Best Alternatives to Rayan Cherki

Top 3 Alternatives to Rayan Cherki

1. 1.Florian Wirtz87% DNA match·Liverpool€110.0M
2. 2.Martin Ødegaard87% DNA match·Arsenal€65.0M
3. 3.Justin Kluivert86% DNA match·AFC Bournemouth€32.0M

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

Playing Style Analysis

A Creator. Statistically, he stands out as comfortable with both feet, an elite creator (3.2 key passes/90), a constant goal threat (2.8 shots/90), a regular goalscorer (0.21 goals/90), a prolific assist provider (0.58 assists/90), a dynamic dribbler (2.5/90), meticulous in distribution (86% pass accuracy), heavily involved in possession (65 passes/90), creates high-quality scoring opportunities (0.84 big chances/90), central to possession (89 touches/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 10% creator in the league. However, he loses possession under pressure (1.8 dispossessed/90). The three most similar players to Rayan Cherki by playing style are:

• Florian Wirtz(87% 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).
• Martin Ødegaard(87% match) — A Creator. Statistically, he stands out as naturally left-footed, an elite creator (2.7 key passes/90), a prolific assist provider (0.42 assists/90), heavily involved in play (64 touches/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 10% creator in the league.
• Justin Kluivert(86% match) — A Creator. Statistically, he stands out as comfortable with both feet, an elite creator (2.0 key passes/90), a regular goalscorer (0.20 goals/90), active off the ball (2.0 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 →