Best Alternatives to Frederik Winther
Players most similar to Frederik Winther (Defender, €1.3M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Frederik Winther
- 1.Malte Kiilerich89% DNA match·Hvidovre
- 2.Emil Christensen90% DNA match·B 93
- 3.Mads Bech Sørensen89% DNA match·FC Midtjylland
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Intelligence Verdict
“Frederik Winther is a Ball-Playing CB....”
See Full Verdict + Share Card →Playing Style Analysis
Frederik Winther is a Ball-Playing CB. Progressive defender comfortable on the ball. Statistically, he stands out as commanding in the air (5.3 clearances/90), reads the game exceptionally (1.6 interceptions/90), central to possession (78 touches/90) and uses long balls frequently (6.1/90). The three most similar players to Frederik Winther by playing style are:
- Malte Kiilerich(89% match) — Malte Kiilerich is a Ball-Playing CB. Progressive defender comfortable on the ball. Statistically, he stands out as active in the tackle (2.2 tackles/90), commanding in the air (4.7 clearances/90), reads the game exceptionally (1.9 interceptions/90) and wins the physical battle (58% duel success).
- Emil Christensen(90% match) — A Ball-Playing CB. Statistically, he stands out as a regular goalscorer (0.21 goals/90), commanding in the air (6.7 clearances/90), meticulous in distribution (87% pass accuracy), wins the physical battle (70% duel success), dominant in the air (3.9 aerials won/90, 82%) and uses long balls frequently (5.1/90). Note: this profile is based on 861 minutes of playing time this season.
- Mads Bech Sørensen(89% match) — Mads Bech Sørensen is a Ball-Playing CB. Progressive defender comfortable on the ball. Statistically, he stands out as commanding in the air (4.8 clearances/90), meticulous in distribution (88% pass accuracy), wins the physical battle (69% duel success), central to possession (72 touches/90) and uses long balls frequently (7.9/90).
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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