Best Alternatives to Achraf Hakimi

Top 3 Alternatives to Achraf Hakimi

1. 1.Fabiano Parisi85% DNA match·Fiorentina€4.5M
2. 2.Emerson84% DNA match·Olympique Marseille€15.4M
3. 3.Tiago Santos84% DNA match·LOSC Lille€12.0M

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

Playing Style Analysis

A Active Full-Back. Statistically, he stands out as a capable chance creator (1.1 key passes/90), meticulous in distribution (92% pass accuracy), heavily involved in possession (88 passes/90), central to possession (111 touches/90) and active off the ball (2.4 press score/90), contributing to defensive transitions. Note: this profile is based on 549 minutes of playing time this season. The three most similar players to Achraf Hakimi by playing style are:

• Fabiano Parisi(85% match) — Parisi is a modern fullback who defends like a terrier and attacks like a winger. While his 82.8% pass accuracy is merely above average for Serie A fullbacks, the real story is in his progressive play; he ranks in the top 10% for key passes per 90 (1.33) and above average for passes into the final third (4.81). He's not just passing sideways, he's unlocking defenses.
• Emerson(84% match) — A Active Full-Back. Statistically, he stands out as naturally left-footed, an elite creator (2.0 key passes/90), a prolific assist provider (0.33 assists/90), an aggressive ball-winner (2.6 tackles/90), meticulous in distribution (88% pass accuracy), wins the physical battle (71% duel success), creates high-quality scoring opportunities (0.50 big chances/90), wins the ball cleanly (1.8 successful tackles/90), central to possession (73 touches/90) and active off the ball (2.0 press score/90), contributing to defensive transitions. Note: this profile is based on 544 minutes of playing time this season.
• Tiago Santos(84% match) — A Solid Defender. Statistically, he stands out as draws fouls effectively (2.5/90). Note: this profile is based on 614 minutes of playing time this season.

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