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Player stats 25/26

Rayo Vallecano v Girona FC

Your slip follows you between games.

How often each Rayo Vallecano and Girona FC 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 Rayo Vallecano v Girona FC: Jorge de Frutos (Rayo Vallecano) leads the home side for 1+ shots on target — 9 of 10 (90%). 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.

Rayo Vallecano
Jorge de FrutosF 90%9 of 10 Pro 🔒
Pedro DíazM 80%8 of 10 Pro 🔒
PachaD 70%7 of 10 Pro 🔒
Florian LejeuneD 70%7 of 10 Pro 🔒
Sergio CamelloF 70%7 of 10 Pro 🔒
Pathé Ismaël CissD 70%7 of 10 Pro 🔒
Andrei RațiuD 60%6 of 10 Pro 🔒
Girona FC
Azzedine OunahiF 90%9 of 10 Pro 🔒
Viktor TsygankovM 80%8 of 10 Pro 🔒
Claudio EcheverriM 70%7 of 10 Pro 🔒
Vitor ReisD 70%7 of 10 Pro 🔒
Arnau MartínezD 60%6 of 10 Pro 🔒
Joel RocaM 60%6 of 10 Pro 🔒

Rayo Vallecano
Jorge de FrutosF 70%7 of 10 Pro 🔒
Florian LejeuneD 60%6 of 10 Pro 🔒
Girona FC
Azzedine OunahiF 70%7 of 10 Pro 🔒

Rayo Vallecano
Jorge de FrutosF 90%9 of 10 Pro 🔒
Girona FC
No Girona FC player in this window.

Rayo Vallecano
Pathé Ismaël CissD 90%9 of 10 Pro 🔒
Carlos MartínF 80%8 of 10 Pro 🔒
Nobel MendyD 80%8 of 10 Pro 🔒
Unai LópezM 70%7 of 10 Pro 🔒
Gerard GumbauM 60%6 of 10 Pro 🔒
Florian LejeuneD 60%6 of 10 Pro 🔒
Andrei RațiuD 60%6 of 10 Pro 🔒
Girona FC
Vitor ReisD 70%7 of 10 Pro 🔒
Hugo RincónD 60%6 of 10 Pro 🔒
Axel WitselM 60%6 of 10 Pro 🔒

Rayo Vallecano
Jorge de FrutosF 70%7 of 10 Pro 🔒
Fran PérezF 70%7 of 10 Pro 🔒
AlemãoF 70%7 of 10 Pro 🔒
Pep ChavarríaD 60%6 of 10 Pro 🔒
PachaD 60%6 of 10 Pro 🔒
Unai LópezM 60%6 of 10 Pro 🔒
Florian LejeuneD 60%6 of 10 Pro 🔒
Girona FC
Azzedine OunahiF 90%9 of 10 Pro 🔒
Hugo RincónD 80%8 of 10 Pro 🔒
Vitor ReisD 70%7 of 10 Pro 🔒
Axel WitselM 70%7 of 10 Pro 🔒
Joel RocaM 60%6 of 10 Pro 🔒
Claudio EcheverriM 60%6 of 10 Pro 🔒
Viktor TsygankovM 60%6 of 10 Pro 🔒

Rayo Vallecano
Florian LejeuneD 100%10 of 10 Pro 🔒
Carlos MartínF 90%9 of 10 Pro 🔒
Gerard GumbauM 90%9 of 10 Pro 🔒
PachaD 90%9 of 10 Pro 🔒
Pep ChavarríaD 80%8 of 10 Pro 🔒
Andrei RațiuD 80%8 of 10 Pro 🔒
Nobel MendyD 70%7 of 10 Pro 🔒
Unai LópezM 70%7 of 10 Pro 🔒
Óscar ValentínM 70%7 of 10 Pro 🔒
Pedro DíazM 60%6 of 10 Pro 🔒
Pathé Ismaël CissD 60%6 of 10 Pro 🔒
Girona FC
Arnau MartínezD 100%10 of 10 Pro 🔒
Vitor ReisD 90%9 of 10 Pro 🔒
Hugo RincónD 80%8 of 10 Pro 🔒
Axel WitselM 80%8 of 10 Pro 🔒
Azzedine OunahiF 80%8 of 10 Pro 🔒
Alejandro FrancésD 70%7 of 10 Pro 🔒
Thomas LemarM 70%7 of 10 Pro 🔒
Joel RocaM 60%6 of 10 Pro 🔒
Fran BeltránM 60%6 of 10 Pro 🔒
Iván MartínM 60%6 of 10 Pro 🔒

Rayo Vallecano
PachaD 80%8 of 10 Pro 🔒
Girona FC
Vitor ReisD 70%7 of 10 Pro 🔒

Rayo Vallecano
Nobel MendyD 60%6 of 10 Pro 🔒
Girona FC
No Girona FC player in this window.

Rayo Vallecano
Sergio CamelloF 30%3 of 10 Stats only
Girona FC
No Girona FC player in this window.

Rayo Vallecano
Augusto BatallaG 60%6 of 10 Stats only
Girona FC
Paulo GazzanigaG 70%7 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
Guillermo Cuadra Fernandez refereed this match 5.17cards a gameleague 4.86 72games
Guillermo Cuadra Fernandez'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.