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Player stats 25/26

Pisa v Fiorentina

Your slip follows you between games.

How often each Pisa and Fiorentina 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 Fiorentina: Rolando Mandragora (Fiorentina) tops the visitors for 1+ shots on target — 8 of 10 (80%). 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
Giovanni BonfantiD 75%3 of 4 Pro 🔒
Matteo TramoniF 75%3 of 4 Pro 🔒
M'bala NzolaF 70%7 of 10 Pro 🔒
Michel AebischerM 60%6 of 10 Pro 🔒
Fiorentina
Moise KeanF 100%10 of 10 Pro 🔒
Rolando MandragoraM 90%9 of 10 Pro 🔒
Roberto PiccoliF 90%9 of 10 Pro 🔒
Albert GuðmundssonF 70%7 of 10 Pro 🔒
DodôM 70%7 of 10 Pro 🔒
Jacopo FazziniF 60%6 of 10 Pro 🔒
Edin DžekoF 60%6 of 10 Pro 🔒

Pisa
No Pisa player in this window.
Fiorentina
Moise KeanF 90%9 of 10 Pro 🔒
Rolando MandragoraM 80%8 of 10 Pro 🔒
Roberto PiccoliF 60%6 of 10 Pro 🔒

Pisa
No Pisa player in this window.
Fiorentina
Moise KeanF 70%7 of 10 Pro 🔒
Roberto PiccoliF 60%6 of 10 Pro 🔒

Pisa
No Pisa player in this window.
Fiorentina
Rolando MandragoraM 80%8 of 10 Pro 🔒
Roberto PiccoliF 80%8 of 10 Pro 🔒

Pisa
Antonio CaraccioloD 100%4 of 4 Pro 🔒
Matteo TramoniF 100%4 of 4 Pro 🔒
Marius MarinM 100%3 of 3 Pro 🔒
M'bala NzolaF 80%8 of 10 Pro 🔒
Giovanni BonfantiD 75%3 of 4 Pro 🔒
Michel AebischerM 70%7 of 10 Pro 🔒
Idrissa TouréM 67%2 of 3 Pro 🔒
Fiorentina
Pablo MaríD 80%8 of 10 Pro 🔒
Roberto PiccoliF 80%8 of 10 Pro 🔒
Moise KeanF 70%7 of 10 Pro 🔒
Marin PongračićD 70%7 of 10 Pro 🔒
Luca RanieriD 70%7 of 10 Pro 🔒
Robin GosensM 60%6 of 10 Pro 🔒

Pisa
Giovanni BonfantiD 75%3 of 4 Pro 🔒
Marius MarinM 67%2 of 3 Pro 🔒
Fiorentina
Marin PongračićD 70%7 of 10 Pro 🔒

Pisa
No Pisa player in this window.
Fiorentina
Marin PongračićD 60%6 of 10 Pro 🔒

Pisa
Michel AebischerM 80%8 of 10 Pro 🔒
Giovanni BonfantiD 75%3 of 4 Pro 🔒
Juan CuadradoM 70%7 of 10 Pro 🔒
Marius MarinM 67%2 of 3 Pro 🔒
Idrissa TouréM 67%2 of 3 Pro 🔒
Fiorentina
Rolando MandragoraM 80%8 of 10 Pro 🔒
DodôM 80%8 of 10 Pro 🔒
Moise KeanF 80%8 of 10 Pro 🔒
Simon SohmM 80%8 of 10 Pro 🔒
Jacopo FazziniF 70%7 of 10 Pro 🔒
Luca RanieriD 70%7 of 10 Pro 🔒
Roberto PiccoliF 70%7 of 10 Pro 🔒
Robin GosensM 60%6 of 10 Pro 🔒

Pisa
Marius MarinM 67%2 of 3 Pro 🔒
Idrissa TouréM 67%2 of 3 Pro 🔒
Fiorentina
Rolando MandragoraM 60%6 of 10 Pro 🔒
DodôM 60%6 of 10 Pro 🔒
Moise KeanF 60%6 of 10 Pro 🔒

Pisa
Antonio CaraccioloD 100%4 of 4 Pro 🔒
Michel AebischerM 90%9 of 10 Pro 🔒
Giovanni BonfantiD 75%3 of 4 Pro 🔒
Matteo TramoniF 75%3 of 4 Pro 🔒
Marius MarinM 67%2 of 3 Pro 🔒
Idrissa TouréM 67%2 of 3 Pro 🔒
Juan CuadradoM 60%6 of 10 Pro 🔒
Fiorentina
Luca RanieriD 90%9 of 10 Pro 🔒
Rolando MandragoraM 80%8 of 10 Pro 🔒
Pablo MaríD 70%7 of 10 Pro 🔒
Robin GosensM 70%7 of 10 Pro 🔒
DodôM 70%7 of 10 Pro 🔒
Jacopo FazziniF 60%6 of 10 Pro 🔒
Simon SohmM 60%6 of 10 Pro 🔒

Pisa
Antonio CaraccioloD 100%4 of 4 Pro 🔒
Michel AebischerM 60%6 of 10 Pro 🔒
Fiorentina
Luca RanieriD 60%6 of 10 Pro 🔒

Pisa
No Pisa player in this window.
Fiorentina
Jacopo FazziniF 40%4 of 10 Stats only
Rolando MandragoraM 40%4 of 10 Stats only
Moise KeanF 40%4 of 10 Stats only
Roberto PiccoliF 30%3 of 10 Stats only

Pisa
Adrian ŠemperG 75%3 of 4 Stats only
Fiorentina
David De GeaG 60%6 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-16% cards vs the league average
Gianluca Manganiello refereed this match 3.51cards a gameleague 4.19 47games
Gianluca Manganiello'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.