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AS Monaco v Stade de Reims

Your slip follows you between games.

How often each AS Monaco 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 AS Monaco v Stade de Reims: Takumi Minamino (AS Monaco) leads the home side for 1+ shots on target — 7 of 10 (70%); Keito Nakamura (Stade de Reims) 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.

AS Monaco
Maghnes AklioucheM 90%9 of 10 Pro 🔒
Takumi MinaminoM 90%9 of 10 Pro 🔒
Mika BierethF 83%5 of 6 Pro 🔒
Denis ZakariaM 80%8 of 10 Pro 🔒
Lamine CamaraM 70%7 of 10 Pro 🔒
Eliesse Ben SeghirM 70%7 of 10 Pro 🔒
Breel EmboloM 60%6 of 10 Pro 🔒
Stade de Reims
Keito NakamuraF 100%10 of 10 Pro 🔒
Teddy TeumaM 70%7 of 10 Pro 🔒
Mory GbaneD 67%2 of 3 Pro 🔒
Oumar DiakitéF 60%6 of 10 Pro 🔒
Junya ItoF 60%6 of 10 Pro 🔒

AS Monaco
Takumi MinaminoM 80%8 of 10 Pro 🔒
Eliesse Ben SeghirM 70%7 of 10 Pro 🔒
Mika BierethF 67%4 of 6 Pro 🔒
Stade de Reims
Keito NakamuraF 70%7 of 10 Pro 🔒

AS Monaco
Mika BierethF 67%4 of 6 Pro 🔒
Stade de Reims
No Stade de Reims player in this window.

AS Monaco
Takumi MinaminoM 70%7 of 10 Pro 🔒
Mika BierethF 67%4 of 6 Pro 🔒
Stade de Reims
Keito NakamuraF 60%6 of 10 Pro 🔒

AS Monaco
Mika BierethF 67%4 of 6 Pro 🔒
Stade de Reims
No Stade de Reims player in this window.

AS Monaco
Lamine CamaraM 100%10 of 10 Pro 🔒
Mika BierethF 83%5 of 6 Pro 🔒
VandersonD 80%8 of 10 Pro 🔒
Maghnes AklioucheM 70%7 of 10 Pro 🔒
Takumi MinaminoM 70%7 of 10 Pro 🔒
Denis ZakariaM 70%7 of 10 Pro 🔒
George IlenikhenaF 60%6 of 10 Pro 🔒
Stade de Reims
Oumar DiakitéF 70%7 of 10 Pro 🔒
Keito NakamuraF 60%6 of 10 Pro 🔒
Joseph OkumuD 60%6 of 10 Pro 🔒

AS Monaco
Mika BierethF 100%6 of 6 Pro 🔒
Eliesse Ben SeghirM 80%8 of 10 Pro 🔒
Lamine CamaraM 70%7 of 10 Pro 🔒
Breel EmboloM 70%7 of 10 Pro 🔒
Denis ZakariaM 70%7 of 10 Pro 🔒
Maghnes AklioucheM 60%6 of 10 Pro 🔒
Stade de Reims
Junya ItoF 80%8 of 10 Pro 🔒
John PatrickM 62%5 of 8 Pro 🔒
Oumar DiakitéF 60%6 of 10 Pro 🔒
Mamadou DiakhonF 60%6 of 10 Pro 🔒

AS Monaco
Mika BierethF 67%4 of 6 Pro 🔒
Stade de Reims
No Stade de Reims player in this window.

AS Monaco
Denis ZakariaM 90%9 of 10 Pro 🔒
VandersonD 80%8 of 10 Pro 🔒
Maghnes AklioucheM 80%8 of 10 Pro 🔒
Lamine CamaraM 80%8 of 10 Pro 🔒
Christian MawissaD 80%8 of 10 Pro 🔒
Caio HenriqueD 80%8 of 10 Pro 🔒
Krépin DiattaM 70%7 of 10 Pro 🔒
Thilo KehrerD 60%6 of 10 Pro 🔒
Stade de Reims
Sergio AkiemeD 80%8 of 10 Pro 🔒
Junya ItoF 70%7 of 10 Pro 🔒
Joseph OkumuD 70%7 of 10 Pro 🔒
Oumar DiakitéF 60%6 of 10 Pro 🔒

AS Monaco
Christian MawissaD 70%7 of 10 Pro 🔒
VandersonD 60%6 of 10 Pro 🔒
Stade de Reims

AS Monaco
VandersonD 60%6 of 10 Pro 🔒
Christian MawissaD 60%6 of 10 Pro 🔒
Stade de Reims
No Stade de Reims player in this window.

AS Monaco
Mika BierethF 50%3 of 6 Stats only
Breel EmboloM 30%3 of 10 Stats only
Stade de Reims
No Stade de Reims player in this window.

AS Monaco
Lamine CamaraM 50%5 of 10 Stats only
Moatasem Al-MusratiM 33%1 of 3 Stats only
Stade de Reims
No Stade de Reims player in this window.

AS Monaco
No AS Monaco 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-12% cards vs the league average
Eric Wattellier refereed this match 3.40cards a gameleague 3.87 80games
Eric Wattellier'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.