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Player stats 25/26

Atalanta v Cremonese

Your slip follows you between games.

How often each Atalanta 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 Atalanta v Cremonese: Nikola Krstović (Atalanta) 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.

Atalanta
Nikola KrstovićF 100%10 of 10 Pro 🔒
ÉdersonM 70%7 of 10 Pro 🔒
Nicola ZalewskiM 70%7 of 10 Pro 🔒
Cremonese
Federico BonazzoliF 80%8 of 10 Pro 🔒
Martín PayeroM 70%7 of 10 Pro 🔒
Alessio ZerbinF 60%6 of 10 Pro 🔒

Atalanta
Nikola KrstovićF 60%6 of 10 Pro 🔒
Cremonese
Federico BonazzoliF 60%6 of 10 Pro 🔒

Atalanta
Nikola KrstovićF 60%6 of 10 Pro 🔒
Cremonese
No Cremonese player in this window.

Atalanta
Giorgio ScalviniD 70%7 of 10 Pro 🔒
Sead KolašinacD 70%7 of 10 Pro 🔒
Mario PašalićM 70%7 of 10 Pro 🔒
ÉdersonM 70%7 of 10 Pro 🔒
Odilon KossounouD 70%7 of 10 Pro 🔒
Nikola KrstovićF 60%6 of 10 Pro 🔒
Cremonese
Tommaso BarbieriM 100%10 of 10 Pro 🔒
Sebastiano LupertoDform earned at Cagliari 80%8 of 10 Pro 🔒
Giuseppe PezzellaM 80%8 of 10 Pro 🔒
Youssef MalehM 70%7 of 10 Pro 🔒
Martín PayeroM 70%7 of 10 Pro 🔒
Federico CeccheriniD 60%6 of 10 Pro 🔒
Morten ThorsbyMform earned at Genoa 60%6 of 10 Pro 🔒
Alessio ZerbinF 60%6 of 10 Pro 🔒

Atalanta
No Atalanta player in this window.
Cremonese
Tommaso BarbieriM 60%6 of 10 Pro 🔒

Atalanta
ÉdersonM 70%7 of 10 Pro 🔒
Nicola ZalewskiM 70%7 of 10 Pro 🔒
Yunus MusahM 60%6 of 10 Pro 🔒
Cremonese
Federico BonazzoliF 80%8 of 10 Pro 🔒
Martín PayeroM 80%8 of 10 Pro 🔒
Federico CeccheriniD 70%7 of 10 Pro 🔒
Jamie VardyF 70%7 of 10 Pro 🔒
Antonio SanabriaF 70%7 of 10 Pro 🔒
Sebastiano LupertoDform earned at Cagliari 70%7 of 10 Pro 🔒
Giuseppe PezzellaM 70%7 of 10 Pro 🔒
Tommaso BarbieriM 70%7 of 10 Pro 🔒
Alberto GrassiM 60%6 of 10 Pro 🔒

Atalanta
No Atalanta player in this window.
Cremonese
Martín PayeroM 60%6 of 10 Pro 🔒

Atalanta
Sead KolašinacD 90%9 of 10 Pro 🔒
Berat DjimsitiD 90%9 of 10 Pro 🔒
Giorgio ScalviniD 80%8 of 10 Pro 🔒
Lorenzo BernasconiD 80%8 of 10 Pro 🔒
ÉdersonM 80%8 of 10 Pro 🔒
Davide ZappacostaM 60%6 of 10 Pro 🔒
Mario PašalićM 60%6 of 10 Pro 🔒
Nicola ZalewskiM 60%6 of 10 Pro 🔒
Cremonese
Tommaso BarbieriM 90%9 of 10 Pro 🔒
Giuseppe PezzellaM 80%8 of 10 Pro 🔒
Alberto GrassiM 70%7 of 10 Pro 🔒
Alessio ZerbinF 70%7 of 10 Pro 🔒
Filippo TerraccianoD 60%6 of 10 Pro 🔒
Federico BonazzoliF 60%6 of 10 Pro 🔒
Youssef MalehM 60%6 of 10 Pro 🔒
Martín PayeroM 60%6 of 10 Pro 🔒

Atalanta
ÉdersonM 70%7 of 10 Pro 🔒
Sead KolašinacD 60%6 of 10 Pro 🔒
Cremonese

Atalanta
Nikola KrstovićF 30%3 of 10 Stats only
Cremonese
No Cremonese player in this window.

Atalanta
Marco CarnesecchiG 70%7 of 10 Stats only
Cremonese
Emil AuderoG 70%7 of 10 Stats only

Atalanta
No Atalanta 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
Marco Piccinini refereed this match 4.05cards a gameleague 4.19 44games
Marco Piccinini'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.