RisingTransfers
AI DNA Similarity

Best Alternatives to Jhonny Quiñónez

Players most similar to Jhonny Quiñónez (Midfielder, €910K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Jhonny Quiñónez

  1. 1.Younes Bakiz83% DNA match·Silkeborg IF
  2. 2.Raúl Guti83% DNA match·Real Zaragoza€5.0M
  3. 3.Minos Gouras83% DNA match·Homburg

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

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Comparison Base
Jhonny Quiñónez
MidfielderEcuador€910K
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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 Jhonny Quiñónez.

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Frequently Asked Questions

Who are the best alternatives to Jhonny Quiñónez?
The top alternatives to Jhonny Quiñónez based on AI DNA playing style analysis include: Younes Bakiz, Raúl Guti, Minos Gouras, Jacopo Fazzini, Joshua Eijgenraam. 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 Jhonny Quiñónez in 2026?
Players with a similar profile to Jhonny Quiñónez in 2026 include Younes Bakiz (N/A), Raúl Guti (€5.0M), Minos Gouras (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Jhonny Quiñónez play and who plays similarly?
Jhonny Quiñónez plays as a Midfielder. Players with a comparable positional profile include Younes Bakiz (Denmark, N/A); Raúl Guti (Spain, €5.0M); Minos Gouras (Germany, N/A); Jacopo Fazzini (Italy, €9.0M).
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.