Best Alternatives to Ernest Nuamah
Players most similar to Ernest Nuamah (Attacker, €12.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Ernest Nuamah
- 1.Samuel Amo-Ameyaw88% DNA match·Strasbourg€8.0M
- 2.Justin Njinmah88% DNA match·Werder Bremen€7.0M
- 3.Antonio Nusa86% DNA match·RB Leipzig€32.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Intelligence Verdict
“A Complete Forward....”
See Full Verdict + Share Card →Playing Style Analysis
A Complete Forward. Statistically, he stands out as naturally left-footed, an elite creator (1.5 key passes/90), a regular goalscorer (0.25 goals/90) and creates high-quality scoring opportunities (0.68 big chances/90). However, he loses possession under pressure (1.9 dispossessed/90). The three most similar players to Ernest Nuamah by playing style are:
- Samuel Amo-Ameyaw(88% match) — A Dynamic Forward. Statistically, he stands out as naturally left-footed, a capable chance creator (1.3 key passes/90), a reliable supplier (0.19 assists/90), a dynamic dribbler (2.6/90), meticulous in distribution (89% pass accuracy) and draws fouls effectively (2.0/90). However, he loses possession under pressure (1.6 dispossessed/90).
- Justin Njinmah(88% match) — A Complete Forward. Statistically, he stands out as a constant goal threat (3.3 shots/90) and a regular goalscorer (0.39 goals/90). Note: this profile is based on 691 minutes of playing time this season.
- Antonio Nusa(86% match) — A Inside Forward. Statistically, he stands out as a capable chance creator (1.3 key passes/90), a constant goal threat (2.9 shots/90), a regular goalscorer (0.20 goals/90), a reliable supplier (0.20 assists/90), a dynamic dribbler (2.8/90) and draws fouls effectively (2.8/90). However, he loses possession under pressure (1.8 dispossessed/90).
Transfer Intelligence
Samuel Amo-Ameyaw delivers 88% of the same playing style, at 33% lower cost (€8.0M vs €12.0M), and is 19 years old.
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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