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Player stats 26/27

West Brom v Queens Park Rangers

Your slip follows you between games.

How often each West Brom and Queens Park Rangers 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 Brom v Queens Park Rangers: Isaac Price (West Brom) leads the home side for 1+ shots on target — 6 of 10 (60%); Paul Smyth (Queens Park Rangers) 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 Brom
Isaac PriceM 90%9 of 10 Pro 🔒
Jimmy MorganF 83%5 of 6 Pro 🔒
Ousmane DiakitéM 80%8 of 10 Pro 🔒
Kareem TundeF 70%7 of 10 Pro 🔒
Queens Park Rangers
Paul SmythM 100%10 of 10 Pro 🔒
Alfie LloydF 90%9 of 10 Pro 🔒
Harvey ValeM 90%9 of 10 Pro 🔒
Ronnie EdwardsD 60%6 of 10 Pro 🔒

West Brom
No West Brom player in this window.
Queens Park Rangers
Harvey ValeM 80%8 of 10 Pro 🔒
Paul SmythM 60%6 of 10 Pro 🔒

West Brom
No West Brom player in this window.
Queens Park Rangers
Harvey ValeM 60%6 of 10 Pro 🔒

West Brom
Isaac PriceM 60%6 of 10 Pro 🔒
Queens Park Rangers
Paul SmythM 80%8 of 10 Pro 🔒

West Brom
Jimmy MorganF 83%5 of 6 Pro 🔒
Felix Horn MyhreM 80%4 of 5 Pro 🔒
Ousmane DiakitéM 70%7 of 10 Pro 🔒
Toby CollyerMform earned at Hull City 60%6 of 10 Pro 🔒
Rabby NzingoulaM 60%6 of 10 Pro 🔒
George CampbellD 60%6 of 10 Pro 🔒
Queens Park Rangers
Jonathan VaraneM 70%7 of 10 Pro 🔒
Paul SmythM 70%7 of 10 Pro 🔒
Kealey AdamsonD 60%6 of 10 Pro 🔒
Kwame PokuM 60%6 of 10 Pro 🔒

West Brom
Jimmy MorganF 100%6 of 6 Pro 🔒
Jayson MolumbyM 90%9 of 10 Pro 🔒
Ousmane DiakitéM 90%9 of 10 Pro 🔒
Isaac PriceM 80%8 of 10 Pro 🔒
Kareem TundeF 70%7 of 10 Pro 🔒
Rabby NzingoulaM 60%6 of 10 Pro 🔒
Callum StylesD 60%6 of 10 Pro 🔒
Queens Park Rangers
Alfie LloydF 70%7 of 10 Pro 🔒
Paul SmythM 70%7 of 10 Pro 🔒

West Brom
Jimmy MorganF 67%4 of 6 Pro 🔒
Queens Park Rangers
No Queens Park Rangers player in this window.

West Brom
Conor TownsendD 90%9 of 10 Pro 🔒
Callum StylesD 90%9 of 10 Pro 🔒
Ousmane DiakitéM 90%9 of 10 Pro 🔒
Felix Horn MyhreM 80%4 of 5 Pro 🔒
Rabby NzingoulaM 70%7 of 10 Pro 🔒
Jayson MolumbyM 70%7 of 10 Pro 🔒
Nathaniel PhillipsD 60%6 of 10 Pro 🔒
Queens Park Rangers
Harvey ValeM 100%10 of 10 Pro 🔒
Jonathan VaraneM 70%7 of 10 Pro 🔒
Jake Clarke-SalterD 70%7 of 10 Pro 🔒
Ronnie EdwardsD 60%6 of 10 Pro 🔒
Alfie LloydF 60%6 of 10 Pro 🔒
Koki SaitoF 60%6 of 10 Pro 🔒

West Brom
Callum StylesD 70%7 of 10 Pro 🔒
Ousmane DiakitéM 60%6 of 10 Pro 🔒
Felix Horn MyhreM 60%3 of 5 Pro 🔒
Queens Park Rangers
No Queens Park Rangers player in this window.

West Brom
Jimmy MorganF 50%3 of 6 Stats only
Queens Park Rangers
No Queens Park Rangers player in this window.

West Brom
Jimmy MorganF 50%3 of 6 Stats only
Queens Park Rangers
No Queens Park Rangers player in this window.

West Brom
Max O'LearyG 70%7 of 10 Stats only
Queens Park Rangers
No Queens Park Rangers 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+23% cards vs the league average
Ruebyn Ricardo refereed this match 4.93cards a gameleague 4.01 27games
Ruebyn Ricardo'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.