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Player stats 25/26

Sassuolo v Cremonese

Your slip follows you between games.

How often each Sassuolo and Cremonese 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 Cremonese: Domenico Berardi (Sassuolo) leads the home side for 1+ shots on target — 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.

Sassuolo
Domenico BerardiF 90%9 of 10 Pro 🔒
Andrea PinamontiF 80%8 of 10 Pro 🔒
Kristian ThorstvedtM 80%8 of 10 Pro 🔒
Armand LaurientéF 80%8 of 10 Pro 🔒
Ismael KonéM 60%6 of 10 Pro 🔒
Cremonese
Federico BonazzoliF 70%7 of 10 Pro 🔒

Sassuolo
Armand LaurientéF 70%7 of 10 Pro 🔒
Domenico BerardiF 60%6 of 10 Pro 🔒
Andrea PinamontiF 60%6 of 10 Pro 🔒
Cremonese
Federico BonazzoliF 60%6 of 10 Pro 🔒

Sassuolo
Domenico BerardiF 70%7 of 10 Pro 🔒
Kristian ThorstvedtM 60%6 of 10 Pro 🔒
Armand LaurientéF 60%6 of 10 Pro 🔒
Cremonese
No Cremonese player in this window.

Sassuolo
Alieu FaderaF 80%8 of 10 Pro 🔒
Domenico BerardiF 80%8 of 10 Pro 🔒
Edoardo IannoniM 70%7 of 10 Pro 🔒
Kristian ThorstvedtM 70%7 of 10 Pro 🔒
Ismael KonéM 60%6 of 10 Pro 🔒
Luca LipaniM 60%6 of 10 Pro 🔒
Nemanja MatićM 60%6 of 10 Pro 🔒
Cremonese
Tommaso BarbieriM 100%10 of 10 Pro 🔒
Matteo BianchettiD 80%8 of 10 Pro 🔒
Jari VandeputteM 70%7 of 10 Pro 🔒
Giuseppe PezzellaM 70%7 of 10 Pro 🔒

Sassuolo
No Sassuolo player in this window.
Cremonese
Tommaso BarbieriM 70%7 of 10 Pro 🔒

Sassuolo
Nemanja MatićM 100%10 of 10 Pro 🔒
Ismael KonéM 90%9 of 10 Pro 🔒
Domenico BerardiF 80%8 of 10 Pro 🔒
Andrea PinamontiF 80%8 of 10 Pro 🔒
Kristian ThorstvedtM 80%8 of 10 Pro 🔒
Armand LaurientéF 80%8 of 10 Pro 🔒
Alieu FaderaF 70%7 of 10 Pro 🔒
Cremonese
Federico BonazzoliF 90%9 of 10 Pro 🔒
Tommaso BarbieriM 80%8 of 10 Pro 🔒
Jamie VardyF 60%6 of 10 Pro 🔒
Giuseppe PezzellaM 60%6 of 10 Pro 🔒

Sassuolo
Alieu FaderaF 60%6 of 10 Pro 🔒
Cremonese
Federico BonazzoliF 60%6 of 10 Pro 🔒

Sassuolo
Alieu FaderaF 80%8 of 10 Pro 🔒
Domenico BerardiF 80%8 of 10 Pro 🔒
Nemanja MatićM 80%8 of 10 Pro 🔒
Luca LipaniM 70%7 of 10 Pro 🔒
Tarik MuharemovićD 60%6 of 10 Pro 🔒
Kristian ThorstvedtM 60%6 of 10 Pro 🔒
Jay IdzesD 60%6 of 10 Pro 🔒
Josh DoigD 60%6 of 10 Pro 🔒
Cremonese
Matteo BianchettiD 90%9 of 10 Pro 🔒
Tommaso BarbieriM 90%9 of 10 Pro 🔒
Jari VandeputteM 80%8 of 10 Pro 🔒
Giuseppe PezzellaM 70%7 of 10 Pro 🔒
Alessio ZerbinF 70%7 of 10 Pro 🔒
Mikayil FayeD 60%6 of 10 Pro 🔒
Filippo TerraccianoD 60%6 of 10 Pro 🔒

Sassuolo
No Sassuolo player in this window.
Cremonese

Sassuolo
Domenico BerardiF 30%3 of 10 Stats only
Cremonese
No Cremonese player in this window.

Sassuolo
Domenico BerardiF 30%3 of 10 Stats only
Cremonese
No Cremonese player in this window.

Sassuolo
Arijanet MurićG 70%7 of 10 Stats only
Cremonese
Emil AuderoG 80%8 of 10 Stats only

Sassuolo
Arijanet MurićG 60%6 of 10 Stats only
Cremonese
Emil AuderoG 60%6 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
Giuseppe Collu refereed this match 4.27cards a gameleague 4.19 22games
Giuseppe Collu'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.