Best Alternatives to Aziz Behich

Top 3 Alternatives to Aziz Behich

1. 1.Adam Marusic82% DNA match·Lazio€3.0M
2. 2.Souffian El Karouani81% DNA match·FC Utrecht
3. 3.Mitchell Weiser80% DNA match·Werder Bremen€3.5M

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

Playing Style Analysis

Behich remains the A-League’s premier progressive engine, a veteran fullback who functions more like a supplementary playmaker than a traditional wide defender. While his 81.6% pass accuracy suggests a safe distributor, the reality is far more aggressive; he ranks in the top 5% for passes into the final third (8.24/90), proving he is the primary valve for breaking defensive blocks. Most fullbacks at his age transition into conservative "holders," yet Behich has inverted this curve, posting elite dribbling and shooting volume that rivals most wingers in the competition. The three most similar players to Aziz Behich by playing style are:

• Adam Marusic(82% match) — A Active Full-Back. Statistically, he stands out as meticulous in distribution (87% pass accuracy) and wins the physical battle (56% duel success).
• Souffian El Karouani(81% match) — A Active Full-Back. Statistically, he stands out as an elite creator (3.1 key passes/90), a prolific assist provider (0.36 assists/90), an aggressive ball-winner (2.9 tackles/90), creates high-quality scoring opportunities (0.56 big chances/90), delivers dangerous crosses (3.3 accurate crosses/90), wins the ball cleanly (1.8 successful tackles/90), central to possession (71 touches/90), uses long balls frequently (5.5/90) and active off the ball (2.7 press score/90), contributing to defensive transitions.
• Mitchell Weiser(80% match) — A Active Full-Back. Statistically, he stands out as a capable chance creator (1.3 key passes/90), a prolific assist provider (0.28 assists/90), active in the tackle (2.0 tackles/90) and creates high-quality scoring opportunities (0.75 big chances/90).

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