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Player stats 25/26

Real Betis v Olympique Lyonnais

Your slip follows you between games.

How often each Real Betis and Olympique Lyonnais 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 Real Betis v Olympique Lyonnais: Abdessamad Ezzalzouli (Real Betis) leads the home side for 1+ shots on target — 7 of 10 (70%). 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 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.

Real Betis
Giovani Lo CelsoM 90%9 of 10 Pro 🔒
Pablo FornalsM 90%9 of 10 Pro 🔒
AntonyM 90%9 of 10 Pro 🔒
Rodrigo RiquelmeM 60%6 of 10 Pro 🔒
Olympique Lyonnais
Pavel ŠulcM 80%8 of 10 Pro 🔒
Martín SatrianoF 60%6 of 10 Pro 🔒
Tyler MortonM 60%6 of 10 Pro 🔒

Real Betis
AntonyM 80%8 of 10 Pro 🔒
Olympique Lyonnais
Pavel ŠulcM 60%6 of 10 Pro 🔒

Real Betis
AntonyM 60%6 of 10 Pro 🔒
Olympique Lyonnais
No Olympique Lyonnais player in this window.

Real Betis
AntonyM 70%7 of 10 Pro 🔒
Olympique Lyonnais
No Olympique Lyonnais player in this window.

Real Betis
Nelson DeossaM 75%3 of 4 Pro 🔒
Sergi AltimiraM 70%7 of 10 Pro 🔒
NatanD 60%6 of 10 Pro 🔒
AntonyM 60%6 of 10 Pro 🔒
Olympique Lyonnais
Adam KarabecM 80%8 of 10 Pro 🔒
Clinton MataD 70%7 of 10 Pro 🔒
Nicolás TagliaficoD 70%7 of 10 Pro 🔒
Moussa NiakhatéD 70%7 of 10 Pro 🔒
Martín SatrianoF 70%7 of 10 Pro 🔒
Abner ViníciusD 70%7 of 10 Pro 🔒
Afonso MoreiraF 67%6 of 9 Pro 🔒
Khalis MerahM 67%4 of 6 Pro 🔒
Pavel ŠulcM 60%6 of 10 Pro 🔒
Tyler MortonM 60%6 of 10 Pro 🔒

Real Betis
AntonyM 100%10 of 10 Pro 🔒
Giovani Lo CelsoM 90%9 of 10 Pro 🔒
Sergi AltimiraM 60%6 of 10 Pro 🔒
Pablo FornalsM 60%6 of 10 Pro 🔒
Olympique Lyonnais
Adam KarabecM 70%7 of 10 Pro 🔒
Khalis MerahM 67%4 of 6 Pro 🔒
Tanner TessmannM 60%6 of 10 Pro 🔒
Moussa NiakhatéD 60%6 of 10 Pro 🔒

Real Betis
Giovani Lo CelsoM 80%8 of 10 Pro 🔒
AntonyM 70%7 of 10 Pro 🔒
Olympique Lyonnais
No Olympique Lyonnais player in this window.

Real Betis
Valentín GómezD 88%7 of 8 Pro 🔒
Sergi AltimiraM 80%8 of 10 Pro 🔒
Diego LlorenteD 80%8 of 10 Pro 🔒
Pablo FornalsM 80%8 of 10 Pro 🔒
Marc RocaM 60%6 of 10 Pro 🔒
AntonyM 60%6 of 10 Pro 🔒
Olympique Lyonnais
Tyler MortonM 90%9 of 10 Pro 🔒
Clinton MataD 70%7 of 10 Pro 🔒
Nicolás TagliaficoD 70%7 of 10 Pro 🔒
Tanner TessmannM 60%6 of 10 Pro 🔒
Moussa NiakhatéD 60%6 of 10 Pro 🔒
Abner ViníciusD 60%6 of 10 Pro 🔒

Real Betis
Sergi AltimiraM 80%8 of 10 Pro 🔒
Valentín GómezD 75%6 of 8 Pro 🔒
Olympique Lyonnais

Real Betis
Sergi AltimiraM 70%7 of 10 Pro 🔒
Olympique Lyonnais
No Olympique Lyonnais player in this window.

Real Betis
Abdessamad EzzalzouliM 30%3 of 10 Stats only
AntonyM 30%3 of 10 Stats only
Olympique Lyonnais
Pavel ŠulcM 30%3 of 10 Stats only

Real Betis
Pablo FornalsM 30%3 of 10 Stats only
Olympique Lyonnais
No Olympique Lyonnais player in this window.

Real Betis
Álvaro VallesG 60%6 of 10 Stats only
Olympique Lyonnais
No Olympique Lyonnais 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+16% cards vs the league average
Matej Jug refereed this match 5.27cards a gameleague 4.55 15games
Matej Jug'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.