Updated daily through the season. Spot something off? Tell us →Updated daily. Tell us →
SharpXI© Open the screener
Player stats · 25/26

Oxford United v Leicester

Your slip follows you between games.

How often each Oxford United and Leicester 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 Leicester: Cameron Brannagan (Oxford United) leads the home side for 1+ shots on target — 8 of 10 (80%); Abdul Fatawu Issahaku (Leicester) tops the visitors on 7 of 10 (70%). Raw hit rates from recent matches, not odds.

Window
Last
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 25/26 figures from completed matches: Last N is their last N games; Season is their whole 25/26; H2H is only games against this opponent.

1+ shots

Oxford United
Leicester

2+ shots

Oxford United
No Oxford United player in this window.
Leicester

1+ shots on target

Oxford United
Leicester

1+ fouls committed

Oxford United
Leicester
Luke ThomasD 90%9 of 10 Pro 🔒
Patson DakaF 80%8 of 10 Pro 🔒
Caleb OkoliD 70%7 of 10 Pro 🔒
Jordan AyewF 60%6 of 10 Pro 🔒
Jordan JamesMform at Birmingham City 60%6 of 10 Pro 🔒

1+ fouls won

Oxford United
Leicester

2+ fouls won

Oxford United
No Oxford United player in this window.
Leicester

1+ goals

Oxford United
Cameron BrannaganM 30%3 of 10 Stats only
Leicester
No Leicester player in this window.

🔒 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
Ben Toner refereed this match 4.46cards/game 1.11×vs league 39games
Ben Toner'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.