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Cards

100 players · Midfielders across all five leagues · every away matches on record · minimum 5 appearances

Fouls first, then how readily the official reaches for a card. Two referees averaging four a game can do it for completely different reasons.

Next upWolverhampton WanderersvBlackburn RoversFri 14 Aug, 20:00 · in 33h

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
Facundo Valentín BuonanotteMIDLeicester City19460.830100137%7/19
Marius Mihai MarinMIDPisa10560.811111150%5/10
Karoy AndersonMIDCharlton Athletic5450.801010040%2/5
Gonzalo Villar del FraileMIDElche7500.770110043%3/7
Luke Le RouxMIDPortsmouth9460.660000133%3/9
José María Andrés BaixauliMIDVfB Stuttgart11520.631011036%4/11
Matt RitchieMIDPortsmouth18480.631011033%6/18
Rodrigo Mendoza Martinez MoyaMIDElche13460.610100031%4/13
Almoatasembellah Ali Mohamed ElmusratiMIDHellas Verona9500.610010033%3/9
Flynn DownesMIDSouthampton31730.591100048%15/31
Jordan ThompsonMIDPreston North End22560.581000036%8/22
Saša LukićMIDFulham32730.580110044%14/32
Edson Omar Álvarez VelázquezMIDWest Ham United13610.570000138%5/13
Matías Vecino FaleroMIDLazio21460.560000129%6/21
Jack ColbackMIDQueens Park Rangers13620.560011031%4/13
Nicolás Martín DomínguezMIDNottingham Forest31520.560010032%10/31
Cameron BraggMIDSouthampton10490.560011130%3/10
Antonio VergaraMIDNapoli6550.550100133%2/6
Hector KyprianouMIDWatford13780.531011146%6/13
Xaver SchlagerMIDRB Leipzig13660.531010038%5/13
Stefan Bajcetic MaquieiraMIDLas Palmas8650.520110138%3/8
Luca LipaniMIDSassuolo11490.500100127%3/11
Martín Ismael PayeroMIDCremonese26550.500010031%8/26
Jack TaylorMIDIpswich Town34480.500100126%9/34
Hannibal MejbriMIDBurnley32460.491100125%8/32
Brais Méndez PortelaMIDReal Sociedad6620.490010133%2/6
Yves BissoumaMIDTottenham Hotspur5750.480001140%2/5
Kalvin PhillipsMIDIpswich Town11680.481001136%4/11
Matty CrooksMIDHull City30700.470000037%11/30
Jean-Daniel Akpa AkproMIDHellas Verona16720.470000038%6/16
Hernani Azevedo JúniorMIDParma15520.470010127%4/15
Roberto GagliardiniMIDHellas Verona18650.461101033%6/18
Will HughesMIDCrystal Palace32610.460001028%9/32
Kieran MorganMIDQueens Park Rangers28490.460010025%7/28
Marko StamenicMIDSwansea City19730.461000037%7/19
Alessio Castro-MontesMIDFC Köln8490.460001025%2/8
Jordan ClarkMIDLuton Town22810.452000036%8/22
Carlos Baleba Noom QuomahMIDBrighton & Hove Albion30660.450000133%10/30
Sam MorsyMIDBristol City15800.450100140%6/15
Manuel Ugarte RibeiroMIDManchester United25560.450000128%7/25
Saúl Ñíguez EsclapezMIDSevilla9670.450001033%3/9
James McCleanMIDWrexham8500.451000025%2/8
Pol Lozano VizueteMIDEspanyol33610.451011030%10/33
Liam HendersonMIDEmpoli19640.440101032%6/19
Ruslan MalinovskiyMIDGenoa21580.440000129%6/21
Joe RallsMIDCardiff City11560.441000027%3/11
Renato Fabrizio Tapia CortijoMIDLeganés18700.430110133%6/18
Kenneth TaylorMIDLazio10840.431010140%4/10
Kevin ArriagaMIDLevante14600.431010029%4/14
Eric MartelMIDFC Köln16790.430100138%6/16
Enzo Jeremías FernándezMIDChelsea36840.421100139%14/36
Azzedine OunahiMIDGirona12720.420000033%4/12
Yvan Neyou NoupaMIDLeganés17760.421011035%6/17
Pelle Elkjær MattssonMIDNorwich City15870.420001140%6/15
Frenkie de JongMIDFC Barcelona28540.410000125%7/28
John LundstramMIDHull City17520.410001024%4/17
Jon Gorrotxategi EtxanizMIDReal Sociedad16690.410000131%5/16
Mario Martín RielvesMIDGetafe33600.410000127%9/33
Guido RodríguezMIDWest Ham United23580.410011026%6/23
Yangel Clemente Herrera RaveloMIDGirona23680.401000030%7/23
Alex MatosMIDOxford United15600.400000127%4/15
Mario LeminaMIDWolverhampton Wanderers8850.401000038%3/8
Liam ThompsonMIDDerby County21640.400110029%6/21
Noah SadikiMIDSunderland16850.400011038%6/16
Eliot MatazoMIDHull City5460.390010020%1/5
Antonio Sánchez NavarroMIDMallorca29480.391000021%6/29
Ibrahim SangaréMIDNottingham Forest18640.390011028%5/18
Vitaly JaneltMIDBrentford29640.391011128%8/29
Selim AmallahMIDReal Valladolid13540.390001023%3/13
Jordan Brian HendersonMIDBrentford16580.391100025%4/16
Maximo PerroneMIDComo31750.390000132%10/31
Leandro Daniel ParedesMIDRoma7670.380100029%2/7
Exequiel Alejandro PalaciosMIDBayer 04 Leverkusen19490.381000021%4/19
Malthe HöjholtMIDPisa10470.380100020%2/10
Ryan ChristieMIDAFC Bournemouth28590.380100025%7/28
Bobby ClarkMIDDerby County20710.380011030%6/20
Gustavo HamerMIDSheffield United38690.380101129%11/38
Moriba Kourouma KouroumaMIDCelta de Vigo37710.380110027%10/37
Joelinton Cassio Apolinário de LiraMIDNewcastle United26730.380101031%8/26
Pathé CissMIDRayo Vallecano31620.381010126%8/31
Mouhamadou DiarraMIDSunderland11650.380000127%3/11
Cameron BrannaganMIDOxford United33870.380100036%12/33
Justin KluivertMIDAFC Bournemouth27620.380010026%7/27
İsak VuralMIDPisa9530.370010022%2/9
Kristian ThorstvedtMIDSassuolo15800.371100033%5/15
Florian GrillitschMIDReal Valladolid9540.370001022%2/9
Donny van de BeekMIDGirona15490.370000020%3/15
Mauro Wilney Arambarri RosaMIDGetafe27820.370010033%9/27
Óscar Rodríguez ArnaizMIDLeganés16460.370000119%3/16
Imran LouzaMIDWatford36830.361011033%12/36
Emirhan İlkhanMIDTorino9550.360010022%2/9
Derek Mazou-SackoMIDMillwall11460.360010118%2/11
Unai Vencedor ParisMIDLevante8630.361000025%2/8
George DobsonMIDWrexham21730.350100129%6/21
James GarnerMIDEverton30860.350111033%10/30
Nicolai RembergMIDHamburger SV32810.350000131%10/32
Alexander RobertsonMIDCardiff City16650.350010025%4/16
Taylor Gardner-HickmanMIDBlackburn Rovers17610.350100024%4/17
Yehor YarmoliukMIDBrentford36580.340000122%8/36
Kristjan AsllaniMIDInter19550.340010121%4/19

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.