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Player stats 23/24

Lille v Clermont Foot

Your slip follows you between games.

How often each Lille and Clermont Foot 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 Lille v Clermont Foot: Edon Zhegrova (Lille) leads the home side for 1+ shots on target — 6 of 10 (60%); Jim Allevinah (Clermont Foot) tops the visitors on 6 of 10 (60%). 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.

Lille
Edon ZhegrovaM 100%10 of 10 Pro 🔒
Angel GomesM 90%9 of 10 Pro 🔒
Yusuf YazıcıM 80%8 of 10 Pro 🔒
Jonathan DavidF 80%8 of 10 Pro 🔒
Tiago SantosD 60%6 of 10 Pro 🔒
Rémy CabellaM 60%6 of 10 Pro 🔒
Clermont Foot
Jim AllevinahF 80%8 of 10 Pro 🔒
Grejohn KyeiF 60%6 of 10 Pro 🔒
Shamar NicholsonF 60%6 of 10 Pro 🔒

Lille
Edon ZhegrovaM 90%9 of 10 Pro 🔒
Jonathan DavidF 70%7 of 10 Pro 🔒
Yusuf YazıcıM 60%6 of 10 Pro 🔒
Clermont Foot
No Clermont Foot player in this window.

Lille
Jonathan DavidF 60%6 of 10 Pro 🔒
Clermont Foot
No Clermont Foot player in this window.

Lille
Edon ZhegrovaM 60%6 of 10 Pro 🔒
Clermont Foot
Jim AllevinahF 60%6 of 10 Pro 🔒

Lille
Benjamin AndréM 90%9 of 10 Pro 🔒
Angel GomesM 80%8 of 10 Pro 🔒
Tiago SantosD 70%7 of 10 Pro 🔒
Gabriel GudmundssonD 70%7 of 10 Pro 🔒
Edon ZhegrovaM 60%6 of 10 Pro 🔒
Clermont Foot
Johan GastienM 80%8 of 10 Pro 🔒
Elbasan RashaniM 70%7 of 10 Pro 🔒
Grejohn KyeiF 70%7 of 10 Pro 🔒
Maxime GonalonsM 70%7 of 10 Pro 🔒
Florent OgierD 60%6 of 10 Pro 🔒
Chrislain MatsimaDform earned at AS Monaco 60%6 of 10 Pro 🔒

Lille
No Lille player in this window.
Clermont Foot

Lille
Alexsandro RibeiroD 100%10 of 10 Pro 🔒
Angel GomesM 100%10 of 10 Pro 🔒
Tiago SantosD 90%9 of 10 Pro 🔒
Benjamin AndréM 70%7 of 10 Pro 🔒
Rémy CabellaM 70%7 of 10 Pro 🔒
Jonathan DavidF 70%7 of 10 Pro 🔒
Yusuf YazıcıM 60%6 of 10 Pro 🔒
Gabriel GudmundssonD 60%6 of 10 Pro 🔒
Edon ZhegrovaM 60%6 of 10 Pro 🔒
Clermont Foot
Elbasan RashaniM 90%9 of 10 Pro 🔒
Shamar NicholsonF 80%8 of 10 Pro 🔒
Jim AllevinahF 80%8 of 10 Pro 🔒
Neto BorgesM 60%6 of 10 Pro 🔒

Lille
Tiago SantosD 80%8 of 10 Pro 🔒
Angel GomesM 70%7 of 10 Pro 🔒
Alexsandro RibeiroD 60%6 of 10 Pro 🔒
Clermont Foot

Lille
Alexsandro RibeiroD 90%9 of 10 Pro 🔒
Nabil BentalebM 90%9 of 10 Pro 🔒
Benjamin AndréM 90%9 of 10 Pro 🔒
Rémy CabellaM 90%9 of 10 Pro 🔒
IsmailyD 90%9 of 10 Pro 🔒
Tiago SantosD 70%7 of 10 Pro 🔒
Leny YoroD 70%7 of 10 Pro 🔒
Angel GomesM 60%6 of 10 Pro 🔒
Clermont Foot
Johan GastienM 90%9 of 10 Pro 🔒
Neto BorgesM 90%9 of 10 Pro 🔒
Andy PelmardD 80%8 of 10 Pro 🔒
Chrislain MatsimaDform earned at AS Monaco 80%8 of 10 Pro 🔒
Elbasan RashaniM 70%7 of 10 Pro 🔒
Florent OgierD 70%7 of 10 Pro 🔒
Maxime GonalonsM 70%7 of 10 Pro 🔒
Yohann MagninM 70%7 of 10 Pro 🔒

Lille
Benjamin AndréM 80%8 of 10 Pro 🔒
IsmailyD 80%8 of 10 Pro 🔒
Rémy CabellaM 60%6 of 10 Pro 🔒
Clermont Foot
Andy PelmardD 70%7 of 10 Pro 🔒
Maxime GonalonsM 60%6 of 10 Pro 🔒

Lille
IsmailyD 60%6 of 10 Pro 🔒
Clermont Foot
No Clermont Foot player in this window.

Lille
Jonathan DavidF 40%4 of 10 Stats only
Clermont Foot
Shamar NicholsonF 40%4 of 10 Stats only

Lille
Lucas ChevalierG 60%6 of 10 Stats only
Clermont Foot
Mory DiawG 100%10 of 10 Stats only

Lille
No Lille player in this window.
Clermont Foot
Mory DiawG 70%7 of 10 Stats only

🔒 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
Bastien Dechepy refereed this match 4.09cards a gameleague 3.87 68games
Bastien Dechepy'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.