Best Alternatives to Gerrit Nauber
Players most similar to Gerrit Nauber (Defender, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Gerrit Nauber
- 1.Daan Steur86% DNA match·IJsselmeervogels
- 2.Mats Köhlert85% DNA match·Brøndby IF
- 3.Lautaro Giannetti85% DNA match·Antalyaspor
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Intelligence Verdict
“Gerrit Nauber is a Ball-Playing CB....”
See Full Verdict + Share Card →Playing Style Analysis
Gerrit Nauber is a Ball-Playing CB. Progressive defender comfortable on the ball. Statistically, he stands out as a regular goalscorer (0.23 goals/90), commanding in the air (5.7 clearances/90), meticulous in distribution (88% pass accuracy), wins the physical battle (58% duel success), dominant in the air (3.4 aerials won/90, 64%) and uses long balls frequently (6.3/90). The three most similar players to Gerrit Nauber by playing style are:
- Daan Steur(86% match) — Daan Steur is a Ball-Playing CB. Progressive defender comfortable on the ball. Statistically, he stands out as commanding in the air (4.7 clearances/90), reads the game exceptionally (1.6 interceptions/90), wins the physical battle (65% duel success) and uses long balls frequently (9.2/90). (Limited sample: 343 mins)
- Mats Köhlert(85% match) — A Ball-Playing CB. Statistically, he stands out as an elite creator (1.8 key passes/90), active in the tackle (2.3 tackles/90), meticulous in distribution (90% pass accuracy), wins the physical battle (59% duel success), central to possession (78 touches/90) and active off the ball (2.6 press score/90), contributing to defensive transitions.
- Lautaro Giannetti(85% match) — Lautaro Gianetti is a Ball-Playing CB. Progressive defender comfortable on the ball. Statistically, he stands out as commanding in the air (7.8 clearances/90), meticulous in distribution (86% pass accuracy), wins the physical battle (57% duel success) and uses long balls frequently (5.2/90).
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
Similar Players — Ranked by DNA Similarity
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