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SharpXI©
Player stats 26/27

Monza v Sassuolo

Your slip follows you between games.

How often each Monza and Sassuolo 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 Monza v Sassuolo: Gustavo Varela (Monza) leads the home side for 1+ shots on target — 3 of 3 (100%); Domenico Berardi (Sassuolo) 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.

Monza
Dany MotaF 100%10 of 10 Pro 🔒
Gustavo VarelaF 100%3 of 3 Pro 🔒
Samuele BirindelliD 90%9 of 10 Pro 🔒
Michael FolorunshoM 90%9 of 10 Pro 🔒
Patrick CutroneF 70%7 of 10 Pro 🔒
Sassuolo
Sebastiano EspositoF 100%10 of 10 Pro 🔒
Armand LaurientéF 90%9 of 10 Pro 🔒
Kieron BowieF 90%9 of 10 Pro 🔒
Domenico BerardiF 80%8 of 10 Pro 🔒
Kristian ThorstvedtM 80%8 of 10 Pro 🔒

Monza
Gustavo VarelaF 100%3 of 3 Pro 🔒
Sassuolo
Sebastiano EspositoF 80%8 of 10 Pro 🔒
Kieron BowieF 80%8 of 10 Pro 🔒
Domenico BerardiF 60%6 of 10 Pro 🔒
Armand LaurientéF 60%6 of 10 Pro 🔒

Monza
Gustavo VarelaF 67%2 of 3 Pro 🔒
Sassuolo
Armand LaurientéF 60%6 of 10 Pro 🔒
Kieron BowieF 60%6 of 10 Pro 🔒

Monza
Gustavo VarelaF 100%3 of 3 Pro 🔒
Sassuolo
Domenico BerardiF 70%7 of 10 Pro 🔒
Sebastiano EspositoF 70%7 of 10 Pro 🔒
Kieron BowieF 70%7 of 10 Pro 🔒
Armand LaurientéF 60%6 of 10 Pro 🔒

Monza
Lorenzo LucchesiD 100%4 of 4 Pro 🔒
Gustavo VarelaF 100%3 of 3 Pro 🔒
Dany MotaF 80%8 of 10 Pro 🔒
Andrea CarboniD 60%6 of 10 Pro 🔒
Sassuolo
Kieron BowieF 90%9 of 10 Pro 🔒
Sebastiano EspositoF 80%8 of 10 Pro 🔒
Armand LaurientéF 70%7 of 10 Pro 🔒
Kristian ThorstvedtM 60%6 of 10 Pro 🔒

Monza
No Monza player in this window.
Sassuolo
Kieron BowieF 70%7 of 10 Pro 🔒

Monza
Ricardo MangasD 100%4 of 4 Pro 🔒
Dany MotaF 90%9 of 10 Pro 🔒
Michael FolorunshoM 90%9 of 10 Pro 🔒
Patrick CutroneF 70%7 of 10 Pro 🔒
Jay RobinsonF 60%6 of 10 Pro 🔒
Sassuolo
Kristian ThorstvedtM 90%9 of 10 Pro 🔒
Sebastiano EspositoF 90%9 of 10 Pro 🔒
Kieron BowieF 80%8 of 10 Pro 🔒
Domenico BerardiF 70%7 of 10 Pro 🔒
Armand LaurientéF 70%7 of 10 Pro 🔒

Monza
No Monza player in this window.
Sassuolo
Sebastiano EspositoF 70%7 of 10 Pro 🔒
Kristian ThorstvedtM 60%6 of 10 Pro 🔒
Kieron BowieF 60%6 of 10 Pro 🔒

Monza
Jay RobinsonF 80%8 of 10 Pro 🔒
Samuele BirindelliD 80%8 of 10 Pro 🔒
Mathis MoutM 75%3 of 4 Pro 🔒
Lorenzo LucchesiD 75%3 of 4 Pro 🔒
Eddy KouadioD 71%5 of 7 Pro 🔒
Andrea CarboniD 70%7 of 10 Pro 🔒
Sassuolo
Armand LaurientéF 80%8 of 10 Pro 🔒
Sebastiano EspositoF 80%8 of 10 Pro 🔒
Darryl BakolaM 70%7 of 10 Pro 🔒
Kristian ThorstvedtM 70%7 of 10 Pro 🔒

Monza
Andrea CarboniD 70%7 of 10 Pro 🔒
Sassuolo
No Sassuolo player in this window.

Monza
Gustavo VarelaF 67%2 of 3 Stats only
Sassuolo
Sebastiano EspositoF 40%4 of 10 Stats only
Kieron BowieF 40%4 of 10 Stats only

Monza
Ricardo MangasD 50%2 of 4 Stats only
Sassuolo
Armand LaurientéF 30%3 of 10 Stats only

Monza
No Monza player in this window.
Sassuolo
Arijanet MurićG 70%7 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
Daniele Perenzoni refereed this match

8 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.