Best Alternatives to Morten Hjulmand

Top 3 Alternatives to Morten Hjulmand

1. 1.Mathias Jensen87% DNA match·Brøndby IF€12.0M
2. 2.Afonso Assis Cunha Almeida86% DNA match·Moreirense€9.0M
3. 3.Victor Froholdt86% DNA match·Porto€30.0M

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

Playing Style Analysis

Hjulmand is the kind of midfielder who wins football matches without ever appearing on a highlight reel—a defensive engine wrapped inside a genuine ball-progressor. Operating in Liga Portugal, he ranks in the top 5% for both duel win rate and press intensity, which tells you something important: this isn't selective aggression, it's sustained, systemic dominance across ninety minutes. His 89% pass accuracy and 8.11 progressive passes per ninety further expose the counterintuitive truth—the man built like a destroyer actually drives play forward more consistently than most creative midfielders in the division. The three most similar players to Morten Hjulmand by playing style are:

• Mathias Jensen(87% 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).
• Afonso Assis Cunha Almeida(86% match) — A Box-to-Box. Statistically, he stands out as reads the game exceptionally (1.7 interceptions/90), heavily involved in play (66 touches/90) and active off the ball (2.9 press score/90), contributing to defensive transitions. Note: this profile is based on 704 minutes of playing time this season.
• Victor Froholdt(86% match) — A Balanced Midfielder. Statistically, he stands out as a reliable supplier (0.23 assists/90), meticulous in distribution (86% pass accuracy) and active off the ball (2.2 press score/90), contributing to defensive transitions.

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