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Player stats 23/24

West Ham v Luton

Your slip follows you between games.

How often each West Ham 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 West Ham v Luton: Michail Antonio (West Ham) leads the home side for 1+ shots on target — 6 of 10 (60%); Elijah Adebayo (Luton) 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.

West Ham
Mohammed KudusM 100%10 of 10 Pro 🔒
Michail AntonioF 90%9 of 10 Pro 🔒
Lucas PaquetáM 80%8 of 10 Pro 🔒
Jarrod BowenM 70%7 of 10 Pro 🔒
Tomáš SoučekM 70%7 of 10 Pro 🔒
Luton
Chiedozie OgbeneF 90%9 of 10 Pro 🔒
Ross BarkleyM 90%9 of 10 Pro 🔒
Elijah AdebayoF 80%8 of 10 Pro 🔒
Jordan ClarkM 70%7 of 10 Pro 🔒
Carlton MorrisF 70%7 of 10 Pro 🔒
Tahith ChongF 60%6 of 10 Pro 🔒
Luke BerryM 60%6 of 10 Pro 🔒

West Ham
Mohammed KudusM 80%8 of 10 Pro 🔒
Jarrod BowenM 70%7 of 10 Pro 🔒
Michail AntonioF 60%6 of 10 Pro 🔒
Luton
No Luton player in this window.

West Ham
Michail AntonioF 60%6 of 10 Pro 🔒
Luton
Elijah AdebayoF 80%8 of 10 Pro 🔒
Ross BarkleyM 80%8 of 10 Pro 🔒
Chiedozie OgbeneF 60%6 of 10 Pro 🔒

West Ham
Lucas PaquetáM 100%10 of 10 Pro 🔒
Mohammed KudusM 80%8 of 10 Pro 🔒
Luton
Carlton MorrisF 100%10 of 10 Pro 🔒
Elijah AdebayoF 100%10 of 10 Pro 🔒
Teden MengiD 80%8 of 10 Pro 🔒
Ross BarkleyM 80%8 of 10 Pro 🔒
Fred OnyedinmaM 70%7 of 10 Pro 🔒
Reece BurkeD 70%7 of 10 Pro 🔒
Gabriel OshoD 70%7 of 10 Pro 🔒
Alfie DoughtyM 60%6 of 10 Pro 🔒

West Ham
Mohammed KudusM 100%10 of 10 Pro 🔒
Lucas PaquetáM 90%9 of 10 Pro 🔒
Jarrod BowenM 70%7 of 10 Pro 🔒
EmersonD 60%6 of 10 Pro 🔒
Michail AntonioF 60%6 of 10 Pro 🔒
Luton
Tahith ChongF 90%9 of 10 Pro 🔒
Jordan ClarkM 80%8 of 10 Pro 🔒
Carlton MorrisF 80%8 of 10 Pro 🔒
Chiedozie OgbeneF 80%8 of 10 Pro 🔒
Gabriel OshoD 80%8 of 10 Pro 🔒
Ross BarkleyM 80%8 of 10 Pro 🔒
Fred OnyedinmaM 70%7 of 10 Pro 🔒

West Ham
Mohammed KudusM 80%8 of 10 Pro 🔒
Lucas PaquetáM 60%6 of 10 Pro 🔒
Luton
Tahith ChongF 80%8 of 10 Pro 🔒
Chiedozie OgbeneF 60%6 of 10 Pro 🔒

West Ham
Mohammed KudusM 60%6 of 10 Pro 🔒
Luton
Tahith ChongF 60%6 of 10 Pro 🔒

West Ham
Tomáš SoučekM 100%10 of 10 Pro 🔒
EmersonD 90%9 of 10 Pro 🔒
Kurt ZoumaD 80%8 of 10 Pro 🔒
Lucas PaquetáM 80%8 of 10 Pro 🔒
Mohammed KudusM 80%8 of 10 Pro 🔒
Jarrod BowenM 70%7 of 10 Pro 🔒
Vladimír CoufalD 60%6 of 10 Pro 🔒
Luton
Gabriel OshoD 100%10 of 10 Pro 🔒
Alfie DoughtyM 90%9 of 10 Pro 🔒
Jordan ClarkM 80%8 of 10 Pro 🔒
Tahith ChongF 80%8 of 10 Pro 🔒
Teden MengiD 80%8 of 10 Pro 🔒
Reece BurkeD 70%7 of 10 Pro 🔒
Luke BerryM 60%6 of 10 Pro 🔒
Ross BarkleyM 60%6 of 10 Pro 🔒

West Ham
EmersonD 80%8 of 10 Pro 🔒
Mohammed KudusM 70%7 of 10 Pro 🔒
Tomáš SoučekM 60%6 of 10 Pro 🔒
Lucas PaquetáM 60%6 of 10 Pro 🔒
Luton
Gabriel OshoD 80%8 of 10 Pro 🔒
Teden MengiD 60%6 of 10 Pro 🔒

West Ham
EmersonD 70%7 of 10 Pro 🔒
Luton
No Luton player in this window.

West Ham
No West Ham player in this window.
Luton
Ross BarkleyM 60%6 of 10 Pro 🔒

West Ham
Michail AntonioF 40%4 of 10 Stats only
Jarrod BowenM 30%3 of 10 Stats only
Luton
Elijah AdebayoF 50%5 of 10 Stats only
Chiedozie OgbeneF 30%3 of 10 Stats only

West Ham
Jarrod BowenM 40%4 of 10 Stats only
Mohammed KudusM 30%3 of 10 Stats only
Luton
Reece BurkeD 30%3 of 10 Stats only

West Ham
Alphonse AréolaG 90%9 of 10 Stats only
Luton
Thomas KaminskiG 70%7 of 10 Stats only

West Ham
Alphonse AréolaG 70%7 of 10 Stats only
Luton
No Luton player in this window.

West Ham
Alphonse AréolaG 60%6 of 10 Stats only
Luton
No Luton 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-10% cards vs the league average
Michael Oliver refereed this match 3.67cards a gameleague 4.08 114games
Michael Oliver'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.