PER90My betsAccount

Shots

100 players · Players across all five leagues · every home starts on record · minimum 10 appearances

Volume, regardless of quality. A player who shoots often from bad positions and one who shoots rarely from good ones can price identically here and settle very differently.

Next upWolverhampton WanderersvBlackburn RoversFri 14 Aug, 20:00 · in 27h

What this is — the highest expected counts the model produces for shots 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

Clear all filtersNo minutes floor — a per-90 built from cameos reads far higher than what the player does in a match.
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 1.5Over 2.5
Kylian Mbappé LottinFWDReal Madrid31885.6657556100%31/3197%30/3197%30/31
Harry KaneFWDFC Bayern München27845.2351187596%26/2793%25/2781%22/27
Deniz UndavFWDVfB Stuttgart24825.117473696%23/2492%22/2483%20/24
Lamine Yamal Nasraoui EbanaFWDFC Barcelona29854.794726397%28/2997%28/2983%24/29
Alexander SørlothFWDAtlético de Madrid22744.7955274100%22/2295%21/2277%17/22
Donyell MalenFWDRoma15794.482443393%14/1593%14/1587%13/15
Raphael Dias BelloliFWDFC Barcelona25794.4555315100%25/2584%21/2572%18/25
Nikola KrstovićFWDLecce28824.273633096%27/2889%25/2875%21/28
Nicolás Paz MartínezMIDComo31884.2226347100%31/3197%30/3177%24/31
Dušan VlahovićFWDJuventus17784.204136294%16/1788%15/1771%12/17
Moise Bioty KeanFWDFiorentina27874.162582796%26/2793%25/2774%20/27
Omar MarmoushFWDManchester City21814.1535233100%21/21100%21/2167%14/21
Erling HålandFWDManchester City30874.1355242100%30/3083%25/3060%18/30
Hugo EkitikeFWDEintracht Frankfurt27824.122366493%25/2793%25/2770%19/27
Patrik SchickFWDBayer 04 Leverkusen21783.944952495%20/2181%17/2157%12/21
Cole PalmerMIDChelsea32863.913544397%31/3291%29/3272%23/32
Lautaro Javier MartínezFWDInter28823.8943131100%28/2886%24/2879%22/28
Degnand Wilfried GnontoFWDLeeds United15743.8823543100%15/1593%14/1580%12/15
Michael OliseFWDFC Bayern München26813.8766125100%26/2688%23/2662%16/26
Daniel Olmo CarvajalMIDFC Barcelona18703.8412331100%18/1883%15/1861%11/18
Serge GnabryFWDFC Bayern München12693.7873722100%12/1283%10/1242%5/12
Vedat MuriqiFWDMallorca33823.6910552291%30/3373%24/3352%17/33
Álvaro Daniel Rodríguez MuñozFWDElche15773.682724487%13/1580%12/1553%8/15
Eberechi EzeMIDCrystal Palace25813.643337392%23/2588%22/2564%16/25
Jamal MusialaMIDFC Bayern München14783.642133393%13/1486%12/1464%9/14
Mateo ReteguiFWDAtalanta17723.633261394%16/1776%13/1759%10/17
Ante BudimirFWDOsasuna36853.625932394%34/3683%30/3672%26/36
Daniel JamesFWDLeeds United16793.622124394%15/1688%14/1656%9/16
Riccardo OrsoliniFWDBologna26733.614463292%24/2677%20/2658%15/26
Valentín Mariano José Castellanos GiménezFWDLazio28803.604215089%25/2879%22/2854%15/28
Matheus Santos Carneiro Da CunhaFWDWolverhampton Wanderers29833.5543422100%29/2990%26/2952%15/29
Bukayo SakaFWDArsenal23833.5432413100%23/2378%18/2357%13/23
Juan Camilo Hernández SuárezFWDReal Betis23833.5345434100%23/2391%21/2374%17/23
Rocco VataFWDWatford12753.5015714100%12/1267%8/1250%6/12
Daniel Fernando Mosquera BonillaFWDHellas Verona10673.4823344100%10/1080%8/1060%6/10
Ferrán Torres GarcíaFWDFC Barcelona16743.4821212100%16/1675%12/1656%9/16
Rafael Mir VicenteFWDElche14833.4822252100%14/1486%12/1457%8/14
Ademola LookmanFWDAtalanta26763.483343292%24/2688%23/2662%16/26
Fisnik AsllaniFWDTSG Hoffenheim15763.4732243100%15/1587%13/1567%10/15
Josh WindassMIDSheffield Wednesday33793.467441197%32/3382%27/3352%17/33
Haji WrightFWDCoventry City29813.462533393%27/2972%21/2952%15/29
Marcus RashfordFWDManchester United15763.462836873%11/1567%10/1540%6/15
Said El MalaFWDFC Köln10843.45210331100%10/1080%8/1060%6/10
Víctor Muñoz VillanuevaFWDOsasuna17833.444147794%16/1776%13/1759%10/17
Francisco Fernandes ConceiçãoFWDJuventus19773.443442389%17/1979%15/1963%12/19
Josh MurphyFWDPortsmouth27863.434438496%26/2789%24/2752%14/27
Nestory IrankundaFWDWatford13773.436471185%11/1362%8/1346%6/13
Antony Matheus dos SantosFWDReal Betis24843.4253273100%24/2492%22/2463%15/24
Gift Emmanuel OrbanFWDHellas Verona17783.385222494%16/1776%13/1747%8/17
Chukwunonso MaduekeFWDChelsea21723.372021286%18/2171%15/2143%9/21
Serhou GuirassyFWDBorussia Dortmund26873.3614338100%26/2681%21/2650%13/26
Fermín López MarínMIDFC Barcelona15733.3532513100%15/1573%11/1547%7/15
Harry WilsonFWDFulham23803.331362191%21/2370%16/2352%12/23
Morgan WhittakerFWDMiddlesbrough35813.323532094%33/3577%27/3563%22/35
Alexander IsakFWDNewcastle United22833.301312395%21/2277%17/2259%13/22
Giovanni Pablo SimeoneFWDTorino14803.3014454100%14/1471%10/1464%9/14
Joël PiroeFWDLeeds United18823.293147589%16/1878%14/1856%10/18
Francisco Román Alarcón SuárezMIDReal Betis11803.2923261100%11/1182%9/1145%5/11
Vinícius José Paixão de Oliveira JúniorFWDReal Madrid30843.2824551100%30/3083%25/3063%19/30
Ollie WatkinsFWDAston Villa33813.266452397%32/3379%26/3352%17/33
Harvey Lewis BarnesFWDNewcastle United19803.242213395%18/1984%16/1953%10/19
Rodrigo Muniz CarvalhoFWDFulham10783.2433421100%10/1080%8/1050%5/10
Sonny CareyMIDCharlton Athletic20833.2421233100%20/2085%17/2065%13/20
Alexis Claude MauriceMIDFC Augsburg26823.242545496%25/2673%19/2658%15/26
Sergio Camello PérezFWDRayo Vallecano13643.235331177%10/1362%8/1346%6/13
Abdessamad EzzalzouliFWDReal Betis23833.221322191%21/2383%19/2365%15/23
Scott McTominayMIDNapoli32893.2234101197%31/3288%28/3263%20/32
Ilias ChairMIDQueens Park Rangers15753.211742293%14/1567%10/1553%8/15
Antoine SemenyoFWDAFC Bournemouth37883.2011213100%37/3778%29/3759%22/37
Adam HložekFWDTSG Hoffenheim12803.191246292%11/1267%8/1242%5/12
Giovane Santana do NascimentoFWDHellas Verona11803.182213291%10/1182%9/1145%5/11
Kai HavertzFWDArsenal16803.173020388%14/1675%12/1650%8/16
Kieffer MooreFWDWrexham26853.1723531100%26/2685%22/2662%16/26
Ibrahim MazaMIDBayer 04 Leverkusen11833.167253082%9/1182%9/1155%6/11
Michael JohnstonFWDWest Bromwich Albion30793.165312190%27/3073%22/3050%15/30
Michael GregoritschFWDFC Augsburg10743.154321590%9/1080%8/1040%4/10
Bruno Miguel Borges FernandesMIDManchester United34873.155201385%29/3474%25/3459%20/34
Georges MikautadzeFWDVillarreal14803.153162693%13/1479%11/1443%6/14
Ermedin DemirovićFWDVfB Stuttgart19803.136225495%18/1984%16/1947%9/19
Finn AzazMIDMiddlesbrough40793.123614385%34/4073%29/4057%23/40
Gorka Guruzeta RodríguezFWDAthletic Club25753.114423096%24/2564%16/2552%13/25
Christoph BaumgartnerMIDRB Leipzig23833.1145432100%23/2383%19/2357%13/23
Nicolas JacksonFWDChelsea21793.094232095%20/2171%15/2138%8/21
Marvin DuckschFWDBirmingham City30753.082733390%27/3070%21/3053%16/30
Demarai GrayFWDBirmingham City13743.0821253100%13/1385%11/1346%6/13
Sam GreenwoodMIDPreston North End15743.082251087%13/1567%10/1547%7/15
Pape GueyeMIDVillarreal25773.072135496%24/2580%20/2556%14/25
Jay StansfieldFWDBirmingham City23823.072522296%22/2387%20/2348%11/23
Mohamed El Amine AmouraFWDVfL Wolfsburg25833.063420896%24/2576%19/2552%13/25
Thomas Christopher CannonFWDStoke City23833.066122291%21/2374%17/2352%12/23
Scott TwineMIDBristol City36753.054300286%31/3656%20/3644%16/36
Zian FlemmingFWDBurnley24783.042525488%21/2475%18/2446%11/24
Florian WirtzMIDBayer 04 Leverkusen25843.042201196%24/2576%19/2548%12/25
Ellis SimmsFWDCoventry City17773.032611588%15/1765%11/1741%7/17
Mbala N'ZolaFWDPisa10833.0323235100%10/1090%9/1060%6/10
Jaden Philogene-BidaceFWDIpswich Town18763.034104389%16/1872%13/1856%10/18
Ryan HardieFWDPlymouth Argyle14743.024144593%13/1471%10/1450%7/14
Alejandro Garnacho FerreyraFWDManchester United20743.023010185%17/2060%12/2045%9/20
Nicolò ZanioloFWDUdinese16803.0264113100%16/1663%10/1650%8/16
Kenan YildizFWDJuventus32823.024223494%30/3278%25/3244%14/32

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.