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AI DNA Similarity

Best Alternatives to Patrik Hellebrand

Players most similar to Patrik Hellebrand (Midfielder, €915K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Patrik Hellebrand

  1. 1.Kai Klefisch98% DNA match·Darmstadt 98
  2. 2.Himad Abdelli98% DNA match·Olympique Marseille
  3. 3.Marcus Bonde98% DNA match·Aalborg BK

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

RT

Intelligence Verdict

Press IntensityTop 0%
???Bottom 23%

A Metronome....

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Playing Style Analysis

MetronomeDefensive

A Metronome. Statistically, he stands out as an aggressive ball-winner (3.0 tackles/90), meticulous in distribution (93% pass accuracy), wins the physical battle (60% duel success), heavily involved in possession (69 passes/90), wins the ball cleanly (2.0 successful tackles/90), central to possession (82 touches/90), switches play with precision (6.7 long balls/90, 86% accuracy), a high-intensity presser (press score 4.0/90), constantly disrupting opposition build-up and top 10% tackler in the league. The three most similar players to Patrik Hellebrand by playing style are:

  • Kai Klefisch(98% match)A Metronome. Statistically, he stands out as active in the tackle (1.9 tackles/90), meticulous in distribution (89% pass accuracy), wins the physical battle (58% duel success), heavily involved in possession (61 passes/90), central to possession (74 touches/90), uses long balls frequently (5.3/90) and active off the ball (2.7 press score/90), contributing to defensive transitions.
  • 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.
  • Marcus Bonde(98% match)A Metronome. Statistically, he stands out as an aggressive ball-winner (2.6 tackles/90), meticulous in distribution (86% pass accuracy), wins the physical battle (56% duel success), heavily involved in possession (76 passes/90), penetrates with forward passing (9.9 final-third passes/90), central to possession (92 touches/90) and uses long balls frequently (5.3/90). Note: this profile is based on 648 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
Patrik Hellebrand
MidfielderCzech Republic€915K
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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 Patrik Hellebrand.

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Frequently Asked Questions

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