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Player stats 22/23

Wigan Athletic v Stoke City

Your slip follows you between games.

How often each Wigan Athletic and Stoke City 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 Wigan Athletic v Stoke City: Will Keane (Wigan Athletic) leads the home side 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.

Wigan Athletic
Will KeaneF 100%10 of 10 Pro 🔒
Thelo AasgaardM 70%7 of 10 Pro 🔒
James McCleanM 70%7 of 10 Pro 🔒
Jordan CousinsM 67%2 of 3 Pro 🔒
Max PowerM 60%6 of 10 Pro 🔒
Charlie WykeF 60%6 of 10 Pro 🔒
Jack WhatmoughD 60%6 of 10 Pro 🔒
Josh MagennisF 60%6 of 10 Pro 🔒
Nathan BroadheadF 60%6 of 10 Pro 🔒
Stoke City
Jacob BrownF 90%9 of 10 Pro 🔒
Lewis BakerM 80%8 of 10 Pro 🔒
Dwight GayleF 80%8 of 10 Pro 🔒
Phil JagielkaD 75%6 of 8 Pro 🔒
Josh TymonM 75%3 of 4 Pro 🔒
Tariqe Fosu-HenryM 60%6 of 10 Pro 🔒
Liam DelapF 60%6 of 10 Pro 🔒

Wigan Athletic
Will KeaneF 60%6 of 10 Pro 🔒
Stoke City
Jacob BrownF 70%7 of 10 Pro 🔒

Wigan Athletic
Will KeaneF 60%6 of 10 Pro 🔒
Stoke City
No Stoke City player in this window.

Wigan Athletic
Curtis TiltD 70%7 of 10 Pro 🔒
Max PowerM 60%6 of 10 Pro 🔒
Charlie WykeF 60%6 of 10 Pro 🔒
James McCleanM 60%6 of 10 Pro 🔒
Stoke City
Dwight GayleF 70%7 of 10 Pro 🔒
Jacob BrownF 70%7 of 10 Pro 🔒
Liam DelapF 70%7 of 10 Pro 🔒
Harry ClarkeM 67%6 of 9 Pro 🔒
Jordan ThompsonM 60%6 of 10 Pro 🔒
Tariqe Fosu-HenryM 60%6 of 10 Pro 🔒
Will SmallboneM 60%6 of 10 Pro 🔒

Wigan Athletic
Charlie WykeF 80%8 of 10 Pro 🔒
Max PowerM 70%7 of 10 Pro 🔒
Curtis TiltD 70%7 of 10 Pro 🔒
Jordan CousinsM 67%2 of 3 Pro 🔒
Thelo AasgaardM 60%6 of 10 Pro 🔒
Jason KerrD 60%6 of 10 Pro 🔒
Stoke City
Nick PowellF 83%5 of 6 Pro 🔒
Tariqe Fosu-HenryM 80%8 of 10 Pro 🔒
Dwight GayleF 70%7 of 10 Pro 🔒
Jordan ThompsonM 70%7 of 10 Pro 🔒
Jacob BrownF 70%7 of 10 Pro 🔒
Will SmallboneM 70%7 of 10 Pro 🔒
Phil JagielkaD 62%5 of 8 Pro 🔒
Liam DelapF 60%6 of 10 Pro 🔒

Wigan Athletic
Curtis TiltD 60%6 of 10 Pro 🔒
Stoke City
No Stoke City player in this window.

Wigan Athletic
James McCleanM 100%10 of 10 Pro 🔒
Will KeaneF 100%10 of 10 Pro 🔒
Jordan CousinsM 100%3 of 3 Pro 🔒
Max PowerM 80%8 of 10 Pro 🔒
Jack WhatmoughD 80%8 of 10 Pro 🔒
Tendayi DarikwaM 70%7 of 10 Pro 🔒
Jason KerrD 70%7 of 10 Pro 🔒
Curtis TiltD 70%7 of 10 Pro 🔒
Tom NaylorM 60%6 of 10 Pro 🔒
Stoke City
Morgan FoxD 90%9 of 10 Pro 🔒
Will SmallboneM 90%9 of 10 Pro 🔒
Jordan ThompsonM 80%8 of 10 Pro 🔒
Tariqe Fosu-HenryM 70%7 of 10 Pro 🔒
Ben WilmotD 70%7 of 10 Pro 🔒
Phil JagielkaD 62%5 of 8 Pro 🔒
Jacob BrownF 60%6 of 10 Pro 🔒

Wigan Athletic
James McCleanM 70%7 of 10 Pro 🔒
Will KeaneF 60%6 of 10 Pro 🔒
Stoke City
Will SmallboneM 70%7 of 10 Pro 🔒
Morgan FoxD 60%6 of 10 Pro 🔒
Ben WilmotD 60%6 of 10 Pro 🔒

Wigan Athletic
Will KeaneF 40%4 of 10 Stats only
Stoke City
Ben WilmotD 30%3 of 10 Stats only

Wigan Athletic
No Wigan Athletic player in this window.
Stoke City
Lewis BakerM 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-20% cards vs the league average
Samuel Barrott refereed this match 3.21cards a gameleague 4.01 28games
Samuel Barrott'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.