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SharpXI©
Player stats 22/23

Sampdoria v Torino

Your slip follows you between games.

How often each Sampdoria and Torino 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 Sampdoria v Torino: Manolo Gabbiadini (Sampdoria) leads the home side for 1+ shots on target — 6 of 10 (60%); Antonio Sanabria (Torino) tops the visitors on 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.

Sampdoria
Manolo GabbiadiniF 80%8 of 10 Pro 🔒
Sam LammersF 70%7 of 10 Pro 🔒
Michaël CuisanceF 70%7 of 10 Pro 🔒
Torino
Antonio SanabriaF 90%9 of 10 Pro 🔒
Aleksey MiranchukM 70%7 of 10 Pro 🔒
Wilfried SingoM 70%7 of 10 Pro 🔒
Mërgim VojvodaM 60%6 of 10 Pro 🔒
Ivan IlićM 60%6 of 10 Pro 🔒

Sampdoria
Manolo GabbiadiniF 60%6 of 10 Pro 🔒
Torino
Antonio SanabriaF 70%7 of 10 Pro 🔒

Sampdoria
Manolo GabbiadiniF 60%6 of 10 Pro 🔒
Torino
Antonio SanabriaF 70%7 of 10 Pro 🔒

Sampdoria
Tomás RincónM 80%8 of 10 Pro 🔒
Bram NuytinckD 80%8 of 10 Pro 🔒
Bruno AmioneD 80%8 of 10 Pro 🔒
Koray GünterD 60%6 of 10 Pro 🔒
Harry WinksM 60%6 of 10 Pro 🔒
Sam LammersF 60%6 of 10 Pro 🔒
Michaël CuisanceF 60%6 of 10 Pro 🔒
Torino
Ricardo RodríguezD 70%7 of 10 Pro 🔒
Wilfried SingoM 70%7 of 10 Pro 🔒
Antonio SanabriaF 60%6 of 10 Pro 🔒
Nikola VlašićF 60%6 of 10 Pro 🔒
Pietro PellegriF 60%6 of 10 Pro 🔒

Sampdoria
No Sampdoria player in this window.
Torino

Sampdoria
Manolo GabbiadiniF 80%8 of 10 Pro 🔒
Sam LammersF 80%8 of 10 Pro 🔒
Bruno AmioneD 70%7 of 10 Pro 🔒
Tommaso AugelloM 60%6 of 10 Pro 🔒
Torino
Samuele RicciM 90%9 of 10 Pro 🔒
Wilfried SingoM 90%9 of 10 Pro 🔒
Ivan IlićM 80%8 of 10 Pro 🔒
Antonio SanabriaF 70%7 of 10 Pro 🔒

Sampdoria
Manolo GabbiadiniF 60%6 of 10 Pro 🔒
Torino
No Torino player in this window.

Sampdoria
Bruno AmioneD 100%10 of 10 Pro 🔒
Bram NuytinckD 90%9 of 10 Pro 🔒
Tomás RincónM 80%8 of 10 Pro 🔒
Harry WinksM 70%7 of 10 Pro 🔒
Michaël CuisanceF 70%7 of 10 Pro 🔒
Manolo GabbiadiniF 60%6 of 10 Pro 🔒
Torino
Ricardo RodríguezD 90%9 of 10 Pro 🔒
Perr SchuursD 90%9 of 10 Pro 🔒
Nikola VlašićF 70%7 of 10 Pro 🔒
Ivan IlićM 70%7 of 10 Pro 🔒
Koffi DjidjiD 60%6 of 10 Pro 🔒
Samuele RicciM 60%6 of 10 Pro 🔒

Sampdoria
Bram NuytinckD 70%7 of 10 Pro 🔒
Bruno AmioneD 60%6 of 10 Pro 🔒
Torino
Perr SchuursD 60%6 of 10 Pro 🔒

Sampdoria
Bram NuytinckD 60%6 of 10 Pro 🔒
Torino
No Torino player in this window.

Sampdoria
No Sampdoria player in this window.
Torino
Antonio SanabriaF 60%6 of 10 Stats only

Sampdoria
No Sampdoria player in this window.
Torino
Valentino LazaroD 30%3 of 10 Stats only
Aleksey MiranchukM 30%3 of 10 Stats only

Sampdoria
Nicola RavagliaG 80%4 of 5 Stats only
Torino
No Torino player in this window.

Sampdoria
Nicola RavagliaG 80%4 of 5 Stats only
Torino
No Torino player in this window.

Sampdoria
Nicola RavagliaG 80%4 of 5 Stats only
Torino
No Torino 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
Giacomo Camplone refereed this match

4 matches on record — too few to quote a card rate against. See the 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.