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SharpXI©
Player stats 25/26

Oxford United v Sheffield United

Your slip follows you between games.

How often each Oxford United and Sheffield 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 Oxford United v Sheffield United: Cameron Brannagan (Oxford United) leads the home side 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
Cameron BrannaganM 90%9 of 10 Pro 🔒
Stanley MillsM 80%8 of 10 Pro 🔒
Will LankshearF 70%7 of 10 Pro 🔒
Nik PrelecF 67%2 of 3 Pro 🔒
Will VaulksM 60%6 of 10 Pro 🔒
Sheffield United
Gustavo HamerM 100%10 of 10 Pro 🔒
Sydie PeckM 80%8 of 10 Pro 🔒
Tyrese CampbellF 80%8 of 10 Pro 🔒
Callum O'HareM 80%8 of 10 Pro 🔒
Japhet TangangaD 70%7 of 10 Pro 🔒
Harrison BurrowsD 60%6 of 10 Pro 🔒

Oxford United
No Oxford United player in this window.
Sheffield United
Gustavo HamerM 60%6 of 10 Pro 🔒

Oxford United
Cameron BrannaganM 70%7 of 10 Pro 🔒
Sheffield United
No Sheffield United player in this window.

Oxford United
Will LankshearF 70%7 of 10 Pro 🔒
Mark HarrisF 60%6 of 10 Pro 🔒
Brodie SpencerD 60%6 of 10 Pro 🔒
Will VaulksM 60%6 of 10 Pro 🔒
Sam LongD 60%6 of 10 Pro 🔒
Cameron BrannaganM 60%6 of 10 Pro 🔒
Siriki DembéléM 60%6 of 10 Pro 🔒
Sheffield United
Gustavo HamerM 90%9 of 10 Pro 🔒
Alex MatosM 80%8 of 10 Pro 🔒
Sydie PeckM 70%7 of 10 Pro 🔒
Callum O'HareM 70%7 of 10 Pro 🔒
Tyrese CampbellF 60%6 of 10 Pro 🔒

Oxford United
No Oxford United player in this window.
Sheffield United
Alex MatosM 60%6 of 10 Pro 🔒

Oxford United
Will LankshearF 100%10 of 10 Pro 🔒
Brodie SpencerD 80%8 of 10 Pro 🔒
Siriki DembéléM 70%7 of 10 Pro 🔒
Nik PrelecF 67%2 of 3 Pro 🔒
Cameron BrannaganM 60%6 of 10 Pro 🔒
Sheffield United
Alex MatosM 80%8 of 10 Pro 🔒
Japhet TangangaD 80%8 of 10 Pro 🔒
Chiedozie OgbeneM 70%7 of 10 Pro 🔒
Harrison BurrowsD 70%7 of 10 Pro 🔒
Femi SerikiD 70%7 of 10 Pro 🔒
Sydie PeckM 60%6 of 10 Pro 🔒
Callum O'HareM 60%6 of 10 Pro 🔒

Oxford United
Brodie SpencerD 70%7 of 10 Pro 🔒
Sheffield United
Alex MatosM 70%7 of 10 Pro 🔒
Japhet TangangaD 60%6 of 10 Pro 🔒

Oxford United
Brodie SpencerD 100%10 of 10 Pro 🔒
Michał HelikD 90%9 of 10 Pro 🔒
Cameron BrannaganM 90%9 of 10 Pro 🔒
Stanley MillsM 80%8 of 10 Pro 🔒
Will VaulksM 80%8 of 10 Pro 🔒
Jack CurrieD 75%3 of 4 Pro 🔒
Greg LeighD 70%7 of 10 Pro 🔒
Sam LongD 60%6 of 10 Pro 🔒
Sheffield United
Alex MatosM 80%8 of 10 Pro 🔒
Sydie PeckM 80%8 of 10 Pro 🔒
Femi SerikiD 80%8 of 10 Pro 🔒
Gustavo HamerM 70%7 of 10 Pro 🔒
Harrison BurrowsD 70%7 of 10 Pro 🔒
Djibril SoumaréM 67%2 of 3 Pro 🔒
Japhet TangangaD 60%6 of 10 Pro 🔒
Chiedozie OgbeneM 60%6 of 10 Pro 🔒

Oxford United
Brodie SpencerD 90%9 of 10 Pro 🔒
Will VaulksM 60%6 of 10 Pro 🔒
Sheffield United
Alex MatosM 60%6 of 10 Pro 🔒
Sydie PeckM 60%6 of 10 Pro 🔒

Oxford United
Brodie SpencerD 60%6 of 10 Pro 🔒
Sheffield United
No Sheffield United player in this window.

Oxford United
Cameron BrannaganM 60%6 of 10 Pro 🔒
Sheffield United
No Sheffield United player in this window.

Oxford United
Nik PrelecF 33%1 of 3 Stats only
Will LankshearF 30%3 of 10 Stats only
Cameron BrannaganM 30%3 of 10 Stats only
Sheffield United
No Sheffield United player in this window.

Oxford United
No Oxford United player in this window.
Sheffield United
Michael CooperG 70%7 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
Benjamin Speedie refereed this match

13 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.