Best Alternatives to Muhammed Cham
Players most similar to Muhammed Cham (Midfielder, €600K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Creator in Chance Liga. Statistically, he stands out as an elite creator (2.5 key passes/90), a regular goalscorer (0.29 goals/90), a prolific assist provider (0.58 assists/90), meticulous in distribution (88% pass accuracy), creates high-quality scoring opportunities (1.28 big chances/90), heavily involved in play (69 touches/90), draws fouls effectively (2.3/90) and top 10% creator in the league. The three most similar players to Muhammed Cham by playing style are:
- Dominik Janosek(97% match) — A Creator in Chance Liga. Statistically, he stands out as an elite creator (2.0 key passes/90), a constant goal threat (2.8 shots/90), a prolific assist provider (0.31 assists/90), creates high-quality scoring opportunities (1.25 big chances/90), central to possession (74 touches/90), uses long balls frequently (7.0/90) and top 20% creator in the league.
- Isco(94% match) — A Creator in La Liga. Statistically, he stands out as an elite creator (3.5 key passes/90), a constant goal threat (2.5 shots/90), a proven goalscorer (0.52 goals/90), a prolific assist provider (0.46 assists/90), meticulous in distribution (86% pass accuracy), heavily involved in possession (62 passes/90), creates high-quality scoring opportunities (1.05 big chances/90), penetrates with forward passing (8.8 final-third passes/90), central to possession (87 touches/90), draws fouls effectively (2.5/90), switches play with precision (5.5 long balls/90, 72% accuracy) and top 10% creator in the league.
- Romano Schmid(94% match) — A Creator in Bundesliga. Statistically, he stands out as an elite creator (2.6 key passes/90), a prolific assist provider (0.26 assists/90), creates high-quality scoring opportunities (0.60 big chances/90), heavily involved in play (64 touches/90), active off the ball (2.3 press score/90), contributing to defensive transitions and top 10% creator in the league.
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
Similar Players — Ranked by DNA Similarity
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