Best Alternatives to Jakob Jessen

Top 3 Alternatives to Jakob Jessen

1. 1.Mimeirhel Benita98% DNA match·Heracles Almelo
2. 2.Tom Sas98% DNA match·Kozakken Boys
3. 3.Lasse Flø97% DNA match·Vejle Boldklub

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

Playing Style Analysis

A Physical Stopper. Statistically, he stands out as a capable chance creator (1.0 key passes/90), a reliable supplier (0.15 assists/90), an aggressive ball-winner (3.2 tackles/90), reads the game exceptionally (1.6 interceptions/90), wins the physical battle (59% duel success), wins the ball cleanly (2.1 successful tackles/90), a high-intensity presser (press score 3.0/90), constantly disrupting opposition build-up and top 10% tackler in the league. The three most similar players to Jakob Jessen by playing style are:

• Mimeirhel Benita(98% match) — A Physical Stopper. Statistically, he stands out as an aggressive ball-winner (2.6 tackles/90), wins the physical battle (60% duel success), wins the ball cleanly (1.9 successful tackles/90), uses long balls frequently (5.0/90) and active off the ball (2.9 press score/90), contributing to defensive transitions.
• Tom Sas(98% match) — A Physical Stopper. Statistically, he stands out as a reliable supplier (0.16 assists/90), an aggressive ball-winner (3.1 tackles/90), reads the game exceptionally (2.0 interceptions/90), wins the physical battle (60% duel success) and top 10% tackler in the league. Note: this profile is based on 578 minutes of playing time this season.
• Lasse Flø(97% match) — A Physical Stopper. Statistically, he stands out as a capable chance creator (1.4 key passes/90), an aggressive ball-winner (3.0 tackles/90), wins the physical battle (62% duel success), wins the ball cleanly (2.1 successful tackles/90), central to possession (70 touches/90), uses long balls frequently (5.0/90), a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up and top 10% tackler in the league.

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