Best Alternatives to Vinicius de Souza Costa

Top 3 Alternatives to Vinicius de Souza Costa

1. 1.Yan Couto86% DNA match·Borussia Dortmund€20.0M
2. 2.Chema Andrés87% DNA match·VfB Stuttgart€15.0M
3. 3.Atakan Karazor86% DNA match·VfB Stuttgart€9.0M

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 (2.7 tackles/90), reads the game exceptionally (2.0 interceptions/90), wins the physical battle (61% duel success), dominant in the air (3.3 aerials won/90, 73%) and a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up. However, he prone to committing fouls (2.5/90). The three most similar players to Vinicius de Souza Costa by playing style are:

• Yan Couto(86% match) — A Box-to-Box. Statistically, he stands out as an elite creator (1.6 key passes/90), a prolific assist provider (0.32 assists/90), active in the tackle (1.9 tackles/90), creates high-quality scoring opportunities (0.53 big chances/90), central to possession (73 touches/90) and active off the ball (2.3 press score/90), contributing to defensive transitions. Note: this profile is based on 844 minutes of playing time this season.
• Chema Andrés(87% match) — A Box-to-Box. Statistically, he stands out as a capable chance creator (1.2 key passes/90), active in the tackle (2.2 tackles/90), reads the game exceptionally (2.0 interceptions/90), meticulous in distribution (85% pass accuracy), wins the physical battle (60% duel success), heavily involved in play (68 touches/90), strong in aerial duels (3.8 aerials won/90) and a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up.
• Atakan Karazor(86% match) — A Box-to-Box. Statistically, he stands out as active in the tackle (2.1 tackles/90), meticulous in distribution (85% pass accuracy), wins the physical battle (65% duel success) and heavily involved in play (65 touches/90).

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