Best Alternatives to Álvaro Carreras 

Top 3 Alternatives to Álvaro Carreras 

1. 1.Sergio Carreira91% DNA match·Celta de Vigo€6.0M
2. 2.José Ángel Carmona87% DNA match·Sevilla€12.0M
3. 3.Eric García87% DNA match·FC Barcelona€35.0M

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, a capable chance creator (1.0 key passes/90), active in the tackle (1.8 tackles/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (91% pass accuracy), wins the physical battle (58% duel success), heavily involved in possession (66 passes/90), penetrates with forward passing (9.2 final-third passes/90), central to possession (90 touches/90) and a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up. The three most similar players to Álvaro Carreras  by playing style are:

• Sergio Carreira(91% match) — A Active Full-Back. Statistically, he stands out as meticulous in distribution (86% pass accuracy), wins the physical battle (56% duel success) and central to possession (72 touches/90).
• José Ángel Carmona(87% match) — A Active Full-Back. Statistically, he stands out as active in the tackle (2.3 tackles/90), reads the game exceptionally (1.5 interceptions/90) and a high-intensity presser (press score 3.0/90), constantly disrupting opposition build-up.
• Eric García(87% match) — A Ball-Playing CB. Statistically, he stands out as a capable chance creator (1.0 key passes/90), an aggressive ball-winner (2.7 tackles/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (91% pass accuracy), wins the physical battle (58% duel success), heavily involved in possession (71 passes/90), penetrates with forward passing (9.6 final-third passes/90), central to possession (88 touches/90) and active off the ball (2.5 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 →