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SharpXI©
Player stats 25/26

Genoa v AS Roma

Your slip follows you between games.

How often each Genoa and AS Roma 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 AS Roma: Lorenzo Colombo (Genoa) leads the home side for 1+ shots on target — 6 of 10 (60%); Donyell Malen (AS Roma) 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.

Genoa
VitinhaF 100%10 of 10 Pro 🔒
Lorenzo ColomboF 90%9 of 10 Pro 🔒
Ruslan MalinovskyiM 60%6 of 10 Pro 🔒
Caleb EkubanF 60%6 of 10 Pro 🔒
Junior MessiasF 60%6 of 10 Pro 🔒
AS Roma
Lorenzo PellegriniF 80%8 of 10 Pro 🔒
Donyell MalenF 80%8 of 10 Pro 🔒
Niccolò PisilliM 70%7 of 10 Pro 🔒
Bryan CristanteM 60%6 of 10 Pro 🔒
Manu KonéM 60%6 of 10 Pro 🔒

Genoa
VitinhaF 70%7 of 10 Pro 🔒
Lorenzo ColomboF 60%6 of 10 Pro 🔒
AS Roma
Donyell MalenF 80%8 of 10 Pro 🔒

Genoa
No Genoa player in this window.
AS Roma
Donyell MalenF 80%8 of 10 Pro 🔒

Genoa
Lorenzo ColomboF 60%6 of 10 Pro 🔒
AS Roma
Donyell MalenF 80%8 of 10 Pro 🔒

Genoa
Patrizio MasiniM 80%8 of 10 Pro 🔒
Ruslan MalinovskyiM 70%7 of 10 Pro 🔒
Mikael EllertssonM 70%7 of 10 Pro 🔒
VitinhaF 60%6 of 10 Pro 🔒
Jeff EkhatorF 60%6 of 10 Pro 🔒
Aarón MartínD 60%6 of 10 Pro 🔒
Morten FrendrupM 60%6 of 10 Pro 🔒
Lorenzo ColomboF 60%6 of 10 Pro 🔒
AS Roma
Gianluca ManciniD 100%10 of 10 Pro 🔒
Bryan CristanteM 90%9 of 10 Pro 🔒
Evan NdickaD 80%8 of 10 Pro 🔒
Manu KonéM 80%8 of 10 Pro 🔒
Neil El AynaouiM 70%7 of 10 Pro 🔒
Zeki ÇelikD 70%7 of 10 Pro 🔒
Niccolò PisilliM 60%6 of 10 Pro 🔒
Daniele GhilardiD 60%6 of 10 Pro 🔒
Jan ZiółkowskiD 60%6 of 10 Pro 🔒
Lorenzo PellegriniF 60%6 of 10 Pro 🔒

Genoa
Ruslan MalinovskyiM 60%6 of 10 Pro 🔒
AS Roma
Manu KonéM 70%7 of 10 Pro 🔒
Bryan CristanteM 60%6 of 10 Pro 🔒
Gianluca ManciniD 60%6 of 10 Pro 🔒

Genoa
VitinhaF 90%9 of 10 Pro 🔒
Aarón MartínD 80%8 of 10 Pro 🔒
Morten FrendrupM 80%8 of 10 Pro 🔒
Lorenzo ColomboF 70%7 of 10 Pro 🔒
Caleb EkubanF 60%6 of 10 Pro 🔒
Junior MessiasF 60%6 of 10 Pro 🔒
Johan VásquezD 60%6 of 10 Pro 🔒
Mikael EllertssonM 60%6 of 10 Pro 🔒
AS Roma
Evan NdickaD 100%10 of 10 Pro 🔒
Manu KonéM 90%9 of 10 Pro 🔒
Lorenzo PellegriniF 80%8 of 10 Pro 🔒
Daniele GhilardiD 60%6 of 10 Pro 🔒
Robinio VazF 60%6 of 10 Pro 🔒

Genoa
VitinhaF 80%8 of 10 Pro 🔒
Morten FrendrupM 60%6 of 10 Pro 🔒
AS Roma
No AS Roma player in this window.

Genoa
VitinhaF 60%6 of 10 Pro 🔒
AS Roma
No AS Roma player in this window.

Genoa
Morten FrendrupM 100%10 of 10 Pro 🔒
VitinhaF 80%8 of 10 Pro 🔒
Johan VásquezD 80%8 of 10 Pro 🔒
Mikael EllertssonM 80%8 of 10 Pro 🔒
Ruslan MalinovskyiM 70%7 of 10 Pro 🔒
Aarón MartínD 70%7 of 10 Pro 🔒
Leo ØstigårdD 70%7 of 10 Pro 🔒
Stefano SabelliM 60%6 of 10 Pro 🔒
Patrizio MasiniM 60%6 of 10 Pro 🔒
AS Roma
Manu KonéM 100%10 of 10 Pro 🔒
Zeki ÇelikD 90%9 of 10 Pro 🔒
Gianluca ManciniD 80%8 of 10 Pro 🔒
Devyne RenschM 80%8 of 10 Pro 🔒
Daniele GhilardiD 70%7 of 10 Pro 🔒
Bryan CristanteM 70%7 of 10 Pro 🔒
Evan NdickaD 70%7 of 10 Pro 🔒
Niccolò PisilliM 60%6 of 10 Pro 🔒

Genoa
Morten FrendrupM 100%10 of 10 Pro 🔒
Ruslan MalinovskyiM 60%6 of 10 Pro 🔒
AS Roma
Manu KonéM 70%7 of 10 Pro 🔒
Bryan CristanteM 60%6 of 10 Pro 🔒
Zeki ÇelikD 60%6 of 10 Pro 🔒

Genoa
Morten FrendrupM 60%6 of 10 Pro 🔒
AS Roma
No AS Roma player in this window.

Genoa
Lorenzo ColomboF 40%4 of 10 Stats only
Ruslan MalinovskyiM 30%3 of 10 Stats only
AS Roma
Donyell MalenF 40%4 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+15% cards vs the league average
Andrea Colombo refereed this match 4.80cards a gameleague 4.19 60games
Andrea Colombo'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.