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Player stats 25/26

Oxford United v Blackburn Rovers

Your slip follows you between games.

How often each Oxford United and Blackburn Rovers 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 Blackburn Rovers: Stanley Mills (Oxford United) leads the home side for 1+ shots — 9 of 10 (90%); Yuki Ohashi (Blackburn Rovers) tops the visitors on 9 of 10 (90%). 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
Stanley MillsM 90%9 of 10 Pro 🔒
Cameron BrannaganM 80%8 of 10 Pro 🔒
Myles Peart-HarrisM 80%8 of 10 Pro 🔒
Blackburn Rovers
Yuki OhashiF 90%9 of 10 Pro 🔒
Todd CantwellM 80%8 of 10 Pro 🔒
Ryoya MorishitaF 70%7 of 10 Pro 🔒
Moussa BaradjiF 70%7 of 10 Pro 🔒
Mathias JørgensenF 60%6 of 10 Pro 🔒
Eiran CashinD 60%6 of 10 Pro 🔒

Oxford United
Stanley MillsM 60%6 of 10 Pro 🔒
Blackburn Rovers
Yuki OhashiF 70%7 of 10 Pro 🔒

Oxford United
Stanley MillsM 90%9 of 10 Pro 🔒
Jamie McDonnellM 83%5 of 6 Pro 🔒
Brodie SpencerD 80%8 of 10 Pro 🔒
Will LankshearF 80%8 of 10 Pro 🔒
Myles Peart-HarrisM 70%7 of 10 Pro 🔒
Mark HarrisF 60%6 of 10 Pro 🔒
Cameron BrannaganM 60%6 of 10 Pro 🔒
Blackburn Rovers
Ryan AlebiosuM 80%8 of 10 Pro 🔒
Todd CantwellM 80%8 of 10 Pro 🔒
Yuki OhashiF 80%8 of 10 Pro 🔒
Hayden CarterD 80%8 of 10 Pro 🔒
Ryoya MorishitaF 70%7 of 10 Pro 🔒
Eiran CashinD 70%7 of 10 Pro 🔒
Moussa BaradjiF 60%6 of 10 Pro 🔒

Oxford United
Nik PrelecF 80%8 of 10 Pro 🔒
Myles Peart-HarrisM 80%8 of 10 Pro 🔒
Stanley MillsM 70%7 of 10 Pro 🔒
Will LankshearF 70%7 of 10 Pro 🔒
Yunus KonakM 70%7 of 10 Pro 🔒
Cameron BrannaganM 70%7 of 10 Pro 🔒
Blackburn Rovers
Todd CantwellM 90%9 of 10 Pro 🔒
Ryoya MorishitaF 80%8 of 10 Pro 🔒
Moussa BaradjiF 70%7 of 10 Pro 🔒
Oladapo AfolayanF 60%6 of 10 Pro 🔒
Sidnei TavaresM 60%6 of 10 Pro 🔒

Oxford United
Myles Peart-HarrisM 70%7 of 10 Pro 🔒
Blackburn Rovers
Todd CantwellM 80%8 of 10 Pro 🔒

Oxford United
No Oxford United player in this window.
Blackburn Rovers
Todd CantwellM 60%6 of 10 Pro 🔒

Oxford United
Jack CurrieD 90%9 of 10 Pro 🔒
Brodie SpencerD 80%8 of 10 Pro 🔒
Stanley MillsM 70%7 of 10 Pro 🔒
Will VaulksM 70%7 of 10 Pro 🔒
Michał HelikD 70%7 of 10 Pro 🔒
Cameron BrannaganM 70%7 of 10 Pro 🔒
Ciaron BrownD 70%7 of 10 Pro 🔒
Myles Peart-HarrisM 70%7 of 10 Pro 🔒
Jamie McDonnellM 67%4 of 6 Pro 🔒
Will LankshearF 60%6 of 10 Pro 🔒
Sam LongD 60%6 of 10 Pro 🔒
Blackburn Rovers
Eiran CashinD 100%10 of 10 Pro 🔒
Sean McLoughlinD 90%9 of 10 Pro 🔒
Moussa BaradjiF 80%8 of 10 Pro 🔒
Todd CantwellM 80%8 of 10 Pro 🔒
Dion De NeveM 70%7 of 10 Pro 🔒
Ryan AlebiosuM 60%6 of 10 Pro 🔒
Adam ForshawM 60%6 of 10 Pro 🔒
Hayden CarterD 60%6 of 10 Pro 🔒

Oxford United
Jack CurrieD 80%8 of 10 Pro 🔒
Brodie SpencerD 70%7 of 10 Pro 🔒
Jamie McDonnellM 67%4 of 6 Pro 🔒
Myles Peart-HarrisM 60%6 of 10 Pro 🔒
Blackburn Rovers
Eiran CashinD 90%9 of 10 Pro 🔒
Moussa BaradjiF 60%6 of 10 Pro 🔒

Oxford United
Jack CurrieD 80%8 of 10 Pro 🔒
Jamie McDonnellM 67%4 of 6 Pro 🔒
Blackburn Rovers
Eiran CashinD 70%7 of 10 Pro 🔒

Oxford United
No Oxford United player in this window.
Blackburn Rovers
Todd CantwellM 60%6 of 10 Pro 🔒
Eiran CashinD 60%6 of 10 Pro 🔒

Oxford United
No Oxford United player in this window.
Blackburn Rovers
Ryoya MorishitaF 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-20% cards vs the league average
David Webb refereed this match 3.19cards a gameleague 4.01 117games
David Webb'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.