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SharpXI©
Player stats 26/27

FC Barcelona v Levante UD

Your slip follows you between games.

How often each FC Barcelona and Levante UD 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 FC Barcelona v Levante UD on Sun 21 Feb: Raphinha (FC Barcelona) leads the home side for 1+ shots on target — 10 of 10 (100%). Raw hit rates from recent matches, not odds.

Predicted line-up — not the team sheet Our best guess at the shape, from recent selections. Team sheets usually land about an hour before kick-off.
What sits behind these numbers

Line-ups aren't confirmed, so the players shown are a likely XI from each club's recent selections — injuries and suspensions are filtered out where we know them. Hit rates are their recent form, not a forecast for this match.

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.

FC Barcelona
RaphinhaF 100%10 of 10 Pro 🔒
Gabriel JesusF 70%7 of 10 Pro 🔒
Roony BardghjiF 60%6 of 10 Pro 🔒
Levante UD
Iván RomeroF 90%9 of 10 Pro 🔒
Roger BruguéF 90%9 of 10 Pro 🔒
Thiago FernándezF 80%8 of 10 Pro 🔒
Paco CortésF 80%8 of 10 Pro 🔒
Etta EyongF 70%7 of 10 Pro 🔒

FC Barcelona
RaphinhaF 100%10 of 10 Pro 🔒
Levante UD
Roger BruguéF 70%7 of 10 Pro 🔒

FC Barcelona
RaphinhaF 80%8 of 10 Pro 🔒
Levante UD
No Levante UD player in this window.

FC Barcelona
RaphinhaF 100%10 of 10 Pro 🔒
Levante UD
No Levante UD player in this window.

FC Barcelona
RaphinhaF 60%6 of 10 Pro 🔒
Levante UD
No Levante UD player in this window.

FC Barcelona
Pablo GaviM 60%6 of 10 Pro 🔒
Levante UD
Oriol ReyM 80%8 of 10 Pro 🔒
Hugo SoteloM 70%7 of 10 Pro 🔒
Víctor GarcíaD 70%7 of 10 Pro 🔒
Iván RomeroF 60%6 of 10 Pro 🔒
Etta EyongF 60%6 of 10 Pro 🔒

FC Barcelona
Pablo GaviM 80%8 of 10 Pro 🔒
Frenkie de JongM 60%6 of 10 Pro 🔒
Levante UD
Iván RomeroF 70%7 of 10 Pro 🔒
Manuel SánchezD 70%7 of 10 Pro 🔒

FC Barcelona
Xavi EspartD 89%8 of 9 Pro 🔒
Gerard MartínD 70%7 of 10 Pro 🔒
Pablo GaviM 70%7 of 10 Pro 🔒
Marc BernalM 60%6 of 10 Pro 🔒
Frenkie de JongM 60%6 of 10 Pro 🔒
RaphinhaF 60%6 of 10 Pro 🔒
Levante UD
Enzo BardeliM 88%7 of 8 Pro 🔒
Thiago FernándezF 80%8 of 10 Pro 🔒
Oriol ReyM 80%8 of 10 Pro 🔒
Manuel SánchezD 80%8 of 10 Pro 🔒
Iván RomeroF 70%7 of 10 Pro 🔒
Hugo SoteloM 70%7 of 10 Pro 🔒
Nacho PérezD 62%5 of 8 Pro 🔒
Aïssa MandiD 60%6 of 10 Pro 🔒
Víctor GarcíaD 60%6 of 10 Pro 🔒

FC Barcelona
No FC Barcelona player in this window.
Levante UD
Manuel SánchezD 70%7 of 10 Pro 🔒

FC Barcelona
No FC Barcelona player in this window.
Levante UD
Manuel SánchezD 60%6 of 10 Pro 🔒

FC Barcelona
RaphinhaF 70%7 of 10 Stats only
Gabriel JesusF 30%3 of 10 Stats only
Levante UD
Roger BruguéF 30%3 of 10 Stats only

FC Barcelona
No FC Barcelona player in this window.
Levante UD
Jon Ander OlasagastiM 30%3 of 10 Stats only

FC Barcelona
No FC Barcelona player in this window.
Levante UD
Mathew RyanG 80%8 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

Not appointed yet — referees are usually confirmed two to three days before kick-off. See the referee panel

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.