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Player stats 24/25

Nice v Stade de Reims

Your slip follows you between games.

How often each Nice and Stade de Reims 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 Nice v Stade de Reims: Keito Nakamura (Stade de Reims) tops the visitors for 1+ shots on target — 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.

Nice
Gaëtan LabordeF 100%10 of 10 Pro 🔒
Mohamed Ali ChoF 80%8 of 10 Pro 🔒
Morgan SansonM 80%8 of 10 Pro 🔒
Baptiste SantamariaM 80%8 of 10 Pro 🔒
Jonathan ClaussM 80%8 of 10 Pro 🔒
Terem MoffiF 80%8 of 10 Pro 🔒
Melvin BardD 80%8 of 10 Pro 🔒
Hicham BoudaouiM 60%6 of 10 Pro 🔒
Stade de Reims
Keito NakamuraM 100%10 of 10 Pro 🔒
Jordan SiebatcheuF 90%9 of 10 Pro 🔒
Sergio AkiemeD 70%7 of 10 Pro 🔒
Oumar DiakitéF 60%6 of 10 Pro 🔒
Mamadou DiakhonF 60%6 of 10 Pro 🔒

Nice
Gaëtan LabordeF 80%8 of 10 Pro 🔒
Mohamed Ali ChoF 60%6 of 10 Pro 🔒
Stade de Reims
Keito NakamuraM 90%9 of 10 Pro 🔒

Nice
Gaëtan LabordeF 60%6 of 10 Pro 🔒
Stade de Reims
Keito NakamuraM 70%7 of 10 Pro 🔒

Nice
No Nice player in this window.
Stade de Reims
Keito NakamuraM 80%8 of 10 Pro 🔒

Nice
Gaëtan LabordeF 90%9 of 10 Pro 🔒
Moise BombitoD 80%8 of 10 Pro 🔒
DanteD 60%6 of 10 Pro 🔒
Jonathan ClaussM 60%6 of 10 Pro 🔒
Terem MoffiF 60%6 of 10 Pro 🔒
Ali AbdiM 60%6 of 10 Pro 🔒
Stade de Reims
John PatrickM 70%7 of 10 Pro 🔒
Amadou KonéM 70%7 of 10 Pro 🔒
Cédric KipréD 70%7 of 10 Pro 🔒
Mory GbaneD 60%6 of 10 Pro 🔒
Aurélio ButaD 60%6 of 10 Pro 🔒
Joseph OkumuD 60%6 of 10 Pro 🔒

Nice
No Nice player in this window.
Stade de Reims

Nice
Mohamed Ali ChoF 90%9 of 10 Pro 🔒
Hicham BoudaouiM 90%9 of 10 Pro 🔒
Baptiste SantamariaM 80%8 of 10 Pro 🔒
Melvin BardD 60%6 of 10 Pro 🔒
Stade de Reims
Amadou KonéM 100%10 of 10 Pro 🔒
John PatrickM 70%7 of 10 Pro 🔒
Mamadou DiakhonF 70%7 of 10 Pro 🔒

Nice
Hicham BoudaouiM 60%6 of 10 Pro 🔒
Stade de Reims
Amadou KonéM 90%9 of 10 Pro 🔒

Nice
Moise BombitoD 90%9 of 10 Pro 🔒
Hicham BoudaouiM 90%9 of 10 Pro 🔒
Melvin BardD 80%8 of 10 Pro 🔒
Baptiste SantamariaM 70%7 of 10 Pro 🔒
DanteD 70%7 of 10 Pro 🔒
Jonathan ClaussM 70%7 of 10 Pro 🔒
Pablo RosarioM 60%6 of 10 Pro 🔒
Stade de Reims
Amadou KonéM 100%10 of 10 Pro 🔒
Mory GbaneD 80%8 of 10 Pro 🔒
John PatrickM 70%7 of 10 Pro 🔒
Sergio AkiemeD 70%7 of 10 Pro 🔒
Cédric KipréD 60%6 of 10 Pro 🔒

Nice
Hicham BoudaouiM 80%8 of 10 Pro 🔒
Melvin BardD 60%6 of 10 Pro 🔒
Stade de Reims
Amadou KonéM 60%6 of 10 Pro 🔒

Nice
Hicham BoudaouiM 60%6 of 10 Pro 🔒
Stade de Reims
No Stade de Reims player in this window.

Nice
Morgan SansonM 30%3 of 10 Stats only
Stade de Reims
No Stade de Reims player in this window.

Nice
Jonathan ClaussM 30%3 of 10 Stats only
Stade de Reims
No Stade de Reims player in this window.

Nice
No Nice player in this window.
Stade de Reims
Yehvann DioufG 70%7 of 10 Stats only

Nice
No Nice player in this window.
Stade de Reims
Yehvann DioufG 60%6 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
Abdelatif Kherradji refereed this match 3.86cards a gameleague 3.87 29games
Abdelatif Kherradji'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.