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Player stats 23/24

Southampton v Plymouth Argyle

Your slip follows you between games.

How often each Southampton 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 Southampton v Plymouth Argyle: Adam Armstrong (Southampton) leads the home side for 1+ shots on target — 7 of 10 (70%); 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.

Southampton
Adam ArmstrongM 100%10 of 10 Pro 🔒
Stuart ArmstrongM 90%9 of 10 Pro 🔒
Ryan FraserM 80%8 of 10 Pro 🔒
Samuel EdozieM 70%7 of 10 Pro 🔒
Will SmallboneM 60%6 of 10 Pro 🔒
Plymouth Argyle
Finn AzazM 100%10 of 10 Pro 🔒
Morgan WhittakerM 100%10 of 10 Pro 🔒
Ryan HardieF 90%9 of 10 Pro 🔒
Ben WaineF 70%7 of 10 Pro 🔒
Luke CundleM 70%7 of 10 Pro 🔒
Mustapha BunduF 60%6 of 10 Pro 🔒

Southampton
Adam ArmstrongM 70%7 of 10 Pro 🔒
Plymouth Argyle
Morgan WhittakerM 100%10 of 10 Pro 🔒
Ryan HardieF 70%7 of 10 Pro 🔒
Finn AzazM 60%6 of 10 Pro 🔒

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

Southampton
Adam ArmstrongM 70%7 of 10 Pro 🔒
Stuart ArmstrongM 60%6 of 10 Pro 🔒
Plymouth Argyle
Morgan WhittakerM 80%8 of 10 Pro 🔒

Southampton
Adam ArmstrongM 80%8 of 10 Pro 🔒
Samuel EdozieM 70%7 of 10 Pro 🔒
Jack StephensD 70%7 of 10 Pro 🔒
Jan BednarekD 70%7 of 10 Pro 🔒
Che AdamsF 70%7 of 10 Pro 🔒
Shea CharlesM 60%6 of 10 Pro 🔒
Kyle Walker-PetersD 60%6 of 10 Pro 🔒
Plymouth Argyle
Joe EdwardsD 70%7 of 10 Pro 🔒
Bali MumbaD 60%6 of 10 Pro 🔒

Southampton
Samuel EdozieM 80%8 of 10 Pro 🔒
Carlos AlcarazM 70%7 of 10 Pro 🔒
Ryan ManningD 70%7 of 10 Pro 🔒
Kyle Walker-PetersD 70%7 of 10 Pro 🔒
Adam ArmstrongM 60%6 of 10 Pro 🔒
Joe AriboM 60%6 of 10 Pro 🔒
Plymouth Argyle
Bali MumbaD 80%8 of 10 Pro 🔒
Jordan HoughtonM 70%7 of 10 Pro 🔒
Morgan WhittakerM 70%7 of 10 Pro 🔒
Brendan GallowayD 62%5 of 8 Pro 🔒
Julio PleguezueloD 60%6 of 10 Pro 🔒

Southampton
Carlos AlcarazM 90%9 of 10 Pro 🔒
Joe AriboM 90%9 of 10 Pro 🔒
Stuart ArmstrongM 80%8 of 10 Pro 🔒
Samuel EdozieM 70%7 of 10 Pro 🔒
Ryan ManningD 70%7 of 10 Pro 🔒
Kyle Walker-PetersD 70%7 of 10 Pro 🔒
Will SmallboneM 70%7 of 10 Pro 🔒
Shea CharlesM 60%6 of 10 Pro 🔒
Jan BednarekD 60%6 of 10 Pro 🔒
Adam ArmstrongM 60%6 of 10 Pro 🔒
Plymouth Argyle
Jordan HoughtonM 80%8 of 10 Pro 🔒
Mickel MillerM 70%7 of 10 Pro 🔒
Morgan WhittakerM 70%7 of 10 Pro 🔒
Lewis GibsonD 60%6 of 10 Pro 🔒
Bali MumbaD 60%6 of 10 Pro 🔒
Adam RandellM 60%6 of 10 Pro 🔒

Southampton
Joe AriboM 80%8 of 10 Pro 🔒
Plymouth Argyle
No Plymouth Argyle player in this window.

Southampton
Samuel EdozieM 30%3 of 10 Stats only
Adam ArmstrongM 30%3 of 10 Stats only
Plymouth Argyle
Morgan WhittakerM 50%5 of 10 Stats only
Finn AzazM 30%3 of 10 Stats only

Southampton
Adam ArmstrongM 60%6 of 10 Stats only
Plymouth Argyle
Finn AzazM 30%3 of 10 Stats only

Southampton
No Southampton player in this window.
Plymouth Argyle
Conor HazardG 70%7 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
James Linington refereed this match 4.09cards a gameleague 4.01 82games
James Linington'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.