Best Alternatives to Amario Cozier-Duberry
Players most similar to Amario Cozier-Duberry (Attacker, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Amario Cozier-Duberry
- 1.O. Hyseni99% DNA match·Sønderjyske Fodbold
- 2.Prince Amoako Junior99% DNA match·Nordsjælland
- 3.Yosuke Furukawa98% DNA match·Darmstadt 98
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Intelligence Verdict
“A Dynamic Forward....”
See Full Verdict + Share Card →Playing Style Analysis
A Dynamic Forward. Statistically, he stands out as an elite creator (1.7 key passes/90), a constant goal threat (3.3 shots/90), a regular goalscorer (0.30 goals/90), a prolific assist provider (0.36 assists/90) and a dynamic dribbler (2.2/90). However, he loses possession under pressure (1.6 dispossessed/90). The three most similar players to Amario Cozier-Duberry by playing style are:
- O. Hyseni(99% match) — A Dynamic Forward. Statistically, he stands out as an elite creator (1.6 key passes/90), a constant goal threat (2.8 shots/90), a regular goalscorer (0.29 goals/90), a prolific assist provider (0.29 assists/90), a dynamic dribbler (2.1/90) and draws fouls effectively (2.4/90). However, he loses possession under pressure (2.0 dispossessed/90).
- Prince Amoako Junior(99% match) — A Dynamic Forward. Statistically, he stands out as a capable chance creator (1.4 key passes/90), a constant goal threat (3.1 shots/90), a regular goalscorer (0.31 goals/90), a reliable supplier (0.20 assists/90) and a dynamic dribbler (2.8/90). However, he loses possession under pressure (2.2 dispossessed/90).
- Yosuke Furukawa(98% match) — A Dynamic Forward. Statistically, he stands out as an elite creator (2.0 key passes/90), a constant goal threat (2.8 shots/90), a dynamic dribbler (2.4/90) and creates high-quality scoring opportunities (0.71 big chances/90). However, he loses possession under pressure (1.7 dispossessed/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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