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SharpXI©
Player stats 23/24

Luton v Brighton

Your slip follows you between games.

How often each Luton 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 Luton v Brighton: João Pedro (Brighton) tops the visitors 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.

Luton
Ross BarkleyM 100%10 of 10 Pro 🔒
Tahith ChongM 70%7 of 10 Pro 🔒
Cauley WoodrowF 60%6 of 10 Pro 🔒
Elijah AdebayoF 60%6 of 10 Pro 🔒
Brighton
João PedroF 100%10 of 10 Pro 🔒
Billy GilmourM 80%8 of 10 Pro 🔒
Facundo BuonanotteF 70%7 of 10 Pro 🔒
Lewis DunkD 70%7 of 10 Pro 🔒
Jan Paul van HeckeD 70%7 of 10 Pro 🔒
Jack HinshelwoodM 60%6 of 10 Pro 🔒
Pascal GroßM 60%6 of 10 Pro 🔒
Pervis EstupiñánM 60%6 of 10 Pro 🔒
Evan FergusonF 60%6 of 10 Pro 🔒

Luton
Ross BarkleyM 70%7 of 10 Pro 🔒
Brighton
João PedroF 90%9 of 10 Pro 🔒

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

Luton
No Luton player in this window.
Brighton
João PedroF 60%6 of 10 Pro 🔒

Luton
Ross BarkleyM 80%8 of 10 Pro 🔒
Carlton MorrisF 70%7 of 10 Pro 🔒
Andros TownsendM 70%7 of 10 Pro 🔒
Elijah AdebayoF 70%7 of 10 Pro 🔒
Gabriel OshoD 70%7 of 10 Pro 🔒
Brighton
Pervis EstupiñánM 90%9 of 10 Pro 🔒
Carlos BalebaM 80%8 of 10 Pro 🔒
Facundo BuonanotteF 60%6 of 10 Pro 🔒
Jack HinshelwoodM 60%6 of 10 Pro 🔒
Billy GilmourM 60%6 of 10 Pro 🔒

Luton
Chiedozie OgbeneM 80%8 of 10 Pro 🔒
Tahith ChongM 70%7 of 10 Pro 🔒
Ross BarkleyM 70%7 of 10 Pro 🔒
Brighton
Facundo BuonanotteF 90%9 of 10 Pro 🔒
Pervis EstupiñánM 60%6 of 10 Pro 🔒
Billy GilmourM 60%6 of 10 Pro 🔒
Jan Paul van HeckeD 60%6 of 10 Pro 🔒
João PedroF 60%6 of 10 Pro 🔒
Evan FergusonF 60%6 of 10 Pro 🔒

Luton
No Luton player in this window.
Brighton
Facundo BuonanotteF 60%6 of 10 Pro 🔒

Luton
Alfie DoughtyM 100%10 of 10 Pro 🔒
Amari'i BellD 80%8 of 10 Pro 🔒
Reece BurkeD 80%8 of 10 Pro 🔒
Gabriel OshoD 80%8 of 10 Pro 🔒
Ross BarkleyM 80%8 of 10 Pro 🔒
Jordan ClarkF 70%7 of 10 Pro 🔒
Andros TownsendM 60%6 of 10 Pro 🔒
Brighton
Pascal GroßM 100%10 of 10 Pro 🔒
James MilnerM 90%9 of 10 Pro 🔒
Pervis EstupiñánM 90%9 of 10 Pro 🔒
Carlos BalebaM 80%8 of 10 Pro 🔒
Jan Paul van HeckeD 80%8 of 10 Pro 🔒
Jakub ModerM 80%4 of 5 Pro 🔒
Facundo BuonanotteF 70%7 of 10 Pro 🔒
Lewis DunkD 60%6 of 10 Pro 🔒
João PedroF 60%6 of 10 Pro 🔒
Evan FergusonF 60%6 of 10 Pro 🔒

Luton
Alfie DoughtyM 70%7 of 10 Pro 🔒
Amari'i BellD 60%6 of 10 Pro 🔒
Gabriel OshoD 60%6 of 10 Pro 🔒
Ross BarkleyM 60%6 of 10 Pro 🔒
Brighton
Jan Paul van HeckeD 60%6 of 10 Pro 🔒

Luton
Elijah AdebayoF 30%3 of 10 Stats only
Brighton
João PedroF 30%3 of 10 Stats only

Luton
Alfie DoughtyM 30%3 of 10 Stats only
Brighton
Pascal GroßM 40%4 of 10 Stats only
Pervis EstupiñánM 30%3 of 10 Stats only

Luton
Thomas KaminskiG 80%8 of 10 Stats only
Brighton
No Brighton player in this window.

Luton
Thomas KaminskiG 60%6 of 10 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
Robert Jones refereed this match 4.36cards a gameleague 4.08 90games
Robert Jones'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.