Updated daily through the season. Spot something off? Tell usUpdated daily. Tell us
SharpXI©
Player stats 24/25

Nottingham Forest v Leicester

Your slip follows you between games.

How often each Nottingham Forest and Leicester 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 Leicester: Chris Wood (Nottingham Forest) leads the home side for 1+ shots on target — 6 of 10 (60%); Jamie Vardy (Leicester) tops the visitors on 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.

Nottingham Forest
Chris WoodF 90%9 of 10 Pro 🔒
Jota SilvaF 70%7 of 10 Pro 🔒
Morgan Gibbs-WhiteM 70%7 of 10 Pro 🔒
Neco WilliamsD 70%7 of 10 Pro 🔒
Anthony ElangaM 60%6 of 10 Pro 🔒
Elliot AndersonM 60%6 of 10 Pro 🔒
Leicester
Bilal El KhannoussM 90%9 of 10 Pro 🔒
Jordan AyewM 60%6 of 10 Pro 🔒
Facundo BuonanotteM 60%6 of 10 Pro 🔒
Jamie VardyF 60%6 of 10 Pro 🔒

Nottingham Forest
Chris WoodF 60%6 of 10 Pro 🔒
Leicester
No Leicester player in this window.

Nottingham Forest
Chris WoodF 60%6 of 10 Pro 🔒
Leicester
Jamie VardyF 60%6 of 10 Pro 🔒

Nottingham Forest
Elliot AndersonM 90%9 of 10 Pro 🔒
Chris WoodF 80%8 of 10 Pro 🔒
Ryan YatesM 80%8 of 10 Pro 🔒
Morgan Gibbs-WhiteM 80%8 of 10 Pro 🔒
Nicolás DomínguezM 70%7 of 10 Pro 🔒
Neco WilliamsD 70%7 of 10 Pro 🔒
Leicester
Facundo BuonanotteM 80%8 of 10 Pro 🔒
Wilfred NdidiM 80%8 of 10 Pro 🔒
Kasey McAteerM 70%7 of 10 Pro 🔒
Caleb OkoliD 70%7 of 10 Pro 🔒
Jordan AyewM 60%6 of 10 Pro 🔒
Jamie VardyF 60%6 of 10 Pro 🔒
James JustinD 60%6 of 10 Pro 🔒

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

Nottingham Forest
Morgan Gibbs-WhiteM 80%8 of 10 Pro 🔒
Elliot AndersonM 80%8 of 10 Pro 🔒
Anthony ElangaM 60%6 of 10 Pro 🔒
Leicester
Kasey McAteerM 80%8 of 10 Pro 🔒
Jordan AyewM 70%7 of 10 Pro 🔒
Boubakary SoumaréM 70%7 of 10 Pro 🔒
Wilfred NdidiM 60%6 of 10 Pro 🔒

Nottingham Forest
Nicolás DomínguezM 90%9 of 10 Pro 🔒
Neco WilliamsD 90%9 of 10 Pro 🔒
Elliot AndersonM 90%9 of 10 Pro 🔒
Jota SilvaF 70%7 of 10 Pro 🔒
Nikola MilenkovićD 70%7 of 10 Pro 🔒
Morgan Gibbs-WhiteM 60%6 of 10 Pro 🔒
Leicester
Wilfred NdidiM 100%10 of 10 Pro 🔒
Luke ThomasD 100%10 of 10 Pro 🔒
Victor KristiansenD 90%9 of 10 Pro 🔒
Bilal El KhannoussM 90%9 of 10 Pro 🔒
Facundo BuonanotteM 80%8 of 10 Pro 🔒
Wout FaesD 60%6 of 10 Pro 🔒
James JustinD 60%6 of 10 Pro 🔒

Nottingham Forest
Neco WilliamsD 80%8 of 10 Pro 🔒
Elliot AndersonM 80%8 of 10 Pro 🔒
Nicolás DomínguezM 60%6 of 10 Pro 🔒
Leicester
Wilfred NdidiM 80%8 of 10 Pro 🔒
Victor KristiansenD 70%7 of 10 Pro 🔒
Luke ThomasD 70%7 of 10 Pro 🔒

Nottingham Forest
Neco WilliamsD 60%6 of 10 Pro 🔒
Leicester
Wilfred NdidiM 60%6 of 10 Pro 🔒

Nottingham Forest
Jota SilvaF 30%3 of 10 Stats only
Chris WoodF 30%3 of 10 Stats only
Leicester
No Leicester 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
Tony Harrington refereed this match 3.83cards a gameleague 4.08 48games
Tony Harrington'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.