Shots on target

100 players · Defenders across all five leagues · every home matches on record · minimum 10 appearances

Shot volume filtered through accuracy. The widest spread of any market on this board — roughly thirty-six times between the highest and lowest rates.

Next upWolverhampton WanderersvBlackburn RoversFri 14 Aug, 20:00 · in 35h

Shots on target

trends →

Adam Armstrong82′ · n=140.7149% o0.5
Yuki Ohashi69′ · n=820.5440% o0.5
Andri Lucas Guojohnsen62′ · n=250.5439% o0.5
Toluwalase Emmanuel Arokodare43′ · n=330.5134% o0.5
Mathias Jörgensen55′ · n=200.4936% o0.5

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

All leagues Bundesliga Championship La Liga Premier League Serie A

Team

93 with stats on record

Position

All Goalkeepers Defenders Midfielders Forwards

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Per 90 Over 1.5 Total Appearances

Match window

All Last 5 Last 10 Last 20

Venue

All Home Away

Role

Any Started only

Min. apps

3 5 10 20

Mins / app

45+60+Any

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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

Player	Team	Apps	Mins/app	Per 90	Last 5 matches	Over 0.5	Over 1.5
Federico DimarcoDEF	Inter	35	77	0.87	00100	60%21/35	9%3/35
Alejandro Grimaldo GarcíaDEF	Bayer 04 Leverkusen	32	84	0.77	10040	44%14/32	19%6/32
Ozan Muhammed KabakDEF	TSG Hoffenheim	13	72	0.77	00101	38%5/13	15%2/13
Raphaël Adelino José GuerreiroDEF	FC Bayern München	23	61	0.77	01001	43%10/23	9%2/23
Kevin DiksDEF	Borussia Mönchengladbach	16	80	0.71	10110	56%9/16	6%1/16
Denzel DumfriesDEF	Inter	24	76	0.69	00000	42%10/24	17%4/24
Theo Bernard François HernándezDEF	AC Milan	15	79	0.68	10110	53%8/15	7%1/15
Florian LejeuneDEF	Rayo Vallecano	37	90	0.68	12100	57%21/37	11%4/37
Lukas KüblerDEF	SC Freiburg	26	67	0.67	00000	42%11/26	8%2/26
Brad PottsDEF	Preston North End	21	65	0.66	01101	43%9/21	5%1/21
Daniel Muñoz MejíaDEF	Crystal Palace	32	85	0.63	10020	44%14/32	16%5/32
Jeremie FrimpongDEF	Bayer 04 Leverkusen	28	61	0.63	01000	32%9/28	11%3/28
Patrick Chinazaekpere DorguDEF	Manchester United	28	67	0.63	10203	29%8/28	14%4/28
Josha Mamadou Karaboue VagnomannDEF	VfB Stuttgart	25	65	0.61	00012	36%9/25	8%2/25
Daniel BallardDEF	Sunderland	26	69	0.60	00000	38%10/26	8%2/26
Riccardo CalafioriDEF	Arsenal	18	69	0.58	01102	28%5/18	11%2/18
Stefan BellDEF	FSV Mainz 05	17	68	0.55	12100	35%6/17	6%1/17
Curtis NelsonDEF	Derby County	14	84	0.54	10101	50%7/14	0%0/14
Tom RotheDEF	FC Union Berlin	22	62	0.53	01010	32%7/22	5%1/22
Ross McCrorieDEF	Bristol City	32	70	0.53	00110	31%10/32	9%3/32
Yann Aurel BisseckDEF	Inter	20	70	0.52	00011	40%8/20	0%0/20
Nico O'ReillyDEF	Manchester City	20	80	0.51	00210	30%6/20	15%3/20
Cristian Gabriel RomeroDEF	Tottenham Hotspur	21	76	0.51	00100	33%7/21	10%2/21
Samuele BirindelliDEF	Monza	11	66	0.50	10001	27%3/11	9%1/11
Martin FreseDEF	Hellas Verona	21	69	0.49	01020	33%7/21	5%1/21
Harrison BurrowsDEF	Sheffield United	45	73	0.49	01110	36%16/45	4%2/45
Caleb TaylorDEF	Millwall	14	79	0.49	00001	43%6/14	0%0/14
Wesley Vinicius França LimaDEF	Roma	16	82	0.48	11100	38%6/16	6%1/16
Ridle Bote BakuDEF	RB Leipzig	34	72	0.48	01200	32%11/34	6%2/34
Luka VuškovićDEF	Hamburger SV	15	90	0.47	20010	40%6/15	7%1/15
Denis VavroDEF	VfL Wolfsburg	21	84	0.46	10110	38%8/21	5%1/21
Anthony CaciDEF	FSV Mainz 05	21	75	0.46	00000	38%8/21	0%0/21
Macaulay GillespheyDEF	Charlton Athletic	16	62	0.46	10001	31%5/16	0%0/16
Elliott Jordan MooreDEF	Oxford United	15	80	0.45	20100	33%5/15	7%1/15
Kouassi Ryan SessegnonDEF	Fulham	20	61	0.45	10000	30%6/20	0%0/20
Giorgos KiriakopoulosDEF	Monza	17	85	0.44	02000	35%6/17	6%1/17
Jimmy DunneDEF	Queens Park Rangers	42	90	0.43	10001	38%16/42	5%2/42
Arthur TheateDEF	Eintracht Frankfurt	26	89	0.43	02000	38%10/26	4%1/26
Marc BolaDEF	Watford	19	78	0.43	00010	37%7/19	0%0/19
Miguel Gutiérrez OrtegaDEF	Girona	29	73	0.43	10000	28%8/29	7%2/29
Alberto Moreno PérezDEF	Como	23	64	0.43	10000	26%6/23	4%1/23
Luca PellegriniDEF	Lazio	24	62	0.43	10100	29%7/24	0%0/24
Óscar Mingueza GarcíaDEF	Celta de Vigo	34	69	0.42	00000	32%11/34	0%0/34
Adam MarušićDEF	Lazio	34	77	0.41	00001	29%10/34	6%2/34
Joe EdwardsDEF	Plymouth Argyle	11	60	0.41	00000	27%3/11	0%0/11
Christian KabaseleDEF	Udinese	26	77	0.40	00010	31%8/26	4%1/26
Mitchell WeiserDEF	Werder Bremen	15	90	0.40	00102	33%5/15	7%1/15
Michael IhiekweDEF	Sheffield Wednesday	10	90	0.40	00011	40%4/10	0%0/10
Andrés López GalloDEF	Sevilla	10	68	0.39	11000	30%3/10	0%0/10
Fabian Lukas SchärDEF	Newcastle United	26	79	0.39	01110	31%8/26	4%1/26
Harry MaguireDEF	Manchester United	24	67	0.39	00200	17%4/24	8%2/24
David RaumDEF	RB Leipzig	27	86	0.39	02010	33%9/27	4%1/27
Jake CooperDEF	Millwall	42	89	0.39	02000	29%12/42	10%4/42
Miro MuheimDEF	Hamburger SV	14	84	0.38	10010	36%5/14	0%0/14
Pervis Josué Estupiñán TenorioDEF	AC Milan	14	67	0.38	00100	21%3/14	7%1/14
Mario Hermoso CansecoDEF	Roma	21	67	0.38	01200	24%5/21	5%1/21
Noahkai Kai Daniel BanksDEF	FC Augsburg	16	74	0.38	01010	31%5/16	0%0/16
Mark McGuinnessDEF	Luton Town	33	80	0.38	10002	27%9/33	6%2/33
Liberato Gianpaolo CacaceDEF	Empoli	20	72	0.38	00010	25%5/20	5%1/20
Keven SchlotterbeckDEF	FC Augsburg	21	80	0.37	00001	33%7/21	0%0/21
Pascal StruijkDEF	Leeds United	34	85	0.37	00000	29%10/34	6%2/34
Adrián De la Fuente BarquillaDEF	Levante	18	81	0.37	00021	28%5/18	6%1/18
Willi OrbanDEF	RB Leipzig	30	89	0.37	10002	30%9/30	7%2/30
Harrison AshbyDEF	Queens Park Rangers	11	66	0.37	10200	18%2/11	9%1/11
Gleison Bremer Silva NascimentoDEF	Juventus	17	86	0.37	10110	35%6/17	0%0/17
Dael FryDEF	Middlesbrough	27	64	0.37	00012	22%6/27	4%1/27
Dennis CirkinDEF	Sunderland	19	78	0.37	00000	32%6/19	0%0/19
Emerson Palmieri dos SantosDEF	West Ham United	17	72	0.37	00001	24%4/17	6%1/17
Joakim MæhleDEF	VfL Wolfsburg	22	79	0.36	00010	27%6/22	5%1/22
Jacobo Ramón NaverosDEF	Como	18	82	0.36	20100	22%4/18	11%2/18
Gregory LeighDEF	Oxford United	23	65	0.36	10000	26%6/23	0%0/23
Manolis SaliakasDEF	St. Pauli	25	70	0.36	00010	28%7/25	0%0/25
Matt TargettDEF	Middlesbrough	24	73	0.36	10001	25%6/24	4%1/24
Neco WilliamsDEF	Nottingham Forest	36	84	0.36	10030	22%8/36	8%3/36
Robin GosensDEF	Fiorentina	28	81	0.36	00100	29%8/28	4%1/28
Kossonou OdilonDEF	Atalanta	16	63	0.36	00010	25%4/16	0%0/16
Andrei Florin RatiuDEF	Rayo Vallecano	35	87	0.36	00100	29%10/35	6%2/35
Jayden BogleDEF	Leeds United	38	87	0.36	00010	26%10/38	8%3/38
Djed SpenceDEF	Tottenham Hotspur	26	68	0.36	10000	27%7/26	0%0/26
Federico GattiDEF	Juventus	26	69	0.35	00100	23%6/26	4%1/26
Patrick MainkaDEF	Heidenheim	34	90	0.35	10000	32%11/34	3%1/34
Emre CanDEF	Borussia Dortmund	19	67	0.35	01001	26%5/19	0%0/19
Yukinari SugawaraDEF	Southampton	34	61	0.35	00001	24%8/34	0%0/34
Nahuel TenagliaDEF	Deportivo Alavés	38	88	0.35	11110	32%12/38	3%1/38
Enrique Jesús Salas ValienteDEF	Sevilla	30	78	0.35	10000	23%7/30	7%2/30
Bobby ThomasDEF	Coventry City	35	89	0.35	00000	34%12/35	0%0/35
Nobel MendyDEF	Rayo Vallecano	12	65	0.35	00001	25%3/12	0%0/12
Ramy BensebainiDEF	Borussia Dortmund	25	73	0.34	10201	24%6/25	4%1/25
James JustinDEF	Leicester City	34	69	0.34	01100	24%8/34	3%1/34
Omar Federico Alderete FernándezDEF	Getafe	33	87	0.34	01020	30%10/33	3%1/33
Jarell QuansahDEF	Bayer 04 Leverkusen	19	69	0.34	10001	26%5/19	0%0/19
Jurriën TimberDEF	Arsenal	30	79	0.34	02000	23%7/30	7%2/30
Teden MengiDEF	Luton Town	10	80	0.34	00110	30%3/10	0%0/10
Luke McNallyDEF	Bristol City	12	89	0.34	10110	33%4/12	0%0/12
Alexander CochraneDEF	Birmingham City	10	80	0.34	01001	30%3/10	0%0/10
Alessandro VogliaccoDEF	Parma	12	67	0.34	00100	25%3/12	0%0/12
Jan Paul van HeckeDEF	Brighton & Hove Albion	33	90	0.33	00110	27%9/33	3%1/33
Danilho DoekhiDEF	FC Union Berlin	33	90	0.33	00310	21%7/33	9%3/33
Maximilian MittelstädtDEF	VfB Stuttgart	30	81	0.33	11300	23%7/30	3%1/30
Andreas Hanche-OlsenDEF	FSV Mainz 05	18	61	0.33	00000	17%3/18	6%1/18

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.