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SharpXI©
Player stats 25/26

Liverpool v Southampton

Your slip follows you between games.

How often each Liverpool 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 Liverpool v Southampton: Hugo Ekitiké (Liverpool) 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.

Liverpool
Hugo EkitikéF 90%9 of 10 Pro 🔒
Alexander IsakF 90%9 of 10 Pro 🔒
Andy RobertsonD 70%7 of 10 Pro 🔒
Jeremie FrimpongD 70%7 of 10 Pro 🔒
Federico ChiesaF 60%6 of 10 Pro 🔒
Southampton
Tom FellowsM 80%8 of 10 Pro 🔒
Leo ScienzaF 70%7 of 10 Pro 🔒
Adam ArmstrongF 70%7 of 10 Pro 🔒
Damion DownsF 60%6 of 10 Pro 🔒
Ryan ManningD 60%6 of 10 Pro 🔒

Liverpool
Hugo EkitikéF 80%8 of 10 Pro 🔒
Alexander IsakF 80%8 of 10 Pro 🔒
Southampton
No Southampton player in this window.

Liverpool
Alexander IsakF 60%6 of 10 Pro 🔒
Southampton
No Southampton player in this window.

Liverpool
Hugo EkitikéF 80%8 of 10 Pro 🔒
Alexander IsakF 80%8 of 10 Pro 🔒
Southampton
No Southampton player in this window.

Liverpool
Hugo EkitikéF 70%7 of 10 Pro 🔒
Jayden DannsF 67%2 of 3 Pro 🔒
Conor BradleyD 60%6 of 10 Pro 🔒
Miloš KerkezD 60%6 of 10 Pro 🔒
Southampton
Shea CharlesM 90%9 of 10 Pro 🔒
Flynn DownesM 90%9 of 10 Pro 🔒
Nathan WoodD 70%7 of 10 Pro 🔒
Jay RobinsonF 67%6 of 9 Pro 🔒
Tom FellowsM 60%6 of 10 Pro 🔒

Liverpool
Conor BradleyD 90%9 of 10 Pro 🔒
Miloš KerkezD 80%8 of 10 Pro 🔒
Jeremie FrimpongD 70%7 of 10 Pro 🔒
Southampton
Shea CharlesM 100%10 of 10 Pro 🔒
Leo ScienzaF 100%10 of 10 Pro 🔒
Flynn DownesM 90%9 of 10 Pro 🔒
Tom FellowsM 70%7 of 10 Pro 🔒
Ryan ManningD 60%6 of 10 Pro 🔒

Liverpool
No Liverpool player in this window.
Southampton
Shea CharlesM 90%9 of 10 Pro 🔒
Leo ScienzaF 90%9 of 10 Pro 🔒

Liverpool
No Liverpool player in this window.
Southampton
Shea CharlesM 70%7 of 10 Pro 🔒
Leo ScienzaF 70%7 of 10 Pro 🔒

Liverpool
Giovanni LeoniDform earned at Parma 70%7 of 10 Pro 🔒
Conor BradleyD 60%6 of 10 Pro 🔒
Miloš KerkezD 60%6 of 10 Pro 🔒
Curtis JonesM 60%6 of 10 Pro 🔒
Southampton
Shea CharlesM 100%10 of 10 Pro 🔒
Flynn DownesM 80%8 of 10 Pro 🔒
Nathan WoodD 80%8 of 10 Pro 🔒
Ronnie EdwardsD 70%7 of 10 Pro 🔒
Jay RobinsonF 67%6 of 9 Pro 🔒

Liverpool
No Liverpool player in this window.
Southampton
Shea CharlesM 90%9 of 10 Pro 🔒

Liverpool
Hugo EkitikéF 40%4 of 10 Stats only
Alexander IsakF 40%4 of 10 Stats only
Southampton
No Southampton player in this window.

Liverpool
Hugo EkitikéF 40%4 of 10 Stats only
Southampton
No Southampton player in this window.

Liverpool
Giorgi MamardashviliGform earned at Valencia 70%7 of 10 Stats only
Southampton
Alex McCarthyG 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
Thomas Bramall refereed this match

9 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.