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SharpXI©
Player stats 22/23

Sampdoria v AS Roma

Your slip follows you between games.

How often each Sampdoria and AS Roma 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 AS Roma: Tammy Abraham (AS Roma) tops the visitors for 1+ shots on target — 8 of 9 (89%). 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 71%5 of 7 Pro 🔒
Valerio VerreM 67%6 of 9 Pro 🔒
Francesco CaputoF 67%6 of 9 Pro 🔒
Abdelhamid SabiriM 67%6 of 9 Pro 🔒
Mehdi LérisM 62%5 of 8 Pro 🔒
AS Roma
Tammy AbrahamF 100%9 of 9 Pro 🔒
Nicolò ZanioloM 100%5 of 5 Pro 🔒
Bryan CristanteM 89%8 of 9 Pro 🔒
Chris SmallingD 67%6 of 9 Pro 🔒
Roger IbañezD 67%6 of 9 Pro 🔒
Edoardo BoveM 67%2 of 3 Pro 🔒

Sampdoria
No Sampdoria player in this window.
AS Roma
Tammy AbrahamF 100%9 of 9 Pro 🔒
Nicolò ZanioloM 80%4 of 5 Pro 🔒

Sampdoria
No Sampdoria player in this window.
AS Roma
Tammy AbrahamF 67%6 of 9 Pro 🔒

Sampdoria
No Sampdoria player in this window.
AS Roma
Tammy AbrahamF 89%8 of 9 Pro 🔒

Sampdoria
Abdelhamid SabiriM 89%8 of 9 Pro 🔒
Mehdi LérisM 88%7 of 8 Pro 🔒
Alex FerrariD 86%6 of 7 Pro 🔒
Filip ĐuričićM 78%7 of 9 Pro 🔒
Tomás RincónM 67%6 of 9 Pro 🔒
Gonzalo VillarM 62%5 of 8 Pro 🔒
AS Roma
Gianluca ManciniD 89%8 of 9 Pro 🔒
Nicolò ZanioloM 80%4 of 5 Pro 🔒
Bryan CristanteM 78%7 of 9 Pro 🔒
Roger IbañezD 78%7 of 9 Pro 🔒
Nemanja MatićM 67%6 of 9 Pro 🔒

Sampdoria
Abdelhamid SabiriM 78%7 of 9 Pro 🔒
AS Roma
No AS Roma player in this window.

Sampdoria
Abdelhamid SabiriM 100%9 of 9 Pro 🔒
Francesco CaputoF 78%7 of 9 Pro 🔒
Filip ĐuričićM 78%7 of 9 Pro 🔒
Omar ColleyD 75%6 of 8 Pro 🔒
Mehdi LérisM 75%6 of 8 Pro 🔒
Gonzalo VillarM 75%6 of 8 Pro 🔒
AS Roma
Nicolò ZanioloM 100%5 of 5 Pro 🔒
Tammy AbrahamF 89%8 of 9 Pro 🔒
Roger IbañezD 89%8 of 9 Pro 🔒
Chris SmallingD 67%6 of 9 Pro 🔒
Andrea BelottiF 67%4 of 6 Pro 🔒
Nicola ZalewskiM 67%4 of 6 Pro 🔒

Sampdoria
No Sampdoria player in this window.
AS Roma
Nicolò ZanioloM 80%4 of 5 Pro 🔒

Sampdoria
Abdelhamid SabiriM 89%8 of 9 Pro 🔒
Mehdi LérisM 88%7 of 8 Pro 🔒
Tomás RincónM 78%7 of 9 Pro 🔒
Filip ĐuričićM 67%6 of 9 Pro 🔒
AS Roma
Rick KarsdorpD 100%4 of 4 Pro 🔒
Bryan CristanteM 89%8 of 9 Pro 🔒
Nemanja MatićM 89%8 of 9 Pro 🔒
Roger IbañezD 89%8 of 9 Pro 🔒
Gianluca ManciniD 78%7 of 9 Pro 🔒

Sampdoria
No Sampdoria player in this window.
AS Roma
Bryan CristanteM 78%7 of 9 Pro 🔒
Roger IbañezD 78%7 of 9 Pro 🔒

Sampdoria
No Sampdoria player in this window.
AS Roma
Bryan CristanteM 67%6 of 9 Pro 🔒

Sampdoria
No Sampdoria player in this window.
AS Roma
Chris SmallingD 33%3 of 9 Stats only

Sampdoria
No Sampdoria player in this window.
AS Roma
Lorenzo PellegriniF 44%4 of 9 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-13% cards vs the league average
Marco Di Bello refereed this match 3.63cards a gameleague 4.19 52games
Marco Di Bello'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.