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Queens Park Rangers v Leeds

Your slip follows you between games.

How often each Queens Park Rangers and Leeds 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 Leeds: Michael Frey (Queens Park Rangers) leads the home side for 1+ shots on target — 6 of 10 (60%); Daniel James (Leeds) 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.

Queens Park Rangers
Michael FreyF 100%10 of 10 Pro 🔒
Jimmy DunneD 90%9 of 10 Pro 🔒
Ronnie EdwardsM 80%8 of 10 Pro 🔒
Koki SaitoM 80%8 of 10 Pro 🔒
Leeds
Daniel JamesM 100%10 of 10 Pro 🔒
Joël PiroeF 90%9 of 10 Pro 🔒
Manor SolomonM 90%9 of 10 Pro 🔒
Ao TanakaM 70%7 of 10 Pro 🔒
Largie RamazaniF 70%7 of 10 Pro 🔒
Jayden BogleD 70%7 of 10 Pro 🔒
Brenden AaronsonM 70%7 of 10 Pro 🔒
Joe RodonD 60%6 of 10 Pro 🔒

Queens Park Rangers
No Queens Park Rangers player in this window.
Leeds
Daniel JamesM 100%10 of 10 Pro 🔒
Joël PiroeF 80%8 of 10 Pro 🔒
Manor SolomonM 60%6 of 10 Pro 🔒

Queens Park Rangers
No Queens Park Rangers player in this window.
Leeds
Daniel JamesM 90%9 of 10 Pro 🔒

Queens Park Rangers
Michael FreyF 60%6 of 10 Pro 🔒
Leeds
Daniel JamesM 70%7 of 10 Pro 🔒
Joël PiroeF 70%7 of 10 Pro 🔒
Manor SolomonM 60%6 of 10 Pro 🔒

Queens Park Rangers
Michael FreyF 70%7 of 10 Pro 🔒
Ronnie EdwardsM 60%6 of 10 Pro 🔒
Paul SmythM 60%6 of 10 Pro 🔒
Jimmy DunneD 60%6 of 10 Pro 🔒
Leeds
Jayden BogleD 90%9 of 10 Pro 🔒
Junior FirpoD 70%7 of 10 Pro 🔒
Ao TanakaM 60%6 of 10 Pro 🔒
Brenden AaronsonM 60%6 of 10 Pro 🔒

Queens Park Rangers
Koki SaitoM 80%8 of 10 Pro 🔒
Paul SmythM 70%7 of 10 Pro 🔒
Jimmy DunneD 70%7 of 10 Pro 🔒
Karamoko DembéléF 70%7 of 10 Pro 🔒
Ronnie EdwardsM 60%6 of 10 Pro 🔒
Michael FreyF 60%6 of 10 Pro 🔒
Kenneth PaalD 60%6 of 10 Pro 🔒
Leeds
Jayden BogleD 90%9 of 10 Pro 🔒
Brenden AaronsonM 90%9 of 10 Pro 🔒
Manor SolomonM 80%8 of 10 Pro 🔒
Daniel JamesM 60%6 of 10 Pro 🔒
Ao TanakaM 60%6 of 10 Pro 🔒
Junior FirpoD 60%6 of 10 Pro 🔒

Queens Park Rangers
Jimmy DunneD 90%9 of 10 Pro 🔒
Koki SaitoM 80%8 of 10 Pro 🔒
Kenneth PaalD 70%7 of 10 Pro 🔒
Morgan FoxD 60%6 of 10 Pro 🔒
Paul SmythM 60%6 of 10 Pro 🔒
Karamoko DembéléF 60%6 of 10 Pro 🔒
Leeds
Jayden BogleD 90%9 of 10 Pro 🔒
Ao TanakaM 80%8 of 10 Pro 🔒
Junior FirpoD 80%8 of 10 Pro 🔒
Brenden AaronsonM 70%7 of 10 Pro 🔒
Joe RothwellM 60%6 of 10 Pro 🔒
Daniel JamesM 60%6 of 10 Pro 🔒

Queens Park Rangers
Jimmy DunneD 80%8 of 10 Pro 🔒
Leeds
Ao TanakaM 70%7 of 10 Pro 🔒
Jayden BogleD 70%7 of 10 Pro 🔒

Queens Park Rangers
Jimmy DunneD 60%6 of 10 Pro 🔒
Leeds
No Leeds player in this window.

Queens Park Rangers
Michael FreyF 30%3 of 10 Stats only
Leeds
Joël PiroeF 40%4 of 10 Stats only
Daniel JamesM 30%3 of 10 Stats only
Manor SolomonM 30%3 of 10 Stats only

Queens Park Rangers
No Queens Park Rangers player in this window.
Leeds
Daniel JamesM 40%4 of 10 Stats only
Junior FirpoD 40%4 of 10 Stats only
Manor SolomonM 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+14% cards vs the league average
Tim Robinson refereed this match 4.59cards a gameleague 4.01 56games
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.