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Player stats · 22/23

Reading v Queens Park Rangers

Your slip follows you between games.

How often each Reading 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 Reading v Queens Park Rangers: Tom Ince (Reading) leads the home side for 1+ shots on target — 6 of 10 (60%); Ilias Chair (Queens Park Rangers) tops the visitors on 7 of 10 (70%). Raw hit rates from recent matches, not odds.

Window
Last
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 25/26 figures from completed matches: Last N is their last N games; Season is their whole 25/26; H2H is only games against this opponent.

1+ shots

Reading
Tom InceF 90%9 of 10 Pro 🔒
Junior HoilettM 90%9 of 10 Pro 🔒
Yakou MéïtéF 90%9 of 10 Pro 🔒
Jeff HendrickM 70%7 of 10 Pro 🔒
Andy CarrollF 70%7 of 10 Pro 🔒
Lucas JoãoF 70%7 of 10 Pro 🔒
Mamadou LoumM 60%6 of 10 Pro 🔒
Queens Park Rangers
Lyndon DykesF 100%10 of 10 Pro 🔒
Chris WillockM 100%10 of 10 Pro 🔒
Ilias ChairM 90%9 of 10 Pro 🔒
Tim IroegbunamM 70%7 of 10 Pro 🔒
Tyler RobertsM 70%7 of 10 Pro 🔒
Ethan LairdD 60%6 of 10 Pro 🔒

2+ shots

Reading
Tom InceF 80%8 of 10 Pro 🔒
Queens Park Rangers
Ilias ChairM 70%7 of 10 Pro 🔒
Lyndon DykesF 70%7 of 10 Pro 🔒
Tim IroegbunamM 60%6 of 10 Pro 🔒
Tyler RobertsM 60%6 of 10 Pro 🔒

1+ shots on target

Reading
Tom InceF 60%6 of 10 Pro 🔒
Queens Park Rangers
Ilias ChairM 70%7 of 10 Pro 🔒
Lyndon DykesF 60%6 of 10 Pro 🔒

1+ fouls committed

Reading
Sam HutchinsonM 100%10 of 10 Pro 🔒
Junior HoilettM 80%8 of 10 Pro 🔒
Andy CarrollF 70%7 of 10 Pro 🔒
Mamadou LoumM 70%7 of 10 Pro 🔒
Queens Park Rangers
Tyler RobertsM 90%9 of 10 Pro 🔒
Tim IroegbunamM 80%8 of 10 Pro 🔒
Sam FieldM 70%7 of 10 Pro 🔒
Lyndon DykesF 70%7 of 10 Pro 🔒
Kenneth PaalD 60%6 of 10 Pro 🔒

2+ fouls committed

Reading
Junior HoilettM 60%6 of 10 Pro 🔒
Mamadou LoumM 60%6 of 10 Pro 🔒
Queens Park Rangers
No Queens Park Rangers player in this window.

1+ fouls won

Reading
Andy YiadomD 70%7 of 10 Pro 🔒
Tom InceF 70%7 of 10 Pro 🔒
Lucas JoãoF 60%6 of 10 Pro 🔒
Yakou MéïtéF 60%6 of 10 Pro 🔒
Queens Park Rangers
Ethan LairdD 90%9 of 10 Pro 🔒
Tim IroegbunamM 80%8 of 10 Pro 🔒
Tyler RobertsM 70%7 of 10 Pro 🔒
Jimmy DunneD 60%6 of 10 Pro 🔒
Sam FieldM 60%6 of 10 Pro 🔒

2+ fouls won

Reading
Tom InceF 60%6 of 10 Pro 🔒
Queens Park Rangers
Ethan LairdD 60%6 of 10 Pro 🔒
Tim IroegbunamM 60%6 of 10 Pro 🔒

To be carded

Reading
Mamadou LoumM 60%6 of 10 Pro 🔒
Queens Park Rangers
No Queens Park Rangers player in this window.

1+ goals

Reading
Tom InceF 30%3 of 10 Stats only
Andy CarrollF 30%3 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
Darren Bond refereed this match 4.10cards/game 1.02×vs league 51games
Darren Bond'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.