Best Alternatives to David Affengruber

Top 3 Alternatives to David Affengruber

1. 1.Jon Aramburu88% DNA match·Real Sociedad€15.0M
2. 2.Carlos Puga87% DNA match·Málaga€20.0M
3. 3.Arnau Martínez86% DNA match·Girona€10.0M

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

Playing Style Analysis

A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.1 tackles/90), commanding in the air (5.4 clearances/90), meticulous in distribution (87% pass accuracy), wins the physical battle (64% duel success), heavily involved in possession (62 passes/90), central to possession (78 touches/90), uses long balls frequently (5.5/90) and active off the ball (2.6 press score/90), contributing to defensive transitions. The three most similar players to David Affengruber by playing style are:

• Jon Aramburu(88% match) — A Active Full-Back. Statistically, he stands out as an aggressive ball-winner (3.6 tackles/90), reads the game exceptionally (1.6 interceptions/90), wins the physical battle (57% duel success), wins the ball cleanly (2.1 successful tackles/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 10% tackler in the league.
• Carlos Puga(87% match) — A Active Full-Back. Statistically, he stands out as naturally left-footed, a capable chance creator (1.2 key passes/90), an aggressive ball-winner (3.4 tackles/90), wins the ball cleanly (2.4 successful tackles/90), active off the ball (2.9 press score/90), contributing to defensive transitions and top 10% tackler in the league.
• Arnau Martínez(86% match) — A Active Full-Back. Statistically, he stands out as an aggressive ball-winner (2.5 tackles/90), commanding in the air (4.6 clearances/90), reads the game exceptionally (1.5 interceptions/90), wins the physical battle (56% duel success), central to possession (71 touches/90), uses long balls frequently (6.3/90) and active off the ball (2.4 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 →