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AI DNA Similarity

Best Alternatives to Filip Krastev

Players most similar to Filip Krastev (Midfielder, €2.3M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Filip Krastev

  1. 1.Odysseus Velanas98% DNA match·PEC Zwolle
  2. 2.Pablo Gozálbez98% DNA match·Arouca
  3. 3.Bernardo Sousa Pereira Brites Martins98% DNA match·Moreirense

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

RT

Intelligence Verdict

DribblesTop 6%

A Creator....

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Playing Style Analysis

CreatorCreativeDefensiveSmall Sample

A Creator. Statistically, he stands out as an elite creator (2.0 key passes/90), a reliable supplier (0.18 assists/90), an aggressive ball-winner (4.4 tackles/90), heavily involved in play (52 touches/90), active off the ball (2.7 press score/90), contributing to defensive transitions, top 20% creator in the league and top 10% tackler in the league. However, he loses possession under pressure (2.0 dispossessed/90) and prone to committing fouls (4.0/90). The three most similar players to Filip Krastev by playing style are:

  • Odysseus Velanas(98% match)A Creator. Statistically, he stands out as an elite creator (2.0 key passes/90), a regular goalscorer (0.33 goals/90), a reliable supplier (0.17 assists/90), an aggressive ball-winner (3.3 tackles/90), creates high-quality scoring opportunities (0.67 big chances/90), wins the ball cleanly (2.0 successful tackles/90), heavily involved in play (53 touches/90), draws fouls effectively (2.5/90), active off the ball (2.4 press score/90), contributing to defensive transitions, top 20% creator in the league and top 10% tackler in the league. Note: this profile is based on 539 minutes of playing time this season.
  • Pablo Gozálbez(98% match)A Creator. Statistically, he stands out as a capable chance creator (1.2 key passes/90), active in the tackle (2.1 tackles/90), draws fouls effectively (2.1/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. Note: this profile is based on 895 minutes of playing time this season.
  • Bernardo Sousa Pereira Brites Martins(98% match)A Creator. Statistically, he stands out as a reliable supplier (0.15 assists/90), an aggressive ball-winner (2.8 tackles/90), wins the ball cleanly (2.1 successful tackles/90), heavily involved in play (60 touches/90), draws fouls effectively (2.7/90), a high-intensity presser (press score 3.4/90), constantly disrupting opposition build-up and top 10% tackler in the league. However, he can be exposed in 1v1 situations and prone to committing fouls (2.7/90).

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

F
Comparison Base
Filip Krastev
MidfielderBulgaria€2.3M
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Similar Players — Ranked by DNA Similarity

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Frequently Asked Questions

Who are the best alternatives to Filip Krastev?
The top alternatives to Filip Krastev based on AI DNA playing style analysis include: Odysseus Velanas, Pablo Gozálbez, Bernardo Sousa Pereira Brites Martins, Gustavo Klismahn, Villum Berthelsen. 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 Filip Krastev in 2026?
Players with a similar profile to Filip Krastev in 2026 include Odysseus Velanas (N/A), Pablo Gozálbez (N/A), Bernardo Sousa Pereira Brites Martins (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Filip Krastev play and who plays similarly?
Filip Krastev plays as a Midfielder. Players with a comparable positional profile include Odysseus Velanas (Netherlands, N/A); Pablo Gozálbez (Spain, N/A); Bernardo Sousa Pereira Brites Martins (Portugal, N/A); Gustavo Klismahn (Brazil, 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.