Best Alternatives to Simon Bækgård
Players most similar to Simon Bækgård (Midfielder, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Simon Bækgård
- 1.Magnus Saaby99% DNA match·Kolding IF
- 2.Frederik Grube99% DNA match·Aarhus Fremad
- 3.Mark Brink98% DNA match·Nordsjælland
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Intelligence Verdict
“A Metronome....”
See Full Verdict + Share Card →Playing Style Analysis
A Metronome. Statistically, he stands out as meticulous in distribution (87% pass accuracy), wins the physical battle (55% duel success), heavily involved in possession (63 passes/90), penetrates with forward passing (8.3 final-third passes/90), central to possession (78 touches/90) and uses long balls frequently (6.5/90). The three most similar players to Simon Bækgård by playing style are:
- Magnus Saaby(99% match) — A Metronome. Statistically, he stands out as a capable chance creator (1.2 key passes/90), reads the game exceptionally (1.9 interceptions/90), meticulous in distribution (87% pass accuracy), heavily involved in possession (63 passes/90), penetrates with forward passing (9.2 final-third passes/90), central to possession (79 touches/90) and active off the ball (2.6 press score/90), contributing to defensive transitions.
- Frederik Grube(99% match) — A Metronome. Statistically, he stands out as meticulous in distribution (89% pass accuracy), heavily involved in possession (65 passes/90), penetrates with forward passing (8.3 final-third passes/90), central to possession (78 touches/90) and active off the ball (2.3 press score/90), contributing to defensive transitions.
- Mark Brink(98% match) — A Metronome. Statistically, he stands out as meticulous in distribution (91% pass accuracy), heavily involved in possession (72 passes/90), central to possession (81 touches/90) and active off the ball (2.4 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
Ask AI: Why are these players similar?
Our 768-dimension Player DNA model matches playing style, physical profile, pressing intensity, and tactical fit. Ask the AI to explain exactly what makes these players statistically similar to Simon Bækgård.
Ask AI about Simon Bækgård →