Updated daily through the season. Spot something off? Tell usUpdated daily. Tell us
SharpXI©
Player stats 24/25

Stade de Reims v Nantes

Your slip follows you between games.

How often each Stade de Reims and Nantes 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 Stade de Reims v Nantes: Keito Nakamura (Stade de Reims) leads the home side for 1+ shots on target — 7 of 10 (70%); Moses Simon (Nantes) tops the visitors on 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.

Stade de Reims
Keito NakamuraM 100%10 of 10 Pro 🔒
Junya ItoM 80%8 of 10 Pro 🔒
Marshall MunetsiM 70%7 of 10 Pro 🔒
Nantes
Matthis AblineF 80%8 of 10 Pro 🔒
Moses SimonF 70%7 of 10 Pro 🔒
Mostafa MohamedF 70%7 of 10 Pro 🔒
Johann LepenantM 70%7 of 10 Pro 🔒

Stade de Reims
Keito NakamuraM 60%6 of 10 Pro 🔒
Nantes
Matthis AblineF 70%7 of 10 Pro 🔒
Moses SimonF 60%6 of 10 Pro 🔒

Stade de Reims
Keito NakamuraM 60%6 of 10 Pro 🔒
Nantes
Matthis AblineF 60%6 of 10 Pro 🔒

Stade de Reims
Keito NakamuraM 70%7 of 10 Pro 🔒
Nantes
Moses SimonF 70%7 of 10 Pro 🔒
Matthis AblineF 70%7 of 10 Pro 🔒

Stade de Reims
Marshall MunetsiM 90%9 of 10 Pro 🔒
Cédric KipréD 80%8 of 10 Pro 🔒
Aurélio ButaD 70%7 of 10 Pro 🔒
Sergio AkiemeD 70%7 of 10 Pro 🔒
Keito NakamuraM 60%6 of 10 Pro 🔒
Nantes
Johann LepenantM 100%10 of 10 Pro 🔒
Marcus CocoD 80%8 of 10 Pro 🔒
Nicolas PalloisD 60%6 of 10 Pro 🔒
Nicolas CozzaD 60%6 of 10 Pro 🔒
Matthis AblineF 60%6 of 10 Pro 🔒

Stade de Reims
Marshall MunetsiM 60%6 of 10 Pro 🔒
Nantes
Johann LepenantM 60%6 of 10 Pro 🔒

Stade de Reims
Junya ItoM 70%7 of 10 Pro 🔒
Sergio AkiemeD 70%7 of 10 Pro 🔒
Marshall MunetsiM 70%7 of 10 Pro 🔒
Aurélio ButaD 60%6 of 10 Pro 🔒
John PatrickM 60%3 of 5 Pro 🔒
Nantes
Moses SimonF 100%10 of 10 Pro 🔒
Marcus CocoD 70%7 of 10 Pro 🔒
Matthis AblineF 70%7 of 10 Pro 🔒

Stade de Reims
Valentin Atangana EdoaM 100%10 of 10 Pro 🔒
Aurélio ButaD 100%10 of 10 Pro 🔒
Sergio AkiemeD 80%8 of 10 Pro 🔒
Cédric KipréD 80%8 of 10 Pro 🔒
Marshall MunetsiM 80%8 of 10 Pro 🔒
Junya ItoM 70%7 of 10 Pro 🔒
Joseph OkumuD 70%7 of 10 Pro 🔒
Nantes
Pedro ChirivellaM 100%10 of 10 Pro 🔒
Nicolas CozzaD 100%10 of 10 Pro 🔒
Johann LepenantM 90%9 of 10 Pro 🔒
Louis LerouxM 75%3 of 4 Pro 🔒
Nicolas PalloisD 70%7 of 10 Pro 🔒
Marcus CocoD 70%7 of 10 Pro 🔒
Kelvin AmianD 70%7 of 10 Pro 🔒

Stade de Reims
Joseph OkumuD 60%6 of 10 Pro 🔒
Nantes
Johann LepenantM 90%9 of 10 Pro 🔒
Nicolas PalloisD 70%7 of 10 Pro 🔒

Stade de Reims
No Stade de Reims player in this window.
Nantes
Johann LepenantM 80%8 of 10 Pro 🔒

Stade de Reims
Keito NakamuraM 30%3 of 10 Stats only
Nantes
Moses SimonF 30%3 of 10 Stats only
Matthis AblineF 30%3 of 10 Stats only

Stade de Reims
No Stade de Reims player in this window.
Nantes
Moses SimonF 40%4 of 10 Stats only

Stade de Reims
Yehvann DioufG 70%7 of 10 Stats only
Nantes
Anthony LopesG 70%7 of 10 Stats only

Stade de Reims
Yehvann DioufG 60%6 of 10 Stats only
Nantes
No Nantes 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
Benoît Millot refereed this match 3.94cards a gameleague 3.87 47games
Benoît Millot'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.