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Player stats 25/26

Bologna v Cremonese

Your slip follows you between games.

How often each Bologna and Cremonese 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 Cremonese: 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 80%8 of 10 Pro 🔒
Nicolò CambiaghiF 80%8 of 10 Pro 🔒
Nadir ZorteaD 70%7 of 10 Pro 🔒
Santiago CastroF 60%6 of 10 Pro 🔒
Tommaso PobegaM 60%6 of 10 Pro 🔒
Cremonese
Federico BonazzoliF 80%8 of 10 Pro 🔒
Jamie VardyF 60%6 of 10 Pro 🔒
Jari VandeputteM 60%6 of 10 Pro 🔒
Martín PayeroM 60%6 of 10 Pro 🔒

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

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

Bologna
Thijs DallingaF 80%8 of 10 Pro 🔒
Torbjørn HeggemD 80%8 of 10 Pro 🔒
Santiago CastroF 70%7 of 10 Pro 🔒
Nikola MoroM 70%7 of 10 Pro 🔒
Tommaso PobegaM 70%7 of 10 Pro 🔒
Emil HolmD 70%7 of 10 Pro 🔒
Riccardo OrsoliniM 60%6 of 10 Pro 🔒
Jens OdgaardM 60%6 of 10 Pro 🔒
Nicolò CasaleD 60%6 of 10 Pro 🔒
Nicolò CambiaghiF 60%6 of 10 Pro 🔒
Cremonese
Warren BondoM 80%8 of 10 Pro 🔒
Alessio ZerbinF 80%8 of 10 Pro 🔒
Tommaso BarbieriM 80%8 of 10 Pro 🔒
Martín PayeroM 70%7 of 10 Pro 🔒
Matteo BianchettiD 60%6 of 10 Pro 🔒
Jamie VardyF 60%6 of 10 Pro 🔒
Jari VandeputteM 60%6 of 10 Pro 🔒

Bologna
Santiago CastroF 60%6 of 10 Pro 🔒
Torbjørn HeggemD 60%6 of 10 Pro 🔒
Cremonese
Martín PayeroM 70%7 of 10 Pro 🔒

Bologna
Riccardo OrsoliniM 80%8 of 10 Pro 🔒
Nicolò CambiaghiF 80%8 of 10 Pro 🔒
Santiago CastroF 70%7 of 10 Pro 🔒
Emil HolmD 70%7 of 10 Pro 🔒
Jens OdgaardM 60%6 of 10 Pro 🔒
Juan MirandaD 60%6 of 10 Pro 🔒
Cremonese
Warren BondoM 80%8 of 10 Pro 🔒
Federico BonazzoliF 80%8 of 10 Pro 🔒
Martín PayeroM 80%8 of 10 Pro 🔒
Alberto GrassiM 70%7 of 10 Pro 🔒
Alessio ZerbinF 70%7 of 10 Pro 🔒
Tommaso BarbieriM 70%7 of 10 Pro 🔒
Filippo TerraccianoD 60%6 of 10 Pro 🔒
Jamie VardyF 60%6 of 10 Pro 🔒
Jari VandeputteM 60%6 of 10 Pro 🔒

Bologna
Nicolò CambiaghiF 70%7 of 10 Pro 🔒
Emil HolmD 60%6 of 10 Pro 🔒
Cremonese
Warren BondoM 60%6 of 10 Pro 🔒
Federico BonazzoliF 60%6 of 10 Pro 🔒

Bologna
Nicolò CambiaghiF 60%6 of 10 Pro 🔒
Cremonese
No Cremonese player in this window.

Bologna
Torbjørn HeggemD 100%10 of 10 Pro 🔒
Nikola MoroM 80%8 of 10 Pro 🔒
Emil HolmD 80%8 of 10 Pro 🔒
Nadir ZorteaD 70%7 of 10 Pro 🔒
Jhon LucumíD 60%6 of 10 Pro 🔒
Cremonese
Tommaso BarbieriM 90%9 of 10 Pro 🔒
Giuseppe PezzellaM 80%8 of 10 Pro 🔒
Warren BondoM 70%7 of 10 Pro 🔒
Jari VandeputteM 70%7 of 10 Pro 🔒
Alessio ZerbinF 70%7 of 10 Pro 🔒
Matteo BianchettiD 60%6 of 10 Pro 🔒
Martín PayeroM 60%6 of 10 Pro 🔒

Bologna
Emil HolmD 60%6 of 10 Pro 🔒
Cremonese
Warren BondoM 60%6 of 10 Pro 🔒
Matteo BianchettiD 60%6 of 10 Pro 🔒
Tommaso BarbieriM 60%6 of 10 Pro 🔒

Bologna
Riccardo OrsoliniM 40%4 of 10 Stats only
Santiago CastroF 30%3 of 10 Stats only
Cremonese
Francesco FolinoD 33%1 of 3 Stats only
Jamie VardyF 30%3 of 10 Stats only
Federico BonazzoliF 30%3 of 10 Stats only

Bologna
Emil HolmD 40%4 of 10 Stats only
Nicolò CambiaghiF 40%4 of 10 Stats only
Cremonese
Jari VandeputteM 30%3 of 10 Stats only

Bologna
No Bologna player in this window.
Cremonese
Emil AuderoG 80%8 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-31% cards vs the league average
Ermanno Feliciani refereed this match 2.90cards a gameleague 4.19 42games
Ermanno Feliciani'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.