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Player stats 25/26

West Brom v Oxford United

Your slip follows you between games.

How often each West Brom and Oxford United 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 West Brom v Oxford United: Isaac Price (West Brom) 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.

West Brom
Isaac PriceM 90%9 of 10 Pro 🔒
Mikey JohnstonM 80%8 of 10 Pro 🔒
Samuel Iling JuniorF 80%8 of 10 Pro 🔒
Nathaniel PhillipsD 70%7 of 10 Pro 🔒
Alex MowattM 60%6 of 10 Pro 🔒
Karlan GrantM 60%6 of 10 Pro 🔒
Jayson MolumbyM 60%6 of 10 Pro 🔒
Oxford United
Cameron BrannaganM 100%10 of 10 Pro 🔒
Will LankshearF 80%8 of 10 Pro 🔒
Will VaulksM 70%7 of 10 Pro 🔒
Greg LeighD 70%7 of 10 Pro 🔒
Stanley MillsM 60%6 of 10 Pro 🔒

West Brom
Isaac PriceM 70%7 of 10 Pro 🔒
Oxford United
Cameron BrannaganM 70%7 of 10 Pro 🔒
Will LankshearF 60%6 of 10 Pro 🔒

West Brom
Isaac PriceM 60%6 of 10 Pro 🔒
Oxford United
No Oxford United player in this window.

West Brom
Callum StylesD 80%8 of 10 Pro 🔒
Jayson MolumbyM 80%8 of 10 Pro 🔒
Krystian BielikD 70%7 of 10 Pro 🔒
Nathaniel PhillipsD 60%6 of 10 Pro 🔒
Samuel Iling JuniorF 60%6 of 10 Pro 🔒
Oxford United
Will LankshearF 90%9 of 10 Pro 🔒
Filip KrastevM 86%6 of 7 Pro 🔒
Stanley MillsM 60%6 of 10 Pro 🔒
Sam LongD 60%6 of 10 Pro 🔒

West Brom
Krystian BielikD 60%6 of 10 Pro 🔒
Oxford United
Will LankshearF 60%6 of 10 Pro 🔒

West Brom
Isaac PriceM 80%8 of 10 Pro 🔒
Karlan GrantM 70%7 of 10 Pro 🔒
Callum StylesD 70%7 of 10 Pro 🔒
Ousmane DiakitéM 70%7 of 10 Pro 🔒
Samuel Iling JuniorF 70%7 of 10 Pro 🔒
Alex MowattM 60%6 of 10 Pro 🔒
Jayson MolumbyM 60%6 of 10 Pro 🔒
Oxford United
Will LankshearF 80%8 of 10 Pro 🔒
Siriki DembéléM 80%8 of 10 Pro 🔒
Ciaron BrownD 80%8 of 10 Pro 🔒
Filip KrastevM 71%5 of 7 Pro 🔒
Cameron BrannaganM 70%7 of 10 Pro 🔒
Michał HelikD 60%6 of 10 Pro 🔒

West Brom
No West Brom player in this window.
Oxford United
Filip KrastevM 71%5 of 7 Pro 🔒

West Brom
Callum StylesD 80%8 of 10 Pro 🔒
Krystian BielikD 70%7 of 10 Pro 🔒
Ousmane DiakitéM 70%7 of 10 Pro 🔒
Nathaniel PhillipsD 70%7 of 10 Pro 🔒
Alfie GilchristD 60%6 of 10 Pro 🔒
Alex MowattM 60%6 of 10 Pro 🔒
Mikey JohnstonM 60%6 of 10 Pro 🔒
Samuel Iling JuniorF 60%6 of 10 Pro 🔒
Oxford United
Filip KrastevM 100%7 of 7 Pro 🔒
Cameron BrannaganM 90%9 of 10 Pro 🔒
Stanley MillsM 70%7 of 10 Pro 🔒
Sam LongD 70%7 of 10 Pro 🔒
Will LankshearF 60%6 of 10 Pro 🔒
Will VaulksM 60%6 of 10 Pro 🔒
Ciaron BrownD 60%6 of 10 Pro 🔒

West Brom
Callum StylesD 60%6 of 10 Pro 🔒
Oxford United
Filip KrastevM 71%5 of 7 Pro 🔒

West Brom
No West Brom player in this window.
Oxford United
Will LankshearF 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
Jacob Miles refereed this match

3 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.