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Shots

100 players · Players across all five leagues · every away matches on record · minimum 20 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 31h

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

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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
Lamine Yamal Nasraoui EbanaFWDFC Barcelona30864.3571755100%30/3087%26/3077%23/30
Kylian Mbappé LottinFWDReal Madrid32864.325362491%29/3284%27/3278%25/32
Omar MarmoushFWDManchester City27564.311124285%23/2756%15/2744%12/27
Nikola KrstovićFWDLecce35694.033226397%34/3577%27/3554%19/35
Dušan VlahovićFWDJuventus21593.795703581%17/2171%15/2148%10/21
Patrick BamfordFWDSheffield United24373.721433171%17/2442%10/2433%8/24
Harry KaneFWDFC Bayern München30783.683113393%28/3080%24/3057%17/30
Deniz UndavFWDVfB Stuttgart28693.6712434100%28/2861%17/2850%14/28
Carlos AlcarazMIDEverton22423.661100573%16/2236%8/2227%6/22
Antonio Martínez LópezFWDDeportivo Alavés32573.571263681%26/3256%18/3241%13/32
Luis Fernando Díaz MarulandaFWDFC Bayern München21753.531024495%20/2186%18/2157%12/21
Valentín Mariano José Castellanos GiménezFWDLazio29763.468531186%25/2966%19/2962%18/29
Matheus Santos Carneiro Da CunhaFWDWolverhampton Wanderers33793.455223197%32/3379%26/3358%19/33
Moise Bioty KeanFWDFiorentina29813.441212293%27/2972%21/2952%15/29
Lautaro Javier MartínezFWDInter30803.420134487%26/3073%22/3063%19/30
Ferrán Torres GarcíaFWDFC Barcelona29523.392023176%22/2948%14/2924%7/29
Donyell MalenFWDRoma20563.373533285%17/2060%12/2045%9/20
Largie RamazaniFWDLeeds United25443.352045368%17/2544%11/2532%8/25
Erling HålandFWDManchester City35883.3323544100%35/3586%30/3557%20/35
Rafael Mir VicenteFWDElche23523.274220287%20/2365%15/2317%4/23
Riccardo OrsoliniFWDBologna32623.262130684%27/3259%19/3234%11/32
Cristhian Ricardo Stuani CurbeloFWDGirona25223.252120056%14/2524%6/250%0/25
Nicolás Paz MartínezMIDComo35793.251252297%34/3583%29/3557%20/35
Hugo EkitikeFWDEintracht Frankfurt29713.250133090%26/2962%18/2952%15/29
Paulo Bruno Exequiel DybalaFWDRoma23563.245005278%18/2357%13/2330%7/23
Michael OliseFWDFC Bayern München33703.173123285%28/3373%24/3358%19/33
Vinícius José Paixão de Oliveira JúniorFWDReal Madrid33743.152142191%30/3361%20/3342%14/33
Jonathan BurkardtFWDFSV Mainz 0524663.131012292%22/2467%16/2438%9/24
Gift Emmanuel OrbanFWDHellas Verona21613.103450281%17/2157%12/2129%6/21
Patrik SchickFWDBayer 04 Leverkusen29643.100325276%22/2955%16/2941%12/29
Fermín López MarínMIDFC Barcelona25553.093320580%20/2552%13/2536%9/25
Serge GnabryFWDFC Bayern München26553.083212377%20/2654%14/2635%9/26
Rodrigo Riquelme RecheFWDReal Betis22333.070320259%13/2236%8/2214%3/22
Richarlison de AndradeFWDTottenham Hotspur26513.063223581%21/2654%14/2623%6/26
Andrej IlićFWDFC Union Berlin24673.045260288%21/2454%13/2433%8/24
Alejandro Garnacho FerreyraFWDManchester United29563.042030069%20/2952%15/2931%9/29
Ellis SimmsFWDCoventry City43513.033016267%29/4344%19/4328%12/43
Jamal MusialaMIDFC Bayern München20633.023332190%18/2060%12/2035%7/20
Ayoze Pérez GutiérrezFWDVillarreal27573.011312174%20/2752%14/2733%9/27
Nicolas JacksonFWDChelsea24603.002372079%19/2458%14/2438%9/24
Raphael Dias BelloliFWDFC Barcelona28763.000421496%27/2864%18/2850%14/28
Leonardo Weschenfelder-ScienzaMIDSouthampton28622.962411193%26/2854%15/2832%9/28
Daniel Fernando Mosquera BonillaFWDHellas Verona28332.940120064%18/2821%6/287%2/28
Eberechi EzeMIDCrystal Palace34662.921310574%25/3450%17/3441%14/34
Liam MillarFWDHull City21602.920244076%16/2162%13/2138%8/21
George HirstFWDIpswich Town35412.910103466%23/3543%15/3517%6/35
Rodrigo Muniz CarvalhoFWDFulham26332.901003165%17/2627%7/2615%4/26
Lois OpendaFWDRB Leipzig29512.900011069%20/2948%14/2924%7/29
Daniel William John IngsFWDSheffield United20222.892000055%11/2015%3/200%0/20
Patrick CutroneFWDComo22652.881201286%19/2259%13/2236%8/22
Borja Sainz EguskizaFWDNorwich City20882.872011790%18/2070%14/2045%9/20
David BrooksFWDAFC Bournemouth31352.860001255%17/3132%10/3116%5/31
Giovanni Pablo SimeoneFWDTorino34412.844302662%21/3432%11/3424%8/34
Gorka Guruzeta RodríguezFWDAthletic Club35592.834214086%30/3560%21/3523%8/35
Marcus ThuramFWDInter29682.812431497%28/2955%16/2938%11/29
Morgan WhittakerFWDMiddlesbrough40712.814610380%32/4050%20/4043%17/40
Alexander IsakFWDNewcastle United22712.811113195%21/2259%13/2245%10/22
Antony Matheus dos SantosFWDReal Betis28652.802301186%24/2850%14/2832%9/28
Armindo SiebFWDFSV Mainz 0525292.770101048%12/2524%6/2512%3/25
Jaden Philogene-BidaceFWDIpswich Town28442.763231264%18/2846%13/2821%6/28
Gustav Tang IsaksenFWDLazio33552.760312079%26/3355%18/3324%8/33
Alfonso González MartínezFWDCelta de Vigo27432.740013174%20/2733%9/2719%5/27
Daniel JamesFWDLeeds United28632.720100264%18/2854%15/2839%11/28
Enrique García MartínezFWDEspanyol35592.722041071%25/3543%15/3534%12/35
Juan Camilo Hernández SuárezFWDReal Betis22802.712002491%20/2277%17/2236%8/22
Nelson Felix Patrick WeiperFWDFSV Mainz 0523252.700000235%8/2322%5/234%1/23
Anis MehmetiMIDBristol City46662.700320474%34/4659%27/4633%15/46
Taiwo Michael AwoniyiFWDNottingham Forest20202.701201045%9/2015%3/200%0/20
Brandon Thomas-AsanteFWDCoventry City36492.704031061%22/3633%12/3622%8/36
Zian FlemmingFWDBurnley32692.690013184%27/3253%17/3238%12/32
Marcus RashfordFWDFC Barcelona30572.690311270%21/3047%14/3030%9/30
Robin HackFWDBorussia Mönchengladbach21612.682003571%15/2152%11/2129%6/21
Benjamin ŠeškoFWDRB Leipzig31652.681021284%26/3145%14/3129%9/31
Finn AzazMIDMiddlesbrough47772.680135087%41/4766%31/4740%19/47
Serhou GuirassyFWDBorussia Dortmund32812.678010291%29/3269%22/3244%14/32
Lorenzo LuccaFWDUdinese26562.671010062%16/2654%14/2631%8/26
Chukwunonso MaduekeFWDChelsea30542.674000363%19/3043%13/3027%8/30
Cody Mathès GakpoFWDLiverpool36672.652552483%30/3658%21/3631%11/36
Shuto MachinoFWDHolstein Kiel32432.652000469%22/3228%9/3216%5/32
Million ManhoefFWDStoke City39632.641122077%30/3949%19/3923%9/39
Ademola LookmanFWDAtalanta25642.640112172%18/2548%12/2528%7/25
Nicolò ZanioloFWDUdinese27532.641322081%22/2752%14/2719%5/27
Karim AdeyemiFWDBorussia Dortmund25402.630111056%14/2528%7/2512%3/25
Dominic Calvert-LewinFWDLeeds United30662.632205383%25/3050%15/3033%10/30
Scott TwineMIDBristol City39682.634038074%29/3956%22/3936%14/39
Antoine SemenyoFWDAFC Bournemouth37852.631225197%36/3770%26/3741%15/37
Josh WindassMIDSheffield Wednesday43652.622301681%35/4349%21/4328%12/43
Vítor Manuel Carvalho OliveiraFWDGenoa30612.622213283%25/3057%17/3023%7/30
Cole PalmerMIDChelsea31782.623012190%28/3165%20/3139%12/31
Bukayo SakaFWDArsenal27702.612251089%24/2767%18/2730%8/27
Lorenzo ColomboFWDEmpoli38632.611135076%29/3855%21/3829%11/38
Samuel EssendeFWDFC Augsburg23502.601223270%16/2352%12/2313%3/23
Joël PiroeFWDLeeds United28612.602002068%19/2850%14/2829%8/28
Nicolás Iván GonzálezFWDJuventus25682.603044188%22/2552%13/2536%9/25
Haji WrightFWDCoventry City35652.590112280%28/3551%18/3529%10/35
Francisco Fernandes ConceiçãoFWDJuventus31582.593141384%26/3145%14/3123%7/31
Philip FodenMIDManchester City30592.580100063%19/3047%14/3030%9/30
Wilson IsidorFWDSunderland40542.581011075%30/4048%19/4020%8/40
Justin NjinmahFWDWerder Bremen30472.576012063%19/3037%11/3017%5/30
Yussuf Yurary PoulsenFWDRB Leipzig20182.570000030%6/2015%3/205%1/20

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.