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Chelsea v Leicester

Your slip follows you between games.

How often each Chelsea 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 Chelsea v Leicester: Cole Palmer (Chelsea) leads the home side for 1+ shots on target — 9 of 10 (90%); Jamie Vardy (Leicester) 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.

Chelsea
Enzo FernándezM 100%10 of 10 Pro 🔒
Cole PalmerM 100%10 of 10 Pro 🔒
Marc CucurellaD 70%7 of 10 Pro 🔒
Pedro NetoF 70%7 of 10 Pro 🔒
Tyrique GeorgeF 67%2 of 3 Pro 🔒
Tosin AdarabioyoD 60%6 of 10 Pro 🔒
Trevoh ChalobahD 60%6 of 10 Pro 🔒
Jadon SanchoM 60%6 of 10 Pro 🔒
Leicester
Bilal El KhannoussF 80%8 of 10 Pro 🔒
Stephy MavididiF 80%8 of 10 Pro 🔒
Jamie VardyF 70%7 of 10 Pro 🔒
James JustinM 70%7 of 10 Pro 🔒
Wilfred NdidiM 60%6 of 10 Pro 🔒

Chelsea
Cole PalmerM 90%9 of 10 Pro 🔒
Enzo FernándezM 60%6 of 10 Pro 🔒
Leicester
No Leicester player in this window.

Chelsea
Cole PalmerM 70%7 of 10 Pro 🔒
Leicester
No Leicester player in this window.

Chelsea
Cole PalmerM 90%9 of 10 Pro 🔒
Leicester
Jamie VardyF 70%7 of 10 Pro 🔒

Chelsea
Moisés CaicedoM 100%10 of 10 Pro 🔒
Wesley FofanaD 90%9 of 10 Pro 🔒
Enzo FernándezM 90%9 of 10 Pro 🔒
Marc CucurellaD 80%8 of 10 Pro 🔒
Levi ColwillD 60%6 of 10 Pro 🔒
Leicester
Facundo BuonanotteM 80%8 of 10 Pro 🔒
Ricardo PereiraD 70%7 of 10 Pro 🔒
Wilfred NdidiM 70%7 of 10 Pro 🔒
Wout FaesD 60%6 of 10 Pro 🔒
Boubakary SoumaréM 60%6 of 10 Pro 🔒

Chelsea
Moisés CaicedoM 70%7 of 10 Pro 🔒
Enzo FernándezM 60%6 of 10 Pro 🔒
Leicester
No Leicester player in this window.

Chelsea
Marc CucurellaD 80%8 of 10 Pro 🔒
Wesley FofanaD 80%8 of 10 Pro 🔒
Enzo FernándezM 80%8 of 10 Pro 🔒
Cole PalmerM 80%8 of 10 Pro 🔒
Moisés CaicedoM 80%8 of 10 Pro 🔒
Trevoh ChalobahD 70%7 of 10 Pro 🔒
Levi ColwillD 70%7 of 10 Pro 🔒
Leicester
Ricardo PereiraD 70%7 of 10 Pro 🔒

Chelsea
Enzo FernándezM 80%8 of 10 Pro 🔒
Moisés CaicedoM 70%7 of 10 Pro 🔒
Leicester
No Leicester player in this window.

Chelsea
Enzo FernándezM 100%10 of 10 Pro 🔒
Moisés CaicedoM 90%9 of 10 Pro 🔒
Wesley FofanaD 80%8 of 10 Pro 🔒
Levi ColwillD 80%8 of 10 Pro 🔒
Tosin AdarabioyoD 60%6 of 10 Pro 🔒
Marc CucurellaD 60%6 of 10 Pro 🔒
Trevoh ChalobahD 60%6 of 10 Pro 🔒
Cole PalmerM 60%6 of 10 Pro 🔒
Leicester
Bilal El KhannoussF 100%10 of 10 Pro 🔒
Ricardo PereiraD 100%10 of 10 Pro 🔒
Wilfred NdidiM 100%10 of 10 Pro 🔒
Victor KristiansenM 90%9 of 10 Pro 🔒
Luke ThomasD 90%9 of 10 Pro 🔒
Wout FaesD 80%8 of 10 Pro 🔒
Boubakary SoumaréM 80%8 of 10 Pro 🔒
Facundo BuonanotteM 70%7 of 10 Pro 🔒
Harry WinksM 70%7 of 10 Pro 🔒
Stephy MavididiF 70%7 of 10 Pro 🔒
Jamie VardyF 60%6 of 10 Pro 🔒
Conor CoadyD 60%6 of 10 Pro 🔒

Chelsea
Moisés CaicedoM 70%7 of 10 Pro 🔒
Marc CucurellaD 60%6 of 10 Pro 🔒
Leicester
Ricardo PereiraD 70%7 of 10 Pro 🔒
Victor KristiansenM 60%6 of 10 Pro 🔒
Bilal El KhannoussF 60%6 of 10 Pro 🔒
Luke ThomasD 60%6 of 10 Pro 🔒

Chelsea
Cole PalmerM 70%7 of 10 Pro 🔒
Leicester
No Leicester player in this window.

Chelsea
Wesley FofanaD 60%6 of 10 Pro 🔒
Moisés CaicedoM 60%6 of 10 Pro 🔒
Leicester
No Leicester player in this window.

Chelsea
Cole PalmerM 30%3 of 10 Stats only
Leicester
No Leicester player in this window.

Chelsea
Tyrique GeorgeF 33%1 of 3 Stats only
Leicester
No Leicester player in this window.

Chelsea
Robert SánchezG 70%7 of 10 Stats only
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
Tim Robinson refereed this match 4.33cards a gameleague 4.08 48games
Tim Robinson'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.