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Player stats 26/27

AS Roma v Genoa

Your slip follows you between games.

How often each AS Roma and Genoa 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 AS Roma v Genoa on Sat 17 Oct: Matías Soulé (AS Roma) leads the home side for 1+ shots on target — 6 of 10 (60%). Raw hit rates from recent matches, not odds.

Predicted line-up — not the team sheet Our best guess at the shape, from recent selections. Team sheets usually land about an hour before kick-off.
What sits behind these numbers

Line-ups aren't confirmed, so the players shown are a likely XI from each club's recent selections — injuries and suspensions are filtered out where we know them. Hit rates are their recent form, not a forecast for this match. Cody Drameh joined recently, and every game behind that rate was played for Hull City — read as prior form, not this club's.

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.

AS Roma
Santiago CastroF 90%9 of 10 Pro 🔒
Matías SouléF 80%8 of 10 Pro 🔒
Paulo DybalaF 80%8 of 10 Pro 🔒
Rodrigo MoraM 75%3 of 4 Pro 🔒
Niccolò PisilliM 70%7 of 10 Pro 🔒
WesleyD 60%6 of 10 Pro 🔒
Lorenzo PellegriniF 60%6 of 10 Pro 🔒
Gianluca ManciniD 60%6 of 10 Pro 🔒
Evan NdickaD 60%6 of 10 Pro 🔒
Genoa
VitinhaF 100%10 of 10 Pro 🔒
Tommaso BaldanziF 80%8 of 10 Pro 🔒
Kingsley EhizibueD 60%6 of 10 Pro 🔒

AS Roma
Matías SouléF 60%6 of 10 Pro 🔒
Genoa
Tommaso BaldanziF 60%6 of 10 Pro 🔒

AS Roma
Matías SouléF 60%6 of 10 Pro 🔒
Paulo DybalaF 60%6 of 10 Pro 🔒
Genoa
No Genoa player in this window.

AS Roma
WesleyD 80%8 of 10 Pro 🔒
Gianluca ManciniD 80%8 of 10 Pro 🔒
Marten de RoonM 70%7 of 10 Pro 🔒
Mario HermosoD 70%7 of 10 Pro 🔒
Lorenzo PellegriniF 70%7 of 10 Pro 🔒
Manu KonéM 70%7 of 10 Pro 🔒
Niccolò PisilliM 60%6 of 10 Pro 🔒
Evan NdickaD 60%6 of 10 Pro 🔒
Genoa

AS Roma
Lorenzo PellegriniF 100%10 of 10 Pro 🔒
WesleyD 90%9 of 10 Pro 🔒
Matías SouléF 80%8 of 10 Pro 🔒
Paulo DybalaF 70%7 of 10 Pro 🔒
Mario HermosoD 70%7 of 10 Pro 🔒
Manu KonéM 70%7 of 10 Pro 🔒
Daniele GhilardiD 60%6 of 10 Pro 🔒
Gianluca ManciniD 60%6 of 10 Pro 🔒
Devyne RenschD 60%6 of 10 Pro 🔒
Genoa
Johan VásquezD 100%10 of 10 Pro 🔒
VitinhaF 90%9 of 10 Pro 🔒
Kingsley EhizibueD 80%8 of 10 Pro 🔒
Junior MessiasF 80%8 of 10 Pro 🔒
Alexsandro AmorimM 70%7 of 10 Pro 🔒
Stefano SabelliM 70%7 of 10 Pro 🔒
Sebastian OtoaD 60%6 of 10 Pro 🔒
Morten FrendrupM 60%6 of 10 Pro 🔒

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

AS Roma
Marten de RoonM 100%10 of 10 Pro 🔒
Daniele GhilardiD 90%9 of 10 Pro 🔒
Leonardo BalerdiD 90%9 of 10 Pro 🔒
WesleyD 80%8 of 10 Pro 🔒
Mario HermosoD 80%8 of 10 Pro 🔒
Nahuel MolinaD 80%8 of 10 Pro 🔒
Emanuele LulliD 75%3 of 4 Pro 🔒
Gianluca ManciniD 70%7 of 10 Pro 🔒
Evan NdickaD 60%6 of 10 Pro 🔒
Genoa
Alessandro MarcandalliD 100%10 of 10 Pro 🔒
Junior MessiasF 100%10 of 10 Pro 🔒
Johan VásquezD 100%10 of 10 Pro 🔒
Morten FrendrupM 100%10 of 10 Pro 🔒
Alexsandro AmorimM 80%8 of 10 Pro 🔒
Kingsley EhizibueD 80%8 of 10 Pro 🔒
VitinhaF 70%7 of 10 Pro 🔒
Stefano SabelliM 70%7 of 10 Pro 🔒
Cody DramehDform earned at Hull City 70%7 of 10 Pro 🔒
Tommaso BaldanziF 60%6 of 10 Pro 🔒
Stephan El ShaarawyF 60%6 of 10 Pro 🔒

AS Roma
Emanuele LulliD 75%3 of 4 Pro 🔒
Genoa

AS Roma
Niccolò PisilliM 30%3 of 10 Stats only
Genoa
No Genoa player in this window.

AS Roma
Paulo DybalaF 50%5 of 10 Stats only
Devyne RenschD 30%3 of 10 Stats only
Genoa
No Genoa 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

Not appointed yet — referees are usually confirmed two to three days before kick-off. See the referee panel

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.