PER90

Interceptions

100 players · Players in the Serie A · every home matches on record · minimum 3 appearances

Reading the pass rather than making the challenge. No bookmaker market attached, and no model projection — trends only.

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 1.5 — share of appearances beating that line
PlayerTeamAppsMins/appPer 90Last 5 matchesOver 0.5Over 1.5
Mateusz WieteskaDEFCagliari3514.0000633%1/333%1/3
Mats HummelsDEFRoma7783.133502386%6/771%5/7
Giorgio AltareDEFVenezia5672.5031142100%5/560%3/5
Pablo Marí VillarDEFMonza19872.452250484%16/1968%13/19
Rosen BozhinovDEFPisa4662.41214075%3/450%2/4
Diego CoppolaDEFHellas Verona16842.402314294%15/1669%11/16
Armel Bella-KotchapDEFHellas Verona10672.370023280%8/1060%6/10
Andrias EdmundssonDEFHellas Verona8902.2514213100%8/875%6/8
Ebenezer AkinsanmiroMIDPisa12562.181410058%7/1233%4/12
Roberto GagliardiniMIDHellas Verona19652.062114179%15/1932%6/19
Samuel GigotDEFLazio6572.001420050%3/633%2/6
Victor NelssonDEFHellas Verona20851.982314285%17/2060%12/20
Frédéric GuilbertDEFLecce17781.962011382%14/1747%8/17
Adam MasinaDEFTorino15681.910411073%11/1533%5/15
Ardian IsmajliDEFEmpoli27821.901123281%22/2752%14/27
Niccolò PisilliMIDRoma25521.863410148%12/2524%6/25
Rafael TolóiDEFAtalanta3651.8503167%2/333%1/3
José Luis PalominoDEFCagliari7631.842211286%6/743%3/7
Joël Marcel SchingtienneDEFVenezia8621.831221388%7/838%3/8
Eivind Fauske HellandDEFBologna3831.81221100%3/367%2/3
Nicolae Claudiu StanciuMIDGenoa3581.7801267%2/333%1/3
Nicolò RovellaMIDLazio23751.741011274%17/2348%11/23
Alberto GrassiMIDCremonese30621.722222070%21/3040%12/30
Antonio Aldo CaraccioloDEFPisa18901.675102278%14/1844%8/18
Mattia VitiDEFEmpoli21671.670000052%11/2138%8/21
Luca MarianucciDEFEmpoli15591.651000247%7/1533%5/15
Unai Núñez GestosoDEFHellas Verona9611.630015167%6/911%1/9
Felipe Ignacio Loyola OleaMIDPisa4561.62002250%2/450%2/4
Gleison Bremer Silva NascimentoDEFJuventus17861.592522194%16/1729%5/17
Luca CaldirolaDEFMonza6591.591030250%3/633%2/6
Giorgio ScalviniDEFAtalanta15731.591412160%9/1533%5/15
Michael SvobodaDEFVenezia7901.572241071%5/757%4/7
Giovanni LeoniDEFParma9641.550021056%5/922%2/9
Daniele GhilardiDEFHellas Verona25651.550212176%19/2540%10/25
Matteo PessinaMIDMonza6791.520111483%5/617%1/6
Renato Palma VeigaDEFJuventus6901.502110383%5/650%3/6
Kyle Andrew WalkerDEFAC Milan6641.501230067%4/633%2/6
Berat DjimsitiDEFAtalanta35741.495331074%26/3523%8/35
Honest AhanorDEFAtalanta15611.492400247%7/1527%4/15
Mattia De SciglioDEFEmpoli8581.471220163%5/825%2/8
Danilo D'AmbrosioDEFMonza10541.461004330%3/1020%2/10
Luca PellegriniDEFLazio24621.451113167%16/2417%4/24
Filippo TerraccianoDEFCremonese24741.452133275%18/2429%7/24
Oumar NgomMIDLecce6631.441011283%5/617%1/6
Armando IzzoDEFMonza16841.431111081%13/1631%5/16
Jakub PiotrowskiMIDUdinese16461.421100150%8/1613%2/16
Nicolás ValentiniDEFHellas Verona17721.410301259%10/1741%7/17
Obite Evan N'DickaDEFRoma36871.412442069%25/3642%15/36
João Mário Neto LopesDEFBologna8541.380104038%3/813%1/8
Arturo CalabresiDEFPisa11681.380111064%7/119%1/11
Tijjani ReijndersMIDAC Milan18821.373212172%13/1839%7/18
Patrizio MasiniMIDGenoa24571.373211054%13/2429%7/24
Morten FrendrupMIDGenoa38861.362111376%29/3837%14/38
Mario Hermoso CansecoDEFRoma19681.361101063%12/1926%5/19
Cheikh Ahmet Tidian NiasseMIDHellas Verona15511.360010147%7/1513%2/15
Nicolò CasaleDEFBologna11631.350102045%5/1127%3/11
Paulo Daniel Dentello AzziMIDCagliari4671.34110275%3/425%1/4
Johan Felipe Vásquez IbarraDEFGenoa37841.340111368%25/3730%11/37
Francesco CoppolaDEFPisa3901.33112100%3/333%1/3
Adam ObertDEFCagliari25701.330111168%17/2528%7/25
Gianluca GaetanoMIDCagliari31461.323222142%13/3116%5/31
Tommaso PobegaMIDBologna20501.320002045%9/2020%4/20
Juan Martín Rodríguez CamejoDEFCagliari9771.320221078%7/933%3/9
Souleymane Isaak ToureDEFUdinese6591.320101167%4/617%1/6
Alessandro BuongiornoDEFNapoli29841.320011266%19/2941%12/29
Francesco AcerbiDEFInter21851.310201176%16/2133%7/21
Luka ModrićMIDAC Milan18781.310100167%12/1828%5/18
Alan Matturro RomeroDEFGenoa8641.300023150%4/825%2/8
Sead KolašinacDEFAtalanta23711.300111170%16/2313%3/23
Leandro Daniel ParedesMIDRoma15601.290111173%11/1520%3/15
André-Frank Zambo AnguissaMIDNapoli25781.290011268%17/2528%7/25
Domenico BerardiFWDSassuolo14751.291211379%11/1421%3/14
Isak HienDEFAtalanta30741.282002353%16/3033%10/30
Jean-Daniel Akpa AkproMIDHellas Verona20661.283010045%9/2030%6/20
Gianluca ManciniDEFRoma37861.283010068%25/3738%14/37
Christian KabaseleDEFUdinese26771.271212181%21/2623%6/26
Enrique Pérez MuñozMIDVenezia8681.270200150%4/825%2/8
Guillermo Alfonso Maripán LoaysaDEFTorino28821.270101071%20/2832%9/28
Mariano TroiloDEFParma10781.272310060%6/1030%3/10
Marten de RoonMIDAtalanta33801.261011070%23/3330%10/33
Lautaro GianettiDEFUdinese7641.260311057%4/714%1/7
Éderson José dos Santos Lourenço da SilvaMIDAtalanta35771.263101263%22/3531%11/35
Idrissa TouréMIDPisa17701.260010071%12/1712%2/17
Jaka BijolDEFUdinese17841.250102171%12/1729%5/17
Jesper KarlströmMIDUdinese36881.250024267%24/3633%12/36
Saba GoglichidzeDEFEmpoli19761.250230047%9/1937%7/19
Lorenzo BernasconiMIDAtalanta14631.240310043%6/1429%4/14
Niakhate NdiayeDEFParma6661.230102167%4/617%1/6
Kristian ThorstvedtMIDSassuolo17741.232200053%9/1735%6/17
Stefan de VrijDEFInter18641.222301072%13/1817%3/18
Yerry Fernando Mina GonzálezDEFCagliari29841.221123172%21/2931%9/29
Oumar Solet BomawokoDEFUdinese26891.213011169%18/2631%8/26
Mandela KeitaMIDParma34731.210113162%21/3429%10/34
Benjamin PavardDEFInter15721.202110260%9/1527%4/15
Nicolò BertolaDEFUdinese15631.201010167%10/1513%2/15
Tarik MuharemovicDEFSassuolo16901.190310056%9/1638%6/16
Ylber RamadaniMIDLecce34761.190221259%20/3432%11/34
Nuno Albertino Varela TavaresDEFLazio20691.190321160%12/2025%5/20
Paweł DawidowiczDEFHellas Verona14691.190110443%6/1421%3/14
Saúl Basilio Coco-Bassey OubiñaDEFTorino32881.180131166%21/3231%10/32

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.