The best 1v1 wingers in the world: the live top 10
Some wingers pass their way through a game. The ones on this page do something different: they get the ball, square up the nearest defender and go straight at him. This is the live ranking of the best of them, worldwide, and it updates itself as new matches land in the data.
Why this type of player matters
Most of modern football is organised. Teams defend in compact blocks, press in rehearsed patterns and close passing lanes before they open. Against that, a winger who reliably beats his man is one of the few ways to make something out of nothing.
A won take-on breaks the structure. The beaten defender is out of the game, a teammate has to leave his position to cover, and for a few seconds the defence is a man short and scrambling. Everything a coach wants against a deep block flows from that moment: an overload in the box, a free man at the cutback, a centre back dragged out of the middle.
The threat works even when the dribble doesn't happen. Defenders facing an elite 1v1 winger back off to protect against the run, which gifts him space to cross or shoot; full backs stop overlapping because they can't be caught upfield against him. One player changes how the entire opposition flank behaves. And when defenders can't cope legally, they foul: free kicks in dangerous areas, bookings that blunt a defender for the remaining hour, and penalties.
That's why this profile is scouted so hard, and priced so high. It's also why it's worth measuring properly rather than trusting the highlight reel.
Why we use these stats
Each column in the table maps to something you'd see on the pitch:
- Successful take-ons per 90 is the ranking stat: how often the player actually beats his man over a full match. This is the structure-breaking event itself, counted.
- Attempts per 90 is appetite. It tells you whether beating defenders is the player's game or an occasional trick. Attempt volume is also the most portable dribbling stat: it reflects a decision the player makes, so it travels with him between clubs and leagues more reliably than any outcome stat.
- Success rate is efficiency, and it separates two very different players who might rank side by side: the one who picks his moments and wins most of them, and the one who goes constantly and accepts the losses. Neither is wrong, but they suit different teams.
- Fouls drawn per 90 is the consequence stat, and the most underrated column here. It counts the duels the defender couldn't afford to lose cleanly. A winger drawing 2.5+ fouls a game is winning free kicks in the final third, collecting bookings against his marker and shifting how aggressively he can be defended for the rest of the match.
Read together, the four columns give you the player's whole 1v1 identity: how often he goes, how often it works, and what it costs the opposition either way.
How the ranking works
The pool is every player FDscout classes as a winger across 20 top-flight leagues, from the Premier League and La Liga to the Brasileirão, MLS and the J1 League. The window is always the last 12 months of league football, so the table tracks current form rather than reputation.
To qualify, a player needs at least 900 league minutes and 80 take-on attempts in the window. The floors matter: success rates over a handful of attempts are noise, and a hot month shouldn't put anyone above players doing it week after week. Qualified players are then ranked by successful take-ons per 90. A player new to the top ten carries a green New tag for his first week.
The live top 10
| Player | Club | Won /90 | Att /90 | Success % | Fouls drawn /90 | |
|---|---|---|---|---|---|---|
| 1 | Henry Mosquera | Bragantino · 24 | 5.35 | 7.8 | 68.5 | 1.01 |
| 2 | Lamine Yamal | FC Barcelona · 19 | 4.91 | 8.95 | 54.8 | 2.06 |
| 3 | Jérémy Doku | Manchester City · 24 | 4.38 | 7.7 | 56.9 | 3.21 |
| 4 | Yan Diomande | Real Madrid · 19 | 4.34 | 7.25 | 59.8 | 1.24 |
| 5 | Allan Saint-Maximin | Charlotte · 29 | 3.93 | 6.78 | 58 | 1.9 |
| 6 | Kevin | Fulham · 23 | 3.85 | 7.79 | 49.5 | 1.45 |
| 7 | Rafik Guitane | Estoril · 27 | 3.77 | 8.43 | 44.8 | 2.05 |
| 8 | Valentín Depietri | Talleres Córdoba · 25 | 3.63 | 6.6 | 54.9 | 1.31 |
| 9 | Prince Amoako Junior | Nordsjælland · 19 | 3.24 | 7.63 | 42.5 | 0.82 |
| 10 | Nico Williams | Athletic Club · 24 | 3.2 | 7.38 | 43.3 | 1.28 |
How to read it
Don't treat the order as the whole story. A player winning 4 take-ons per 90 at 68% is a different profile from one winning 4 at 48% on far more attempts: the first picks his moments, the second carries his team's risk single-handedly. Check the fouls-drawn column before judging anyone's success rate, because a player who gets fouled constantly is winning duels that never get counted as completed take-ons. The trade-offs, and the traps in dribbling data generally, are covered properly in how to scout a dribbler.
Who should want these players
The profile fits some teams far better than others. Sides that dominate possession and face packed defences week after week get the most from an elite 1v1 winger, because he's the answer to the exact problem they face every match: eleven men behind the ball and no space to pass through. Transition teams benefit differently: a winger who can carry the ball past the first challenger turns a clearance into a counter-attack on his own.
The names on this list also tend to be undervalued in one specific way: the volume dribblers with modest success rates. Their raw numbers look inefficient, but volume travels and efficiency often improves with better teammates and better spacing. Several of the most expensive wingers in the world posted exactly that profile two seasons before their big move.
Click any name for the full FDscout dossier: percentile radar against every winger in the pool, role scores, traits and season-by-season breakdowns. Every term on this page is defined in plain English in the stats glossary.