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SharpXI©
Player stats 25/26

Como v Pisa

Your slip follows you between games.

How often each Como and Pisa 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 Como v Pisa: Nico Paz (Como) leads the home side for 1+ shots on target — 8 of 10 (80%); Stefano Moreo (Pisa) 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.

Como
Nico PazM 100%10 of 10 Pro 🔒
Martin BaturinaM 90%9 of 10 Pro 🔒
Jesús RodriguezM 80%8 of 10 Pro 🔒
Anastasios DouvikasF 80%8 of 10 Pro 🔒
Álvaro MorataF 70%7 of 10 Pro 🔒
Assane DiaoM 70%7 of 10 Pro 🔒
Lucas Da CunhaM 70%7 of 10 Pro 🔒
Maxence CaqueretM 60%6 of 10 Pro 🔒
Pisa
Stefano MoreoF 90%9 of 10 Pro 🔒
Matteo TramoniF 70%7 of 10 Pro 🔒
Antonio CaraccioloD 60%6 of 10 Pro 🔒
Gabriele PiccininiM 60%6 of 10 Pro 🔒
Felipe LoyolaM 60%3 of 5 Pro 🔒

Como
Nico PazM 80%8 of 10 Pro 🔒
Pisa
Stefano MoreoF 70%7 of 10 Pro 🔒

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

Como
Nico PazM 80%8 of 10 Pro 🔒
Anastasios DouvikasF 60%6 of 10 Pro 🔒
Pisa
Stefano MoreoF 70%7 of 10 Pro 🔒

Como
Marc KempfD 70%7 of 10 Pro 🔒
Edoardo GoldanigaD 70%7 of 10 Pro 🔒
Diego CarlosD 70%7 of 10 Pro 🔒
Lucas Da CunhaM 70%7 of 10 Pro 🔒
Máximo PerroneM 60%6 of 10 Pro 🔒
Martin BaturinaM 60%6 of 10 Pro 🔒
Nico PazM 60%6 of 10 Pro 🔒
Assane DiaoM 60%6 of 10 Pro 🔒
Jesús RodriguezM 60%6 of 10 Pro 🔒
Pisa
Antonio CaraccioloD 70%7 of 10 Pro 🔒
Simone CanestrelliD 70%7 of 10 Pro 🔒
Malthe HøjholtM 70%7 of 10 Pro 🔒
Raúl AlbiolD 60%6 of 10 Pro 🔒

Como
Martin BaturinaM 90%9 of 10 Pro 🔒
Edoardo GoldanigaD 90%9 of 10 Pro 🔒
Assane DiaoM 80%8 of 10 Pro 🔒
Jesús RodriguezM 80%8 of 10 Pro 🔒
Nico PazM 60%6 of 10 Pro 🔒
Álvaro MorataF 60%6 of 10 Pro 🔒
Pisa
Samuele AngoriM 80%8 of 10 Pro 🔒
Mehdi LérisM 60%6 of 10 Pro 🔒
Matteo TramoniF 60%6 of 10 Pro 🔒

Como
Assane DiaoM 60%6 of 10 Pro 🔒
Edoardo GoldanigaD 60%6 of 10 Pro 🔒
Pisa
Samuele AngoriM 70%7 of 10 Pro 🔒

Como
Nico PazM 80%8 of 10 Pro 🔒
Máximo PerroneM 70%7 of 10 Pro 🔒
Lucas Da CunhaM 70%7 of 10 Pro 🔒
Martin BaturinaM 60%6 of 10 Pro 🔒
Diego CarlosD 60%6 of 10 Pro 🔒
Pisa
Matteo TramoniF 90%9 of 10 Pro 🔒
Antonio CaraccioloD 80%8 of 10 Pro 🔒
Samuele AngoriM 80%8 of 10 Pro 🔒
Felipe LoyolaM 80%4 of 5 Pro 🔒
Raúl AlbiolD 60%6 of 10 Pro 🔒

Como
Nico PazM 80%8 of 10 Pro 🔒
Pisa
No Pisa player in this window.

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

Como
Martin BaturinaM 40%4 of 10 Stats only
Anastasios DouvikasF 30%3 of 10 Stats only
Pisa
No Pisa player in this window.

Como
Martin BaturinaM 30%3 of 10 Stats only
Maxence CaqueretM 30%3 of 10 Stats only
Lucas Da CunhaM 30%3 of 10 Stats only
Pisa
No Pisa player in this window.

Como
No Como player in this window.
Pisa
NícolasG 60%3 of 5 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+11% cards vs the league average
Luca Pairetto refereed this match 4.65cards a gameleague 4.19 52games
Luca Pairetto'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.