Best Alternatives to Oussama El Azzouzi

Top 3 Alternatives to Oussama El Azzouzi

1. 1.Ramiz Zerrouki87% DNA match·FC Twente€7.2M
2. 2.Neil El Aynaoui86% DNA match·Roma€20.0M
3. 3.Youssef Aït Bennasser85% DNA match·Kayserispor€3.0M

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

Playing Style Analysis

A Box-to-Box. Statistically, he stands out as a capable chance creator (1.0 key passes/90), active in the tackle (2.1 tackles/90), reads the game exceptionally (1.9 interceptions/90), meticulous in distribution (91% pass accuracy), wins the ball cleanly (1.9 successful tackles/90), heavily involved in play (57 touches/90) and active off the ball (2.9 press score/90), contributing to defensive transitions. Note: this profile is based on 814 minutes of playing time this season. The three most similar players to Oussama El Azzouzi by playing style are:

• Ramiz Zerrouki(87% match) — A Metronome. Statistically, he stands out as an elite creator (1.6 key passes/90), active in the tackle (2.3 tackles/90), penetrates with forward passing (11.6 final-third passes/90), central to possession (73 touches/90), switches play with precision (7.7 long balls/90, 63% accuracy) and active off the ball (2.8 press score/90), contributing to defensive transitions.
• Neil El Aynaoui(86% match) — El Aynaoui is the kind of midfielder Serie A clubs build defensive structures around without the wider world quite noticing yet. Operating in one of Europe's most tactically demanding leagues, his interception rate places him in the top 5% among midfielders—meaning he's not just pressing hard, he's pressing intelligently, anticipating rather than reacting. That press intensity, also top 10% in the league, compounds the picture: this is a player who suffocates opponents through positional discipline, not raw aggression.
• Youssef Aït Bennasser(85% match) — A Ball-Winner. Statistically, he stands out as meticulous in distribution (88% pass accuracy), heavily involved in play (55 touches/90), uses long balls frequently (5.7/90) and active off the ball (2.4 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 →