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SharpXI©
Player stats 26/27

Chelsea v Brighton

Your slip follows you between games.

How often each Chelsea 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 Chelsea v Brighton: Cole Palmer (Chelsea) leads the home side for 1+ shots on target — 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.

Chelsea
Morgan RogersF 100%10 of 10 Pro 🔒
João PedroF 100%10 of 10 Pro 🔒
Cole PalmerF 90%9 of 10 Pro 🔒
Pedro NetoM 70%7 of 10 Pro 🔒
Brighton
Diego GómezM 80%8 of 10 Pro 🔒
Ibrahim OsmanF 80%8 of 10 Pro 🔒
Luka VuškovićD 70%7 of 10 Pro 🔒
Ferdi KadıoğluD 70%7 of 10 Pro 🔒
Pascal GroßM 60%6 of 10 Pro 🔒
Mats WiefferD 60%6 of 10 Pro 🔒

Chelsea
João PedroF 100%10 of 10 Pro 🔒
Morgan RogersF 90%9 of 10 Pro 🔒
Cole PalmerF 80%8 of 10 Pro 🔒
Brighton
Ibrahim OsmanF 60%6 of 10 Pro 🔒

Chelsea
João PedroF 70%7 of 10 Pro 🔒
Cole PalmerF 70%7 of 10 Pro 🔒
Brighton
No Brighton player in this window.

Chelsea
Cole PalmerF 70%7 of 10 Pro 🔒
João PedroF 60%6 of 10 Pro 🔒
Brighton
No Brighton player in this window.

Chelsea
Morgan RogersF 100%10 of 10 Pro 🔒
Wesley FofanaD 80%8 of 10 Pro 🔒
João PedroF 80%8 of 10 Pro 🔒
Moisés CaicedoM 80%8 of 10 Pro 🔒
Roméo LaviaM 60%6 of 10 Pro 🔒
Valentín BarcoMform earned at RC Strasbourg 60%6 of 10 Pro 🔒
Maxence LacroixD 60%6 of 10 Pro 🔒
Levi ColwillD 60%6 of 10 Pro 🔒
Brighton
Diego GómezM 70%7 of 10 Pro 🔒
Pascal GroßM 70%7 of 10 Pro 🔒
Mats WiefferD 70%7 of 10 Pro 🔒
Ibrahim OsmanF 60%6 of 10 Pro 🔒

Chelsea
No Chelsea player in this window.
Brighton
Diego GómezM 70%7 of 10 Pro 🔒

Chelsea
João PedroF 90%9 of 10 Pro 🔒
Cole PalmerF 90%9 of 10 Pro 🔒
Valentín BarcoMform earned at RC Strasbourg 80%8 of 10 Pro 🔒
Wesley FofanaD 80%8 of 10 Pro 🔒
Morgan RogersF 80%8 of 10 Pro 🔒
Moisés CaicedoM 80%8 of 10 Pro 🔒
Levi ColwillD 70%7 of 10 Pro 🔒
Malo GustoM 60%6 of 10 Pro 🔒
Brighton
Ibrahim OsmanF 80%8 of 10 Pro 🔒
Malick YalcouyéM 80%8 of 10 Pro 🔒
Olivier BoscagliM 60%6 of 10 Pro 🔒
Ferdi KadıoğluD 60%6 of 10 Pro 🔒
Mats WiefferD 60%6 of 10 Pro 🔒

Chelsea
João PedroF 70%7 of 10 Pro 🔒
Brighton
No Brighton player in this window.

Chelsea
Levi ColwillD 90%9 of 10 Pro 🔒
Jorrel HatoM 80%8 of 10 Pro 🔒
Maxence LacroixD 80%8 of 10 Pro 🔒
Pep ChavarríaD 70%7 of 10 Pro 🔒
Valentín BarcoMform earned at RC Strasbourg 70%7 of 10 Pro 🔒
Morgan RogersF 70%7 of 10 Pro 🔒
Cole PalmerF 70%7 of 10 Pro 🔒
Moisés CaicedoM 70%7 of 10 Pro 🔒
Josh AcheampongD 60%6 of 10 Pro 🔒
Reece JamesD 60%6 of 10 Pro 🔒
João PedroF 60%6 of 10 Pro 🔒
Malo GustoM 60%6 of 10 Pro 🔒
Brighton
Diego GómezM 80%8 of 10 Pro 🔒
Pascal GroßM 80%8 of 10 Pro 🔒
Olivier BoscagliM 80%8 of 10 Pro 🔒
Ibrahim OsmanF 70%7 of 10 Pro 🔒
Mats WiefferD 70%7 of 10 Pro 🔒
Lewis DunkD 60%6 of 10 Pro 🔒
Maxim De CuyperM 60%6 of 10 Pro 🔒

Chelsea
Jorrel HatoM 70%7 of 10 Pro 🔒
Valentín BarcoMform earned at RC Strasbourg 60%6 of 10 Pro 🔒
Morgan RogersF 60%6 of 10 Pro 🔒
Brighton
Diego GómezM 70%7 of 10 Pro 🔒
Mats WiefferD 70%7 of 10 Pro 🔒
Ibrahim OsmanF 60%6 of 10 Pro 🔒

Chelsea
No Chelsea player in this window.
Brighton
Diego GómezM 60%6 of 10 Pro 🔒

Chelsea
Cole PalmerF 60%6 of 10 Pro 🔒
Brighton
No Brighton player in this window.

Chelsea
João PedroF 40%4 of 10 Stats only
Morgan RogersF 30%3 of 10 Stats only
Cole PalmerF 30%3 of 10 Stats only
Brighton
No Brighton player in this window.

Chelsea
Pedro NetoM 30%3 of 10 Stats only
Brighton
No Brighton player in this window.

Chelsea
Emiliano MartínezGform earned at Aston Villa 80%8 of 10 Stats only
Brighton
Bart VerbruggenG 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-10% cards vs the league average
Michael Oliver refereed this match 3.67cards a gameleague 4.08 114games
Michael Oliver'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.