Best Alternatives to Lautaro Blanco

Top 3 Alternatives to Lautaro Blanco

1. 1.Dávid Hancko84% DNA match·Atlético Madrid€35.0M
2. 2.Adrià Pedrosa84% DNA match·Elche€4.0M
3. 3.Javi Galán84% DNA match·Osasuna€3.5M

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

Playing Style Analysis

A Active Full-Back. Statistically, he stands out as naturally left-footed, an elite creator (1.7 key passes/90), an aggressive ball-winner (2.9 tackles/90), wins the ball cleanly (2.5 successful tackles/90), uses long balls frequently (5.6/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 10% tackler in the league. The three most similar players to Lautaro Blanco by playing style are:

• Dávid Hancko(84% match) — A Ball-Playing CB. Statistically, he stands out as naturally left-footed, active in the tackle (2.0 tackles/90), meticulous in distribution (87% pass accuracy), wins the physical battle (58% duel success), penetrates with forward passing (8.4 final-third passes/90) and uses long balls frequently (5.0/90).
• Adrià Pedrosa(84% match) — A Active Full-Back. Statistically, he stands out as naturally left-footed, an elite creator (1.9 key passes/90), an aggressive ball-winner (2.9 tackles/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 874 minutes of playing time this season.
• Javi Galán(84% match) — A Active Full-Back. Statistically, he stands out as naturally left-footed, a capable chance creator (1.1 key passes/90), a dynamic dribbler (2.3/90), active in the tackle (2.4 tackles/90), meticulous in distribution (86% pass accuracy), wins the physical battle (63% duel success), central to possession (79 touches/90), draws fouls effectively (2.3/90) and active off the ball (2.4 press score/90), contributing to defensive transitions. Note: this profile is based on 872 minutes of playing time this season.

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