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Player stats 24/25

Monza v Empoli

Your slip follows you between games.

How often each Monza and Empoli 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 Monza v Empoli: Gianluca Caprari (Monza) leads the home side for 1+ shots on target — 6 of 10 (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.

Monza
Dany MotaF 90%9 of 10 Pro 🔒
Gianluca CaprariF 80%8 of 10 Pro 🔒
Samuele BirindelliM 70%7 of 10 Pro 🔒
Keita BaldéF 67%6 of 9 Pro 🔒
Empoli
Sebastiano EspositoF 90%9 of 10 Pro 🔒
Liam HendersonM 80%8 of 10 Pro 🔒
Liberato CacaceF 80%8 of 10 Pro 🔒
Alberto GrassiM 70%7 of 10 Pro 🔒
Tino AnjorinM 70%7 of 10 Pro 🔒
Jacopo FazziniF 60%6 of 10 Pro 🔒
Emmanuel GyasiM 60%6 of 10 Pro 🔒

Monza
Gianluca CaprariF 60%6 of 10 Pro 🔒
Empoli
No Empoli player in this window.

Monza
Luca CaldirolaD 70%7 of 10 Pro 🔒
Alessandro BiancoM 70%7 of 10 Pro 🔒
Andrea CarboniD 70%7 of 10 Pro 🔒
Dany MotaF 60%6 of 10 Pro 🔒
Samuele BirindelliM 60%6 of 10 Pro 🔒
Empoli
Liam HendersonM 100%10 of 10 Pro 🔒
Emmanuel GyasiM 100%10 of 10 Pro 🔒
Tino AnjorinM 80%8 of 10 Pro 🔒
Mattia VitiD 70%7 of 10 Pro 🔒
Saba GoglichidzeD 70%7 of 10 Pro 🔒
Alberto GrassiM 70%7 of 10 Pro 🔒
Giuseppe PezzellaM 70%7 of 10 Pro 🔒
Ardian IsmajliD 70%7 of 10 Pro 🔒
Lorenzo ColomboF 70%7 of 10 Pro 🔒
Sebastiano EspositoF 70%7 of 10 Pro 🔒

Monza
No Monza player in this window.
Empoli
Liam HendersonM 70%7 of 10 Pro 🔒
Emmanuel GyasiM 60%6 of 10 Pro 🔒
Giuseppe PezzellaM 60%6 of 10 Pro 🔒

Monza
Keita BaldéF 100%9 of 9 Pro 🔒
Luca CaldirolaD 80%8 of 10 Pro 🔒
Alessandro BiancoM 80%8 of 10 Pro 🔒
Gianluca CaprariF 80%8 of 10 Pro 🔒
Dany MotaF 80%8 of 10 Pro 🔒
Samuele BirindelliM 70%7 of 10 Pro 🔒
Empoli
Saba GoglichidzeD 80%8 of 10 Pro 🔒
Sebastiano EspositoF 80%8 of 10 Pro 🔒
Jacopo FazziniF 70%7 of 10 Pro 🔒
Mattia VitiD 60%6 of 10 Pro 🔒
Emmanuel GyasiM 60%6 of 10 Pro 🔒

Monza
Keita BaldéF 67%6 of 9 Pro 🔒
Empoli
No Empoli player in this window.

Monza
Andrea CarboniD 90%9 of 10 Pro 🔒
Alessandro BiancoM 70%7 of 10 Pro 🔒
Tomás PalaciosD 67%6 of 9 Pro 🔒
Luca CaldirolaD 60%6 of 10 Pro 🔒
Samuele BirindelliM 60%6 of 10 Pro 🔒
Empoli
Luca MarianucciD 100%10 of 10 Pro 🔒
Mattia VitiD 90%9 of 10 Pro 🔒
Liam HendersonM 90%9 of 10 Pro 🔒
Alberto GrassiM 80%8 of 10 Pro 🔒
Giuseppe PezzellaM 80%8 of 10 Pro 🔒
Ardian IsmajliD 80%8 of 10 Pro 🔒
Liberato CacaceF 80%8 of 10 Pro 🔒
Sebastiano EspositoF 80%8 of 10 Pro 🔒
Jacopo FazziniF 70%7 of 10 Pro 🔒
Saba GoglichidzeD 70%7 of 10 Pro 🔒
Lorenzo ColomboF 70%7 of 10 Pro 🔒
Tino AnjorinM 60%6 of 10 Pro 🔒

Monza
Andrea CarboniD 70%7 of 10 Pro 🔒
Empoli
Saba GoglichidzeD 60%6 of 10 Pro 🔒
Sebastiano EspositoF 60%6 of 10 Pro 🔒

Monza
Andrea CarboniD 60%6 of 10 Pro 🔒
Empoli
No Empoli player in this window.

Monza
No Monza player in this window.
Empoli
Jacopo FazziniF 30%3 of 10 Stats only

Monza
No Monza player in this window.
Empoli
Devis VásquezG 60%6 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-10% cards vs the league average
Livio Marinelli refereed this match 3.79cards a gameleague 4.19 48games
Livio Marinelli'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.