RisingTransfers
AI DNA Similarity

Best Alternatives to Frankie Amaya

Players most similar to Frankie Amaya (Midfielder, €3.8M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Frankie Amaya

  1. 1.Federico Redondo83% DNA match·Elche€4.0M
  2. 2.Pedro Díaz83% DNA match·Rayo Vallecano€3.0M
  3. 3.Luis Milla83% DNA match·Getafe€3.5M

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

RT

Intelligence Verdict

Key PassesTop 9%
???Bottom 0%

A Creator....

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Playing Style Analysis

CreatorCreativeDefensiveSmall Sample

A Creator. Statistically, he stands out as an elite creator (2.2 key passes/90), a regular goalscorer (0.20 goals/90), an aggressive ball-winner (3.4 tackles/90), meticulous in distribution (93% pass accuracy), central to possession (73 touches/90), active off the ball (2.1 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 453 minutes of playing time this season. The three most similar players to Frankie Amaya by playing style are:

  • Federico Redondo(83% match)Redondo is the quintessential "volume controller" whose surgical distribution and relentless defensive work rate suggest a player far more physically imposing than his duel success rate implies. Operating at a Tier C club, he is effectively the entire engine room, ranking in the top 5% for both passes per 90 (84.3) and tackles won (1.91), a rare statistical profile that combines the elegance of a deep-lying playmaker with the grit of a ball-winner. The counterintuitive insight lies in his goalscoring; despite sitting in the bottom 10% for shot volume, his 0.27 goals per 90 (top 5%) reveals a lethal efficiency when he does arrive late in the box.
  • Pedro Díaz(83% match)A Creator. Statistically, he stands out as a capable chance creator (1.5 key passes/90), active in the tackle (2.0 tackles/90), meticulous in distribution (87% pass accuracy), heavily involved in play (52 touches/90) and active off the ball (2.0 press score/90), contributing to defensive transitions.
  • Luis Milla(83% match)A Box-to-Box. Statistically, he stands out as an elite creator (2.8 key passes/90), a prolific assist provider (0.36 assists/90), heavily involved in play (60 touches/90), uses long balls frequently (5.1/90), active off the ball (3.0 press score/90), contributing to defensive transitions and top 10% creator in the league.

Transfer Intelligence

Federico Redondo delivers 83% of the same playing style, with 1.09 key passes per 90 at age 23.

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

F
Comparison Base
Frankie Amaya
MidfielderUnited States€3.8M
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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 Frankie Amaya.

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Frequently Asked Questions

Who are the best alternatives to Frankie Amaya?
The top alternatives to Frankie Amaya based on AI DNA playing style analysis include: Federico Redondo, Pedro Díaz, Luis Milla, André Almeida, Hugo Sotelo. 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 Frankie Amaya in 2026?
Players with a similar profile to Frankie Amaya in 2026 include Federico Redondo (€4.0M), Pedro Díaz (€3.0M), Luis Milla (€3.5M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Frankie Amaya play and who plays similarly?
Frankie Amaya plays as a Midfielder. Players with a comparable positional profile include Federico Redondo (Argentina, €4.0M); Pedro Díaz (Spain, €3.0M); Luis Milla (Spain, €3.5M); André Almeida (Portugal, €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.