Best Alternatives to Oskar Boesen
Players most similar to Oskar Boesen (Midfielder, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Oskar Boesen
- 1.Jeppe Andersen91% DNA match·Silkeborg IF
- 2.Julius Lorents90% DNA match·Silkeborg IF
- 3.Seko Fofana87% DNA match·Porto€8.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Intelligence Verdict
“Oskar Boesen is a Metronome....”
See Full Verdict + Share Card →Playing Style Analysis
Oskar Boesen is a Metronome. Possession anchor who dictates tempo. Statistically, he stands out as a capable chance creator (1.2 key passes/90), a prolific assist provider (0.25 assists/90), active in the tackle (2.2 tackles/90), meticulous in distribution (90% pass accuracy), heavily involved in possession (77 passes/90) and central to possession (93 touches/90). (Limited sample: 365 mins) The three most similar players to Oskar Boesen by playing style are:
- Jeppe Andersen(91% match) — Jeppe Andersen is a Metronome. Possession anchor who dictates tempo. Statistically, he stands out as meticulous in distribution (92% pass accuracy), heavily involved in possession (74 passes/90), penetrates with forward passing (8.5 final-third passes/90) and central to possession (84 touches/90).
- Julius Lorents(90% match) — A Box-to-Box. Statistically, he stands out as active in the tackle (2.1 tackles/90), meticulous in distribution (87% pass accuracy) and central to possession (70 touches/90). Note: this profile is based on 819 minutes of playing time this season.
- Seko Fofana(87% match) — A Metronome. Statistically, he stands out as a capable chance creator (1.4 key passes/90), a constant goal threat (2.6 shots/90), meticulous in distribution (91% pass accuracy), central to possession (72 touches/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. Note: this profile is based on 845 minutes of playing time this season.
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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