Best Alternatives to Vitaly Janelt

Top 3 Alternatives to Vitaly Janelt

1. 1.Mikkel Damsgaard87% DNA match·Brentford€30.0M
2. 2.Mathias Jensen86% DNA match·Brentford€12.0M
3. 3.Mathias Jensen85% DNA match·Brøndby IF€12.0M

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

Playing Style Analysis

A Box-to-Box. Statistically, he stands out as naturally left-footed, a capable chance creator (1.4 key passes/90), a prolific assist provider (0.28 assists/90), reads the game exceptionally (2.0 interceptions/90), meticulous in distribution (86% pass accuracy), heavily involved in play (69 touches/90), uses long balls frequently (5.9/90) and a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up. The three most similar players to Vitaly Janelt by playing style are:

• Mikkel Damsgaard(87% match) — A Creator. Statistically, he stands out as an elite creator (1.7 key passes/90), a reliable supplier (0.18 assists/90), an aggressive ball-winner (2.6 tackles/90), creates high-quality scoring opportunities (0.55 big chances/90), heavily involved in play (61 touches/90), a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up and top 20% creator in the league.
• Mathias Jensen(86% match) — A Creator. Statistically, he stands out as a capable chance creator (1.4 key passes/90), penetrates with forward passing (9.1 final-third passes/90), heavily involved in play (65 touches/90), uses long balls frequently (7.2/90) and active off the ball (2.4 press score/90), contributing to defensive transitions.
• Mathias Jensen(85% match) — A Creator. Statistically, he stands out as an elite creator (1.6 key passes/90), an aggressive ball-winner (3.2 tackles/90), reads the game exceptionally (2.5 interceptions/90), penetrates with forward passing (8.8 final-third passes/90), heavily involved in play (66 touches/90), a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up and top 20% creator in the league. However, he prone to committing fouls (2.8/90).

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