Best Alternatives to Rasmus Kristensen

Top 3 Alternatives to Rasmus Kristensen

1. 1.Thomas Kristensen90% DNA match·Udinese€12.0M
2. 2.David Raum87% DNA match·RB Leipzig€22.0M
3. 3.Kristoffer Lund88% DNA match·FC Köln€4.0M

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

Playing Style Analysis

A Active Full-Back. Statistically, he stands out as active in the tackle (2.5 tackles/90), commanding in the air (4.4 clearances/90), reads the game exceptionally (1.5 interceptions/90), wins the physical battle (55% duel success), penetrates with forward passing (9.0 final-third passes/90), central to possession (80 touches/90), uses long balls frequently (5.7/90), 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 761 minutes of playing time this season. The three most similar players to Rasmus Kristensen by playing style are:

• Thomas Kristensen(90% match) — A Physical Stopper. Statistically, he stands out as commanding in the air (5.8 clearances/90) and wins the physical battle (57% duel success).
• David Raum(87% match) — A Active Full-Back. Statistically, he stands out as naturally left-footed, an elite creator (2.4 key passes/90), a prolific assist provider (0.34 assists/90), active in the tackle (2.0 tackles/90), heavily involved in possession (64 passes/90), creates high-quality scoring opportunities (0.68 big chances/90), penetrates with forward passing (9.4 final-third passes/90), central to possession (95 touches/90), uses long balls frequently (5.8/90) and active off the ball (2.7 press score/90), contributing to defensive transitions. Note: this profile is based on 527 minutes of playing time this season.
• Kristoffer Lund(88% match) — A Active Full-Back. Statistically, he stands out as naturally left-footed, commanding in the air (4.2 clearances/90) and active off the ball (2.0 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 →