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AI DNA Similarity

Best Alternatives to Csanád Vilmos Dénes

Players most similar to Csanád Vilmos Dénes (Attacker, €1.1M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Csanád Vilmos Dénes

  1. 1.Esmir Bajraktarevic82% DNA match·PSV€5.0M
  2. 2.Thiago Borbas82% DNA match·Real Oviedo€4.8M
  3. 3.João Marques82% DNA match·Casa Pia€3.5M

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

RT

Intelligence Verdict

AssistsTop 3%
???Bottom 4%

A Complete Forward....

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Playing Style Analysis

Complete ForwardSmall Sample

A Complete Forward. Statistically, he stands out as an elite creator (2.5 key passes/90), a prolific assist provider (0.42 assists/90), creates high-quality scoring opportunities (0.70 big chances/90) and draws fouls effectively (2.2/90). However, he loses possession under pressure (1.8 dispossessed/90) and prone to committing fouls (3.5/90). The three most similar players to Csanád Vilmos Dénes by playing style are:

  • Esmir Bajraktarevic(82% match)A Inside Forward. Statistically, he stands out as an elite creator (1.9 key passes/90), a constant goal threat (3.1 shots/90), a regular goalscorer (0.34 goals/90), a prolific assist provider (0.34 assists/90), meticulous in distribution (88% pass accuracy) and creates high-quality scoring opportunities (0.51 big chances/90).
  • Thiago Borbas(82% match)A Target Man. Statistically, he stands out as a capable chance creator (1.3 key passes/90), a reliable supplier (0.16 assists/90) and strong in aerial duels (3.8 aerials won/90). However, he loses possession under pressure (1.7 dispossessed/90) and prone to committing fouls (2.8/90).
  • João Marques(82% match)A Forward. Statistically, he stands out as a reliable supplier (0.15 assists/90) and wins the physical battle (59% duel success). Note: this profile is based on 588 minutes of playing time this season.

Transfer Intelligence

Esmir Bajraktarevic delivers 82% of the same playing style, at a 355% premium over Csanád Vilmos Dénes, with 0.34 goals per 90 at age 21. That's 241% of Csanád Vilmos Dénes's output in goals per 90 — a credible like-for-like option.

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

C
Comparison Base
Csanád Vilmos Dénes
AttackerHungary€1.1M
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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 Csanád Vilmos Dénes.

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Frequently Asked Questions

Who are the best alternatives to Csanád Vilmos Dénes?
The top alternatives to Csanád Vilmos Dénes based on AI DNA playing style analysis include: Esmir Bajraktarevic, Thiago Borbas, João Marques, Mikkel Duelund, Ritsu Doan. 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 Csanád Vilmos Dénes in 2026?
Players with a similar profile to Csanád Vilmos Dénes in 2026 include Esmir Bajraktarevic (€5.0M), Thiago Borbas (€4.8M), João Marques (€3.5M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Csanád Vilmos Dénes play and who plays similarly?
Csanád Vilmos Dénes plays as a Attacker. Players with a comparable positional profile include Esmir Bajraktarevic (United States, €5.0M); Thiago Borbas (Uruguay, €4.8M); João Marques (Portugal, €3.5M); Mikkel Duelund (Denmark, €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.