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Player stats 24/25

Brighton v Leicester

Your slip follows you between games.

How often each Brighton and Leicester 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 Leicester: Yankuba Minteh (Brighton) leads the home side for 1+ shots on target — 6 of 10 (60%); Jamie Vardy (Leicester) 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 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
Yankuba MintehM 80%8 of 10 Pro 🔒
João PedroM 80%8 of 10 Pro 🔒
Carlos BalebaD 70%7 of 10 Pro 🔒
Danny WelbeckF 70%7 of 10 Pro 🔒
Simon AdingraM 60%6 of 10 Pro 🔒
Leicester
Bilal El KhannoussM 80%8 of 10 Pro 🔒
Jamie VardyF 60%6 of 10 Pro 🔒
Ricardo PereiraD 60%6 of 10 Pro 🔒
Stephy MavididiM 60%6 of 10 Pro 🔒

Brighton
Yankuba MintehM 60%6 of 10 Pro 🔒
Leicester
Jamie VardyF 60%6 of 10 Pro 🔒

Brighton
Carlos BalebaD 80%8 of 10 Pro 🔒
João PedroM 80%8 of 10 Pro 🔒
Solly MarchM 60%6 of 10 Pro 🔒
Leicester
Wilfred NdidiM 70%7 of 10 Pro 🔒
Patson DakaF 70%7 of 10 Pro 🔒
James JustinD 60%6 of 10 Pro 🔒
Caleb OkoliD 60%6 of 10 Pro 🔒

Brighton
Carlos BalebaD 80%8 of 10 Pro 🔒
Brajan GrudaM 60%6 of 10 Pro 🔒
João PedroM 60%6 of 10 Pro 🔒
Leicester
Ricardo PereiraD 80%8 of 10 Pro 🔒
Kasey McAteerM 70%7 of 10 Pro 🔒
Boubakary SoumaréM 70%7 of 10 Pro 🔒
Patson DakaF 60%6 of 10 Pro 🔒
Luke ThomasD 60%6 of 10 Pro 🔒

Brighton
Yankuba MintehM 90%9 of 10 Pro 🔒
Solly MarchM 90%9 of 10 Pro 🔒
Pervis EstupiñánD 80%8 of 10 Pro 🔒
Jack HinshelwoodD 70%7 of 10 Pro 🔒
Lewis DunkD 70%7 of 10 Pro 🔒
Carlos BalebaD 70%7 of 10 Pro 🔒
Yasin AyariM 60%6 of 10 Pro 🔒
Leicester
Bilal El KhannoussM 100%10 of 10 Pro 🔒
Wilfred NdidiM 100%10 of 10 Pro 🔒
Luke ThomasD 100%10 of 10 Pro 🔒
Ricardo PereiraD 80%8 of 10 Pro 🔒
Jamie VardyF 70%7 of 10 Pro 🔒
Oliver SkippM 60%6 of 10 Pro 🔒
Patson DakaF 60%6 of 10 Pro 🔒
Boubakary SoumaréM 60%6 of 10 Pro 🔒

Brighton
Pervis EstupiñánD 70%7 of 10 Pro 🔒
Carlos BalebaD 60%6 of 10 Pro 🔒
Yankuba MintehM 60%6 of 10 Pro 🔒
Leicester
Luke ThomasD 90%9 of 10 Pro 🔒
Bilal El KhannoussM 60%6 of 10 Pro 🔒
Ricardo PereiraD 60%6 of 10 Pro 🔒
Wilfred NdidiM 60%6 of 10 Pro 🔒

Brighton
João PedroM 30%3 of 10 Stats only
Leicester
No Leicester player in this window.

Brighton
Yankuba MintehM 30%3 of 10 Stats only
Leicester
No Leicester player in this window.

Brighton
No Brighton player in this window.
Leicester
Mads HermansenG 70%7 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
Darren Bond refereed this match 4.30cards a gameleague 4.08 23games
Darren Bond'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.