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Player stats 25/26

Parma v Cremonese

Your slip follows you between games.

How often each Parma 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 Parma v Cremonese: Gabriel Strefezza (Parma) 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.

Parma
Gabriel StrefezzaF 90%9 of 10 Pro 🔒
Mateo PellegrinoF 80%8 of 10 Pro 🔒
Jacob OndrejkaF 70%7 of 10 Pro 🔒
Gaetano OristanioM 60%6 of 10 Pro 🔒
Cremonese
Federico BonazzoliF 90%9 of 10 Pro 🔒
Martín PayeroM 80%8 of 10 Pro 🔒
Youssef MalehM 70%7 of 10 Pro 🔒
Jamie VardyF 60%6 of 10 Pro 🔒
Morten ThorsbyM 60%6 of 10 Pro 🔒
Jari VandeputteM 60%6 of 10 Pro 🔒

Parma
Mateo PellegrinoF 70%7 of 10 Pro 🔒
Cremonese
Federico BonazzoliF 60%6 of 10 Pro 🔒

Parma
Gabriel StrefezzaF 60%6 of 10 Pro 🔒
Cremonese
No Cremonese player in this window.

Parma
Mateo PellegrinoF 90%9 of 10 Pro 🔒
Alessandro CircatiD 90%9 of 10 Pro 🔒
Mariano TroiloD 80%8 of 10 Pro 🔒
Gabriel StrefezzaF 70%7 of 10 Pro 🔒
Mandela KeitaM 60%6 of 10 Pro 🔒
Lautaro ValentiD 60%6 of 10 Pro 🔒
Gaetano OristanioM 60%6 of 10 Pro 🔒
Cremonese
Giuseppe PezzellaD 100%10 of 10 Pro 🔒
Matteo BianchettiD 90%9 of 10 Pro 🔒
Tommaso BarbieriD 80%8 of 10 Pro 🔒
Morten ThorsbyM 70%7 of 10 Pro 🔒
Federico BonazzoliF 70%7 of 10 Pro 🔒
Jari VandeputteM 70%7 of 10 Pro 🔒
Youssef MalehM 70%7 of 10 Pro 🔒
Francesco FolinoD 60%6 of 10 Pro 🔒
Sebastiano LupertoD 60%6 of 10 Pro 🔒
Alessio ZerbinM 60%6 of 10 Pro 🔒

Parma
Mateo PellegrinoF 70%7 of 10 Pro 🔒
Cremonese
Youssef MalehM 70%7 of 10 Pro 🔒

Parma
Mateo PellegrinoF 90%9 of 10 Pro 🔒
Mandela KeitaM 90%9 of 10 Pro 🔒
Gabriel StrefezzaF 80%8 of 10 Pro 🔒
Mariano TroiloD 70%7 of 10 Pro 🔒
Sascha BritschgiM 60%6 of 10 Pro 🔒
Cremonese
Federico BonazzoliF 90%9 of 10 Pro 🔒
Sebastiano LupertoD 70%7 of 10 Pro 🔒
Giuseppe PezzellaD 70%7 of 10 Pro 🔒
Martín PayeroM 70%7 of 10 Pro 🔒
Tommaso BarbieriD 60%6 of 10 Pro 🔒

Parma
Mandela KeitaM 60%6 of 10 Pro 🔒
Cremonese
Federico BonazzoliF 60%6 of 10 Pro 🔒

Parma
Mandela KeitaM 90%9 of 10 Pro 🔒
Alessandro CircatiD 90%9 of 10 Pro 🔒
Sascha BritschgiM 70%7 of 10 Pro 🔒
Gabriel StrefezzaF 70%7 of 10 Pro 🔒
Lautaro ValentiD 70%7 of 10 Pro 🔒
Mariano TroiloD 60%6 of 10 Pro 🔒
Cremonese
Matteo BianchettiD 90%9 of 10 Pro 🔒
Morten ThorsbyM 80%8 of 10 Pro 🔒
Jari VandeputteM 80%8 of 10 Pro 🔒
Filippo TerraccianoD 70%7 of 10 Pro 🔒
Giuseppe PezzellaD 70%7 of 10 Pro 🔒
Youssef MalehM 70%7 of 10 Pro 🔒
Tommaso BarbieriD 70%7 of 10 Pro 🔒
Francesco FolinoD 60%6 of 10 Pro 🔒
Alberto GrassiM 60%6 of 10 Pro 🔒
Federico BonazzoliF 60%6 of 10 Pro 🔒
Alessio ZerbinM 60%6 of 10 Pro 🔒

Parma
Mandela KeitaM 80%8 of 10 Pro 🔒
Cremonese
Morten ThorsbyM 60%6 of 10 Pro 🔒

Parma
Zion SuzukiG 70%7 of 10 Stats only
Cremonese
Emil AuderoG 60%6 of 10 Stats only

Parma
No Parma player in this window.
Cremonese
Emil AuderoG 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
Michael Fabbri refereed this match 4.29cards a gameleague 4.19 59games
Michael Fabbri'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.