Updated daily through the season. Spot something off? Tell usUpdated daily. Tell us
SharpXI©
Player stats 25/26

West Ham v Man City

Your slip follows you between games.

How often each West Ham 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 West Ham v Man City: Valentín Castellanos (West Ham) leads the home side for 1+ shots on target — 6 of 10 (60%); Antoine Semenyo (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.

West Ham
Jarrod BowenF 90%9 of 10 Pro 🔒
Mateus FernandesM 70%7 of 10 Pro 🔒
Tomáš SoučekM 60%6 of 10 Pro 🔒
Pablo FelipeF 60%3 of 5 Pro 🔒
Man City
Antoine SemenyoM 100%10 of 10 Pro 🔒
Erling HaalandF 90%9 of 10 Pro 🔒
Jérémy DokuF 80%8 of 10 Pro 🔒
Marc GuéhiD 70%7 of 10 Pro 🔒
Tijjani ReijndersM 70%7 of 10 Pro 🔒
Rayan CherkiM 70%7 of 10 Pro 🔒
Nico O'ReillyM 60%6 of 10 Pro 🔒
Phil FodenM 60%6 of 10 Pro 🔒
Omar MarmoushF 60%6 of 10 Pro 🔒

West Ham
Jarrod BowenF 60%6 of 10 Pro 🔒
Man City
Erling HaalandF 90%9 of 10 Pro 🔒
Antoine SemenyoM 80%8 of 10 Pro 🔒

West Ham
Man City
Antoine SemenyoM 80%8 of 10 Pro 🔒
Erling HaalandF 60%6 of 10 Pro 🔒

West Ham
Pablo FelipeF 100%5 of 5 Pro 🔒
Mateus FernandesM 80%8 of 10 Pro 🔒
Tomáš SoučekM 80%8 of 10 Pro 🔒
Man City
Antoine SemenyoM 90%9 of 10 Pro 🔒
Bernardo SilvaM 80%8 of 10 Pro 🔒
RodriM 70%7 of 10 Pro 🔒
Rayan CherkiM 70%7 of 10 Pro 🔒
Nico O'ReillyM 60%6 of 10 Pro 🔒
Erling HaalandF 60%6 of 10 Pro 🔒
Tijjani ReijndersM 60%6 of 10 Pro 🔒

West Ham
Pablo FelipeF 100%5 of 5 Pro 🔒
Tomáš SoučekM 60%6 of 10 Pro 🔒
Man City
No Man City player in this window.

West Ham
Mateus FernandesM 90%9 of 10 Pro 🔒
Pablo FelipeF 80%4 of 5 Pro 🔒
Jarrod BowenF 70%7 of 10 Pro 🔒
Tomáš SoučekM 70%7 of 10 Pro 🔒
Soungoutou MagassaM 60%6 of 10 Pro 🔒
Man City
Jérémy DokuF 90%9 of 10 Pro 🔒
RodriM 80%8 of 10 Pro 🔒
Rayan CherkiM 80%8 of 10 Pro 🔒
Erling HaalandF 70%7 of 10 Pro 🔒
Phil FodenM 60%6 of 10 Pro 🔒
Rayan Aït-NouriD 60%6 of 10 Pro 🔒
Antoine SemenyoM 60%6 of 10 Pro 🔒
Matheus NunesD 60%6 of 10 Pro 🔒

West Ham
Mateus FernandesM 100%10 of 10 Pro 🔒
Pablo FelipeF 100%5 of 5 Pro 🔒
Jean-Clair TodiboD 90%9 of 10 Pro 🔒
Soungoutou MagassaM 80%8 of 10 Pro 🔒
Jarrod BowenF 80%8 of 10 Pro 🔒
Tomáš SoučekM 80%8 of 10 Pro 🔒
Aaron Wan-BissakaM 80%8 of 10 Pro 🔒
Axel DisasiD 60%6 of 10 Pro 🔒
Man City
Abdukodir KhusanovD 80%8 of 10 Pro 🔒
Bernardo SilvaM 80%8 of 10 Pro 🔒
RodriM 80%8 of 10 Pro 🔒
Matheus NunesD 80%8 of 10 Pro 🔒
Rayan CherkiM 80%8 of 10 Pro 🔒
Nico O'ReillyM 70%7 of 10 Pro 🔒
Marc GuéhiD 70%7 of 10 Pro 🔒
Rayan Aït-NouriD 70%7 of 10 Pro 🔒
Antoine SemenyoM 70%7 of 10 Pro 🔒
Jérémy DokuF 60%6 of 10 Pro 🔒

West Ham
Mateus FernandesM 70%7 of 10 Pro 🔒
Soungoutou MagassaM 70%7 of 10 Pro 🔒
Jarrod BowenF 60%6 of 10 Pro 🔒
Pablo FelipeF 60%3 of 5 Pro 🔒
Man City
Abdukodir KhusanovD 60%6 of 10 Pro 🔒
RodriM 60%6 of 10 Pro 🔒

West Ham
Mateus FernandesM 60%6 of 10 Pro 🔒
Man City
No Man City player in this window.

West Ham
No West Ham player in this window.
Man City
Antoine SemenyoM 60%6 of 10 Stats only
Erling HaalandF 30%3 of 10 Stats only
Tijjani ReijndersM 30%3 of 10 Stats only

West Ham
Jarrod BowenF 40%4 of 10 Stats only
Man City
Erling HaalandF 30%3 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-10% cards vs the league average
Michael Oliver refereed this match 3.67cards a gameleague 4.08 114games
Michael Oliver'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.