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Player stats 26/27

Man City v Paris Saint-Germain

Your slip follows you between games.

How often each Man City and Paris Saint-Germain 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 Paris Saint-Germain: Erling Haaland (Man City) leads the home side for 1+ shots on target — 10 of 10 (100%); Désiré Doué (Paris Saint-Germain) 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 25/26 figures from completed matches: Last N is their last N games; Season is their whole 25/26; H2H is only games against this opponent.

Man City
Erling HaalandF 100%10 of 10 Pro 🔒
Jérémy DokuF 100%10 of 10 Pro 🔒
Antoine SemenyoF 90%9 of 10 Pro 🔒
Iliman NdiayeF 80%8 of 10 Pro 🔒
Rayan CherkiM 80%8 of 10 Pro 🔒
Enzo FernándezM 70%7 of 10 Pro 🔒
Nico O'ReillyD 60%6 of 10 Pro 🔒
Abdukodir KhusanovD 60%6 of 10 Pro 🔒
Joško GvardiolD 60%6 of 10 Pro 🔒
Elliot AndersonM 60%6 of 10 Pro 🔒
Paris Saint-Germain
Désiré DouéF 100%10 of 10 Pro 🔒
João NevesM 90%9 of 10 Pro 🔒
Achraf HakimiD 90%9 of 10 Pro 🔒
Nuno MendesD 90%9 of 10 Pro 🔒
Ousmane DembéléF 80%8 of 10 Pro 🔒
Ferran TorresF 80%8 of 10 Pro 🔒
Fabián RuizM 70%7 of 10 Pro 🔒
Maghnes AklioucheF 60%6 of 10 Pro 🔒
VitinhaM 60%6 of 10 Pro 🔒

Man City
Erling HaalandF 100%10 of 10 Pro 🔒
Jérémy DokuF 70%7 of 10 Pro 🔒
Paris Saint-Germain
Ousmane DembéléF 80%8 of 10 Pro 🔒
Désiré DouéF 70%7 of 10 Pro 🔒
Ferran TorresF 70%7 of 10 Pro 🔒
Achraf HakimiD 60%6 of 10 Pro 🔒

Man City
Erling HaalandF 70%7 of 10 Pro 🔒
Paris Saint-Germain
Ousmane DembéléF 60%6 of 10 Pro 🔒

Man City
Erling HaalandF 100%10 of 10 Pro 🔒
Antoine SemenyoF 60%6 of 10 Pro 🔒
Jérémy DokuF 60%6 of 10 Pro 🔒
Paris Saint-Germain
Désiré DouéF 70%7 of 10 Pro 🔒
Nuno MendesD 70%7 of 10 Pro 🔒
Ousmane DembéléF 60%6 of 10 Pro 🔒
Ferran TorresF 60%6 of 10 Pro 🔒

Man City
Nico O'ReillyD 90%9 of 10 Pro 🔒
Antoine SemenyoF 80%8 of 10 Pro 🔒
Elliot AndersonM 80%8 of 10 Pro 🔒
Ayyoub BouaddiM 60%6 of 10 Pro 🔒
Erling HaalandF 60%6 of 10 Pro 🔒
Iliman NdiayeF 60%6 of 10 Pro 🔒
Paris Saint-Germain
Maghnes AklioucheF 70%7 of 10 Pro 🔒
Désiré DouéF 60%6 of 10 Pro 🔒

Man City
Elliot AndersonM 100%10 of 10 Pro 🔒
Marc GuéhiD 90%9 of 10 Pro 🔒
Enzo FernándezM 90%9 of 10 Pro 🔒
Jérémy DokuF 70%7 of 10 Pro 🔒
Erling HaalandF 60%6 of 10 Pro 🔒
Iliman NdiayeF 60%6 of 10 Pro 🔒
Paris Saint-Germain
Nuno MendesD 70%7 of 10 Pro 🔒
Désiré DouéF 60%6 of 10 Pro 🔒
João NevesM 60%6 of 10 Pro 🔒
Achraf HakimiD 60%6 of 10 Pro 🔒
Ferran TorresF 60%6 of 10 Pro 🔒

Man City
Elliot AndersonM 70%7 of 10 Pro 🔒
Jérémy DokuF 60%6 of 10 Pro 🔒
Paris Saint-Germain
Nuno MendesD 60%6 of 10 Pro 🔒

Man City
Elliot AndersonM 100%10 of 10 Pro 🔒
Nico O'ReillyD 70%7 of 10 Pro 🔒
Abdukodir KhusanovD 70%7 of 10 Pro 🔒
Ayyoub BouaddiM 70%7 of 10 Pro 🔒
Iliman NdiayeF 70%7 of 10 Pro 🔒
Matheus NunesM 70%7 of 10 Pro 🔒
Enzo FernándezM 70%7 of 10 Pro 🔒
Antoine SemenyoF 60%6 of 10 Pro 🔒
Joško GvardiolD 60%6 of 10 Pro 🔒
Paris Saint-Germain
Désiré DouéF 90%9 of 10 Pro 🔒
Lucas BeraldoD 80%8 of 10 Pro 🔒
Maghnes AklioucheF 70%7 of 10 Pro 🔒
João NevesM 70%7 of 10 Pro 🔒
Willian PachoD 70%7 of 10 Pro 🔒
Warren Zaïre-EmeryM 60%6 of 10 Pro 🔒
Lucas HernándezD 60%6 of 10 Pro 🔒
Fabián RuizM 60%6 of 10 Pro 🔒
Achraf HakimiD 60%6 of 10 Pro 🔒
VitinhaM 60%6 of 10 Pro 🔒
Nuno MendesD 60%6 of 10 Pro 🔒

Man City
Elliot AndersonM 70%7 of 10 Pro 🔒
Paris Saint-Germain
Désiré DouéF 60%6 of 10 Pro 🔒

Man City
Erling HaalandF 90%9 of 10 Stats only
Jérémy DokuF 40%4 of 10 Stats only
Antoine SemenyoF 30%3 of 10 Stats only
Enzo FernándezM 30%3 of 10 Stats only
Rayan CherkiM 30%3 of 10 Stats only
Paris Saint-Germain
Ferran TorresF 50%5 of 10 Stats only
MarquinhosD 30%3 of 10 Stats only
Khvicha KvaratskheliaF 30%3 of 10 Stats only

Man City
Antoine SemenyoF 30%3 of 10 Stats only
Joško GvardiolD 30%3 of 10 Stats only
Paris Saint-Germain
Désiré DouéF 30%3 of 10 Stats only
Ousmane DembéléF 30%3 of 10 Stats only
Nuno MendesD 30%3 of 10 Stats only

Man City
Gianluigi DonnarummaG 60%6 of 10 Stats only
Paris Saint-Germain
No Paris Saint-Germain 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
Sven Jablonski refereed this match

6 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.