Best Alternatives to Moussa Diaby

Top 3 Alternatives to Moussa Diaby

1. 1.Sofiane Diop86% DNA match·Nice€10.0M
2. 2.Anis Hadj Moussa85% DNA match·Feyenoord€20.0M
3. 3.Couhaib Driouech85% DNA match·PSV€6.0M

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

Playing Style Analysis

Diaby is the kind of wide attacker who makes a team tick without ever dominating the headlines himself. Operating in the Pro League, his 0.27 assists per 90 sits above average, but the more telling number is his 2.44 passes into the final third per 90—also above average—painting a picture of someone who consistently unlocks spaces rather than simply finishing moves. Here's the counterintuitive part: his 0.09 goals per 90 looks damning, yet his key pass and dribble rates both land in the top 30% of attackers in this league, suggesting his value is in creation, not conversion. The three most similar players to Moussa Diaby by playing style are:

• Sofiane Diop(86% match) — A Inside Forward. Statistically, he stands out as an elite creator (2.0 key passes/90), a proven goalscorer (0.66 goals/90), a prolific assist provider (0.33 assists/90), draws fouls effectively (2.6/90) and top 10% scorer in the league. Note: this profile is based on 549 minutes of playing time this season.
• Anis Hadj Moussa(85% match) — A Inside Forward. Statistically, he stands out as naturally left-footed, an elite creator (2.4 key passes/90), a constant goal threat (2.7 shots/90), a regular goalscorer (0.33 goals/90), a reliable supplier (0.22 assists/90), a dynamic dribbler (2.7/90) and creates high-quality scoring opportunities (0.58 big chances/90).
• Couhaib Driouech(85% match) — A Inside Forward. Statistically, he stands out as an elite creator (1.9 key passes/90), a constant goal threat (3.6 shots/90), a regular goalscorer (0.39 goals/90), a prolific assist provider (0.58 assists/90) and creates high-quality scoring opportunities (0.68 big chances/90).

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