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Player stats 25/26

Nottingham Forest v West Ham

Your slip follows you between games.

How often each Nottingham Forest and West Ham player has hit the lines bookmakers price — 1+ shots on target, 2+ shots, 1+ fouls, a card — across their recent matches. How hit rates work ↓

Going into Nottingham Forest v West Ham: Arnaud Kalimuendo (Nottingham Forest) leads the home side for 1+ shots on target — 8 of 10 (80%); Jarrod Bowen (West Ham) tops the visitors on 9 of 10 (90%). Raw hit rates from recent matches, not odds.

Window
Last
What a window counts

Hit rates count the most recent completed games, newest first — reaching back into earlier seasons when the current one is short, and into games for a previous club, including in another league we cover.

Market
Line
Team
How hit rates and windows work

Each row's hit rate is the share of a player's games in the window where the bet would have landed. These are 26/27 figures from completed matches: Last N is their last N games; Season is their whole 26/27; H2H is only games against this opponent.

Nottingham Forest
Chris WoodF 90%9 of 10 Pro 🔒
Arnaud KalimuendoF 90%9 of 10 Pro 🔒
Morgan Gibbs-WhiteM 80%8 of 10 Pro 🔒
Dan NdoyeM 80%8 of 10 Pro 🔒
Omari HutchinsonF 70%7 of 10 Pro 🔒
Elliot AndersonM 70%7 of 10 Pro 🔒
West Ham
Jarrod BowenM 100%10 of 10 Pro 🔒
Mateus FernandesMform earned at Southampton 90%9 of 10 Pro 🔒
Tomáš SoučekM 90%9 of 10 Pro 🔒
Niclas FüllkrugF 70%7 of 10 Pro 🔒
James Ward-ProwseM 70%7 of 10 Pro 🔒
Lucas PaquetáM 60%6 of 10 Pro 🔒

Nottingham Forest
Arnaud KalimuendoF 90%9 of 10 Pro 🔒
Chris WoodF 80%8 of 10 Pro 🔒
Morgan Gibbs-WhiteM 60%6 of 10 Pro 🔒
West Ham
Jarrod BowenM 80%8 of 10 Pro 🔒

Nottingham Forest
Arnaud KalimuendoF 80%8 of 10 Pro 🔒
West Ham
Jarrod BowenM 90%9 of 10 Pro 🔒
Tomáš SoučekM 60%6 of 10 Pro 🔒

Nottingham Forest
Morgan Gibbs-WhiteM 100%10 of 10 Pro 🔒
Elliot AndersonM 80%8 of 10 Pro 🔒
MurilloD 70%7 of 10 Pro 🔒
Neco WilliamsD 70%7 of 10 Pro 🔒
Omari HutchinsonF 60%6 of 10 Pro 🔒
Arnaud KalimuendoF 60%6 of 10 Pro 🔒
West Ham
Lucas PaquetáM 80%8 of 10 Pro 🔒
Mateus FernandesMform earned at Southampton 70%7 of 10 Pro 🔒
Niclas FüllkrugF 70%7 of 10 Pro 🔒
Max KilmanD 60%6 of 10 Pro 🔒

Nottingham Forest
Elliot AndersonM 60%6 of 10 Pro 🔒
West Ham
No West Ham player in this window.

Nottingham Forest
Morgan Gibbs-WhiteM 90%9 of 10 Pro 🔒
Dan NdoyeM 90%9 of 10 Pro 🔒
Omari HutchinsonF 80%8 of 10 Pro 🔒
Neco WilliamsD 80%8 of 10 Pro 🔒
Elliot AndersonM 70%7 of 10 Pro 🔒
Chris WoodF 60%6 of 10 Pro 🔒
Arnaud KalimuendoF 60%6 of 10 Pro 🔒
West Ham
Jarrod BowenM 90%9 of 10 Pro 🔒
Kyle Walker-PetersD 90%9 of 10 Pro 🔒
Lucas PaquetáM 80%8 of 10 Pro 🔒

Nottingham Forest
Dan NdoyeM 80%8 of 10 Pro 🔒
Neco WilliamsD 60%6 of 10 Pro 🔒
West Ham
Lucas PaquetáM 70%7 of 10 Pro 🔒

Nottingham Forest
Dan NdoyeM 70%7 of 10 Pro 🔒
West Ham
No West Ham player in this window.

Nottingham Forest
Elliot AndersonM 100%10 of 10 Pro 🔒
Neco WilliamsD 90%9 of 10 Pro 🔒
Nikola MilenkovićD 80%8 of 10 Pro 🔒
Ibrahim SangaréM 70%7 of 10 Pro 🔒
Dan NdoyeM 70%7 of 10 Pro 🔒
Omari HutchinsonF 60%6 of 10 Pro 🔒
Morgan Gibbs-WhiteM 60%6 of 10 Pro 🔒
West Ham
Mateus FernandesMform earned at Southampton 80%8 of 10 Pro 🔒
James Ward-ProwseM 80%8 of 10 Pro 🔒
Tomáš SoučekM 80%8 of 10 Pro 🔒
Max KilmanD 80%8 of 10 Pro 🔒
Jarrod BowenM 70%7 of 10 Pro 🔒
Kyle Walker-PetersD 60%6 of 10 Pro 🔒
Lucas PaquetáM 60%6 of 10 Pro 🔒
Andy IrvingM 60%6 of 10 Pro 🔒

Nottingham Forest
Neco WilliamsD 90%9 of 10 Pro 🔒
Elliot AndersonM 80%8 of 10 Pro 🔒
West Ham
No West Ham player in this window.

Nottingham Forest
Neco WilliamsD 60%6 of 10 Pro 🔒
West Ham
No West Ham player in this window.

Nottingham Forest
Arnaud KalimuendoF 40%4 of 10 Stats only
Chris WoodF 30%3 of 10 Stats only
Dan NdoyeM 30%3 of 10 Stats only
West Ham
Jarrod BowenM 60%6 of 10 Stats only

Nottingham Forest
Dan NdoyeM 30%3 of 10 Stats only
West Ham
No West Ham player in this window.

Nottingham Forest
Matz SelsG 60%6 of 10 Stats only
West Ham
No West Ham player in this window.

🔒 Model is the paid layer — the model's +EV verdict on each line, per fixture in the tool. The hit rates here are free.

Tick players above to build your own slip — it follows you across games, and you can share it from the tray below.

New to these markets? The player stats guide explains what each line means and how to read a hit rate, and the glossary defines the terms.

Match officials
Craig Pawson refereed this match 3.94cards a gameleague 4.08 85games
Craig Pawson's card record

Form is only half the picture. A player hitting a line 5 of 5 can still be poor value if the true chance is lower than the streak suggests. The SharpXI tool pairs every one of these with the model's real probability — and flags the runs it doesn't back, so you're not chasing a streak about to regress. That honest verdict is the layer we're building into the tool.

Hit rates are raw recent form from public match data, for context — not a prediction or a guarantee. 18+ — please gamble responsibly.