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Player stats 23/24

Rotherham United v Queens Park Rangers

Your slip follows you between games.

How often each Rotherham United 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 Rotherham United v Queens Park Rangers: Lyndon Dykes (Queens Park Rangers) tops the visitors for 1+ shots on target — 6 of 10 (60%). 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.

Rotherham United
Fred OnyedinmaF 90%9 of 10 Pro 🔒
Jordan HugillF 70%7 of 10 Pro 🔒
Oliver RathboneM 60%6 of 10 Pro 🔒
Queens Park Rangers
Ilias ChairF 90%9 of 10 Pro 🔒
Lyndon DykesF 70%7 of 10 Pro 🔒
Sinclair ArmstrongF 70%7 of 10 Pro 🔒

Rotherham United
Fred OnyedinmaF 60%6 of 10 Pro 🔒
Queens Park Rangers
Ilias ChairF 70%7 of 10 Pro 🔒

Rotherham United
No Rotherham United player in this window.
Queens Park Rangers
Lyndon DykesF 60%6 of 10 Pro 🔒

Rotherham United
Jordan HugillF 90%9 of 10 Pro 🔒
Daniel AyalaDform earned at Blackburn Rovers 80%8 of 10 Pro 🔒
Georgie KellyF 70%7 of 10 Pro 🔒
Christ Junior TiehiM 70%7 of 10 Pro 🔒
Sean MorrisonD 67%4 of 6 Pro 🔒
Tom EavesF 60%6 of 10 Pro 🔒
Oliver RathboneM 60%6 of 10 Pro 🔒
Queens Park Rangers
Ilias ChairF 90%9 of 10 Pro 🔒
Paul SmythF 90%9 of 10 Pro 🔒
Sinclair ArmstrongF 80%8 of 10 Pro 🔒
Osman KakayD 70%7 of 10 Pro 🔒
Lyndon DykesF 70%7 of 10 Pro 🔒
Reggie CannonD 67%2 of 3 Pro 🔒

Rotherham United
Jordan HugillF 70%7 of 10 Pro 🔒
Queens Park Rangers
No Queens Park Rangers player in this window.

Rotherham United
Jordan HugillF 80%8 of 10 Pro 🔒
CafúM 70%7 of 10 Pro 🔒
Fred OnyedinmaF 70%7 of 10 Pro 🔒
Queens Park Rangers
Kenneth PaalD 80%8 of 10 Pro 🔒
Paul SmythF 80%8 of 10 Pro 🔒
Sam FieldM 70%7 of 10 Pro 🔒
Lyndon DykesF 70%7 of 10 Pro 🔒
Chris WillockM 60%6 of 10 Pro 🔒
Sinclair ArmstrongF 60%6 of 10 Pro 🔒

Rotherham United
Dexter LembikisaD 90%9 of 10 Pro 🔒
Oliver RathboneM 90%9 of 10 Pro 🔒
Christ Junior TiehiM 90%9 of 10 Pro 🔒
Hakeem OdofinD 70%7 of 10 Pro 🔒
Sean MorrisonD 67%4 of 6 Pro 🔒
Fred OnyedinmaF 60%6 of 10 Pro 🔒
Sam ClucasF 60%6 of 10 Pro 🔒
Daniel AyalaDform earned at Blackburn Rovers 60%6 of 10 Pro 🔒
Cohen BramallD 60%6 of 10 Pro 🔒
Queens Park Rangers
Albert AdomahM 90%9 of 10 Pro 🔒
Sam FieldM 90%9 of 10 Pro 🔒
Kenneth PaalD 80%8 of 10 Pro 🔒
Osman KakayD 70%7 of 10 Pro 🔒
Reggie CannonD 67%2 of 3 Pro 🔒
Ilias ChairF 60%6 of 10 Pro 🔒
Paul SmythF 60%6 of 10 Pro 🔒

Rotherham United
Oliver RathboneM 70%7 of 10 Pro 🔒
Dexter LembikisaD 60%6 of 10 Pro 🔒
Queens Park Rangers
Sam FieldM 80%8 of 10 Pro 🔒
Kenneth PaalD 70%7 of 10 Pro 🔒

Rotherham United
Jordan HugillF 30%3 of 10 Stats only
Hakeem OdofinD 30%3 of 10 Stats only
Queens Park Rangers
No Queens Park Rangers player in this window.

Rotherham United
CafúM 30%3 of 10 Stats only
Queens Park Rangers
No Queens Park Rangers player in this window.

Rotherham United
Viktor JohanssonG 100%10 of 10 Stats only
Queens Park Rangers
Asmir BegovićG 70%7 of 10 Stats only

Rotherham United
Viktor JohanssonG 60%6 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-20% cards vs the league average
Samuel Barrott refereed this match 3.21cards a gameleague 4.01 28games
Samuel Barrott'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.