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Player stats 24/25

Queens Park Rangers v Luton

Your slip follows you between games.

How often each Queens Park Rangers 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 Queens Park Rangers v Luton: Žan Celar (Queens Park Rangers) leads the home side for 1+ shots on target — 2 of 3 (67%); 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.

Queens Park Rangers
Alfie LloydF 100%3 of 3 Pro 🔒
Jimmy DunneD 80%8 of 10 Pro 🔒
Steve CookD 70%7 of 10 Pro 🔒
Žan CelarF 67%2 of 3 Pro 🔒
Paul SmythF 60%6 of 10 Pro 🔒
Luton
Elijah AdebayoF 90%9 of 10 Pro 🔒
Carlton MorrisF 80%8 of 10 Pro 🔒
Jordan ClarkM 70%7 of 10 Pro 🔒
Alfie DoughtyD 70%7 of 10 Pro 🔒
Tahith ChongM 60%6 of 10 Pro 🔒

Queens Park Rangers
Jimmy DunneD 60%6 of 10 Pro 🔒
Luton
Elijah AdebayoF 60%6 of 10 Pro 🔒

Queens Park Rangers
Žan CelarF 67%2 of 3 Pro 🔒
Paul SmythF 60%6 of 10 Pro 🔒
Jimmy DunneD 60%6 of 10 Pro 🔒
Luton
Elijah AdebayoF 80%8 of 10 Pro 🔒
Carlton MorrisF 60%6 of 10 Pro 🔒

Queens Park Rangers
Jimmy DunneD 90%9 of 10 Pro 🔒
Jack ColbackM 80%8 of 10 Pro 🔒
Jake Clarke-SalterD 80%8 of 10 Pro 🔒
Luton
Elijah AdebayoF 100%10 of 10 Pro 🔒
Marvelous NakambaM 90%9 of 10 Pro 🔒
Carlton MorrisF 70%7 of 10 Pro 🔒
Alfie DoughtyD 70%7 of 10 Pro 🔒
Jordan ClarkM 60%6 of 10 Pro 🔒
Reece BurkeD 60%6 of 10 Pro 🔒
Thomas HolmesD 60%6 of 10 Pro 🔒

Queens Park Rangers
No Queens Park Rangers player in this window.
Luton
Marvelous NakambaM 70%7 of 10 Pro 🔒

Queens Park Rangers
Paul SmythF 90%9 of 10 Pro 🔒
Jimmy DunneD 80%8 of 10 Pro 🔒
Alfie LloydF 67%2 of 3 Pro 🔒
Jonathan VaraneM 67%2 of 3 Pro 🔒
Kenneth PaalD 60%6 of 10 Pro 🔒
Karamoko DembéléM 60%6 of 10 Pro 🔒
Luton
Tahith ChongM 100%10 of 10 Pro 🔒
Jordan ClarkM 70%7 of 10 Pro 🔒
Carlton MorrisF 70%7 of 10 Pro 🔒
Amari'i BellD 70%7 of 10 Pro 🔒
Elijah AdebayoF 70%7 of 10 Pro 🔒
Reuell WaltersD 67%2 of 3 Pro 🔒

Queens Park Rangers
No Queens Park Rangers player in this window.
Luton
Tahith ChongM 90%9 of 10 Pro 🔒

Queens Park Rangers
No Queens Park Rangers player in this window.
Luton
Tahith ChongM 70%7 of 10 Pro 🔒

Queens Park Rangers
Kenneth PaalD 90%9 of 10 Pro 🔒
Jimmy DunneD 90%9 of 10 Pro 🔒
Jonathan VaraneM 67%2 of 3 Pro 🔒
Jack ColbackM 60%6 of 10 Pro 🔒
Steve CookD 60%6 of 10 Pro 🔒
Jake Clarke-SalterD 60%6 of 10 Pro 🔒
Paul SmythF 60%6 of 10 Pro 🔒
Luton
Alfie DoughtyD 100%10 of 10 Pro 🔒
Reece BurkeD 80%8 of 10 Pro 🔒
Marvelous NakambaM 80%8 of 10 Pro 🔒
Tahith ChongM 80%8 of 10 Pro 🔒
Amari'i BellD 70%7 of 10 Pro 🔒
Reuell WaltersD 67%2 of 3 Pro 🔒
Jordan ClarkM 60%6 of 10 Pro 🔒

Queens Park Rangers
Kenneth PaalD 70%7 of 10 Pro 🔒
Jimmy DunneD 70%7 of 10 Pro 🔒
Jake Clarke-SalterD 60%6 of 10 Pro 🔒
Luton
Alfie DoughtyD 80%8 of 10 Pro 🔒
Reuell WaltersD 67%2 of 3 Pro 🔒
Marvelous NakambaM 60%6 of 10 Pro 🔒

Queens Park Rangers
Jonathan VaraneM 67%2 of 3 Pro 🔒
Luton
No Luton player in this window.

Queens Park Rangers
No Queens Park Rangers player in this window.
Luton
Carlton MorrisF 30%3 of 10 Stats only
Elijah AdebayoF 30%3 of 10 Stats only

Queens Park Rangers
No Queens Park Rangers player in this window.
Luton
Thomas KaminskiG 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
Leigh Doughty refereed this match

7 matches 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.