RisingTransfers
AI DNA Similarity

Best Alternatives to Dawhan

Players most similar to Dawhan (Midfielder, €1.3M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Dawhan

  1. 1.Pedro Santos98% DNA match·Arouca
  2. 2.Marcus Bonde98% DNA match·Aalborg BK
  3. 3.Rasmus Falk97% DNA match·Odense BK

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

RT

Intelligence Verdict

Press IntensityTop 16%

A Metronome....

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Playing Style Analysis

MetronomeSmall Sample

A Metronome. Statistically, he stands out as a capable chance creator (1.4 key passes/90), meticulous in distribution (89% pass accuracy), wins the physical battle (62% duel success), heavily involved in possession (70 passes/90), penetrates with forward passing (9.1 final-third passes/90), central to possession (82 touches/90) and active off the ball (2.9 press score/90), contributing to defensive transitions. Note: this profile is based on 502 minutes of playing time this season. The three most similar players to Dawhan by playing style are:

  • Pedro Santos(98% 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.
  • 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.
  • Rasmus Falk(97% match)A Metronome. Statistically, he stands out as a capable chance creator (1.3 key passes/90), a reliable supplier (0.15 assists/90), active in the tackle (2.4 tackles/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (89% pass accuracy), heavily involved in possession (71 passes/90), penetrates with forward passing (8.8 final-third passes/90), central to possession (86 touches/90) and a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up.

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

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Comparison Base
Dawhan
MidfielderBrazil€1.3M
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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 Dawhan.

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Frequently Asked Questions

Who are the best alternatives to Dawhan?
The top alternatives to Dawhan based on AI DNA playing style analysis include: Pedro Santos, Marcus Bonde, Rasmus Falk, Magnus Saaby, Magnus Kirchheiner. 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 Dawhan in 2026?
Players with a similar profile to Dawhan in 2026 include Pedro Santos (N/A), Marcus Bonde (N/A), Rasmus Falk (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Dawhan play and who plays similarly?
Dawhan plays as a Midfielder. Players with a comparable positional profile include Pedro Santos (Portugal, N/A); Marcus Bonde (Denmark, N/A); Rasmus Falk (Denmark, N/A); Magnus Saaby (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.