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Player stats 25/26

Oxford United v Wrexham

Your slip follows you between games.

How often each Oxford United and Wrexham 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 Oxford United v Wrexham: Will Lankshear (Oxford United) leads the home side for 1+ shots on target — 7 of 10 (70%); Josh Windass (Wrexham) 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.

Oxford United
Will LankshearF 100%10 of 10 Pro 🔒
Cameron BrannaganM 100%10 of 10 Pro 🔒
Ciaron BrownD 80%8 of 10 Pro 🔒
Myles Peart-HarrisM 80%8 of 10 Pro 🔒
Stanley MillsM 70%7 of 10 Pro 🔒
Jamie DonleyM 70%7 of 10 Pro 🔒
Yunus KonakM 60%6 of 10 Pro 🔒
Michał HelikD 60%6 of 10 Pro 🔒
Wrexham
Josh WindassF 70%7 of 10 Pro 🔒
Oliver RathboneM 60%6 of 10 Pro 🔒

Oxford United
Cameron BrannaganM 80%8 of 10 Pro 🔒
Stanley MillsM 60%6 of 10 Pro 🔒
Wrexham
No Wrexham player in this window.

Oxford United
Will LankshearF 70%7 of 10 Pro 🔒
Wrexham
Josh WindassF 60%6 of 10 Pro 🔒

Oxford United
Stanley MillsM 90%9 of 10 Pro 🔒
Will LankshearF 90%9 of 10 Pro 🔒
Brodie SpencerD 70%7 of 10 Pro 🔒
Jamie McDonnellM 67%6 of 9 Pro 🔒
Sam LongD 60%6 of 10 Pro 🔒
Michał HelikD 60%6 of 10 Pro 🔒
Wrexham
George ThomasonM 80%8 of 10 Pro 🔒
Callum DoyleD 80%8 of 10 Pro 🔒
George DobsonM 80%8 of 10 Pro 🔒
Dominic HyamD 70%7 of 10 Pro 🔒
Kieffer MooreF 60%6 of 10 Pro 🔒
Oliver RathboneM 60%6 of 10 Pro 🔒
Sam SmithF 60%6 of 10 Pro 🔒
Lewis O'BrienM 60%6 of 10 Pro 🔒

Oxford United
Will LankshearF 60%6 of 10 Pro 🔒
Wrexham
No Wrexham player in this window.

Oxford United
Will LankshearF 80%8 of 10 Pro 🔒
Yunus KonakM 80%8 of 10 Pro 🔒
Mark HarrisF 70%7 of 10 Pro 🔒
Sam LongD 60%6 of 10 Pro 🔒
Myles Peart-HarrisM 60%6 of 10 Pro 🔒
Wrexham
Issa KaboréD 80%8 of 10 Pro 🔒
Lewis O'BrienM 80%8 of 10 Pro 🔒
George ThomasonM 70%7 of 10 Pro 🔒
Kieffer MooreF 60%6 of 10 Pro 🔒

Oxford United
Stanley MillsM 100%10 of 10 Pro 🔒
Jamie DonleyM 90%9 of 10 Pro 🔒
Cameron BrannaganM 90%9 of 10 Pro 🔒
Brodie SpencerD 80%8 of 10 Pro 🔒
Yunus KonakM 80%8 of 10 Pro 🔒
Hidde ter AvestD 80%8 of 10 Pro 🔒
Sam LongD 60%6 of 10 Pro 🔒
Ciaron BrownD 60%6 of 10 Pro 🔒
Myles Peart-HarrisM 60%6 of 10 Pro 🔒
Wrexham
Lewis O'BrienM 100%10 of 10 Pro 🔒
Max CleworthD 90%9 of 10 Pro 🔒
George ThomasonM 90%9 of 10 Pro 🔒
George DobsonM 90%9 of 10 Pro 🔒
Oliver RathboneM 90%9 of 10 Pro 🔒
Callum DoyleD 70%7 of 10 Pro 🔒
Dominic HyamD 70%7 of 10 Pro 🔒
Matty JamesM 60%6 of 10 Pro 🔒
Ryan LongmanM 60%6 of 10 Pro 🔒

Oxford United
Brodie SpencerD 80%8 of 10 Pro 🔒
Stanley MillsM 60%6 of 10 Pro 🔒
Cameron BrannaganM 60%6 of 10 Pro 🔒
Wrexham
George ThomasonM 80%8 of 10 Pro 🔒
Max CleworthD 70%7 of 10 Pro 🔒
George DobsonM 70%7 of 10 Pro 🔒
Oliver RathboneM 60%6 of 10 Pro 🔒
Lewis O'BrienM 60%6 of 10 Pro 🔒

Oxford United
Will LankshearF 30%3 of 10 Stats only
Wrexham
Josh WindassF 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
Matt Donohue refereed this match 4.37cards a gameleague 4.01 111games
Matt Donohue'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.