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Player stats 25/26

Sassuolo v Como

Your slip follows you between games.

How often each Sassuolo and Como 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 Como: Andrea Pinamonti (Sassuolo) leads the home side for 1+ shots on target — 7 of 10 (70%); Nico Paz (Como) tops the visitors on 8 of 10 (80%). 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.

Sassuolo
Andrea PinamontiF 90%9 of 10 Pro 🔒
Kristian ThorstvedtM 80%8 of 10 Pro 🔒
Tarik MuharemovićD 70%7 of 10 Pro 🔒
Armand LaurientéF 70%7 of 10 Pro 🔒
Ismael KonéM 60%6 of 10 Pro 🔒
Como
Martin BaturinaM 100%10 of 10 Pro 🔒
Nico PazM 100%10 of 10 Pro 🔒
Anastasios DouvikasF 90%9 of 10 Pro 🔒
Jesús RodriguezF 80%8 of 10 Pro 🔒
Assane DiaoM 70%7 of 10 Pro 🔒
Álvaro MorataF 60%6 of 10 Pro 🔒
Lucas Da CunhaM 60%6 of 10 Pro 🔒

Sassuolo
No Sassuolo player in this window.
Como
Nico PazM 80%8 of 10 Pro 🔒
Anastasios DouvikasF 60%6 of 10 Pro 🔒

Sassuolo
Andrea PinamontiF 70%7 of 10 Pro 🔒
Como
Nico PazM 80%8 of 10 Pro 🔒
Anastasios DouvikasF 60%6 of 10 Pro 🔒

Sassuolo
Jay IdzesD 90%9 of 10 Pro 🔒
Alieu FaderaF 70%7 of 10 Pro 🔒
Armand LaurientéF 70%7 of 10 Pro 🔒
Luca LipaniM 60%6 of 10 Pro 🔒
Cristian VolpatoF 60%6 of 10 Pro 🔒
Como
Anastasios DouvikasF 70%7 of 10 Pro 🔒
Lucas Da CunhaM 70%7 of 10 Pro 🔒
Martin BaturinaM 60%6 of 10 Pro 🔒
Nico PazM 60%6 of 10 Pro 🔒
Jesús RodriguezF 60%6 of 10 Pro 🔒
Marc KempfD 60%6 of 10 Pro 🔒
Ivan SmolčićD 60%6 of 10 Pro 🔒

Sassuolo
Kristian ThorstvedtM 90%9 of 10 Pro 🔒
Armand LaurientéF 80%8 of 10 Pro 🔒
Alieu FaderaF 70%7 of 10 Pro 🔒
Ismael KonéM 70%7 of 10 Pro 🔒
Nemanja MatićM 60%6 of 10 Pro 🔒
Como
Assane DiaoM 90%9 of 10 Pro 🔒
Martin BaturinaM 80%8 of 10 Pro 🔒
Jesús RodriguezF 80%8 of 10 Pro 🔒
Nico PazM 70%7 of 10 Pro 🔒
Marc KempfD 60%6 of 10 Pro 🔒

Sassuolo
Ismael KonéM 60%6 of 10 Pro 🔒
Como
Assane DiaoM 70%7 of 10 Pro 🔒

Sassuolo
Tarik MuharemovićD 90%9 of 10 Pro 🔒
Kristian ThorstvedtM 80%8 of 10 Pro 🔒
Ismael KonéM 70%7 of 10 Pro 🔒
Alieu FaderaF 60%6 of 10 Pro 🔒
Luca LipaniM 60%6 of 10 Pro 🔒
Cristian VolpatoF 60%6 of 10 Pro 🔒
Nemanja MatićM 60%6 of 10 Pro 🔒
Armand LaurientéF 60%6 of 10 Pro 🔒
Como
Jacobo RamónD 90%9 of 10 Pro 🔒
Nico PazM 80%8 of 10 Pro 🔒
Lucas Da CunhaM 70%7 of 10 Pro 🔒
Máximo PerroneM 60%6 of 10 Pro 🔒
Martin BaturinaM 60%6 of 10 Pro 🔒
Alberto MorenoD 60%6 of 10 Pro 🔒

Sassuolo
Kristian ThorstvedtM 60%6 of 10 Pro 🔒
Como
Nico PazM 80%8 of 10 Pro 🔒

Sassuolo
Andrea PinamontiF 40%4 of 10 Stats only
Ismael KonéM 30%3 of 10 Stats only
Como
Martin BaturinaM 30%3 of 10 Stats only
Nico PazM 30%3 of 10 Stats only
Anastasios DouvikasF 30%3 of 10 Stats only

Sassuolo
Stefano TuratiG 70%7 of 10 Stats only
Como
No Como 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
Francesco Fourneau refereed this match 4.28cards a gameleague 4.19 40games
Francesco Fourneau'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.