Updated daily through the season. Spot something off? Tell us →Updated daily. Tell us →
SharpXI© Open the screener
Player stats · 24/25

Inter v AS Monaco

How often each Inter and AS Monaco 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 Inter v AS Monaco: Lautaro Martínez (Inter) leads the home side for 1+ shots on target — 8 of 10 (80%); Eliesse Ben Seghir (AS Monaco) 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 25/26 figures from completed matches: Last N is their last N games; Season is their whole 25/26; H2H is only games against this opponent.

Inter
Federico DimarcoM 90%9 of 10 Pro 🔒
Lautaro MartínezF 90%9 of 10 Pro 🔒
Marcus ThuramF 80%8 of 10 Pro 🔒
Denzel DumfriesM 70%7 of 10 Pro 🔒
Nicolò BarellaM 70%7 of 10 Pro 🔒
Henrikh MkhitaryanM 60%6 of 10 Pro 🔒
Carlos AugustoD 60%6 of 10 Pro 🔒
AS Monaco
Aleksandr GolovinM 100%10 of 10 Pro 🔒
Takumi MinaminoM 100%10 of 10 Pro 🔒
Maghnes AklioucheM 90%9 of 10 Pro 🔒
Eliesse Ben SeghirM 90%9 of 10 Pro 🔒
Denis ZakariaM 80%8 of 10 Pro 🔒
Breel EmboloF 70%7 of 10 Pro 🔒
Lamine CamaraM 70%7 of 10 Pro 🔒

Inter
Lautaro MartínezF 80%8 of 10 Pro 🔒
Federico DimarcoM 60%6 of 10 Pro 🔒
Denzel DumfriesM 60%6 of 10 Pro 🔒
AS Monaco
Takumi MinaminoM 80%8 of 10 Pro 🔒
Breel EmboloF 60%6 of 10 Pro 🔒
Aleksandr GolovinM 60%6 of 10 Pro 🔒
Eliesse Ben SeghirM 60%6 of 10 Pro 🔒

Inter
Lautaro MartínezF 70%7 of 10 Pro 🔒
AS Monaco
No AS Monaco player in this window.

Inter
Lautaro MartínezF 80%8 of 10 Pro 🔒
Federico DimarcoM 70%7 of 10 Pro 🔒
Denzel DumfriesM 60%6 of 10 Pro 🔒
Marcus ThuramF 60%6 of 10 Pro 🔒
AS Monaco
Eliesse Ben SeghirM 70%7 of 10 Pro 🔒
Breel EmboloF 60%6 of 10 Pro 🔒
Aleksandr GolovinM 60%6 of 10 Pro 🔒

Inter
Denzel DumfriesM 100%10 of 10 Pro 🔒
Henrikh MkhitaryanM 70%7 of 10 Pro 🔒
Lautaro MartínezF 70%7 of 10 Pro 🔒
Alessandro BastoniD 70%7 of 10 Pro 🔒
Benjamin PavardD 60%6 of 10 Pro 🔒
Marcus ThuramF 60%6 of 10 Pro 🔒
Nicolò BarellaM 60%6 of 10 Pro 🔒
Matteo DarmianD 60%6 of 10 Pro 🔒
AS Monaco
VandersonD 90%9 of 10 Pro 🔒
Aleksandr GolovinM 80%8 of 10 Pro 🔒
Lamine CamaraM 80%8 of 10 Pro 🔒
Soungoutou MagassaM 80%8 of 10 Pro 🔒
Lucas MichalF 75%3 of 4 Pro 🔒
Eliesse Ben SeghirM 60%6 of 10 Pro 🔒

Inter
No Inter player in this window.
AS Monaco
Soungoutou MagassaM 60%6 of 10 Pro 🔒

Inter
Lautaro MartínezF 90%9 of 10 Pro 🔒
Alessandro BastoniD 80%8 of 10 Pro 🔒
Henrikh MkhitaryanM 70%7 of 10 Pro 🔒
AS Monaco
Eliesse Ben SeghirM 80%8 of 10 Pro 🔒
Maghnes AklioucheM 70%7 of 10 Pro 🔒
Breel EmboloF 60%6 of 10 Pro 🔒
Denis ZakariaM 60%6 of 10 Pro 🔒
Aleksandr GolovinM 60%6 of 10 Pro 🔒
Takumi MinaminoM 60%6 of 10 Pro 🔒
Lamine CamaraM 60%6 of 10 Pro 🔒
Thilo KehrerD 60%6 of 10 Pro 🔒
Christian MawissaD 60%6 of 10 Pro 🔒

Inter
Lautaro MartínezF 50%5 of 10 Stats only
Marcus ThuramF 50%5 of 10 Stats only
Denzel DumfriesM 40%4 of 10 Stats only
AS Monaco
Breel EmboloF 40%4 of 10 Stats only
Aleksandr GolovinM 30%3 of 10 Stats only

Inter
Federico DimarcoM 30%3 of 10 Stats only
Alessandro BastoniD 30%3 of 10 Stats only
AS Monaco
Lamine CamaraM 40%4 of 10 Stats only
Maghnes AklioucheM 40%4 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
Irfan Peljto refereed this match 3.67cards a game· league 3.96 15games
Irfan Peljto'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.