Best Alternatives to Mohamed Mahmoud

Top 3 Alternatives to Mohamed Mahmoud

1. 1.Yasin Ayari86% DNA match·Brighton & Hove Albion€30.0M
2. 2.Mike Tresor85% DNA match·Burnley€3.0M
3. 3.Florian Wirtz83% DNA match·Liverpool€110.0M

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

Playing Style Analysis

Mahmoud operates as a high-volume disruptor trapped in the body of a goal-hungry playmaker, a statistical anomaly for a Tier C Premier League outfit. While his 69.1% pass accuracy suggests a lack of refinement, the context reveals a player constantly hunting for the killer ball, evidenced by an above-average 1.67 key passes per 90 and a shot volume that rivals elite forwards. The counterintuitive reality is that despite his lethargic pressing intensity—languishing in the bottom half of the league—he remains an elite defensive presence by positioning alone, ranking in the top 5% for interceptions. The three most similar players to Mohamed Mahmoud by playing style are:

• Yasin Ayari(86% match) — A Box-to-Box. Statistically, he stands out as active in the tackle (2.2 tackles/90), meticulous in distribution (86% pass accuracy), heavily involved in play (62 touches/90) and a high-intensity presser (press score 3.0/90), constantly disrupting opposition build-up.
• Mike Tresor(85% match) — A Creator. Statistically, he stands out as an elite creator (3.0 key passes/90), a regular goalscorer (0.22 goals/90), a prolific assist provider (0.65 assists/90), creates high-quality scoring opportunities (0.60 big chances/90) and top 10% creator in the league.
• Florian Wirtz(83% match) — A Creator. Statistically, he stands out as an elite creator (2.3 key passes/90), central to possession (70 touches/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 10% creator in the league. However, he loses possession under pressure (1.5 dispossessed/90).

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