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Player stats 24/25

Man City v Southampton

Your slip follows you between games.

How often each Man City 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 Man City v Southampton: Erling Haaland (Man City) 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.

Man City
Erling HaalandF 90%9 of 10 Pro 🔒
Phil FodenM 90%9 of 10 Pro 🔒
Bernardo SilvaM 80%8 of 10 Pro 🔒
Joško GvardiolD 80%8 of 10 Pro 🔒
SavinhoM 60%6 of 10 Pro 🔒
Mateo KovačićM 60%6 of 10 Pro 🔒
İlkay GündoğanM 60%6 of 10 Pro 🔒
Southampton
Adam ArmstrongF 80%8 of 10 Pro 🔒
Tyler DiblingM 78%7 of 9 Pro 🔒
Joe AriboM 70%7 of 10 Pro 🔒
Cameron ArcherF 70%7 of 10 Pro 🔒
Kamaldeen SulemanaM 60%6 of 10 Pro 🔒
Adam LallanaM 60%6 of 10 Pro 🔒
Paul OnuachuF 60%6 of 10 Pro 🔒
Kyle Walker-PetersD 60%6 of 10 Pro 🔒

Man City
Erling HaalandF 90%9 of 10 Pro 🔒
SavinhoM 60%6 of 10 Pro 🔒
Phil FodenM 60%6 of 10 Pro 🔒
Southampton
No Southampton player in this window.

Man City
Erling HaalandF 70%7 of 10 Pro 🔒
Southampton
No Southampton player in this window.

Man City
Erling HaalandF 80%8 of 10 Pro 🔒
Phil FodenM 60%6 of 10 Pro 🔒
Southampton
No Southampton player in this window.

Man City
Erling HaalandF 80%8 of 10 Pro 🔒
Southampton
No Southampton player in this window.

Man City
İlkay GündoğanM 70%7 of 10 Pro 🔒
Erling HaalandF 60%6 of 10 Pro 🔒
Southampton
Mateus FernandesM 86%6 of 7 Pro 🔒
Jack StephensD 80%8 of 10 Pro 🔒
Jan BednarekD 70%7 of 10 Pro 🔒
Tyler DiblingM 67%6 of 9 Pro 🔒
Paul OnuachuF 60%6 of 10 Pro 🔒
Kyle Walker-PetersD 60%6 of 10 Pro 🔒
Flynn DownesM 60%6 of 10 Pro 🔒

Man City
SavinhoM 80%8 of 10 Pro 🔒
Rico LewisD 80%8 of 10 Pro 🔒
İlkay GündoğanM 80%8 of 10 Pro 🔒
Phil FodenM 80%8 of 10 Pro 🔒
Joško GvardiolD 60%6 of 10 Pro 🔒
Southampton
Joe AriboM 90%9 of 10 Pro 🔒
Kyle Walker-PetersD 90%9 of 10 Pro 🔒
Ryan ManningD 80%8 of 10 Pro 🔒
Tyler DiblingM 78%7 of 9 Pro 🔒
Mateus FernandesM 71%5 of 7 Pro 🔒
Kamaldeen SulemanaM 60%6 of 10 Pro 🔒
Flynn DownesM 60%6 of 10 Pro 🔒

Man City
SavinhoM 70%7 of 10 Pro 🔒
Southampton
Kyle Walker-PetersD 60%6 of 10 Pro 🔒

Man City
SavinhoM 90%9 of 10 Pro 🔒
Joško GvardiolD 90%9 of 10 Pro 🔒
Mateo KovačićM 80%8 of 10 Pro 🔒
Manuel AkanjiD 80%8 of 10 Pro 🔒
Rico LewisD 70%7 of 10 Pro 🔒
Rúben DiasD 60%6 of 10 Pro 🔒
Southampton
Flynn DownesM 100%10 of 10 Pro 🔒
Mateus FernandesM 86%6 of 7 Pro 🔒
Jack StephensD 80%8 of 10 Pro 🔒
Kyle Walker-PetersD 80%8 of 10 Pro 🔒
Tyler DiblingM 78%7 of 9 Pro 🔒
James BreeD 70%7 of 10 Pro 🔒

Man City
Joško GvardiolD 70%7 of 10 Pro 🔒
Southampton
Mateus FernandesM 86%6 of 7 Pro 🔒
Jack StephensD 70%7 of 10 Pro 🔒
Flynn DownesM 60%6 of 10 Pro 🔒

Man City
Erling HaalandF 60%6 of 10 Stats only
John StonesD 30%3 of 10 Stats only
Phil FodenM 30%3 of 10 Stats only
Southampton
Adam ArmstrongF 30%3 of 10 Stats only

Man City
Bernardo SilvaM 40%4 of 10 Stats only
SavinhoM 30%3 of 10 Stats only
Southampton
No Southampton player in this window.

Man City
No Man City player in this window.
Southampton
Aaron RamsdaleG 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
Tony Harrington refereed this match 3.83cards a gameleague 4.08 48games
Tony Harrington'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.