RisingTransfers
AI DNA Similarity

Best Alternatives to Junsheng Yao

Players most similar to Junsheng Yao (Midfielder, €2.6M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Junsheng Yao

  1. 1.Jerome Deom98% DNA match·Roda JC Kerkrade
  2. 2.Unai Vencedor98% DNA match·Levante
  3. 3.Mawuli Kwame Mensah Vadze98% DNA match·Real Betis

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

RT

Intelligence Verdict

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A Box-to-Box....

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Playing Style Analysis

Box-to-BoxSmall Sample

A Box-to-Box. Statistically, he stands out as a capable chance creator (1.2 key passes/90), active in the tackle (2.2 tackles/90), meticulous in distribution (87% pass accuracy), wins the physical battle (62% duel success), penetrates with forward passing (13.1 final-third passes/90), heavily involved in play (66 touches/90) and switches play with precision (9.1 long balls/90, 74% accuracy). Note: this profile is based on 455 minutes of playing time this season. The three most similar players to Junsheng Yao by playing style are:

  • Jerome Deom(98% match)A Box-to-Box. Statistically, he stands out as a capable chance creator (1.5 key passes/90), an aggressive ball-winner (2.6 tackles/90), wins the ball cleanly (2.4 successful tackles/90), heavily involved in play (57 touches/90), active off the ball (2.3 press score/90), contributing to defensive transitions and top 20% creator in the league. Note: this profile is based on 490 minutes of playing time this season.
  • Unai Vencedor(98% match)A Box-to-Box. Statistically, he stands out as a capable chance creator (1.3 key passes/90), active in the tackle (2.2 tackles/90), penetrates with forward passing (8.4 final-third passes/90), heavily involved in play (58 touches/90), switches play with precision (6.8 long balls/90, 68% accuracy) and active off the ball (2.5 press score/90), contributing to defensive transitions. Note: this profile is based on 568 minutes of playing time this season.
  • Mawuli Kwame Mensah Vadze(98% match)A Box-to-Box. Statistically, he stands out as active in the tackle (2.5 tackles/90), meticulous in distribution (91% pass accuracy), wins the physical battle (63% duel success), heavily involved in play (59 touches/90) and a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up. Note: this profile is based on 688 minutes of playing time this season.

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

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Comparison Base
Junsheng Yao
MidfielderChina€2.6M
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Similar Players — Ranked by DNA Similarity

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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 Junsheng Yao.

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Frequently Asked Questions

Who are the best alternatives to Junsheng Yao?
The top alternatives to Junsheng Yao based on AI DNA playing style analysis include: Jerome Deom, Unai Vencedor, Mawuli Kwame Mensah Vadze, M. Due Grandt, Yusuf Deniz Sas. 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 Junsheng Yao in 2026?
Players with a similar profile to Junsheng Yao in 2026 include Jerome Deom (N/A), Unai Vencedor (N/A), Mawuli Kwame Mensah Vadze (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Junsheng Yao play and who plays similarly?
Junsheng Yao plays as a Midfielder. Players with a comparable positional profile include Jerome Deom (Belgium, N/A); Unai Vencedor (Spain, N/A); Mawuli Kwame Mensah Vadze (Ghana, N/A); M. Due Grandt (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.