Best Alternatives to Jonathan Tah

Top 3 Alternatives to Jonathan Tah

1. 1.Edmond Tapsoba89% DNA match·Bayer 04 Leverkusen€35.0M
2. 2.Robin Koch88% DNA match·Eintracht Frankfurt€15.0M
3. 3.Nico Elvedi87% DNA match·Borussia Mönchengladbach€4.0M

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 commanding in the air (5.4 clearances/90), meticulous in distribution (96% pass accuracy), wins the physical battle (60% duel success), heavily involved in possession (86 passes/90), penetrates with forward passing (8.1 final-third passes/90), central to possession (98 touches/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. The three most similar players to Jonathan Tah by playing style are:

• Edmond Tapsoba(89% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (4.9 clearances/90), meticulous in distribution (91% pass accuracy), wins the physical battle (57% duel success), heavily involved in possession (84 passes/90), penetrates with forward passing (8.8 final-third passes/90), central to possession (98 touches/90), uses long balls frequently (7.3/90) and active off the ball (2.5 press score/90), contributing to defensive transitions.
• Robin Koch(88% match) — A Ball-Playing CB. Statistically, he stands out as a regular goalscorer (0.30 goals/90), commanding in the air (8.0 clearances/90), reads the game exceptionally (1.5 interceptions/90), meticulous in distribution (87% pass accuracy), wins the physical battle (63% duel success), dominant in the air (3.5 aerials won/90, 64%) and uses long balls frequently (7.1/90).
• Nico Elvedi(87% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (8.9 clearances/90), meticulous in distribution (93% pass accuracy) and wins the physical battle (69% duel success).

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