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Player stats 25/26

Osasuna v Mallorca

Your slip follows you between games.

How often each Osasuna and Mallorca 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 Mallorca: Ante Budimir (Osasuna) leads the home side 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.

Osasuna
Ante BudimirF 100%10 of 10 Pro 🔒
Víctor MuñozM 90%9 of 10 Pro 🔒
Rubén GarcíaM 70%7 of 10 Pro 🔒
Aimar OrozM 70%7 of 10 Pro 🔒
Lucas TorróM 60%6 of 10 Pro 🔒
Jon MoncayolaM 60%6 of 10 Pro 🔒
Raúl MoroF 60%6 of 10 Pro 🔒
Mallorca
Vedat MuriqiF 90%9 of 10 Pro 🔒
Jan VirgiliF 60%6 of 10 Pro 🔒
Samú CostaM 60%6 of 10 Pro 🔒

Osasuna
Ante BudimirF 80%8 of 10 Pro 🔒
Mallorca
Vedat MuriqiF 70%7 of 10 Pro 🔒

Osasuna
No Osasuna player in this window.
Mallorca
Vedat MuriqiF 60%6 of 10 Pro 🔒

Osasuna
Ante BudimirF 60%6 of 10 Pro 🔒
Mallorca
No Mallorca player in this window.

Osasuna
Rubén GarcíaM 80%8 of 10 Pro 🔒
Valentin RosierD 80%8 of 10 Pro 🔒
Jorge HerrandoD 80%8 of 10 Pro 🔒
Jon MoncayolaM 80%8 of 10 Pro 🔒
Ante BudimirF 70%7 of 10 Pro 🔒
Aimar OrozM 70%7 of 10 Pro 🔒
Víctor MuñozM 60%6 of 10 Pro 🔒
Javi GalánD 60%6 of 10 Pro 🔒
Alejandro CatenaD 60%6 of 10 Pro 🔒
Mallorca
Omar MascarellM 90%9 of 10 Pro 🔒
Samú CostaM 90%9 of 10 Pro 🔒
Vedat MuriqiF 80%8 of 10 Pro 🔒
Pablo MaffeoD 60%6 of 10 Pro 🔒

Osasuna
Rubén GarcíaM 60%6 of 10 Pro 🔒
Jon MoncayolaM 60%6 of 10 Pro 🔒
Mallorca
Samú CostaM 60%6 of 10 Pro 🔒

Osasuna
Víctor MuñozM 100%10 of 10 Pro 🔒
Ante BudimirF 90%9 of 10 Pro 🔒
Aimar OrozM 90%9 of 10 Pro 🔒
Javi GalánD 80%8 of 10 Pro 🔒
Lucas TorróM 60%6 of 10 Pro 🔒
Mallorca
Samú CostaM 90%9 of 10 Pro 🔒
Jan VirgiliF 70%7 of 10 Pro 🔒
Vedat MuriqiF 70%7 of 10 Pro 🔒
Sergi DarderM 60%6 of 10 Pro 🔒
Antonio RaílloD 60%6 of 10 Pro 🔒

Osasuna
Javi GalánD 60%6 of 10 Pro 🔒
Aimar OrozM 60%6 of 10 Pro 🔒
Mallorca
Samú CostaM 70%7 of 10 Pro 🔒

Osasuna
Rubén GarcíaM 100%10 of 10 Pro 🔒
Javi GalánD 100%10 of 10 Pro 🔒
Valentin RosierD 90%9 of 10 Pro 🔒
Jon MoncayolaM 80%8 of 10 Pro 🔒
Alejandro CatenaD 70%7 of 10 Pro 🔒
Jorge HerrandoD 70%7 of 10 Pro 🔒
Aimar OrozM 70%7 of 10 Pro 🔒
Mallorca
Pablo MaffeoD 100%10 of 10 Pro 🔒
Samú CostaM 90%9 of 10 Pro 🔒
David LópezD 86%6 of 7 Pro 🔒
Antonio RaílloD 80%8 of 10 Pro 🔒
Antonio SánchezM 80%8 of 10 Pro 🔒
Omar MascarellM 70%7 of 10 Pro 🔒
Jan VirgiliF 60%6 of 10 Pro 🔒

Osasuna
Javi GalánD 70%7 of 10 Pro 🔒
Rubén GarcíaM 60%6 of 10 Pro 🔒
Mallorca
Pablo MaffeoD 70%7 of 10 Pro 🔒
Omar MascarellM 60%6 of 10 Pro 🔒
Samú CostaM 60%6 of 10 Pro 🔒

Osasuna
Ante BudimirF 60%6 of 10 Stats only
Raúl García de HaroF 30%3 of 10 Stats only
Mallorca
Vedat MuriqiF 50%5 of 10 Stats only

Osasuna
Raúl MoroF 40%4 of 10 Stats only
Jon MoncayolaM 30%3 of 10 Stats only
Mallorca
No Mallorca player in this window.

Osasuna
Sergio HerreraG 80%8 of 10 Stats only
Mallorca
Leo RománG 80%8 of 10 Stats only

Osasuna
No Osasuna player in this window.
Mallorca
Leo RománG 60%6 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+22% cards vs the league average
Alejandro Hernandez refereed this match 5.91cards a gameleague 4.86 81games
Alejandro Hernandez'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.