Best Alternatives to Kazımcan Karataş

Top 3 Alternatives to Kazımcan Karataş

1. 1.Mert Müldür86% DNA match·Fenerbahçe€5.0M
2. 2.Mustafa Eskihellaç85% DNA match·Trabzonspor€3.0M
3. 3.Samet Akaydin84% DNA match·Rizespor€3.7M

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 naturally left-footed, an elite creator (1.9 key passes/90), a prolific assist provider (0.30 assists/90), active in the tackle (2.1 tackles/90), uses long balls frequently (5.6/90) and active off the ball (3.0 press score/90), contributing to defensive transitions. Note: this profile is based on 609 minutes of playing time this season. The three most similar players to Kazımcan Karataş by playing style are:

• Mert Müldür(86% match) — Müldür occupies a fascinating tactical grey zone—a defender who consistently threatens the opposition goal more than he's troubled by his own. His tackles won rate sits in the top 5% of Super Lig defenders, meaning he's not just positioning well; he's actively winning the ball back at an elite frequency for this league. Pair that with top-20% key passes and shots per 90, and you have someone functioning more like an advanced wing-back than a conventional fullback.
• Mustafa Eskihellaç(85% match) — A Active Full-Back. Statistically, he stands out as a reliable supplier (0.16 assists/90), meticulous in distribution (87% pass accuracy), wins the physical battle (59% duel success), draws fouls effectively (2.3/90) and active off the ball (2.7 press score/90), contributing to defensive transitions.
• Samet Akaydin(84% match) — A Ball-Playing CB. Statistically, he stands out as active in the tackle (1.8 tackles/90), commanding in the air (6.8 clearances/90), reads the game exceptionally (2.2 interceptions/90), meticulous in distribution (87% pass accuracy), uses long balls frequently (6.7/90) and active off the ball (2.6 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 →