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SharpXI©
Player stats 25/26

AC Milan v Pisa

Your slip follows you between games.

How often each AC Milan and Pisa 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 AC Milan v Pisa: Santiago Giménez (AC Milan) leads the home side for 1+ shots on target — 7 of 10 (70%). 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.

AC Milan
Rafael LeãoF 90%9 of 10 Pro 🔒
Alexis SaelemaekersM 90%9 of 10 Pro 🔒
Santiago GiménezF 70%7 of 10 Pro 🔒
Christopher NkunkuF 60%6 of 10 Pro 🔒
Youssouf FofanaM 60%6 of 10 Pro 🔒
Pisa
Giovanni BonfantiM 71%5 of 7 Pro 🔒
M'bala NzolaF 60%6 of 10 Pro 🔒
Idrissa TouréM 60%3 of 5 Pro 🔒

AC Milan
Rafael LeãoF 60%6 of 10 Pro 🔒
Santiago GiménezF 60%6 of 10 Pro 🔒
Pisa
No Pisa player in this window.

AC Milan
Santiago GiménezF 70%7 of 10 Pro 🔒
Rafael LeãoF 60%6 of 10 Pro 🔒
Pisa
No Pisa player in this window.

AC Milan
Rafael LeãoF 70%7 of 10 Pro 🔒
Zachary AthekameD 67%2 of 3 Pro 🔒
Koni De WinterD 60%6 of 10 Pro 🔒
Christopher NkunkuF 60%6 of 10 Pro 🔒
Pisa
M'bala NzolaF 80%8 of 10 Pro 🔒
Idrissa TouréM 80%4 of 5 Pro 🔒
Matteo TramoniM 71%5 of 7 Pro 🔒
Raúl AlbiolD 70%7 of 10 Pro 🔒
Juan CuadradoM 60%6 of 10 Pro 🔒
Michel AebischerM 60%6 of 10 Pro 🔒

AC Milan
Alexis SaelemaekersM 90%9 of 10 Pro 🔒
Rafael LeãoF 80%8 of 10 Pro 🔒
Samuele RicciM 70%7 of 10 Pro 🔒
Luka ModrićM 60%6 of 10 Pro 🔒
Pisa
Juan CuadradoM 70%7 of 10 Pro 🔒
Michel AebischerM 70%7 of 10 Pro 🔒
Stefano MoreoF 67%4 of 6 Pro 🔒
Idrissa TouréM 60%3 of 5 Pro 🔒

AC Milan
Luka ModrićM 80%8 of 10 Pro 🔒
Alexis SaelemaekersM 80%8 of 10 Pro 🔒
Davide BartesaghiM 70%7 of 10 Pro 🔒
Strahinja PavlovićD 70%7 of 10 Pro 🔒
Pisa
Michel AebischerM 90%9 of 10 Pro 🔒
Giovanni BonfantiM 86%6 of 7 Pro 🔒
Juan CuadradoM 80%8 of 10 Pro 🔒
Idrissa TouréM 80%4 of 5 Pro 🔒
Matteo TramoniM 71%5 of 7 Pro 🔒

AC Milan
Alexis SaelemaekersM 70%7 of 10 Pro 🔒
Pisa
Michel AebischerM 60%6 of 10 Pro 🔒

AC Milan
Rafael LeãoF 30%3 of 10 Stats only
Pisa
No Pisa player in this window.

AC Milan
Luka ModrićM 30%3 of 10 Stats only
Pisa
No Pisa player in this window.

AC Milan
No AC Milan player in this window.
Pisa
Adrian ŠemperG 71%5 of 7 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-31% cards vs the league average
Luca Zufferli refereed this match 2.89cards a gameleague 4.19 44games
Luca Zufferli'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.