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SharpXI©
Player stats 26/27

AS Monaco v Nice

Your slip follows you between games.

How often each AS Monaco and Nice 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 Nice on Sat 2 Jan: Folarin Balogun (AS Monaco) leads the home side for 1+ shots on target — 8 of 10 (80%); Elye Wahi (Nice) tops the visitors on 7 of 10 (70%). Raw hit rates from recent matches, not odds.

Predicted line-up — not the team sheet Our best guess at the shape, from recent selections. Team sheets usually land about an hour before kick-off.
What sits behind these numbers

Line-ups aren't confirmed, so the players shown are a likely XI from each club's recent selections — injuries and suspensions are filtered out where we know them. Hit rates are their recent form, not a forecast for this match. These players joined recently, and the games behind these rates were played elsewhere: Alidu Seidu (Stade Rennais), Laurent Abergel (Lorient) — read as prior form, not this club's.

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
Folarin BalogunF 90%9 of 10 Pro 🔒
Denis ZakariaM 80%8 of 10 Pro 🔒
Ansu FatiF 80%8 of 10 Pro 🔒
Paris BrunnerF 70%7 of 10 Pro 🔒
Takumi MinaminoM 70%7 of 10 Pro 🔒
Mamadou CoulibalyM 60%6 of 10 Pro 🔒
Matthis AblineF 60%6 of 10 Pro 🔒
Pape CabralM 60%3 of 5 Pro 🔒
Nice
Gauthier HeinF 80%8 of 10 Pro 🔒
Elye WahiF 80%8 of 10 Pro 🔒
Morgan SansonM 70%7 of 10 Pro 🔒
Jonathan ClaussD 60%6 of 10 Pro 🔒

AS Monaco
Takumi MinaminoM 60%6 of 10 Pro 🔒
Folarin BalogunF 60%6 of 10 Pro 🔒
Matthis AblineF 60%6 of 10 Pro 🔒
Nice
Elye WahiF 60%6 of 10 Pro 🔒

AS Monaco
Folarin BalogunF 80%8 of 10 Pro 🔒
Ansu FatiF 60%6 of 10 Pro 🔒
Nice
Elye WahiF 70%7 of 10 Pro 🔒

AS Monaco
Lamine CamaraM 90%9 of 10 Pro 🔒
Denis ZakariaM 90%9 of 10 Pro 🔒
Folarin BalogunF 90%9 of 10 Pro 🔒
Sadibou SanéD 80%8 of 10 Pro 🔒
NazinhoD 80%4 of 5 Pro 🔒
VandersonD 70%7 of 10 Pro 🔒
Mamadou CoulibalyM 70%7 of 10 Pro 🔒
Mohammed SalisuD 70%7 of 10 Pro 🔒
Paris BrunnerF 60%6 of 10 Pro 🔒
Eric DierD 60%6 of 10 Pro 🔒
Aleksandr GolovinM 60%6 of 10 Pro 🔒
Nice
Ali AbdiD 90%9 of 10 Pro 🔒
Moise BombitoD 80%8 of 10 Pro 🔒
Morgan SansonM 80%8 of 10 Pro 🔒
Everton PereiraM 80%4 of 5 Pro 🔒
Djibril CoulibalyM 67%6 of 9 Pro 🔒
Hamza KoutouneD 67%2 of 3 Pro 🔒
Alidu SeiduDform earned at Stade Rennais 60%6 of 10 Pro 🔒
Mohamed AmouraF 60%6 of 10 Pro 🔒
Antoine MendyD 60%6 of 10 Pro 🔒
Hicham BoudaouiM 60%6 of 10 Pro 🔒

AS Monaco
Lamine CamaraM 100%10 of 10 Pro 🔒
Takumi MinaminoM 60%6 of 10 Pro 🔒
Folarin BalogunF 60%6 of 10 Pro 🔒
NazinhoD 60%3 of 5 Pro 🔒
Nice
Alidu SeiduDform earned at Stade Rennais 100%10 of 10 Pro 🔒
Hicham BoudaouiM 80%8 of 10 Pro 🔒
Morgan SansonM 70%7 of 10 Pro 🔒
Laurent AbergelMform earned at Lorient 70%7 of 10 Pro 🔒
Axel WitselM 70%7 of 10 Pro 🔒
Elye WahiF 70%7 of 10 Pro 🔒
Moise BombitoD 60%6 of 10 Pro 🔒
Sofiane DiopM 60%6 of 10 Pro 🔒
Xavier MandzaD 60%3 of 5 Pro 🔒

AS Monaco
No AS Monaco player in this window.
Nice
Hicham BoudaouiM 60%6 of 10 Pro 🔒

AS Monaco
Lamine CamaraM 100%10 of 10 Pro 🔒
Sadibou SanéD 100%10 of 10 Pro 🔒
Mohammed SalisuD 90%9 of 10 Pro 🔒
Christian MawissaD 80%8 of 10 Pro 🔒
NazinhoD 80%4 of 5 Pro 🔒
VandersonD 70%7 of 10 Pro 🔒
Edan DiopM 70%7 of 10 Pro 🔒
Mamadou CoulibalyM 70%7 of 10 Pro 🔒
Denis ZakariaM 70%7 of 10 Pro 🔒
Eric DierD 60%6 of 10 Pro 🔒
Jordan TezeD 60%6 of 10 Pro 🔒
Pape CabralM 60%3 of 5 Pro 🔒
Nice
Niels NkounkouD 100%10 of 10 Pro 🔒
Xavier MandzaD 100%5 of 5 Pro 🔒
Alidu SeiduDform earned at Stade Rennais 90%9 of 10 Pro 🔒
Antoine MendyD 90%9 of 10 Pro 🔒
Moise BombitoD 90%9 of 10 Pro 🔒
Jonathan ClaussD 70%7 of 10 Pro 🔒
Ali AbdiD 70%7 of 10 Pro 🔒
Mohamed AbdelmonemD 70%7 of 10 Pro 🔒
Hicham BoudaouiM 70%7 of 10 Pro 🔒
Mohamed AmouraF 60%6 of 10 Pro 🔒
Morgan SansonM 60%6 of 10 Pro 🔒
Axel WitselM 60%6 of 10 Pro 🔒

AS Monaco
Lamine CamaraM 80%8 of 10 Pro 🔒
NazinhoD 80%4 of 5 Pro 🔒
VandersonD 70%7 of 10 Pro 🔒
Eric DierD 60%6 of 10 Pro 🔒
Denis ZakariaM 60%6 of 10 Pro 🔒
Mohammed SalisuD 60%6 of 10 Pro 🔒
Nice
Antoine MendyD 60%6 of 10 Pro 🔒
Xavier MandzaD 60%3 of 5 Pro 🔒

AS Monaco
VandersonD 60%6 of 10 Pro 🔒
Lamine CamaraM 60%6 of 10 Pro 🔒
Nice
No Nice player in this window.

AS Monaco
Folarin BalogunF 60%6 of 10 Stats only
Paris BrunnerF 30%3 of 10 Stats only
Ansu FatiF 30%3 of 10 Stats only
Nice
Elye WahiF 30%3 of 10 Stats only

AS Monaco
Jordan TezeD 30%3 of 10 Stats only
Nice
Gauthier HeinF 30%3 of 10 Stats only

AS Monaco
Philipp KöhnG 60%6 of 10 Stats only
Nice
No Nice 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

Not appointed yet — referees are usually confirmed two to three days before kick-off. See the referee panel

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.