Best Alternatives to Enric Llansana

Top 3 Alternatives to Enric Llansana

1. 1.Mikel Jauregizar83% DNA match·Athletic Club€30.0M
2. 2.Kodai Sano83% DNA match·Japan€6.0M
3. 3.Marc Aguado83% DNA match·Elche€3.0M

Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.

Playing Style Analysis

Llansana is a defensive wrecking ball disguised in the skin of a La Masia graduate, blending elite-level aerial dominance with the relentless engine of a high-frequency presser. While his 84% pass accuracy suggests a safe, recycling role, the reality is far more aggressive; he ranks in the top 5% of the Pro League for tackles won, operating as a high-intensity disruptor who hunts possession rather than waiting for it. The counterintuitive gem in his data is his verticality—despite a bottom-decile dribble rate that suggests a lack of mobility, he ranks above average for passes into the final third, moving the ball with his vision rather than his feet. The three most similar players to Enric Llansana by playing style are:

• Mikel Jauregizar(83% match) — A Box-to-Box. Statistically, he stands out as a capable chance creator (1.1 key passes/90), active in the tackle (2.2 tackles/90), heavily involved in play (58 touches/90) and a high-intensity presser (press score 3.0/90), constantly disrupting opposition build-up.
• Kodai Sano(83% match) — A Box-to-Box. Statistically, he stands out as a capable chance creator (1.5 key passes/90), a reliable supplier (0.24 assists/90), active in the tackle (2.2 tackles/90), central to possession (70 touches/90) and a high-intensity presser (press score 3.4/90), constantly disrupting opposition build-up.
• Marc Aguado(83% match) — A Ball-Winner. Statistically, he stands out as active in the tackle (1.9 tackles/90), reads the game exceptionally (1.8 interceptions/90), meticulous in distribution (91% pass accuracy), wins the physical battle (63% duel success), heavily involved in play (57 touches/90) and active off the ball (2.2 press score/90), contributing to defensive transitions.

Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →