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Player stats 25/26

Swansea City v Queens Park Rangers

Your slip follows you between games.

How often each Swansea City 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 Swansea City v Queens Park Rangers: Žan Vipotnik (Swansea City) leads the home side for 1+ shots — 7 of 10 (70%); Richard Kone (Queens Park Rangers) tops the visitors on 9 of 9 (100%). 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.

Swansea City
Žan VipotnikF 70%7 of 10 Pro 🔒
Liam CullenF 70%7 of 10 Pro 🔒
Zeidane InoussaM 70%7 of 10 Pro 🔒
Cameron BurgessD 70%7 of 10 Pro 🔒
RonaldF 60%6 of 10 Pro 🔒
Ethan GalbraithD 60%6 of 10 Pro 🔒
Gonçalo FrancoM 60%6 of 10 Pro 🔒
Queens Park Rangers
Richard KoneM 100%9 of 9 Pro 🔒
Ilias ChairM 90%9 of 10 Pro 🔒
Michael FreyF 70%7 of 10 Pro 🔒
Koki SaitoM 70%7 of 10 Pro 🔒
Karamoko DembéléM 70%7 of 10 Pro 🔒
Steve CookD 60%6 of 10 Pro 🔒
Rumarn BurrellF 60%6 of 10 Pro 🔒

Swansea City
No Swansea City player in this window.
Queens Park Rangers
Richard KoneM 78%7 of 9 Pro 🔒

Swansea City
Marko StamenićM 86%6 of 7 Pro 🔒
Liam CullenF 80%8 of 10 Pro 🔒
Zeidane InoussaM 80%8 of 10 Pro 🔒
Ji-sung EomM 60%6 of 10 Pro 🔒
Gonçalo FrancoM 60%6 of 10 Pro 🔒
Queens Park Rangers
Rumarn BurrellF 70%7 of 10 Pro 🔒
Richard KoneM 67%6 of 9 Pro 🔒
Michael FreyF 60%6 of 10 Pro 🔒
Isaac HaydenM 60%6 of 10 Pro 🔒
Paul SmythM 60%6 of 10 Pro 🔒

Swansea City
RonaldF 100%10 of 10 Pro 🔒
Gonçalo FrancoM 100%10 of 10 Pro 🔒
Zeidane InoussaM 80%8 of 10 Pro 🔒
Ethan GalbraithD 70%7 of 10 Pro 🔒
Josh KeyD 70%7 of 10 Pro 🔒
Queens Park Rangers
Paul SmythM 80%8 of 10 Pro 🔒
Koki SaitoM 70%7 of 10 Pro 🔒
Karamoko DembéléM 70%7 of 10 Pro 🔒
Jonathan VaraneM 60%6 of 10 Pro 🔒
Jimmy DunneD 60%6 of 10 Pro 🔒

Swansea City
RonaldF 80%8 of 10 Pro 🔒
Gonçalo FrancoM 60%6 of 10 Pro 🔒
Queens Park Rangers
No Queens Park Rangers player in this window.

Swansea City
Marko StamenićM 100%7 of 7 Pro 🔒
Gonçalo FrancoM 90%9 of 10 Pro 🔒
Cameron BurgessD 80%8 of 10 Pro 🔒
Josh KeyD 80%8 of 10 Pro 🔒
Ben CabangoD 80%8 of 10 Pro 🔒
Josh TymonD 70%7 of 10 Pro 🔒
Ji-sung EomM 60%6 of 10 Pro 🔒
RonaldF 60%6 of 10 Pro 🔒
Ethan GalbraithD 60%6 of 10 Pro 🔒
Queens Park Rangers
Jonathan VaraneM 90%9 of 10 Pro 🔒
Jimmy DunneD 90%9 of 10 Pro 🔒
Nicolas MadsenM 90%9 of 10 Pro 🔒
Koki SaitoM 80%8 of 10 Pro 🔒
Ilias ChairM 70%7 of 10 Pro 🔒
Sam FieldD 70%7 of 10 Pro 🔒
Michael FreyF 60%6 of 10 Pro 🔒

Swansea City
Ben CabangoD 80%8 of 10 Pro 🔒
Gonçalo FrancoM 80%8 of 10 Pro 🔒
Queens Park Rangers
Jimmy DunneD 60%6 of 10 Pro 🔒

Swansea City
Ben CabangoD 60%6 of 10 Pro 🔒
Gonçalo FrancoM 60%6 of 10 Pro 🔒
Queens Park Rangers
No Queens Park Rangers player in this window.

Swansea City
Žan VipotnikF 40%4 of 10 Stats only
RonaldF 30%3 of 10 Stats only
Queens Park Rangers
Richard KoneM 44%4 of 9 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
John Busby refereed this match 3.80cards a gameleague 4.01 101games
John Busby'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.