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Player stats 25/26

Hellas Verona v Sassuolo

Your slip follows you between games.

How often each Hellas Verona 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 Hellas Verona v Sassuolo: Giovane (Hellas Verona) leads the home side for 1+ shots on target — 3 of 5 (60%); Andrea Pinamonti (Sassuolo) 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 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.

Hellas Verona
Suat SerdarM 80%8 of 10 Pro 🔒
GiovaneF 80%4 of 5 Pro 🔒
Daniel MosqueraF 70%7 of 10 Pro 🔒
Gift OrbanF 70%7 of 10 Pro 🔒
Amin SarrF 60%6 of 10 Pro 🔒
Sassuolo
Andrea PinamontiF 90%9 of 10 Pro 🔒
Armand LaurientéF 70%7 of 10 Pro 🔒
Kristian ThorstvedtM 60%6 of 10 Pro 🔒

Hellas Verona
GiovaneF 60%3 of 5 Pro 🔒
Sassuolo
Andrea PinamontiF 60%6 of 10 Pro 🔒

Hellas Verona
GiovaneF 60%3 of 5 Pro 🔒
Sassuolo
Andrea PinamontiF 60%6 of 10 Pro 🔒

Hellas Verona
GiovaneF 60%3 of 5 Pro 🔒
Sassuolo
No Sassuolo player in this window.

Hellas Verona
Suat SerdarM 90%9 of 10 Pro 🔒
Daniel MosqueraF 80%8 of 10 Pro 🔒
Amin SarrF 80%8 of 10 Pro 🔒
Gift OrbanF 70%7 of 10 Pro 🔒
Roberto GagliardiniM 70%7 of 10 Pro 🔒
Unai NúñezD 70%7 of 10 Pro 🔒
Victor NelssonD 67%6 of 9 Pro 🔒
Martin FreseD 60%6 of 10 Pro 🔒
GiovaneF 60%3 of 5 Pro 🔒
Sassuolo
Jay IdzesD 80%8 of 10 Pro 🔒
Alieu FaderaF 60%6 of 10 Pro 🔒
Cristian VolpatoF 60%6 of 10 Pro 🔒
Josh DoigD 60%6 of 10 Pro 🔒
Aster VranckxM 60%6 of 10 Pro 🔒

Hellas Verona
Suat SerdarM 60%6 of 10 Pro 🔒
Sassuolo
No Sassuolo player in this window.

Hellas Verona
GiovaneF 80%4 of 5 Pro 🔒
Roberto GagliardiniM 70%7 of 10 Pro 🔒
Suat SerdarM 70%7 of 10 Pro 🔒
Cheikh NiasseM 60%6 of 10 Pro 🔒
Sassuolo
Kristian ThorstvedtM 80%8 of 10 Pro 🔒
Armand LaurientéF 80%8 of 10 Pro 🔒
Aster VranckxM 80%8 of 10 Pro 🔒
Nicholas PieriniF 75%3 of 4 Pro 🔒
Ismael KonéM 70%7 of 10 Pro 🔒
Josh DoigD 70%7 of 10 Pro 🔒
Alieu FaderaF 60%6 of 10 Pro 🔒
Andrea PinamontiF 60%6 of 10 Pro 🔒

Hellas Verona
Suat SerdarM 90%9 of 10 Pro 🔒
Martin FreseD 80%8 of 10 Pro 🔒
Unai NúñezD 70%7 of 10 Pro 🔒
Domagoj BradarićM 70%7 of 10 Pro 🔒
Cheikh NiasseM 70%7 of 10 Pro 🔒
Victor NelssonD 67%6 of 9 Pro 🔒
Antoine BernedeM 60%6 of 10 Pro 🔒
Rafik BelghaliM 60%3 of 5 Pro 🔒
GiovaneF 60%3 of 5 Pro 🔒
Sassuolo
Tarik MuharemovićD 100%5 of 5 Pro 🔒
Josh DoigD 90%9 of 10 Pro 🔒
Nemanja MatićM 80%8 of 10 Pro 🔒
Ismael KonéM 70%7 of 10 Pro 🔒
Armand LaurientéF 70%7 of 10 Pro 🔒
Aster VranckxM 70%7 of 10 Pro 🔒
Kristian ThorstvedtM 60%6 of 10 Pro 🔒
Jay IdzesD 60%6 of 10 Pro 🔒

Hellas Verona
Suat SerdarM 80%8 of 10 Pro 🔒
Domagoj BradarićM 60%6 of 10 Pro 🔒
Sassuolo

Hellas Verona
Suat SerdarM 60%6 of 10 Pro 🔒
Sassuolo
No Sassuolo player in this window.

Hellas Verona
GiovaneF 60%3 of 5 Pro 🔒
Sassuolo
No Sassuolo player in this window.

Hellas Verona
No Hellas Verona player in this window.
Sassuolo
Arijanet MurićG 80%8 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
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.