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Player stats 23/24

Crystal Palace v Luton

Your slip follows you between games.

How often each Crystal Palace and Luton 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 Crystal Palace v Luton: Jean-Philippe Mateta (Crystal Palace) leads the home side for 1+ shots on target — 6 of 10 (60%); Carlton Morris (Luton) 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.

Crystal Palace
Jordan AyewF 80%8 of 10 Pro 🔒
Eberechi EzeF 80%8 of 10 Pro 🔒
Jefferson LermaM 70%7 of 10 Pro 🔒
Adam WhartonM 60%6 of 10 Pro 🔒
Odsonne ÉdouardF 60%6 of 10 Pro 🔒
Luton
Ross BarkleyM 100%10 of 10 Pro 🔒
Tahith ChongF 80%8 of 10 Pro 🔒
Carlton MorrisF 70%7 of 10 Pro 🔒
Andros TownsendM 70%7 of 10 Pro 🔒
Chiedozie OgbeneF 70%7 of 10 Pro 🔒
Alfie DoughtyM 70%7 of 10 Pro 🔒
Cauley WoodrowF 60%6 of 10 Pro 🔒

Crystal Palace
Eberechi EzeF 70%7 of 10 Pro 🔒
Luton
Ross BarkleyM 90%9 of 10 Pro 🔒
Carlton MorrisF 70%7 of 10 Pro 🔒

Crystal Palace
Eberechi EzeF 60%6 of 10 Pro 🔒
Luton
Carlton MorrisF 70%7 of 10 Pro 🔒

Crystal Palace
Jefferson LermaM 90%9 of 10 Pro 🔒
Daniel MuñozM 80%4 of 5 Pro 🔒
Jordan AyewF 70%7 of 10 Pro 🔒
Adam WhartonM 70%7 of 10 Pro 🔒
Will HughesM 70%7 of 10 Pro 🔒
Joachim AndersenD 70%7 of 10 Pro 🔒
Odsonne ÉdouardF 60%6 of 10 Pro 🔒
Eberechi EzeF 60%6 of 10 Pro 🔒
Luton
Carlton MorrisF 90%9 of 10 Pro 🔒
Gabriel OshoD 80%8 of 10 Pro 🔒
Teden MengiD 80%8 of 10 Pro 🔒
Reece BurkeD 70%7 of 10 Pro 🔒
Issa KaboréM 60%6 of 10 Pro 🔒
Alfie DoughtyM 60%6 of 10 Pro 🔒

Crystal Palace
Jefferson LermaM 80%8 of 10 Pro 🔒
Will HughesM 60%6 of 10 Pro 🔒
Luton
No Luton player in this window.

Crystal Palace
Jordan AyewF 90%9 of 10 Pro 🔒
Eberechi EzeF 90%9 of 10 Pro 🔒
Adam WhartonM 80%8 of 10 Pro 🔒
Joachim AndersenD 60%6 of 10 Pro 🔒
Odsonne ÉdouardF 60%6 of 10 Pro 🔒
Daniel MuñozM 60%3 of 5 Pro 🔒
Luton
Chiedozie OgbeneF 90%9 of 10 Pro 🔒
Ross BarkleyM 80%8 of 10 Pro 🔒
Jordan ClarkM 60%6 of 10 Pro 🔒
Tahith ChongF 60%6 of 10 Pro 🔒

Crystal Palace
Jordan AyewF 80%8 of 10 Pro 🔒
Luton
Ross BarkleyM 60%6 of 10 Pro 🔒

Crystal Palace
Jordan AyewF 60%6 of 10 Pro 🔒
Luton
No Luton player in this window.

Crystal Palace
Chris RichardsD 100%10 of 10 Pro 🔒
Tyrick MitchellM 100%10 of 10 Pro 🔒
Daniel MuñozM 100%5 of 5 Pro 🔒
Jordan AyewF 90%9 of 10 Pro 🔒
Adam WhartonM 90%9 of 10 Pro 🔒
Will HughesM 80%8 of 10 Pro 🔒
Jefferson LermaM 70%7 of 10 Pro 🔒
Joachim AndersenD 60%6 of 10 Pro 🔒
Luton
Gabriel OshoD 100%10 of 10 Pro 🔒
Ross BarkleyM 100%10 of 10 Pro 🔒
Issa KaboréM 90%9 of 10 Pro 🔒
Alfie DoughtyM 80%8 of 10 Pro 🔒
Jordan ClarkM 70%7 of 10 Pro 🔒
Teden MengiD 70%7 of 10 Pro 🔒
Cauley WoodrowF 60%6 of 10 Pro 🔒
Reece BurkeD 60%6 of 10 Pro 🔒

Crystal Palace
Adam WhartonM 70%7 of 10 Pro 🔒
Tyrick MitchellM 70%7 of 10 Pro 🔒
Jordan AyewF 60%6 of 10 Pro 🔒
Will HughesM 60%6 of 10 Pro 🔒
Chris RichardsD 60%6 of 10 Pro 🔒
Daniel MuñozM 60%3 of 5 Pro 🔒
Luton
Gabriel OshoD 80%8 of 10 Pro 🔒
Ross BarkleyM 70%7 of 10 Pro 🔒

Crystal Palace
Tyrick MitchellM 70%7 of 10 Pro 🔒
Luton
No Luton player in this window.

Crystal Palace
Eberechi EzeF 40%4 of 10 Stats only
Jordan AyewF 30%3 of 10 Stats only
Luton
Carlton MorrisF 50%5 of 10 Stats only

Crystal Palace
Jordan AyewF 30%3 of 10 Stats only
Luton
Alfie DoughtyM 30%3 of 10 Stats only
Ross BarkleyM 30%3 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
Sunny Sukhvir Gill refereed this match

1 match on record — too few to quote a card rate against. See the 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.