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SharpXI©
Player stats 25/26

Pisa v Juventus

Your slip follows you between games.

How often each Pisa and Juventus 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 Juventus: Kenan Yıldız (Juventus) 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
Giovanni BonfantiD 78%7 of 9 Pro 🔒
Antonio CaraccioloD 70%7 of 10 Pro 🔒
Stefano MoreoF 70%7 of 10 Pro 🔒
LorranM 60%3 of 5 Pro 🔒
Juventus
Kenan YıldızF 100%10 of 10 Pro 🔒
Manuel LocatelliM 80%8 of 10 Pro 🔒
Weston McKennieM 80%8 of 10 Pro 🔒
Edon ZhegrovaF 80%8 of 10 Pro 🔒
Khéphren ThuramM 70%7 of 10 Pro 🔒
Teun KoopmeinersF 60%6 of 10 Pro 🔒
Loïs OpendaF 60%6 of 10 Pro 🔒
Andrea CambiasoM 60%6 of 10 Pro 🔒

Pisa
No Pisa player in this window.
Juventus
Kenan YıldızF 70%7 of 10 Pro 🔒

Pisa
No Pisa player in this window.
Juventus
Kenan YıldızF 70%7 of 10 Pro 🔒

Pisa
Arturo CalabresiD 80%8 of 10 Pro 🔒
Malthe HøjholtM 75%3 of 4 Pro 🔒
Stefano MoreoF 70%7 of 10 Pro 🔒
Marius MarinM 70%7 of 10 Pro 🔒
Idrissa TouréM 70%7 of 10 Pro 🔒
Michel AebischerM 70%7 of 10 Pro 🔒
Isak VuralM 62%5 of 8 Pro 🔒
Juventus
Manuel LocatelliM 80%8 of 10 Pro 🔒
Teun KoopmeinersF 80%8 of 10 Pro 🔒
Khéphren ThuramM 80%8 of 10 Pro 🔒
Lloyd KellyD 70%7 of 10 Pro 🔒
Weston McKennieM 70%7 of 10 Pro 🔒
BremerD 70%7 of 10 Pro 🔒
Pierre KaluluD 70%7 of 10 Pro 🔒
Kenan YıldızF 60%6 of 10 Pro 🔒
Edon ZhegrovaF 60%6 of 10 Pro 🔒
Andrea CambiasoM 60%6 of 10 Pro 🔒

Pisa
Michel AebischerM 60%6 of 10 Pro 🔒
Juventus
Manuel LocatelliM 70%7 of 10 Pro 🔒
Khéphren ThuramM 70%7 of 10 Pro 🔒

Pisa
Samuele AngoriM 80%8 of 10 Pro 🔒
Michel AebischerM 80%8 of 10 Pro 🔒
Isak VuralM 75%6 of 8 Pro 🔒
Marius MarinM 70%7 of 10 Pro 🔒
Idrissa TouréM 70%7 of 10 Pro 🔒
Juventus
Kenan YıldızF 90%9 of 10 Pro 🔒
Manuel LocatelliM 70%7 of 10 Pro 🔒
Loïs OpendaF 70%7 of 10 Pro 🔒
Edon ZhegrovaF 70%7 of 10 Pro 🔒
Fabio MirettiM 60%6 of 10 Pro 🔒

Pisa
Isak VuralM 75%6 of 8 Pro 🔒
Juventus
Kenan YıldızF 60%6 of 10 Pro 🔒

Pisa
Michel AebischerM 90%9 of 10 Pro 🔒
Antonio CaraccioloD 80%8 of 10 Pro 🔒
Idrissa TouréM 80%8 of 10 Pro 🔒
Giovanni BonfantiD 78%7 of 9 Pro 🔒
Marius MarinM 70%7 of 10 Pro 🔒
Samuele AngoriM 60%6 of 10 Pro 🔒
Mehdi LérisM 60%6 of 10 Pro 🔒
Matteo TramoniF 60%6 of 10 Pro 🔒
Juventus
Manuel LocatelliM 100%10 of 10 Pro 🔒
Pierre KaluluD 90%9 of 10 Pro 🔒
Lloyd KellyD 80%8 of 10 Pro 🔒
Andrea CambiasoM 80%8 of 10 Pro 🔒
BremerD 70%7 of 10 Pro 🔒
Khéphren ThuramM 70%7 of 10 Pro 🔒
Filip KostićM 60%6 of 10 Pro 🔒
Weston McKennieM 60%6 of 10 Pro 🔒

Pisa
Antonio CaraccioloD 70%7 of 10 Pro 🔒
Juventus
Manuel LocatelliM 80%8 of 10 Pro 🔒

Pisa
Antonio CaraccioloD 60%6 of 10 Pro 🔒
Juventus
No Juventus player in this window.

Pisa
No Pisa player in this window.
Juventus
Kenan YıldızF 30%3 of 10 Stats only

Pisa
Adrian ŠemperG 70%7 of 10 Stats only
Juventus
Michele Di GregorioG 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+28% cards vs the league average
Fabio Maresca refereed this match 5.35cards a gameleague 4.19 52games
Fabio Maresca'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.