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Player stats 23/24

Clermont Foot v Paris Saint-Germain

Your slip follows you between games.

How often each Clermont Foot 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 Clermont Foot v Paris Saint-Germain: Muhammed-Cham Saračević (Clermont Foot) leads the home side for 1+ shots on target — 6 of 10 (60%); Kylian Mbappé (Paris Saint-Germain) 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.

Clermont Foot
Mehdi ZeffaneD 70%7 of 10 Pro 🔒
Yohann MagninM 70%7 of 10 Pro 🔒
Elbasan RashaniM 60%6 of 10 Pro 🔒
Bilal BoutobbaM 60%3 of 5 Pro 🔒
Paris Saint-Germain
Kylian MbappéF 100%10 of 10 Pro 🔒
Gonçalo RamosF 100%5 of 5 Pro 🔒
Randal Kolo MuaniF 90%9 of 10 Pro 🔒
Achraf HakimiD 80%8 of 10 Pro 🔒
Ousmane DembéléM 80%8 of 10 Pro 🔒
VitinhaM 70%7 of 10 Pro 🔒
Bradley BarcolaM 60%6 of 10 Pro 🔒

Clermont Foot
Paris Saint-Germain
Kylian MbappéF 80%8 of 10 Pro 🔒
Randal Kolo MuaniF 70%7 of 10 Pro 🔒
Achraf HakimiD 60%6 of 10 Pro 🔒
Gonçalo RamosF 60%3 of 5 Pro 🔒

Clermont Foot
Paris Saint-Germain
Kylian MbappéF 80%8 of 10 Pro 🔒

Clermont Foot
Paris Saint-Germain
Kylian MbappéF 80%8 of 10 Pro 🔒
Gonçalo RamosF 80%4 of 5 Pro 🔒
Randal Kolo MuaniF 60%6 of 10 Pro 🔒

Clermont Foot
No Clermont Foot player in this window.
Paris Saint-Germain
Kylian MbappéF 70%7 of 10 Pro 🔒

Clermont Foot
Johan GastienM 80%8 of 10 Pro 🔒
Alidu SeiduD 70%7 of 10 Pro 🔒
Maxime GonalonsM 70%7 of 10 Pro 🔒
Yohann MagninM 60%6 of 10 Pro 🔒
Paris Saint-Germain
Randal Kolo MuaniF 90%9 of 10 Pro 🔒
Achraf HakimiD 70%7 of 10 Pro 🔒
Warren Zaïre-EmeryM 60%6 of 10 Pro 🔒
Kylian MbappéF 60%6 of 10 Pro 🔒
Gonçalo RamosF 60%3 of 5 Pro 🔒

Clermont Foot
No Clermont Foot player in this window.
Paris Saint-Germain
Achraf HakimiD 60%6 of 10 Pro 🔒

Clermont Foot
Alidu SeiduD 100%10 of 10 Pro 🔒
Elbasan RashaniM 70%7 of 10 Pro 🔒
Johan GastienM 60%6 of 10 Pro 🔒
Maxime GonalonsM 60%6 of 10 Pro 🔒
Jim AllevinahM 60%6 of 10 Pro 🔒
Bilal BoutobbaM 60%3 of 5 Pro 🔒
Paris Saint-Germain
Kylian MbappéF 90%9 of 10 Pro 🔒
Achraf HakimiD 80%8 of 10 Pro 🔒
Randal Kolo MuaniF 80%8 of 10 Pro 🔒
Ousmane DembéléM 70%7 of 10 Pro 🔒
Gonçalo RamosF 60%3 of 5 Pro 🔒

Clermont Foot
Alidu SeiduD 90%9 of 10 Pro 🔒
Paris Saint-Germain
Randal Kolo MuaniF 70%7 of 10 Pro 🔒

Clermont Foot
Maximiliano CaufriezD 100%10 of 10 Pro 🔒
Andy PelmardD 83%5 of 6 Pro 🔒
Alidu SeiduD 80%8 of 10 Pro 🔒
Yohann MagninM 80%8 of 10 Pro 🔒
Johan GastienM 70%7 of 10 Pro 🔒
Mehdi ZeffaneD 70%7 of 10 Pro 🔒
Maxime GonalonsM 70%7 of 10 Pro 🔒
Paris Saint-Germain
Achraf HakimiD 90%9 of 10 Pro 🔒
Warren Zaïre-EmeryM 70%7 of 10 Pro 🔒
Milan ŠkriniarD 70%7 of 10 Pro 🔒
VitinhaM 70%7 of 10 Pro 🔒
Fabián RuizM 60%6 of 10 Pro 🔒
Bradley BarcolaM 60%6 of 10 Pro 🔒

Clermont Foot
Alidu SeiduD 70%7 of 10 Pro 🔒
Paris Saint-Germain
No Paris Saint-Germain player in this window.

Clermont Foot
Alidu SeiduD 60%6 of 10 Pro 🔒
Paris Saint-Germain
No Paris Saint-Germain player in this window.

Clermont Foot
No Clermont Foot player in this window.
Paris Saint-Germain
Kylian MbappéF 80%8 of 10 Stats only
Randal Kolo MuaniF 50%5 of 10 Stats only
Achraf HakimiD 30%3 of 10 Stats only

Clermont Foot
No Clermont Foot player in this window.
Paris Saint-Germain
Ousmane DembéléM 30%3 of 10 Stats only
Randal Kolo MuaniF 30%3 of 10 Stats only
Bradley BarcolaM 30%3 of 10 Stats only

Clermont Foot
Mory DiawG 70%7 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
Marc Bollengier refereed this match 3.74cards a gameleague 3.87 70games
Marc Bollengier'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.