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SharpXI©
Player stats 23/24

Nottingham Forest v Burnley

Your slip follows you between games.

How often each Nottingham Forest and Burnley 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 Burnley: Taiwo Awoniyi (Nottingham Forest) leads the home side for 1+ shots on target — 8 of 10 (80%); Aaron Ramsey (Burnley) tops the visitors on 7 of 10 (70%). 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
Taiwo AwoniyiF 100%10 of 10 Pro 🔒
Morgan Gibbs-WhiteM 90%9 of 10 Pro 🔒
Brennan JohnsonF 60%6 of 10 Pro 🔒
Anthony ElangaF 60%6 of 10 Pro 🔒
Burnley
Aaron RamseyM 70%7 of 10 Pro 🔒
Jay RodriguezF 70%7 of 10 Pro 🔒
Sander BergeM 70%7 of 10 Pro 🔒
Josh BrownhillM 60%6 of 10 Pro 🔒
Jacob Bruun LarsenF 60%6 of 10 Pro 🔒
Lyle FosterF 60%6 of 10 Pro 🔒

Nottingham Forest
Morgan Gibbs-WhiteM 70%7 of 10 Pro 🔒
Burnley
No Burnley player in this window.

Nottingham Forest
Taiwo AwoniyiF 80%8 of 10 Pro 🔒
Morgan Gibbs-WhiteM 60%6 of 10 Pro 🔒
Burnley
Aaron RamseyM 70%7 of 10 Pro 🔒

Nottingham Forest
Ryan YatesM 80%8 of 10 Pro 🔒
Gonzalo MontielDform earned at Sevilla 70%7 of 10 Pro 🔒
Morgan Gibbs-WhiteM 70%7 of 10 Pro 🔒
Willy BolyD 60%6 of 10 Pro 🔒
Taiwo AwoniyiF 60%6 of 10 Pro 🔒
Burnley
Josh BrownhillM 70%7 of 10 Pro 🔒
Josh CullenM 70%7 of 10 Pro 🔒
Sander BergeM 60%6 of 10 Pro 🔒

Nottingham Forest
Neco WilliamsD 80%8 of 10 Pro 🔒
Ryan YatesM 70%7 of 10 Pro 🔒
Morgan Gibbs-WhiteM 70%7 of 10 Pro 🔒
Brennan JohnsonF 60%6 of 10 Pro 🔒
Taiwo AwoniyiF 60%6 of 10 Pro 🔒
Burnley
Josh CullenM 70%7 of 10 Pro 🔒
Hjalmar EkdalD 67%6 of 9 Pro 🔒
Aaron RamseyM 60%6 of 10 Pro 🔒
Wilson OdobertFform earned at Troyes 60%6 of 10 Pro 🔒
Ameen Al-DakhilD 60%6 of 10 Pro 🔒

Nottingham Forest
Ryan YatesM 80%8 of 10 Pro 🔒
Brennan JohnsonF 70%7 of 10 Pro 🔒
Morgan Gibbs-WhiteM 70%7 of 10 Pro 🔒
Neco WilliamsD 70%7 of 10 Pro 🔒
Moussa NiakhatéD 60%6 of 10 Pro 🔒
Gonzalo MontielDform earned at Sevilla 60%6 of 10 Pro 🔒
Burnley
Josh CullenM 90%9 of 10 Pro 🔒
Ameen Al-DakhilD 80%8 of 10 Pro 🔒
Josh BrownhillM 80%8 of 10 Pro 🔒
Hjalmar EkdalD 78%7 of 9 Pro 🔒
Lyle FosterF 70%7 of 10 Pro 🔒

Nottingham Forest
Neco WilliamsD 70%7 of 10 Pro 🔒
Burnley
Josh BrownhillM 60%6 of 10 Pro 🔒

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

Nottingham Forest
Taiwo AwoniyiF 70%7 of 10 Stats only
Morgan Gibbs-WhiteM 30%3 of 10 Stats only
Burnley
Aaron RamseyM 40%4 of 10 Stats only

Nottingham Forest
Morgan Gibbs-WhiteM 40%4 of 10 Stats only
Burnley
No Burnley player in this window.

Nottingham Forest
Matt TurnerG 67%2 of 3 Stats only
Burnley
No Burnley player in this window.

Nottingham Forest
Matt TurnerG 67%2 of 3 Stats only
Burnley
No Burnley player in this window.

Nottingham Forest
Matt TurnerG 67%2 of 3 Stats only
Burnley
No Burnley 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
Robert Madley refereed this match

7 matches on record — too few to quote a card rate against. See the 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.