Best Alternatives to Lucas Da Cunha 

Top 3 Alternatives to Lucas Da Cunha 

1. 1.Amir Richardson85% DNA match·FC København€9.0M
2. 2.Rodrigo Bentancur  85% DNA match·Tottenham Hotspur€22.0M
3. 3.Éderson85% DNA match·Atalanta€40.0M

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

Playing Style Analysis

A Metronome. Statistically, he stands out as naturally left-footed, a capable chance creator (1.5 key passes/90), active in the tackle (1.9 tackles/90), meticulous in distribution (90% pass accuracy), heavily involved in possession (65 passes/90), central to possession (79 touches/90) and active off the ball (2.8 press score/90), contributing to defensive transitions. The three most similar players to Lucas Da Cunha  by playing style are:

• Amir Richardson(85% match) — A Box-to-Box. Statistically, he stands out as an aggressive ball-winner (2.5 tackles/90), meticulous in distribution (88% pass accuracy), heavily involved in play (69 touches/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 10% tackler in the league. However, he prone to committing fouls (2.7/90).
• Rodrigo Bentancur  (85% match) — A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (2.5 tackles/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (86% pass accuracy), wins the physical battle (55% duel success), heavily involved in play (63 touches/90) and a high-intensity presser (press score 3.4/90), constantly disrupting opposition build-up.
• Éderson(85% match) — Éderson has quietly become one of Serie A's most complete midfield engines — a player who does the unglamorous work at an elite level while never demanding the spotlight. His 90.3% pass accuracy places him in the top 10% of league midfielders, but the more telling figure is his press intensity, also top 20% — meaning he wins the ball back as efficiently as he distributes it. That combination is rarer than it sounds.

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