RisingTransfers
AI DNA Similarity

Best Alternatives to Ilja Zhigulev

Players most similar to Ilja Zhigulev (Midfielder, €300K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Ilja Zhigulev

  1. 1.İsmail Yüksek84% DNA match·Fenerbahçe€13.0M
  2. 2.Cyril Mandouki84% DNA match·Laval
  3. 3.Kaan Caliskaner84% DNA match·Saarbrücken

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

RT

Intelligence Verdict

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Ilya Zhigulev is a Ball-Winner....

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Playing Style Analysis

Ball-WinnerCreativeDefensiveSmall Sample

Ilya Zhigulev is a Ball-Winner. Aggressive midfielder who disrupts opponents. Statistically, he stands out as an elite creator (1.6 key passes/90), a reliable supplier (0.18 assists/90), an aggressive ball-winner (3.2 tackles/90), reads the game exceptionally (1.6 interceptions/90), top 20% creator in the league and top 10% tackler in the league. The three most similar players to Ilja Zhigulev by playing style are:

  • İsmail Yüksek(84% match)İsmail Yüksek is a Ball-Winner. Aggressive midfielder who disrupts opponents. Statistically, he stands out as a reliable supplier (0.19 assists/90), an aggressive ball-winner (3.6 tackles/90), reads the game exceptionally (1.6 interceptions/90), wins the physical battle (58% duel success), heavily involved in play (65 touches/90) and top 10% tackler in the league.
  • Cyril Mandouki(84% match)Cyril Mandouki is a Ball-Winner. Aggressive midfielder who disrupts opponents. Statistically, he stands out as an aggressive ball-winner (3.5 tackles/90), meticulous in distribution (86% pass accuracy), wins the physical battle (58% duel success), heavily involved in play (60 touches/90) and top 10% tackler in the league.
  • Kaan Caliskaner(84% match)Kaan Caliskaner is a Ball-Winner. Aggressive midfielder who disrupts opponents. Statistically, he stands out as an elite creator (2.0 key passes/90), a reliable supplier (0.22 assists/90), active in the tackle (2.2 tackles/90), creates high-quality scoring opportunities (1.08 big chances/90) and top 20% creator in the league.

Transfer Intelligence

İsmail Yüksek delivers 84% of the same playing style, at a 4233% premium over Ilja Zhigulev, with 0.81 key passes per 90 at age 27.

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

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Comparison Base
Ilja Zhigulev
MidfielderRussia€300K
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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 Ilja Zhigulev.

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Frequently Asked Questions

Who are the best alternatives to Ilja Zhigulev?
The top alternatives to Ilja Zhigulev based on AI DNA playing style analysis include: İsmail Yüksek, Cyril Mandouki, Kaan Caliskaner, Samed Onur, Onur Ergün. 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 Ilja Zhigulev in 2026?
Players with a similar profile to Ilja Zhigulev in 2026 include İsmail Yüksek (€13.0M), Cyril Mandouki (N/A), Kaan Caliskaner (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Ilja Zhigulev play and who plays similarly?
Ilja Zhigulev plays as a Midfielder. Players with a comparable positional profile include İsmail Yüksek (Turkey, €13.0M); Cyril Mandouki (Martinique, N/A); Kaan Caliskaner (Germany, N/A); Samed Onur (Turkey, 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.