PER90

Cards

100 players · Players across all five leagues · their last 5 home matches · minimum 3 appearances

Any card — yellow or red, the way bookmakers settle it. Fouls first, then how readily the official reaches for one. Two referees averaging four a game can do it for completely different reasons.

Next upWolverhampton WanderersvBlackburn RoversFri 14 Aug, 20:00 · in 18h

What this is — the highest expected counts the model produces for cards in this fixture, over each player's expected minutes. Not tips and not prices: nothing in this panel has been compared against a bookmaker. This fixture has 2 published calls on the value board. Full board for this fixture.

League

Team

93 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 0.5 — share of appearances beating that line
PlayerTeamAppsMins/appPer 90Last 5 matchesOver 0.5
Nicolás Iván GonzálezFWDAtlético de Madrid5461.340200140%2/5
Haris TabakovicFWDBorussia Mönchengladbach5691.101110180%4/5
Antonee RobinsonDEFFulham5681.081101180%4/5
Mads Juel AndersenDEFLuton Town4481.02011050%2/4
Philip OteleFWDHamburger SV4470.97101050%2/4
Mamadou Sylla DialloFWDReal Valladolid5620.940101160%3/5
Kevin KamplMIDRB Leipzig5460.900020020%1/5
Luca PellegriniDEFLazio5800.900111180%4/5
İsak VuralMIDPisa5500.890001140%2/5
Tyler AdamsMIDAFC Bournemouth5660.871001160%3/5
Juan Berrocal GonzálezDEFGetafe5630.861011060%3/5
Miro MuheimDEFHamburger SV5850.851110180%4/5
Jonathan TahDEFFC Bayern München5640.840101160%3/5
Ben PearsonMIDStoke City5480.840010140%2/5
Youssef Enríquez LekhedimDEFDeportivo Alavés5460.830110040%2/5
Luke ShawDEFManchester United5870.831111080%4/5
Donny van de BeekMIDGirona5480.810011040%2/5
Michel AebischerMIDPisa5900.800111180%4/5
Jorge Cuenca BarrenoDEFFulham5460.801010160%3/5
Niklas SüleDEFBorussia Dortmund5460.800101040%2/5
Nicolas FonsecaMIDReal Oviedo5690.780111060%3/5
Tijanni NoslinFWDLazio5710.761101060%3/5
Hamza ChoudhuryMIDLeicester City5480.761000140%2/5
Nicolás CapaldoDEFHamburger SV5750.761001160%3/5
Rodrygo Silva de GoesFWDReal Madrid5500.760001140%2/5
John BuckleyMIDBlackburn Rovers5500.760101040%2/5
Álvaro Djaló Dias FernandesFWDAthletic Club5510.751100040%2/5
Marlon PackMIDPortsmouth5730.750111060%3/5
Nianzou Tanguy KouassiDEFSevilla3800.7511067%2/3
Jaïro RiedewaldMIDSheffield United5520.740001140%2/5
Ísak Bergmann JóhannessonMIDFC Köln5740.731101060%3/5
Marko IvezićDEFHolstein Kiel5740.731110060%3/5
Liam WalshMIDLuton Town5760.712000140%2/5
Matúš BeroMIDVfL Bochum 18485780.690110160%3/5
Alex MowattMIDWest Bromwich Albion5560.690110040%2/5
Marash KumbullaDEFMallorca5560.690100140%2/5
Valentín Mariano José Castellanos GiménezFWDWest Ham United5780.690111060%3/5
Di'Shon BernardDEFSheffield Wednesday5780.691000240%2/5
Gonçalo Baptista FrancoMIDSwansea City5790.690110160%3/5
Jeffrey GouweleeuwDEFFC Augsburg5790.680011160%3/5
Dimitris GiannoulisDEFFC Augsburg5590.680011040%2/5
Federico Sebastián Viñas BarbozaFWDReal Oviedo5800.671100160%3/5
Liam DelapFWDChelsea5550.671100040%2/5
Nobel MendyDEFRayo Vallecano5540.670110040%2/5
Jayden AddaiFWDComo5540.670101040%2/5
Igor Zubeldía ElorzaDEFReal Sociedad5810.671100160%3/5
Jacobo Ramón NaverosDEFComo5810.671110060%3/5
Francesco CoppolaDEFPisa3900.6701167%2/3
Xavi SimonsMIDTottenham Hotspur5620.671000140%2/5
Nicolas JacksonFWDFC Bayern München5600.670101040%2/5
Jorrel HatoDEFChelsea5580.671100160%3/5
Scott WhartonDEFBlackburn Rovers5560.671100040%2/5
K. GasparDEFLecce5550.670001140%2/5
Harry SouttarDEFSheffield United5810.670102040%2/5
Noahkai Kai Daniel BanksDEFFC Augsburg5810.670101160%3/5
Joelinton Cassio Apolinário de LiraMIDNewcastle United5820.660110160%3/5
Thiago Pitarch PinarMIDReal Madrid4680.66110050%2/4
Niakhate NdiayeDEFParma5610.650100140%2/5
Kaoru MitomaFWDBrighton & Hove Albion5580.651000140%2/5
Hamari TraoréDEFReal Sociedad3560.6510167%2/3
Anssumane FatiFWDFC Barcelona3490.6500133%1/3
Eduardo Expósito JaénMIDEspanyol5830.650011160%3/5
Sam GreenwoodMIDPreston North End5600.650002020%1/5
Christian GünterDEFSC Freiburg5560.650010140%2/5
Samuel SzmodicsMIDDerby County5830.651100160%3/5
Jhon Elmer Solis RomeroMIDBirmingham City5590.651010040%2/5
Jesuran Rak-SakyiFWDStoke City5580.650110040%2/5
Lautaro Rodrigo ValentiDEFParma5840.641001160%3/5
Lewis Jack GibsonDEFPreston North End5840.640101160%3/5
Ibrahima SissokoMIDVfL Bochum 18485840.641011060%3/5
Jordan ZemuraDEFUdinese5600.640011040%2/5
Unknown player 477098Las Palmas5850.640001240%2/5
Mattia ZaccagniFWDLazio5860.630011160%3/5
Konrad LaimerDEFFC Bayern München5630.631100040%2/5
Atakan KarazorMIDVfB Stuttgart5860.631100160%3/5
Jesús Joaquín Fernández Sáez de la TorreFWDSevilla5630.620101040%2/5
Abdelkabir AbqarDEFGetafe5610.610101040%2/5
Jaden HeskeyMIDSheffield Wednesday5880.611100160%3/5
Onyinye Wilfred NdidiMIDLeicester City5880.610011160%3/5
Eric MartelMIDFC Köln5880.610111060%3/5
Thiago Cruz FernándezFWDReal Oviedo5590.611010040%2/5
Rhys Norrington-DaviesDEFQueens Park Rangers5890.610110160%3/5
Cyle LarinFWDSouthampton5650.611010160%3/5
Nico ElvediDEFBorussia Mönchengladbach5890.600111060%3/5
José Pedro da Silva Figueiredo FreitasDEFCagliari5650.601001040%2/5
Rafael Alexandre Conceição LeãoFWDAC Milan5640.600101040%2/5
Kalvin PhillipsMIDIpswich Town5640.601110060%3/5
José Ángel Carmona NavarroDEFSevilla5600.600110040%2/5
Manuel LocatelliMIDJuventus5900.600111060%3/5
Vitor de Oliveira Nunes dos ReisDEFGirona5900.601010160%3/5
Gleison Bremer Silva NascimentoDEFJuventus5900.601001160%3/5
Antonio Aldo CaraccioloDEFPisa5900.601110060%3/5
Granit XhakaMIDSunderland5900.601010160%3/5
Nahuel Molina LuceroDEFAtlético de Madrid5650.600011040%2/5
Jacob OndrejkaFWDParma5600.601001040%2/5
Youssef MalehMIDCremonese5630.600002020%1/5
Brennan JohnsonFWDCrystal Palace5630.600101040%2/5
Nathan LoweFWDStoke City4460.60000125%1/4
Fernando López GonzálezMIDWolverhampton Wanderers5610.591000140%2/5
Hakan ÇalhanoğluMIDInter5610.590011040%2/5

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.