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SharpXI©
Player stats 22/23

Man City v Chelsea

Your slip follows you between games.

How often each Man City and Chelsea 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 Chelsea: İlkay Gündoğan (Man City) leads the home side for 1+ shots on target — 6 of 10 (60%); Kai Havertz (Chelsea) tops the visitors on 7 of 10 (70%). 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
Aymeric LaporteD 100%3 of 3 Pro 🔒
İlkay GündoğanM 80%8 of 10 Pro 🔒
Bernardo SilvaM 70%7 of 10 Pro 🔒
RodriM 70%7 of 10 Pro 🔒
Jack GrealishF 62%5 of 8 Pro 🔒
Chelsea
Kai HavertzM 80%8 of 10 Pro 🔒
Kalidou KoulibalyD 62%5 of 8 Pro 🔒
Raheem SterlingF 60%6 of 10 Pro 🔒
Mason MountM 60%6 of 10 Pro 🔒

Man City
İlkay GündoğanM 60%6 of 10 Pro 🔒
Chelsea
Kai HavertzM 70%7 of 10 Pro 🔒

Man City
RodriM 80%8 of 10 Pro 🔒
Chelsea
Kalidou KoulibalyD 75%6 of 8 Pro 🔒
Kai HavertzM 70%7 of 10 Pro 🔒
Raheem SterlingF 60%6 of 10 Pro 🔒
Mason MountM 60%6 of 10 Pro 🔒

Man City
Jack GrealishF 88%7 of 8 Pro 🔒
Chelsea
Ruben Loftus-CheekD 70%7 of 10 Pro 🔒
Raheem SterlingF 60%6 of 10 Pro 🔒
Mason MountM 60%6 of 10 Pro 🔒
Kai HavertzM 60%6 of 10 Pro 🔒

Man City
Jack GrealishF 75%6 of 8 Pro 🔒
Chelsea
No Chelsea player in this window.

Man City
Bernardo SilvaM 80%8 of 10 Pro 🔒
RodriM 80%8 of 10 Pro 🔒
İlkay GündoğanM 70%7 of 10 Pro 🔒
Rico LewisD 67%2 of 3 Pro 🔒
Chelsea
Kai HavertzM 90%9 of 10 Pro 🔒
Kalidou KoulibalyD 75%6 of 8 Pro 🔒
Trevoh ChalobahD 71%5 of 7 Pro 🔒
César AzpilicuetaD 70%7 of 10 Pro 🔒
Mason MountM 70%7 of 10 Pro 🔒
Conor GallagherM 70%7 of 10 Pro 🔒
Mateo KovačićM 60%6 of 10 Pro 🔒
Ruben Loftus-CheekD 60%6 of 10 Pro 🔒
Marc CucurellaD 60%6 of 10 Pro 🔒

Man City
RodriM 60%6 of 10 Pro 🔒
Chelsea
Kalidou KoulibalyD 62%5 of 8 Pro 🔒

Man City
No Man City player in this window.
Chelsea
Kai HavertzM 30%3 of 10 Stats only

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

Man City
No Man City player in this window.
Chelsea
Edouard MendyG 75%6 of 8 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
Simon Hooper refereed this match

7 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.