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Player stats 24/25

West Brom v Plymouth Argyle

Your slip follows you between games.

How often each West Brom 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 West Brom v Plymouth Argyle: Karlan Grant (West Brom) leads the home side for 1+ shots on target — 6 of 10 (60%); Morgan Whittaker (Plymouth Argyle) tops the visitors on 8 of 10 (80%). 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.

West Brom
Kyle BartleyD 90%9 of 10 Pro 🔒
Karlan GrantM 90%9 of 10 Pro 🔒
Grady DianganaM 80%8 of 10 Pro 🔒
Alex MowattM 70%7 of 10 Pro 🔒
Darnell FurlongD 70%7 of 10 Pro 🔒
Mikey JohnstonF 70%7 of 10 Pro 🔒
Josh MajaF 70%7 of 10 Pro 🔒
John SwiftM 60%6 of 10 Pro 🔒
Plymouth Argyle
Morgan WhittakerM 100%10 of 10 Pro 🔒
Darko GyabiM 80%8 of 10 Pro 🔒
Michael ObafemiF 80%8 of 10 Pro 🔒
Adam RandellM 70%7 of 10 Pro 🔒
Kornél SzűcsD 67%2 of 3 Pro 🔒

West Brom
No West Brom player in this window.
Plymouth Argyle
Morgan WhittakerM 90%9 of 10 Pro 🔒

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

West Brom
Karlan GrantM 60%6 of 10 Pro 🔒
Plymouth Argyle
Morgan WhittakerM 80%8 of 10 Pro 🔒
Michael ObafemiF 60%6 of 10 Pro 🔒

West Brom
Darnell FurlongD 90%9 of 10 Pro 🔒
Torbjørn HeggemD 80%4 of 5 Pro 🔒
John SwiftM 70%7 of 10 Pro 🔒
Plymouth Argyle
Michael ObafemiF 90%9 of 10 Pro 🔒
Bali MumbaD 90%9 of 10 Pro 🔒
Joe EdwardsD 80%8 of 10 Pro 🔒
Adam RandellM 70%7 of 10 Pro 🔒
Kornél SzűcsD 67%2 of 3 Pro 🔒
Adam ForshawM 60%6 of 10 Pro 🔒
Darko GyabiM 60%6 of 10 Pro 🔒
Morgan WhittakerM 60%6 of 10 Pro 🔒

West Brom
Torbjørn HeggemD 60%3 of 5 Pro 🔒
Plymouth Argyle
No Plymouth Argyle player in this window.

West Brom
Darnell FurlongD 90%9 of 10 Pro 🔒
Grady DianganaM 90%9 of 10 Pro 🔒
Karlan GrantM 70%7 of 10 Pro 🔒
Tom FellowsM 60%6 of 10 Pro 🔒
John SwiftM 60%6 of 10 Pro 🔒
Josh MajaF 60%6 of 10 Pro 🔒
Plymouth Argyle
Lewis GibsonD 90%9 of 10 Pro 🔒
Bali MumbaD 90%9 of 10 Pro 🔒
Morgan WhittakerM 90%9 of 10 Pro 🔒
Darko GyabiM 70%7 of 10 Pro 🔒
Joe EdwardsD 70%7 of 10 Pro 🔒
Michael ObafemiF 70%7 of 10 Pro 🔒
Adam RandellM 60%6 of 10 Pro 🔒

West Brom
No West Brom player in this window.
Plymouth Argyle
Joe EdwardsD 60%6 of 10 Pro 🔒
Morgan WhittakerM 60%6 of 10 Pro 🔒

West Brom
Torbjørn HeggemD 100%5 of 5 Pro 🔒
Darnell FurlongD 90%9 of 10 Pro 🔒
Alex MowattM 70%7 of 10 Pro 🔒
Tom FellowsM 60%6 of 10 Pro 🔒
Semi AjayiD 60%6 of 10 Pro 🔒
Karlan GrantM 60%6 of 10 Pro 🔒
Grady DianganaM 60%6 of 10 Pro 🔒
Plymouth Argyle
Bali MumbaD 100%10 of 10 Pro 🔒
Morgan WhittakerM 90%9 of 10 Pro 🔒
Lewis GibsonD 80%8 of 10 Pro 🔒
Adam RandellM 80%8 of 10 Pro 🔒
Joe EdwardsD 70%7 of 10 Pro 🔒
Darko GyabiM 60%6 of 10 Pro 🔒

West Brom
Torbjørn HeggemD 60%3 of 5 Pro 🔒
Plymouth Argyle
Bali MumbaD 80%8 of 10 Pro 🔒
Adam RandellM 70%7 of 10 Pro 🔒
Lewis GibsonD 60%6 of 10 Pro 🔒

West Brom
Torbjørn HeggemD 60%3 of 5 Pro 🔒
Plymouth Argyle
Bali MumbaD 60%6 of 10 Pro 🔒

West Brom
No West Brom player in this window.
Plymouth Argyle
Morgan WhittakerM 60%6 of 10 Pro 🔒

West Brom
Josh MajaF 40%4 of 10 Stats only
Plymouth Argyle
No Plymouth Argyle player in this window.

West Brom
Tom FellowsM 30%3 of 10 Stats only
Plymouth Argyle
No Plymouth Argyle player in this window.

West Brom
No West Brom player in this window.
Plymouth Argyle
Daniel GrimshawG 60%6 of 10 Stats only

West Brom
No West Brom player in this window.
Plymouth Argyle
Daniel GrimshawG 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
Andrew Kitchen refereed this match 3.21cards a gameleague 4.01 80games
Andrew Kitchen'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.