Shots on target

100 players · Midfielders in the Premier League · 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 10h

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

20 with stats on record

Position

All Goalkeepers Defenders Midfielders Forwards

Sort by

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

Clear all filters

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
Cole PalmerMID	Chelsea	32	86	1.53	12011	91%29/32	34%11/32
Bruno Miguel Borges FernandesMID	Manchester United	35	86	1.11	11000	66%23/35	29%10/35
Eberechi EzeMID	Crystal Palace	33	68	0.99	20101	55%18/33	12%4/33
Morgan RogersMID	Aston Villa	37	87	0.89	10131	54%20/37	22%8/37
Enzo Jeremías FernándezMID	Chelsea	36	85	0.87	10100	64%23/36	14%5/36
Marcus TavernierMID	AFC Bournemouth	32	75	0.85	01011	56%18/32	13%4/32
Florian WirtzMID	Liverpool	16	67	0.82	11000	50%8/16	6%1/16
Mateus ManéMID	Wolverhampton Wanderers	14	67	0.82	21000	36%5/14	21%3/14
Mikel Merino ZazónMID	Arsenal	24	53	0.78	20001	38%9/24	8%2/24
Marshall Nyasha MunetsiMID	Wolverhampton Wanderers	14	75	0.77	10211	57%8/14	14%2/14
Philip FodenMID	Manchester City	31	67	0.77	00201	45%14/31	13%4/31
Morgan Gibbs-WhiteMID	Nottingham Forest	35	84	0.76	13110	54%19/35	11%4/35
Dominik SzoboszlaiMID	Liverpool	36	79	0.74	11001	50%18/36	14%5/36
Tijjani ReijndersMID	Manchester City	14	64	0.74	10001	50%7/14	7%1/14
Dejan KulusevskiMID	Tottenham Hotspur	16	74	0.73	02011	50%8/16	6%1/16
Xavi SimonsMID	Tottenham Hotspur	14	67	0.70	10010	36%5/14	14%2/14
James MaddisonMID	Tottenham Hotspur	17	46	0.68	00000	29%5/17	6%1/17
Justin KluivertMID	AFC Bournemouth	27	60	0.67	00000	44%12/27	7%2/27
Douglas Luiz Soares de PauloMID	Aston Villa	10	47	0.64	00100	30%3/10	0%0/10
A. ScottMID	AFC Bournemouth	29	64	0.61	01100	38%11/29	3%1/29
Alexis Mac AllisterMID	Liverpool	36	73	0.60	10000	42%15/36	8%3/36
Bruno Guimarães Rodriguez MouraMID	Newcastle United	34	85	0.60	10111	50%17/34	6%2/34
Joe AriboMID	Southampton	15	66	0.58	00000	20%3/15	13%2/15
Ryan ChristieMID	AFC Bournemouth	27	54	0.57	02100	33%9/27	11%3/27
Mateo KovačićMID	Manchester City	18	55	0.57	00000	22%4/18	11%2/18
Christian NørgaardMID	Brentford	20	74	0.56	00021	35%7/20	10%2/20
Pascal GroßMID	Brighton & Hove Albion	10	83	0.56	11100	50%5/10	0%0/10
Joelinton Cassio Apolinário de LiraMID	Newcastle United	30	82	0.55	00010	33%10/30	17%5/30
Martin ØdegaardMID	Arsenal	27	75	0.55	01002	41%11/27	4%1/27
Tomáš SoučekMID	West Ham United	36	64	0.53	20100	39%14/36	8%3/36
Nicolás Martín DomínguezMID	Nottingham Forest	30	51	0.51	00001	23%7/30	3%1/30
Curtis JonesMID	Liverpool	33	52	0.50	10000	27%9/33	3%1/33
Emile Smith RoweMID	Fulham	36	55	0.50	10001	31%11/36	3%1/36
Brenden AaronsonMID	Leeds United	18	65	0.49	00000	39%7/18	0%0/18
James GarnerMID	Everton	29	84	0.49	10010	38%11/29	3%1/29
Enzo Le FéeMID	Sunderland	18	84	0.48	20101	39%7/18	6%1/18
Yasin Abbas AyariMID	Brighton & Hove Albion	30	61	0.48	00000	20%6/30	10%3/30
Lucas Tolentino Coelho de LimaMID	West Ham United	29	75	0.46	01100	28%8/29	10%3/29
John McGinnMID	Aston Villa	32	71	0.45	10102	25%8/32	9%3/32
Facundo Valentín BuonanotteMID	Leicester City	16	46	0.44	00000	19%3/16	6%1/16
Lewis MileyMID	Newcastle United	19	48	0.44	00100	16%3/19	5%1/19
Pape Matar SarrMID	Tottenham Hotspur	33	56	0.44	00011	27%9/33	3%1/33
Youri TielemansMID	Aston Villa	30	84	0.44	10000	37%11/30	3%1/30
Sandro TonaliMID	Newcastle United	36	72	0.43	00001	33%12/36	6%2/36
Diego Alexander Gómez AmarillaMID	Brighton & Hove Albion	23	52	0.42	01010	17%4/23	4%1/23
Abdoulaye DoucouréMID	Everton	12	74	0.41	11110	33%4/12	0%0/12
Jefferson Andrés Lerma SolísMID	Crystal Palace	32	66	0.40	00100	22%7/32	6%2/32
Declan RiceMID	Arsenal	36	82	0.40	00010	33%12/36	3%1/36
Kiernan Dewsbury-HallMID	Everton	20	72	0.39	00012	20%4/20	10%2/20
Martín Zubimendi IbáñezMID	Arsenal	19	75	0.39	00000	26%5/19	5%1/19
Ryan GravenberchMID	Liverpool	37	83	0.38	11001	35%13/37	0%0/37
Jack HinshelwoodMID	Brighton & Hove Albion	27	64	0.38	01200	30%8/27	4%1/27
João Maria Lobo Alves Palhinha GonçalvesMID	Tottenham Hotspur	17	61	0.38	10100	29%5/17	0%0/17
Anton StachMID	Leeds United	15	81	0.38	01010	40%6/15	0%0/15
Bernardo Mota Veiga de Carvalho e SilvaMID	Manchester City	34	77	0.35	10002	26%9/34	3%1/34
Mathis Ryan CherkiMID	Manchester City	17	50	0.34	00010	18%3/17	0%0/17
Jean-Ricner BellegardeMID	Wolverhampton Wanderers	33	45	0.34	00000	18%6/33	0%0/33
Mateus Gonçalo Espanha FernandesMID	West Ham United	36	82	0.34	11000	25%9/36	6%2/36
Keane Lewis-PotterMID	Brentford	36	72	0.32	01000	25%9/36	0%0/36
Ryan YatesMID	Nottingham Forest	28	49	0.31	10000	14%4/28	4%1/28
Mikkel DamsgaardMID	Brentford	36	70	0.30	01000	22%8/36	3%1/36
Elliott AndersonMID	Nottingham Forest	38	80	0.30	01000	21%8/38	5%2/38
Onyinye Wilfred NdidiMID	Leicester City	15	83	0.29	00000	27%4/15	0%0/15
Tyler AdamsMID	AFC Bournemouth	27	69	0.26	00000	19%5/27	0%0/27
Chimuanya UgochukwuMID	Burnley	32	67	0.25	01000	13%4/32	3%1/32
Vitaly JaneltMID	Brentford	28	66	0.25	00000	18%5/28	0%0/28
Boubacar KamaraMID	Aston Villa	21	74	0.24	00011	19%4/21	0%0/21
Carlos Baleba Noom QuomahMID	Brighton & Hove Albion	35	67	0.24	00001	17%6/35	3%1/35
Bilal El KhannousMID	Leicester City	17	71	0.23	00010	18%3/17	0%0/17
Soungoutou MagassaMID	West Ham United	11	45	0.23	00000	9%1/11	0%0/11
João Victor Gomes da SilvaMID	Wolverhampton Wanderers	34	84	0.22	00101	21%7/34	0%0/34
Daichi KamadaMID	Crystal Palace	31	47	0.21	00000	10%3/31	3%1/31
Saša LukićMID	Fulham	24	73	0.21	12000	13%3/24	4%1/24
Amadou Zeund Georges Mvom OnanaMID	Aston Villa	22	63	0.21	00010	18%4/22	0%0/22
Rodrigo Bentancur ColmánMID	Tottenham Hotspur	27	65	0.21	00000	15%4/27	0%0/27
Adam WhartonMID	Crystal Palace	27	72	0.19	00000	15%4/27	0%0/27
Mathias JensenMID	Brentford	33	50	0.19	00010	12%4/33	0%0/33
Ibrahim SangaréMID	Nottingham Forest	23	66	0.18	00000	13%3/23	0%0/23
Ethan AmpaduMID	Leeds United	17	89	0.18	00110	18%3/17	0%0/17
Jacob RamseyMID	Newcastle United	26	46	0.17	00000	12%3/26	0%0/26
Flynn DownesMID	Southampton	13	81	0.17	00000	15%2/13	0%0/13
Idrissa Gana GueyeMID	Everton	14	78	0.17	00000	14%2/14	0%0/14
Kobbie MainooMID	Manchester United	27	66	0.16	01000	11%3/27	0%0/27
Hannibal MejbriMID	Burnley	14	47	0.16	10000	7%1/14	0%0/14
Manuel Ugarte RibeiroMID	Manchester United	26	49	0.16	00000	8%2/26	0%0/26
Ilia GruevMID	Leeds United	13	51	0.15	00010	8%1/13	0%0/13
Harry WinksMID	Leicester City	10	66	0.15	11000	20%2/10	0%0/10
Guido RodríguezMID	West Ham United	14	47	0.14	00000	7%1/14	0%0/14
Nicolás González IglesiasMID	Manchester City	20	66	0.14	00000	15%3/20	0%0/20
Yehor YarmoliukMID	Brentford	32	63	0.14	00000	9%3/32	0%0/32
Rodrigo Hernández CascanteMID	Manchester City	13	55	0.14	01000	15%2/13	0%0/13
Moisés Isaac Caicedo CorozoMID	Chelsea	37	87	0.14	00000	11%4/37	3%1/37
Granit XhakaMID	Sunderland	17	86	0.13	00000	12%2/17	0%0/17
Archie GrayMID	Tottenham Hotspur	28	57	0.12	01000	7%2/28	0%0/28
Noah SadikiMID	Sunderland	17	90	0.12	01000	12%2/17	0%0/17
Josh LaurentMID	Burnley	15	58	0.11	00000	7%1/15	0%0/15
Jens-Lys Michel CajusteMID	Ipswich Town	16	58	0.10	00001	6%1/16	0%0/16
Jordan Brian HendersonMID	Brentford	16	62	0.10	00000	6%1/16	0%0/16
Lewis CookMID	AFC Bournemouth	27	72	0.10	00000	7%2/27	0%0/27
Edson Omar Álvarez VelázquezMID	West Ham United	15	66	0.09	00000	7%1/15	0%0/15

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.