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Player stats 24/25

Plymouth Argyle v Leeds

Your slip follows you between games.

How often each Plymouth Argyle and Leeds 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 Plymouth Argyle v Leeds: Ryan Hardie (Plymouth Argyle) leads the home side for 1+ shots on target — 7 of 10 (70%); Manor Solomon (Leeds) tops the visitors on 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.

Plymouth Argyle
Ryan HardieF 90%9 of 10 Pro 🔒
Nikola KatićD 60%6 of 10 Pro 🔒
Mustapha BunduF 60%6 of 10 Pro 🔒
Adam RandellM 60%6 of 10 Pro 🔒
Leeds
Joël PiroeF 80%8 of 10 Pro 🔒
Manor SolomonM 80%8 of 10 Pro 🔒
Wilfried GnontoM 80%8 of 10 Pro 🔒
Maximilian WöberD 70%7 of 10 Pro 🔒
Jayden BogleD 70%7 of 10 Pro 🔒
Largie RamazaniF 60%6 of 10 Pro 🔒
Brenden AaronsonM 60%6 of 10 Pro 🔒

Plymouth Argyle
Ryan HardieF 70%7 of 10 Pro 🔒
Leeds
Joël PiroeF 60%6 of 10 Pro 🔒
Manor SolomonM 60%6 of 10 Pro 🔒

Plymouth Argyle
Ryan HardieF 60%6 of 10 Pro 🔒
Leeds
No Leeds player in this window.

Plymouth Argyle
Ryan HardieF 70%7 of 10 Pro 🔒
Mustapha BunduF 60%6 of 10 Pro 🔒
Leeds
Manor SolomonM 70%7 of 10 Pro 🔒
Brenden AaronsonM 60%6 of 10 Pro 🔒

Plymouth Argyle
Mustapha BunduF 90%9 of 10 Pro 🔒
Adam RandellM 80%8 of 10 Pro 🔒
Kornél SzűcsD 70%7 of 10 Pro 🔒
Callum WrightM 70%7 of 10 Pro 🔒
Maksym TalovierovD 70%7 of 10 Pro 🔒
Nikola KatićD 60%6 of 10 Pro 🔒
Michael BaidooM 60%6 of 10 Pro 🔒
Leeds
Ethan AmpaduD 80%8 of 10 Pro 🔒
Maximilian WöberD 70%7 of 10 Pro 🔒
Brenden AaronsonM 70%7 of 10 Pro 🔒

Plymouth Argyle
Mustapha BunduF 60%6 of 10 Pro 🔒
Michael BaidooM 60%6 of 10 Pro 🔒
Leeds
No Leeds player in this window.

Plymouth Argyle
Mustapha BunduF 90%9 of 10 Pro 🔒
Bali MumbaM 80%8 of 10 Pro 🔒
Matthew SorinolaD 70%7 of 10 Pro 🔒
Adam RandellM 60%6 of 10 Pro 🔒
Leeds
Manor SolomonM 80%8 of 10 Pro 🔒
Ethan AmpaduD 70%7 of 10 Pro 🔒
Jayden BogleD 70%7 of 10 Pro 🔒
Brenden AaronsonM 70%7 of 10 Pro 🔒

Plymouth Argyle
Bali MumbaM 100%10 of 10 Pro 🔒
Adam RandellM 100%10 of 10 Pro 🔒
Victor PálssonD 80%8 of 10 Pro 🔒
Maksym TalovierovD 80%8 of 10 Pro 🔒
Caleb RobertsM 75%3 of 4 Pro 🔒
Kornél SzűcsD 70%7 of 10 Pro 🔒
Nikola KatićD 70%7 of 10 Pro 🔒
Matthew SorinolaD 70%7 of 10 Pro 🔒
Malachi BoatengM 67%4 of 6 Pro 🔒
Leeds
Maximilian WöberD 80%8 of 10 Pro 🔒
Joe RodonD 70%7 of 10 Pro 🔒
Ao TanakaM 70%7 of 10 Pro 🔒
Jayden BogleD 70%7 of 10 Pro 🔒
Joël PiroeF 60%6 of 10 Pro 🔒
Manor SolomonM 60%6 of 10 Pro 🔒
Brenden AaronsonM 60%6 of 10 Pro 🔒

Plymouth Argyle
Maksym TalovierovD 80%8 of 10 Pro 🔒
Matthew SorinolaD 60%6 of 10 Pro 🔒
Bali MumbaM 60%6 of 10 Pro 🔒
Adam RandellM 60%6 of 10 Pro 🔒
Leeds
No Leeds player in this window.

Plymouth Argyle
Mustapha BunduF 50%5 of 10 Stats only
Ryan HardieF 40%4 of 10 Stats only
Leeds
Wilfried GnontoM 30%3 of 10 Stats only

Plymouth Argyle
No Plymouth Argyle player in this window.
Leeds
Manor SolomonM 40%4 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
Jeremy Simpson refereed this match 4.05cards a gameleague 4.01 42games
Jeremy Simpson'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.