Best Alternatives to Fran Beltrán

Top 3 Alternatives to Fran Beltrán

1. 1.Hugo Sotelo87% DNA match·Celta de Vigo€9.0M
2. 2.Antonio Blanco86% DNA match·Deportivo Alavés€10.0M
3. 3.Aleix Febas85% DNA match·Elche€5.0M

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 an aggressive ball-winner (2.8 tackles/90), meticulous in distribution (92% pass accuracy), heavily involved in possession (64 passes/90), central to possession (78 touches/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. However, he loses possession under pressure (1.5 dispossessed/90). The three most similar players to Fran Beltrán by playing style are:

• Hugo Sotelo(87% match) — A Metronome. Statistically, he stands out as an elite creator (2.1 key passes/90), a prolific assist provider (0.25 assists/90), active in the tackle (2.3 tackles/90), meticulous in distribution (92% pass accuracy), heavily involved in possession (69 passes/90), penetrates with forward passing (9.6 final-third passes/90), central to possession (81 touches/90), active off the ball (2.8 press score/90), contributing to defensive transitions and top 10% creator in the league.
• Antonio Blanco(86% match) — A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (2.9 tackles/90), meticulous in distribution (86% pass accuracy), central to possession (72 touches/90) and a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up.
• Aleix Febas(85% match) — A Metronome. Statistically, he stands out as active in the tackle (2.1 tackles/90), meticulous in distribution (90% pass accuracy), wins the physical battle (61% duel success), central to possession (73 touches/90), draws fouls effectively (3.1/90) and active off the ball (2.4 press score/90), contributing to defensive transitions. However, he loses possession under pressure (1.6 dispossessed/90).

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