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Player stats 23/24

Clermont Foot v Stade Rennais

Your slip follows you between games.

How often each Clermont Foot and Stade Rennais 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 Stade Rennais: Amine Gouiri (Stade Rennais) tops the visitors for 1+ shots on target — 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.

Clermont Foot
Jim AllevinahF 70%7 of 10 Pro 🔒
Aïman MaurerF 60%6 of 10 Pro 🔒
Grejohn KyeiF 60%6 of 10 Pro 🔒
Shamar NicholsonF 60%6 of 10 Pro 🔒
Stade Rennais
Amine GouiriF 100%10 of 10 Pro 🔒
Arnaud KalimuendoF 90%9 of 10 Pro 🔒
Ibrahim SalahF 70%7 of 10 Pro 🔒
Désiré DouéM 60%6 of 10 Pro 🔒
Ludovic BlasM 60%6 of 10 Pro 🔒
Arthur TheateD 60%6 of 10 Pro 🔒

Clermont Foot
No Clermont Foot player in this window.
Stade Rennais
Amine GouiriF 70%7 of 10 Pro 🔒

Clermont Foot
No Clermont Foot player in this window.
Stade Rennais
Amine GouiriF 70%7 of 10 Pro 🔒

Clermont Foot
Alidu SeiduD 90%9 of 10 Pro 🔒
Grejohn KyeiF 80%8 of 10 Pro 🔒
Johan GastienM 70%7 of 10 Pro 🔒
Maxime GonalonsM 70%7 of 10 Pro 🔒
Neto BorgesM 60%6 of 10 Pro 🔒
Yohann MagninM 60%6 of 10 Pro 🔒
Stade Rennais
Arnaud KalimuendoF 80%8 of 10 Pro 🔒
Christopher WoohD 70%7 of 10 Pro 🔒
Adrien TruffertD 70%7 of 10 Pro 🔒
Ludovic BlasM 60%6 of 10 Pro 🔒
Amine GouiriF 60%6 of 10 Pro 🔒

Clermont Foot
Alidu SeiduD 60%6 of 10 Pro 🔒
Stade Rennais
No Stade Rennais player in this window.

Clermont Foot
Alidu SeiduD 90%9 of 10 Pro 🔒
Shamar NicholsonF 80%8 of 10 Pro 🔒
Jim AllevinahF 80%8 of 10 Pro 🔒
Neto BorgesM 70%7 of 10 Pro 🔒
Stade Rennais
Désiré DouéM 80%8 of 10 Pro 🔒
Arnaud KalimuendoF 80%8 of 10 Pro 🔒
Martin TerrierF 70%7 of 10 Pro 🔒
Jeanuël BelocianD 60%6 of 10 Pro 🔒
Ludovic BlasM 60%6 of 10 Pro 🔒
Adrien TruffertD 60%6 of 10 Pro 🔒

Clermont Foot
Alidu SeiduD 80%8 of 10 Pro 🔒
Stade Rennais
No Stade Rennais player in this window.

Clermont Foot
Maximiliano CaufriezD 100%10 of 10 Pro 🔒
Andy PelmardD 90%9 of 10 Pro 🔒
Neto BorgesM 80%8 of 10 Pro 🔒
Johan GastienM 70%7 of 10 Pro 🔒
Alidu SeiduD 60%6 of 10 Pro 🔒
Habib KeitaM 60%6 of 10 Pro 🔒
Maxime GonalonsM 60%6 of 10 Pro 🔒
Stade Rennais
Christopher WoohD 90%9 of 10 Pro 🔒
Enzo Le FéeM 90%9 of 10 Pro 🔒
Désiré DouéM 70%7 of 10 Pro 🔒
Jeanuël BelocianD 70%7 of 10 Pro 🔒
Baptiste SantamariaM 70%7 of 10 Pro 🔒
Amine GouiriF 60%6 of 10 Pro 🔒
Adrien TruffertD 60%6 of 10 Pro 🔒

Clermont Foot
Andy PelmardD 70%7 of 10 Pro 🔒
Alidu SeiduD 60%6 of 10 Pro 🔒
Maxime GonalonsM 60%6 of 10 Pro 🔒
Stade Rennais
No Stade Rennais player in this window.

Clermont Foot
Alidu SeiduD 60%6 of 10 Pro 🔒
Stade Rennais
No Stade Rennais player in this window.

Clermont Foot
Mory DiawG 100%10 of 10 Stats only
Stade Rennais
Steve MandandaG 60%6 of 10 Stats only

Clermont Foot
Mory DiawG 70%7 of 10 Stats only
Stade Rennais
No Stade Rennais 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-12% cards vs the league average
Eric Wattellier refereed this match 3.40cards a gameleague 3.87 80games
Eric Wattellier'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.