RisingTransfers
AI DNA Similarity

Best Alternatives to Carles Aleñá

Players most similar to Carles Aleñá (Midfielder, €3.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Carles Aleñá

  1. 1.Ander Guevara85% DNA match·Deportivo Alavés€3.0M
  2. 2.Pablo Torre84% DNA match·Mallorca€5.0M
  3. 3.Gavi83% DNA match·FC Barcelona€40.0M

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

RT

Intelligence Verdict

Big ChancesTop 14%
???Bottom 0%

A Box-to-Box....

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Playing Style Analysis

Box-to-Box

A Box-to-Box. Statistically, he stands out as naturally left-footed, a capable chance creator (1.5 key passes/90), a reliable supplier (0.18 assists/90), meticulous in distribution (86% pass accuracy), heavily involved in play (58 touches/90) and active off the ball (2.0 press score/90), contributing to defensive transitions. However, he loses possession under pressure (1.6 dispossessed/90). The three most similar players to Carles Aleñá by playing style are:

  • Ander Guevara(85% match)A Metronome. Statistically, he stands out as a capable chance creator (1.1 key passes/90), a reliable supplier (0.18 assists/90), active in the tackle (1.8 tackles/90), central to possession (76 touches/90), switches play with precision (5.6 long balls/90, 61% accuracy) and a high-intensity presser (press score 3.0/90), constantly disrupting opposition build-up. However, he can be exposed in 1v1 situations and loses possession under pressure (1.6 dispossessed/90).
  • Pablo Torre(84% match)A Creator. Statistically, he stands out as an elite creator (2.1 key passes/90), a regular goalscorer (0.20 goals/90), a reliable supplier (0.20 assists/90), meticulous in distribution (85% pass accuracy), penetrates with forward passing (8.3 final-third passes/90), heavily involved in play (63 touches/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 20% creator in the league.
  • Gavi(83% match)A Metronome. Statistically, he stands out as a capable chance creator (1.2 key passes/90), an aggressive ball-winner (2.6 tackles/90), meticulous in distribution (91% pass accuracy), heavily involved in possession (66 passes/90), central to possession (82 touches/90), draws fouls effectively (2.2/90) and active off the ball (2.3 press score/90), contributing to defensive transitions. However, he prone to committing fouls (3.1/90).

Transfer Intelligence

Ander Guevara delivers 85% of the same playing style, with 1.08 key passes per 90 at age 28.

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

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Comparison Base
Carles Aleñá
MidfielderSpain€3.0M
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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 Carles Aleñá.

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Frequently Asked Questions

Who are the best alternatives to Carles Aleñá?
The top alternatives to Carles Aleñá based on AI DNA playing style analysis include: Ander Guevara, Pablo Torre, Gavi, André Almeida, Aleix Febas. 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 Carles Aleñá in 2026?
Players with a similar profile to Carles Aleñá in 2026 include Ander Guevara (€3.0M), Pablo Torre (€5.0M), Gavi (€40.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Carles Aleñá play and who plays similarly?
Carles Aleñá plays as a Midfielder. Players with a comparable positional profile include Ander Guevara (Spain, €3.0M); Pablo Torre (Spain, €5.0M); Gavi (Spain, €40.0M); 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.