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Shots

79 players · Forwards in the Serie A · every home matches 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 34h

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

19 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 1.5 — share of appearances beating that line
PlayerTeamAppsMins/appPer 90Last 5 matchesOver 0.5Over 1.5Over 2.5
Nikola KrstovićFWDLecce35704.643633791%32/3583%29/3569%24/35
Dušan VlahovićFWDJuventus27564.324301385%23/2767%18/2748%13/27
Gianluca ScamaccaFWDAtalanta13554.250261385%11/1362%8/1354%7/13
Moise Bioty KeanFWDFiorentina29834.172582293%27/2990%26/2969%20/29
Valentín Mariano José Castellanos GiménezFWDLazio20784.151223695%19/2085%17/2055%11/20
Lautaro Javier MartínezFWDInter31763.9341313100%31/3181%25/3171%22/31
Gift Emmanuel OrbanFWDHellas Verona14783.8752224100%14/1486%12/1457%8/14
Riccardo OrsoliniFWDBologna33613.780446385%28/3370%23/3352%17/33
Mateo ReteguiFWDAtalanta19663.663261395%18/1968%13/1953%10/19
Giovanni Pablo SimeoneFWDTorino28453.431445468%19/2843%12/2832%9/28
Ademola LookmanFWDAtalanta24733.392433292%22/2483%20/2450%12/24
Francisco Fernandes ConceiçãoFWDJuventus26633.353442385%22/2658%15/2646%12/26
Giovane Santana do NascimentoFWDHellas Verona17593.242112082%14/1759%10/1729%5/17
Federico BernardeschiFWDBologna14473.142402386%12/1457%8/1414%2/14
Duván Esteban Zapata BangueraFWDTorino19493.121231289%17/1942%8/1921%4/19
Marcus ThuramFWDInter32703.113225191%29/3275%24/3250%16/32
Roberto PiccoliFWDCagliari35683.093010380%28/3557%20/3546%16/35
Federico BonazzoliFWDCremonese16753.082238394%15/1669%11/1644%7/16
Rafael Alexandre Conceição LeãoFWDAC Milan29753.040318286%25/2966%19/2934%10/29
Kenan YildizFWDJuventus38723.014202387%33/3868%26/3837%14/38
Jonathan DavidFWDJuventus16552.962212175%12/1650%8/1631%5/16
Santiago Tomás GiménezFWDAC Milan14552.932201379%11/1450%7/1429%4/14
Nicolò ZanioloFWDUdinese28542.896411375%21/2839%11/2829%8/28
Andrea PinamontiFWDGenoa36742.863011192%33/3661%22/3642%15/36
Jon RoweFWDBologna14612.852130086%12/1471%10/1429%4/14
Paulo Bruno Exequiel DybalaFWDRoma23652.831104278%18/2352%12/2339%9/23
Florian Tristán Mariano ThauvinFWDUdinese12812.777611392%11/1258%7/1242%5/12
Jacob OndrejkaFWDParma13452.751500154%7/1338%5/1323%3/13
Patrick CutroneFWDComo26582.741012085%22/2646%12/2635%9/26
Dennis ManFWDParma17562.724011176%13/1747%8/1729%5/17
Mbala N'ZolaFWDPisa17582.722321071%12/1753%9/1735%6/17
Artem DovbykFWDRoma22572.712011282%18/2241%9/2227%6/22
Santiago Thomas CastroFWDBologna36612.703212272%26/3661%22/3631%11/36
Anastasios DouvikasFWDComo26602.674121185%22/2646%12/2623%6/26
Jesús Rodríguez CaraballoFWDComo17542.640010382%14/1741%7/1718%3/17
Dan NdoyeFWDBologna16712.622211381%13/1656%9/1631%5/16
Christian PulisicFWDAC Milan31682.593031187%27/3152%16/3129%9/31
Valentin Mihai MihăilăFWDParma10632.5833111100%10/1040%4/1030%3/10
Lorenzo LuccaFWDUdinese24562.541110188%21/2446%11/2421%5/24
Assane Diao DiaouneFWDComo16722.504433275%12/1663%10/1644%7/16
Mateo Pellegrino CasalanguilaFWDParma24762.503122475%18/2463%15/2438%9/24
Casper TengstedtFWDHellas Verona15612.460011667%10/1540%6/1520%3/15
Álvaro Borja Morata MartínFWDComo24462.451001175%18/2429%7/2413%3/24
Romelu Lukaku MenamaFWDNapoli20732.400033185%17/2055%11/2030%6/20
Che AdamsFWDTorino34712.392021076%26/3459%20/3426%9/34
Joel PohjanpaloFWDVenezia11862.3722421100%11/1173%8/1136%4/11
Armand LaurienteFWDSassuolo19682.364130463%12/1953%10/1937%7/19
Vítor Manuel Carvalho OliveiraFWDGenoa30592.302133180%24/3043%13/3023%7/30
Albert GudmundssonFWDFiorentina27632.210154070%19/2744%12/2722%6/27
Lameck BandaFWDLecce25472.163013172%18/2528%7/2512%3/25
Lorenzo ColomboFWDGenoa37602.160022270%26/3743%16/3722%8/37
Gianluca CaprariFWDMonza17472.152321053%9/1729%5/1718%3/17
Stefano MoreoFWDPisa19612.111230374%14/1942%8/1921%4/19
Rasmus Winther HøjlundFWDNapoli16852.112043288%14/1663%10/1631%5/16
Keinan DavisFWDUdinese26622.111040065%17/2646%12/2627%7/26
Nicolás Iván GonzálezFWDJuventus14612.111321179%11/1443%6/1414%2/14
Sebastiano EspositoFWDCagliari35782.102413383%29/3557%20/3526%9/35
Ange-Yoan BonnyFWDParma36532.071000075%27/3636%13/366%2/36
Gustav Tang IsaksenFWDLazio34592.073102474%25/3441%14/3415%5/34
Matìas Soulè MalvanoFWDRoma31662.061020281%25/3152%16/3110%3/31
Matteo PolitanoFWDNapoli37702.033001178%29/3741%15/3730%11/37
Riccardo SottilFWDLecce20472.010120065%13/2025%5/2015%3/20
Gabriel Tadeu Strefezza RebelatoFWDComo24741.985211392%22/2446%11/2417%4/24
Dany Mota CarvalhoFWDMonza18661.901123178%14/1839%7/1817%3/18
David Neres CamposFWDNapoli22521.870020264%14/2236%8/225%1/22
Nikola ŠtulićFWDLecce18461.850102056%10/1833%6/186%1/18
Mattia ZaccagniFWDLazio28821.810131079%22/2846%13/2836%10/28
José Antonio Morente OlivaFWDLecce26611.640011069%18/2615%4/2612%3/26
Matteo CancellieriFWDLazio28551.631010064%18/2821%6/2814%4/28
Jamie VardyFWDCremonese14801.600125264%9/1443%6/1414%2/14
Zito André Sebastiao LuvumboFWDCagliari18541.590003261%11/1822%4/1811%2/18
Domenico BerardiFWDSassuolo14751.541320071%10/1436%5/1421%3/14
Boulaye DiaFWDLazio30531.520100067%20/3020%6/303%1/30
Santiago PierottiFWDLecce37621.301122151%19/3732%12/375%2/37
Lucas BeltránFWDFiorentina16571.190000344%7/1625%4/166%1/16
Alieu FaderaFWDComo31471.170000142%13/3116%5/313%1/31
Henrik Wendel MeisterFWDPisa12531.140000033%4/1225%3/128%1/12
Mehdi Pascal Marcel LérisFWDPisa18511.081100039%7/1817%3/186%1/18
Arnaldo Antonio Sanabria AyalaFWDTorino23470.920110039%9/239%2/230%0/23

79 players. 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.