Updated daily through the season. Spot something off? Tell usUpdated daily. Tell us
SharpXI©
Player stats 25/26

Pisa v Lecce

Your slip follows you between games.

How often each Pisa and Lecce 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 Lecce: Antonio Caracciolo (Pisa) leads the home side for 1+ shots — 7 of 10 (70%); Ylber Ramadani (Lecce) tops the visitors on 10 of 10 (100%). 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 🔒
Lecce
Ylber RamadaniM 100%10 of 10 Pro 🔒
Lameck BandaM 90%9 of 10 Pro 🔒
Lassana CoulibalyM 70%7 of 10 Pro 🔒
Walid CheddiraF 70%7 of 10 Pro 🔒
Francesco CamardaF 60%6 of 10 Pro 🔒
Santiago PierottiM 60%6 of 10 Pro 🔒

Pisa
Rosen BozhinovD 83%5 of 6 Pro 🔒
Antonio CaraccioloD 80%8 of 10 Pro 🔒
Simone CanestrelliD 80%8 of 10 Pro 🔒
Michel AebischerM 70%7 of 10 Pro 🔒
Mehdi LérisM 70%7 of 10 Pro 🔒
Rafiu DurosinmiF 60%6 of 10 Pro 🔒
Isak VuralM 60%6 of 10 Pro 🔒
Lecce
Danilo VeigaD 80%8 of 10 Pro 🔒
Lameck BandaM 80%8 of 10 Pro 🔒
Walid CheddiraF 80%8 of 10 Pro 🔒
Santiago PierottiM 80%8 of 10 Pro 🔒
Oumar NgomM 70%7 of 10 Pro 🔒
Omri GandelmanM 60%6 of 10 Pro 🔒
Gaby JeanD 60%6 of 10 Pro 🔒
Ylber RamadaniM 60%6 of 10 Pro 🔒

Pisa
Rosen BozhinovD 67%4 of 6 Pro 🔒
Lecce
Santiago PierottiM 70%7 of 10 Pro 🔒

Pisa
Samuele AngoriM 80%8 of 10 Pro 🔒
Isak VuralM 80%8 of 10 Pro 🔒
Michel AebischerM 80%8 of 10 Pro 🔒
Simone CanestrelliD 70%7 of 10 Pro 🔒
Juan CuadradoM 60%6 of 10 Pro 🔒
Lecce
Ylber RamadaniM 100%10 of 10 Pro 🔒
Danilo VeigaD 90%9 of 10 Pro 🔒
Lameck BandaM 90%9 of 10 Pro 🔒
Lassana CoulibalyM 80%8 of 10 Pro 🔒
Tiago GabrielD 70%7 of 10 Pro 🔒
Walid CheddiraF 60%6 of 10 Pro 🔒

Pisa
Isak VuralM 80%8 of 10 Pro 🔒
Samuele AngoriM 70%7 of 10 Pro 🔒
Lecce
Lameck BandaM 80%8 of 10 Pro 🔒
Lassana CoulibalyM 60%6 of 10 Pro 🔒

Pisa
Antonio CaraccioloD 100%10 of 10 Pro 🔒
Michel AebischerM 90%9 of 10 Pro 🔒
Samuele AngoriM 70%7 of 10 Pro 🔒
Mehdi LérisM 70%7 of 10 Pro 🔒
Gabriele PiccininiM 70%7 of 10 Pro 🔒
Lecce
Danilo VeigaD 100%10 of 10 Pro 🔒
Lassana CoulibalyM 90%9 of 10 Pro 🔒
Ylber RamadaniM 90%9 of 10 Pro 🔒
Santiago PierottiM 90%9 of 10 Pro 🔒
Jamil SiebertD 80%8 of 10 Pro 🔒
Tiago GabrielD 80%8 of 10 Pro 🔒
Oumar NgomM 70%7 of 10 Pro 🔒
Antonino GalloD 70%7 of 10 Pro 🔒
Lameck BandaM 60%6 of 10 Pro 🔒

Pisa
Antonio CaraccioloD 80%8 of 10 Pro 🔒
Michel AebischerM 60%6 of 10 Pro 🔒
Mehdi LérisM 60%6 of 10 Pro 🔒
Lecce
Santiago PierottiM 90%9 of 10 Pro 🔒
Ylber RamadaniM 80%8 of 10 Pro 🔒
Danilo VeigaD 70%7 of 10 Pro 🔒
Lassana CoulibalyM 60%6 of 10 Pro 🔒

Pisa
No Pisa player in this window.
Lecce
Santiago PierottiM 70%7 of 10 Pro 🔒

Pisa
No Pisa player in this window.
Lecce
Antonino GalloD 30%3 of 10 Stats only

Pisa
Adrian ŠemperG 70%7 of 10 Stats only
Lecce
No Lecce 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-20% cards vs the league average
Daniele Doveri refereed this match 3.34cards a gameleague 4.19 70games
Daniele Doveri'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.