Best Alternatives to Miro Muheim
Players most similar to Miro Muheim (Defender, €4.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Miro Muheim
- 1.Kristoffer Lund85% DNA match·FC Köln€4.0M
- 2.Abdul Mumin85% DNA match·Rayo Vallecano€4.0M
- 3.William Mikelbrencis85% DNA match·Hamburger SV€3.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Intelligence Verdict
“A Active Full-Back....”
See Full Verdict + Share Card →Playing Style Analysis
A Active Full-Back. Statistically, he stands out as naturally left-footed, an elite creator (1.9 key passes/90), a prolific assist provider (0.47 assists/90), active in the tackle (2.2 tackles/90), reads the game exceptionally (1.9 interceptions/90), wins the physical battle (64% duel success), penetrates with forward passing (11.8 final-third passes/90), central to possession (78 touches/90), uses long balls frequently (7.6/90) and active off the ball (3.0 press score/90), contributing to defensive transitions. Note: this profile is based on 571 minutes of playing time this season. The three most similar players to Miro Muheim by playing style are:
- Kristoffer Lund(85% 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.
- Abdul Mumin(85% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.4 clearances/90), wins the physical battle (57% duel success) and uses long balls frequently (7.1/90).
- William Mikelbrencis(85% match) — A Active Full-Back. Statistically, he stands out as a capable chance creator (1.0 key passes/90), a reliable supplier (0.15 assists/90), active in the tackle (2.2 tackles/90) and active off the ball (2.1 press score/90), contributing to defensive transitions.
Transfer Intelligence
Kristoffer Lund delivers 85% of the same playing style, with 1.27 tackles won per 90 at age 23.
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
Similar Players — Ranked by DNA Similarity
Ask AI: Why are these players similar?
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