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Player stats · 25/26

Paris Saint-Germain v AS Monaco

How often each Paris Saint-Germain and AS Monaco 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 Paris Saint-Germain v AS Monaco: Khvicha Kvaratskhelia (Paris Saint-Germain) leads the home side for 1+ shots on target — 7 of 10 (70%); Folarin Balogun (AS Monaco) 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 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.

Paris Saint-Germain
João NevesM 90%9 of 10 Pro 🔒
Nuno MendesD 90%9 of 10 Pro 🔒
Kang-in LeeM 90%9 of 10 Pro 🔒
Achraf HakimiD 80%8 of 10 Pro 🔒
Désiré DouéF 80%8 of 10 Pro 🔒
Bradley BarcolaF 80%8 of 10 Pro 🔒
Gonçalo RamosF 70%7 of 10 Pro 🔒
AS Monaco
Folarin BalogunF 90%9 of 10 Pro 🔒
Maghnes AklioucheF 70%7 of 10 Pro 🔒
Lamine CamaraM 60%6 of 10 Pro 🔒
Denis ZakariaD 60%6 of 10 Pro 🔒
Simon AdingraF 60%6 of 10 Pro 🔒

Paris Saint-Germain
Désiré DouéF 60%6 of 10 Pro 🔒
Nuno MendesD 60%6 of 10 Pro 🔒
Bradley BarcolaF 60%6 of 10 Pro 🔒
Gonçalo RamosF 60%6 of 10 Pro 🔒
AS Monaco
Folarin BalogunF 80%8 of 10 Pro 🔒

Paris Saint-Germain
No Paris Saint-Germain player in this window.
AS Monaco
Folarin BalogunF 60%6 of 10 Pro 🔒

Paris Saint-Germain
Désiré DouéF 70%7 of 10 Pro 🔒
Nuno MendesD 60%6 of 10 Pro 🔒
Bradley BarcolaF 60%6 of 10 Pro 🔒
Kang-in LeeM 60%6 of 10 Pro 🔒
Gonçalo RamosF 60%6 of 10 Pro 🔒
AS Monaco
Folarin BalogunF 80%8 of 10 Pro 🔒

Paris Saint-Germain
Désiré DouéF 80%8 of 10 Pro 🔒
Warren Zaïre-EmeryM 70%7 of 10 Pro 🔒
VitinhaM 60%6 of 10 Pro 🔒
João NevesM 60%6 of 10 Pro 🔒
Gonçalo RamosF 60%6 of 10 Pro 🔒
AS Monaco
Mamadou CoulibalyM 100%10 of 10 Pro 🔒
Aladji BambaM 88%7 of 8 Pro 🔒
Thilo KehrerD 80%8 of 10 Pro 🔒
VandersonM 70%7 of 10 Pro 🔒
Folarin BalogunF 70%7 of 10 Pro 🔒
Jordan TezeD 70%7 of 10 Pro 🔒
Caio HenriqueM 60%6 of 10 Pro 🔒
Denis ZakariaD 60%6 of 10 Pro 🔒
Simon AdingraF 60%6 of 10 Pro 🔒
Christian MawissaD 60%6 of 10 Pro 🔒

Paris Saint-Germain
Désiré DouéF 90%9 of 10 Pro 🔒
Achraf HakimiD 80%8 of 10 Pro 🔒
VitinhaM 60%6 of 10 Pro 🔒
Nuno MendesD 60%6 of 10 Pro 🔒
Kang-in LeeM 60%6 of 10 Pro 🔒
AS Monaco
Maghnes AklioucheF 80%8 of 10 Pro 🔒
Folarin BalogunF 80%8 of 10 Pro 🔒
Caio HenriqueM 70%7 of 10 Pro 🔒
Lamine CamaraM 70%7 of 10 Pro 🔒
Jordan TezeD 60%6 of 10 Pro 🔒

Paris Saint-Germain
No Paris Saint-Germain player in this window.
AS Monaco
Folarin BalogunF 60%6 of 10 Pro 🔒

Paris Saint-Germain
Désiré DouéF 40%4 of 10 Stats only
Bradley BarcolaF 40%4 of 10 Stats only
Khvicha KvaratskheliaF 30%3 of 10 Stats only
Nuno MendesD 30%3 of 10 Stats only
Gonçalo RamosF 30%3 of 10 Stats only
AS Monaco
Mamadou CoulibalyM 30%3 of 10 Stats only

Paris Saint-Germain
Warren Zaïre-EmeryM 30%3 of 10 Stats only
AS Monaco
No AS Monaco 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+20% cards vs the league average
Istvan Kovacs refereed this match 4.77cards a game· league 3.96 26games
Istvan Kovacs'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.