RisingTransfers
AI DNA Similarity

Best Alternatives to Juan Cuadrado

Players most similar to Juan Cuadrado (Midfielder, €20.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Juan Cuadrado

  1. 1.Matteo Pessina86% DNA match·Monza€5.0M
  2. 2.Rocco Ascone85% DNA match·Nordsjælland
  3. 3.Jay Matete84% DNA match·Sunderland

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 3%

A Ball-Winner....

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Playing Style Analysis

Ball-WinnerCreativeSmall Sample

A Ball-Winner. Statistically, he stands out as an elite creator (2.1 key passes/90), a reliable supplier (0.22 assists/90), active in the tackle (2.2 tackles/90), meticulous in distribution (85% pass accuracy), wins the physical battle (63% duel success), central to possession (84 touches/90), draws fouls effectively (3.0/90) and top 10% creator in the league. Note: this profile is based on 823 minutes of playing time this season. The three most similar players to Juan Cuadrado by playing style are:

  • Matteo Pessina(86% match)A Ball-Winner. Statistically, he stands out as naturally left-footed and an elite creator (1.5 key passes/90).
  • Rocco Ascone(85% match)A Ball-Winner. Statistically, he stands out as an elite creator (2.2 key passes/90), an aggressive ball-winner (5.5 tackles/90), wins the physical battle (60% duel success), wins the ball cleanly (2.8 successful tackles/90), central to possession (70 touches/90), uses long balls frequently (5.5/90), active off the ball (2.9 press score/90), contributing to defensive transitions, top 10% creator in the league and top 10% tackler in the league. Note: this profile is based on 542 minutes of playing time this season.
  • Jay Matete(84% match)A Ball-Winner. Statistically, he stands out as a capable chance creator (1.2 key passes/90), an aggressive ball-winner (2.7 tackles/90), meticulous in distribution (88% pass accuracy), wins the physical battle (56% duel success), creates high-quality scoring opportunities (0.65 big chances/90), heavily involved in play (64 touches/90), draws fouls effectively (2.4/90) and top 10% tackler in the league.

Transfer Intelligence

Matteo Pessina delivers 86% of the same playing style, at 75% lower cost (€5.0M vs €20.0M), with 1.04 key passes per 90 at age 29.

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

J
Comparison Base
Juan Cuadrado
MidfielderColombia€20.0M
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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 Juan Cuadrado.

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Frequently Asked Questions

Who are the best alternatives to Juan Cuadrado?
The top alternatives to Juan Cuadrado based on AI DNA playing style analysis include: Matteo Pessina, Rocco Ascone, Jay Matete, Daniele Baselli, Guido Rodríguez. 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 Juan Cuadrado in 2026?
Players with a similar profile to Juan Cuadrado in 2026 include Matteo Pessina (€5.0M), Rocco Ascone (N/A), Jay Matete (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Juan Cuadrado play and who plays similarly?
Juan Cuadrado plays as a Midfielder. Players with a comparable positional profile include Matteo Pessina (Italy, €5.0M); Rocco Ascone (France, N/A); Jay Matete (England, N/A); Daniele Baselli (Italy, 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.