Best Alternatives to Nahuel Estévez

Top 3 Alternatives to Nahuel Estévez

1. 1.Michel Aebischer84% DNA match·Pisa€4.0M
2. 2.Jari Vandeputte84% DNA match·Cremonese€3.3M
3. 3.Máximo Perrone84% DNA match·Como€25.0M

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

Playing Style Analysis

A Box-to-Box. Statistically, he stands out as wins the physical battle (58% duel success), penetrates with forward passing (9.2 final-third passes/90), heavily involved in play (63 touches/90), uses long balls frequently (6.5/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. Note: this profile is based on 667 minutes of playing time this season. The three most similar players to Nahuel Estévez by playing style are:

• Michel Aebischer(84% 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.
• Jari Vandeputte(84% match) — A Creator. Statistically, he stands out as an elite creator (3.0 key passes/90), a prolific assist provider (0.29 assists/90), creates high-quality scoring opportunities (0.68 big chances/90), penetrates with forward passing (9.7 final-third passes/90), heavily involved in play (70 touches/90), uses long balls frequently (6.1/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% creator in the league.
• Máximo Perrone(84% match) — A Metronome. Statistically, he stands out as naturally left-footed, a reliable supplier (0.16 assists/90), meticulous in distribution (92% pass accuracy), heavily involved in possession (74 passes/90), central to possession (84 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 →