RisingTransfers
AI DNA Similarity

Best Alternatives to Djé D'Avilla

Players most similar to Djé D'Avilla (Midfielder, €4.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Djé D'Avilla

  1. 1.Mees Hoedemakers98% DNA match·Viborg FF
  2. 2.Himad Abdelli98% DNA match·Olympique Marseille
  3. 3.Pedro Santos97% DNA match·Arouca

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

RT

Intelligence Verdict

Press IntensityTop 6%
???Bottom 0%

A Metronome....

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Playing Style Analysis

MetronomeSmall Sample

A Metronome. Statistically, he stands out as active in the tackle (1.8 tackles/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (89% pass accuracy), central to possession (71 touches/90) and a high-intensity presser (press score 3.4/90), constantly disrupting opposition build-up. Note: this profile is based on 781 minutes of playing time this season. The three most similar players to Djé D'Avilla by playing style are:

  • Mees Hoedemakers(98% match)A Metronome. Statistically, he stands out as an aggressive ball-winner (3.5 tackles/90), reads the game exceptionally (2.1 interceptions/90), wins the physical battle (61% duel success), wins the ball cleanly (1.9 successful tackles/90), central to possession (74 touches/90), a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up and top 10% tackler in the league. Note: this profile is based on 517 minutes of playing time this season.
  • Himad Abdelli(98% match)A Metronome. Statistically, he stands out as active in the tackle (2.0 tackles/90), meticulous in distribution (87% pass accuracy), central to possession (76 touches/90) and a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up.
  • Pedro Santos(97% match)A Metronome. Statistically, he stands out as active in the tackle (2.1 tackles/90), meticulous in distribution (91% pass accuracy), heavily involved in possession (68 passes/90), penetrates with forward passing (11.3 final-third passes/90), central to possession (80 touches/90), uses long balls frequently (7.6/90) and a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up. Note: this profile is based on 756 minutes of playing time this season.

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

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Comparison Base
Djé D'Avilla
MidfielderIvory Coast€4.0M
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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 Djé D'Avilla.

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Frequently Asked Questions

Who are the best alternatives to Djé D'Avilla?
The top alternatives to Djé D'Avilla based on AI DNA playing style analysis include: Mees Hoedemakers, Himad Abdelli, Pedro Santos, Kai Klefisch, Marcus Bonde. 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 Djé D'Avilla in 2026?
Players with a similar profile to Djé D'Avilla in 2026 include Mees Hoedemakers (N/A), Himad Abdelli (N/A), Pedro Santos (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Djé D'Avilla play and who plays similarly?
Djé D'Avilla plays as a Midfielder. Players with a comparable positional profile include Mees Hoedemakers (Netherlands, N/A); Himad Abdelli (Algeria, N/A); Pedro Santos (Portugal, N/A); Kai Klefisch (Germany, 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.