Best Alternatives to Nathan Collins
Players most similar to Nathan Collins (Defender, €35.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Nathan Collins
- 1.Nnamdi Collins92% DNA match·Eintracht Frankfurt€15.0M
- 2.Maximilian Kilman87% DNA match·West Ham United€22.0M
- 3.Dan Ballard86% DNA match·Sunderland€20.0M
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 (6.2 clearances/90), wins the physical battle (56% duel success), uses long balls frequently (7.5/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. The three most similar players to Nathan Collins by playing style are:
- Nnamdi Collins(92% match) — A Ball-Playing CB. Statistically, he stands out as an aggressive ball-winner (2.9 tackles/90), meticulous in distribution (87% pass accuracy), wins the physical battle (60% duel success), heavily involved in possession (65 passes/90), penetrates with forward passing (8.9 final-third passes/90), wins the ball cleanly (2.2 successful tackles/90), central to possession (86 touches/90), switches play with precision (5.4 long balls/90, 67% accuracy), active off the ball (2.3 press score/90), contributing to defensive transitions and top 10% tackler in the league.
- Maximilian Kilman(87% match) — A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (6.4 clearances/90) and meticulous in distribution (88% pass accuracy).
- Dan Ballard(86% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (7.8 clearances/90), wins the physical battle (59% duel success), strong in aerial duels (4.4 aerials won/90) and uses long balls frequently (6.6/90).
Transfer Intelligence
Nnamdi Collins delivers 92% of the same playing style, at 57% lower cost (€15.0M vs €35.0M), with 1.42 tackles won per 90 at age 22.
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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