Best Alternatives to Zan Zaletel
Players most similar to Zan Zaletel (Defender, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Zan Zaletel
- 1.Nermin Zolotić88% DNA match·Noah
- 2.Josip Calusic87% DNA match·Konyaspor
- 3.Emil Christensen87% DNA match·B 93
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Intelligence Verdict
“Žan Zaletel is a Ball-Playing CB....”
See Full Verdict + Share Card →Playing Style Analysis
Žan Zaletel is a Ball-Playing CB. Progressive defender comfortable on the ball. Statistically, he stands out as commanding in the air (5.0 clearances/90), meticulous in distribution (88% pass accuracy), wins the physical battle (62% duel success), heavily involved in possession (72 passes/90), central to possession (83 touches/90) and switches play with precision (6.7 long balls/90, 61% accuracy). (Limited sample: 375 mins) The three most similar players to Zan Zaletel by playing style are:
- Nermin Zolotić(88% match) — A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.1 tackles/90), wins the physical battle (71% duel success) and uses long balls frequently (7.2/90). Note: this profile is based on 627 minutes of playing time this season.
- Josip Calusic(87% match) — Josip Ćalušić is a Ball-Playing CB. Progressive defender comfortable on the ball. Statistically, he stands out as commanding in the air (4.5 clearances/90), reads the game exceptionally (1.6 interceptions/90) and meticulous in distribution (89% pass accuracy).
- Emil Christensen(87% match) — A Ball-Playing CB. Statistically, he stands out as a regular goalscorer (0.21 goals/90), commanding in the air (6.7 clearances/90), meticulous in distribution (87% pass accuracy), wins the physical battle (70% duel success), dominant in the air (3.9 aerials won/90, 82%) and uses long balls frequently (5.1/90). Note: this profile is based on 861 minutes of playing time this season.
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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