PER90

Duels won

100 players · Midfielders in the Serie A · every home matches on record · minimum 10 appearances

Ground and aerial contests won. Broad, and therefore steadier match to match than the narrower markets above.

League

Team

19 with stats on record

Position

Sort by

Per 90 — rate over 90 minutes playedLast 5 — actual counts, newest first. Hover one for the opponent, minutes and dateOver 4.5 — share of appearances beating that line
PlayerTeamAppsMins/appPer 90Last 5 matchesOver 2.5Over 4.5
Morten ThorsbyMIDGenoa285610.192113671%20/2857%16/28
Patrizio MasiniMIDGenoa24578.501825267%16/2446%11/24
Cesare CasadeiMIDTorino24598.1151131179%19/2467%16/24
Roberto GagliardiniMIDHellas Verona19657.94414513774%14/1947%9/19
Idrissa TouréMIDPisa17707.852532082%14/1776%13/17
Jacopo FazziniMIDEmpoli18587.702723167%12/1844%8/18
Michael Ijemuan FolorunshoMIDCagliari24607.102782467%16/2458%14/24
Ibrahim SulemanaMIDCagliari13507.0221141146%6/1331%4/13
Ebenezer AkinsanmiroMIDPisa12566.7021152567%8/1258%7/12
Nicolás Paz MartínezMIDComo35806.577686283%29/3569%24/35
Martín Ismael PayeroMIDCremonese24596.533032571%17/2450%12/24
Charles De KetelaereMIDAtalanta32706.5165108678%25/3253%17/32
Tomáš SuslovMIDHellas Verona20586.472830360%12/2040%8/20
Ondrej DudaMIDHellas Verona14876.3077387100%14/1471%10/14
Kouadio KoneMIDRoma31806.296864987%27/3165%20/31
Adrien RabiotMIDAC Milan14906.2936610193%13/1471%10/14
Cheikh Ahmet Tidian NiasseMIDHellas Verona15515.981148553%8/1540%6/15
Jakub PiotrowskiMIDUdinese16465.970131444%7/1625%4/16
Éderson José dos Santos Lourenço da SilvaMIDAtalanta35775.885743783%29/3557%20/35
Scott McTominayMIDNapoli33885.845575294%31/3373%24/33
Jens OdgaardMIDBologna28605.813020864%18/2839%11/28
Lewis FergusonMIDBologna22645.803081759%13/2236%8/22
Ylber RamadaniMIDLecce34765.8027124879%27/3444%15/34
Jean-Daniel Akpa AkproMIDHellas Verona20665.748142560%12/2040%8/20
Benito Nicolas ViolaMIDCagliari14475.730236257%8/1429%4/14
Ruben Loftus-CheekMIDAC Milan22485.621212655%12/2227%6/22
Daniel MaldiniMIDAtalanta29455.624107248%14/2934%10/29
Kristian ThorstvedtMIDSassuolo17745.5839710382%14/1741%7/17
Alexis SaelemaekersMIDAC Milan31765.586464487%27/3145%14/31
Nicolò RovellaMIDLazio23755.482344696%22/2348%11/23
Mandela KeitaMIDParma34735.485543176%26/3447%16/34
Nicola ZalewskiMIDAtalanta27525.474613359%16/2722%6/27
Fabio MirettiMIDGenoa23465.432121052%12/2317%4/23
Tommaso PobegaMIDBologna20505.371203145%9/2020%4/20
Gianluca BusioMIDVenezia17745.344283065%11/1735%6/17
Alessio ZerbinMIDCremonese27655.323211352%14/2741%11/27
Nikola VlašićMIDTorino35805.274445686%30/3546%16/35
André-Frank Zambo AnguissaMIDNapoli25785.261522264%16/2548%12/25
Warren BondoMIDCremonese26685.252332773%19/2642%11/26
Gaetano Pio OristanioMIDVenezia29595.183311572%21/2938%11/29
Khéphren Thuram-UlienMIDJuventus35705.171334780%28/3531%11/35
Manuel LocatelliMIDJuventus37805.166465676%28/3757%21/37
Gvidas GineitisMIDTorino29535.1445310852%15/2924%7/29
Medon BerishaMIDLecce17495.140954141%7/1724%4/17
Cher NdourMIDFiorentina20565.130494240%8/2025%5/20
Emirhan İlkhanMIDTorino10525.092326360%6/1030%3/10
Morten FrendrupMIDGenoa38865.008436584%32/3855%21/38
Bryan CristanteMIDRoma33774.99746111067%22/3342%14/33
Samuele AngoriMIDPisa17774.950825965%11/1741%7/17
Alessandro BiancoMIDMonza17734.929515265%11/1741%7/17
Maxence CaqueretMIDComo26564.874353158%15/2623%6/26
Suat SerdarMIDHellas Verona21594.701240148%10/2119%4/21
Timothy WeahMIDJuventus16534.661210544%7/1625%4/16
Martin BaturinaMIDComo13614.644261954%7/1315%2/13
Issa DoumbiaMIDVenezia11484.565032236%4/1127%3/11
Reda BelahyaneMIDHellas Verona20554.505050150%10/2020%4/20
Marten de RoonMIDAtalanta33804.494275470%23/3339%13/33
Sandi LovricMIDUdinese24554.455030458%14/2413%3/24
Nicolò BarellaMIDInter35804.452336874%26/3534%12/35
Arthur AttaMIDUdinese30674.412444263%19/3017%5/30
Emanuel Quartsin GyasiMIDEmpoli18864.370425478%14/1844%8/18
Hans Nicolussi CavigliaMIDVenezia32704.374701366%21/3228%9/32
Gianluca GaetanoMIDCagliari31464.362693239%12/316%2/31
Samuele RicciMIDTorino32674.355251163%20/3231%10/32
Lassana CoulibalyMIDLecce36734.330853767%24/3636%13/36
Alberto GrassiMIDCremonese30624.303745050%15/3027%8/30
Petar SučićMIDInter17554.297311653%9/1718%3/17
Nemanja MatićMIDSassuolo17764.264060271%12/1718%3/17
Nikola MoroMIDBologna25634.222313464%16/2516%4/25
Adrian Bernabe GarciaMIDParma27704.224273063%17/2730%8/27
Marius Mihai MarinMIDPisa13574.200326131%4/1323%3/13
Remo FreulerMIDBologna32834.1933011163%20/3234%11/32
Nicolò FagioliMIDFiorentina32624.154823244%14/3219%6/32
Ruslan MalinovskiyMIDGenoa22644.151104164%14/2227%6/22
Antoine Joseph Emmanuel BernedeMIDHellas Verona24664.112525250%12/2429%7/24
Rolando MandragoraMIDFiorentina33674.094546467%22/3324%8/33
Youssef MalehMIDEmpoli22704.080211550%11/2227%6/22
Andrea ColpaniMIDFiorentina13554.081401246%6/138%1/13
Ivan IlićMIDTorino13564.060414046%6/138%1/13
Michel Ndary AdopoMIDCagliari36724.052272158%21/3619%7/36
Mikael Egill EllertssonMIDGenoa37774.044306565%24/3732%12/37
Hakan ÇalhanoğluMIDInter27704.043624159%16/2719%5/27
Alessandro DeiolaMIDCagliari24604.024131354%13/2413%3/24
Jurgen EkkelenkampMIDUdinese33673.986330358%19/3327%9/33
Lorenzo PellegriniMIDRoma20653.965451145%9/2020%4/20
Raoul BellanovaMIDAtalanta27653.950131348%13/2726%7/27
Piotr ZielińskiMIDInter31463.951107429%9/3113%4/31
Michel AebischerMIDPisa27743.913224659%16/2722%6/27
Francesco ZampanoMIDVenezia13643.871112438%5/1323%3/13
Teun KoopmeinersMIDJuventus30563.854010243%13/3010%3/30
Milan BadeljMIDGenoa11683.843021764%7/1118%2/11
Weston McKennieMIDJuventus35763.806341160%21/3523%8/35
Billy GilmourMIDNapoli24503.783012142%10/2417%4/24
Kristjan AsllaniMIDInter18613.783523350%9/1817%3/18
Simon SohmMIDParma30703.772441653%16/3017%5/30
Ismael KonéMIDSassuolo19803.749313474%14/1916%3/19
Leandro Daniel ParedesMIDRoma15603.662246033%5/1520%3/15
Patrick CiurriaMIDMonza11473.600116118%2/1118%2/11
Luka ModrićMIDAC Milan18783.603433361%11/1828%5/18
Youssouf FofanaMIDAC Milan32683.552023253%17/3222%7/32

Top 100 shown. Hit rates are what happened, not what will. A 100% over a five-match window is five matches, and five matches is not evidence — the Apps column is there to be read alongside every percentage in this table.