PER90

Cards

100 players · Players across all five leagues · every home starts on record · 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 17h

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
Adam David LallanaMIDSouthampton3471.2710167%2/3
Philip OteleFWDHamburger SV3620.9711067%2/3
İsak VuralMIDPisa3670.8901167%2/3
Niakhate NdiayeDEFParma4790.85101175%3/4
Ben PearsonMIDStoke City17760.840111171%12/17
Alejandro San Cristóbal SánchezFWDGetafe3730.8210167%2/3
Scott WhartonDEFBlackburn Rovers3750.8011067%2/3
Nicolas FonsecaMIDReal Oviedo5690.780111060%3/5
Antoine HainautDEFParma3800.7511067%2/3
Nianzou Tanguy KouassiDEFSevilla3800.7511067%2/3
Sivert Heggheim MannsverkMIDCardiff City5750.721001160%3/5
Nikolas VeratschnigDEFFSV Mainz 054630.72100150%2/4
Sergi Roberto CarnicerMIDComo7600.670001143%3/7
Francesco CoppolaDEFPisa3900.6701167%2/3
Enzo BarrenecheaMIDValencia7780.660101157%4/7
Thiago Pitarch PinarMIDReal Madrid4680.66110050%2/4
Giovanni ReynaMIDBorussia Dortmund4700.65001150%2/4
Dario Cassia Luis EssugoMIDLas Palmas14720.630101043%6/14
Alejandro Rego MoraMIDAthletic Club6720.631010050%3/6
Raúl Albiol TortajadaDEFVillarreal5880.611001160%3/5
Harvey KnibbsMIDCharlton Athletic3490.6100133%1/3
Álvaro Djaló Dias FernandesFWDAthletic Club5590.611100040%2/5
Pontus AlmqvistFWDParma5610.590101040%2/5
Adam DźwigałaDEFSt. Pauli6770.590011050%3/6
Marc Bernal CasasMIDFC Barcelona7660.580001143%3/7
Fernando López GonzálezMIDCelta de Vigo5630.581001040%2/5
Unknown player 477098Las Palmas15840.570001247%7/15
Noahkai Kai Daniel BanksDEFFC Augsburg13850.570101154%7/13
John BuckleyMIDBlackburn Rovers4790.57110050%2/4
César Azpilicueta TancoDEFSevilla5640.571010040%2/5
Tiago Tomás PalaciosDEFMonza4800.57011050%2/4
Zachary AthekameDEFAC Milan3530.5700133%1/3
Marcos André de Sousa MendonçaFWDReal Valladolid4800.56001150%2/4
Luca PellegriniDEFLazio16800.560111150%8/16
John LundstramMIDHull City7720.551000143%3/7
James MaddisonMIDTottenham Hotspur9740.540100022%2/9
Tim IroegbunamMIDEverton13760.541001046%6/13
Yvan Neyou NoupaMIDLeganés12840.540110150%6/12
Igor Julio dos Santos de PauloDEFBrighton & Hove Albion4840.54001150%2/4
Rodrigo Bentancur ColmánMIDTottenham Hotspur23730.530001143%10/23
Mateo KovačićMIDManchester City11770.531000145%5/11
Andrew MoranMIDStoke City17800.531000141%7/17
Paddy McNairDEFHull City5690.531010040%2/5
Tijanni NoslinFWDLazio9770.521100144%4/9
Naif AguerdDEFReal Sociedad5690.520010140%2/5
Bertuğ Özgür YıldırımFWDGetafe5690.521100040%2/5
Jean-Daniel Akpa AkproMIDHellas Verona16760.520011044%7/16
Kevin VogtDEFFC Union Berlin9780.510100144%4/9
Wesley FofanaDEFChelsea17850.500001141%7/17
Taylor Gardner-HickmanMIDBlackburn Rovers12750.501000042%5/12
Andrea BelottiFWDCagliari3610.4900133%1/3
Pascal StenzelDEFVfB Stuttgart3610.4910033%1/3
Paweł DawidowiczDEFHellas Verona13720.491010038%5/13
Nicolò ZanioloFWDUdinese16800.490101044%7/16
Yakou MeïtéFWDCardiff City3620.4910033%1/3
Tyler AdamsMIDAFC Bournemouth20840.481011145%9/20
Djibril SoumaréMIDSheffield United5760.470011040%2/5
Konrad LaimerDEFFC Bayern München19810.471100042%8/19
Kevin ArriagaMIDLevante7820.470101143%3/7
Jamie McDonnellMIDOxford United3640.4700133%1/3
Jorge Cuenca BarrenoDEFFulham7830.471010143%3/7
Kalvin PhillipsMIDIpswich Town8730.461100138%3/8
Jack ColbackMIDQueens Park Rangers7840.461010043%3/7
Jayden MeghomaDEFPreston North End3660.4600133%1/3
Matúš BeroMIDVfL Bochum 184816860.460110144%7/16
Jorrel HatoDEFChelsea5790.461100040%2/5
Pathé CissMIDRayo Vallecano27810.450011041%11/27
Pere Milla PeñaFWDEspanyol11720.450000036%4/11
Niels NkounkouDEFEintracht Frankfurt3670.4501033%1/3
Valentin CarboniMIDGenoa3670.4510033%1/3
Ondrej DudaMIDHellas Verona14870.441000036%5/14
Jahmai Simpson-PuseyDEFFC Köln5810.440110040%2/5
Unai Elgezabal UdondoDEFLevante5810.440110040%2/5
Olivier BoscagliDEFBrighton & Hove Albion5810.440100140%2/5
Tajon BuchananFWDVillarreal11740.440110136%4/11
João Maria Lobo Alves Palhinha GonçalvesMIDTottenham Hotspur13780.441100038%5/13
Joelinton Cassio Apolinário de LiraMIDNewcastle United29840.440110141%12/29
Edoardo GoldanigaDEFComo14880.440001036%5/14
Kwadwo BaahFWDWatford9700.441000133%3/9
Lautaro Rodrigo ValentiDEFParma22840.441001141%9/22
Christopher TrimmelDEFFC Union Berlin18800.441000139%7/18
Tidiam GomisFWDRB Leipzig3690.4400133%1/3
Enrique Pérez MuñozMIDReal Valladolid13790.440010038%5/13
Djené Dakonam OrtegaDEFGetafe32780.440110141%13/32
Jacob OndrejkaFWDParma6690.431010033%2/6
Pol Lozano VizueteMIDEspanyol28740.430100136%10/28
Beñat Turrientes ImazMIDReal Sociedad13640.431001031%4/13
Tamás NikitscherMIDReal Valladolid5840.430001140%2/5
Bernardo Mota Veiga de Carvalho e SilvaMIDManchester City29870.430010041%12/29
Nemanja MatićMIDSassuolo16790.430100138%6/16
José Manuel Arias CopeteDEFValencia14900.431000143%6/14
Nilson David Angulo RamírezFWDSunderland3700.4310033%1/3
Mohamed ToureFWDNorwich City4550.43010025%1/4
Josip JuranovićDEFFC Union Berlin8790.430001138%3/8
Anuar Mohamed TuhamiFWDReal Valladolid11770.420010036%4/11
Vitor de Oliveira Nunes dos ReisDEFGirona17870.421010141%7/17
Dominik KohrDEFFSV Mainz 0529820.420100038%11/29
Ryan YatesMIDNottingham Forest10860.420011040%4/10
Gvidas GineitisMIDTorino18720.420100033%6/18
Domingos Sousa Coutinho Meneses DuarteDEFGetafe17890.420101041%7/17

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.