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Player stats · 24/25

Luton v Oxford United

Your slip follows you between games.

How often each Luton and Oxford 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 Luton v Oxford United: Elijah Adebayo (Luton) leads the home side for 1+ shots on target — 7 of 10 (70%); Mark Harris (Oxford United) tops the visitors on 6 of 10 (60%). 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

Luton
Elijah AdebayoF 90%9 of 10 Pro 🔒
Jordan ClarkF 70%7 of 10 Pro 🔒
Jacob BrownF 70%7 of 10 Pro 🔒
Alfie DoughtyM 60%6 of 10 Pro 🔒
Oxford United
Tyler GoodrhamM 100%7 of 7 Pro 🔒
Will VaulksM 60%6 of 10 Pro 🔒
Mark HarrisF 60%6 of 10 Pro 🔒

1+ shots on target

Luton
Elijah AdebayoF 70%7 of 10 Pro 🔒
Oxford United
Mark HarrisF 60%6 of 10 Pro 🔒

1+ fouls committed

Luton
Elijah AdebayoF 100%10 of 10 Pro 🔒
Jordan ClarkF 80%8 of 10 Pro 🔒
Alfie DoughtyM 70%7 of 10 Pro 🔒
Reece BurkeD 70%7 of 10 Pro 🔒
Oxford United
Peter KiosoD 90%9 of 10 Pro 🔒
Mark HarrisF 80%8 of 10 Pro 🔒
Sam LongD 75%3 of 4 Pro 🔒
Will VaulksM 70%7 of 10 Pro 🔒

2+ fouls committed

Luton
Elijah AdebayoF 60%6 of 10 Pro 🔒
Oxford United
Peter KiosoD 60%6 of 10 Pro 🔒

1+ fouls won

Luton
Elijah AdebayoF 80%8 of 10 Pro 🔒
Jordan ClarkF 60%6 of 10 Pro 🔒
Jacob BrownF 60%6 of 10 Pro 🔒
Oxford United

1+ goals

Luton
No Luton player in this window.
Oxford United
Mark HarrisF 40%4 of 10 Stats only

1+ assists

Luton
Alfie DoughtyM 30%3 of 10 Stats only
Oxford United
No Oxford United 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
James Bell refereed this match 3.96cards/game 0.99×vs league 67games
James Bell'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.