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Bologna v Empoli

Your slip follows you between games.

How often each Bologna 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 Bologna v Empoli: Thijs Dallinga (Bologna) 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.

Bologna
Santiago CastroF 80%8 of 10 Pro 🔒
Riccardo OrsoliniF 80%8 of 10 Pro 🔒
Thijs DallingaF 80%8 of 10 Pro 🔒
Michel AebischerM 70%7 of 10 Pro 🔒
Empoli
Lorenzo ColomboF 60%6 of 10 Pro 🔒

Bologna
Thijs DallingaF 60%6 of 10 Pro 🔒
Empoli
No Empoli player in this window.

Bologna
Thijs DallingaF 60%6 of 10 Pro 🔒
Empoli
No Empoli player in this window.

Bologna
Jens OdgaardF 80%8 of 10 Pro 🔒
Thijs DallingaF 80%8 of 10 Pro 🔒
Santiago CastroF 70%7 of 10 Pro 🔒
Remo FreulerM 70%7 of 10 Pro 🔒
Michel AebischerM 70%7 of 10 Pro 🔒
Stefan PoschD 60%6 of 10 Pro 🔒
Riccardo OrsoliniF 60%6 of 10 Pro 🔒
Sam BeukemaD 60%6 of 10 Pro 🔒
Empoli
Giuseppe PezzellaM 100%10 of 10 Pro 🔒
Emmanuel GyasiM 90%9 of 10 Pro 🔒
Youssef MalehM 80%8 of 10 Pro 🔒
Jacopo FazziniF 70%7 of 10 Pro 🔒
Ardian IsmajliD 70%7 of 10 Pro 🔒
Liam HendersonM 60%6 of 10 Pro 🔒

Bologna
Stefan PoschD 90%9 of 10 Pro 🔒
Michel AebischerM 80%8 of 10 Pro 🔒
Thijs DallingaF 80%8 of 10 Pro 🔒
Riccardo OrsoliniF 70%7 of 10 Pro 🔒
Jhon LucumíD 70%7 of 10 Pro 🔒
Jens OdgaardF 60%6 of 10 Pro 🔒
Juan MirandaD 60%6 of 10 Pro 🔒
Empoli
Jacopo FazziniF 80%8 of 10 Pro 🔒
Giuseppe PezzellaM 80%8 of 10 Pro 🔒
Ardian IsmajliD 80%8 of 10 Pro 🔒
Pietro PellegriFform earned at Torino 70%7 of 10 Pro 🔒
Youssef MalehM 70%7 of 10 Pro 🔒
Lorenzo ColomboF 70%7 of 10 Pro 🔒
Alberto GrassiM 60%6 of 10 Pro 🔒

Bologna
Remo FreulerM 100%10 of 10 Pro 🔒
Stefan PoschD 90%9 of 10 Pro 🔒
Jhon LucumíD 80%8 of 10 Pro 🔒
Juan MirandaD 80%8 of 10 Pro 🔒
Kacper UrbańskiM 70%7 of 10 Pro 🔒
Nikola MoroM 70%7 of 10 Pro 🔒
Michel AebischerM 70%7 of 10 Pro 🔒
Empoli
Mattia VitiD 90%9 of 10 Pro 🔒
Emmanuel GyasiM 80%8 of 10 Pro 🔒
Youssef MalehM 80%8 of 10 Pro 🔒
Alberto GrassiM 70%7 of 10 Pro 🔒
Nicolas HaasM 70%7 of 10 Pro 🔒
Jacopo FazziniF 60%6 of 10 Pro 🔒
Giuseppe PezzellaM 60%6 of 10 Pro 🔒
Ardian IsmajliD 60%6 of 10 Pro 🔒

Bologna
Remo FreulerM 70%7 of 10 Pro 🔒
Stefan PoschD 60%6 of 10 Pro 🔒
Empoli
Mattia VitiD 60%6 of 10 Pro 🔒
Emmanuel GyasiM 60%6 of 10 Pro 🔒

Bologna
Thijs DallingaF 50%5 of 10 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-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.