RisingTransfers
AI DNA Similarity

Best Alternatives to Charles-Andre Raux Yao

Players most similar to Charles-Andre Raux Yao (Midfielder, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Charles-Andre Raux Yao

  1. 1.Hamza Akman98% DNA match·Eyüpspor
  2. 2.Maurice Krattenmacher98% DNA match·Hertha BSC
  3. 3.Antonio Vergara97% DNA match·Napoli

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

RT

Intelligence Verdict

Aerials WonTop 3%
???Bottom 20%

A Ball-Winner....

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Playing Style Analysis

Ball-WinnerSmall Sample

A Ball-Winner. Statistically, he stands out as a capable chance creator (1.1 key passes/90), a constant goal threat (2.5 shots/90), a regular goalscorer (0.36 goals/90), active in the tackle (2.2 tackles/90), heavily involved in play (64 touches/90), draws fouls effectively (5.8/90) and a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up. However, he loses possession under pressure (2.7 dispossessed/90). The three most similar players to Charles-Andre Raux Yao by playing style are:

  • Hamza Akman(98% match)A Box-to-Box. Statistically, he stands out as a capable chance creator (1.0 key passes/90), meticulous in distribution (87% pass accuracy), heavily involved in play (53 touches/90), draws fouls effectively (3.4/90) and active off the ball (2.3 press score/90), contributing to defensive transitions.
  • Maurice Krattenmacher(98% match)A Ball-Winner. Statistically, he stands out as a capable chance creator (1.2 key passes/90), a constant goal threat (2.5 shots/90), heavily involved in play (51 touches/90), draws fouls effectively (5.5/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. However, he loses possession under pressure (2.4 dispossessed/90).
  • Antonio Vergara(97% match)A Creator. Statistically, he stands out as a capable chance creator (1.5 key passes/90), a prolific assist provider (0.37 assists/90), active in the tackle (2.0 tackles/90), heavily involved in play (52 touches/90), draws fouls effectively (3.5/90) and active off the ball (2.7 press score/90), contributing to defensive transitions. However, he loses possession under pressure (2.6 dispossessed/90) and prone to committing fouls (2.8/90).

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

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Comparison Base
Charles-Andre Raux Yao
MidfielderFranceN/A
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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 Charles-Andre Raux Yao.

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Frequently Asked Questions

Who are the best alternatives to Charles-Andre Raux Yao?
The top alternatives to Charles-Andre Raux Yao based on AI DNA playing style analysis include: Hamza Akman, Maurice Krattenmacher, Antonio Vergara, W. Steindorsson, José Luís Rocha Tavares. 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 Charles-Andre Raux Yao in 2026?
Players with a similar profile to Charles-Andre Raux Yao in 2026 include Hamza Akman (N/A), Maurice Krattenmacher (N/A), Antonio Vergara (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Charles-Andre Raux Yao play and who plays similarly?
Charles-Andre Raux Yao plays as a Midfielder. Players with a comparable positional profile include Hamza Akman (Turkey, N/A); Maurice Krattenmacher (Germany, N/A); Antonio Vergara (Italy, N/A); W. Steindorsson (Denmark, N/A).
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.