Updated daily through the season. Spot something off? Tell usUpdated daily. Tell us
SharpXI©
Player stats 23/24

AS Roma v Brighton

Your slip follows you between games.

How often each AS Roma and Brighton 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 AS Roma v Brighton: Paulo Dybala (AS Roma) leads the home side for 1+ shots on target — 7 of 10 (70%); Danny Welbeck (Brighton) tops the visitors on 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 25/26 figures from completed matches: Last N is their last N games; Season is their whole 25/26; H2H is only games against this opponent.

AS Roma
Paulo DybalaF 90%9 of 10 Pro 🔒
Stephan El ShaarawyF 80%8 of 10 Pro 🔒
Lorenzo PellegriniM 80%8 of 10 Pro 🔒
Romelu LukakuF 80%8 of 10 Pro 🔒
Bryan CristanteM 60%6 of 10 Pro 🔒
Brighton
Facundo BuonanotteM 80%8 of 10 Pro 🔒
Danny WelbeckF 80%8 of 10 Pro 🔒
Ansu FatiF 80%8 of 10 Pro 🔒
Julio EncisoM 80%8 of 10 Pro 🔒
Simon AdingraM 70%7 of 10 Pro 🔒
Lewis DunkD 70%7 of 10 Pro 🔒
Pascal GroßM 70%7 of 10 Pro 🔒
Billy GilmourM 70%7 of 10 Pro 🔒
Evan FergusonF 60%6 of 10 Pro 🔒

AS Roma
No AS Roma player in this window.
Brighton
Danny WelbeckF 70%7 of 10 Pro 🔒
Julio EncisoM 70%7 of 10 Pro 🔒

AS Roma
Paulo DybalaF 70%7 of 10 Pro 🔒
Brighton
Danny WelbeckF 60%6 of 10 Pro 🔒
Julio EncisoM 60%6 of 10 Pro 🔒

AS Roma
Bryan CristanteM 100%10 of 10 Pro 🔒
Gianluca ManciniD 80%8 of 10 Pro 🔒
Evan NdickaD 80%8 of 10 Pro 🔒
Edoardo BoveM 80%8 of 10 Pro 🔒
Leandro ParedesM 70%7 of 10 Pro 🔒
Diego LlorenteD 60%6 of 10 Pro 🔒
Brighton
Facundo BuonanotteM 100%10 of 10 Pro 🔒
Simon AdingraM 80%8 of 10 Pro 🔒
Carlos BalebaM 80%8 of 10 Pro 🔒
Pervis EstupiñánD 80%8 of 10 Pro 🔒
Igor JúlioD 60%6 of 10 Pro 🔒

AS Roma
Bryan CristanteM 60%6 of 10 Pro 🔒
Brighton
No Brighton player in this window.

AS Roma
Paulo DybalaF 80%8 of 10 Pro 🔒
Edoardo BoveM 80%8 of 10 Pro 🔒
Lorenzo PellegriniM 70%7 of 10 Pro 🔒
Gianluca ManciniD 70%7 of 10 Pro 🔒
Leandro ParedesM 60%6 of 10 Pro 🔒
Stephan El ShaarawyF 60%6 of 10 Pro 🔒
Brighton
Facundo BuonanotteM 90%9 of 10 Pro 🔒
Julio EncisoM 70%7 of 10 Pro 🔒
Pascal GroßM 60%6 of 10 Pro 🔒
Tariq LampteyD 60%6 of 10 Pro 🔒

AS Roma
Paulo DybalaF 60%6 of 10 Pro 🔒
Brighton
Facundo BuonanotteM 60%6 of 10 Pro 🔒

AS Roma
Zeki ÇelikD 90%9 of 10 Pro 🔒
Leandro ParedesM 80%8 of 10 Pro 🔒
Evan NdickaD 70%7 of 10 Pro 🔒
Edoardo BoveM 70%7 of 10 Pro 🔒
Bryan CristanteM 60%6 of 10 Pro 🔒
Stephan El ShaarawyF 60%6 of 10 Pro 🔒
Nicola ZalewskiM 60%6 of 10 Pro 🔒
Brighton
Facundo BuonanotteM 100%10 of 10 Pro 🔒
Pascal GroßM 100%10 of 10 Pro 🔒
Jan Paul van HeckeD 80%8 of 10 Pro 🔒
Simon AdingraM 70%7 of 10 Pro 🔒
Joël VeltmanD 70%7 of 10 Pro 🔒
Danny WelbeckF 70%7 of 10 Pro 🔒
Pervis EstupiñánD 70%7 of 10 Pro 🔒
Lewis DunkD 60%6 of 10 Pro 🔒
Carlos BalebaM 60%6 of 10 Pro 🔒
Igor JúlioD 60%6 of 10 Pro 🔒
Billy GilmourM 60%6 of 10 Pro 🔒
Tariq LampteyD 60%6 of 10 Pro 🔒
Julio EncisoM 60%6 of 10 Pro 🔒

AS Roma
No AS Roma player in this window.
Brighton
Facundo BuonanotteM 60%6 of 10 Pro 🔒
Jan Paul van HeckeD 60%6 of 10 Pro 🔒

AS Roma
Paulo DybalaF 60%6 of 10 Stats only
Lorenzo PellegriniM 40%4 of 10 Stats only
Leandro ParedesM 30%3 of 10 Stats only
Brighton
Simon AdingraM 30%3 of 10 Stats only

AS Roma
Paulo DybalaF 30%3 of 10 Stats only
Brighton
Pascal GroßM 40%4 of 10 Stats only

AS Roma
Mile SvilarG 71%5 of 7 Stats only
Brighton
No Brighton 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
François Letexier refereed this match

9 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.