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SharpXI©
Player stats 22/23

Sampdoria v Monza

Your slip follows you between games.

How often each Sampdoria and Monza 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 Sampdoria v Monza: Manolo Gabbiadini (Sampdoria) leads the home side for 1+ shots on target — 3 of 5 (60%). 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.

Sampdoria
Manolo GabbiadiniM 80%4 of 5 Pro 🔒
Valerio VerreM 71%5 of 7 Pro 🔒
Francesco CaputoF 71%5 of 7 Pro 🔒
Monza
Dany MotaF 80%4 of 5 Pro 🔒
Gianluca CaprariF 71%5 of 7 Pro 🔒
Stefano SensiM 71%5 of 7 Pro 🔒
Carlos AugustoM 67%4 of 6 Pro 🔒
Nicolò RovellaM 67%4 of 6 Pro 🔒

Sampdoria
Manolo GabbiadiniM 60%3 of 5 Pro 🔒
Monza
No Monza player in this window.

Sampdoria
Manolo GabbiadiniM 60%3 of 5 Pro 🔒
Monza
No Monza player in this window.

Sampdoria
Jeison MurilloD 100%4 of 4 Pro 🔒
Abdelhamid SabiriM 86%6 of 7 Pro 🔒
Tomás RincónM 71%5 of 7 Pro 🔒
Filip ĐuričićM 71%5 of 7 Pro 🔒
Monza
Matteo PessinaF 80%4 of 5 Pro 🔒
Dany MotaF 80%4 of 5 Pro 🔒
Luca CaldirolaD 75%3 of 4 Pro 🔒
Pablo MaríD 75%3 of 4 Pro 🔒
Carlos AugustoM 67%4 of 6 Pro 🔒
Armando IzzoD 67%2 of 3 Pro 🔒

Sampdoria
Abdelhamid SabiriM 71%5 of 7 Pro 🔒
Monza
No Monza player in this window.

Sampdoria
Abdelhamid SabiriM 100%7 of 7 Pro 🔒
Francesco CaputoF 86%6 of 7 Pro 🔒
Omar ColleyD 83%5 of 6 Pro 🔒
Jeison MurilloD 75%3 of 4 Pro 🔒
Filip ĐuričićM 71%5 of 7 Pro 🔒
Gonzalo VillarM 67%4 of 6 Pro 🔒
Monza
Luca CaldirolaD 100%4 of 4 Pro 🔒
Gianluca CaprariF 86%6 of 7 Pro 🔒
Stefano SensiM 86%6 of 7 Pro 🔒
Nicolò RovellaM 67%4 of 6 Pro 🔒
Armando IzzoD 67%2 of 3 Pro 🔒
Matteo PessinaF 60%3 of 5 Pro 🔒

Sampdoria
Abdelhamid SabiriM 71%5 of 7 Pro 🔒
Monza
Stefano SensiM 71%5 of 7 Pro 🔒
Armando IzzoD 67%2 of 3 Pro 🔒

Sampdoria
Abdelhamid SabiriM 71%5 of 7 Pro 🔒
Monza
No Monza player in this window.

Sampdoria
Abdelhamid SabiriM 86%6 of 7 Pro 🔒
Tomás RincónM 71%5 of 7 Pro 🔒
Filip ĐuričićM 71%5 of 7 Pro 🔒
Monza
Armando IzzoD 100%3 of 3 Pro 🔒
Pablo MaríD 75%3 of 4 Pro 🔒
Stefano SensiM 71%5 of 7 Pro 🔒
Andrea BarberisM 67%2 of 3 Pro 🔒
Matteo PessinaF 60%3 of 5 Pro 🔒

Sampdoria
No Sampdoria player in this window.
Monza

🔒 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+34% cards vs the league average
Giovanni Ayroldi refereed this match 5.60cards a gameleague 4.19 42games
Giovanni Ayroldi'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.