Best Alternatives to Mateus Vital

Top 3 Alternatives to Mateus Vital

1. 1.Aarón Ochoa97% DNA match·Málaga
2. 2.Jon Ander Olasagasti97% DNA match·Levante
3. 3.Álex Cardero96% DNA match·Real Oviedo

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 a capable chance creator (1.4 key passes/90), a reliable supplier (0.18 assists/90), meticulous in distribution (91% pass accuracy), heavily involved in possession (72 passes/90), penetrates with forward passing (13.8 final-third passes/90), central to possession (95 touches/90), draws fouls effectively (2.9/90), switches play with precision (6.6 long balls/90, 77% accuracy) and a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up. However, he loses possession under pressure (1.7 dispossessed/90). The three most similar players to Mateus Vital by playing style are:

• Aarón Ochoa(97% match) — A Creator. Statistically, he stands out as an elite creator (3.4 key passes/90), a prolific assist provider (0.55 assists/90), heavily involved in play (62 touches/90), active off the ball (2.3 press score/90), contributing to defensive transitions and top 10% creator in the league. However, he loses possession under pressure (1.6 dispossessed/90).
• Jon Ander Olasagasti(97% match) — A Box-to-Box. Statistically, he stands out as an elite creator (2.1 key passes/90), a prolific assist provider (0.25 assists/90), heavily involved in play (59 touches/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 10% creator in the league.
• Álex Cardero(96% match) — A Creator. Statistically, he stands out as an elite creator (1.6 key passes/90), a reliable supplier (0.15 assists/90), active off the ball (2.7 press score/90), contributing to defensive transitions and top 20% creator in the league. Note: this profile is based on 613 minutes of playing time this season.

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