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Stade de Reims v Stade Brestois

Your slip follows you between games.

How often each Stade de Reims and Stade Brestois 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 Stade Brestois: Keito Nakamura (Stade de Reims) leads the home side for 1+ shots on target — 7 of 10 (70%); Mahdi Camara (Stade Brestois) 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
Marshall MunetsiM 80%8 of 10 Pro 🔒
Keito NakamuraF 80%8 of 10 Pro 🔒
Emmanuel AgbadouD 60%6 of 10 Pro 🔒
Sergio AkiemeD 60%6 of 10 Pro 🔒
Stade Brestois
Mahdi CamaraM 90%9 of 10 Pro 🔒
Pierre Lees MelouM 80%8 of 10 Pro 🔒
Mama BaldéF 60%6 of 10 Pro 🔒
Hugo MagnettiM 60%6 of 10 Pro 🔒

Stade de Reims
Keito NakamuraF 70%7 of 10 Pro 🔒
Stade Brestois
No Stade Brestois player in this window.

Stade de Reims
Keito NakamuraF 70%7 of 10 Pro 🔒
Stade Brestois
Mahdi CamaraM 70%7 of 10 Pro 🔒

Stade de Reims
Oumar DiakitéF 90%9 of 10 Pro 🔒
Aurélio ButaD 80%8 of 10 Pro 🔒
Sergio AkiemeD 80%8 of 10 Pro 🔒
Marshall MunetsiM 80%8 of 10 Pro 🔒
Yaya FofanaM 60%6 of 10 Pro 🔒
Keito NakamuraF 60%6 of 10 Pro 🔒
Stade Brestois
Pierre Lees MelouM 90%9 of 10 Pro 🔒
Brendan ChardonnetD 70%7 of 10 Pro 🔒
Mahdi CamaraM 70%7 of 10 Pro 🔒
Kamory DoumbiaM 60%6 of 10 Pro 🔒
Jonas MartinM 60%6 of 10 Pro 🔒
Ibrahim SalahM 60%6 of 10 Pro 🔒
Jordan AmaviD 60%6 of 10 Pro 🔒
Ludovic AjorqueF 60%6 of 10 Pro 🔒
Hugo MagnettiM 60%6 of 10 Pro 🔒

Stade de Reims
Oumar DiakitéF 60%6 of 10 Pro 🔒
Stade Brestois
Pierre Lees MelouM 60%6 of 10 Pro 🔒

Stade de Reims
Marshall MunetsiM 90%9 of 10 Pro 🔒
Junya ItoF 80%8 of 10 Pro 🔒
Mamadou DiakhonF 70%7 of 10 Pro 🔒
Amadou KonéM 70%7 of 10 Pro 🔒
Aurélio ButaD 70%7 of 10 Pro 🔒
Joseph OkumuD 60%6 of 10 Pro 🔒
Stade Brestois
Pierre Lees MelouM 90%9 of 10 Pro 🔒
Mahdi CamaraM 90%9 of 10 Pro 🔒
Jonas MartinM 80%8 of 10 Pro 🔒
Brendan ChardonnetD 60%6 of 10 Pro 🔒
Ludovic AjorqueF 60%6 of 10 Pro 🔒
Hugo MagnettiM 60%6 of 10 Pro 🔒
Romain FaivreM 60%6 of 10 Pro 🔒

Stade de Reims
Marshall MunetsiM 60%6 of 10 Pro 🔒
Stade Brestois
Mahdi CamaraM 60%6 of 10 Pro 🔒

Stade de Reims
Junya ItoF 90%9 of 10 Pro 🔒
Emmanuel AgbadouD 80%8 of 10 Pro 🔒
Marshall MunetsiM 80%8 of 10 Pro 🔒
Joseph OkumuD 80%8 of 10 Pro 🔒
Oumar DiakitéF 70%7 of 10 Pro 🔒
Aurélio ButaD 70%7 of 10 Pro 🔒
Sergio AkiemeD 70%7 of 10 Pro 🔒
Yaya FofanaM 60%6 of 10 Pro 🔒
Mamadou DiakhonF 60%6 of 10 Pro 🔒
Stade Brestois
Pierre Lees MelouM 100%10 of 10 Pro 🔒
Kenny LalaD 90%9 of 10 Pro 🔒
Brendan ChardonnetD 90%9 of 10 Pro 🔒
Mahdi CamaraM 80%8 of 10 Pro 🔒
Kamory DoumbiaM 70%7 of 10 Pro 🔒
Jonas MartinM 60%6 of 10 Pro 🔒
Edimilson FernandesM 60%6 of 10 Pro 🔒
Jordan AmaviD 60%6 of 10 Pro 🔒
Hugo MagnettiM 60%6 of 10 Pro 🔒

Stade de Reims
Emmanuel AgbadouD 70%7 of 10 Pro 🔒
Marshall MunetsiM 60%6 of 10 Pro 🔒
Stade Brestois
Pierre Lees MelouM 80%8 of 10 Pro 🔒
Kenny LalaD 70%7 of 10 Pro 🔒
Brendan ChardonnetD 70%7 of 10 Pro 🔒
Kamory DoumbiaM 60%6 of 10 Pro 🔒
Mahdi CamaraM 60%6 of 10 Pro 🔒

Stade de Reims
Emmanuel AgbadouD 60%6 of 10 Pro 🔒
Stade Brestois
Pierre Lees MelouM 70%7 of 10 Pro 🔒
Mahdi CamaraM 60%6 of 10 Pro 🔒

Stade de Reims
Keito NakamuraF 50%5 of 10 Stats only
Marshall MunetsiM 30%3 of 10 Stats only
Stade Brestois
Mahdi CamaraM 30%3 of 10 Stats only

Stade de Reims
Yehvann DioufG 80%8 of 10 Stats only
Stade Brestois
No Stade Brestois player in this window.

Stade de Reims
Yehvann DioufG 60%6 of 10 Stats only
Stade Brestois
No Stade Brestois 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
Jérôme Brisard refereed this match 4.06cards a gameleague 3.87 77games
Jérôme Brisard'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.