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SharpXI©
Player stats 22/23

Torino v Sampdoria

Your slip follows you between games.

How often each Torino and Sampdoria 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 Sampdoria: Nikola Vlašić (Torino) leads the home side for 1+ shots on target — 6 of 10 (60%). 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
Aleksey MiranchukF 100%7 of 7 Pro 🔒
Nikola VlašićF 90%9 of 10 Pro 🔒
Nemanja RadonjićF 80%8 of 10 Pro 🔒
Sampdoria
Manolo GabbiadiniF 90%9 of 10 Pro 🔒
Valerio VerreM 70%7 of 10 Pro 🔒
Francesco CaputoF 70%7 of 10 Pro 🔒

Torino
Nikola VlašićF 60%6 of 10 Pro 🔒
Sampdoria
No Sampdoria player in this window.

Torino
Nikola VlašićF 60%6 of 10 Pro 🔒
Sampdoria
No Sampdoria player in this window.

Torino
Alessandro BuongiornoD 100%10 of 10 Pro 🔒
Emirhan İlkhanM 100%3 of 3 Pro 🔒
Karol LinettyM 80%8 of 10 Pro 🔒
Nikola VlašićF 80%8 of 10 Pro 🔒
Perr SchuursD 78%7 of 9 Pro 🔒
Samuele RicciM 71%5 of 7 Pro 🔒
Ricardo RodríguezD 60%6 of 10 Pro 🔒
Sampdoria
Gerard YepesM 100%3 of 3 Pro 🔒
Jeison MurilloD 86%6 of 7 Pro 🔒
Alex FerrariD 80%8 of 10 Pro 🔒
Tomás RincónM 70%7 of 10 Pro 🔒
Valerio VerreM 60%6 of 10 Pro 🔒
Omar ColleyD 60%6 of 10 Pro 🔒
Filip ĐuričićM 60%6 of 10 Pro 🔒
Gonzalo VillarM 60%6 of 10 Pro 🔒

Torino
Samuele RicciM 86%6 of 7 Pro 🔒
Demba SeckF 80%4 of 5 Pro 🔒
Wilfried SingoM 67%6 of 9 Pro 🔒
Karol LinettyM 60%6 of 10 Pro 🔒
Sampdoria
Filip ĐuričićM 90%9 of 10 Pro 🔒
Gonzalo VillarM 90%9 of 10 Pro 🔒
Francesco CaputoF 80%8 of 10 Pro 🔒
Jeison MurilloD 71%5 of 7 Pro 🔒
Omar ColleyD 70%7 of 10 Pro 🔒
Manolo GabbiadiniF 60%6 of 10 Pro 🔒

Torino
Samuele RicciM 86%6 of 7 Pro 🔒
Sampdoria
Filip ĐuričićM 60%6 of 10 Pro 🔒

Torino
Perr SchuursD 100%9 of 9 Pro 🔒
Samuele RicciM 71%5 of 7 Pro 🔒
Karol LinettyM 70%7 of 10 Pro 🔒
Nikola VlašićF 70%7 of 10 Pro 🔒
Ricardo RodríguezD 60%6 of 10 Pro 🔒
Sampdoria
Tomás RincónM 80%8 of 10 Pro 🔒
Nicola MurruD 75%3 of 4 Pro 🔒
Filip ĐuričićM 70%7 of 10 Pro 🔒
Gerard YepesM 67%2 of 3 Pro 🔒

Torino
Perr SchuursD 67%6 of 9 Pro 🔒
Sampdoria

Torino
No Torino player in this window.
Sampdoria
Emil AuderoG 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+24% cards vs the league average
Davide Massa refereed this match 5.18cards a gameleague 4.19 68games
Davide Massa'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.