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Standard Stats: Domestic Leagues

Standard Stats: Domestic Leagues Table
Playing Time Performance Per 90 Minutes
Season Age Squad Country Comp LgRank MP Starts Min 90s Gls Ast G+A G-PK PK PKatt CrdY CrdR Gls Ast G+A G-PK G+A-PK Matches
2001-200221Empoliit ITA2. Serie B4th33322,82331.491221900800.290.380.670.290.67
2002-200322Parmait ITA1. Serie A5th24799611.1000000100.000.000.000.000.00Matches
2003-200423Parmait ITA1. Serie A5th33322,42526.98513800100.300.190.480.300.48Matches
2004-200524Parmait ITA1. Serie A17th34312,74130.5347300310.100.130.230.100.23Matches
2005-200625Parmait ITA1. Serie A7th32272,31125.78210800200.310.080.390.310.39Matches
2006-200726Palermoit ITA1. Serie A5th34322,55228.46410600300.210.140.350.210.35Matches
2007-200827Palermoit ITA1. Serie A11th26121,25113.9123100400.070.140.220.070.22Matches
2008-200928Palermoit ITA1. Serie A8th26232,04622.7415400510.180.040.220.180.22Matches
2009-201029Palermoit ITA1. Serie A5th18181,53017.0112100300.060.060.120.060.12Matches
2010-201130Lazioit ITA1. Serie A5th2076527.2000000300.000.000.000.000.00Matches
10 Seasons4 Clubs2 Leagues28022119,327214.740317140003320.190.140.330.190.33
Country Comp LgRank MP Starts Min 90s Gls Ast G+A G-PK PK PKatt CrdY CrdR Gls Ast G+A G-PK G+A-PK Matches
Parma (4 Seasons)1 League123978,47394.11911301900710.200.120.320.200.32
Palermo (4 Seasons)1 League104857,37982.01282012001510.150.100.240.150.24
Empoli (1 Season)1 League33322,82331.491221900800.290.380.670.290.67
Lazio (1 Season)1 League2076527.2000000300.000.000.000.000.00
Serie A (9 Seasons)24718916,504183.431195031002520.170.100.270.170.27
Serie B (1 Season)33322,82331.491221900800.290.380.670.290.67

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Shooting: Domestic Leagues

Shooting: Domestic Leagues Table
Standard
Season Age Squad Country Comp LgRank 90s Gls Sh SoT SoT% Sh/90 SoT/90 G/Sh G/SoT Dist PK PKatt Matches
2001-200221Empoliit ITA2. Serie B4th31.49321.020.2800
2002-200322Parmait ITA1. Serie A5th11.1020.180.0000Matches
2003-200423Parmait ITA1. Serie A5th26.98351.300.2300Matches
2004-200524Parmait ITA1. Serie A17th30.53170.560.1800Matches
2005-200625Parmait ITA1. Serie A7th25.78291.130.2800Matches
2006-200726Palermoit ITA1. Serie A5th28.46190.670.3200Matches
2007-200827Palermoit ITA1. Serie A11th13.9170.500.1400Matches
2008-200928Palermoit ITA1. Serie A8th22.74120.530.3300Matches
2009-201029Palermoit ITA1. Serie A5th17.01110.650.0900Matches
2010-201130Lazioit ITA1. Serie A5th7.2010.140.0000Matches
10 Seasons4 Clubs2 Leagues214.7401650.770.2400
Country Comp LgRank 90s Gls Sh SoT SoT% Sh/90 SoT/90 G/Sh G/SoT Dist PK PKatt Matches
Parma (4 Seasons)1 League94.119830.880.2300
Palermo (4 Seasons)1 League82.012490.600.2400
Empoli (1 Season)1 League31.49321.020.2800
Lazio (1 Season)1 League7.2010.140.0000
Serie A (9 Seasons)183.4311330.730.2300
Serie B (1 Season)31.49321.020.2800

Playing Time: Domestic Leagues

Playing Time: Domestic Leagues Table
Playing Time Starts Subs Team Success
Season Age Squad Country Comp LgRank MP Min Mn/MP Min% 90s Starts Mn/Start Compl Subs Mn/Sub unSub PPM onG onGA +/- +/-90 On-Off Matches
2001-200221Empoliit ITA2. Serie B4th332,8238682.531.4321
2002-200322Parmait ITA1. Serie A5th249964232.511.17617Matches
2003-200423Parmait ITA1. Serie A5th332,4257379.226.932131Matches
2004-200524Parmait ITA1. Serie A17th342,7418180.130.531263Matches
2005-200625Parmait ITA1. Serie A7th322,3117267.625.727165Matches
2006-200726Palermoit ITA1. Serie A5th342,5527574.628.432172Matches
2007-200827Palermoit ITA1. Serie A11th261,2514836.613.912514Matches
2008-200928Palermoit ITA1. Serie A8th262,0467959.822.723133Matches
2009-201029Palermoit ITA1. Serie A5th181,5308544.717.018130Matches
2010-201130Lazioit ITA1. Serie A5th206523319.17.27213Matches
10 Seasons4 Clubs2 Leagues28019,3276957.7214.722111159
Country Comp LgRank MP Min Mn/MP Min% 90s Starts Mn/Start Compl Subs Mn/Sub unSub PPM onG onGA +/- +/-90 On-Off Matches
Parma (4 Seasons)1 League1238,4736965.494.1976126
Palermo (4 Seasons)1 League1047,3797153.982.0854819
Empoli (1 Season)1 League332,8238682.531.4321
Lazio (1 Season)1 League206523319.17.27213
Serie A (9 Seasons)24716,5046754.9183.418911158
Serie B (1 Season)332,8238682.531.4321

Miscellaneous Stats: Domestic Leagues

Miscellaneous Stats: Domestic Leagues Table
Performance
Season Age Squad Country Comp LgRank 90s CrdY CrdR 2CrdY Fls Fld Off Crs Int TklW PKwon PKcon OG Matches
2001-200221Empoliit ITA2. Serie B4th31.480
2002-200322Parmait ITA1. Serie A5th11.11028Matches
2003-200423Parmait ITA1. Serie A5th26.91076Matches
2004-200524Parmait ITA1. Serie A17th30.53164Matches
2005-200625Parmait ITA1. Serie A7th25.72071Matches
2006-200726Palermoit ITA1. Serie A5th28.43070Matches
2007-200827Palermoit ITA1. Serie A11th13.94041Matches
2008-200928Palermoit ITA1. Serie A8th22.75156Matches
2009-201029Palermoit ITA1. Serie A5th17.03026Matches
2010-201130Lazioit ITA1. Serie A5th7.23016Matches
10 Seasons4 Clubs2 Leagues214.7332448
Country Comp LgRank 90s CrdY CrdR 2CrdY Fls Fld Off Crs Int TklW PKwon PKcon OG Matches
Parma (4 Seasons)1 League94.171239
Palermo (4 Seasons)1 League82.0151193
Empoli (1 Season)1 League31.480
Lazio (1 Season)1 League7.23016
Serie A (9 Seasons)183.4252448
Serie B (1 Season)31.480

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About FBref.com

FBref.com launched (June 13, 2018) with domestic league coverage for England, France, Germany, Italy, Spain, and United States. Since then we have been steadily expanding our coverage to include domestic leagues from over 40 countries as well as domestic cup, super cup and youth leagues from top European countries. We have also added coverage for major international cups such as the UEFA Champions League and Copa Libertadores.

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In collaboration with Opta, we are including advanced analytical data such as xG, xA, progressive passing, duels and more for over twenty competitions. For more information on the expected goals model and which competitions have advanced data, see our xG explainer.

Note that player records are likely not complete for their careers. Players may come from or move to leagues we don't currently cover. This issue will go down over time, as we add new leagues and seasons. We will never in the future have less data than we do today.

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