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SharpXI©
Player stats 25/26

Bologna v Pisa

Your slip follows you between games.

How often each Bologna 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 Bologna v Pisa: Riccardo Orsolini (Bologna) leads the home side for 1+ shots on target — 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.

Bologna
Riccardo OrsoliniM 100%10 of 10 Pro 🔒
Jonathan RoweF 80%8 of 10 Pro 🔒
Jens OdgaardM 60%6 of 10 Pro 🔒
Thijs DallingaF 60%6 of 10 Pro 🔒
Nadir ZorteaD 60%6 of 10 Pro 🔒
Pisa
Giovanni BonfantiD 80%4 of 5 Pro 🔒
Matteo TramoniF 80%4 of 5 Pro 🔒
M'bala NzolaF 70%7 of 10 Pro 🔒

Bologna
Riccardo OrsoliniM 90%9 of 10 Pro 🔒
Pisa
No Pisa player in this window.

Bologna
Riccardo OrsoliniM 60%6 of 10 Pro 🔒
Pisa
No Pisa player in this window.

Bologna
Riccardo OrsoliniM 70%7 of 10 Pro 🔒
Pisa
No Pisa player in this window.

Bologna
Remo FreulerM 70%7 of 10 Pro 🔒
Thijs DallingaF 70%7 of 10 Pro 🔒
Nikola MoroM 60%6 of 10 Pro 🔒
Jens OdgaardM 60%6 of 10 Pro 🔒
Tommaso PobegaM 60%6 of 10 Pro 🔒
Nicolò CambiaghiM 60%6 of 10 Pro 🔒
Pisa
Antonio CaraccioloD 100%5 of 5 Pro 🔒
Marius MarinM 100%4 of 4 Pro 🔒
M'bala NzolaF 80%8 of 10 Pro 🔒
Giovanni BonfantiD 80%4 of 5 Pro 🔒
Matteo TramoniF 80%4 of 5 Pro 🔒
Idrissa TouréM 75%3 of 4 Pro 🔒

Bologna
No Bologna player in this window.
Pisa

Bologna
Riccardo OrsoliniM 90%9 of 10 Pro 🔒
Nicolò CambiaghiM 80%8 of 10 Pro 🔒
Jonathan RoweF 70%7 of 10 Pro 🔒
Jens OdgaardM 70%7 of 10 Pro 🔒
Giovanni FabbianM 60%6 of 10 Pro 🔒
Remo FreulerM 60%6 of 10 Pro 🔒
Juan MirandaD 60%6 of 10 Pro 🔒
Pisa
Marius MarinM 75%3 of 4 Pro 🔒
Juan CuadradoM 70%7 of 10 Pro 🔒
Mehdi LérisM 60%6 of 10 Pro 🔒
Giovanni BonfantiD 60%3 of 5 Pro 🔒

Bologna
Nicolò CambiaghiM 70%7 of 10 Pro 🔒
Pisa
No Pisa player in this window.

Bologna
Remo FreulerM 90%9 of 10 Pro 🔒
Torbjørn HeggemD 80%8 of 10 Pro 🔒
Nikola MoroM 70%7 of 10 Pro 🔒
Jhon LucumíD 70%7 of 10 Pro 🔒
Pisa
Antonio CaraccioloD 100%5 of 5 Pro 🔒
Giovanni BonfantiD 80%4 of 5 Pro 🔒
Matteo TramoniF 80%4 of 5 Pro 🔒
Samuele AngoriD 75%3 of 4 Pro 🔒
Marius MarinM 75%3 of 4 Pro 🔒
Idrissa TouréM 75%3 of 4 Pro 🔒
Juan CuadradoM 60%6 of 10 Pro 🔒

Bologna
Jhon LucumíD 60%6 of 10 Pro 🔒
Pisa

Bologna
Riccardo OrsoliniM 60%6 of 10 Stats only
Pisa
No Pisa player in this window.

Bologna
No Bologna player in this window.
Pisa
Adrian ŠemperG 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
Rosario Abisso refereed this match 4.38cards a gameleague 4.19 40games
Rosario Abisso'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.