AI DNA Similarity

Best Alternatives to Marco Brylov

Players most similar to Marco Brylov (Goalkeeper, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Playing Style Analysis

A Traditional Keeper. The three most similar players to Marco Brylov by playing style are:

  • Markus Schubert(100% match)A Traditional Keeper.
  • Wesley Zonneveld(88% match)A Traditional Keeper. However, he concedes frequently (1.77/90).
  • Mitchel Michaelis(88% match)A Traditional Keeper. However, he concedes frequently (1.58/90).

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

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Comparison Base
Marco Brylov
GoalkeeperDenmarkN/A
Full profile →

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 Marco Brylov.

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Frequently Asked Questions

Who are the best alternatives to Marco Brylov?
The top alternatives to Marco Brylov based on AI DNA playing style analysis include: Markus Schubert, Wesley Zonneveld, Mitchel Michaelis, Diego Conde, Thibaut Courtois. 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 Marco Brylov in 2026?
Players with a similar profile to Marco Brylov in 2026 include Markus Schubert (N/A), Wesley Zonneveld (N/A), Mitchel Michaelis (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Marco Brylov play and who plays similarly?
Marco Brylov plays as a Goalkeeper. Players with a comparable positional profile include Markus Schubert (Germany, N/A); Wesley Zonneveld (Netherlands, N/A); Mitchel Michaelis (Netherlands, N/A); Diego Conde (Spain, €4.0M).
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.