Best Alternatives to Shoya Nakajima

Top 3 Alternatives to Shoya Nakajima

1. 1.Romano Schmid83% DNA match·Werder Bremen€17.0M
2. 2.Joel Chima Fujita83% DNA match·St. Pauli€8.0M
3. 3.Victor Froholdt82% DNA match·Porto€30.0M

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

Playing Style Analysis

Nakajima is the kind of midfielder who makes the final third feel smaller—a creative disruptor whose 3.25 key passes per 90 places him in the J-League's top 5% for chance creation, a figure that dwarfs the average playmaker in this division. His 6.84 passes into the final third per 90 sits in the top 10%, and he complements that with genuine goal threat, converting at a rate that outpaces four-fifths of his positional peers. The counterintuitive read here: his modest pass accuracy of 77.8% isn't sloppiness—it's the fingerprint of a player attempting higher-risk, higher-reward deliveries that most midfielders simply avoid. The three most similar players to Shoya Nakajima by playing style are:

• Romano Schmid(83% match) — A Creator. Statistically, he stands out as an elite creator (2.4 key passes/90), a prolific assist provider (0.46 assists/90), creates high-quality scoring opportunities (0.65 big chances/90), heavily involved in play (68 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 (2.4 dispossessed/90).
• Joel Chima Fujita(83% match) — A Box-to-Box. Statistically, he stands out as an aggressive ball-winner (2.6 tackles/90), heavily involved in play (55 touches/90) and active off the ball (3.0 press score/90), contributing to defensive transitions. However, he loses possession under pressure (1.6 dispossessed/90).
• Victor Froholdt(82% match) — A Balanced Midfielder. Statistically, he stands out as a reliable supplier (0.23 assists/90), meticulous in distribution (86% pass accuracy) and active off the ball (2.2 press score/90), contributing to defensive transitions.

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