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Player stats 24/25

Leicester v Nottingham Forest

Your slip follows you between games.

How often each Leicester 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 Leicester v Nottingham Forest: Chris Wood (Nottingham Forest) tops the visitors for 1+ shots on target — 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.

Leicester
Jordan AyewF 70%7 of 10 Pro 🔒
Facundo BuonanotteM 60%6 of 10 Pro 🔒
Jamie VardyF 60%6 of 10 Pro 🔒
Ricardo PereiraD 60%6 of 10 Pro 🔒
James JustinD 60%6 of 10 Pro 🔒
Caleb OkoliD 60%6 of 10 Pro 🔒
Nottingham Forest
Chris WoodF 90%9 of 10 Pro 🔒
Callum Hudson OdoiM 80%8 of 10 Pro 🔒
Ramón SosaF 75%3 of 4 Pro 🔒
Ryan YatesM 70%7 of 10 Pro 🔒
Neco WilliamsD 60%6 of 10 Pro 🔒
Anthony ElangaM 60%6 of 10 Pro 🔒
Elliot AndersonM 60%6 of 10 Pro 🔒

Leicester
No Leicester player in this window.
Nottingham Forest
Chris WoodF 90%9 of 10 Pro 🔒

Leicester
Facundo BuonanotteM 90%9 of 10 Pro 🔒
Ricardo PereiraD 80%8 of 10 Pro 🔒
Jordan AyewF 70%7 of 10 Pro 🔒
Wilfred NdidiM 70%7 of 10 Pro 🔒
Stephy MavididiM 60%6 of 10 Pro 🔒
Caleb OkoliD 60%6 of 10 Pro 🔒
Nottingham Forest
Ryan YatesM 80%8 of 10 Pro 🔒
MurilloD 70%7 of 10 Pro 🔒
Elliot AndersonM 70%7 of 10 Pro 🔒
Álex MorenoD 60%6 of 10 Pro 🔒
Chris WoodF 60%6 of 10 Pro 🔒
Nicolás DomínguezM 60%6 of 10 Pro 🔒

Leicester
James JustinD 80%8 of 10 Pro 🔒
Facundo BuonanotteM 70%7 of 10 Pro 🔒
Wilfred NdidiM 70%7 of 10 Pro 🔒
Ricardo PereiraD 60%6 of 10 Pro 🔒
Stephy MavididiM 60%6 of 10 Pro 🔒
Boubakary SoumaréM 60%6 of 10 Pro 🔒
Caleb OkoliD 60%6 of 10 Pro 🔒
Nottingham Forest
Elliot AndersonM 90%9 of 10 Pro 🔒
Ryan YatesM 80%8 of 10 Pro 🔒
Chris WoodF 70%7 of 10 Pro 🔒
Ola AinaD 70%7 of 10 Pro 🔒
Callum Hudson OdoiM 70%7 of 10 Pro 🔒
Anthony ElangaM 70%7 of 10 Pro 🔒
Taiwo AwoniyiF 60%6 of 10 Pro 🔒

Leicester
Facundo BuonanotteM 60%6 of 10 Pro 🔒
Nottingham Forest
Ryan YatesM 70%7 of 10 Pro 🔒

Leicester
Facundo BuonanotteM 100%10 of 10 Pro 🔒
Ricardo PereiraD 100%10 of 10 Pro 🔒
Caleb OkoliD 90%9 of 10 Pro 🔒
Wilfred NdidiM 80%8 of 10 Pro 🔒
Wout FaesD 70%7 of 10 Pro 🔒
Stephy MavididiM 70%7 of 10 Pro 🔒
James JustinD 70%7 of 10 Pro 🔒
Boubakary SoumaréM 70%7 of 10 Pro 🔒
Jordan AyewF 60%6 of 10 Pro 🔒
Harry WinksM 60%6 of 10 Pro 🔒
Nottingham Forest
Ryan YatesM 80%8 of 10 Pro 🔒
Elliot AndersonM 80%8 of 10 Pro 🔒
Ola AinaD 70%7 of 10 Pro 🔒
Nikola MilenkovićD 70%7 of 10 Pro 🔒
MurilloD 60%6 of 10 Pro 🔒
Callum Hudson OdoiM 60%6 of 10 Pro 🔒
Nicolás DomínguezM 60%6 of 10 Pro 🔒
Neco WilliamsD 60%6 of 10 Pro 🔒

Leicester
Ricardo PereiraD 80%8 of 10 Pro 🔒
Wilfred NdidiM 80%8 of 10 Pro 🔒
Caleb OkoliD 80%8 of 10 Pro 🔒
Facundo BuonanotteM 70%7 of 10 Pro 🔒
Nottingham Forest
Ola AinaD 70%7 of 10 Pro 🔒

Leicester
Ricardo PereiraD 60%6 of 10 Pro 🔒
Wilfred NdidiM 60%6 of 10 Pro 🔒
Nottingham Forest
No Nottingham Forest player in this window.

Leicester
Jamie VardyF 40%4 of 10 Stats only
Facundo BuonanotteM 30%3 of 10 Stats only
Nottingham Forest
Chris WoodF 60%6 of 10 Stats only

Leicester
Abdul Fatawu IssahakuM 30%3 of 10 Stats only
Wilfred NdidiM 30%3 of 10 Stats only
Nottingham Forest
No Nottingham Forest player in this window.

Leicester
Mads HermansenG 60%6 of 10 Stats only
Nottingham Forest
No Nottingham Forest 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.