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Coventry City v Oxford United

Your slip follows you between games.

How often each Coventry City 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 Coventry City v Oxford United: Kasey Palmer (Coventry City) leads the home side for 1+ shots — 8 of 10 (80%); Tyler Goodrham (Oxford United) tops the visitors on 3 of 3 (100%). 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.

Coventry City
Kasey PalmerM 80%8 of 10 Pro 🔒
Jack RudoniM 80%8 of 10 Pro 🔒
Josh EcclesM 70%7 of 10 Pro 🔒
Oxford United
Tyler GoodrhamF 100%3 of 3 Pro 🔒
Will VaulksM 80%8 of 10 Pro 🔒
Rúben RodriguesF 67%2 of 3 Pro 🔒
Idris El MizouniM 67%2 of 3 Pro 🔒

Coventry City
Jack RudoniM 70%7 of 10 Pro 🔒
Oxford United
Idris El MizouniM 67%2 of 3 Pro 🔒

Coventry City
Ben SheafM 70%7 of 10 Pro 🔒
Bobby ThomasD 60%6 of 10 Pro 🔒
Kasey PalmerM 60%6 of 10 Pro 🔒
Josh EcclesM 60%6 of 10 Pro 🔒
Jack RudoniM 60%6 of 10 Pro 🔒
Oxford United
Sam LongD 100%3 of 3 Pro 🔒
Peter KiosoD 90%9 of 10 Pro 🔒
Mark HarrisF 70%7 of 10 Pro 🔒
Will VaulksM 70%7 of 10 Pro 🔒
Tyler GoodrhamF 67%2 of 3 Pro 🔒

Coventry City
No Coventry City player in this window.
Oxford United
Peter KiosoD 60%6 of 10 Pro 🔒

Coventry City
Josh EcclesM 80%8 of 10 Pro 🔒
Milan van EwijkD 80%8 of 10 Pro 🔒
Tatsuhiro SakamotoM 80%8 of 10 Pro 🔒
Ben SheafM 70%7 of 10 Pro 🔒
Oxford United
Ciaron BrownD 100%3 of 3 Pro 🔒
Tyler GoodrhamF 100%3 of 3 Pro 🔒
Malcolm EbioweiMform earned at Hull City 70%7 of 10 Pro 🔒
Sam LongD 67%2 of 3 Pro 🔒
Rúben RodriguesF 67%2 of 3 Pro 🔒
Peter KiosoD 60%6 of 10 Pro 🔒

Coventry City
No Coventry City player in this window.
Oxford United
Rúben RodriguesF 67%2 of 3 Pro 🔒

Coventry City
Milan van EwijkD 90%9 of 10 Pro 🔒
Bobby ThomasD 80%8 of 10 Pro 🔒
Josh EcclesM 80%8 of 10 Pro 🔒
Ben SheafM 70%7 of 10 Pro 🔒
Jay DaSilvaD 70%7 of 10 Pro 🔒
Joel LatibeaudiereD 70%7 of 10 Pro 🔒
Tatsuhiro SakamotoM 70%7 of 10 Pro 🔒
Liam KitchingD 60%6 of 10 Pro 🔒
Oxford United
Peter KiosoD 100%10 of 10 Pro 🔒
Will VaulksM 90%9 of 10 Pro 🔒
Sam LongD 67%2 of 3 Pro 🔒
Rúben RodriguesF 67%2 of 3 Pro 🔒
Ciaron BrownD 67%2 of 3 Pro 🔒
Idris El MizouniM 67%2 of 3 Pro 🔒
Tyler GoodrhamF 67%2 of 3 Pro 🔒
Malcolm EbioweiMform earned at Hull City 60%6 of 10 Pro 🔒

Coventry City
Milan van EwijkD 70%7 of 10 Pro 🔒
Bobby ThomasD 60%6 of 10 Pro 🔒
Josh EcclesM 60%6 of 10 Pro 🔒
Oxford United
Peter KiosoD 80%8 of 10 Pro 🔒
Sam LongD 67%2 of 3 Pro 🔒
Rúben RodriguesF 67%2 of 3 Pro 🔒
Idris El MizouniM 67%2 of 3 Pro 🔒
Tyler GoodrhamF 67%2 of 3 Pro 🔒

Coventry City
Milan van EwijkD 60%6 of 10 Pro 🔒
Oxford United
Rúben RodriguesF 67%2 of 3 Pro 🔒

Coventry City
Josh EcclesM 60%6 of 10 Pro 🔒
Oxford United
No Oxford United player in this window.

Coventry City
No Coventry City player in this window.
Oxford United
Ciaron BrownD 33%1 of 3 Stats only
Mark HarrisF 30%3 of 10 Stats only

Coventry City
No Coventry City player in this window.
Oxford United
Sam LongD 33%1 of 3 Stats only
Rúben RodriguesF 33%1 of 3 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
Will Finnie refereed this match

8 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.