Best Alternatives to Emre Gedik
Players most similar to Emre Gedik (Defender, €50K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Emre Gedik
- 1.Furkan Orak98% DNA match·Rizespor
- 2.Magnus Fredslund97% DNA match·Hvidovre
- 3.T. Klysner96% DNA match·Sønderjyske Fodbold
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Intelligence Verdict
“A Reading Defender....”
See Full Verdict + Share Card →Playing Style Analysis
A Reading Defender. Statistically, he stands out as an elite creator (1.7 key passes/90), active in the tackle (2.1 tackles/90), wins the physical battle (61% duel success) and creates high-quality scoring opportunities (0.69 big chances/90). The three most similar players to Emre Gedik by playing style are:
- Furkan Orak(98% match) — A Reading Defender. Statistically, he stands out as an elite creator (1.7 key passes/90), a prolific assist provider (0.25 assists/90), creates high-quality scoring opportunities (0.54 big chances/90) and uses long balls frequently (6.5/90).
- Magnus Fredslund(97% match) — A Reading Defender. Statistically, he stands out as an elite creator (1.5 key passes/90), an aggressive ball-winner (3.0 tackles/90), penetrates with forward passing (9.3 final-third passes/90), wins the ball cleanly (2.1 successful tackles/90), central to possession (80 touches/90), uses long balls frequently (9.2/90), active off the ball (2.8 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 828 minutes of playing time this season.
- T. Klysner(96% match) — A Reading Defender. Statistically, he stands out as a prolific assist provider (0.28 assists/90), active in the tackle (2.0 tackles/90), reads the game exceptionally (1.5 interceptions/90) and active off the ball (2.5 press score/90), contributing to defensive transitions. Note: this profile is based on 642 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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