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Player stats 25/26

Wolves v Nottingham Forest

Your slip follows you between games.

How often each Wolves and Nottingham Forest 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 Wolves v Nottingham Forest: Morgan Gibbs-White (Nottingham Forest) tops the visitors for 1+ shots on target — 6 of 10 (60%). 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.

Wolves
Jhon AriasF 80%8 of 10 Pro 🔒
Marshall MunetsiM 80%8 of 10 Pro 🔒
Nottingham Forest
Morgan Gibbs-WhiteM 100%10 of 10 Pro 🔒
Omari HutchinsonM 70%7 of 10 Pro 🔒
Igor JesusF 70%7 of 10 Pro 🔒
Neco WilliamsD 60%6 of 10 Pro 🔒
Dan NdoyeM 60%6 of 10 Pro 🔒
Elliot AndersonM 60%6 of 10 Pro 🔒

Wolves
No Wolves player in this window.
Nottingham Forest
Morgan Gibbs-WhiteM 90%9 of 10 Pro 🔒

Wolves
No Wolves player in this window.
Nottingham Forest
Morgan Gibbs-WhiteM 60%6 of 10 Pro 🔒

Wolves
João GomesM 100%10 of 10 Pro 🔒
Marshall MunetsiM 80%8 of 10 Pro 🔒
Yerson MosqueraD 60%6 of 10 Pro 🔒
AndréM 60%6 of 10 Pro 🔒
Nottingham Forest
Elliot AndersonM 80%8 of 10 Pro 🔒
Neco WilliamsD 70%7 of 10 Pro 🔒
Dan NdoyeM 70%7 of 10 Pro 🔒
Ibrahim SangaréM 60%6 of 10 Pro 🔒
Igor JesusF 60%6 of 10 Pro 🔒

Wolves
João GomesM 70%7 of 10 Pro 🔒
Nottingham Forest
No Nottingham Forest player in this window.

Wolves
Yerson MosqueraD 90%9 of 10 Pro 🔒
AndréM 70%7 of 10 Pro 🔒
João GomesM 60%6 of 10 Pro 🔒
Marshall MunetsiM 60%6 of 10 Pro 🔒
Nottingham Forest
Neco WilliamsD 90%9 of 10 Pro 🔒
Elliot AndersonM 90%9 of 10 Pro 🔒
Morgan Gibbs-WhiteM 60%6 of 10 Pro 🔒
Dan NdoyeM 60%6 of 10 Pro 🔒

Wolves
No Wolves player in this window.
Nottingham Forest
Elliot AndersonM 70%7 of 10 Pro 🔒

Wolves
João GomesM 100%10 of 10 Pro 🔒
Marshall MunetsiM 90%9 of 10 Pro 🔒
Emmanuel AgbadouD 80%8 of 10 Pro 🔒
Yerson MosqueraD 80%8 of 10 Pro 🔒
AndréM 80%8 of 10 Pro 🔒
Jhon AriasF 70%7 of 10 Pro 🔒
Nottingham Forest
Neco WilliamsD 100%10 of 10 Pro 🔒
Elliot AndersonM 100%10 of 10 Pro 🔒
Dan NdoyeM 90%9 of 10 Pro 🔒
Ibrahim SangaréM 80%8 of 10 Pro 🔒
Nicolás DomínguezM 80%8 of 10 Pro 🔒
MoratoD 80%8 of 10 Pro 🔒
Nicolò SavonaD 60%6 of 10 Pro 🔒

Wolves
João GomesM 80%8 of 10 Pro 🔒
Emmanuel AgbadouD 60%6 of 10 Pro 🔒
Marshall MunetsiM 60%6 of 10 Pro 🔒
Nottingham Forest
Neco WilliamsD 90%9 of 10 Pro 🔒
Elliot AndersonM 70%7 of 10 Pro 🔒
Ibrahim SangaréM 60%6 of 10 Pro 🔒

Wolves
João GomesM 60%6 of 10 Pro 🔒
Nottingham Forest
Neco WilliamsD 70%7 of 10 Pro 🔒

Wolves
No Wolves player in this window.
Nottingham Forest
MoratoD 60%6 of 10 Pro 🔒

Wolves
No Wolves player in this window.
Nottingham Forest
Morgan Gibbs-WhiteM 30%3 of 10 Stats only

Wolves
Sam JohnstoneG 60%6 of 10 Stats only
Nottingham Forest
Matz SelsG 70%7 of 10 Stats only

🔒 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
Tim Robinson refereed this match 4.33cards a gameleague 4.08 48games
Tim Robinson'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.