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SharpXI©
Player stats 26/27

Osasuna v Rayo Vallecano

Your slip follows you between games.

How often each Osasuna and Rayo Vallecano 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 Osasuna v Rayo Vallecano: Ante Budimir (Osasuna) leads the home side for 1+ shots on target — 7 of 10 (70%); Sergio Camello (Rayo Vallecano) 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.

Osasuna
Ante BudimirF 90%9 of 10 Pro 🔒
Lucas TorróM 60%6 of 10 Pro 🔒
Rubén GarcíaF 60%6 of 10 Pro 🔒
Rayo Vallecano
Sergio CamelloF 90%9 of 10 Pro 🔒
Giorgi TsitaishviliF 80%8 of 10 Pro 🔒
Florian LejeuneD 80%8 of 10 Pro 🔒
Álvaro GarcíaF 70%7 of 10 Pro 🔒
Pedro DíazM 70%7 of 10 Pro 🔒
Andrei RațiuD 60%6 of 10 Pro 🔒
AlemãoF 60%6 of 10 Pro 🔒

Osasuna
No Osasuna player in this window.
Rayo Vallecano
Sergio CamelloF 90%9 of 10 Pro 🔒
Florian LejeuneD 60%6 of 10 Pro 🔒
Pedro DíazM 60%6 of 10 Pro 🔒

Osasuna
No Osasuna player in this window.
Rayo Vallecano
Sergio CamelloF 60%6 of 10 Pro 🔒

Osasuna
Ante BudimirF 70%7 of 10 Pro 🔒
Rayo Vallecano
Sergio CamelloF 80%8 of 10 Pro 🔒

Osasuna
No Osasuna player in this window.
Rayo Vallecano
Sergio CamelloF 70%7 of 10 Pro 🔒

Osasuna
Lucas TorróM 80%8 of 10 Pro 🔒
Abel BretonesD 70%7 of 10 Pro 🔒
Iker MuñozM 70%7 of 10 Pro 🔒
Asier OsambelaD 70%7 of 10 Pro 🔒
Ante BudimirF 70%7 of 10 Pro 🔒
Iñigo ArguibideD 60%6 of 10 Pro 🔒
Rubén GarcíaF 60%6 of 10 Pro 🔒
Jon MoncayolaM 60%6 of 10 Pro 🔒
Rayo Vallecano
Unai LópezM 80%8 of 10 Pro 🔒
Gnangoro BouaréM 75%3 of 4 Pro 🔒
AlemãoF 70%7 of 10 Pro 🔒
Florian LejeuneD 60%6 of 10 Pro 🔒
Óscar ValentínM 60%6 of 10 Pro 🔒

Osasuna
Ante BudimirF 90%9 of 10 Pro 🔒
Iker MuñozM 80%8 of 10 Pro 🔒
Diego RicoD 60%6 of 10 Pro 🔒
Rayo Vallecano
Sergio CamelloF 80%8 of 10 Pro 🔒
Gnangoro BouaréM 75%3 of 4 Pro 🔒
AlemãoF 70%7 of 10 Pro 🔒
Jorge de FrutosF 60%6 of 10 Pro 🔒
Óscar ValentínM 60%6 of 10 Pro 🔒

Osasuna
Ante BudimirF 60%6 of 10 Pro 🔒
Rayo Vallecano
Sergio CamelloF 60%6 of 10 Pro 🔒

Osasuna
Jon MoncayolaM 100%10 of 10 Pro 🔒
Abel BretonesD 70%7 of 10 Pro 🔒
Lucas TorróM 70%7 of 10 Pro 🔒
Rubén GarcíaF 70%7 of 10 Pro 🔒
Iñigo ArguibideD 60%6 of 10 Pro 🔒
Alejandro CatenaD 60%6 of 10 Pro 🔒
Rayo Vallecano
Gnangoro BouaréM 100%4 of 4 Pro 🔒
Unai LópezM 90%9 of 10 Pro 🔒
Florian LejeuneD 90%9 of 10 Pro 🔒
Óscar ValentínM 90%9 of 10 Pro 🔒
Jorge de FrutosF 80%8 of 10 Pro 🔒
Pathé Ismaël CissM 80%8 of 10 Pro 🔒
Pedro DíazM 70%7 of 10 Pro 🔒
Sergio CamelloF 70%7 of 10 Pro 🔒
Adrià PedrosaD 70%7 of 10 Pro 🔒
Iván BalliuD 60%6 of 10 Pro 🔒

Osasuna
Jon MoncayolaM 70%7 of 10 Pro 🔒
Alejandro CatenaD 60%6 of 10 Pro 🔒
Rayo Vallecano
Florian LejeuneD 60%6 of 10 Pro 🔒
Óscar ValentínM 60%6 of 10 Pro 🔒

Osasuna
Ante BudimirF 40%4 of 10 Stats only
Rayo Vallecano
Sergio CamelloF 70%7 of 10 Stats only

Osasuna
No Osasuna player in this window.
Rayo Vallecano
Álvaro GarcíaF 30%3 of 10 Stats only
Unai LópezM 30%3 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
Manuel Jesus Orellana Cid refereed this match

4 matches on record — too few to quote a card rate against. See the 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.