Best Alternatives to Salih Özcan

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 closest DNA matches to Salih Özcan:

• Niklas Dorsch(85% match) — A Box-to-Box. Statistically, he stands out as active in the tackle (2.4 tackles/90), meticulous in distribution (89% pass accuracy), wins the physical battle (61% duel success), heavily involved in play (53 touches/90) and active off the ball (2.8 press score/90), contributing to defensive transitions.
• Aleksandar Pavlovic(80% match) — A Metronome. Statistically, he stands out as comfortable with both feet, a capable chance creator (1.3 key passes/90), meticulous in distribution (94% pass accuracy), heavily involved in possession (98 passes/90), penetrates with forward passing (11.5 final-third passes/90), central to possession (111 touches/90), switches play with precision (5.6 long balls/90, 80% accuracy) and active off the ball (2.5 press score/90), contributing to defensive transitions.
• Angelo Stiller(80% match) — A Metronome. Statistically, he stands out as an elite creator (1.9 key passes/90), a reliable supplier (0.20 assists/90), meticulous in distribution (88% pass accuracy), wins the physical battle (58% duel success), heavily involved in possession (76 passes/90), penetrates with forward passing (10.9 final-third passes/90), central to possession (92 touches/90), uses long balls frequently (5.6/90), active off the ball (2.7 press score/90), contributing to defensive transitions and top 20% creator in the league.

Similarity uses per-90 performance across playing-style dimensions. How Player DNA matching works →