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Player stats 26/27

Torino v AC Milan

Your slip follows you between games.

How often each Torino 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 Torino v AC Milan: Giovanni Simeone (Torino) leads the home side for 1+ shots on target — 6 of 10 (60%); Alphadjo Cissè (AC Milan) tops the visitors on 2 of 3 (67%). 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.

Torino
Gvidas GineitisM 90%9 of 10 Pro 🔒
Giovanni SimeoneF 90%9 of 10 Pro 🔒
Nikola VlašićF 80%8 of 10 Pro 🔒
AC Milan
Alexis SaelemaekersF 80%8 of 10 Pro 🔒
Gonçalo RamosFform earned at Paris Saint-Germain 80%8 of 10 Pro 🔒
Adrien RabiotM 70%7 of 10 Pro 🔒
Strahinja PavlovićD 70%7 of 10 Pro 🔒
Alphadjo CissèFform earned at Hellas Verona 67%2 of 3 Pro 🔒
Davide BartesaghiD 60%6 of 10 Pro 🔒
Luka ModrićM 60%6 of 10 Pro 🔒
Samuel ChukwuezeMform earned at Fulham 60%6 of 10 Pro 🔒

Torino
Giovanni SimeoneF 80%8 of 10 Pro 🔒
Gvidas GineitisM 60%6 of 10 Pro 🔒
AC Milan
Gonçalo RamosFform earned at Paris Saint-Germain 60%6 of 10 Pro 🔒

Torino
Giovanni SimeoneF 70%7 of 10 Pro 🔒
AC Milan
No AC Milan player in this window.

Torino
Giovanni SimeoneF 60%6 of 10 Pro 🔒
AC Milan
Alphadjo CissèFform earned at Hellas Verona 67%2 of 3 Pro 🔒

Torino
Cesare CasadeiF 80%8 of 10 Pro 🔒
Gvidas GineitisM 80%8 of 10 Pro 🔒
Nikola VlašićF 70%7 of 10 Pro 🔒
Che AdamsF 70%7 of 10 Pro 🔒
Saúl CocoD 60%6 of 10 Pro 🔒
Zakaria AboukhlalF 60%6 of 10 Pro 🔒
AC Milan
Strahinja PavlovićD 80%8 of 10 Pro 🔒
Adrien RabiotM 70%7 of 10 Pro 🔒
Pervis EstupiñánM 70%7 of 10 Pro 🔒
Alexis SaelemaekersF 70%7 of 10 Pro 🔒
Alphadjo CissèFform earned at Hellas Verona 67%2 of 3 Pro 🔒
Koni De WinterD 60%6 of 10 Pro 🔒
Ardon JashariM 60%6 of 10 Pro 🔒
Ruben Loftus-CheekF 60%6 of 10 Pro 🔒
Matteo GabbiaD 60%6 of 10 Pro 🔒

Torino
Giovanni SimeoneF 90%9 of 10 Pro 🔒
Gvidas GineitisM 70%7 of 10 Pro 🔒
Niccolò FortiniDform earned at Fiorentina 70%7 of 10 Pro 🔒
Ardian IsmajliD 70%7 of 10 Pro 🔒
Nikola VlašićF 60%6 of 10 Pro 🔒
Zakaria AboukhlalF 60%6 of 10 Pro 🔒
AC Milan
Adrien RabiotM 100%10 of 10 Pro 🔒
Luka ModrićM 80%8 of 10 Pro 🔒
Alexis SaelemaekersF 70%7 of 10 Pro 🔒
Ruben Loftus-CheekF 60%6 of 10 Pro 🔒
Gonçalo RamosFform earned at Paris Saint-Germain 60%6 of 10 Pro 🔒

Torino
No Torino player in this window.
AC Milan
Adrien RabiotM 80%8 of 10 Pro 🔒

Torino
Gvidas GineitisM 100%10 of 10 Pro 🔒
Nikola VlašićF 90%9 of 10 Pro 🔒
Cesare CasadeiF 70%7 of 10 Pro 🔒
Saúl CocoD 70%7 of 10 Pro 🔒
Ardian IsmajliD 70%7 of 10 Pro 🔒
Zakaria AboukhlalF 70%7 of 10 Pro 🔒
AC Milan
Alexis SaelemaekersF 100%10 of 10 Pro 🔒
Koni De WinterD 90%9 of 10 Pro 🔒
Adrien RabiotM 90%9 of 10 Pro 🔒
Strahinja PavlovićD 90%9 of 10 Pro 🔒
Luka ModrićM 70%7 of 10 Pro 🔒
Mario GilaDform earned at Lazio 70%7 of 10 Pro 🔒
Ardon JashariM 60%6 of 10 Pro 🔒
Matteo GabbiaD 60%6 of 10 Pro 🔒

Torino
Nikola VlašićF 70%7 of 10 Pro 🔒
Saúl CocoD 60%6 of 10 Pro 🔒
AC Milan
Alexis SaelemaekersF 80%8 of 10 Pro 🔒
Adrien RabiotM 60%6 of 10 Pro 🔒
Strahinja PavlovićD 60%6 of 10 Pro 🔒

Torino
No Torino player in this window.
AC Milan
Alphadjo CissèFform earned at Hellas Verona 67%2 of 3 Pro 🔒

Torino
Giovanni SimeoneF 50%5 of 10 Stats only
Cesare CasadeiF 30%3 of 10 Stats only
AC Milan
No AC Milan 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-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.