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Player stats 24/25

Southampton v Liverpool

Your slip follows you between games.

How often each Southampton and Liverpool 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 Liverpool: Federico Chiesa (Liverpool) tops the visitors for 1+ shots on target — 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.

Southampton
Tyler DiblingM 70%7 of 10 Pro 🔒
Cameron ArcherF 70%7 of 10 Pro 🔒
Mateus FernandesM 60%6 of 10 Pro 🔒
Liverpool
Federico ChiesaF 90%9 of 10 Pro 🔒
Diogo JotaF 80%8 of 10 Pro 🔒
Cody GakpoF 80%8 of 10 Pro 🔒
Harvey ElliottF 70%7 of 10 Pro 🔒
Tyler MortonMform earned at Hull City 70%7 of 10 Pro 🔒
Darwin NúñezF 60%6 of 10 Pro 🔒

Southampton
No Southampton player in this window.
Liverpool
Diogo JotaF 70%7 of 10 Pro 🔒
Cody GakpoF 70%7 of 10 Pro 🔒
Federico ChiesaF 60%6 of 10 Pro 🔒

Southampton
No Southampton player in this window.
Liverpool
Federico ChiesaF 70%7 of 10 Pro 🔒
Diogo JotaF 60%6 of 10 Pro 🔒

Southampton
Mateus FernandesM 100%10 of 10 Pro 🔒
Tyler DiblingM 80%8 of 10 Pro 🔒
Paul OnuachuF 70%7 of 10 Pro 🔒
Ryan ManningD 70%7 of 10 Pro 🔒
Flynn DownesM 70%7 of 10 Pro 🔒
Jan BednarekD 60%6 of 10 Pro 🔒
Liverpool
Tyler MortonMform earned at Hull City 90%9 of 10 Pro 🔒
Alexis Mac AllisterM 80%8 of 10 Pro 🔒
Darwin NúñezF 80%8 of 10 Pro 🔒
Jarell QuansahD 60%6 of 10 Pro 🔒
Wataru EndoD 60%6 of 10 Pro 🔒
Diogo JotaF 60%6 of 10 Pro 🔒

Southampton
Flynn DownesM 60%6 of 10 Pro 🔒
Liverpool
No Liverpool player in this window.

Southampton
Ryan ManningD 90%9 of 10 Pro 🔒
Flynn DownesM 90%9 of 10 Pro 🔒
Tyler DiblingM 80%8 of 10 Pro 🔒
Mateus FernandesM 70%7 of 10 Pro 🔒
Joe AriboM 70%7 of 10 Pro 🔒
Nathan WoodD 70%7 of 10 Pro 🔒
Liverpool
Cody GakpoF 70%7 of 10 Pro 🔒
Diogo JotaF 60%6 of 10 Pro 🔒
Federico ChiesaF 60%6 of 10 Pro 🔒
Alexis Mac AllisterM 60%6 of 10 Pro 🔒
Darwin NúñezF 60%6 of 10 Pro 🔒

Southampton
Tyler DiblingM 60%6 of 10 Pro 🔒
Flynn DownesM 60%6 of 10 Pro 🔒
Liverpool
No Liverpool player in this window.

Southampton
Mateus FernandesM 90%9 of 10 Pro 🔒
Flynn DownesM 90%9 of 10 Pro 🔒
Tyler DiblingM 80%8 of 10 Pro 🔒
Joe AriboM 80%8 of 10 Pro 🔒
James BreeD 70%7 of 10 Pro 🔒
Yukinari SugawaraD 70%7 of 10 Pro 🔒
Nathan WoodD 70%7 of 10 Pro 🔒
Adam LallanaM 60%6 of 10 Pro 🔒
Liverpool
Alexis Mac AllisterM 100%10 of 10 Pro 🔒
Jarell QuansahD 80%8 of 10 Pro 🔒
Darwin NúñezF 80%8 of 10 Pro 🔒
Harvey ElliottF 80%8 of 10 Pro 🔒
Tyler MortonMform earned at Hull City 70%7 of 10 Pro 🔒
Joe GomezD 60%6 of 10 Pro 🔒
Kostas TsimikasD 60%6 of 10 Pro 🔒
Cody GakpoF 60%6 of 10 Pro 🔒

Southampton
Mateus FernandesM 80%8 of 10 Pro 🔒
Liverpool

Southampton
No Southampton player in this window.
Liverpool
Diogo JotaF 40%4 of 10 Stats only
Cody GakpoF 30%3 of 10 Stats only

Southampton
No Southampton player in this window.
Liverpool
Harvey ElliottF 40%4 of 10 Stats only

Southampton
No Southampton player in this window.
Liverpool
Caoimhin KelleherG 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
Simon Hooper refereed this match

7 matches on record — too few to quote a card rate against. See the 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.