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Player stats 24/25

Wolves v Southampton

Your slip follows you between games.

How often each Wolves and Southampton 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 Wolves v Southampton: Jørgen Strand Larsen (Wolves) leads the home side for 1+ shots on target — 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.

Wolves
Matheus CunhaM 100%10 of 10 Pro 🔒
Rayan Aït-NouriM 80%8 of 10 Pro 🔒
João GomesM 60%6 of 10 Pro 🔒
Pablo SarabiaM 60%6 of 10 Pro 🔒
Mario LeminaM 60%6 of 10 Pro 🔒
Southampton
Adam ArmstrongM 80%8 of 10 Pro 🔒
Ben Brereton DíazF 80%8 of 10 Pro 🔒
Cameron ArcherF 70%7 of 10 Pro 🔒
Tyler DiblingM 60%6 of 10 Pro 🔒
Paul OnuachuF 60%6 of 10 Pro 🔒
Joe AriboM 60%6 of 10 Pro 🔒
Kyle Walker-PetersD 60%6 of 10 Pro 🔒

Wolves
Matheus CunhaM 70%7 of 10 Pro 🔒
Southampton
Ben Brereton DíazF 70%7 of 10 Pro 🔒
Adam ArmstrongM 60%6 of 10 Pro 🔒

Wolves
Matheus CunhaM 70%7 of 10 Pro 🔒
Southampton
No Southampton player in this window.

Wolves
Mario LeminaM 80%8 of 10 Pro 🔒
Rayan Aït-NouriM 80%8 of 10 Pro 🔒
João GomesM 70%7 of 10 Pro 🔒
Matheus CunhaM 70%7 of 10 Pro 🔒
Toti GomesD 70%7 of 10 Pro 🔒
Nélson SemedoD 60%6 of 10 Pro 🔒
Santiago BuenoD 60%6 of 10 Pro 🔒
Southampton
Jack StephensD 90%9 of 10 Pro 🔒
Mateus FernandesM 89%8 of 9 Pro 🔒
Tyler DiblingM 70%7 of 10 Pro 🔒
Jan BednarekD 70%7 of 10 Pro 🔒
Ben Brereton DíazF 70%7 of 10 Pro 🔒
Paul OnuachuF 60%6 of 10 Pro 🔒
Ryan ManningD 60%6 of 10 Pro 🔒
Kyle Walker-PetersD 60%6 of 10 Pro 🔒

Wolves
João GomesM 60%6 of 10 Pro 🔒
Rayan Aït-NouriM 60%6 of 10 Pro 🔒
Southampton
No Southampton player in this window.

Wolves
Matheus CunhaM 90%9 of 10 Pro 🔒
José SáG 60%6 of 10 Pro 🔒
Southampton
Kyle Walker-PetersD 100%10 of 10 Pro 🔒
Ryan ManningD 80%8 of 10 Pro 🔒
Tyler DiblingM 70%7 of 10 Pro 🔒
Joe AriboM 70%7 of 10 Pro 🔒
Ben Brereton DíazF 70%7 of 10 Pro 🔒
Mateus FernandesM 67%6 of 9 Pro 🔒

Wolves
Matheus CunhaM 60%6 of 10 Pro 🔒
Southampton
Kyle Walker-PetersD 70%7 of 10 Pro 🔒

Wolves
João GomesM 100%10 of 10 Pro 🔒
Mario LeminaM 100%10 of 10 Pro 🔒
Matt DohertyD 90%9 of 10 Pro 🔒
Nélson SemedoD 90%9 of 10 Pro 🔒
Rayan Aït-NouriM 90%9 of 10 Pro 🔒
Toti GomesD 90%9 of 10 Pro 🔒
Matheus CunhaM 80%8 of 10 Pro 🔒
Craig DawsonD 70%7 of 10 Pro 🔒
Santiago BuenoD 70%7 of 10 Pro 🔒
Southampton
Jack StephensD 90%9 of 10 Pro 🔒
Mateus FernandesM 89%8 of 9 Pro 🔒
Yukinari SugawaraD 78%7 of 9 Pro 🔒
Lesley UgochukwuM 70%7 of 10 Pro 🔒
Tyler DiblingM 70%7 of 10 Pro 🔒
Kyle Walker-PetersD 70%7 of 10 Pro 🔒
Joe AriboM 60%6 of 10 Pro 🔒

Wolves
João GomesM 90%9 of 10 Pro 🔒
Mario LeminaM 90%9 of 10 Pro 🔒
Matt DohertyD 60%6 of 10 Pro 🔒
Nélson SemedoD 60%6 of 10 Pro 🔒
Southampton
Mateus FernandesM 89%8 of 9 Pro 🔒
Yukinari SugawaraD 78%7 of 9 Pro 🔒
Jack StephensD 60%6 of 10 Pro 🔒

Wolves
João GomesM 60%6 of 10 Pro 🔒
Southampton
No Southampton player in this window.

Wolves
Jørgen Strand LarsenF 40%4 of 10 Stats only
Matheus CunhaM 40%4 of 10 Stats only
Rayan Aït-NouriM 30%3 of 10 Stats only
Southampton
Adam ArmstrongM 30%3 of 10 Stats only

Wolves
José SáG 90%9 of 10 Stats only
Southampton
Aaron RamsdaleG 80%8 of 10 Stats only

Wolves
José SáG 90%9 of 10 Stats only
Southampton
No Southampton player in this window.

Wolves
José SáG 60%6 of 10 Stats only
Southampton
No Southampton player in this window.

🔒 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
Thomas Bramall refereed this match 4.07cards a gameleague 4.08 55games
Thomas Bramall'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.