Best Alternatives to Amir Hadziahmetovic

Top 3 Alternatives to Amir Hadziahmetovic

1. 1.Luis Hasa85% DNA match·Napoli€3.0M
2. 2.Ramiz Zerrouki84% DNA match·FC Twente€7.2M
3. 3.Florent Hadergjonaj84% DNA match·Alanyaspor€5.0M

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

Playing Style Analysis

Hadziahmetovic is the Championship’s high-risk, high-reward volume engine, a player who sacrifices safety for the sake of verticality. While a 75.5% pass accuracy usually signals a technical deficit, the data tells a far more ambitious story: he is a progressive specialist who ranks in the league’s top 20% for passes into the final third (7.17/90). He isn't interested in sideways recycling; he is looking to break lines, evidenced by an assist rate that outperforms his average key pass output. The three most similar players to Amir Hadziahmetovic by playing style are:

• Luis Hasa(85% match) — A Box-to-Box. Statistically, he stands out as a capable chance creator (1.5 key passes/90), a regular goalscorer (0.20 goals/90), a reliable supplier (0.16 assists/90), meticulous in distribution (89% pass accuracy), heavily involved in play (61 touches/90), draws fouls effectively (2.7/90) and active off the ball (2.8 press score/90), contributing to defensive transitions.
• Ramiz Zerrouki(84% 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.
• Florent Hadergjonaj(84% match) — A Creator. Statistically, he stands out as an elite creator (1.8 key passes/90), a regular goalscorer (0.25 goals/90), a prolific assist provider (0.34 assists/90), wins the physical battle (60% duel success), penetrates with forward passing (8.4 final-third passes/90), heavily involved in play (65 touches/90) and uses long balls frequently (6.1/90).

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