Best Alternatives to Tobias Gulliksen
Players most similar to Tobias Gulliksen (Attacker, €3.8M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Tobias Gulliksen
- 1.Mikel Gogorza87% DNA match·FC Midtjylland
- 2.Yunus Akgün84% DNA match·Galatasaray€17.0M
- 3.Filip Bundgaard84% DNA match·Brøndby IF€3.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
Tobias Fjeld Gulliksen is a Forward. Versatile attacking option. Statistically, he stands out as an elite creator (2.0 key passes/90), a regular goalscorer (0.23 goals/90), a prolific assist provider (0.27 assists/90), meticulous in distribution (86% pass accuracy) and creates high-quality scoring opportunities (1.37 big chances/90). The three most similar players to Tobias Gulliksen by playing style are:
- Mikel Gogorza(87% match) — Mikel Johan Gogorza Krüger-Johnsen is a Complete Forward. Versatile attacker combining goals, creativity and work rate. Statistically, he stands out as an elite creator (1.8 key passes/90), a regular goalscorer (0.29 goals/90), a prolific assist provider (0.29 assists/90), creates high-quality scoring opportunities (0.98 big chances/90) and draws fouls effectively (2.6/90).
- Yunus Akgün(84% match) — Yunus Akgün is a Complete Forward. Versatile attacker combining goals, creativity and work rate. Statistically, he stands out as naturally left-footed, an elite creator (2.1 key passes/90), a regular goalscorer (0.29 goals/90), a prolific assist provider (0.42 assists/90) and creates high-quality scoring opportunities (1.09 big chances/90).
- Filip Bundgaard(84% match) — A Complete Forward. Statistically, he stands out as a regular goalscorer (0.34 goals/90).
Transfer Intelligence
Yunus Akgün delivers 84% of the same playing style, at a 347% premium over Tobias Gulliksen, with 0.34 goals per 90 at age 25. That's 143% of Tobias Gulliksen's output in goals per 90 — a credible like-for-like option.
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
Similar Players — Ranked by DNA Similarity
Ask AI: Why are these players similar?
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