Best Alternatives to Michael Olise

Top 3 Alternatives to Michael Olise

1. 1.Karim Adeyemi86% DNA match·Borussia Dortmund€60.0M
2. 2.Noah Okafor86% DNA match·Leeds United€18.0M
3. 3.Julien Duranville86% DNA match·Borussia Dortmund€8.5M

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

Playing Style Analysis

A Inside Forward. Statistically, he stands out as naturally left-footed, an elite creator (3.2 key passes/90), a constant goal threat (3.9 shots/90), a proven goalscorer (0.62 goals/90), a prolific assist provider (0.85 assists/90), a dynamic dribbler (2.3/90), creates high-quality scoring opportunities (1.21 big chances/90), central to possession (91 touches/90), draws fouls effectively (2.2/90) and top 20% scorer in the league. The three most similar players to Michael Olise by playing style are:

• Karim Adeyemi(86% match) — A Inside Forward. Statistically, he stands out as naturally left-footed, a capable chance creator (1.0 key passes/90), a proven goalscorer (0.55 goals/90), a reliable supplier (0.18 assists/90), a dynamic dribbler (2.1/90), draws fouls effectively (2.1/90) and top 20% scorer in the league.
• Noah Okafor(86% match) — A Inside Forward. Statistically, he stands out as a capable chance creator (1.1 key passes/90), a proven goalscorer (0.46 goals/90), a dynamic dribbler (2.2/90) and top 20% scorer in the league. However, he loses possession under pressure (1.8 dispossessed/90).
• Julien Duranville(86% match) — Duranville is the kind of teenager who makes defenders look foolish in tight spaces—his dribble rate sits in the Bundesliga's top 5% among attackers, a number that reflects genuine one-on-one menace rather than statistical noise. His pass accuracy at 81.4% places him in the top 20%, which is the counterintuitive detail worth examining: this is not a reckless runner who loses the ball cheaply, but a composed carrier who picks his moments. The concern, however, is real—his key passes rank in the bottom 10%, meaning the creativity stops at the final decision.

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