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Leicester v Everton

Your slip follows you between games.

How often each Leicester and Everton 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 Leicester v Everton: Jamie Vardy (Leicester) leads the home side for 1+ shots on target — 7 of 10 (70%); Dominic Calvert-Lewin (Everton) tops the visitors on 8 of 10 (80%). 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.

Leicester
Jamie VardyF 80%8 of 10 Pro 🔒
Caleb OkoliD 70%7 of 10 Pro 🔒
Jordan AyewM 60%6 of 10 Pro 🔒
Stephy MavididiM 60%6 of 10 Pro 🔒
Everton
Jack HarrisonF 70%7 of 10 Pro 🔒
James TarkowskiD 60%6 of 10 Pro 🔒
Orel MangalaM 60%6 of 10 Pro 🔒
Dwight McNeilM 60%6 of 10 Pro 🔒
Abdoulaye DoucouréM 60%6 of 10 Pro 🔒

Leicester
Everton

Leicester
Jamie VardyF 70%7 of 10 Pro 🔒
Everton

Leicester
Facundo BuonanotteM 80%8 of 10 Pro 🔒
Stephy MavididiM 70%7 of 10 Pro 🔒
Wilfred NdidiM 70%7 of 10 Pro 🔒
Caleb OkoliD 70%7 of 10 Pro 🔒
Jordan AyewM 60%6 of 10 Pro 🔒
Wout FaesD 60%6 of 10 Pro 🔒
Harry WinksM 60%6 of 10 Pro 🔒
Everton
Tim IroegbunamM 90%9 of 10 Pro 🔒
Ashley YoungD 60%6 of 10 Pro 🔒
Michael KeaneD 60%6 of 10 Pro 🔒
Orel MangalaM 60%6 of 10 Pro 🔒
James GarnerD 60%6 of 10 Pro 🔒

Leicester
No Leicester player in this window.
Everton
Tim IroegbunamM 60%6 of 10 Pro 🔒

Leicester
Wilfred NdidiM 80%8 of 10 Pro 🔒
Caleb OkoliD 70%7 of 10 Pro 🔒
Jordan AyewM 60%6 of 10 Pro 🔒
Victor KristiansenD 60%6 of 10 Pro 🔒
Facundo BuonanotteM 60%6 of 10 Pro 🔒
James JustinD 60%6 of 10 Pro 🔒
Everton
Jack HarrisonF 80%8 of 10 Pro 🔒
James GarnerD 70%7 of 10 Pro 🔒
Dwight McNeilM 70%7 of 10 Pro 🔒
Ashley YoungD 60%6 of 10 Pro 🔒

Leicester
Jordan AyewM 60%6 of 10 Pro 🔒
Everton
No Everton player in this window.

Leicester
Victor KristiansenD 100%10 of 10 Pro 🔒
Caleb OkoliD 90%9 of 10 Pro 🔒
Facundo BuonanotteM 80%8 of 10 Pro 🔒
Stephy MavididiM 80%8 of 10 Pro 🔒
Harry WinksM 70%7 of 10 Pro 🔒
Jordan AyewM 60%6 of 10 Pro 🔒
Wout FaesD 60%6 of 10 Pro 🔒
James JustinD 60%6 of 10 Pro 🔒
Everton
James TarkowskiD 100%10 of 10 Pro 🔒
Ashley YoungD 80%8 of 10 Pro 🔒
Tim IroegbunamM 80%8 of 10 Pro 🔒
Dwight McNeilM 80%8 of 10 Pro 🔒
Jack HarrisonF 70%7 of 10 Pro 🔒
James GarnerD 70%7 of 10 Pro 🔒

Leicester
Caleb OkoliD 90%9 of 10 Pro 🔒
Victor KristiansenD 80%8 of 10 Pro 🔒
Facundo BuonanotteM 60%6 of 10 Pro 🔒
Everton
Ashley YoungD 80%8 of 10 Pro 🔒
James TarkowskiD 60%6 of 10 Pro 🔒
Jack HarrisonF 60%6 of 10 Pro 🔒

Leicester
No Leicester player in this window.
Everton
Ashley YoungD 70%7 of 10 Pro 🔒

Leicester
Jamie VardyF 50%5 of 10 Stats only
Everton
Dominic Calvert-LewinF 50%5 of 10 Stats only

Leicester
Abdul Fatawu IssahakuF 40%4 of 10 Stats only
Everton
Dwight McNeilM 30%3 of 10 Stats only

Leicester
Mads HermansenG 60%6 of 10 Stats only
Everton
Jordan PickfordG 80%8 of 10 Stats only

Leicester
No Leicester player in this window.
Everton
Jordan PickfordG 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
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.