Updated daily through the season. Spot something off? Tell usUpdated daily. Tell us
SharpXI©
Player stats 24/25

Oxford United v Plymouth Argyle

Your slip follows you between games.

How often each Oxford United and Plymouth Argyle 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 Plymouth Argyle: Hidde ter Avest (Oxford United) leads the home side for 1+ shots on target — 3 of 5 (60%). 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
Hidde ter AvestD 80%4 of 5 Pro 🔒
Tyler GoodrhamM 70%7 of 10 Pro 🔒
Mark HarrisF 60%6 of 10 Pro 🔒
Cameron BrannaganM 60%6 of 10 Pro 🔒
Idris El MizouniM 60%6 of 10 Pro 🔒
Plymouth Argyle
Morgan WhittakerM 90%9 of 10 Pro 🔒
Darko GyabiM 80%8 of 10 Pro 🔒
Ryan HardieF 60%6 of 10 Pro 🔒
Lewis GibsonD 60%6 of 10 Pro 🔒
Rami Al HajjM 60%6 of 10 Pro 🔒

Oxford United
No Oxford United player in this window.
Plymouth Argyle
Morgan WhittakerM 80%8 of 10 Pro 🔒

Oxford United
Hidde ter AvestD 60%3 of 5 Pro 🔒
Plymouth Argyle
No Plymouth Argyle player in this window.

Oxford United
Mark HarrisF 80%8 of 10 Pro 🔒
Tyler GoodrhamM 80%8 of 10 Pro 🔒
Dane ScarlettF 80%8 of 10 Pro 🔒
Cameron BrannaganM 70%7 of 10 Pro 🔒
Elliott MooreD 70%7 of 10 Pro 🔒
Plymouth Argyle
Kornél SzűcsD 80%8 of 10 Pro 🔒
Morgan WhittakerM 70%7 of 10 Pro 🔒
Brendan GallowayD 60%6 of 10 Pro 🔒

Oxford United
Mark HarrisF 70%7 of 10 Pro 🔒
Tyler GoodrhamM 70%7 of 10 Pro 🔒
Plymouth Argyle
No Plymouth Argyle player in this window.

Oxford United
Dane ScarlettF 80%8 of 10 Pro 🔒
Cameron BrannaganM 70%7 of 10 Pro 🔒
Plymouth Argyle
Morgan WhittakerM 100%10 of 10 Pro 🔒
Adam RandellM 90%9 of 10 Pro 🔒
Darko GyabiM 80%8 of 10 Pro 🔒
Matthew SorinolaD 80%8 of 10 Pro 🔒
Caleb RobertsM 67%2 of 3 Pro 🔒
Brendan GallowayD 60%6 of 10 Pro 🔒
Bali MumbaM 60%6 of 10 Pro 🔒

Oxford United
No Oxford United player in this window.
Plymouth Argyle
Morgan WhittakerM 70%7 of 10 Pro 🔒
Darko GyabiM 60%6 of 10 Pro 🔒

Oxford United
Rúben RodriguesM 90%9 of 10 Pro 🔒
Will VaulksM 80%8 of 10 Pro 🔒
Cameron BrannaganM 80%8 of 10 Pro 🔒
Tyler GoodrhamM 80%8 of 10 Pro 🔒
Idris El MizouniM 70%7 of 10 Pro 🔒
Sam LongD 60%6 of 10 Pro 🔒
Greg LeighD 60%6 of 10 Pro 🔒
Plymouth Argyle
Morgan WhittakerM 100%10 of 10 Pro 🔒
Kornél SzűcsD 90%9 of 10 Pro 🔒
Bali MumbaM 90%9 of 10 Pro 🔒
Darko GyabiM 70%7 of 10 Pro 🔒
Brendan GallowayD 70%7 of 10 Pro 🔒
Lewis GibsonD 70%7 of 10 Pro 🔒
Matthew SorinolaD 70%7 of 10 Pro 🔒
Caleb RobertsM 67%2 of 3 Pro 🔒
Adam RandellM 60%6 of 10 Pro 🔒
Rami Al HajjM 60%6 of 10 Pro 🔒

Oxford United
Idris El MizouniM 70%7 of 10 Pro 🔒
Will VaulksM 60%6 of 10 Pro 🔒
Plymouth Argyle
Darko GyabiM 70%7 of 10 Pro 🔒
Morgan WhittakerM 70%7 of 10 Pro 🔒

Oxford United
Jamie CummingG 60%6 of 10 Stats only
Plymouth Argyle
Conor HazardG 60%6 of 10 Stats only

Oxford United
No Oxford United player in this window.
Plymouth Argyle
Conor HazardG 60%6 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.