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Parma v Empoli

Your slip follows you between games.

How often each Parma 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 Parma v Empoli: Ange-Yoan Bonny (Parma) leads the home side for 1+ shots on target — 5 of 8 (62%). 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.

Parma
Ange-Yoan BonnyF 100%8 of 8 Pro 🔒
Valentin MihăilăF 100%8 of 8 Pro 🔒
Dennis ManM 88%7 of 8 Pro 🔒
HernaniM 80%4 of 5 Pro 🔒
Adrián BernabéM 75%6 of 8 Pro 🔒
Simon SohmM 62%5 of 8 Pro 🔒
Matteo CancellieriM 60%6 of 10 Pro 🔒
Empoli
Mattia VitiD 70%7 of 10 Pro 🔒
Lorenzo ColomboF 60%6 of 10 Pro 🔒

Parma
Ange-Yoan BonnyF 75%6 of 8 Pro 🔒
Empoli
No Empoli player in this window.

Parma
Ange-Yoan BonnyF 62%5 of 8 Pro 🔒
Dennis ManM 62%5 of 8 Pro 🔒
Empoli
No Empoli player in this window.

Parma
Ange-Yoan BonnyF 75%6 of 8 Pro 🔒
Matteo CancellieriM 70%7 of 10 Pro 🔒
Simon SohmM 62%5 of 8 Pro 🔒
Pontus AlmqvistF 60%6 of 10 Pro 🔒
Emanuele ValeriD 60%6 of 10 Pro 🔒
Empoli
Jacopo FazziniM 90%9 of 10 Pro 🔒
Giuseppe PezzellaM 90%9 of 10 Pro 🔒
Youssef MalehM 90%9 of 10 Pro 🔒
Emmanuel GyasiM 80%8 of 10 Pro 🔒
Liam HendersonM 70%7 of 10 Pro 🔒
Saba GoglichidzeD 67%4 of 6 Pro 🔒
Mattia VitiD 60%6 of 10 Pro 🔒
Alberto GrassiM 60%6 of 10 Pro 🔒
Tino AnjorinM 60%6 of 10 Pro 🔒
Lorenzo ColomboF 60%6 of 10 Pro 🔒

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

Parma
Adrián BernabéM 100%8 of 8 Pro 🔒
Matteo CancellieriM 80%8 of 10 Pro 🔒
Ange-Yoan BonnyF 75%6 of 8 Pro 🔒
Emanuele ValeriD 60%6 of 10 Pro 🔒
HernaniM 60%3 of 5 Pro 🔒
Empoli
Giuseppe PezzellaM 80%8 of 10 Pro 🔒
Pietro PellegriF 80%8 of 10 Pro 🔒
Mattia VitiD 70%7 of 10 Pro 🔒
Jacopo FazziniM 70%7 of 10 Pro 🔒
Alberto GrassiM 70%7 of 10 Pro 🔒
Ardian IsmajliD 70%7 of 10 Pro 🔒
Youssef MalehM 70%7 of 10 Pro 🔒
Tino AnjorinM 60%6 of 10 Pro 🔒
Lorenzo ColomboF 60%6 of 10 Pro 🔒

Parma
Adrián BernabéM 75%6 of 8 Pro 🔒
Ange-Yoan BonnyF 62%5 of 8 Pro 🔒
Matteo CancellieriM 60%6 of 10 Pro 🔒
Empoli
Giuseppe PezzellaM 60%6 of 10 Pro 🔒

Parma
Adrián BernabéM 88%7 of 8 Pro 🔒
Botond BaloghD 88%7 of 8 Pro 🔒
Woyo CoulibalyD 86%6 of 7 Pro 🔒
Matteo CancellieriM 60%6 of 10 Pro 🔒
HernaniM 60%3 of 5 Pro 🔒
Empoli
Saba GoglichidzeD 100%6 of 6 Pro 🔒
Mattia VitiD 90%9 of 10 Pro 🔒
Alberto GrassiM 90%9 of 10 Pro 🔒
Emmanuel GyasiM 90%9 of 10 Pro 🔒
Giuseppe PezzellaM 90%9 of 10 Pro 🔒
Jacopo FazziniM 70%7 of 10 Pro 🔒
Youssef MalehM 70%7 of 10 Pro 🔒
Tino AnjorinM 60%6 of 10 Pro 🔒

Parma
Adrián BernabéM 62%5 of 8 Pro 🔒
Empoli
Alberto GrassiM 90%9 of 10 Pro 🔒
Saba GoglichidzeD 83%5 of 6 Pro 🔒
Mattia VitiD 70%7 of 10 Pro 🔒

Parma
No Parma player in this window.
Empoli
Mattia VitiD 60%6 of 10 Pro 🔒

Parma
Ange-Yoan BonnyF 38%3 of 8 Stats only
Dennis ManM 38%3 of 8 Stats only
Empoli
No Empoli 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
Federico La Penna refereed this match 4.32cards a gameleague 4.19 53games
Federico La Penna'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.