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SharpXI©
Player stats 25/26

Inter v Pisa

Your slip follows you between games.

How often each Inter 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 Inter v Pisa: Lautaro Martínez (Inter) leads the home side for 1+ shots on target — 9 of 10 (90%). 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.

Inter
Lautaro MartínezF 100%10 of 10 Pro 🔒
Marcus ThuramF 90%9 of 10 Pro 🔒
Yann BisseckD 80%8 of 10 Pro 🔒
Ange-Yoan BonnyF 70%7 of 10 Pro 🔒
Federico DimarcoD 70%7 of 10 Pro 🔒
Nicolò BarellaM 70%7 of 10 Pro 🔒
Henrikh MkhitaryanM 70%7 of 10 Pro 🔒
Francesco Pio EspositoF 60%6 of 10 Pro 🔒
Pisa
Gabriele PiccininiM 80%8 of 10 Pro 🔒
Stefano MoreoF 70%7 of 10 Pro 🔒
Idrissa TouréM 60%6 of 10 Pro 🔒
Mehdi LérisM 60%6 of 10 Pro 🔒

Inter
Lautaro MartínezF 80%8 of 10 Pro 🔒
Marcus ThuramF 60%6 of 10 Pro 🔒
Pisa
No Pisa player in this window.

Inter
Lautaro MartínezF 70%7 of 10 Pro 🔒
Pisa
No Pisa player in this window.

Inter
Lautaro MartínezF 90%9 of 10 Pro 🔒
Marcus ThuramF 80%8 of 10 Pro 🔒
Federico DimarcoD 70%7 of 10 Pro 🔒
Yann BisseckD 60%6 of 10 Pro 🔒
Pisa
No Pisa player in this window.

Inter
Lautaro MartínezF 70%7 of 10 Pro 🔒
Pisa
No Pisa player in this window.

Inter
Marcus ThuramF 90%9 of 10 Pro 🔒
Lautaro MartínezF 90%9 of 10 Pro 🔒
Alessandro BastoniD 90%9 of 10 Pro 🔒
Yann BisseckD 90%9 of 10 Pro 🔒
Federico DimarcoD 70%7 of 10 Pro 🔒
Henrikh MkhitaryanM 70%7 of 10 Pro 🔒
Manuel AkanjiD 70%7 of 10 Pro 🔒
Francesco Pio EspositoF 60%6 of 10 Pro 🔒
Nicolò BarellaM 60%6 of 10 Pro 🔒
Carlos AugustoM 60%6 of 10 Pro 🔒
Pisa
Francesco CoppolaD 100%3 of 3 Pro 🔒
Arturo CalabresiD 90%9 of 10 Pro 🔒
Michel AebischerM 80%8 of 10 Pro 🔒
Stefano MoreoF 70%7 of 10 Pro 🔒
Marius MarinM 70%7 of 10 Pro 🔒
Simone CanestrelliD 60%6 of 10 Pro 🔒

Inter
Marcus ThuramF 70%7 of 10 Pro 🔒
Pisa
Francesco CoppolaD 67%2 of 3 Pro 🔒

Inter
Lautaro MartínezF 90%9 of 10 Pro 🔒
Marcus ThuramF 80%8 of 10 Pro 🔒
Nicolò BarellaM 70%7 of 10 Pro 🔒
Ange-Yoan BonnyF 60%6 of 10 Pro 🔒
Francesco Pio EspositoF 60%6 of 10 Pro 🔒
Federico DimarcoD 60%6 of 10 Pro 🔒
Manuel AkanjiD 60%6 of 10 Pro 🔒
Alessandro BastoniD 60%6 of 10 Pro 🔒
Yann BisseckD 60%6 of 10 Pro 🔒
Pisa
Samuele AngoriM 90%9 of 10 Pro 🔒
Marius MarinM 80%8 of 10 Pro 🔒
Michel AebischerM 70%7 of 10 Pro 🔒
Mehdi LérisM 70%7 of 10 Pro 🔒
Francesco CoppolaD 67%2 of 3 Pro 🔒
Arturo CalabresiD 60%6 of 10 Pro 🔒
Gabriele PiccininiM 60%6 of 10 Pro 🔒

Inter
Marcus ThuramF 60%6 of 10 Pro 🔒
Pisa
No Pisa player in this window.

Inter
Alessandro BastoniD 100%10 of 10 Pro 🔒
Henrikh MkhitaryanM 80%8 of 10 Pro 🔒
Manuel AkanjiD 80%8 of 10 Pro 🔒
Federico DimarcoD 70%7 of 10 Pro 🔒
Nicolò BarellaM 70%7 of 10 Pro 🔒
Lautaro MartínezF 70%7 of 10 Pro 🔒
Yann BisseckD 70%7 of 10 Pro 🔒
Carlos AugustoM 70%7 of 10 Pro 🔒
Marcus ThuramF 60%6 of 10 Pro 🔒
Luís HenriqueM 60%6 of 10 Pro 🔒
Pisa
Michel AebischerM 90%9 of 10 Pro 🔒
Idrissa TouréM 80%8 of 10 Pro 🔒
Matteo TramoniF 80%8 of 10 Pro 🔒
Samuele AngoriM 70%7 of 10 Pro 🔒
Francesco CoppolaD 67%2 of 3 Pro 🔒
Marius MarinM 60%6 of 10 Pro 🔒

Inter
Alessandro BastoniD 80%8 of 10 Pro 🔒
Pisa
Francesco CoppolaD 67%2 of 3 Pro 🔒

Inter
No Inter player in this window.
Pisa
Francesco CoppolaD 100%3 of 3 Pro 🔒

Inter
Lautaro MartínezF 60%6 of 10 Stats only
Marcus ThuramF 30%3 of 10 Stats only
Pisa
No Pisa player in this window.

Inter
Francesco Pio EspositoF 30%3 of 10 Stats only
Pisa
No Pisa 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+19% cards vs the league average
Matteo Marcenaro refereed this match 4.98cards a gameleague 4.19 46games
Matteo Marcenaro'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.