdhGzfzyM8kojWjX3x6JJSejcMtjdzSIiopuMAQt5pIoqI95cexRf7T0PABiY0AIfjuuG5gG+bm4ZERG5AwMW8jjZReWYtjQFqZmFAICn77gFM+5MgJdW496GERGR2zBgIY/y25k8PPVNKnJLKxDo540PxnXD0Fsjar4hERE1aAxYyCMIgoD//XIWb284DoNRQIfIQHwyOQlxoQHubhoREXkABizkdqX6Kjz/wyGsPZwFALi3e0vMubcL/H25ZJmIiEQMWMitTuWUYuqSFJzKKYW3VoN/juqIyX3ioNEwX4WIiKoxYCG32fBHFp77/hBK9VWICNJhwcREJMWFuLtZRETkgRiw0E1XZTDi35tO4JOdZwAAveNDMG9Cd4QH+rm5ZURE5KkYsNBNlVuqx/Rv0rD3TB4A4G8D4vH8yA7w9tK6uWVEROTJGLDQTZOWWYBpS1ORVVSOJr5e+PcDXXH3bVHubhYREdUDDFjI5QRBwNJ9mXj9pyOoNAho0yIAn0xKQruIQHc3jYiI6gkGLORS5ZUGvLTyD6xIvQgAGNkpEv9+8DYE+vm4uWVERFSfMGAhl7mQfw1Tvk7B0axiaDXA8yM74PGBbbhkmYiInMaAhVxi+4kcPPNtOoquVyI0wBfzxndHv1vC3N0sIiKqpxiwUJ0yGgV8tO0kPtx6EoIAdI1phoUTExHdzN/dTSMionqMAQvVmaJrlXhmeRq2n7gKAJjYOxb/HNUROm+W2CciohvDgIXqxJHLRXhiSSoy869B563Fm2M648EeMe5uFhERNRAMWOiG/Zh6EbN/PAx9lRExIf5YODEJnVsGu7tZRETUgDBgoVqrqDLijZ+P4uvfzgMABrdvgQ/GdUOzJr5ubhkRETU0DFioVrKKrmPa0lSkZRYCAGYMbYcZQ9tBq+WSZSIiqnsMWMhpe0/nYfqyVOSWViDIzxsfPNQNd3SIcHeziIioAWPAQg4TBAGf/XIG72w4AYNRwK1RQVg0KRFxoQHubhoRETVwDFjIIaX6Ksz64SDWHc4GANzXvSXeurcL/H25ZJmIiFyPAQvV6FROKaZ8fQCnr5bBx0uDf97TEZP6xLHEPhER3TQMWMiu9Yez8Nz3B1FWYUBEkA4LJiYhKa65u5tFRESNDAMWsqnKYMS/N57AJ7vOAAD6tAnBvPGJaBGoc3PLiIioMWLAQlZyS/V46ptU/HYmHwDw+MA2mDWiPby9tG5uGRERNVYMWEghNbMA05akIru4HAG+Xvj3g11xV5codzeLiIgaOQYsBEBcsrxkXyb+9dMRVBoEtG0RgE8mJ+GW8EB3N42IiAh1PsY/d+5c9OzZE4GBgQgPD8eYMWNw4sQJu7fZsWMHNBqN1dfx48frunlkw/UKA/7+/UG8suoPVBoEJHeOxOqn+jNYISIij1HnIyw7d+7Ek08+iZ49e6KqqgovvfQShg8fjqNHjyIgwH6BsRMnTiAoKEj6vUWLFnXdPLKQmXcNU5ak4FhWMbQa4IXkDvjbgDZcskxERB6lzgOWDRs2KH7/4osvEB4ejpSUFAwcONDubcPDw9GsWbO6bhKp2H48BzO+TUNxeRVCA3wxb0J39Gsb5u5mERERWXH5so+ioiIAQEhISI3Hdu/eHVFRURg6dCi2b99u91i9Xo/i4mLFFznGaBTw380Z+MuX+1FcXoVuMc3w89P9GawQEZHHcmnAIggCZs6cif79+6Nz586qx0VFReHTTz/FihUr8OOPP6J9+/YYOnQodu3apXqbuXPnIjg4WPqKiYlxxUNocAqvVeCxL/fjw60nIQjA5D5xWD6lD6KC/d3dNCIiIlUaQRAEV538ySefxNq1a7F79260atXKqduOGjUKGo0Ga9assXm9Xq+HXq+Xfi8uLkZMTAyKiooUeTBU7Y9LRXhiaQou5F+HzluLOfd2wf1Jzr0uREREdam4uBjBwcE19t8uW9Y8ffp0rFmzBrt27XI6WAGAPn36YMmSJarX63Q66HSsuuqoH1Iu4qWVh6GvMiImxB+LJiWhU3Swu5tFRETkkDoPWARBwPTp07Fy5Urs2LED8fHxtTpPWloaoqJYsOxG6asMeOPno1jyWyYAYEj7FvhgXHcEN/Fxc8uIiIgcV+cBy5NPPolvvvkGq1evRmBgILKzswEAwcHB8PcX8yRmz56NS5cu4auvvgIAfPDBB2jdujU6deqEiooKLFmyBCtWrMCKFSvqunmNSlbRdTyxJBXpFwqh0QAzhrbD03e0g1bLJctERFS/1HnAsnDhQgDA4MGDFZd/8cUXePTRRwEAWVlZyMzMlK6rqKjAc889h0uXLsHf3x+dOnXC2rVrcdddd9V18xqNPadzMf2bNOSVVSDIzxsfPtQdQzqEu7tZREREteLSpNubydGknYZOEAR8uusM3tlwHEYBuDUqCJ9MSkJsaBN3N42IiMiK25Nu6eYr1VfhH98fxPo/xGm4+xJb4q0xXeDv6+XmlhEREd0YBiwNxKmcEkz5OgWnr5bBx0uDf47qhEm9Y1lin4iIGgQGLA3A2kNZmPXDQZRVGBAZ5IcFkxKRGNvc3c0iIiKqMwxY6rEqgxHvbjyBT3edAQD0aROC+RMSEdaU9WmIiKhhYcBST10t0WP6slT8diYfADBlYBv8Y0R7eHu5fHsoIiKim44BSz2Ucr4ATy5NRXZxOQJ8vfDeg12R3IVF9oiIqOFiwFKPCIKAJb+dx79+PopKg4C2LQLwyeQeuCW8qbubRkRE5FIMWOqJ6xUGvLTyMH5MuwQAuKtLJN59oCua6vgSEhFRw8ferh44n1eGqUtScSyrGFoN8EJyB/xtQBsuWSYiokaDAYuH23b8Cp75Nh3F5VUIa+qLj8Z3R7+2Ye5uFhER0U3FgMVDGYwCPtx6Eh9tPQkA6B7bDAsmJiIq2N/NLSMiIrr5GLB4oMJrFZjxbTp2ZlwFADzcNw4v390Rvt5cskxERI0TAxYP88elIkxdkoKLBdeh89Zizr1dcH9SK3c3i4iIyK0YsHiQH1Iu4qWVh6GvMiI2pAkWTkpEp+hgdzeLiIjI7RiweAB9lQH/+ukolu7LBADc0SEc/x3bDcFNfNzcMiIiIs/AgMXNsoqu44klqUi/UAiNBnhmaAKm33ELtFouWSYiIjJjwOJGe07lYvqyNOSVVSDY3wcfPNQNQ9qHu7tZREREHocBixsIgoBPdp3BuxuOwygAHaOCsGhSEmJDm7i7aURERB6JActNVlJeiX98fwgbjmQDAO5PbIW37u0MPx8vN7eMiIjIczFguYlOXinBlCUpOHO1DD5eGrw6qhMm9o5liX0iIqIaMGC5SdYeysI/fjiIaxUGRAX7YcHERHSPbe7uZhEREdULDFhcrMpgxDsbjuOzX84CAPq2CcW8Cd0R1lTn5pYRERHVHwxYXOhqiR5PfZOKfWfzAQBTBrXBP4a3h7cXS+wTERE5gwGLi6Scz8e0pam4UqxHgK8X3nuwK5K7RLm7WURERPUSA5Y6JggCvv7tPN74+SgqDQJuCW+KRZOScEt4U3c3jYiIqN5iwFKHrlcY8OLKw1iZdgkAcHeXKLzzwG1oquPTTEREdCPYk9aR83llmPJ1Co5nl8BLq8Hs5A54rH88lywTERHVAQYsdWDrsSt4Znk6SsqrENbUF/MnJKJPm1B3N4uIiKjBYMByAwxGAR9uycBH204BABJjm2HBxCREBvu5uWVEREQNCwOWWiq8VoEZ36ZjZ8ZVAMDDfePw8t0d4evNJctERER1jQFLLfxxqQhTl6TgYsF1+PloMefeLrgvsZW7m0VERNRguWw4YMGCBYiPj4efnx+SkpLwyy+/2D1+586dSEpKgp+fH9q0aYNFixa5qmk35LsDF3D/wj24WHAdsSFN8OMTtzNYISIicjGXBCzLly/HM888g5deeglpaWkYMGAAkpOTkZmZafP4s2fP4q677sKAAQOQlpaGF198EU8//TRWrFjhiubVir7KgNk/HsasHw5BX2XE0A7h+Omp/ugYHeTuphERETV4GkEQhLo+ae/evZGYmIiFCxdKl916660YM2YM5s6da3X8888/jzVr1uDYsWPSZVOnTsXBgwexd+9eh+6zuLgYwcHBKCoqQlBQ3QYRlwuv44klKTh4sQgaDfDsnQl4asgt0Gq5ZJmIiOhGONp/1/kIS0VFBVJSUjB8+HDF5cOHD8eePXts3mbv3r1Wx48YMQIHDhxAZWWlzdvo9XoUFxcrvlzh11O5uGfebhy8WIRgfx988WhPPD20HYMVIiKim6jOA5bc3FwYDAZEREQoLo+IiEB2drbN22RnZ9s8vqqqCrm5uTZvM3fuXAQHB0tfMTExdfMAZK5VVGHGt2nIL6tAp+gg/Dy9Pwa3D6/z+yEiIiL7XJZ0a1nhVRAEu1VfbR1v63Kz2bNno6ioSPq6cOHCDbbYWhNfb/x3XDeM7dEKK57oh5iQJnV+H0RERFSzOl/WHBYWBi8vL6vRlJycHKtRFLPIyEibx3t7eyM01HbFWJ1OB51OVzeNtmNAuxYY0K6Fy++HiIiI1NX5CIuvry+SkpKwefNmxeWbN29Gv379bN6mb9++Vsdv2rQJPXr0gI+PT103kYiIiOoZl0wJzZw5E//73//wf//3fzh27BieffZZZGZmYurUqQDE6ZyHH35YOn7q1Kk4f/48Zs6ciWPHjuH//u//8Pnnn+O5555zRfOIiIionnFJpdtx48YhLy8P//rXv5CVlYXOnTtj3bp1iIuLAwBkZWUparLEx8dj3bp1ePbZZ/Hxxx8jOjoaH330Ee6//35XNI+IiIjqGZfUYXEHV9ZhISIiItdwWx0WIiIiorrGgIWIiIg8HgMWIiIi8ngMWIiIiMjjMWAhIiIij8eAhYiIiDweAxYiIiLyeAxYiIiIyOMxYCEiIiKP55LS/O5gLthbXFzs5pYQERGRo8z9dk2F9xtMwFJSUgIAiImJcXNLiIiIyFklJSUIDg5Wvb7B7CVkNBpx+fJlBAYGQqPR1Nl5i4uLERMTgwsXLnCPonqAr1f9wdeq/uBrVb/Ut9dLEASUlJQgOjoaWq16pkqDGWHRarVo1aqVy84fFBRUL154EvH1qj/4WtUffK3ql/r0etkbWTFj0i0RERF5PAYsRERE5PEYsNRAp9Ph1VdfhU6nc3dTyAF8veoPvlb1B1+r+qWhvl4NJumWiIiIGi6OsBAREZHHY8BCREREHo8BCxEREXk8BixERETk8Riw1GDBggWIj4+Hn58fkpKS8Msvv7i7SWThtddeg0ajUXxFRka6u1lksmvXLowaNQrR0dHQaDRYtWqV4npBEPDaa68hOjoa/v7+GDx4MI4cOeKexjZyNb1Wjz76qNXfWp8+fdzT2EZu7ty56NmzJwIDAxEeHo4xY8bgxIkTimMa2t8WAxY7li9fjmeeeQYvvfQS0tLSMGDAACQnJyMzM9PdTSMLnTp1QlZWlvR1+PBhdzeJTMrKytC1a1fMnz/f5vXvvvsu/vOf/2D+/PnYv38/IiMjMWzYMGl/MLp5anqtAGDkyJGKv7V169bdxBaS2c6dO/Hkk0/it99+w+bNm1FVVYXhw4ejrKxMOqbB/W0JpKpXr17C1KlTFZd16NBBeOGFF9zUIrLl1VdfFbp27eruZpADAAgrV66UfjcajUJkZKTw9ttvS5eVl5cLwcHBwqJFi9zQQjKzfK0EQRAeeeQRYfTo0W5pD9mXk5MjABB27twpCELD/NviCIuKiooKpKSkYPjw4YrLhw8fjj179ripVaTm5MmTiI6ORnx8PB566CGcOXPG3U0iB5w9exbZ2dmKvzOdTodBgwbx78xD7dixA+Hh4UhISMDf/vY35OTkuLtJBKCoqAgAEBISAqBh/m0xYFGRm5sLg8GAiIgIxeURERHIzs52U6vIlt69e+Orr77Cxo0b8dlnnyE7Oxv9+vVDXl6eu5tGNTD/LfHvrH5ITk7G0qVLsW3bNrz//vvYv38/7rjjDuj1enc3rVETBAEzZ85E//790blzZwAN82+rwezW7CoajUbxuyAIVpeReyUnJ0s/d+nSBX379kXbtm3x5ZdfYubMmW5sGTmKf2f1w7hx46SfO3fujB49eiAuLg5r167Ffffd58aWNW5PPfUUDh06hN27d1td15D+tjjCoiIsLAxeXl5WkWhOTo5VxEqeJSAgAF26dMHJkyfd3RSqgXk1F//O6qeoqCjExcXxb82Npk+fjjVr1mD79u1o1aqVdHlD/NtiwKLC19cXSUlJ2Lx5s+LyzZs3o1+/fm5qFTlCr9fj2LFjiIqKcndTqAbx8fGIjIxU/J1VVFRg586d/DurB/Ly8nDhwgX+rbmBIAh46qmn8OOPP2Lbtm2Ij49XXN8Q/7Y4JWTHzJkzMXnyZPTo0QN9+/bFp59+iszMTEydOtXdTSOZ5557DqNGjUJsbCxycnLw5ptvori4GI888oi7m0YASktLcerUKen3s2fPIj09HSEhIYiNjcUzzzyDOXPmoF27dmjXrh3mzJmDJk2aYMKECW5sdeNk77UKCQnBa6+9hvvvvx9RUVE4d+4cXnzxRYSFheHee+91Y6sbpyeffBLffPMNVq9ejcDAQGkkJTg4GP7+/tBoNA3vb8uta5TqgY8//liIi4sTfH19hcTERGnJGHmOcePGCVFRUYKPj48QHR0t3HfffcKRI0fc3Swy2b59uwDA6uuRRx4RBEFcfvnqq68KkZGRgk6nEwYOHCgcPnzYvY1upOy9VteuXROGDx8utGjRQvDx8RFiY2OFRx55RMjMzHR3sxslW68TAOGLL76Qjmlof1saQRCEmx8mERERETmOOSxERETk8RiwEBERkcdjwEJEREQejwELEREReTwGLEREROTxGLAQERGRx2PAQkRERB6PAQsRERF5PAYsRERE5PEYsBAREZHHY8BCREREHo8BCxEREXm8/wfzYAwK5Vkf1wAAAABJRU5ErkJggg==\n", 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" ] @@ -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", 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[==============================] - 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", 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\n", 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" ] @@ -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", 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KbcGChYiIaryiEi3e3HAK64+JeZURnQMRP7Ij6rkxr1JbsGAhIqIa7UbOPbyw4ihOXc+FkwJ4M64tnns0hHmVWoYFCxER1ViHLmVjxiqjvMq4roh6hHmV2ogFCxER1TiCIOB7fV6lVCegXYCYVwnyYl6ltmLBQkRENUpRiRZvbfgD645dAwA80SkQ80cxr1LbsWAhIqIa40bOPUxbeRQnr4l5lTmxbfHXPsyr1AUsWIiIqEY4fCkbM344hqz8YjSq74qFY7vi0VDmVeoKFixEROTQBEHAikNX8P7Pf6JUJ6BtgCeWMq9S57BgISIih1VUosU7G//A/46KeZVhnQLxCfMqdRILFiIickg3c+9h2oqjOKHPq/wjtg2e79OSeZU6igULERE5nN/T7mD6qqNSXmXB2C7oE9rE3s0iO3KydYc9e/Zg2LBhCAwMhEKhwMaNG2Xrp0yZAoVCIfvq2bPnfY+7bt06tGvXDkqlEu3atcOGDRtsbRoREdVwgiBgxcHLGPfvQ8jKL0Ybfw9snvEoixWyvWApKChAp06dsHDhQrPbDBkyBDdv3pS+tm7davGYBw8exJgxYzBx4kScOHECEydOxOjRo3H48GFbm0dERDVUUYkWb6w7iXc2nUapTsDjHQOwfnoUmnszXEuAQhAEodI7KxTYsGEDRowYIS2bMmUKcnJyKvS8WDJmzBio1Wps27ZNWjZkyBA0btwYq1evtuoYarUaKpUKubm58PT0tPq9iYjI/jJyi/DCyqM4cTUHTgrg9SFt8EJf5lXqAmuv3zb3sFhj9+7d8PX1RVhYGJ5//nlkZmZa3P7gwYOIjo6WLYuJicGBAwfM7qPRaKBWq2VfRERU8xy5fAePL9iHE1dzoKrnimXPdse0fq1YrJBMlRcssbGxWLVqFXbu3InPPvsMR44cwcCBA6HRaMzuk5GRAT8/P9kyPz8/ZGRkmN0nPj4eKpVK+goKCqqycyAioupnmF9l7NJDyMrXoI2/B36e+Sj6hjGvQhVV+V1CY8aMkf7doUMHREZGIjg4GFu2bMHIkSPN7le+khYEwWJ1PWfOHMyePVt6rVarWbQQEdUQmlIt/m/jaaxNvgoAGNoxAP98qiPqu/HmVTKt2v/LCAgIQHBwMM6fP292G39//wq9KZmZmRV6XYwplUoolcoqaycRET0cGblFmLbyKFKu5kChAF6PaYNp/ZhXIcuqJcNiLDs7G1evXkVAQIDZbXr16oXExETZsu3btyMqKqq6m0dERA9R8uU7GLZwH1Ku5sDT3QXLnu2OF/szr0L3Z3MPS35+Pi5cuCC9TktLQ0pKCry8vODl5YW5c+di1KhRCAgIwOXLl/Hmm2/Cx8cHTz75pLTPpEmT0LRpU8THxwMAXn75ZfTt2xfz58/H8OHDsWnTJuzYsQP79u2rglMkIiJHsOrwFczdfBolWgGt/TywdFIEgr0b2LtZVEPYXLAkJydjwIAB0mtDjmTy5MlYvHgxTp06heXLlyMnJwcBAQEYMGAA1q5dCw8PD2mf9PR0ODmVde5ERUVhzZo1ePvtt/HOO++gVatWWLt2LXr06PEg50ZERA5AU6rF3M2nsfp3Ma8SF+6Pfz7VCQ2UzKuQ9R5oHhZHwnlYiIgczy21mFc5ni7mVV6LaY0XecsyGbH2+s3yloiIqsXRK3cwbeUx3M7TwNPdBV+N7YL+rX3t3SyqoViwEBFRlfvhcDre3fwHSrQCwvwaYunESLTwYV6FKo8FCxERVRkxr/InVv+eDgCI7eCPT59mXoUeHP8LIiKiKpGpz6sc0+dVXo1ujem8ZZmqCAsWIiJ6YEev3MWLK48iU59X+dfYLhjAvApVIRYsRET0QFb/no7/28S8ClUvFixERFQpxaU6zP35NH44LOZVhrT3x6ejO6Eh8ypUDfhfFRER2SxTXYQXVx3D0St3oVAAfx8chhkDHmFehaoNCxYiIrLJsXQxr3JLrYGHuwv+9UxnDGxj/mG1RFWBBQsREVlt7ZF0vLPxNIq1Ojzi2xD/nhSJEOZV6CFgwUJERPdVXKrD+7+cxspDYl4lpr0fPhvdmXkVemj4XxoREVmUmVeE6SuPIVmfV5k9SMyrODkxr0IPDwsWIiIy63j6Xby48hgy1EXwULrgX2OZVyH7YMFCREQm/XjkKt7e+IeUV1k6MQItmzS0d7OojmLBQkREMsWlOnzwy59YcegKACC6nR8+G90JHu6udm4Z1WUsWIiISHI7T4Ppq47iyOW7AIBXBoXhpYHMq5D9sWAhIiIAQMrVHExbcVTKq3z5TGc81pZ5FXIMLFiIiAg/JuvzKqU6tGrSAEsnRaIV8yrkQFiwEBHVYSVaMa+y/KCYVxnU1g9fjGFehRwPCxYiojrqdp4GM1Ydw++X7wAAZg0Kxd8GhjKvQg6JBQsRUR104moOpq08ipu5RWiodMEXYzpjcDvmVchxsWAhIqpjfjp6DW9uOIXiUh1aNmmApRMj8Ygv8yrk2FiwEBHVESVaHT7acgbLDlwGAAxq64vPx3SGJ/MqVAOwYCEiqgOy8jWYvuoYfk8T8yovPxaKlx9jXoVqDhYsRES13Mlr4vwqN/R5lc9Hd0J0e397N4vIJixYiIhqsXVHr2GOIa/i0wBLJ0XgEV8PezeLyGYsWIiIaqHyeZXH2vjii2eYV6GaiwULEVEtk63PqxzW51X+NvARzBoUxrwK1WgsWIiIapFT13Lxwopk3MgtQgM3Z3w+pjNimFehWoAFCxFRLbH+2DXMWX8KmlIdQnwaYOnECIT6Ma9CtQMLFiKiGq5Eq8O8rWfw3f7LAICBbXzxxZjOUNVjXoVqDydbd9izZw+GDRuGwMBAKBQKbNy4UVpXUlKCN954A+Hh4WjQoAECAwMxadIk3Lhxw+Ixly1bBoVCUeGrqKjI5hMiIqpLsvM1mPjtYalYeWngI/jPpEgWK1Tr2FywFBQUoFOnTli4cGGFdYWFhTh27BjeeecdHDt2DOvXr0dqaiqeeOKJ+x7X09MTN2/elH25u7vb2jwiojrjj+u5eGLhfhy6dAcN3JyxZEJX/D26NcO1VCvZPCQUGxuL2NhYk+tUKhUSExNlyxYsWIDu3bsjPT0dzZs3N3tchUIBf38Gw4iIrLHx+HW8se4kNKU6tPCuj39PimRehWq1as+w5ObmQqFQoFGjRha3y8/PR3BwMLRaLTp37owPPvgAXbp0Mbu9RqOBRqORXqvV6qpqMhGRwyrV6hC/7Sy+3ZcGABjQugm+fKYLh4Co1rN5SMgWRUVF+Mc//oFx48bB09PT7HZt2rTBsmXLsHnzZqxevRru7u7o3bs3zp8/b3af+Ph4qFQq6SsoKKg6ToGIyGHcKSjGpP/+LhUrMwc8gv9M7sZiheoEhSAIQqV3ViiwYcMGjBgxosK6kpISPP3000hPT8fu3bstFizl6XQ6dO3aFX379sVXX31lchtTPSxBQUHIzc216b2IiGqCP67n4oUVR3E95x7quznj89GdMKRDgL2bRfTA1Go1VCrVfa/f1TIkVFJSgtGjRyMtLQ07d+60uYBwcnJCt27dLPawKJVKKJXKB20qEZHD25Qi5lWKSsS8ytJJkQhjXoXqmCovWAzFyvnz57Fr1y54e3vbfAxBEJCSkoLw8PCqbh4RUY1RqtXh421n8R/9EFD/1k3wrzFdoKrPISCqe2wuWPLz83HhwgXpdVpaGlJSUuDl5YXAwEA89dRTOHbsGH755RdotVpkZGQAALy8vODm5gYAmDRpEpo2bYr4+HgAwHvvvYeePXsiNDQUarUaX331FVJSUrBo0aKqOEciohrnTkExXlp9DPsvZAMApvdvhb9Ht4Yzb1mmOsrmgiU5ORkDBgyQXs+ePRsAMHnyZMydOxebN28GAHTu3Fm2365du9C/f38AQHp6OpycyvK+OTk5mDp1KjIyMqBSqdClSxfs2bMH3bt3t7V5REQ13ukbYl7l2l0xr/Lp050QF868CtVtDxS6dSTWhnaIiByZcV4l2Ls+lk6MRGt/5lWo9rJr6JaIiGxTqtVh/q9n8e+9Yl6lb1gTLHiGeRUiAxYsRER2dregGC+tPo59F7IAAC/2b4VXmVchkmHBQkRkR3/eUGPqimRcu3sP9VzFvMrQjsyrEJXHgoWIyE42n7iB1386gaISHZp71cfSSRFo488MHpEpLFiIiB4yrU7AJ7+exTd7LgEA+oT6YMHYLmhU383OLSNyXCxYiIgeopxCMa+y97yYV5nWrxVei2Feheh+WLAQET0kZ26KeZWrd8S8yj+f7ojHOwbau1lENQILFiKih+CXkzfw2v9O4l6JFkFe9bB0YiTaBjCvQmQtFixERNVIqxPwScJZfJPEvArRg2DBQkRUTcrnVV7o2xKvxbSGi7PTffYkovJYsBARVYOzGWpMXX4U6XcK4e7qhE+e6oQnOjGvQlRZLFiIiKqYcV6lWWMxr9IukHkVogfBgoWIqIpodQL+mXAOS5IuAgAefUTMqzRuwLwK0YNiwUJEVAVyCovxtzUp2JN6GwAwtW9LvM68ClGVYcFCRPSAyudV5o/qiOGdm9q7WUS1CgsWIqIHsPXUTbz6vxMoLBbzKt9MjED7QJW9m0VU67BgISKqBK1OwGfbz+Hr3WJepfcj3lgwtiu8mFchqhYsWIiIbJRbWIKX1x7H7nNiXuX5PiF4Y0gb5lWIqhELFiIiG5zLyMPUFcm4ks28CtHDxIKFiMhK207dxN/1eZWmjcS8SoemzKsQPQwsWIiI7kOrE/B54jks2iXmVaJaeWPhOOZViB4mFixERBbk3ivBy2vK8irPPRqCObHMqxA9bCxYiIjMSL2Vh6nLk3E5uxBKFzGvMqIL8ypE9sCChYjIhF//uIm//3gCBcyrEDkEFixEREZ0OgFf7EjFgp0XAAC9Wnpj4bgu8G6otHPLiOo2FixERHq590owa81x7NLnVf7SOwRvxjGvQuQIWLAQEQE4fysPU1ccRVpWAZQuTogfGY6RXZvZu1lEpMeChYjqvITTGZi9NgUFxVoEqtyxdFIk8ypEDoYFCxHVWTqdgC93pOIrfV6lZ0svLBrXlXkVIgfEgoWI6iR1UQleWZOC385mAgCe7d0Cb8a1hSvzKkQOiQULEdU5FzLzMHX5UVzKKoCbixM+Zl6FyOHZ/KfEnj17MGzYMAQGBkKhUGDjxo2y9YIgYO7cuQgMDES9evXQv39/nD59+r7HXbduHdq1awelUol27dphw4YNtjaNiOi+tp/OwIhFB3ApqwCBKnesmxbFYoWoBrC5YCkoKECnTp2wcOFCk+s/+eQTfP7551i4cCGOHDkCf39/DB48GHl5eWaPefDgQYwZMwYTJ07EiRMnMHHiRIwePRqHDx+2tXlERCbpdAI+T0zF1BVHka8pRY8QL2x+6VGEN2O4lqgmUAiCIFR6Z4UCGzZswIgRIwCIvSuBgYGYNWsW3njjDQCARqOBn58f5s+fjxdeeMHkccaMGQO1Wo1t27ZJy4YMGYLGjRtj9erVVrVFrVZDpVIhNzcXnp6elT0lIqqF1EUlmL02BTvOiHmVKVEt8NZQ5lWIHIG11+8q/W1NS0tDRkYGoqOjpWVKpRL9+vXDgQMHzO538OBB2T4AEBMTY3EfjUYDtVot+yIiKu9CZj5GLNqPHWcy4ebihE+f7oS5T7RnsUJUw1Tpb2xGRgYAwM/PT7bcz89PWmduP1v3iY+Ph0qlkr6CgoIeoOVEVBsl/nkLIxbtx6XbBQhQueN/L/TCUxHMqxDVRNXyJ4ZCoZC9FgShwrIH3WfOnDnIzc2Vvq5evVr5BhNRrWKYX+X55cnI15Sie4gXNs98FJ2CGtm7aURUSVV6W7O/vz8AscckICBAWp6ZmVmhB6X8fuV7U+63j1KphFLJyZ2ISC6vqASvrD2BHWduAQAm9wrG24+34xAQUQ1Xpb/BISEh8Pf3R2JiorSsuLgYSUlJiIqKMrtfr169ZPsAwPbt2y3uQ0RU3sXbhrzKLbi5OOGfT3XEe8M7sFghqgVs7mHJz8/HhQsXpNdpaWlISUmBl5cXmjdvjlmzZmHevHkIDQ1FaGgo5s2bh/r162PcuHHSPpMmTULTpk0RHx8PAHj55ZfRt29fzJ8/H8OHD8emTZuwY8cO7Nu3rwpOkYjqgh1/3sIra1OQpymFv6c7vpkYwSEgolrE5oIlOTkZAwYMkF7Pnj0bADB58mQsW7YMr7/+Ou7du4fp06fj7t276NGjB7Zv3w4PDw9pn/T0dDg5lf3FExUVhTVr1uDtt9/GO++8g1atWmHt2rXo0aPHg5wbEdUBOp2ABTsv4IsdqQCA7i28sGh8VzTx4JAxUW3yQPOwOBLOw0JU9+QVleDvP57A9j/FvMqkXsF4e2g7uLlwCIioprD2+s1nCRFRjXTxdj6mLk/GxdsFcHN2wocjOmB0N05vQFRbsWAhohrntzO3MGtNWV5lycQIdGZehahWY8FCRDWGTidg4S4xryIIQLcWjbFofFf4erjbu2lEVM1YsBBRjZCvKcXstSlSXmVCz+b4v8fbM69CVEewYCEih3fpdj6mrjiKC5n5cHN2wgcj2mNMt+b2bhYRPUQsWIjIoe08ewsvr0lBXlEp/DyVWDwhAl2bN7Z3s4joIWPBQkQOSRAELNp1AZ8linmVyODG+HoC8ypEdRULFiJyOPmaUrz64wn8elp8xtj4Hs3x7jDmVYjqMhYsRORQ0rIKMHV5Ms7r8yrvD2+PZ7ozr0JU17FgISKHsetcJv62+jjyikrh66HEkonMqxCRiAULEdmdIAj4evdFfLr9HAQBiAhujMXju8LXk3kVIhKxYCEiuyrQlOLV/53Atj/EvMq4Hs0xl3kVIiqHBQsR2c3lrAJMXZGM1Fv5cHVW4L0nOmBcD+ZViKgiFixEZBe79XkVtT6vsnhCBCKCmVchItNYsBDRQ1U+r9K1eSMsnhABP+ZViMgCFixE9NAUaErx2k8nsPWUmFcZ2z0Ic59oD6WLs51bRkSOjgULET0UV7ILMHX5UZy7lQdXZwXmPtEe43sE27tZRFRDsGAhomqXlHobL/1wDOqiUjTxUGLx+K6IbOFl72YRUQ3CgoWIqo0gCFiSdAn/TDgLnQB0ad4IS5hXIaJKYMFCRNWiQFOK1386iS2nbgIAnukWhPeGM69CRJXDgoWIqlx6diGmrkjG2Qwxr/LusPYY36M5FAqFvZtGRDUUCxYiqlJ7Um/jpdXHkXuvBD4NlVgygXkVInpwLFiIqEoIgoBv9lzCJ7+KeZXOQWJexV/FvAoRPTgWLET0wAqLxbzKLyfFvMroyGb4YEQH5lWIqMqwYCGiB2KcV3FxUuDdYe0woWcw8ypEVKVYsBBRpe09L+ZVcgrFvMriCV3RjXkVIqoGLFiIyGaCIGDpnkuYr8+rdApqhCUTuiJAVc/eTSOiWooFCxHZpLC4FG+sO4WfT9wAADwdIeZV3F2ZVyGi6sOChYisdvVOIaauOIozN9VwcVLg/4a1w0TmVYjoIWDBQkRW2Xc+CzNXH9PnVdywaFxX9Gjpbe9mEVEdwYKFiCwSBAH/2ZuG+G1nxLxKMxUWT4hAYCPmVYjo4XGq6gO2aNECCoWiwteMGTNMbr97926T2589e7aqm0ZENrpXrMXLa1Lw0VaxWHkqohnWvtCLxQoRPXRV3sNy5MgRaLVa6fUff/yBwYMH4+mnn7a437lz5+Dp6Sm9btKkSVU3jYhscPVOIV5YcRR/6vMq7zzeDpN6Ma9CRPZR5QVL+ULj448/RqtWrdCvXz+L+/n6+qJRo0ZV3RwiqoT9F7Iw84djuFtYAu8Gbvh6PPMqRGRfVT4kZKy4uBgrV67EX/7yl/v+VdalSxcEBATgsccew65du+57bI1GA7VaLfsiogcj5lUuYeK3h3G3sAQdm6nw80uPslghIrur1oJl48aNyMnJwZQpU8xuExAQgKVLl2LdunVYv349Wrdujcceewx79uyxeOz4+HioVCrpKygoqIpbT1S33CvW4pW1Kfhwi5hXGdW1GX5kXoWIHIRCEAShug4eExMDNzc3/PzzzzbtN2zYMCgUCmzevNnsNhqNBhqNRnqtVqsRFBSE3NxcWRaGiO7v2t1CTF0u5lWcnRR4e2hbTIlqwbwKEVU7tVoNlUp13+t3td3WfOXKFezYsQPr16+3ed+ePXti5cqVFrdRKpVQKpWVbR4R6R24kIUZRnmVReO7oieHgIjIwVRbwfLdd9/B19cXQ4cOtXnf48ePIyAgoBpaRUQGgiDg231piN92FlqdgPCmKiyZGIGmHAIiIgdULQWLTqfDd999h8mTJ8PFRf4Wc+bMwfXr17F8+XIAwJdffokWLVqgffv2Ukh33bp1WLduXXU0jYgAFJVo8Y91J7ExRXwe0MguTTFvZDifB0REDqtaCpYdO3YgPT0df/nLXyqsu3nzJtLT06XXxcXFePXVV3H9+nXUq1cP7du3x5YtWxAXF1cdTSOq867dFedXOX1DzKu8FdcWz/ZmXoWIHFu1hm4fJmtDO0R12YGLWZj5w3HcKSiGVwM3LBzXBVGtfOzdLCKqw+weuiUixyEIAr7bfxkfbT0DrU5A+0BPfDMxAs0a17d304iIrMKChaiWKyrR4s31p7D++HUAwJNdmiKeeRUiqmFYsBDVYtdz7mHaiqM4dT0Xzk4KvBnXFn9hXoWIaiAWLES11MGL2Zj5wzFkFxSjcX1XLBrflXkVIqqxWLAQ1TKCIGDZgcv4cAvzKkRUe7BgIapFikq0eHPDKaw/JuZVRnQORPzIjqjnxrwKEdVsLFiIaokbOffwgj6v4qQA3oxri+ceDWFehYhqBRYsRLXAoUvZmLHKKK8yriuiHmFehYhqDxYsRA8oNTUVFy9exCOPPILQ0NCHekxBEPC9Pq9SqhPQLkDMqwR5Ma9CRLULCxaiSrpz5w4mThiHrdsSpGVxsTFYuWo1GjduXO3HLCrR4tlFCTiYIU5W/USnQMwfZT6vUh2FFRHRw+Jk7wYQ1VQTJ4zDoX07sHI6kP4VsHI6cGjfDkwYP9bk9gkJCXj//feRmJho9piDBz2GhIQE2bKEhAQMHjRQtuzgibMIm/Y1DmYIEHRa3Nn5LX6cNRgZ19NR3p07dzA0bghat26NuLg4hIWFYWjcENy9e9dkG1JTU7Ft2zacP3/+fj8Cm7YlInoQfJYQUSWkpqaidevWWDkd8PEADl8AeoUCt3KBiYvF9YZejIsXL6J3VA/cysyW9vfz9cbBQ0cQEhIiO2bbNq3h6gxoSsveS+kClGiBs+fEYx6+lI2nvvgVzg0aQXtPjaxN81F05QScnQAXFxcUaUpkbe3eLRLHjh2FVle2zNkJiIyMxKHDR6RltvTuVEfvEhHVTdZev1mwEFXCtm3bEBcXhyYewO28suWG11u3bkVsbCwAQOXZEJp7BRWKEGX9BsjNzZeWPfnkk9i4cSNcnIBSo+LC8HrEk0/iydc+x9zNp6ETAO3tS3i93kcY0foW9pwFZnwH5BUBvyZsx+DBgwGUFUEe7sCiZ4G+bSDb1lAEAUD79m1x7uzZCoVN27btcOqP07LzHzxoIPbu2QXj2kjpCvTtNxDbE397wJ8uEdUl1l6/OSREdYo1wzLWaNWqFZwUQHEpZENCxaWAkwJ45JFHpPfLzy9AfSXwz3HA99OAT8cB9ZVAfl6BrB0///wzAKD8XxACADi7Yp8mGP+3SSxWCv5Mwvvur+GlqFsI8gbG9wYWTgF0AjB8+HBp348++gg6QSxWxvdGhW0/+ugjAGJhc+7sWTRUys+noRI4c+ZP2ZBPamoqdu7chfpu8m3ruwG//baTw0NEVC0YuqU6wdphGWulpaXJCgFA/C4I4pDQ5cuXERoailmzZkEnAME+wGs/lO3fORhIuQK8/PLL+PPPPwEAWq0Wzk5ikWDcGzLzf96oN+RNuAW2hpMCyN75LdS/b8Cgr+Rt6tdW/H7v3j1p2ZYtWwCIxzK1rWH9lClToNWZP59nn30W+/btAwAkJSVBJwALJpveNikpiaFeIqpy7GGhOqF3VA8U5WXLejmK8rLRq2c3k9vfL0y6atUqAOYLgZUrVwIALl26BCcFkJ4l741IzxJ7Yi5evCjb37hoCPIGQju3R+CUL+EW2Brae2p8/5fuUP++AYBYzBhLOlOxndnZ2Ra3zcrKAgCcOHHC4vmkpKRUOLa5bYmIqgN7WKjWS0hIwK3MbHQONtXLkY3ExEQp82FtmFStVgMQC4FuLYGLt4BH/MXwrfF6rVYLnQB8ZaY3QqvVVmhv3zbi+pXZcXjvxlSUOrmgODMNt9d/iD7/ygAgFjt/+17crl9bsQB5ebm4XFduTMmabZVKJQoLC7HnbFk7gbLCxs3NTVrWr18/6dxNbWtYT0RUlViwUK13+PBhWS+HYajlb9+LF+2DBw9KBYvxrcrSdivEW5W3bP1VOmZBQQEUAJ5bWvGOHgWAwsJCAOJdO1qt1mxvhItLxV/B3866ItHjRexHNAAgvGQPtqz8F4QSjbSNTgCa+4hFj0HnYODOlYrnb822YWFhSD5yGDO+kxc2M5eJwdvWrVvLth08aCBmLtsFQRCkbV/6XoHBgwZwOIiIqgULFqr1mjZtarGXo3nz5gDEYaCt2xKwcrrYa/LHVaB7K+BfE7SYuDgB58+fly7GUg9KufcyvM7NzQUANGnSBNeuXTPbE+Pr6yvb36WhN+bkvQmlR2sIOi1ykpbjl+R1UOhkm8HZCUjLBP45FvBVAZm5wIcbxeXGd/koFAooIOBKlnzbeZvFYk2A+Jyh559/Hr8fPowCjbywcXECdDrghRdekL3/2h9/woTxYzFxsXFPVDRWrlp9n0+DiKhyWLCQw6qqmVkDAwMBiD0mqTfLigZDL4efnx+AsjzJv3cDE74u279fO/H7hQsXpHZERUXh9yO/Q+cK4AkAwQCuALptgKAFHn30UQBAgwYN4KQApnwDlBpVNy7OYsHQoEEDaZmyaTs0GTEHzg0bQ3svD1mbP0HR5eOAs/zOIVdXV5SUlKBAA7xmVB+46IsVV1dXaZmvry8yb91CYbltlS5iwebnL577c889h+kvToVOW64yAuDq6oQpU6bIljVu3Bhbtv6K8+fP48KFC5w9l4iqHQsWcjh37tzBuAnjkGCUI4mJjcHqSk5K1qpVKwDA0E+BU0YTwYaLHSvSLcitWrUCFMDeNACDATQAUAjs3QvA6FZlAPD29gYEQBcLIBBAJoCmgG4IgA2Q2unl5QUdAJ0LgOGQCpvSLQCKxfWCIGDV4XT4jZ0HhbMLim+n4fa6D1Gae0t2HoanLnt6eiI7Oxul5bIqhtcqlUpa9tFHH+H5v/7V7M8mPj5e+vf2xJ0Y+NgAGJdHOoUCv+3YZXb/0NBQFipE9FCwYCGHM27COOzYswMYCekCvyNhB8aOH4tfjXIkNlEAp25BdsxTW8TlMgKgUwEwmqZF5wfgnnyz1NRU8R/HAaw3WhEiX9+gQQPx+j8UQEf9Nh3F98EGoL6HCnPWn8KaI1ehcHZBwZk9yN7+LwhFGpRnmOPR09MT2XeyATcAfSEVVkgCUAzZxEt9+vSBAEBTbuzK8Lp377LUbPz8eCjcnYAYrfQzUiQ4Yd7H89C3b98K7SEiephYsNBDdb9hntTUVLFnZSRkF3itoEXCBnmOxFpJSUkWiwbDvCEXL14UC5gcyAobbAWgkA8JKRQKcdubkPXGYI+4raE3JDMzU3y/YABZAO4C8ALQAnBu6I1LLYbh/JGrUCiAO7u+g/rwOsD0swslCoVCbHtjyAor+AG4VfbeAMrOSQkgrtw5acrOqTp+7kREVYkFCz0U1g7zSPOSBJc7QAvxm3HRYK3Tp09bPKZh4jYnJyexEIiDycLG+I6e69evi8sbwWTRcO3aNQBAy5YtcfLkSWA1gIyyzZThbeEzeQ60Db3g6e6CBeO6ov/Hj4vFhStkw0fYCkAHaaRGEISywspEsWT8tA1rz6k6fu5ERFWJBQs9FNYO8xjyJrgCMRti6JEQr/+yHIm1DJOn4QrKLtoAcFm+Pj1dH3Axc9G+cqXsPuCCggKLvTGG25rj4uKwcdNG8Tz02zW8OwRePi9A4eyKJm4l+Oml/gj2bgCFQiEWG2aKCycncZ7HwsJCi8WS4b0BQKfTWTyn0lLxnmzZz93Ez6gyP3cioqrEmW6p2hmGG7QxWvFiqII43BCtRcK2BNlssmFhYWjs3RjYBGAhgFUAFgDYDDT2blypv/K9vb3F4mIbgBMAcvXffwWg0K+HUU9M+blMLkO+Xt9OqefCKHSLWACCfj2MejiGAgh3gVe9mfD2mwmFsysKzu7DX1vkINhbvFOoadOm4sHNFBeG9YWFheL55EIsgl7Rf1eL51NQUCDtKitETJyToRAJCwtDTGwMnBOcZT8j5+3OiImNYe8KEdkde1io2tky3JCamoq72XdN5jjuZt+tVJaiffv2YtGgArDBaIU+TNuunXjfsk6nKytsBH37LkMqbKTeCpTNs2IudJuXJz7C2TDlvXOwF3yK58Bd1xYCdMgpXQ71pp/wZ/DfAEwBYHSLs5lejoYNG4rHctbf5xyL+w5dGQqRHQk7oBW00jk5b3fGoNhBsp/l6lWrMXb8WCRsKBu2GxQ7CKs5twoROQAWLFQlLIVpbRluSEpKspjjqMyD9fr16yce8y6AKIgXdgWAo+J3w1TyQ4cOxYIFC8wWNo8//ri06MwZ/Tz0RrdJG7825GJ8fX2hbNoGPk5vwkXnBa0uH1nFn6Ao/Zi03kAaZtoCecGkH2bKz88HALi7u4s7mCkAlUqlbPHXC79G957dkb2h7MGPjZo0wuJFi2XbNW7cGL9ybhUiclAsWOiBWBOmteWv/Fu3blkMid66JZ+bxGoCgGIAB4yWKSCbkS0mJgYubi4ovVtaFmYtALAHcHFzkabvB4yGmVwADIT81mJd2TwsDTrGwG9sByicXVF8+wpur/8QpTk3pR6k0aNHS8csKSkpa6dxwaRvZ3FxMQCgfv364nIzBaC0Xu+vU/+K7LvZsmXZd7Px16l/xW+Jv1X8URmFdomIHAUzLHXQ/Z5EbIunRj+FhMQE2bKExAQ8Nfop2bLVq1ZjUN9B4oX4CwAbgEF9LQw3mOk9MCUhIQHvv/8+EhMTTa6XhqTK/9euf33hgjhPfmpqKkqLS4FSiGHWjfrvpUBpcans5xUaGiq/tXgjgO0Qg7ACENq6LeasP4V/HcgU8yqp+5Gx4u9isWKGq6urWJy4AYgGMEL/3Q2AouwBhB06dCjridkHIAXAfkg9MR07llUxqamp2LVzl1ggGeddnIGdv+2UndOdO3cwJG4IWrdujbi4OISFhWFI3BDcvXvXbJuJiB4W9rDUIVU9g6x0MXSDbHp6bCm7GBp6T6wdbjBMk2+u90BaD7EQ6dGrB7Jvl/UeeDfxxpHDRxASEiIt2759e1lviPEw0xYAOuC3335DbGysOBxlgfFw1MmTJ+XBV8MxtwHODRtjvzISpb+nA4KAu3uXQ338f8AwVBji+vrrr/HFF18A0Bck5eeLAcTemw1lBUvjxo3LhrV2GG2nBCCIs+cat9maOWgA4OnRT2PX/l2y89m+dTueGv2UyZ4YoOoen0BEdD9V3sMyd+5c8YFrRl/+/v4W90lKSkJERATc3d3RsmVLLFmypKqbRSh3a7H+L+0de8Rbi025X89FhYuh/u4fxAEQYLIACA0NRWxsrNmLm5Q32QL5HT363gND3gSAmMtQZ8vOJ1udjcjukbJj/vrrrxbbuWXLlrKNDYXNYJT1cLigwoy4ly9flgdf9cd0G9EG/pO+RGmj5vBwd0H95O+hPvg/s3cT7d69WzqmdDuymd4lw90/Z8+eFReUlNtO/9Ro47uZZHPQZAE4DyAbFeagSU1Nxc7fdkKIE2TnI8QK2LljZ4XeOPbGENHDVi09LO3bt8eOHWV/+jk7m5+6My0tDXFxcXj++eexcuVK7N+/H9OnT0eTJk0watSo6mhenWTLTKbW9lxIeRIzF9jK5E3S0tLKhlrKB19viYVCaGgoEhIScCfrjng+xoVAHHBnwx0kJiZKmRNDWPV+hcCff/5pcQZZqVCA6eKiYWk0vIJehELhipLsdGyOn4Sob6aIK83cTZSRUTabnHQ7spneJcN6jUZjMZhsyLoARnPQlJu4Dn7y9VJxaeZnVD7sXC2PTyAisqBaChYXF5f79qoYLFmyBM2bN8eXX34JAGjbti2Sk5Px6aefsmCpQrbcWtyjV4+yngv9xSh7Sza69eiGrMwsaVfZ8I2JSd6Mh2+sJfV2jIXYY3BHf0wXAF8Av/zyCwYPHly2nZlCwLAdUHY78P1uF16zZo3FyeBWrVqFTz/9FEDZhGu4AnF+lZKp8NDGifOgnNuPnF8XIOTfL4pBWsMU/iaOWVJS1k0iTfdv5i4hw5T7165dsxhMvnr1qnRMKRxsNHGdNBymKBs+kopLMz8j4+KT0/gTkT1US8Fy/vx5BAYGQqlUokePHpg3bx5atmxpctuDBw8iOjpatiwmJgbffvstSkpKxCCiCRqNRvxLU0+tVlfdCdRC1t5anJCQIPaslLsYQQCyN2TLei6k4ZlNAIwfrqfvUDMevrGWdLE1FEHl2mlY7+vra/FZPsa3Czdu3NhiIWDI72RlZVksBLKyyoo1Jycn6AQdnHc3hk+zOXCv1w6CoEPOwZVQ7/sRri7if7cqlUrsxTBzzEaNGknHlO4SUkDeu6TPphiKJGt7jADAx8fHYobFx8cHgL64tDAHTfnskKX35zT+RFQdqrxg6dGjB5YvX46wsDDcunULH374IaKionD69GlpRlFjGRkZFf4S9/PzQ2lpKbKyshAQEGDyfeLj4/Hee+9VdfNrLWtvLT58+LC4g5mL0cGDB6WCJSwsDF4+XriTd6dCmNWrsVelLlparb7yMVMEGdYHBARYnJ5emjUWQL169cRtSyEvBJwBCGW3AUu385o59/K3+7oFtEaTUW/CpZ43dEX5yPr5U9wTkgGhbFsPDw+Lx5R6f2A0MV0AgDSjbQPF14Zz9/HxEXtZzBSfhiJE5j53XfXr18/i5HrGxSen8Scie6jy0G1sbCxGjRqF8PBwDBo0SOq6//77783uY/x0WaDsf/bllxubM2cOcnNzpS/jbnAyzZpbi3v06CH+w8xU7r169ZIWpaamijkSE2HWO1l3KnXb9PDhwy0GX5988kkA+ocPWpieXnouEIz+OxoOYAKA/gAmQryzCSaKCzPn7unpKS1ybzcQ/mM/hkt9bxTr0nEzZzbuDU0GOovrDcWF1Ato5pjGeZOQkBD58JHhnG6K52TopYyMjLQYTI6MLAsdy4btTLy/YX1YWBgGDhoIRY6i7Oc+GFDkKjBw0EBZ8clp/InIHqr9tuYGDRogPDzc7MXL399fFjwEgMzMTLi4uJjskTFQKpUVZvQky6y5tTgmJgbeTbyRvSW7wvCJdxNv2eRp1TE00KxZM4vBV0PPSdOmTS1OT9+8eXNpV6kX4zjkPRch8vX9+/cXH1S4FfJz3wZAAQwcOBDFpTq8/8tpeMf+DQBQeOEAsvK+gFD/HnAD4rwoRnOmSAFZM0MtxsOaQ4YMEYO9ZoaP4uLiAOgLKwHiXULGvSFO4rZS4QX9z0EBs+cUHFz24f3040/i1PxGt71Hx0abnCuH0/gT0cNW7QWLRqPBmTNn0KdPH5Pre/XqhZ9//lm2bPv27YiMjDSbX6EHExoaarGQOHL4CLr16Cabyt1wl5Cx6hgaOHz4sMXgq2FIKjBQH3AxUywZDzNGRkZi0+ZNZoOv3bp1AwB06dIFGzdurFgI6IeOHgnvivH/OYQjl+8Cgg45e1ch9/iPQJHRUJE+b2LoDWnZsqV455OZoRbjbJeUkbnPXVdSj9EIiNmdqwCCAOSL72HcM6nT6cRCJaDc+4cASDMKD8O2qfk5jT8RPWxVPiT06quvIikpCWlpaTh8+DCeeuopqNVqTJ48GYA4lDNp0iRp+2nTpuHKlSuYPXs2zpw5g//+97/49ttv8eqrr1Z108hKKpVKNqwAiBd944AoULmhgfvNsiv1nBh6GQzDTPp5Sww9J05O+v90zQx1GD8AUMq7mDmmrNcGAJqUO6YP4BYQhi0lHXDk8l14KF3Q/s4+5B5aCwiCfPgGkBVBr732WtldOkZDLcgRt3v99delt2nTpo3Fc2rfvj2AclmbVhCHuFrBZNZGKiq7AHgJwHj9987iYlNF5f3myqnstkRED6LKC5Zr165h7NixaN26NUaOHAk3NzccOnRI6nq+efOmLF8QEhKCrVu3Yvfu3ejcuTM++OADfPXVV7yl2Y5smWDO2in3rZ1o7OZN/dT1ZnoZrl+/DsDoycpmchzGPQeGJyabO+bx48cBoKzX5rZ8swb+g+E/bj7ySp3xiG9DbJrZG6ENNBYnozPcLhwTEyMOORVDPt1/sTgUZTzEJt35ZOacDGHasLAwcQczhY20HuWKymsAfAFce7CikojIHqp8SGjNmjUW1y9btqzCsn79+uHYsWNV3RQyw9J06rbOsWHt0IC1E41lZmaK/zAzzGRYf+PGDYsTzBnPGyLd4mzmmIb1rVq1KjeFvwu8Cv8Kj0biU5p7BzfAkmej4OHuioQEfXbDTBG0fft2aVF4x3AcTD4I9ANQH9JDEsM7hst23bdvn8Vz2rdvH/76179i9OjReOf/3jGbSzF+oCJg/dOaq/rRDUREVYnPEnJwVfmsFmsuSJUN0lrKxdhSBHXq1MliSLRLly4AjHpNzEwwd/z4cUyZMgWAfnjGwjws3bt3B2A0y+5QwCm8EZoUz4G7mzgMk7N3JSYNfBYe7mKuSjZfjIki6MqVK9K5H9x/sGxG3rsQ8yYNgIMbDsrO/dq1axbPybA+LCwMnp6eUOerK2RtPD09K3wO02dOR05hjni3lb5gytmfgxdnvCgrFjl7LRE5Mj6t2UFVx7NarBnqkQVpjV0Wv5kL0lp67pA1RZCBFBI1BF/1w0wogWzyNFmGxRtAqP67vp3SeuNjlpY7Zqn8mIY5aNxahCGg6Eu469pDhwJklryP3ANrcPjQIemY0kRrWyEfvtEXVoaZnqUp748DWAhgFYAFEJ+wDPnzlsLDwy2ek2F9amoq1Llqk1kbda5aNpRjKBa1MVogCmJ2JQrQRmuRsC1B2la2ndEQV/ntiIjshQWLg7L1QYX3Y+0FKSwsDAMfGwjFVoXsQqzYVnE+DkAsRnx8fTBkyBC8++67iI6Oho+vj9hboWdLESQN5Zi4GBuvb9++fdntwvsgFgD7Id0ubAioAsDatWvFfwyHPHiqn4flp59+AiCGbhuED4K/88dwgQ9KFFdxUzkb99J+ByC/Vbp3794WC6vevXuXtdfC3CrGQ1fTp0+3mGGZPn06AODHH38UdxgL+bwy4yBfj3LFoomHHxqKRVuKSiIie+CQkAOqjme12DTUowCEUkE23CC4CDDFmucOWTvLLmDUc5GDsin3CwDshWyK+ObNm4sFgwCg7Dmb0m3FxvOLHDL0jARDLNQM0/vo/+vfv38/SrQ67C3wh0/cLABAYf4hZLl9BuHcPalgML5V2hCqRfkfiyBfb8t0/9L+ZmbkNZByPmYeaCith1GxaGZbQ7HI2WuJyNGxh8UBVcdfu9b2cqSmpmLnjp1i74Nxb8QwYOeOnbKhAem5QybulMm+nS0bHrL2biJpivgSyO+q0fdcGKaIl6axL4Gc/uYg47uE2rZta/HcwzpGYPy/D2P3DfF1Tsoq3F70EYQv7ontbSS+t/Gt0lIPjyvkPSeukPXwSO0081lK66H/3BUA3CDmTUbov7uJxzR87kOHDpU/0NDw3jnido8//rh0zLCwMHg38Ta5rXcTb6lY5Oy1ROToWLA4oMrmSCyx9oIkK5aMew9aiN+MiyXZc4dMDDccPHhQ2vbOnTtITk6WtSk5ORk5OTkV2umh8gB0kNMBnqqyQOmNGzcsFgzGQy3Tpk0zO9TiFhCKq23H4ffLd+AKLTLXvY/c1NXykxcfNYTff/9dWiT18Ji5rdnQwzN06FBxBzOfpXFx4eTkVDZ7r1HeBEMgK5hCQkIsvneLFi2kY6amplosKo0LUGuLSiIie+CQkAOyZQjFFtbc3mrtEAJg9NwhM9saP3fImqEjQLzA5qnzxF6FoZA9UFGtVkvDYbt377Y41LJr1y7pLqH09HSTtws3iBoI714zcVcDtGzSAMHpCVh28XdxWMnEjLjGQy3SXEJmek4MdwkBsHjXk7H79cYYeo1sGd6zZVvOXktEjow9LA6qOv7ald3eOgJANJBTKN7eamDtEAIgTormqnQ1ua2r0lWaFM2WoaMff/zRYu+BIVAqTT9v5kJsUj39dydnNH5sKnz6zIbCxQ2h9YuwcUZvPNrxEYsz4hpuqQaMenDM9JwY1h8+fFg+Nb4hnBsgHtO4F8ranjVbZvmtTG8dZ68lIkfEgsVBGf7aTU1NxdatW5Gamopft/5a6Qm8bLm91dohhNTUVJRoSsRtAwFkAmgqbluiKZG2lQ0dGWshfjO+aKemplrc1rB+/Pjx4gIzF+IJEyZIi6QHAN4EnGJV8JvxITwjxVuEcvb/gFd7esDT3dXqHg4A4rlZuK3ZcO5SL5SZqfGNe6GsHbZLT0+3+N7GvTvMphBRbcGCxcEZPxfmQVgb5LUl8Ctta2aOEcO20kXbTHFR/qJtaVvD+piYGDTyamQyl9LIq5FsyvsjR44AAuDWshUCWnwB9/rh0GkKkfnbB8jd9wOSj8gf6mjuvY1dvXrVYs+JYZI3qRdqC2RT42OrvBfKwOqeNQvvXR6zKURUGzDD4qCqepp0a29bteX2VmkqezNPQTZsGxISYnGmWeOQqLWz0gLAseRjVj1VOjMzEw06DIR3zEwoXNxQIlxD5s0PUXr6miyb0q9fP4vvbbhDCQCCgoLEf3QB8DjKZqW9BiCtbL3UC+UO+a3KyrJeKFOPOti+fTsOHTqEXr16VShqpHaYeW/jdhofk9kUIqrJWLA4qKqeJl0W5FVrgYYACgDnA/Igry2BX2kqezPB18uXLyM0NFTsiREgzidifNGuL25rHPw09IaYe57O77//Ll3AQ0JCkJWZhcTERBw8eNDkxb1Eq8NFVVf4DI0BABQ6/Y4st08htC0UH0i4Qf80Z+PzMfPehvMBxJyHNCwTiwphWkOxJvVCvQjxTqqrEKfm9wHwRcVHHVhTqIaFhWHgoIHYtXUXhFhBem/FNgUGDBpgthix9PgEIiJHx4LFAVXHxHGA0V1COyw/BG/1qtUYO34sEjaUXTQHxVYcQrAmmzJ48OCyXpshECeCM1y08wFskPfaSHfijIX41ORrkF3gje/UMRg8eHCFQgUAsvM1mL7qGE6XiNPm5mhXI9f9B0AhyNpZXFwsPx8zz/IxnA+gn0TOMF+MiUneDJPM3bihn9zlCsScjw7ivC6XxcXGt18D1heqP/34U4XPKDo2msM8RFRrsWBxQJV9AOH9SHcJGV0McxIqPgTP2iGEpk2biv8wM3xkmMpe1msTrRWHMi6b7rUZOnQoFixYYPZWaeN5Syw5dS0XL6xIxo3cIrgpdLi2bh7uhR+y2M4K52OYEfeEfDvAaNjFxHwxxuuvX78uLtgEQGu0nbP4Tbo9GuUKVaMQsza6YqHKYR4iqmtYsDig6pgmvTK9NvcL/AYGBpY9z8c486F/no/xVPbW9trExMTARemC0rul8lzMFsBF6WKyJyUhIQGHDx+WhoTWH7uGOetPQVOqQ4hPA0xsUYjn5h8C0mEym2Jopy3nI3GCvBAp97pp06biMV0gPsvI6HygkxdBshDzeqNjhojfTBWqHOYhorqCBYsDqo6J42zptbE28NuqVSvxwq5CxczHPXlhZW2PQGpqKko1pRUKKwhA6YZSWWF18eJFcUK62/ohLoUTAuJmwK2DmFcZ2MYXX4zpjFtX0yw+o0cWOLbyfD766KOymXaNC5GtAHTi+mXLlpU9Kdpwm7jR+WCD/FZpa0PMRER1EW9rdlBVfSuqLROIPTX6KSQkJsg2S0hMwFOjn5Itk+b4yHMWH1Q4AsBgwDnf/Bwf95uUzJbbqo1nz3V6xRN+Mz+UipWXBj6C/0yKhKqeK8LCwuDiZro2d3FzkQWO+/TtI2ZnjGUBffr1kbX5+PHjFieZS0lJAWCUUTFzPuUzLNIxjee10R+TiKguY8HioKp64jhrJxBLTU3Frp27xL4349lrXYCdv8kffggYFVZGDyp8kMLK2llcjWfPdevQCgHKL+FevyN0ukJkbvgIHRXpcHJSSNuWlpSafO5QaUmpbKbdEydPmDz3EydOyJrTsGFD8R9mChHDemkYycz5GA8zWTuvDRFRXcSCxcFV5TTp1vTaJCUlWew5SEpKkh3TUFglJCTgvffew/bt2x+osNLpdGU5EuMJ4fQ5EsMQiuGOngYh/eGn+QQugi9KFDeQUfp33Es9KJs9d8uWLRbP6ZdffgEgFjbqHLXJWX7VOWpZYdOkiXjnkblCxNtbTOzK5nYpN8Fd+bldKgwJGQqmm+CQEBHVecyw3EdqaiouXrxYK+7CsCZHYusQRrVMcGdFjiSyW3c0HvhXeLqMAAAUOh0R51c5VwBAPnuur6+vxXMyrF+8eLHF7RYtWiSFfp944gls/nmz2UnmnnzySQD6OVMeG4idu3fKz8cFGPjYwIr/TVmY14aIqC5jD4sZd+7cwZC4IWjdujXi4uIQFhaGIXFDcPfuXXs37YFZ1WtjxfT0QLl5Q/Q9Ajv2iPOGVIY1uZg7BcVYmuoGz24jAAC52Wtwu+gDCCcLTM6eO3r0aIvnZFivVqstbpeXlycteu655+Di6lIW5DVMj18KuLi6SE+KBsQ5U2IGx8gOGTM4Bj/9+JNsmdR7ZaZgKt+7RURUl7BgMaOqL8SOJDU1Fdu2bauQRwH0mQoLD9YzzlzIHqhoNIRS/oGK1r63wdcLv0aj+o1kuZhG9cUJ7v64nothC/Yh5eY96IrvIXPrR8j5z0rgC51YMOjv/DHOe+zdu9fiOe3fvx8A8Nhjj1kcvil/S/WRw0fg6uIqW+bq4lrh0QA2Pw/KymKRiKgu4ZCQCdU106y9WTN8069fP3EIohFMTk9vnLmojlulAaMJ7qIhTt9fCOTsz8G4t77A3VaxKCrRIdDTFclfTEdJ33TxyccWZs/dtGmT/GGBBiEA0oANGzZgypQp4tCQhan5fXx8ZO3s3LkziouKsWzZMvz222947LHHZD0rBtbOXivlXbZCPsykL6zKPyOIiKguYcFiQnXNNGtv1lw4pefU7NsFYbAgTqVfACj2VnxOjS0T3Fl70TZZLApO8AyegpteMUCJDv1bN8G/xnRBqy8LkL0FYuZDP3sutooPQDRuZ8uWLcV/mHlYoLTewMzU/OZERUXBz8/PZCjWluI3LCwMffr0wd79eyvMF9Onb58a+d8cEVFV4ZCQCbbMWVJT2DJ889OPPyF6QLRsSCZ6QHSFzIUtt0pb+97li0UnwRO+xe/D00sMscYEAd9O7oZb19LE25oNvSGGDEkjIPt2tuyYsbGxZUM91wD46r/rh3ri4uIAGPVgXIE4LX+o/vtlyNfrWZNzsmVeGQBwdXMV22pMAbi6uoKIqC5jD4sJ1THTrL3Z0mtky3NqrJly35b3Ni4WXTuEwLf4LbgI/tDp7iF785d49efv4OykKDummd4Q42Omp6dbHOq5ckWsTGVPQRbu/xRka3qNbOmFSk1Nxc4dO8XjNYWsJ2jnhp01diiSiKgqsGAxw9pn39QUlXk+kTXPqbGmuLHlvQ3F4v5LGjRuNRNOTu4oKb6B7J/i0b9DmMnCxtSDCk32glkx1GPtU5BtyjlZyKUYkxV2KqNz0v+W1tShSCKiqsCCxYza9jTc6u41slTc2PLepVoduv81Hmd/vwEAuHfpKLI2f4LBAx+VFQ22HFN6wKCZ4iY4uKzrx9rP3dpeo4sXL1oM/JrrXaqqh14SEdUWLFjuozY9DdeevUbWvPfdgmK8tPo49l3IAgA807Ex+vSNRNhHx01+Btaej2z2XBNPYTZ+AKHB/T53a4sLaTszgV9TvUu1aSiSiKiqKASbJ4lwTGq1GiqVCrm5ufD09LR3cxyaPXuNzL33nzfUmLoiGdfu3kM9V2d8+nQnDO0Y8EDHNEhNTUXr1q0BfwAZRiv0GZbU1NRK/RyGxA3Bjj07oI0uV1z0HSS788na7QDg7t27YhFWRTMHExE5Omuv3yxYyO42n7iB1386gaISHZp71cfSSRFo41+1n6FUNERppVu1nQ+YLhqsZW1xUZkipLYMRRIR3Y/dCpb4+HisX78eZ8+eRb169RAVFYX58+eLf+GasXv3bgwYMKDC8jNnzqBNmzZWvS8LlppHqxPwya9n8c2eSwCAPqE+WDC2CxrVd6vy96rOngtriwsWIUREFdmtYBkyZAieeeYZdOvWDaWlpXjrrbdw6tQp/Pnnn2jQoIHJfQwFy7lz52SNbdKkCZydna16XxYsNUtOoZhX2XtezKtM69cKr8W0hrNT+UlIqhaLBiIix2Lt9bvKQ7e//irvXv/uu+/g6+uLo0ePom/fvhb39fX1RaNGjaq6SeRgztwU8ypX74h5lU+e6ohhnQIfynvXphA1EVFdUu0z3ebm5gIAvLy87rttly5dEBAQgMceewy7du2yuK1Go4FarZZ9keP75eQNjPz6AK7euYcgr3pYPz3qoRUrRERUc1VrwSIIAmbPno1HH30UHTp0MLtdQEAAli5dinXr1mH9+vVo3bo1HnvsMezZs8fsPvHx8VCpVNJXUFBQdZwCVRGtTkD8tjOY+cNx3CvRok+oD36e+SjaBnD4joiI7q9a7xKaMWMGtmzZgn379qFZs2Y27Tts2DAoFAps3rzZ5HqNRgONRiO9VqvVCAoKYobFAZXPq7zQtyVei2kNF2c+yoqIqK6zW4bF4KWXXsLmzZuxZ88em4sVAOjZsydWrlxpdr1SqYRSqXyQJtJDcDZDjanLjyL9TiHcXZ3wyVOd8ASHgIiIyEZVXrAIgoCXXnoJGzZswO7duxESElKp4xw/fhwBAdZNHEaOacvJm3j1fydwr0SLZo3rYenESLQLZO8XERHZrsoLlhkzZuCHH37Apk2b4OHhgYwMcWpRlUqFevXqAQDmzJmD69evY/ny5QCAL7/8Ei1atED79u1RXFyMlStXYt26dVi3bl1VN48eAq1OwKfbz2HxbvF5O48+Is6v0rhB1c+vQkREdUOVFyyLFy8GAPTv31+2/LvvvsOUKVMAADdv3kR6erq0rri4GK+++iquX7+OevXqoX379tiyZQvi4uKqunlUzXILS/DSmuPYk3obADC1b0u8zrwKERE9IE7NT1XmXEYepq5IxpVsMa8yf1RHDO/c1N7NIiIiB2b30C3VLVtPiXmVwmIxr/LNxAi0D1TZu1lERFRLsGChB6LVCfhs+zl8rc+r9H7EGwvGdoUX8ypERFSFWLBQpeUWluDltcex+5yYV3m+TwjeGNKGeRUiIqpyLFioUlJv5eH55cyrEBHRw8GChWy27dRN/F2fV2naSMyrdGjKvAoREVUfFixkNa1OwOeJ57Bol5hXiWrljYXjmFchIqLqx4KFrJJ7rwQvrynLqzz3aAjmxDKvQkREDwcLFrqv1Ft5mLo8GZezC6F0EfMqI7owr0JERA8PCxay6Nc/buLvP55AAfMqRERkRyxYyCSdTsAXO1KxYOcFAECvlt5YOK4LvBvyCdlERPTwsWChCnLvleCVtSnYeTYTAPCX3iF4M455FSIish8WLCRz/lYepq44irSsAihdnBA/Mhwjuzazd7OIiKiOY8FCkoTTGZi9NgUFxVoEqtyxdFIk8ypEROQQWLAQdDoBX+5IxVf6vErPll5YNK4r8ypEROQwWLDUceqiEryyJgW/6fMqz/ZugTfj2sKVeRUiInIgLFjqsAuZeZi6/CguZRXAzcUJ8U+GY1QE8ypEROR4WLDUUdtPZ2D2jyeQrylFoMod30yMRHgz5lWIiMgxsWCpY3Q6AV/+dh5f/XYeANAjxAuLxneFD/MqRETkwFiw1CHqohLMXpuCHWfEvMqUqBZ4ayjzKkRE5PhYsNQRFzLzMXVFMi7dFvMq854Mx1PMqxARUQ3BgqUOSPzzFl5Zm4J8TSkCVO5YMiECnYIa2btZREREVmPBUovpdAK+2nkeX+4Q8yrdQ8T5VZp4MK9CREQ1CwuWWiqvqASvrD2BHWduAQAm9wrG24+3Y16FiIhqJBYstdDF2/mYujwZF/V5lY9GdMDTkUH2bhYREVGlsWCpZXbo8yp5mlL4e7rjm4nMqxARUc3HgqWW0OkELNh5AV/sSAUAdG8hzq/CvAoREdUGLFhqgbyiEvz9xxPY/qeYV5nUKxhvD20HNxfmVYiIqHZgwVLDXbqdj+cNeRVnJ3w4ogNGd2NehYiIahcWLDXYb2duYdaasrzKkokR6My8ChER1UIsWGognU7Aol0X8PmOVAgC0K1FYywa3xW+Hu72bhoREVG1YMFSw+RrSvH3H1OQcFrMq0zo2Rz/93h75lWIiKhWq7ar3Ndff42QkBC4u7sjIiICe/futbh9UlISIiIi4O7ujpYtW2LJkiXV1bQa69LtfIxYtB8Jp2/BzdkJ80eF48MR4SxWiIio1quWK93atWsxa9YsvPXWWzh+/Dj69OmD2NhYpKenm9w+LS0NcXFx6NOnD44fP44333wTf/vb37Bu3brqaF6NtPPsLQxftB8XMvPh56nEmhd6Yky35vZuFhER0UOhEARBqOqD9ujRA127dsXixYulZW3btsWIESMQHx9fYfs33ngDmzdvxpkzZ6Rl06ZNw4kTJ3Dw4EGr3lOtVkOlUiE3Nxeenp4PfhIOQhDEvMpniWJeJSK4MRZPYF6FiIhqB2uv31Xew1JcXIyjR48iOjpatjw6OhoHDhwwuc/BgwcrbB8TE4Pk5GSUlJSY3Eej0UCtVsu+apt8TSleXHkMn24Xi5XxPZpj9fM9WawQEVGdU+UFS1ZWFrRaLfz8/GTL/fz8kJGRYXKfjIwMk9uXlpYiKyvL5D7x8fFQqVTSV1BQ7Zt75Nu9afj1dAbcnJ3w8chwfPQk8ypERFQ3VdvVT6FQyF4LglBh2f22N7XcYM6cOcjNzZW+rl69+oAtdjwv9m+FuHB/rHmhJ57pzrwKERHVXVV+W7OPjw+cnZ0r9KZkZmZW6EUx8Pf3N7m9i4sLvL29Te6jVCqhVNbu5+S4uTjh6/ER9m4GERGR3VV5D4ubmxsiIiKQmJgoW56YmIioqCiT+/Tq1avC9tu3b0dkZCRcXV2ruolERERUw1TLkNDs2bPxn//8B//9739x5swZvPLKK0hPT8e0adMAiMM5kyZNkrafNm0arly5gtmzZ+PMmTP473//i2+//RavvvpqdTSPiIiIaphqmel2zJgxyM7Oxvvvv4+bN2+iQ4cO2Lp1K4KDgwEAN2/elM3JEhISgq1bt+KVV17BokWLEBgYiK+++gqjRo2qjuYRERFRDVMt87DYQ22dh4WIiKg2s9s8LERERERVjQULEREROTwWLEREROTwWLAQERGRw2PBQkRERA6PBQsRERE5PBYsRERE5PBYsBAREZHDY8FCREREDq9apua3B8OEvWq12s4tISIiImsZrtv3m3i/1hQseXl5AICgoCA7t4SIiIhslZeXB5VKZXZ9rXmWkE6nw40bN+Dh4QGFQmHv5lQZtVqNoKAgXL16lc9IclD8jBwbPx/Hx8/I8VXnZyQIAvLy8hAYGAgnJ/NJlVrTw+Lk5IRmzZrZuxnVxtPTk7/IDo6fkWPj5+P4+Bk5vur6jCz1rBgwdEtEREQOjwULEREROTwWLA5OqVTi3XffhVKptHdTyAx+Ro6Nn4/j42fk+BzhM6o1oVsiIiKqvdjDQkRERA6PBQsRERE5PBYsRERE5PBYsBAREZHDY8HiwL7++muEhITA3d0dERER2Lt3r72bRHpz586FQqGQffn7+9u7WXXanj17MGzYMAQGBkKhUGDjxo2y9YIgYO7cuQgMDES9evXQv39/nD592j6NraPu9xlNmTKlwu9Vz5497dPYOig+Ph7dunWDh4cHfH19MWLECJw7d062jT1/j1iwOKi1a9di1qxZeOutt3D8+HH06dMHsbGxSE9Pt3fTSK99+/a4efOm9HXq1Cl7N6lOKygoQKdOnbBw4UKT6z/55BN8/vnnWLhwIY4cOQJ/f38MHjxYeg4ZVb/7fUYAMGTIENnv1datWx9iC+u2pKQkzJgxA4cOHUJiYiJKS0sRHR2NgoICaRu7/h4J5JC6d+8uTJs2TbasTZs2wj/+8Q87tYiMvfvuu0KnTp3s3QwyA4CwYcMG6bVOpxP8/f2Fjz/+WFpWVFQkqFQqYcmSJXZoIZX/jARBECZPniwMHz7cLu2hijIzMwUAQlJSkiAI9v89Yg+LAyouLsbRo0cRHR0tWx4dHY0DBw7YqVVU3vnz5xEYGIiQkBA888wzuHTpkr2bRGakpaUhIyND9julVCrRr18//k45mN27d8PX1xdhYWF4/vnnkZmZae8m1Vm5ubkAAC8vLwD2/z1iweKAsrKyoNVq4efnJ1vu5+eHjIwMO7WKjPXo0QPLly9HQkIC/v3vfyMjIwNRUVHIzs62d9PIBMPvDX+nHFtsbCxWrVqFnTt34rPPPsORI0cwcOBAaDQaezetzhEEAbNnz8ajjz6KDh06ALD/71GteVpzbaRQKGSvBUGosIzsIzY2Vvp3eHg4evXqhVatWuH777/H7Nmz7dgysoS/U45tzJgx0r87dOiAyMhIBAcHY8uWLRg5cqQdW1b3zJw5EydPnsS+ffsqrLPX7xF7WByQj48PnJ2dK1SsmZmZFSpbcgwNGjRAeHg4zp8/b++mkAmGO7j4O1WzBAQEIDg4mL9XD9lLL72EzZs3Y9euXWjWrJm03N6/RyxYHJCbmxsiIiKQmJgoW56YmIioqCg7tYos0Wg0OHPmDAICAuzdFDIhJCQE/v7+st+p4uJiJCUl8XfKgWVnZ+Pq1av8vXpIBEHAzJkzsX79euzcuRMhISGy9fb+PeKQkIOaPXs2Jk6ciMjISPTq1QtLly5Feno6pk2bZu+mEYBXX30Vw4YNQ/PmzZGZmYkPP/wQarUakydPtnfT6qz8/HxcuHBBep2WloaUlBR4eXmhefPmmDVrFubNm4fQ0FCEhoZi3rx5qF+/PsaNG2fHVtctlj4jLy8vzJ07F6NGjUJAQAAuX76MN998Ez4+PnjyySft2Oq6Y8aMGfjhhx+wadMmeHh4SD0pKpUK9erVg0KhsO/vUbXfh0SVtmjRIiE4OFhwc3MTunbtKt1aRvY3ZswYISAgQHB1dRUCAwOFkSNHCqdPn7Z3s+q0Xbt2CQAqfE2ePFkQBPGWzHfffVfw9/cXlEql0LdvX+HUqVP2bXQdY+kzKiwsFKKjo4UmTZoIrq6uQvPmzYXJkycL6enp9m52nWHqswEgfPfdd9I29vw9UugbSUREROSwmGEhIiIih8eChYiIiBweCxYiIiJyeCxYiIiIyOGxYCEiIiKHx4KFiIiIHB4LFiIiInJ4LFiIiIjI4bFgISIiIofHgoWIiIgcHgsWIiIicngsWIiIiMjh/T962sHMF8omQQAAAABJRU5ErkJggg==\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 @@ }, { 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