Best Alternatives to Can Uzun

Top 3 Alternatives to Can Uzun

1. 1.Mert Kömür87% DNA match·FC Augsburg€12.0M
2. 2.Ibrahim Maza86% DNA match·Bayer 04 Leverkusen€25.0M
3. 3.Ezechiel Banzuzi85% DNA match·RB Leipzig€18.0M

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

Playing Style Analysis

A Creator. Statistically, he stands out as an elite creator (1.8 key passes/90), a constant goal threat (3.2 shots/90), a proven goalscorer (0.61 goals/90), a prolific assist provider (0.53 assists/90), heavily involved in play (67 touches/90), active off the ball (2.0 press score/90), contributing to defensive transitions and top 20% creator in the league. However, he loses possession under pressure (2.0 dispossessed/90). The three most similar players to Can Uzun by playing style are:

• Mert Kömür(87% match) — A Creator. Statistically, he stands out as comfortable with both feet, an elite creator (1.6 key passes/90), a constant goal threat (2.6 shots/90) and a reliable supplier (0.24 assists/90). However, he loses possession under pressure (1.5 dispossessed/90).
• Ibrahim Maza(86% match) — A Creator. Statistically, he stands out as a capable chance creator (1.4 key passes/90), a constant goal threat (2.5 shots/90), a reliable supplier (0.22 assists/90), a dynamic dribbler (2.5/90), active in the tackle (2.0 tackles/90), heavily involved in play (69 touches/90) and active off the ball (2.2 press score/90), contributing to defensive transitions.
• Ezechiel Banzuzi(85% match) — A Ball-Winner. Statistically, he stands out as a capable chance creator (1.0 key passes/90), a reliable supplier (0.17 assists/90), an aggressive ball-winner (2.6 tackles/90), wins the physical battle (60% duel success), heavily involved in play (65 touches/90), strong in aerial duels (4.0 aerials won/90), a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up and top 10% tackler in the league. Note: this profile is based on 523 minutes of playing time this season.

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