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Player stats 22/23

Coventry City v Wigan Athletic

Your slip follows you between games.

How often each Coventry City 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 Coventry City v Wigan Athletic: Viktor Gyökeres (Coventry City) leads the home side for 1+ shots on target — 7 of 10 (70%); Will Keane (Wigan Athletic) 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.

Coventry City
Viktor GyökeresF 100%10 of 10 Pro 🔒
Callum O'HareF 100%5 of 5 Pro 🔒
Gustavo HamerM 90%9 of 10 Pro 🔒
Ben SheafM 70%7 of 10 Pro 🔒
Kasey PalmerF 60%6 of 10 Pro 🔒
Wigan Athletic
Will KeaneF 100%10 of 10 Pro 🔒
Nathan BroadheadF 80%8 of 10 Pro 🔒
Jordan CousinsM 75%3 of 4 Pro 🔒
Charlie WykeF 70%7 of 10 Pro 🔒
James McCleanM 70%7 of 10 Pro 🔒
Callum LangF 70%7 of 10 Pro 🔒
Thelo AasgaardM 60%6 of 10 Pro 🔒
Josh MagennisF 60%6 of 10 Pro 🔒

Coventry City
Gustavo HamerM 90%9 of 10 Pro 🔒
Viktor GyökeresF 60%6 of 10 Pro 🔒
Wigan Athletic
Will KeaneF 60%6 of 10 Pro 🔒

Coventry City
Gustavo HamerM 60%6 of 10 Pro 🔒
Wigan Athletic
No Wigan Athletic player in this window.

Coventry City
Viktor GyökeresF 70%7 of 10 Pro 🔒
Gustavo HamerM 60%6 of 10 Pro 🔒
Callum O'HareF 60%3 of 5 Pro 🔒
Wigan Athletic
Will KeaneF 60%6 of 10 Pro 🔒

Coventry City
Ben SheafM 100%10 of 10 Pro 🔒
Viktor GyökeresF 80%8 of 10 Pro 🔒
Jake BidwellM 70%7 of 10 Pro 🔒
Josh EcclesM 70%7 of 10 Pro 🔒
Kyle McFadzeanD 60%6 of 10 Pro 🔒
Gustavo HamerM 60%6 of 10 Pro 🔒
Jonathan PanzoD 60%6 of 10 Pro 🔒
Wigan Athletic
Callum LangF 80%8 of 10 Pro 🔒
Max PowerM 70%7 of 10 Pro 🔒
Charlie WykeF 70%7 of 10 Pro 🔒
Curtis TiltD 70%7 of 10 Pro 🔒
James McCleanM 60%6 of 10 Pro 🔒
Graeme ShinnieM 60%6 of 10 Pro 🔒
Will KeaneF 60%6 of 10 Pro 🔒

Coventry City
Viktor GyökeresF 80%8 of 10 Pro 🔒
Jamie AllenM 60%6 of 10 Pro 🔒
Kasey PalmerF 60%6 of 10 Pro 🔒
Callum O'HareF 60%3 of 5 Pro 🔒
Wigan Athletic
Callum LangF 100%10 of 10 Pro 🔒
Max PowerM 80%8 of 10 Pro 🔒
Charlie WykeF 80%8 of 10 Pro 🔒
Graeme ShinnieM 70%7 of 10 Pro 🔒
Curtis TiltD 70%7 of 10 Pro 🔒
Thelo AasgaardM 60%6 of 10 Pro 🔒

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

Coventry City
Ben SheafM 100%10 of 10 Pro 🔒
Jamie AllenM 90%9 of 10 Pro 🔒
Kasey PalmerF 90%9 of 10 Pro 🔒
Gustavo HamerM 90%9 of 10 Pro 🔒
Jonathan PanzoD 90%9 of 10 Pro 🔒
Callum DoyleD 80%8 of 10 Pro 🔒
Josh EcclesM 80%8 of 10 Pro 🔒
Jake BidwellM 70%7 of 10 Pro 🔒
Kyle McFadzeanD 70%7 of 10 Pro 🔒
Michael RoseD 60%6 of 10 Pro 🔒
Wigan Athletic
James McCleanM 100%10 of 10 Pro 🔒
Jordan CousinsM 100%4 of 4 Pro 🔒
Max PowerM 90%9 of 10 Pro 🔒
Will KeaneF 90%9 of 10 Pro 🔒
Tendayi DarikwaM 70%7 of 10 Pro 🔒
Jack WhatmoughD 70%7 of 10 Pro 🔒
Curtis TiltD 70%7 of 10 Pro 🔒
Graeme ShinnieM 60%6 of 10 Pro 🔒
Callum LangF 60%6 of 10 Pro 🔒

Coventry City
Ben SheafM 80%8 of 10 Pro 🔒
Gustavo HamerM 80%8 of 10 Pro 🔒
Kyle McFadzeanD 60%6 of 10 Pro 🔒
Jonathan PanzoD 60%6 of 10 Pro 🔒
Wigan Athletic
James McCleanM 70%7 of 10 Pro 🔒

Coventry City
Viktor GyökeresF 40%4 of 10 Stats only
Gustavo HamerM 30%3 of 10 Stats only
Wigan Athletic
Will KeaneF 40%4 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+12% cards vs the league average
Stephen Martin refereed this match 4.50cards a gameleague 4.01 96games
Stephen Martin'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.