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Player stats 24/25

Southampton v Man City

Your slip follows you between games.

How often each Southampton and Man City 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 Man City: Erling Haaland (Man City) tops the visitors for 1+ shots on target — 9 of 10 (90%). 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
Mateus FernandesF 80%8 of 10 Pro 🔒
Kamaldeen SulemanaF 70%7 of 10 Pro 🔒
Lesley UgochukwuM 60%6 of 10 Pro 🔒
Man City
Erling HaalandF 100%10 of 10 Pro 🔒
SavinhoF 90%9 of 10 Pro 🔒
Omar MarmoushF 90%9 of 10 Pro 🔒
Nico O'ReillyM 75%6 of 8 Pro 🔒
Kevin De BruyneM 70%7 of 10 Pro 🔒
James McAteeM 60%6 of 10 Pro 🔒
Mateo KovačićM 60%6 of 10 Pro 🔒
Phil FodenM 60%6 of 10 Pro 🔒

Southampton
No Southampton player in this window.
Man City
Erling HaalandF 90%9 of 10 Pro 🔒
Omar MarmoushF 80%8 of 10 Pro 🔒
SavinhoF 60%6 of 10 Pro 🔒

Southampton
No Southampton player in this window.
Man City
Erling HaalandF 60%6 of 10 Pro 🔒
Omar MarmoushF 60%6 of 10 Pro 🔒

Southampton
No Southampton player in this window.
Man City
Erling HaalandF 90%9 of 10 Pro 🔒
SavinhoF 70%7 of 10 Pro 🔒
Kevin De BruyneM 60%6 of 10 Pro 🔒
Omar MarmoushF 60%6 of 10 Pro 🔒

Southampton
No Southampton player in this window.
Man City
Erling HaalandF 60%6 of 10 Pro 🔒

Southampton
Flynn DownesM 100%10 of 10 Pro 🔒
Kamaldeen SulemanaF 70%7 of 10 Pro 🔒
Mateus FernandesF 70%7 of 10 Pro 🔒
Lesley UgochukwuM 60%6 of 10 Pro 🔒
Jan BednarekD 60%6 of 10 Pro 🔒
Ryan ManningD 60%6 of 10 Pro 🔒
Joe AriboM 60%6 of 10 Pro 🔒
Ross StewartF 60%6 of 10 Pro 🔒
Man City
Bernardo SilvaM 70%7 of 10 Pro 🔒
Omar MarmoushF 70%7 of 10 Pro 🔒
Nico O'ReillyM 62%5 of 8 Pro 🔒
Erling HaalandF 60%6 of 10 Pro 🔒

Southampton
Mateus FernandesF 70%7 of 10 Pro 🔒
Ryan ManningD 70%7 of 10 Pro 🔒
Flynn DownesM 70%7 of 10 Pro 🔒
Tyler DiblingF 60%6 of 10 Pro 🔒
Man City
Jérémy DokuF 100%10 of 10 Pro 🔒
SavinhoF 90%9 of 10 Pro 🔒
Bernardo SilvaM 70%7 of 10 Pro 🔒
Phil FodenM 70%7 of 10 Pro 🔒
Rico LewisD 60%6 of 10 Pro 🔒
Omar MarmoushF 60%6 of 10 Pro 🔒
Joško GvardiolD 60%6 of 10 Pro 🔒

Southampton
Ryan ManningD 60%6 of 10 Pro 🔒
Man City
No Man City player in this window.

Southampton
Mateus FernandesF 90%9 of 10 Pro 🔒
Jack StephensD 80%8 of 10 Pro 🔒
Flynn DownesM 80%8 of 10 Pro 🔒
WelingtonM 71%5 of 7 Pro 🔒
Lesley UgochukwuM 70%7 of 10 Pro 🔒
Jan BednarekD 70%7 of 10 Pro 🔒
Will SmallboneM 70%7 of 10 Pro 🔒
Ryan ManningD 60%6 of 10 Pro 🔒
Joe AriboM 60%6 of 10 Pro 🔒
Man City
Bernardo SilvaM 90%9 of 10 Pro 🔒
Nico O'ReillyM 88%7 of 8 Pro 🔒
Joško GvardiolD 80%8 of 10 Pro 🔒
Mateo KovačićM 60%6 of 10 Pro 🔒
Jérémy DokuF 60%6 of 10 Pro 🔒

Southampton
Mateus FernandesF 60%6 of 10 Pro 🔒
Man City
Bernardo SilvaM 70%7 of 10 Pro 🔒

Southampton
No Southampton player in this window.
Man City
Bernardo SilvaM 60%6 of 10 Pro 🔒

Southampton
No Southampton player in this window.
Man City
Erling HaalandF 70%7 of 10 Stats only
James McAteeM 30%3 of 10 Stats only
Omar MarmoushF 30%3 of 10 Stats only

Southampton
No Southampton player in this window.
Man City
SavinhoF 30%3 of 10 Stats only
EdersonG 30%3 of 10 Stats only

Southampton
Aaron RamsdaleG 70%7 of 10 Stats only
Man City
No Man City 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
Tim Robinson refereed this match 4.33cards a gameleague 4.08 48games
Tim Robinson'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.