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Player stats 25/26

Pisa v SSC Napoli

Your slip follows you between games.

How often each Pisa and SSC Napoli 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 Pisa v SSC Napoli: Alisson Santos (SSC Napoli) 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.

Pisa
Antonio CaraccioloD 70%7 of 10 Pro 🔒
Stefano MoreoF 70%7 of 10 Pro 🔒
Michel AebischerM 60%6 of 10 Pro 🔒
SSC Napoli
Scott McTominayM 100%10 of 10 Pro 🔒
Rasmus HøjlundF 90%9 of 10 Pro 🔒
Kevin De BruyneM 80%8 of 10 Pro 🔒
Antonio VergaraM 70%7 of 10 Pro 🔒
Alisson SantosF 70%7 of 10 Pro 🔒
Giovanni Di LorenzoM 70%7 of 10 Pro 🔒

Pisa
No Pisa player in this window.
SSC Napoli
Scott McTominayM 70%7 of 10 Pro 🔒
Rasmus HøjlundF 60%6 of 10 Pro 🔒

Pisa
No Pisa player in this window.
SSC Napoli
Scott McTominayM 70%7 of 10 Pro 🔒

Pisa
No Pisa player in this window.
SSC Napoli
Alisson SantosF 60%6 of 10 Pro 🔒

Pisa
Antonio CaraccioloD 80%8 of 10 Pro 🔒
Michel AebischerM 80%8 of 10 Pro 🔒
Simone CanestrelliD 80%8 of 10 Pro 🔒
Isak VuralM 70%7 of 10 Pro 🔒
Arturo CalabresiD 70%7 of 10 Pro 🔒
Mehdi LérisM 70%7 of 10 Pro 🔒
Malthe HøjholtM 70%7 of 10 Pro 🔒
SSC Napoli
Amir RrahmaniD 80%8 of 10 Pro 🔒
Antonio VergaraM 70%7 of 10 Pro 🔒
Eljif ElmasF 70%7 of 10 Pro 🔒
Sam BeukemaD 70%7 of 10 Pro 🔒
Miguel GutiérrezD 70%7 of 10 Pro 🔒
Scott McTominayM 60%6 of 10 Pro 🔒

Pisa
Arturo CalabresiD 60%6 of 10 Pro 🔒
SSC Napoli

Pisa
Isak VuralM 90%9 of 10 Pro 🔒
Simone CanestrelliD 80%8 of 10 Pro 🔒
Samuele AngoriM 70%7 of 10 Pro 🔒
Arturo CalabresiD 70%7 of 10 Pro 🔒
Juan CuadradoM 70%7 of 10 Pro 🔒
Michel AebischerM 70%7 of 10 Pro 🔒
Stefano MoreoF 60%6 of 10 Pro 🔒
Mehdi LérisM 60%6 of 10 Pro 🔒
SSC Napoli
Antonio VergaraM 80%8 of 10 Pro 🔒
Rasmus HøjlundF 80%8 of 10 Pro 🔒
Giovanni Di LorenzoM 70%7 of 10 Pro 🔒
Scott McTominayM 70%7 of 10 Pro 🔒
Stanislav LobotkaM 60%6 of 10 Pro 🔒

Pisa
Isak VuralM 80%8 of 10 Pro 🔒
Samuele AngoriM 60%6 of 10 Pro 🔒
SSC Napoli
Antonio VergaraM 60%6 of 10 Pro 🔒
Scott McTominayM 60%6 of 10 Pro 🔒

Pisa
Antonio CaraccioloD 100%10 of 10 Pro 🔒
Samuele AngoriM 90%9 of 10 Pro 🔒
Michel AebischerM 90%9 of 10 Pro 🔒
Mehdi LérisM 80%8 of 10 Pro 🔒
Arturo CalabresiD 60%6 of 10 Pro 🔒
Simone CanestrelliD 60%6 of 10 Pro 🔒
SSC Napoli
Giovanni Di LorenzoM 70%7 of 10 Pro 🔒
Mathías OliveraD 70%7 of 10 Pro 🔒
Antonio VergaraM 60%6 of 10 Pro 🔒
Alisson SantosF 60%6 of 10 Pro 🔒
Stanislav LobotkaM 60%6 of 10 Pro 🔒
Amir RrahmaniD 60%6 of 10 Pro 🔒

Pisa
Antonio CaraccioloD 70%7 of 10 Pro 🔒
Mehdi LérisM 60%6 of 10 Pro 🔒
SSC Napoli
Mathías OliveraD 60%6 of 10 Pro 🔒

Pisa
No Pisa player in this window.
SSC Napoli
Scott McTominayM 40%4 of 10 Stats only
Alisson SantosF 30%3 of 10 Stats only

Pisa
Adrian ŠemperG 70%7 of 10 Stats only
SSC Napoli
No SSC Napoli 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
Francesco Fourneau refereed this match 4.28cards a gameleague 4.19 40games
Francesco Fourneau'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.