Best Alternatives to Salih Özcan

Top 3 Alternatives to Salih Özcan

1. 1.Pascal Groß85% DNA match·Brighton & Hove Albion€3.5M
2. 2.Kaishu Sano84% DNA match·Japan€25.0M
3. 3.Niklas Dorsch85% DNA match·Heidenheim€3.0M

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

Playing Style Analysis

Özcan is a metronomic disruptor whose high-volume passing and elite defensive anticipation make him the structural glue for a mid-table side. While his 79.2% pass accuracy appears merely average, it is a byproduct of his relentless involvement; ranking in the top 5% for passes per 90 (57.9) suggests he is the primary valve through whom the game flows, rather than a passenger. His true value lies in his spatial intelligence, evidenced by a staggering 2.78 interceptions per 90—putting him in the league’s elite tier for reading play. The three most similar players to Salih Özcan by playing style are:

• Pascal Groß(85% match) — A Metronome. Statistically, he stands out as an elite creator (1.6 key passes/90), a reliable supplier (0.15 assists/90), meticulous in distribution (87% pass accuracy), heavily involved in possession (68 passes/90), penetrates with forward passing (9.4 final-third passes/90), central to possession (84 touches/90) and active off the ball (2.0 press score/90), contributing to defensive transitions. Note: this profile is based on 615 minutes of playing time this season.
• Kaishu Sano(84% match) — A Box-to-Box. Statistically, he stands out as reads the game exceptionally (2.4 interceptions/90), wins the physical battle (64% duel success), heavily involved in play (56 touches/90) and a high-intensity presser (press score 3.6/90), constantly disrupting opposition build-up.
• Niklas Dorsch(85% match) — A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (2.9 tackles/90), meticulous in distribution (87% pass accuracy), wins the physical battle (60% duel success), heavily involved in play (50 touches/90), active off the ball (2.9 press score/90), contributing to defensive transitions and top 10% tackler in the league.

Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →