Best Alternatives to Mahamé Siby

Top 3 Alternatives to Mahamé Siby

1. 1.André Gomes83% DNA match·LOSC Lille€4.5M
2. 2.Karim Dermane83% DNA match·Lorient€3.0M
3. 3.Bilal Nadir83% DNA match·Olympique Marseille€9.0M

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

Playing Style Analysis

Siby operates as a rhythmic facilitator caught in the purgatory of partial data, serving as a high-volume outlet for a Tier C side in the Coupe de France. While his 43.2 passes per 90 put him in the upper echelon of the league’s distributors, he isn't merely recycling possession; his assist rate sits in the top 20%, suggesting a level of creative efficiency that belies his "average" key pass metrics. The counterintuitive reality here is that despite his physical profile, Siby is a technician rather than a destroyer; his press intensity is worryingly low, and he struggles significantly in ground duels. The three most similar players to Mahamé Siby by playing style are:

• André Gomes(83% match) — A Metronome. Statistically, he stands out as active in the tackle (1.8 tackles/90), meticulous in distribution (90% pass accuracy), heavily involved in possession (67 passes/90), creates high-quality scoring opportunities (0.56 big chances/90) and central to possession (80 touches/90).
• Karim Dermane(83% match) — A Creator. Statistically, he stands out as a reliable supplier (0.15 assists/90), heavily involved in play (52 touches/90), draws fouls effectively (2.6/90) and active off the ball (2.9 press score/90), contributing to defensive transitions. However, he loses possession under pressure (1.7 dispossessed/90).
• Bilal Nadir(83% match) — A Metronome. Statistically, he stands out as naturally left-footed, an elite creator (1.9 key passes/90), a prolific assist provider (0.70 assists/90), active in the tackle (2.5 tackles/90), meticulous in distribution (90% pass accuracy), creates high-quality scoring opportunities (0.53 big chances/90), central to possession (73 touches/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 10% creator in the league. However, he prone to committing fouls (3.9/90).

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