Best Alternatives to Gökhan Sazdağı

Top 3 Alternatives to Gökhan Sazdağı

1. 1.Ümit Akdağ90% DNA match·Alanyaspor€4.0M
2. 2.Roland Sallai85% DNA match·Galatasaray€12.0M
3. 3.Abdülkerim Bardakcı85% DNA match·Galatasaray€6.5M

Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.

Playing Style Analysis

A Active Full-Back. Statistically, he stands out as a capable chance creator (1.1 key passes/90), active in the tackle (2.5 tackles/90), wins the physical battle (56% duel success), uses long balls frequently (5.9/90), a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up and top 10% tackler in the league. The three most similar players to Gökhan Sazdağı by playing style are:

• Ümit Akdağ(90% match) — A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (5.1 clearances/90), wins the physical battle (56% duel success), uses long balls frequently (6.8/90) and active off the ball (2.2 press score/90), contributing to defensive transitions.
• Roland Sallai(85% match) — Sallai is the rare defensive profile who makes opposing coaches nervous not because of what he stops, but because of what he starts. Playing in the Super Lig for a mid-tier side, he ranks in the top 10% for key passes among defenders—a number that quietly reframes his role entirely. His aerial dominance is genuine and elite, landing in the top 5% of the league, and his shot volume per 90 matches that same tier, suggesting a player who treats set-piece situations as offensive opportunities rather than survival exercises.
• Abdülkerim Bardakcı(85% match) — A Ball-Playing CB. Statistically, he stands out as naturally left-footed, meticulous in distribution (90% pass accuracy), wins the physical battle (61% duel success), heavily involved in possession (65 passes/90), central to possession (77 touches/90), uses long balls frequently (5.8/90) 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 →