Best Alternatives to Sebastian Szymanski
Players most similar to Sebastian Szymanski (Midfielder, €12.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Sebastian Szymanski
- 1.Romain Faivre97% DNA match·Auxerre€5.0M
- 2.Bismark Edjeodji97% DNA match·Vejle Boldklub
- 3.Svit Seslar97% DNA match·Eyüpspor
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Intelligence Verdict
“A Creator....”
See Full Verdict + Share Card →Playing Style Analysis
A Creator. Statistically, he stands out as naturally left-footed, a capable chance creator (1.3 key passes/90), a prolific assist provider (0.38 assists/90), active in the tackle (2.5 tackles/90) and heavily involved in play (53 touches/90). However, he loses possession under pressure (1.5 dispossessed/90). The three most similar players to Sebastian Szymanski by playing style are:
- Romain Faivre(97% match) — A Creator. Statistically, he stands out as naturally left-footed, an elite creator (1.5 key passes/90), a prolific assist provider (0.31 assists/90), wins the physical battle (61% duel success), active off the ball (2.2 press score/90), contributing to defensive transitions and top 20% creator in the league. Note: this profile is based on 583 minutes of playing time this season.
- Bismark Edjeodji(97% match) — A Creator. Statistically, he stands out as an elite creator (1.7 key passes/90), a prolific assist provider (0.32 assists/90) and top 20% creator in the league. Note: this profile is based on 848 minutes of playing time this season.
- Svit Seslar(97% match) — A Creator. Statistically, he stands out as a capable chance creator (1.3 key passes/90), a reliable supplier (0.16 assists/90) and active off the ball (2.5 press score/90), contributing to defensive transitions. However, he loses possession under pressure (2.1 dispossessed/90).
Transfer Intelligence
Romain Faivre delivers 97% of the same playing style, at 58% lower cost (€5.0M vs €12.0M), with 0.38 key passes per 90 at age 27.
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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