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Player stats 25/26

Genoa v Cremonese

Your slip follows you between games.

How often each Genoa 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 Genoa v Cremonese: Ruslan Malinovskyi (Genoa) leads the home side for 1+ shots — 9 of 10 (90%); Federico Bonazzoli (Cremonese) 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.

Genoa
Ruslan MalinovskyiM 90%9 of 10 Pro 🔒
Johan VásquezD 80%8 of 10 Pro 🔒
Lorenzo ColomboF 80%8 of 10 Pro 🔒
VitinhaF 70%7 of 10 Pro 🔒
Maxwel CornetM 70%7 of 10 Pro 🔒
Mikael EllertssonM 70%7 of 10 Pro 🔒
Cremonese
Federico BonazzoliF 70%7 of 10 Pro 🔒
Martín PayeroM 70%7 of 10 Pro 🔒
Jamie VardyF 60%6 of 10 Pro 🔒

Genoa
Aarón MartínD 90%9 of 10 Pro 🔒
Leo ØstigårdD 90%9 of 10 Pro 🔒
Brooke Norton-CuffyD 80%8 of 10 Pro 🔒
Morten FrendrupM 80%8 of 10 Pro 🔒
Valentín CarboniM 70%7 of 10 Pro 🔒
Lorenzo ColomboF 70%7 of 10 Pro 🔒
VitinhaF 60%6 of 10 Pro 🔒
Jeff EkhatorF 60%6 of 10 Pro 🔒
Ruslan MalinovskyiM 60%6 of 10 Pro 🔒
Patrizio MasiniM 60%6 of 10 Pro 🔒
Cremonese
Jamie VardyF 70%7 of 10 Pro 🔒
Martín PayeroM 70%7 of 10 Pro 🔒
Tommaso BarbieriM 67%4 of 6 Pro 🔒
Jari VandeputteM 62%5 of 8 Pro 🔒
Warren BondoM 60%6 of 10 Pro 🔒

Genoa
Brooke Norton-CuffyD 60%6 of 10 Pro 🔒
Cremonese
No Cremonese player in this window.

Genoa
Patrizio MasiniM 90%9 of 10 Pro 🔒
VitinhaF 80%8 of 10 Pro 🔒
Jeff EkhatorF 80%8 of 10 Pro 🔒
Ruslan MalinovskyiM 80%8 of 10 Pro 🔒
Johan VásquezD 60%6 of 10 Pro 🔒
Mikael EllertssonM 60%6 of 10 Pro 🔒
Cremonese
Warren BondoM 80%8 of 10 Pro 🔒
Martín PayeroM 80%8 of 10 Pro 🔒
Franco VázquezF 71%5 of 7 Pro 🔒
Federico BonazzoliF 70%7 of 10 Pro 🔒
Filippo TerraccianoD 60%6 of 10 Pro 🔒
Jamie VardyF 60%6 of 10 Pro 🔒

Genoa
Patrizio MasiniM 80%8 of 10 Pro 🔒
Cremonese
No Cremonese player in this window.

Genoa
Patrizio MasiniM 60%6 of 10 Pro 🔒
Cremonese
No Cremonese player in this window.

Genoa
Patrizio MasiniM 100%10 of 10 Pro 🔒
Johan VásquezD 90%9 of 10 Pro 🔒
Brooke Norton-CuffyD 80%8 of 10 Pro 🔒
Aarón MartínD 80%8 of 10 Pro 🔒
Morten FrendrupM 80%8 of 10 Pro 🔒
VitinhaF 70%7 of 10 Pro 🔒
Valentín CarboniM 70%7 of 10 Pro 🔒
Leo ØstigårdD 70%7 of 10 Pro 🔒
Mikael EllertssonM 60%6 of 10 Pro 🔒
Cremonese
Tommaso BarbieriM 83%5 of 6 Pro 🔒
Warren BondoM 80%8 of 10 Pro 🔒
Jari VandeputteM 62%5 of 8 Pro 🔒
Mikayil FayeD 60%6 of 10 Pro 🔒
Martín PayeroM 60%6 of 10 Pro 🔒

Genoa
Patrizio MasiniM 90%9 of 10 Pro 🔒
Cremonese
No Cremonese player in this window.

Genoa
Patrizio MasiniM 70%7 of 10 Pro 🔒
Cremonese
No Cremonese player in this window.

Genoa
No Genoa player in this window.
Cremonese
Jamie VardyF 30%3 of 10 Stats only

Genoa
Aarón MartínD 40%4 of 10 Stats only
Cremonese
Jari VandeputteM 38%3 of 8 Stats only

Genoa
Nicola LealiG 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
Rosario Abisso refereed this match 4.38cards a gameleague 4.19 40games
Rosario Abisso'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.