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Player stats 25/26

Wolves v Man City

Your slip follows you between games.

How often each Wolves 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 Wolves v Man City: Jørgen Strand Larsen (Wolves) leads the home side for 1+ shots on target — 7 of 10 (70%); Erling Haaland (Man City) tops the visitors on 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
Fer LópezFform earned at Celta Vigo 90%9 of 10 Pro 🔒
João GomesM 60%6 of 10 Pro 🔒
Marshall MunetsiF 60%6 of 10 Pro 🔒
Man City
Erling HaalandF 100%10 of 10 Pro 🔒
Omar MarmoushF 100%10 of 10 Pro 🔒
Tijjani ReijndersMform earned at AC Milan 80%8 of 10 Pro 🔒
Rayan CherkiMform earned at Olympique Lyonnais 80%8 of 10 Pro 🔒
Rayan Aït-NouriDform earned at Wolverhampton 70%7 of 10 Pro 🔒
Nico O'ReillyM 67%6 of 9 Pro 🔒
Nico GonzálezM 60%6 of 10 Pro 🔒

Wolves
No Wolves player in this window.
Man City
Omar MarmoushF 100%10 of 10 Pro 🔒
Erling HaalandF 70%7 of 10 Pro 🔒
Tijjani ReijndersMform earned at AC Milan 70%7 of 10 Pro 🔒

Wolves
No Wolves player in this window.
Man City
Omar MarmoushF 70%7 of 10 Pro 🔒

Wolves
Man City
Erling HaalandF 80%8 of 10 Pro 🔒
Rayan Aït-NouriDform earned at Wolverhampton 70%7 of 10 Pro 🔒
Omar MarmoushF 60%6 of 10 Pro 🔒
Rayan CherkiMform earned at Olympique Lyonnais 60%6 of 10 Pro 🔒

Wolves
João GomesM 80%8 of 10 Pro 🔒
Marshall MunetsiF 80%8 of 10 Pro 🔒
AndréM 70%7 of 10 Pro 🔒
Toti GomesD 70%7 of 10 Pro 🔒
Ki-Jana HoeverMform earned at Auxerre 60%6 of 10 Pro 🔒
Man City
Nico GonzálezM 80%8 of 10 Pro 🔒
Erling HaalandF 70%7 of 10 Pro 🔒
Bernardo SilvaM 60%6 of 10 Pro 🔒
Omar MarmoushF 60%6 of 10 Pro 🔒
Tijjani ReijndersMform earned at AC Milan 60%6 of 10 Pro 🔒
Matheus NunesM 60%6 of 10 Pro 🔒

Wolves
João GomesM 60%6 of 10 Pro 🔒
Marshall MunetsiF 60%6 of 10 Pro 🔒
Man City
No Man City player in this window.

Wolves
João GomesM 90%9 of 10 Pro 🔒
AndréM 60%6 of 10 Pro 🔒
Fer LópezFform earned at Celta Vigo 60%6 of 10 Pro 🔒
Man City
Jérémy DokuF 90%9 of 10 Pro 🔒
Rayan Aït-NouriDform earned at Wolverhampton 80%8 of 10 Pro 🔒
Rico LewisD 70%7 of 10 Pro 🔒
Bernardo SilvaM 70%7 of 10 Pro 🔒
Rayan CherkiMform earned at Olympique Lyonnais 70%7 of 10 Pro 🔒

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

Wolves
Toti GomesD 100%10 of 10 Pro 🔒
Emmanuel AgbadouD 90%9 of 10 Pro 🔒
João GomesM 90%9 of 10 Pro 🔒
AndréM 90%9 of 10 Pro 🔒
Marshall MunetsiF 90%9 of 10 Pro 🔒
Ki-Jana HoeverMform earned at Auxerre 70%7 of 10 Pro 🔒
Matt DohertyD 60%6 of 10 Pro 🔒
Man City
Rayan Aït-NouriDform earned at Wolverhampton 100%10 of 10 Pro 🔒
Bernardo SilvaM 90%9 of 10 Pro 🔒
Nico O'ReillyM 78%7 of 9 Pro 🔒
Abdukodir KhusanovD 70%7 of 10 Pro 🔒
Jérémy DokuF 60%6 of 10 Pro 🔒
Nico GonzálezM 60%6 of 10 Pro 🔒

Wolves
João GomesM 80%8 of 10 Pro 🔒
AndréM 70%7 of 10 Pro 🔒
Man City
Rayan Aït-NouriDform earned at Wolverhampton 60%6 of 10 Pro 🔒

Wolves
João GomesM 80%8 of 10 Pro 🔒
AndréM 60%6 of 10 Pro 🔒
Man City
No Man City player in this window.

Wolves
Jørgen Strand LarsenF 60%6 of 10 Stats only
Man City
Erling HaalandF 60%6 of 10 Stats only
Omar MarmoushF 40%4 of 10 Stats only
Rayan CherkiMform earned at Olympique Lyonnais 30%3 of 10 Stats only

Wolves
Jean-Ricner BellegardeF 30%3 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
Jarred Gillett refereed this match 3.85cards a gameleague 4.08 80games
Jarred Gillett'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.