Shots on target

100 players · Midfielders 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 32h

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

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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
Nicolás Paz MartínezMID	Como	35	80	1.70	03211	71%25/35	37%13/35
Jamal MusialaMID	FC Bayern München	20	62	1.68	00010	50%10/20	30%6/20
Lennart KarlMID	FC Bayern München	13	54	1.67	02210	69%9/13	31%4/13
Fermín López MarínMID	FC Barcelona	33	51	1.55	21020	52%17/33	27%9/33
Cole PalmerMID	Chelsea	32	86	1.53	12011	91%29/32	34%11/32
Can Yılmaz UzunMID	Eintracht Frankfurt	22	47	1.48	14002	50%11/22	18%4/22
Forzan Assan OuedraogoMID	RB Leipzig	10	52	1.40	01003	40%4/10	30%3/10
Florian WirtzMID	Bayer 04 Leverkusen	32	71	1.39	11000	66%21/32	34%11/32
Ibrahim MazaMID	Bayer 04 Leverkusen	15	70	1.37	20223	47%7/15	40%6/15
Leonardo Weschenfelder-ScienzaMID	Southampton	38	57	1.36	00002	47%18/38	29%11/38
Daniel Olmo CarvajalMID	FC Barcelona	28	54	1.32	00000	54%15/28	21%6/28
Arda GulerMID	Real Madrid	32	50	1.30	00011	44%14/32	22%7/32
Christoph BaumgartnerMID	RB Leipzig	31	67	1.30	13221	61%19/31	26%8/31
Daniel MaldiniMID	Atalanta	29	45	1.24	11011	59%17/29	3%1/29
Sam GreenwoodMID	Preston North End	20	62	1.23	00113	50%10/20	20%4/20
Rubin ColwillMID	Cardiff City	21	53	1.20	00000	33%7/21	24%5/21
Anton KadeMID	FC Augsburg	15	55	1.20	12110	47%7/15	20%3/15
Danel SinaniMID	St. Pauli	29	63	1.18	00022	55%16/29	24%7/29
Jude BellinghamMID	Real Madrid	29	72	1.17	21010	59%17/29	31%9/29
Josh WindassMID	Sheffield Wednesday	42	68	1.16	22101	52%22/42	31%13/42
Adil AouchicheMID	Portsmouth	11	50	1.14	00200	36%4/11	18%2/11
Anis MehmetiMID	Bristol City	44	69	1.13	01101	52%23/44	20%9/44
Ilias ChairMID	Queens Park Rangers	22	59	1.11	00021	41%9/22	23%5/22
Bruno Miguel Borges FernandesMID	Manchester United	35	86	1.11	11000	66%23/35	29%10/35
Enzo MillotMID	VfB Stuttgart	15	71	1.10	21000	53%8/15	27%4/15
Azzedine OunahiMID	Girona	12	75	1.10	11010	67%8/12	25%3/12
Scott TwineMID	Bristol City	42	69	1.09	21003	50%21/42	19%8/42
Femi AzeezMID	Millwall	35	66	1.09	22000	54%19/35	20%7/35
Mert KömürMID	FC Augsburg	21	51	1.09	30000	38%8/21	19%4/21
Sonny CareyMID	Charlton Athletic	23	76	1.08	00000	57%13/23	26%6/23
Brajan GrudaMID	Brighton & Hove Albion	28	45	1.07	00030	32%9/28	14%4/28
Giovani Lo CelsoMID	Real Betis	25	57	1.07	01000	40%10/25	20%5/25
Alexis Claude MauriceMID	FC Augsburg	29	76	1.06	00312	62%18/29	21%6/29
Scott McTominayMID	Napoli	33	88	1.06	00500	58%19/33	30%10/33
Rami HajalMID	Plymouth Argyle	15	52	1.04	00100	33%5/15	20%3/15
Pape GueyeMID	Villarreal	33	64	1.03	10002	48%16/33	18%6/33
Tijjani ReijndersMID	AC Milan	32	74	1.03	10001	59%19/32	16%5/32
Ephron Mason-ClarkMID	Coventry City	38	68	1.02	12200	58%22/38	16%6/38
Samuel SzmodicsMID	Ipswich Town	27	50	1.01	11101	44%12/27	7%2/27
Eberechi EzeMID	Crystal Palace	33	68	1.00	20101	55%18/33	12%4/33
Oihan Sancet TirapuMID	Athletic Club	27	63	1.00	00022	48%13/27	19%5/27
Isaac PriceMID	West Bromwich Albion	32	79	0.96	12013	53%17/32	19%6/32
Benito Nicolas ViolaMID	Cagliari	14	47	0.96	00110	36%5/14	7%1/14
Emiliano Marcondes Camargo HansenMID	Norwich City	24	59	0.96	01101	50%12/24	8%2/24
Hakan ÇalhanoğluMID	Inter	27	70	0.95	02121	59%16/27	15%4/27
Gustavo HamerMID	Sheffield United	43	76	0.94	11210	58%25/43	16%7/43
Nadiem AmiriMID	FSV Mainz 05	30	84	0.93	13012	63%19/30	20%6/30
Jens OdgaardMID	Bologna	28	60	0.92	00011	39%11/28	18%5/28
Karamoko Kader DembéléMID	Queens Park Rangers	24	53	0.92	11101	46%11/24	8%2/24
Victor Torp OvergaardMID	Coventry City	41	58	0.91	10001	46%19/41	12%5/41
Liam CullenMID	Swansea City	42	57	0.90	01111	43%18/42	12%5/42
Tommaso PobegaMID	Bologna	20	50	0.90	10010	40%8/20	10%2/20
Morgan RogersMID	Aston Villa	37	87	0.89	10131	54%20/37	22%8/37
Ruslan MalinovskiyMID	Genoa	22	64	0.89	00201	36%8/22	27%6/22
Lovro MajerMID	VfL Wolfsburg	20	46	0.88	02000	30%6/20	15%3/20
Julian BrandtMID	Borussia Dortmund	30	65	0.88	20000	47%14/30	17%5/30
Jack RudoniMID	Coventry City	38	79	0.87	10220	55%21/38	18%7/38
Luka SučićMID	Real Sociedad	23	54	0.87	00100	43%10/23	4%1/23
Marcus TavernierMID	AFC Bournemouth	32	75	0.86	01011	56%18/32	13%4/32
Xavi SimonsMID	Tottenham Hotspur	26	77	0.86	10010	54%14/26	15%4/26
Jordan JamesMID	Leicester City	17	68	0.86	01021	53%9/17	12%2/17
Marshall Nyasha MunetsiMID	Wolverhampton Wanderers	14	75	0.86	10211	57%8/14	14%2/14
Enzo Jeremías FernándezMID	Chelsea	36	85	0.85	10100	64%23/36	14%5/36
Marcelino Ignacio Nuñez EspinozaMID	Ipswich Town	37	64	0.84	00002	32%12/37	19%7/37
Jens CastropMID	Borussia Mönchengladbach	12	63	0.84	10022	33%4/12	25%3/12
Federico Santiago Valverde DipettaMID	Real Madrid	35	83	0.84	10232	54%19/35	14%5/35
Alfie DevineMID	Preston North End	23	71	0.83	20020	48%11/23	17%4/23
Finn AzazMID	Middlesbrough	43	76	0.83	10021	51%22/43	19%8/43
Philip FodenMID	Manchester City	31	67	0.82	00201	45%14/31	13%4/31
Myles Peart-HarrisMID	Swansea City	25	62	0.81	20112	44%11/25	12%3/25
Grischa PrömelMID	TSG Hoffenheim	17	52	0.81	00012	41%7/17	6%1/17
Charles De KetelaereMID	Atalanta	32	70	0.80	01001	41%13/32	13%4/32
Harvey ValeMID	Queens Park Rangers	16	77	0.80	31010	44%7/16	13%2/16
Josh BrownhillMID	Burnley	20	85	0.80	32000	60%12/20	10%2/20
Matt RitchieMID	Portsmouth	21	65	0.80	03000	38%8/21	10%2/21
Mateus ManéMID	Wolverhampton Wanderers	14	67	0.77	21000	36%5/14	21%3/14
Mikel Merino ZazónMID	Arsenal	24	53	0.77	20001	38%9/24	8%2/24
Justin KluivertMID	AFC Bournemouth	27	60	0.77	00000	44%12/27	7%2/27
Morgan Gibbs-WhiteMID	Nottingham Forest	35	84	0.76	13110	54%19/35	11%4/35
Moussa BaradjiMID	Blackburn Rovers	16	53	0.75	10000	38%6/16	6%1/16
Josh EcclesMID	Coventry City	37	52	0.75	00310	27%10/37	11%4/37
Liam GibbsMID	Norwich City	12	50	0.74	12000	33%4/12	8%1/12
Răzvan Gabriel MarinMID	Cagliari	16	46	0.74	10100	31%5/16	6%1/16
Ryan ChristieMID	AFC Bournemouth	27	54	0.74	02100	33%9/27	11%3/27
Kirian Rodríguez ConcepciónMID	Las Palmas	10	86	0.74	12100	50%5/10	20%2/10
Dominik SzoboszlaiMID	Liverpool	36	79	0.73	11001	50%18/36	14%5/36
Andre BrookesMID	Sheffield United	32	58	0.72	10201	34%11/32	13%4/32
Leon GoretzkaMID	FC Bayern München	30	54	0.72	03201	30%9/30	10%3/30
Cesare CasadeiMID	Torino	24	59	0.70	20100	33%8/24	13%3/24
Francisco Román Alarcón SuárezMID	Real Betis	17	60	0.70	00000	41%7/17	6%1/17
Kevin De BruyneMID	Napoli	16	56	0.70	02000	38%6/16	6%1/16
Anis Ben SlimaneMID	Norwich City	29	63	0.69	20100	34%10/29	10%3/29
Niccolò PisilliMID	Roma	25	52	0.69	01000	36%9/25	4%1/25
Brian De KeersmaeckerMID	Oxford United	13	90	0.69	00101	46%6/13	15%2/13
Malik TillmanMID	Bayer 04 Leverkusen	14	56	0.69	10012	36%5/14	7%1/14
Cameron BrannaganMID	Oxford United	37	84	0.69	00021	46%17/37	19%7/37
Riley McGreeMID	Middlesbrough	20	59	0.69	02110	30%6/20	15%3/20
James MaddisonMID	Tottenham Hotspur	17	46	0.69	00000	29%5/17	6%1/17
Dejan KulusevskiMID	Tottenham Hotspur	16	74	0.69	02011	50%8/16	6%1/16
Tomáš RigoMID	Stoke City	14	57	0.68	03100	29%4/14	7%1/14

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.