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Player stats 25/26

Cremonese v Udinese

Your slip follows you between games.

How often each Cremonese and Udinese 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 Cremonese v Udinese: Arthur Atta (Udinese) tops the visitors 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.

Cremonese
Martín PayeroM 80%8 of 10 Pro 🔒
Federico BonazzoliF 70%7 of 10 Pro 🔒
Udinese
Arthur AttaM 90%9 of 10 Pro 🔒
Keinan DavisF 90%9 of 10 Pro 🔒
Oumar SoletD 80%8 of 10 Pro 🔒
Jürgen EkkelenkampM 80%8 of 10 Pro 🔒
Nicolò ZanioloF 70%7 of 10 Pro 🔒
Vakoun Issouf BayoF 60%6 of 10 Pro 🔒
Jakub PiotrowskiM 60%3 of 5 Pro 🔒

Cremonese
No Cremonese player in this window.
Udinese
Keinan DavisF 70%7 of 10 Pro 🔒
Arthur AttaM 60%6 of 10 Pro 🔒

Cremonese
No Cremonese player in this window.
Udinese
Arthur AttaM 60%6 of 10 Pro 🔒
Keinan DavisF 60%6 of 10 Pro 🔒

Cremonese
Alessio ZerbinM 90%9 of 10 Pro 🔒
Jamie VardyF 70%7 of 10 Pro 🔒
Martín PayeroM 70%7 of 10 Pro 🔒
Matteo BianchettiD 60%6 of 10 Pro 🔒
Giuseppe PezzellaM 60%6 of 10 Pro 🔒
Franco VázquezF 60%3 of 5 Pro 🔒
Udinese
Jesper KarlströmM 80%8 of 10 Pro 🔒
Keinan DavisF 80%8 of 10 Pro 🔒
Oumar SoletD 80%8 of 10 Pro 🔒
Christian KabaseleD 70%7 of 10 Pro 🔒
Saba GoglichidzeD 60%6 of 10 Pro 🔒
Arthur AttaM 60%6 of 10 Pro 🔒
Hassane KamaraM 60%6 of 10 Pro 🔒
Kingsley EhizibueD 60%6 of 10 Pro 🔒
Vakoun Issouf BayoF 60%6 of 10 Pro 🔒
Nicolò ZanioloF 60%6 of 10 Pro 🔒
Jakub PiotrowskiM 60%3 of 5 Pro 🔒

Cremonese
Martín PayeroM 90%9 of 10 Pro 🔒
Warren BondoM 80%8 of 10 Pro 🔒
Alessio ZerbinM 80%8 of 10 Pro 🔒
Tommaso BarbieriD 75%3 of 4 Pro 🔒
Federico BonazzoliF 70%7 of 10 Pro 🔒
Franco VázquezF 60%3 of 5 Pro 🔒
Udinese
Christian KabaseleD 90%9 of 10 Pro 🔒
Saba GoglichidzeD 70%7 of 10 Pro 🔒
Arthur AttaM 70%7 of 10 Pro 🔒
Oumar SoletD 70%7 of 10 Pro 🔒
Keinan DavisF 60%6 of 10 Pro 🔒
Alessandro ZanoliM 60%6 of 10 Pro 🔒

Cremonese
Franco VázquezF 60%3 of 5 Pro 🔒
Udinese
No Udinese player in this window.

Cremonese
Warren BondoM 80%8 of 10 Pro 🔒
Tommaso BarbieriD 75%3 of 4 Pro 🔒
Giuseppe PezzellaM 70%7 of 10 Pro 🔒
Alessio ZerbinM 70%7 of 10 Pro 🔒
Filippo TerraccianoD 60%6 of 10 Pro 🔒
Martín PayeroM 60%6 of 10 Pro 🔒
Franco VázquezF 60%3 of 5 Pro 🔒
Udinese
Jesper KarlströmM 90%9 of 10 Pro 🔒
Oumar SoletD 90%9 of 10 Pro 🔒
Hassane KamaraM 80%8 of 10 Pro 🔒
Jakub PiotrowskiM 80%4 of 5 Pro 🔒
Kingsley EhizibueD 70%7 of 10 Pro 🔒
Christian KabaseleD 60%6 of 10 Pro 🔒

Cremonese
No Cremonese player in this window.
Udinese
Jesper KarlströmM 60%6 of 10 Pro 🔒
Jakub PiotrowskiM 60%3 of 5 Pro 🔒

Cremonese
Federico BonazzoliF 30%3 of 10 Stats only
Udinese
No Udinese player in this window.

Cremonese
Jari VandeputteM 33%2 of 6 Stats only
Udinese
No Udinese player in this window.

Cremonese
Marco SilvestriG 80%8 of 10 Stats only
Udinese
No Udinese player in this window.

Cremonese
Marco SilvestriG 70%7 of 10 Stats only
Udinese
No Udinese 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
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.