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Player stats 25/26

Pisa v AC Milan

Your slip follows you between games.

How often each Pisa and AC Milan 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 AC Milan: Christopher Nkunku (AC Milan) tops the visitors 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.

Pisa
Stefano MoreoF 90%9 of 10 Pro 🔒
Gabriele PiccininiM 80%8 of 10 Pro 🔒
Idrissa TouréM 70%7 of 10 Pro 🔒
Samuel Iling JuniorFform earned at West Bromwich Albion 70%7 of 10 Pro 🔒
Antonio CaraccioloD 60%6 of 10 Pro 🔒
Mehdi LérisM 60%6 of 10 Pro 🔒
Matteo TramoniF 60%6 of 10 Pro 🔒
AC Milan
Adrien RabiotM 100%10 of 10 Pro 🔒
Christian PulišićM 90%9 of 10 Pro 🔒
Ruben Loftus-CheekF 80%8 of 10 Pro 🔒
Davide BartesaghiM 70%7 of 10 Pro 🔒
Christopher NkunkuF 70%7 of 10 Pro 🔒
Rafael LeãoF 70%7 of 10 Pro 🔒
Youssouf FofanaM 70%7 of 10 Pro 🔒
Niclas FüllkrugF 60%6 of 10 Pro 🔒
Strahinja PavlovićD 60%6 of 10 Pro 🔒

Pisa
Stefano MoreoF 70%7 of 10 Pro 🔒
AC Milan
No AC Milan player in this window.

Pisa
No Pisa player in this window.
AC Milan

Pisa
Rafiu DurosinmiF 100%4 of 4 Pro 🔒
Antonio CaraccioloD 70%7 of 10 Pro 🔒
Stefano MoreoF 70%7 of 10 Pro 🔒
Simone CanestrelliD 70%7 of 10 Pro 🔒
Rosen BozhinovD 67%2 of 3 Pro 🔒
Michel AebischerM 60%6 of 10 Pro 🔒
AC Milan
Ruben Loftus-CheekF 80%8 of 10 Pro 🔒
Fikayo TomoriD 80%8 of 10 Pro 🔒
Matteo GabbiaD 60%6 of 10 Pro 🔒

Pisa
Rafiu DurosinmiF 75%3 of 4 Pro 🔒
AC Milan
No AC Milan player in this window.

Pisa
Samuele AngoriM 80%8 of 10 Pro 🔒
Michel AebischerM 60%6 of 10 Pro 🔒
AC Milan
Adrien RabiotM 100%10 of 10 Pro 🔒
Luka ModrićM 70%7 of 10 Pro 🔒
Christian PulišićM 70%7 of 10 Pro 🔒
Strahinja PavlovićD 70%7 of 10 Pro 🔒
Niclas FüllkrugF 60%6 of 10 Pro 🔒
Ruben Loftus-CheekF 60%6 of 10 Pro 🔒
Christopher NkunkuF 60%6 of 10 Pro 🔒
Rafael LeãoF 60%6 of 10 Pro 🔒

Pisa
Samuele AngoriM 70%7 of 10 Pro 🔒
AC Milan
No AC Milan player in this window.

Pisa
Idrissa TouréM 100%10 of 10 Pro 🔒
Samuele AngoriM 90%9 of 10 Pro 🔒
Michel AebischerM 90%9 of 10 Pro 🔒
Matteo TramoniF 90%9 of 10 Pro 🔒
Antonio CaraccioloD 70%7 of 10 Pro 🔒
Simone CanestrelliD 60%6 of 10 Pro 🔒
AC Milan
Davide BartesaghiM 90%9 of 10 Pro 🔒
Fikayo TomoriD 90%9 of 10 Pro 🔒
Strahinja PavlovićD 90%9 of 10 Pro 🔒
Luka ModrićM 80%8 of 10 Pro 🔒
Adrien RabiotM 70%7 of 10 Pro 🔒
Matteo GabbiaD 70%7 of 10 Pro 🔒
Koni De WinterD 60%6 of 10 Pro 🔒
Ruben Loftus-CheekF 60%6 of 10 Pro 🔒
Youssouf FofanaM 60%6 of 10 Pro 🔒

Pisa
Idrissa TouréM 60%6 of 10 Pro 🔒
Michel AebischerM 60%6 of 10 Pro 🔒
AC Milan
Fikayo TomoriD 80%8 of 10 Pro 🔒
Davide BartesaghiM 60%6 of 10 Pro 🔒

Pisa
No Pisa player in this window.
AC Milan
Fikayo TomoriD 60%6 of 10 Pro 🔒

Pisa
No Pisa player in this window.
AC Milan
Christopher NkunkuF 40%4 of 10 Stats only
Rafael LeãoF 40%4 of 10 Stats only
Adrien RabiotM 30%3 of 10 Stats only
Christian PulišićM 30%3 of 10 Stats only

Pisa
No Pisa player in this window.
AC Milan
Adrien RabiotM 30%3 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
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.