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Player stats 23/24

Clermont Foot v AS Monaco

Your slip follows you between games.

How often each Clermont Foot 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 Clermont Foot v AS Monaco: Grejohn Kyei (Clermont Foot) leads the home side for 1+ shots on target — 7 of 10 (70%); Wissam Ben Yedder (AS Monaco) tops the visitors on 9 of 10 (90%). 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
Grejohn KyeiF 100%10 of 10 Pro 🔒
Jérémie BelaF 60%6 of 10 Pro 🔒
AS Monaco
Wissam Ben YedderF 100%10 of 10 Pro 🔒
Takumi MinaminoF 90%9 of 10 Pro 🔒
Aleksandr GolovinF 80%8 of 10 Pro 🔒
VandersonM 70%7 of 10 Pro 🔒
Youssouf FofanaM 70%7 of 10 Pro 🔒
Mohamed CamaraM 60%6 of 10 Pro 🔒

Clermont Foot
AS Monaco
Wissam Ben YedderF 70%7 of 10 Pro 🔒
Takumi MinaminoF 60%6 of 10 Pro 🔒

Clermont Foot
No Clermont Foot player in this window.
AS Monaco
Wissam Ben YedderF 60%6 of 10 Pro 🔒

Clermont Foot
Grejohn KyeiF 70%7 of 10 Pro 🔒
AS Monaco
Wissam Ben YedderF 90%9 of 10 Pro 🔒
Aleksandr GolovinF 60%6 of 10 Pro 🔒

Clermont Foot
Alidu SeiduD 80%8 of 10 Pro 🔒
Grejohn KyeiF 80%8 of 10 Pro 🔒
Maxime GonalonsM 80%8 of 10 Pro 🔒
Jim AllevinahF 70%7 of 10 Pro 🔒
Johan GastienM 60%6 of 10 Pro 🔒
Mateusz WieteskaD 60%6 of 10 Pro 🔒
Neto BorgesM 60%6 of 10 Pro 🔒
AS Monaco
Youssouf FofanaM 90%9 of 10 Pro 🔒
Mohamed CamaraM 80%8 of 10 Pro 🔒
Eliot MatazoM 80%8 of 10 Pro 🔒
VandersonM 80%8 of 10 Pro 🔒
Takumi MinaminoF 70%7 of 10 Pro 🔒
Aleksandr GolovinF 60%6 of 10 Pro 🔒
Guillermo MaripánD 60%6 of 10 Pro 🔒

Clermont Foot
Grejohn KyeiF 70%7 of 10 Pro 🔒
AS Monaco
No AS Monaco player in this window.

Clermont Foot
Alidu SeiduD 100%10 of 10 Pro 🔒
Johan GastienM 80%8 of 10 Pro 🔒
Grejohn KyeiF 80%8 of 10 Pro 🔒
Mateusz WieteskaD 70%7 of 10 Pro 🔒
Maxime GonalonsM 70%7 of 10 Pro 🔒
Neto BorgesM 70%7 of 10 Pro 🔒
AS Monaco
Mohamed CamaraM 100%10 of 10 Pro 🔒
Youssouf FofanaM 70%7 of 10 Pro 🔒
VandersonM 60%6 of 10 Pro 🔒
Wissam Ben YedderF 60%6 of 10 Pro 🔒
Caio HenriqueM 60%6 of 10 Pro 🔒
Krépin DiattaM 60%6 of 10 Pro 🔒

Clermont Foot
Alidu SeiduD 100%10 of 10 Pro 🔒
AS Monaco
No AS Monaco player in this window.

Clermont Foot
Alidu SeiduD 90%9 of 10 Pro 🔒
Johan GastienM 90%9 of 10 Pro 🔒
Mateusz WieteskaD 90%9 of 10 Pro 🔒
Mehdi ZeffaneM 80%8 of 10 Pro 🔒
Maxime GonalonsM 70%7 of 10 Pro 🔒
Yohann MagninM 70%7 of 10 Pro 🔒
Jim AllevinahF 60%6 of 10 Pro 🔒
AS Monaco
Mohamed CamaraM 90%9 of 10 Pro 🔒
VandersonM 90%9 of 10 Pro 🔒
Takumi MinaminoF 80%8 of 10 Pro 🔒
Aleksandr GolovinF 80%8 of 10 Pro 🔒
Guillermo MaripánD 80%8 of 10 Pro 🔒
Caio HenriqueM 80%8 of 10 Pro 🔒
Eliot MatazoM 70%7 of 10 Pro 🔒
Krépin DiattaM 70%7 of 10 Pro 🔒
Youssouf FofanaM 70%7 of 10 Pro 🔒
Chrislain MatsimaD 60%6 of 10 Pro 🔒

Clermont Foot
Alidu SeiduD 60%6 of 10 Pro 🔒
Johan GastienM 60%6 of 10 Pro 🔒
Maxime GonalonsM 60%6 of 10 Pro 🔒
Yohann MagninM 60%6 of 10 Pro 🔒
AS Monaco
VandersonM 90%9 of 10 Pro 🔒
Mohamed CamaraM 80%8 of 10 Pro 🔒
Guillermo MaripánD 60%6 of 10 Pro 🔒
Caio HenriqueM 60%6 of 10 Pro 🔒
Youssouf FofanaM 60%6 of 10 Pro 🔒

Clermont Foot
Maxime GonalonsM 60%6 of 10 Pro 🔒
AS Monaco
VandersonM 60%6 of 10 Pro 🔒

Clermont Foot
Grejohn KyeiF 50%5 of 10 Stats only
Muhammed-Cham SaračevićF 30%3 of 10 Stats only
AS Monaco
Wissam Ben YedderF 30%3 of 10 Stats only

Clermont Foot
Mory DiawG 80%8 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
François Letexier refereed this match 4.22cards a gameleague 3.87 69games
François Letexier'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.