Every dribbler creates a decision for the defender. The good ones force that decision often enough that the defender eventually gets it wrong.
That wrong decision shows up as a foul. Sometimes a yellow card. Sometimes a free kick in a dangerous area. The point is that high-volume dribblers are not just an attacking stat. They are a market input.
We call it the dribble tax. If a player is completing 2.0+ successful dribbles per 90, the defenders assigned to stop them are consistently being forced into contact decisions that feed three separate betting markets:
- player fouls won
- opposing player to be carded
- match total fouls
For this piece, we ranked every player in our active-league database with at least 900 minutes played in the 2025/26 season by successful dribbles per 90.
The Dribble Volume Leaders
| # | Player | Team | League | Apps | Drib / 90 | Success % | Fouls Won / 90 |
|---|---|---|---|---|---|---|---|
| 1 | J. Doku | Manchester City | Premier League | 51 | 5.47 | 60.9% | 2.38 |
| 2 | Kevin | Fulham | Premier League | 23 | 3.58 | 48.0% | 1.49 |
| 3 | A. Nusa | RB Leipzig | Bundesliga | 25 | 3.21 | 54.0% | 2.90 |
| 4 | Y. Minteh | Brighton | Premier League | 59 | 2.49 | 52.8% | 0.73 |
| 5 | Léo Scienza | 1. FC Heidenheim | Bundesliga | 20 | 2.41 | 55.1% | 3.23 |
| 6 | Sávio | Manchester City | Premier League | 46 | 2.30 | 50.0% | 1.45 |
| 7 | N. Okafor | Leeds | Premier League | 24 | 2.28 | 43.4% | 0.90 |
| 8 | Javi Galán | Atletico Madrid | La Liga | 17 | 2.25 | 60.0% | 2.10 |
| 9 | W. Odobert | Tottenham | Premier League | 24 | 2.18 | 57.1% | 0.91 |
| 10 | B. Saka | Arsenal | Premier League | 51 | 2.15 | 52.7% | 2.18 |
The first thing the table tells you is that Jérémy Doku is operating in a completely different band to the rest of the database.
At 5.47 successful dribbles per 90, he is not just leading the list. He is nearly doubling the second name. That kind of separation is rare in any per-90 metric, and it means the defenders facing Doku are being forced into more contact stress than anyone else in European football right now.
But Doku's success rate at 60.9% is what makes this profile genuinely dangerous for card markets. He is not just trying more. He is completing at a high rate, which means defenders are diving in, arriving late, and fouling.
Where The Real Value Lives
The most tradeable column in that table is not dribbles per 90. It is the relationship between dribbles and fouls won.
Antonio Nusa is the clearest example:
- 3.21 successful dribbles per 90
- 2.90 fouls won per 90
That is an absurdly efficient conversion rate. Almost every completed dribble is leading to a contact event. If you are looking at Bundesliga card markets and not filtering for who is facing Nusa, you are pricing blind.
Léo Scienza at Heidenheim pushes the concept even further:
- 2.41 dribbles per 90
- 3.23 fouls won per 90
He is actually drawing more fouls per 90 than he is completing dribbles. That means his ball-carrying style is forcing fouls even when the dribble itself does not fully succeed. That is the most dangerous profile for opposing defenders because the contact is practically unavoidable regardless of outcome.
The Fouls Won Hierarchy
| # | Player | Team | League | Apps | Fouls Won / 90 | Drib / 90 | Drib % |
|---|---|---|---|---|---|---|---|
| 1 | A. Fadera | Como | Serie A | 25 | 3.49 | 0.87 | — |
| 2 | Léo Scienza | 1. FC Heidenheim | Bundesliga | 20 | 3.23 | 2.41 | 55.1% |
| 3 | J. Grealish | Everton | Premier League | 40 | 3.16 | 1.37 | — |
| 4 | A. Nusa | RB Leipzig | Bundesliga | 25 | 2.90 | 3.21 | 54.0% |
| 5 | Bruno Guimarães | Newcastle | Premier League | 61 | 2.72 | 0.80 | — |
| 6 | A. Morris | Middlesbrough | Championship | 32 | 2.57 | 1.00 | — |
| 7 | M. Mane | Wolves | Premier League | 21 | 2.51 | 1.32 | — |
| 8 | C. Summerville | West Ham | Premier League | 24 | 2.41 | 1.59 | — |
| 9 | J. Doku | Manchester City | Premier League | 51 | 2.38 | 5.47 | 60.9% |
| 10 | B. Saka | Arsenal | Premier League | 51 | 2.18 | 2.15 | 52.7% |
This second table separates two different profiles.
Profile 1: The pure dribblers who generate fouls as a side effect. Doku and Nusa sit here. Their dribble volume is the engine, and the fouls are exhaust.
Profile 2: The body players who draw fouls through positioning and shielding. Fadera, Grealish, and Bruno Guimarães sit here. Their dribble numbers are modest, but they are still generating elite foul rates through movement, body contact, and ball protection.
Both profiles are useful. But they map to different markets.
The dribblers (Profile 1) are more likely to generate fouls from fullbacks and wide centre-backs. Those are typically the positions with moderate card risk, so you want to pair these names with opposing defender booking props.
The body players (Profile 2) tend to draw fouls from central midfielders. Those midfielders often already have high foul rates, which makes the card pricing even more attractive.
The Saka Case
Bukayo Saka sitting at 2.15 dribbles per 90 and 2.18 fouls won per 90 across 51 appearances is one of the most bankable profiles in the entire Premier League.
The numbers say he draws a foul for almost every successful dribble. That reliability matters because:
- The sample is enormous at 51 apps
- The output is consistent match to match
- He is playing in a system that funnels possession through his channel
When Arsenal are in a fixture where they are expected to dominate territory, Saka's fouls-won floor becomes one of the most reliable prop inputs in the league.
How To Use This
The dribble tax is not one market. It is a multiplier that touches three:
-
Player fouls won overs — Direct. If the line is set below the per-90 average, you have immediate value.
-
Opposing player card props — Indirect. If the defender assigned to a 2.0+ dribble profile already commits 1.5+ fouls per 90, the yellow card becomes a probability question, not a hope.
-
Match total fouls — Macro. If both teams feature dribble-heavy wide players, the foul floor rises before you even check the referee.
The strongest pre-match setup is when a high-dribble player faces a high-foul defender under a strict referee. That is when the dribble tax becomes unavoidable.
Conclusion
Doku, Nusa, Scienza, Saka, and Fadera are the players forcing the most contact stress in our database. But they do not all create value the same way.
Some force fouls through raw dribble volume. Others do it through body positioning. The market still prices those profiles too similarly, which means you can find edge in both — especially when you pair the player profile with the right opponent and the right official.
Track every dribbler and foul winner on our live fixture hub and match them against upcoming opponents before you touch the card and fouls markets.