RisingTransfers
AI DNA Similarity

Best Alternatives to Dejan Kulusevski  

Players most similar to Dejan Kulusevski   (Midfielder, €35.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Dejan Kulusevski  

  1. 1.Sami Ouaissa84% DNA match·NEC Nijmegen
  2. 2.Lander Astiazaran83% DNA match·Real Sociedad
  3. 3.James Maddison  83% DNA match·Tottenham Hotspur€30.0M

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

RT

Intelligence Verdict

Key PassesTop 2%
???Bottom 11%

Dejan Kulusevski is a Creator....

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Playing Style Analysis

CreatorCreative

Dejan Kulusevski is a Creator. Playmaker unlocking defenses with key passes. Statistically, he stands out as naturally left-footed, an elite creator (2.5 key passes/90), a regular goalscorer (0.26 goals/90), a reliable supplier (0.15 assists/90), heavily involved in play (54 touches/90) and top 10% creator in the league. The three most similar players to Dejan Kulusevski   by playing style are:

  • Sami Ouaissa(84% match)A Creator. Statistically, he stands out as an elite creator (1.8 key passes/90), a regular goalscorer (0.21 goals/90), a reliable supplier (0.21 assists/90), heavily involved in play (50 touches/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 20% creator in the league. However, he loses possession under pressure (1.5 dispossessed/90).
  • Lander Astiazaran(83% match)A Creator. Statistically, he stands out as an elite creator (1.6 key passes/90), a regular goalscorer (0.20 goals/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% creator in the league.
  • James Maddison  (83% match)James Maddison is a Creator. Playmaker unlocking defenses with key passes. Statistically, he stands out as an elite creator (2.1 key passes/90), a proven goalscorer (0.45 goals/90), a prolific assist provider (0.35 assists/90), meticulous in distribution (87% pass accuracy), penetrates with forward passing (8.6 final-third passes/90), central to possession (78 touches/90), draws fouls effectively (3.2/90) and top 10% creator in the league.

Transfer Intelligence

James Maddison   delivers 83% of the same playing style, at 14% lower cost (€30.0M vs €35.0M), with 2.12 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 →

D
Comparison Base
Dejan Kulusevski  
MidfielderSweden€35.0M
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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 Dejan Kulusevski  .

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Frequently Asked Questions

Who are the best alternatives to Dejan Kulusevski  ?
The top alternatives to Dejan Kulusevski   based on AI DNA playing style analysis include: Sami Ouaissa, Lander Astiazaran, James Maddison  , Jakob Breum, Santiago García González. 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 Dejan Kulusevski   in 2026?
Players with a similar profile to Dejan Kulusevski   in 2026 include Sami Ouaissa (N/A), Lander Astiazaran (N/A), James Maddison   (€30.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Dejan Kulusevski   play and who plays similarly?
Dejan Kulusevski   plays as a Midfielder. Players with a comparable positional profile include Sami Ouaissa (Netherlands, N/A); Lander Astiazaran (Spain, N/A); James Maddison   (England, €30.0M); Jakob Breum (Denmark, 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.