Best Alternatives to Nicolás Acevedo

Top 3 Alternatives to Nicolás Acevedo

1. 1.Michel Aebischer87% DNA match·Pisa€4.0M
2. 2.Antoine Bernede86% DNA match·Hellas Verona€3.5M
3. 3.Marc Aguado85% DNA match·Elche€3.0M

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

Playing Style Analysis

A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (2.9 tackles/90), reads the game exceptionally (2.0 interceptions/90), heavily involved in possession (65 passes/90), penetrates with forward passing (10.7 final-third passes/90), wins the ball cleanly (2.1 successful tackles/90), central to possession (86 touches/90), uses long balls frequently (5.6/90), a high-intensity presser (press score 3.7/90), constantly disrupting opposition build-up and top 10% tackler in the league. The three most similar players to Nicolás Acevedo by playing style are:

• Michel Aebischer(87% match) — A Balanced Midfielder. Statistically, he stands out as a capable chance creator (1.1 key passes/90), active in the tackle (1.8 tackles/90), penetrates with forward passing (8.8 final-third passes/90), heavily involved in play (62 touches/90), uses long balls frequently (7.7/90) and active off the ball (2.9 press score/90), contributing to defensive transitions.
• Antoine Bernede(86% match) — A Creator. Statistically, he stands out as a capable chance creator (1.3 key passes/90), an aggressive ball-winner (2.8 tackles/90), heavily involved in play (51 touches/90), a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up and top 10% tackler in the league.
• Marc Aguado(85% 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 →