Best Alternatives to Leonardo Fernández

Top 3 Alternatives to Leonardo Fernández

1. 1.Soner Aydoğdu85% DNA match·Bursaspor
2. 2.Benjamin Zjajo85% DNA match·Middelfart
3. 3.Adil Aouchiche85% DNA match·Schalke 04

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

Playing Style Analysis

Leonardo Cecilio Fernández López is a Creator. Playmaker unlocking defenses with key passes. Statistically, he stands out as an elite creator (3.8 key passes/90), a constant goal threat (3.2 shots/90), a regular goalscorer (0.37 goals/90), a prolific assist provider (0.44 assists/90), creates high-quality scoring opportunities (0.85 big chances/90), delivers dangerous crosses (2.7 accurate crosses/90) and top 10% creator in the league. The three most similar players to Leonardo Fernández by playing style are:

• Soner Aydoğdu(85% match) — A Creator. Statistically, he stands out as an elite creator (1.7 key passes/90), a constant goal threat (3.1 shots/90), a proven goalscorer (1.11 goals/90), active in the tackle (2.1 tackles/90), creates high-quality scoring opportunities (0.56 big chances/90), heavily involved in play (56 touches/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 20% creator in the league. Note: this profile is based on 648 minutes of playing time this season.
• Benjamin Zjajo(85% match) — A Creator. Statistically, he stands out as an elite creator (1.9 key passes/90), a reliable supplier (0.17 assists/90) and top 10% creator in the league.
• Adil Aouchiche(85% match) — A Creator. Statistically, he stands out as an elite creator (3.8 key passes/90), a constant goal threat (3.3 shots/90), a reliable supplier (0.17 assists/90), creates high-quality scoring opportunities (0.86 big chances/90), delivers dangerous crosses (3.2 accurate crosses/90), heavily involved in play (64 touches/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 10% creator in the league.

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