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SharpXI©
Player stats 26/27

Genoa v Como

Your slip follows you between games.

How often each Genoa and Como 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 Como: Anastasios Douvikas (Como) tops the visitors for 1+ shots on target — 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 🔒
Milutin OsmajićF 70%7 of 10 Pro 🔒
Tommaso BaldanziM 60%6 of 10 Pro 🔒
Kingsley EhizibueDform earned at Udinese 60%6 of 10 Pro 🔒
Lorenzo ColomboF 60%6 of 10 Pro 🔒
Como
Nico PazM 100%10 of 10 Pro 🔒
Moise KeanFform earned at Fiorentina 100%10 of 10 Pro 🔒
Anastasios DouvikasF 100%10 of 10 Pro 🔒
Assane DiaoM 90%9 of 10 Pro 🔒
Jacobo RamónD 80%8 of 10 Pro 🔒
Martin BaturinaM 70%7 of 10 Pro 🔒
Lucas Da CunhaM 70%7 of 10 Pro 🔒

Genoa
VitinhaF 70%7 of 10 Pro 🔒
Como
Nico PazM 90%9 of 10 Pro 🔒
Moise KeanFform earned at Fiorentina 80%8 of 10 Pro 🔒
Assane DiaoM 70%7 of 10 Pro 🔒
Anastasios DouvikasF 70%7 of 10 Pro 🔒

Genoa
No Genoa player in this window.
Como
Nico PazM 60%6 of 10 Pro 🔒

Genoa
No Genoa player in this window.
Como
Anastasios DouvikasF 80%8 of 10 Pro 🔒
Moise KeanFform earned at Fiorentina 70%7 of 10 Pro 🔒
Nico PazM 60%6 of 10 Pro 🔒

Genoa
Morten FrendrupF 80%8 of 10 Pro 🔒
Leo ØstigårdD 70%7 of 10 Pro 🔒
Lorenzo ColomboF 70%7 of 10 Pro 🔒
Como
Anastasios DouvikasF 90%9 of 10 Pro 🔒
Nico PazM 80%8 of 10 Pro 🔒
Samuele RicciMform earned at AC Milan 80%8 of 10 Pro 🔒
Jacobo RamónD 70%7 of 10 Pro 🔒
Assane DiaoM 70%7 of 10 Pro 🔒
Máximo PerroneM 60%6 of 10 Pro 🔒
Lucas Da CunhaM 60%6 of 10 Pro 🔒

Genoa
Johan VásquezD 100%10 of 10 Pro 🔒
VitinhaF 90%9 of 10 Pro 🔒
Junior MessiasF 90%9 of 10 Pro 🔒
Alexsandro AmorimM 80%8 of 10 Pro 🔒
Lorenzo ColomboF 80%8 of 10 Pro 🔒
Stefano SabelliM 70%7 of 10 Pro 🔒
Milutin OsmajićF 70%7 of 10 Pro 🔒
Mikael EllertssonM 70%7 of 10 Pro 🔒
Kingsley EhizibueDform earned at Udinese 60%6 of 10 Pro 🔒
Morten FrendrupF 60%6 of 10 Pro 🔒
Como
Martin BaturinaM 90%9 of 10 Pro 🔒
Assane DiaoM 80%8 of 10 Pro 🔒
Moise KeanFform earned at Fiorentina 80%8 of 10 Pro 🔒
Anastasios DouvikasF 70%7 of 10 Pro 🔒
Samuele RicciMform earned at AC Milan 70%7 of 10 Pro 🔒
Nico PazM 60%6 of 10 Pro 🔒

Genoa
Lorenzo ColomboF 60%6 of 10 Pro 🔒
Como
Assane DiaoM 60%6 of 10 Pro 🔒

Genoa
Junior MessiasF 100%10 of 10 Pro 🔒
Johan VásquezD 100%10 of 10 Pro 🔒
Morten FrendrupF 100%10 of 10 Pro 🔒
VitinhaF 90%9 of 10 Pro 🔒
Stefano SabelliM 80%8 of 10 Pro 🔒
Alexsandro AmorimM 70%7 of 10 Pro 🔒
Kingsley EhizibueDform earned at Udinese 70%7 of 10 Pro 🔒
Mikael EllertssonM 70%7 of 10 Pro 🔒
Tommaso BaldanziM 60%6 of 10 Pro 🔒
Djibril SowM 60%6 of 10 Pro 🔒
Leo ØstigårdD 60%6 of 10 Pro 🔒
Como
Nico PazM 90%9 of 10 Pro 🔒
Luis MillaM 90%9 of 10 Pro 🔒
Álex ValleD 80%8 of 10 Pro 🔒
Jacobo RamónD 80%8 of 10 Pro 🔒
Lucas Da CunhaM 80%8 of 10 Pro 🔒
Assane DiaoM 70%7 of 10 Pro 🔒
Máximo PerroneM 60%6 of 10 Pro 🔒
Martin BaturinaM 60%6 of 10 Pro 🔒

Genoa
Alexsandro AmorimM 70%7 of 10 Pro 🔒
Morten FrendrupF 70%7 of 10 Pro 🔒
VitinhaF 60%6 of 10 Pro 🔒
Junior MessiasF 60%6 of 10 Pro 🔒
Como
Nico PazM 90%9 of 10 Pro 🔒
Lucas Da CunhaM 70%7 of 10 Pro 🔒

Genoa
No Genoa player in this window.
Como
Anastasios DouvikasF 50%5 of 10 Stats only
Nico PazM 30%3 of 10 Stats only
Moise KeanFform earned at Fiorentina 30%3 of 10 Stats only

Genoa
Djibril SowM 30%3 of 10 Stats only
Como
No Como 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
Marco Guida refereed this match 4.14cards a gameleague 4.19 49games
Marco Guida'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.