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Player stats 23/24

Luton v Chelsea

Your slip follows you between games.

How often each Luton and Chelsea 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 Chelsea: Enzo Fernández (Chelsea) 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 90%9 of 10 Pro 🔒
Cauley WoodrowF 70%7 of 10 Pro 🔒
Tahith ChongM 70%7 of 10 Pro 🔒
Elijah AdebayoF 70%7 of 10 Pro 🔒
Jacob BrownF 60%6 of 10 Pro 🔒
Teden MengiD 60%6 of 10 Pro 🔒
Chelsea
Christopher NkunkuF 100%10 of 10 Pro 🔒
Nicolas JacksonM 90%9 of 10 Pro 🔒
Enzo FernándezM 90%9 of 10 Pro 🔒
Cole PalmerM 90%9 of 10 Pro 🔒
Conor GallagherM 70%7 of 10 Pro 🔒
Armando BrojaF 70%7 of 10 Pro 🔒
Noni MaduekeM 60%6 of 10 Pro 🔒

Luton
Ross BarkleyM 60%6 of 10 Pro 🔒
Chelsea
Christopher NkunkuF 90%9 of 10 Pro 🔒
Cole PalmerM 70%7 of 10 Pro 🔒
Nicolas JacksonM 60%6 of 10 Pro 🔒
Enzo FernándezM 60%6 of 10 Pro 🔒

Luton
No Luton player in this window.
Chelsea
Christopher NkunkuF 70%7 of 10 Pro 🔒

Luton
No Luton player in this window.
Chelsea
Enzo FernándezM 70%7 of 10 Pro 🔒
Cole PalmerM 70%7 of 10 Pro 🔒
Christopher NkunkuF 60%6 of 10 Pro 🔒

Luton
Carlton MorrisF 70%7 of 10 Pro 🔒
Amari'i BellD 70%7 of 10 Pro 🔒
Gabriel OshoD 70%7 of 10 Pro 🔒
Issa KaboréM 60%6 of 10 Pro 🔒
Andros TownsendF 60%6 of 10 Pro 🔒
Jacob BrownF 60%6 of 10 Pro 🔒
Teden MengiD 60%6 of 10 Pro 🔒
Ross BarkleyM 60%6 of 10 Pro 🔒
Chelsea
Conor GallagherM 90%9 of 10 Pro 🔒
Moisés CaicedoM 90%9 of 10 Pro 🔒
Levi ColwillD 80%8 of 10 Pro 🔒
Cole PalmerM 70%7 of 10 Pro 🔒
Enzo FernándezM 60%6 of 10 Pro 🔒

Luton
No Luton player in this window.
Chelsea
Conor GallagherM 70%7 of 10 Pro 🔒
Moisés CaicedoM 60%6 of 10 Pro 🔒

Luton
Chiedozie OgbeneF 90%9 of 10 Pro 🔒
Ross BarkleyM 80%8 of 10 Pro 🔒
Tahith ChongM 70%7 of 10 Pro 🔒
Jacob BrownF 70%7 of 10 Pro 🔒
Chelsea
Conor GallagherM 100%10 of 10 Pro 🔒
Enzo FernándezM 90%9 of 10 Pro 🔒
Moisés CaicedoM 80%8 of 10 Pro 🔒
Nicolas JacksonM 70%7 of 10 Pro 🔒
Noni MaduekeM 70%7 of 10 Pro 🔒
Christopher NkunkuF 60%6 of 10 Pro 🔒
Cole PalmerM 60%6 of 10 Pro 🔒
Levi ColwillD 60%6 of 10 Pro 🔒
Malo GustoD 60%6 of 10 Pro 🔒

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

Luton
Alfie DoughtyM 100%10 of 10 Pro 🔒
Issa KaboréM 90%9 of 10 Pro 🔒
Amari'i BellD 80%8 of 10 Pro 🔒
Gabriel OshoD 80%8 of 10 Pro 🔒
Andros TownsendF 70%7 of 10 Pro 🔒
Jacob BrownF 70%7 of 10 Pro 🔒
Teden MengiD 70%7 of 10 Pro 🔒
Ross BarkleyM 70%7 of 10 Pro 🔒
Chiedozie OgbeneF 60%6 of 10 Pro 🔒
Chelsea
Conor GallagherM 100%10 of 10 Pro 🔒
Enzo FernándezM 90%9 of 10 Pro 🔒
Moisés CaicedoM 90%9 of 10 Pro 🔒
Malo GustoD 90%9 of 10 Pro 🔒
Thiago SilvaD 70%7 of 10 Pro 🔒
Axel DisasiD 70%7 of 10 Pro 🔒
Cole PalmerM 70%7 of 10 Pro 🔒
Levi ColwillD 70%7 of 10 Pro 🔒

Luton
Amari'i BellD 70%7 of 10 Pro 🔒
Alfie DoughtyM 70%7 of 10 Pro 🔒
Issa KaboréM 60%6 of 10 Pro 🔒
Ross BarkleyM 60%6 of 10 Pro 🔒
Chelsea
Conor GallagherM 80%8 of 10 Pro 🔒
Enzo FernándezM 60%6 of 10 Pro 🔒

Luton
Elijah AdebayoF 30%3 of 10 Stats only
Chelsea
Cole PalmerM 50%5 of 10 Stats only
Christopher NkunkuF 40%4 of 10 Stats only
Nicolas JacksonM 30%3 of 10 Stats only

Luton
No Luton player in this window.
Chelsea
Conor GallagherM 30%3 of 10 Stats only

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

Luton
Thomas KaminskiG 60%6 of 10 Stats only
Chelsea
No Chelsea 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
Paul Tierney refereed this match 3.74cards a gameleague 4.08 68games
Paul Tierney'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.