Updated daily through the season. Spot something off? Tell usUpdated daily. Tell us
SharpXI©
Player stats 26/27

Brighton v Arsenal

Your slip follows you between games.

How often each Brighton and Arsenal 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 Brighton v Arsenal: Pascal Groß (Brighton) leads the home side for 1+ shots on target — 6 of 10 (60%); Bukayo Saka (Arsenal) 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.

Brighton
Diego GómezF 90%9 of 10 Pro 🔒
Pascal GroßM 80%8 of 10 Pro 🔒
Luka VuškovićD 70%7 of 10 Pro 🔒
Ferdi KadıoğluD 70%7 of 10 Pro 🔒
Georginio RutterF 70%7 of 10 Pro 🔒
Arsenal
Bukayo SakaF 100%10 of 10 Pro 🔒
Kai HavertzF 80%8 of 10 Pro 🔒
Bruno GuimarãesM 80%8 of 10 Pro 🔒
Gabriel MagalhãesD 80%8 of 10 Pro 🔒
Eberechi EzeM 70%7 of 10 Pro 🔒
Riccardo CalafioriD 70%7 of 10 Pro 🔒
Max DowmanM 67%4 of 6 Pro 🔒
Christos TzolisF 60%6 of 10 Pro 🔒
Martin ØdegaardM 60%6 of 10 Pro 🔒
Mikel MerinoM 60%6 of 10 Pro 🔒
Viktor GyökeresF 60%6 of 10 Pro 🔒

Brighton
Diego GómezF 70%7 of 10 Pro 🔒
Arsenal
Bukayo SakaF 90%9 of 10 Pro 🔒
Christos TzolisF 60%6 of 10 Pro 🔒
Kai HavertzF 60%6 of 10 Pro 🔒

Brighton
Diego GómezF 60%6 of 10 Pro 🔒
Arsenal
No Arsenal player in this window.

Brighton
Pascal GroßM 60%6 of 10 Pro 🔒
Arsenal
Bukayo SakaF 70%7 of 10 Pro 🔒
Kai HavertzF 60%6 of 10 Pro 🔒
Bruno GuimarãesM 60%6 of 10 Pro 🔒

Brighton
Luka VuškovićD 70%7 of 10 Pro 🔒
Pascal GroßM 70%7 of 10 Pro 🔒
Diego GómezF 60%6 of 10 Pro 🔒
Chema AndrésM 60%6 of 10 Pro 🔒
Ferdi KadıoğluD 60%6 of 10 Pro 🔒
Maxim De CuyperF 60%6 of 10 Pro 🔒
Arsenal
Kai HavertzF 80%8 of 10 Pro 🔒
Bruno GuimarãesM 80%8 of 10 Pro 🔒
Mikel MerinoM 70%7 of 10 Pro 🔒
Gabriel MagalhãesD 70%7 of 10 Pro 🔒
Bukayo SakaF 70%7 of 10 Pro 🔒
Jurriën TimberD 70%7 of 10 Pro 🔒
Christos TzolisF 60%6 of 10 Pro 🔒
Martín ZubimendiM 60%6 of 10 Pro 🔒

Brighton
Diego GómezF 60%6 of 10 Pro 🔒
Arsenal
No Arsenal player in this window.

Brighton
Olivier BoscagliD 80%8 of 10 Pro 🔒
Malick YalcouyéM 70%7 of 10 Pro 🔒
Ferdi KadıoğluD 60%6 of 10 Pro 🔒
Arsenal
Bruno GuimarãesM 90%9 of 10 Pro 🔒
Max DowmanM 83%5 of 6 Pro 🔒
Eberechi EzeM 80%8 of 10 Pro 🔒
Christos TzolisF 70%7 of 10 Pro 🔒
Gabriel MagalhãesD 70%7 of 10 Pro 🔒
David RayaG 60%6 of 10 Pro 🔒
Ezri KonsaD 60%6 of 10 Pro 🔒
Bukayo SakaF 60%6 of 10 Pro 🔒
Jurriën TimberD 60%6 of 10 Pro 🔒

Brighton
No Brighton player in this window.
Arsenal
Bruno GuimarãesM 90%9 of 10 Pro 🔒

Brighton
No Brighton player in this window.
Arsenal
Bruno GuimarãesM 60%6 of 10 Pro 🔒

Brighton
Michael SvobodaDform earned at Venezia 80%8 of 10 Pro 🔒
Georginio RutterF 80%8 of 10 Pro 🔒
Diego GómezF 70%7 of 10 Pro 🔒
Pascal GroßM 70%7 of 10 Pro 🔒
Olivier BoscagliD 70%7 of 10 Pro 🔒
Pascal StruijkD 70%7 of 10 Pro 🔒
Luka VuškovićD 60%6 of 10 Pro 🔒
Chema AndrésM 60%6 of 10 Pro 🔒
Maxim De CuyperF 60%6 of 10 Pro 🔒
Arsenal
Jurriën TimberD 100%10 of 10 Pro 🔒
Bruno GuimarãesM 80%8 of 10 Pro 🔒
Declan RiceM 70%7 of 10 Pro 🔒
Gabriel MagalhãesD 70%7 of 10 Pro 🔒
Bukayo SakaF 70%7 of 10 Pro 🔒
Martín ZubimendiM 70%7 of 10 Pro 🔒
Christos TzolisF 60%6 of 10 Pro 🔒

Brighton
Diego GómezF 60%6 of 10 Pro 🔒
Arsenal
Jurriën TimberD 60%6 of 10 Pro 🔒

Brighton
No Brighton player in this window.
Arsenal
Bukayo SakaF 50%5 of 10 Stats only
Kai HavertzF 40%4 of 10 Stats only
Viktor GyökeresF 30%3 of 10 Stats only

Brighton
Maxim De CuyperF 40%4 of 10 Stats only
Arsenal
No Arsenal 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
Darren England refereed this match 4.30cards a gameleague 4.08 76games
Darren England'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.