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

Bologna v AS Monaco

How often each Bologna 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 Bologna v AS Monaco: Santiago Castro (Bologna) leads the home side for 1+ shots on target — 7 of 10 (70%); Breel Embolo (AS Monaco) 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 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.

Bologna
Riccardo OrsoliniF 100%10 of 10 Pro 🔒
Dan NdoyeM 90%9 of 10 Pro 🔒
Santiago CastroF 80%8 of 10 Pro 🔒
Juan MirandaD 70%7 of 10 Pro 🔒
Giovanni FabbianM 70%7 of 10 Pro 🔒
Lewis FergusonM 70%7 of 10 Pro 🔒
Jens OdgaardF 70%7 of 10 Pro 🔒
Nikola MoroM 60%6 of 10 Pro 🔒
Thijs DallingaF 60%6 of 10 Pro 🔒
AS Monaco
Eliesse Ben SeghirM 100%10 of 10 Pro 🔒
Breel EmboloF 90%9 of 10 Pro 🔒
Maghnes AklioucheM 80%8 of 10 Pro 🔒
Aleksandr GolovinM 80%8 of 10 Pro 🔒
VandersonD 60%6 of 10 Pro 🔒
Lamine CamaraM 60%6 of 10 Pro 🔒
Takumi MinaminoM 60%6 of 10 Pro 🔒

Bologna
Santiago CastroF 70%7 of 10 Pro 🔒
Dan NdoyeM 60%6 of 10 Pro 🔒
Riccardo OrsoliniF 60%6 of 10 Pro 🔒
Lewis FergusonM 60%6 of 10 Pro 🔒
AS Monaco
Breel EmboloF 70%7 of 10 Pro 🔒
Eliesse Ben SeghirM 70%7 of 10 Pro 🔒
Aleksandr GolovinM 60%6 of 10 Pro 🔒

Bologna
Santiago CastroF 60%6 of 10 Pro 🔒
AS Monaco
No AS Monaco player in this window.

Bologna
Santiago CastroF 70%7 of 10 Pro 🔒
Dan NdoyeM 60%6 of 10 Pro 🔒
AS Monaco
Breel EmboloF 60%6 of 10 Pro 🔒

Bologna
Santiago CastroF 80%8 of 10 Pro 🔒
Remo FreulerM 70%7 of 10 Pro 🔒
Sam BeukemaD 70%7 of 10 Pro 🔒
Tommaso PobegaM 70%7 of 10 Pro 🔒
Riccardo OrsoliniF 70%7 of 10 Pro 🔒
Lewis FergusonM 70%7 of 10 Pro 🔒
Jhon LucumíD 60%6 of 10 Pro 🔒
Stefan PoschD 60%6 of 10 Pro 🔒
Samuel Iling JuniorM 60%6 of 10 Pro 🔒
Thijs DallingaF 60%6 of 10 Pro 🔒
Jens OdgaardF 60%6 of 10 Pro 🔒
AS Monaco
VandersonD 100%10 of 10 Pro 🔒
Lamine CamaraM 80%8 of 10 Pro 🔒
Eliesse Ben SeghirM 80%8 of 10 Pro 🔒
Wilfried SingoD 70%7 of 10 Pro 🔒
Thilo KehrerD 70%7 of 10 Pro 🔒
Eliot MatazoM 70%7 of 10 Pro 🔒
Aleksandr GolovinM 60%6 of 10 Pro 🔒

Bologna
Riccardo OrsoliniF 60%6 of 10 Pro 🔒
AS Monaco
VandersonD 60%6 of 10 Pro 🔒

Bologna
Sam BeukemaD 90%9 of 10 Pro 🔒
Dan NdoyeM 80%8 of 10 Pro 🔒
Riccardo OrsoliniF 80%8 of 10 Pro 🔒
Lewis FergusonM 80%8 of 10 Pro 🔒
Stefan PoschD 70%7 of 10 Pro 🔒
Juan MirandaD 70%7 of 10 Pro 🔒
Tommaso PobegaM 60%6 of 10 Pro 🔒
Jens OdgaardF 60%6 of 10 Pro 🔒
AS Monaco
Breel EmboloF 100%10 of 10 Pro 🔒
Eliesse Ben SeghirM 90%9 of 10 Pro 🔒
Aleksandr GolovinM 80%8 of 10 Pro 🔒
Thilo KehrerD 70%7 of 10 Pro 🔒
Lamine CamaraM 70%7 of 10 Pro 🔒
Maghnes AklioucheM 60%6 of 10 Pro 🔒
VandersonD 60%6 of 10 Pro 🔒
Takumi MinaminoM 60%6 of 10 Pro 🔒

Bologna
Dan NdoyeM 70%7 of 10 Pro 🔒
Lewis FergusonM 60%6 of 10 Pro 🔒
AS Monaco
Eliesse Ben SeghirM 80%8 of 10 Pro 🔒
Breel EmboloF 60%6 of 10 Pro 🔒

Bologna
Dan NdoyeM 60%6 of 10 Pro 🔒
AS Monaco
Eliesse Ben SeghirM 60%6 of 10 Pro 🔒

Bologna
Riccardo OrsoliniF 40%4 of 10 Stats only
Santiago CastroF 30%3 of 10 Stats only
AS Monaco
Thilo KehrerD 30%3 of 10 Stats only
Lamine CamaraM 30%3 of 10 Stats only

Bologna
No Bologna player in this window.
AS Monaco
Maghnes AklioucheM 30%3 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
Aliyar Aghayev refereed this match

6 matches on record — too few to quote a card rate against. See the 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.