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Player stats 26/27

Sassuolo v Monza

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How often each Sassuolo and Monza 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 Sassuolo v Monza on Sat 16 Jan: Domenico Berardi (Sassuolo) leads the home side for 1+ shots on target — 8 of 10 (80%); Gustavo Varela (Monza) tops the visitors on 4 of 5 (80%). 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. Cyril Ngonge joined recently, and every game behind that rate was played for Espanyol — 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.

Sassuolo
Domenico BerardiF 90%9 of 10 Pro 🔒
Armand LaurientéF 90%9 of 10 Pro 🔒
Sebastiano EspositoF 90%9 of 10 Pro 🔒
Vasilije AdžićM 70%7 of 10 Pro 🔒
Cristian VolpatoF 70%7 of 10 Pro 🔒
Cas OdenthalD 67%2 of 3 Pro 🔒
Darryl BakolaM 60%6 of 10 Pro 🔒
Monza
Gustavo VarelaF 100%5 of 5 Pro 🔒
Dany MotaF 90%9 of 10 Pro 🔒
Samuele BirindelliD 90%9 of 10 Pro 🔒
Keita BaldéF 80%8 of 10 Pro 🔒
Patrick CutroneF 80%8 of 10 Pro 🔒
Michael FolorunshoM 80%8 of 10 Pro 🔒
Cyril NgongeMform earned at Espanyol 80%8 of 10 Pro 🔒
Yvan MayeD 67%2 of 3 Pro 🔒
Mathis MoutM 60%3 of 5 Pro 🔒

Sassuolo
Sebastiano EspositoF 70%7 of 10 Pro 🔒
Domenico BerardiF 60%6 of 10 Pro 🔒
Armand LaurientéF 60%6 of 10 Pro 🔒
Monza
Gustavo VarelaF 80%4 of 5 Pro 🔒
Dany MotaF 60%6 of 10 Pro 🔒

Sassuolo
Armand LaurientéF 60%6 of 10 Pro 🔒
Monza
Gustavo VarelaF 60%3 of 5 Pro 🔒

Sassuolo
Domenico BerardiF 80%8 of 10 Pro 🔒
Sebastiano EspositoF 70%7 of 10 Pro 🔒
Cas OdenthalD 67%2 of 3 Pro 🔒
Armand LaurientéF 60%6 of 10 Pro 🔒
Monza
Gustavo VarelaF 80%4 of 5 Pro 🔒

Sassuolo
Sebastiano EspositoF 80%8 of 10 Pro 🔒
Cristian VolpatoF 70%7 of 10 Pro 🔒
Armand LaurientéF 70%7 of 10 Pro 🔒
Jay IdzesD 70%7 of 10 Pro 🔒
Cas OdenthalD 67%2 of 3 Pro 🔒
Duje Ćaleta-CarD 60%6 of 10 Pro 🔒
Daniel BolocaM 60%6 of 10 Pro 🔒
Monza
Lorenzo LucchesiD 100%6 of 6 Pro 🔒
Dany MotaF 80%8 of 10 Pro 🔒
Gustavo VarelaF 80%4 of 5 Pro 🔒
Manga Foe OndoaM 75%3 of 4 Pro 🔒
Cyril NgongeMform earned at Espanyol 70%7 of 10 Pro 🔒
Andrea CarboniD 70%7 of 10 Pro 🔒
Michael FolorunshoM 60%6 of 10 Pro 🔒

Sassuolo
Ismael KonéM 80%8 of 10 Pro 🔒
Domenico BerardiF 80%8 of 10 Pro 🔒
Sebastiano EspositoF 80%8 of 10 Pro 🔒
Armand LaurientéF 70%7 of 10 Pro 🔒
Cristian VolpatoF 60%6 of 10 Pro 🔒
Darryl BakolaM 60%6 of 10 Pro 🔒
Monza
Keita BaldéF 100%10 of 10 Pro 🔒
Dany MotaF 90%9 of 10 Pro 🔒
Michael FolorunshoM 90%9 of 10 Pro 🔒
Matteo PessinaM 70%7 of 10 Pro 🔒
Cyril NgongeMform earned at Espanyol 70%7 of 10 Pro 🔒
Ricardo MangasD 67%4 of 6 Pro 🔒
Yvan MayeD 67%2 of 3 Pro 🔒
Jay RobinsonF 60%6 of 10 Pro 🔒
Patrick CutroneF 60%6 of 10 Pro 🔒
Samuele BirindelliD 60%6 of 10 Pro 🔒

Sassuolo
Armand LaurientéF 60%6 of 10 Pro 🔒
Sebastiano EspositoF 60%6 of 10 Pro 🔒
Monza
Keita BaldéF 60%6 of 10 Pro 🔒
Dany MotaF 60%6 of 10 Pro 🔒

Sassuolo
Ismael KonéM 80%8 of 10 Pro 🔒
Darryl BakolaM 80%8 of 10 Pro 🔒
Luca LipaniM 70%7 of 10 Pro 🔒
Cristian VolpatoF 70%7 of 10 Pro 🔒
Armand LaurientéF 70%7 of 10 Pro 🔒
Sebastiano EspositoF 70%7 of 10 Pro 🔒
Ibrahim SulemanaM 60%6 of 10 Pro 🔒
Rafael ObradorD 60%6 of 10 Pro 🔒
Nemanja MatićM 60%6 of 10 Pro 🔒
Daniel BolocaM 60%6 of 10 Pro 🔒
Monza
Samuele BirindelliD 90%9 of 10 Pro 🔒
Jay RobinsonF 80%8 of 10 Pro 🔒
Eddy KouadioD 78%7 of 9 Pro 🔒
Andrea CarboniD 70%7 of 10 Pro 🔒
Lorenzo LucchesiD 67%4 of 6 Pro 🔒
Matteo PessinaM 60%6 of 10 Pro 🔒
Mathis MoutM 60%3 of 5 Pro 🔒

Sassuolo
Darryl BakolaM 60%6 of 10 Pro 🔒
Monza
Andrea CarboniD 60%6 of 10 Pro 🔒

Sassuolo
Cas OdenthalD 67%2 of 3 Stats only
Vasilije AdžićM 30%3 of 10 Stats only
Sebastiano EspositoF 30%3 of 10 Stats only
Monza
Gustavo VarelaF 60%3 of 5 Stats only

Sassuolo
No Sassuolo player in this window.
Monza
Ricardo MangasD 33%2 of 6 Stats only

Sassuolo
Stefano TuratiG 60%6 of 10 Stats only
Monza
No Monza 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.