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SharpXI©
Player stats 26/27

FC Barcelona v Feyenoord

Your slip follows you between games.

How often each FC Barcelona and Feyenoord 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 Feyenoord: Raphinha (FC Barcelona) leads the home side for 1+ shots on target — 9 of 10 (90%); Gjivai Zechiël (Feyenoord) 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
Fermín LópezM 100%10 of 10 Pro 🔒
Anthony GordonF 100%10 of 10 Pro 🔒
Lamine YamalF 90%9 of 10 Pro 🔒
Dani OlmoM 90%9 of 10 Pro 🔒
RaphinhaF 90%9 of 10 Pro 🔒
Gabriel JesusF 80%8 of 10 Pro 🔒
Karim AdeyemiF 70%7 of 10 Pro 🔒
Feyenoord
Anis Hadj MoussaM 100%10 of 10 Pro 🔒
Gjivai ZechiëlM 100%10 of 10 Pro 🔒
Luciano ValenteM 90%9 of 10 Pro 🔒
Givairo ReadD 70%7 of 10 Pro 🔒
Tsuyoshi WatanabeD 70%7 of 10 Pro 🔒
Gonçalo BorgesF 70%7 of 10 Pro 🔒
Sem SteijnM 60%6 of 10 Pro 🔒

FC Barcelona
Fermín LópezM 80%8 of 10 Pro 🔒
Lamine YamalF 80%8 of 10 Pro 🔒
RaphinhaF 80%8 of 10 Pro 🔒
Anthony GordonF 80%8 of 10 Pro 🔒
Feyenoord
Anis Hadj MoussaM 90%9 of 10 Pro 🔒
Gjivai ZechiëlM 80%8 of 10 Pro 🔒

FC Barcelona
RaphinhaF 70%7 of 10 Pro 🔒
Fermín LópezM 60%6 of 10 Pro 🔒
Lamine YamalF 60%6 of 10 Pro 🔒
Feyenoord
Anis Hadj MoussaM 60%6 of 10 Pro 🔒
Gjivai ZechiëlM 60%6 of 10 Pro 🔒

FC Barcelona
RaphinhaF 90%9 of 10 Pro 🔒
Fermín LópezM 80%8 of 10 Pro 🔒
Anthony GordonF 80%8 of 10 Pro 🔒
Lamine YamalF 60%6 of 10 Pro 🔒
Gabriel JesusF 60%6 of 10 Pro 🔒
Feyenoord
Gjivai ZechiëlM 80%8 of 10 Pro 🔒
Anis Hadj MoussaM 70%7 of 10 Pro 🔒
Luciano ValenteM 60%6 of 10 Pro 🔒

FC Barcelona
Fermín LópezM 90%9 of 10 Pro 🔒
GaviM 70%7 of 10 Pro 🔒
Lamine YamalF 70%7 of 10 Pro 🔒
Pau CubarsíD 60%6 of 10 Pro 🔒
Marc BernalM 60%6 of 10 Pro 🔒
Feyenoord
Anis Hadj MoussaM 70%7 of 10 Pro 🔒
Charles VanhoutteM 60%6 of 10 Pro 🔒
Javi LópezM 60%6 of 10 Pro 🔒

FC Barcelona
GaviM 80%8 of 10 Pro 🔒
Anthony GordonF 80%8 of 10 Pro 🔒
Fermín LópezM 70%7 of 10 Pro 🔒
Lamine YamalF 70%7 of 10 Pro 🔒
PedriM 70%7 of 10 Pro 🔒
RodriM 60%6 of 10 Pro 🔒
Feyenoord
Gjivai ZechiëlM 90%9 of 10 Pro 🔒
Luciano ValenteM 80%8 of 10 Pro 🔒
Givairo ReadD 70%7 of 10 Pro 🔒
Anis Hadj MoussaM 60%6 of 10 Pro 🔒

FC Barcelona
Pau CubarsíD 90%9 of 10 Pro 🔒
RodriM 90%9 of 10 Pro 🔒
Fermín LópezM 80%8 of 10 Pro 🔒
GaviM 70%7 of 10 Pro 🔒
Marc BernalM 70%7 of 10 Pro 🔒
PedriM 70%7 of 10 Pro 🔒
João CanceloD 60%6 of 10 Pro 🔒
Jules KoundéD 60%6 of 10 Pro 🔒
Feyenoord
Mika MármolD 90%9 of 10 Pro 🔒
Luciano ValenteM 70%7 of 10 Pro 🔒
Givairo ReadD 70%7 of 10 Pro 🔒
Gjivai ZechiëlM 70%7 of 10 Pro 🔒
Charles VanhoutteM 70%7 of 10 Pro 🔒
Javi LópezM 70%7 of 10 Pro 🔒
Oussama TarghallineM 60%6 of 10 Pro 🔒
Anis Hadj MoussaM 60%6 of 10 Pro 🔒
Tsuyoshi WatanabeD 60%6 of 10 Pro 🔒
Gonçalo BorgesF 60%6 of 10 Pro 🔒

FC Barcelona
Pau CubarsíD 60%6 of 10 Pro 🔒
RodriM 60%6 of 10 Pro 🔒
Feyenoord
Oussama TarghallineM 60%6 of 10 Pro 🔒
Mika MármolD 60%6 of 10 Pro 🔒

FC Barcelona
RaphinhaF 60%6 of 10 Stats only
Lamine YamalF 50%5 of 10 Stats only
Fermín LópezM 40%4 of 10 Stats only
Anthony GordonF 30%3 of 10 Stats only
Karim AdeyemiF 30%3 of 10 Stats only
Feyenoord
Gjivai ZechiëlM 40%4 of 10 Stats only
Luciano ValenteM 30%3 of 10 Stats only
Anis Hadj MoussaM 30%3 of 10 Stats only

FC Barcelona
Anthony GordonF 30%3 of 10 Stats only
PedriM 30%3 of 10 Stats only
Feyenoord
Gjivai ZechiëlM 40%4 of 10 Stats only
Oussama TarghallineM 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
Sven Jablonski refereed this match

6 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.