Best Alternatives to Rasmus Carstensen

Top 3 Alternatives to Rasmus Carstensen

1. 1.M. Madsen88% DNA match·FC København€4.0M
2. 2.Jens Castrop86% DNA match·Borussia Mönchengladbach€6.0M
3. 3.Mathias Jensen86% 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 Ball-Winner. Statistically, he stands out as a regular goalscorer (0.33 goals/90), an aggressive ball-winner (3.1 tackles/90), wins the ball cleanly (2.1 successful tackles/90), heavily involved in play (69 touches/90) and active off the ball (3.0 press score/90), contributing to defensive transitions. However, he loses possession under pressure (1.5 dispossessed/90). The three most similar players to Rasmus Carstensen by playing style are:

• M. Madsen(88% match) — A Creator. Statistically, he stands out as an elite creator (1.5 key passes/90), a regular goalscorer (0.20 goals/90), an aggressive ball-winner (3.3 tackles/90), heavily involved in play (67 touches/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% tackler in the league.
• Jens Castrop(86% match) — A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (4.7 tackles/90), wins the ball cleanly (2.2 successful tackles/90), heavily involved in play (52 touches/90), a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up and top 10% tackler in the league. Note: this profile is based on 523 minutes of playing time this season.
• Mathias Jensen(86% 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 →