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AI DNA Similarity

Best Alternatives to Eduard Atuesta

Players most similar to Eduard Atuesta (Midfielder, €3.2M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Eduard Atuesta

  1. 1.Mawuli Kwame Mensah Vadze99% DNA match·Real Betis
  2. 2.M. Due Grandt98% DNA match·Hillerød
  3. 3.Robert Wagner98% DNA match·Dynamo Dresden

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

RT

Intelligence Verdict

Press IntensityTop 7%
???Bottom 0%

A Box-to-Box....

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Playing Style Analysis

Box-to-BoxSmall Sample

A Box-to-Box. Statistically, he stands out as active in the tackle (2.4 tackles/90), meticulous in distribution (86% pass accuracy), heavily involved in play (65 touches/90), uses long balls frequently (5.3/90) and a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up. Note: this profile is based on 456 minutes of playing time this season. The three most similar players to Eduard Atuesta by playing style are:

  • Mawuli Kwame Mensah Vadze(99% 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.
  • M. Due Grandt(98% match)A Box-to-Box. Statistically, he stands out as reads the game exceptionally (1.7 interceptions/90), wins the physical battle (56% duel success), penetrates with forward passing (9.3 final-third passes/90), heavily involved in play (66 touches/90), uses long balls frequently (5.9/90) and active off the ball (2.9 press score/90), contributing to defensive transitions. Note: this profile is based on 705 minutes of playing time this season.
  • Robert Wagner(98% match)A Box-to-Box. Statistically, he stands out as active in the tackle (2.1 tackles/90), meticulous in distribution (86% pass accuracy), heavily involved in play (60 touches/90) and active off the ball (2.6 press score/90), contributing to defensive transitions.

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

E
Comparison Base
Eduard Atuesta
MidfielderColombia€3.2M
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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 Eduard Atuesta.

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Frequently Asked Questions

Who are the best alternatives to Eduard Atuesta?
The top alternatives to Eduard Atuesta based on AI DNA playing style analysis include: Mawuli Kwame Mensah Vadze, M. Due Grandt, Robert Wagner, T. Antalyalı, Paul Will. 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 Eduard Atuesta in 2026?
Players with a similar profile to Eduard Atuesta in 2026 include Mawuli Kwame Mensah Vadze (N/A), M. Due Grandt (N/A), Robert Wagner (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Eduard Atuesta play and who plays similarly?
Eduard Atuesta plays as a Midfielder. Players with a comparable positional profile include Mawuli Kwame Mensah Vadze (Ghana, N/A); M. Due Grandt (Denmark, N/A); Robert Wagner (Germany, N/A); T. Antalyalı (Turkey, 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.