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Player stats 22/23

Burnley v Wigan Athletic

Your slip follows you between games.

How often each Burnley and Wigan Athletic 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 Burnley v Wigan Athletic: Ashley Barnes (Burnley) leads the home side for 1+ shots on target — 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.

Burnley
Nathan TellaM 90%9 of 10 Pro 🔒
Ashley BarnesF 80%8 of 10 Pro 🔒
Anass ZarouryM 80%8 of 10 Pro 🔒
VitinhoM 60%6 of 10 Pro 🔒
Wigan Athletic
Ashley FletcherF 80%8 of 10 Pro 🔒
Callum LangF 80%8 of 10 Pro 🔒
James McCleanM 70%7 of 10 Pro 🔒
Thelo AasgaardM 60%6 of 10 Pro 🔒
Will KeaneF 60%6 of 10 Pro 🔒

Burnley
Anass ZarouryM 70%7 of 10 Pro 🔒
Nathan TellaM 70%7 of 10 Pro 🔒
Ashley BarnesF 60%6 of 10 Pro 🔒
Wigan Athletic
Callum LangF 70%7 of 10 Pro 🔒

Burnley
Ashley BarnesF 70%7 of 10 Pro 🔒
Wigan Athletic
No Wigan Athletic player in this window.

Burnley
Ashley BarnesF 80%8 of 10 Pro 🔒
Josh CullenM 80%8 of 10 Pro 🔒
Jack CorkM 70%7 of 10 Pro 🔒
Nathan TellaM 70%7 of 10 Pro 🔒
Connor RobertsD 60%6 of 10 Pro 🔒
VitinhoM 60%6 of 10 Pro 🔒
Jordan BeyerD 60%6 of 10 Pro 🔒
Wigan Athletic
Omar RekikD 100%3 of 3 Pro 🔒
James McCleanM 90%9 of 10 Pro 🔒
Will KeaneF 90%9 of 10 Pro 🔒
Ashley FletcherF 80%8 of 10 Pro 🔒
Callum LangF 70%7 of 10 Pro 🔒
Charlie HughesD 60%6 of 10 Pro 🔒
Max PowerM 60%6 of 10 Pro 🔒
Steven CaulkerD 60%3 of 5 Pro 🔒

Burnley
Connor RobertsD 80%8 of 10 Pro 🔒
Josh CullenM 70%7 of 10 Pro 🔒
VitinhoM 70%7 of 10 Pro 🔒
Nathan TellaM 70%7 of 10 Pro 🔒
Ashley BarnesF 60%6 of 10 Pro 🔒
Jordan BeyerD 60%6 of 10 Pro 🔒
Wigan Athletic
Callum LangF 90%9 of 10 Pro 🔒
Ashley FletcherF 80%8 of 10 Pro 🔒
Omar RekikD 67%2 of 3 Pro 🔒
Tom NaylorM 60%6 of 10 Pro 🔒
James McCleanM 60%6 of 10 Pro 🔒

Burnley
Connor RobertsD 60%6 of 10 Pro 🔒
Wigan Athletic
No Wigan Athletic player in this window.

Burnley
Ian MaatsenD 90%9 of 10 Pro 🔒
Hjalmar EkdalD 86%6 of 7 Pro 🔒
Jack CorkM 80%8 of 10 Pro 🔒
Josh CullenM 80%8 of 10 Pro 🔒
Anass ZarouryM 80%8 of 10 Pro 🔒
Connor RobertsD 60%6 of 10 Pro 🔒
VitinhoM 60%6 of 10 Pro 🔒
Jordan BeyerD 60%6 of 10 Pro 🔒
Wigan Athletic
Ryan NyambeD 100%10 of 10 Pro 🔒
Max PowerM 90%9 of 10 Pro 🔒
Tendayi DarikwaD 80%8 of 10 Pro 🔒
James McCleanM 80%8 of 10 Pro 🔒
Tom NaylorM 70%7 of 10 Pro 🔒
Ashley FletcherF 70%7 of 10 Pro 🔒
Steven CaulkerD 60%3 of 5 Pro 🔒

Burnley
Ian MaatsenD 70%7 of 10 Pro 🔒
VitinhoM 60%6 of 10 Pro 🔒
Jordan BeyerD 60%6 of 10 Pro 🔒
Wigan Athletic
Ryan NyambeD 80%8 of 10 Pro 🔒

Burnley
No Burnley player in this window.
Wigan Athletic
Steven CaulkerD 60%3 of 5 Pro 🔒

Burnley
Ashley BarnesF 30%3 of 10 Stats only
Michael ObafemiF 30%3 of 10 Stats only
Wigan Athletic
No Wigan Athletic player in this window.

Burnley
Jóhann GuðmundssonM 30%3 of 10 Stats only
Wigan Athletic
James McCleanM 30%3 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
John Busby refereed this match 3.80cards a gameleague 4.01 101games
John Busby'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.