Best Alternatives to Amos Pieper

Top 3 Alternatives to Amos Pieper

1. 1.Lukas Ullrich87% DNA match·Borussia Mönchengladbach€7.0M
2. 2.Jordan Torunarigha87% DNA match·Hamburger SV€4.0M
3. 3.Niklas Stark87% DNA match·Werder Bremen€3.5M

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 (2.2 tackles/90), commanding in the air (6.1 clearances/90), reads the game exceptionally (1.8 interceptions/90), wins the physical battle (69% duel success), heavily involved in possession (62 passes/90), penetrates with forward passing (10.2 final-third passes/90), central to possession (78 touches/90), uses long balls frequently (11.2/90) and active off the ball (2.4 press score/90), contributing to defensive transitions. Note: this profile is based on 601 minutes of playing time this season. The three most similar players to Amos Pieper by playing style are:

• Lukas Ullrich(87% match) — A Active Full-Back. Statistically, he stands out as naturally left-footed, a capable chance creator (1.3 key passes/90), active in the tackle (2.0 tackles/90), reads the game exceptionally (1.8 interceptions/90) and active off the ball (2.4 press score/90), contributing to defensive transitions.
• Jordan Torunarigha(87% match) — A Ball-Playing CB. Statistically, he stands out as naturally left-footed, active in the tackle (1.9 tackles/90), commanding in the air (8.5 clearances/90), wins the physical battle (64% duel success), uses long balls frequently (5.4/90) and active off the ball (2.0 press score/90), contributing to defensive transitions.
• Niklas Stark(87% match) — A Ball-Playing CB. Statistically, he stands out as active in the tackle (1.9 tackles/90), commanding in the air (8.0 clearances/90), reads the game exceptionally (1.9 interceptions/90), meticulous in distribution (88% pass accuracy), wins the physical battle (62% duel success), central to possession (72 touches/90) and uses long balls frequently (6.1/90). Note: this profile is based on 573 minutes of playing time this season.

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