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Player stats 25/26

Oxford United v Preston North End

Your slip follows you between games.

How often each Oxford United and Preston North End 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 Preston North End: Lewis Dobbin (Preston North End) tops the visitors 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.

Oxford United
Will VaulksM 90%9 of 10 Pro 🔒
Tyler GoodrhamF 90%9 of 10 Pro 🔒
Stanley MillsM 80%8 of 10 Pro 🔒
Greg LeighM 70%7 of 10 Pro 🔒
Preston North End
Daniel JebbisonF 90%9 of 10 Pro 🔒
Lewis DobbinF 90%9 of 10 Pro 🔒
Alfie DevineM 80%8 of 10 Pro 🔒
Thierry SmallM 70%7 of 10 Pro 🔒

Oxford United
Tyler GoodrhamF 70%7 of 10 Pro 🔒
Preston North End
Lewis DobbinF 70%7 of 10 Pro 🔒
Daniel JebbisonF 60%6 of 10 Pro 🔒

Oxford United
No Oxford United player in this window.
Preston North End
Lewis DobbinF 70%7 of 10 Pro 🔒
Daniel JebbisonF 60%6 of 10 Pro 🔒

Oxford United
Will LankshearF 100%10 of 10 Pro 🔒
Jack CurrieD 70%7 of 10 Pro 🔒
Stanley MillsM 70%7 of 10 Pro 🔒
Michał HelikD 70%7 of 10 Pro 🔒
Hidde ter AvestM 70%7 of 10 Pro 🔒
Tyler GoodrhamF 70%7 of 10 Pro 🔒
Preston North End
Michael SmithF 80%8 of 10 Pro 🔒
Jordan ThompsonM 80%8 of 10 Pro 🔒
Andrew HughesD 70%7 of 10 Pro 🔒
Odeluga OffiahD 60%6 of 10 Pro 🔒
Daniel JebbisonF 60%6 of 10 Pro 🔒
Harrison ArmstrongM 60%6 of 10 Pro 🔒
Ben WhitemanF 60%6 of 10 Pro 🔒
Mads FrøkjærM 60%6 of 10 Pro 🔒

Oxford United
Tyler GoodrhamF 70%7 of 10 Pro 🔒
Jack CurrieD 60%6 of 10 Pro 🔒
Nik PrelecF 60%6 of 10 Pro 🔒
Ciaron BrownD 60%6 of 10 Pro 🔒
Preston North End
Harrison ArmstrongM 70%7 of 10 Pro 🔒
Jordan StoreyD 70%7 of 10 Pro 🔒
Odeluga OffiahD 60%6 of 10 Pro 🔒
Andrew HughesD 60%6 of 10 Pro 🔒

Oxford United
Jack CurrieD 100%10 of 10 Pro 🔒
Hidde ter AvestM 100%10 of 10 Pro 🔒
Will VaulksM 70%7 of 10 Pro 🔒
Michał HelikD 70%7 of 10 Pro 🔒
Tyler GoodrhamF 70%7 of 10 Pro 🔒
Stanley MillsM 60%6 of 10 Pro 🔒
Ciaron BrownD 60%6 of 10 Pro 🔒
Preston North End
Odeluga OffiahD 90%9 of 10 Pro 🔒
Harrison ArmstrongM 90%9 of 10 Pro 🔒
Ben WhitemanF 90%9 of 10 Pro 🔒
Jordan StoreyD 80%8 of 10 Pro 🔒
Alfie DevineM 70%7 of 10 Pro 🔒
Andrew HughesD 70%7 of 10 Pro 🔒
Pol ValentínM 70%7 of 10 Pro 🔒

Oxford United
Jack CurrieD 70%7 of 10 Pro 🔒
Will VaulksM 60%6 of 10 Pro 🔒
Hidde ter AvestM 60%6 of 10 Pro 🔒
Preston North End
Odeluga OffiahD 70%7 of 10 Pro 🔒

Oxford United
No Oxford United player in this window.
Preston North End
Odeluga OffiahD 60%6 of 10 Pro 🔒

Oxford United
No Oxford United player in this window.
Preston North End
Daniel JebbisonF 40%4 of 10 Stats only
Lewis DobbinF 30%3 of 10 Stats only

Oxford United
No Oxford United player in this window.
Preston North End
Lewis DobbinF 30%3 of 10 Stats only

Oxford United
Jamie CummingG 70%7 of 10 Stats only
Preston North End
Daniel IversenG 60%6 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
James Linington refereed this match 4.09cards a gameleague 4.01 82games
James Linington'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.