Best Alternatives to Daniel Høegh
Players most similar to Daniel Høegh (Defender, €100K) — 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 commanding in the air (6.5 clearances/90), meticulous in distribution (87% pass accuracy), wins the physical battle (69% duel success), heavily involved in possession (67 passes/90), central to possession (82 touches/90), dominant in the air (3.5 aerials won/90, 70%), uses long balls frequently (7.0/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. The three most similar players to Daniel Høegh by playing style are:
- Nemanja Nedić(100% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (6.5 clearances/90), meticulous in distribution (88% pass accuracy), wins the physical battle (66% duel success), heavily involved in possession (61 passes/90), central to possession (78 touches/90), dominant in the air (3.6 aerials won/90, 74%), uses long balls frequently (5.4/90) and active off the ball (2.2 press score/90), contributing to defensive transitions.
- Joachim Andersen(100% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (7.4 clearances/90), meticulous in distribution (86% pass accuracy), wins the physical battle (61% duel success), heavily involved in possession (73 passes/90), penetrates with forward passing (10.4 final-third passes/90), central to possession (88 touches/90), uses long balls frequently (11.7/90) and active off the ball (2.0 press score/90), contributing to defensive transitions.
- Joris Kramer(100% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (7.0 clearances/90), meticulous in distribution (88% pass accuracy), wins the physical battle (57% duel success), heavily involved in possession (64 passes/90), central to possession (79 touches/90), uses long balls frequently (8.0/90) and active off the ball (2.1 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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