Best Alternatives to Tobias Mölgaard
Players most similar to Tobias Mölgaard (Defender, €400K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Ball-Playing CB. Statistically, he stands out as an aggressive ball-winner (2.8 tackles/90), meticulous in distribution (86% pass accuracy), wins the physical battle (57% duel success), wins the ball cleanly (1.8 successful tackles/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 10% tackler in the league. The three most similar players to Tobias Mölgaard by playing style are:
- W. Glindtvad(99% match) — A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.2 tackles/90), commanding in the air (5.7 clearances/90), meticulous in distribution (85% pass accuracy), wins the physical battle (65% duel success), central to possession (72 touches/90), uses long balls frequently (6.4/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 10% tackler in the league.
- Yaya Bojang(99% match) — A Ball-Playing CB. Statistically, he stands out as an aggressive ball-winner (4.0 tackles/90), commanding in the air (4.9 clearances/90), reads the game exceptionally (2.1 interceptions/90), meticulous in distribution (87% pass accuracy), wins the physical battle (57% duel success), heavily involved in possession (66 passes/90), wins the ball cleanly (2.4 successful tackles/90), central to possession (87 touches/90), uses long balls frequently (7.9/90), a high-intensity presser (press score 3.4/90), constantly disrupting opposition build-up and top 10% tackler in the league.
- M. Soulas(99% match) — A Ball-Playing CB. Statistically, he stands out as active in the tackle (1.8 tackles/90), commanding in the air (6.7 clearances/90), meticulous in distribution (87% pass accuracy), wins the physical battle (64% duel success), uses long balls frequently (7.1/90) and active off the ball (2.3 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 →
Similar Players — Ranked by DNA Similarity
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