RisingTransfers
AI DNA Similarity

Best Alternatives to Samuel Amo-Ameyaw

Players most similar to Samuel Amo-Ameyaw (Attacker, €8.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Samuel Amo-Ameyaw

  1. 1.Ernest Nuamah88% DNA match·Olympique Lyonnais€12.0M
  2. 2.Danny Namaso87% DNA match·Auxerre€5.0M
  3. 3.Lassine Sinayoko87% DNA match·Auxerre€7.0M

Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.

RT

Intelligence Verdict

Tackles WonTop 8%
???Bottom 0%

A Dynamic Forward....

See Full Verdict + Share Card →

Playing Style Analysis

Dynamic ForwardDribbler

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). The three most similar players to Samuel Amo-Ameyaw by playing style are:

  • Ernest Nuamah(88% match)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).
  • Danny Namaso(87% match)A Forward. Statistically, he stands out as a capable chance creator (1.5 key passes/90). However, he loses possession under pressure (2.3 dispossessed/90).
  • Lassine Sinayoko(87% match)A Complete Forward. Statistically, he stands out as a capable chance creator (1.4 key passes/90), a constant goal threat (3.4 shots/90), a proven goalscorer (0.59 goals/90), a reliable supplier (0.15 assists/90) and top 20% scorer in the league.

Transfer Intelligence

Ernest Nuamah delivers 88% of the same playing style, at a 50% premium over Samuel Amo-Ameyaw, with 0.25 goals per 90 at age 22.

Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →

S
Comparison Base
Samuel Amo-Ameyaw
AttackerEngland€8.0M
Full profile →

Similar Players — Ranked by DNA Similarity

Ask AI: Why are these players similar?

Our 768-dimension Player DNA model matches playing style, physical profile, pressing intensity, and tactical fit. Ask the AI to explain exactly what makes these players statistically similar to Samuel Amo-Ameyaw.

Ask AI about Samuel Amo-Ameyaw

Frequently Asked Questions

Who are the best alternatives to Samuel Amo-Ameyaw?
The top alternatives to Samuel Amo-Ameyaw based on AI DNA playing style analysis include: Ernest Nuamah, Danny Namaso, Lassine Sinayoko, Quentin Ndjantou, Igor Paixão. These players were matched using Rising Transfers' 768-dimension DNA model across playing style, pressing intensity, and tactical fit — not just position or market value.
Which players are similar to Samuel Amo-Ameyaw in 2026?
Players with a similar profile to Samuel Amo-Ameyaw in 2026 include Ernest Nuamah (€12.0M), Danny Namaso (€5.0M), Lassine Sinayoko (€7.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Samuel Amo-Ameyaw play and who plays similarly?
Samuel Amo-Ameyaw plays as a Attacker. Players with a comparable positional profile include Ernest Nuamah (Ghana, €12.0M); Danny Namaso (Cameroon, €5.0M); Lassine Sinayoko (Mali, €7.0M); Quentin Ndjantou (France, €7.0M).
How does Rising Transfers find similar players?
Rising Transfers uses a proprietary 768-dimension Player DNA model trained on 3.2 million match events. Each player is represented as a vector across 35+ per-90 metrics including pressing intensity, passing footprint, dribbling profile, and defensive contribution. Similarity is measured using cosine distance — the same technique used in state-of-the-art AI systems — making it the most precise player comparison tool available publicly.