Best Alternatives to Nikita Stoinov
Players most similar to Nikita Stoinov (Defender, €450K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Nikita Stoinov
- 1.Rick Meissen99% DNA match·Excelsior
- 2.Bjarne Pudel99% DNA match·Aalborg BK
- 3.Joel Felix99% DNA match·DSC Arminia Bielefeld
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Intelligence Verdict
“A Ball-Playing CB....”
See Full Verdict + Share Card →Playing Style Analysis
A Ball-Playing CB. Statistically, he stands out as commanding in the air (4.2 clearances/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (87% pass accuracy), wins the physical battle (67% duel success) and switches play with precision (7.8 long balls/90, 62% accuracy). The three most similar players to Nikita Stoinov by playing style are:
- Rick Meissen(99% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (4.0 clearances/90), reads the game exceptionally (1.9 interceptions/90), wins the physical battle (56% duel success), switches play with precision (6.9 long balls/90, 60% accuracy) and active off the ball (2.5 press score/90), contributing to defensive transitions.
- Bjarne Pudel(99% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (4.8 clearances/90), reads the game exceptionally (1.5 interceptions/90), meticulous in distribution (88% pass accuracy), wins the physical battle (56% duel success), heavily involved in possession (72 passes/90), central to possession (85 touches/90) and uses long balls frequently (9.4/90).
- Joel Felix(99% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.1 clearances/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (86% pass accuracy), central to possession (71 touches/90), strong in aerial duels (3.9 aerials won/90) and uses long balls frequently (7.3/90).
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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