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Player stats · 25/26

FC Barcelona v Paris Saint-Germain

How often each FC Barcelona and Paris Saint-Germain 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 Paris Saint-Germain: Lamine Yamal (FC Barcelona) leads the home side for 1+ shots on target — 9 of 10 (90%); Bradley Barcola (Paris Saint-Germain) 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 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.

FC Barcelona
Lamine YamalM 90%9 of 10 Pro 🔒
Dani OlmoM 90%9 of 10 Pro 🔒
Ferran TorresF 80%8 of 10 Pro 🔒
Marcus RashfordM 80%8 of 10 Pro 🔒
Robert LewandowskiF 80%8 of 10 Pro 🔒
Eric GarcíaD 70%7 of 10 Pro 🔒
PedriM 60%6 of 10 Pro 🔒
Paris Saint-Germain
Gonçalo RamosF 100%10 of 10 Pro 🔒
Bradley BarcolaF 90%9 of 10 Pro 🔒
Kang-in LeeM 90%9 of 10 Pro 🔒
Fabián RuizM 80%8 of 10 Pro 🔒
VitinhaM 70%7 of 10 Pro 🔒
Achraf HakimiD 60%6 of 10 Pro 🔒
Ibrahim MbayeF 60%6 of 10 Pro 🔒

FC Barcelona
Lamine YamalM 90%9 of 10 Pro 🔒
Ferran TorresF 80%8 of 10 Pro 🔒
Robert LewandowskiF 70%7 of 10 Pro 🔒
Marcus RashfordM 60%6 of 10 Pro 🔒
Dani OlmoM 60%6 of 10 Pro 🔒
Paris Saint-Germain
Gonçalo RamosF 70%7 of 10 Pro 🔒
VitinhaM 60%6 of 10 Pro 🔒

FC Barcelona
Lamine YamalM 90%9 of 10 Pro 🔒
Ferran TorresF 80%8 of 10 Pro 🔒
Paris Saint-Germain
No Paris Saint-Germain player in this window.

FC Barcelona
Lamine YamalM 90%9 of 10 Pro 🔒
Ferran TorresF 70%7 of 10 Pro 🔒
Marcus RashfordM 60%6 of 10 Pro 🔒
Dani OlmoM 60%6 of 10 Pro 🔒
Robert LewandowskiF 60%6 of 10 Pro 🔒
Paris Saint-Germain
Bradley BarcolaF 80%8 of 10 Pro 🔒
Gonçalo RamosF 80%8 of 10 Pro 🔒

FC Barcelona
Lamine YamalM 70%7 of 10 Pro 🔒
Paris Saint-Germain
No Paris Saint-Germain player in this window.

FC Barcelona
Pau CubarsíD 70%7 of 10 Pro 🔒
Eric GarcíaD 70%7 of 10 Pro 🔒
Andreas ChristensenD 70%7 of 10 Pro 🔒
Frenkie de JongM 60%6 of 10 Pro 🔒
Marc BernalM 60%3 of 5 Pro 🔒
Paris Saint-Germain
Warren Zaïre-EmeryM 100%10 of 10 Pro 🔒

FC Barcelona
Ferran TorresF 90%9 of 10 Pro 🔒
Frenkie de JongM 80%8 of 10 Pro 🔒
Lamine YamalM 80%8 of 10 Pro 🔒
Dani OlmoM 80%8 of 10 Pro 🔒
PedriM 70%7 of 10 Pro 🔒
Robert LewandowskiF 70%7 of 10 Pro 🔒
Jules KoundéD 60%6 of 10 Pro 🔒
Marc CasadóM 60%6 of 10 Pro 🔒
Paris Saint-Germain
Lucas HernándezD 70%7 of 10 Pro 🔒
Nuno MendesD 60%6 of 10 Pro 🔒
Achraf HakimiD 60%6 of 10 Pro 🔒

FC Barcelona
Lamine YamalM 50%5 of 10 Stats only
Ferran TorresF 40%4 of 10 Stats only
Robert LewandowskiF 40%4 of 10 Stats only
Paris Saint-Germain
Bradley BarcolaF 30%3 of 10 Stats only

FC Barcelona
Lamine YamalM 40%4 of 10 Stats only
Marcus RashfordM 30%3 of 10 Stats only
Dani OlmoM 30%3 of 10 Stats only
Paris Saint-Germain
Senny MayuluF 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+14% cards vs the league average
Michael Oliver refereed this match 4.52cards a game· league 3.96 25games
Michael Oliver'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.