Best Alternatives to Ethan Mbappé
Players most similar to Ethan Mbappé (Midfielder, €9.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Ethan Mbappé
- 1.Raul Paula98% DNA match·NAC Breda
- 2.Javier Fernandez98% DNA match·FC Bayern München
- 3.Efkan Bekiroğlu97% DNA match·Göztepe
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Creator. Statistically, he stands out as naturally left-footed, an elite creator (2.0 key passes/90), a constant goal threat (2.6 shots/90), a proven goalscorer (0.56 goals/90), a reliable supplier (0.19 assists/90), active in the tackle (1.9 tackles/90), heavily involved in play (60 touches/90) and top 10% creator in the league. However, he loses possession under pressure (1.7 dispossessed/90). The three most similar players to Ethan Mbappé by playing style are:
- Raul Paula(98% match) — A Creator. Statistically, he stands out as an elite creator (1.9 key passes/90), a constant goal threat (2.9 shots/90), a regular goalscorer (0.25 goals/90), a prolific assist provider (0.25 assists/90), heavily involved in play (55 touches/90), draws fouls effectively (2.8/90) and top 20% creator in the league. However, he loses possession under pressure (2.0 dispossessed/90).
- Javier Fernandez(98% match) — A Creator. Statistically, he stands out as an elite creator (1.9 key passes/90), a constant goal threat (4.0 shots/90), a regular goalscorer (0.33 goals/90), a reliable supplier (0.22 assists/90), active in the tackle (2.3 tackles/90), wins the physical battle (58% duel success), top 10% creator in the league and top 10% tackler in the league. Note: this profile is based on 810 minutes of playing time this season.
- Efkan Bekiroğlu(97% match) — A Creator. Statistically, he stands out as an elite creator (2.8 key passes/90), a regular goalscorer (0.25 goals/90), a prolific assist provider (0.25 assists/90) and top 10% creator in the league.
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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