Best Alternatives to Benjamin Sesko

Top 3 Alternatives to Benjamin Sesko

1. 1.Gianluca Scamacca87% DNA match·Atalanta€25.0M
2. 2.Alexander Isak86% DNA match·Liverpool€100.0M
3. 3.Rasmus Højlund86% DNA match·Napoli€50.0M

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

Playing Style Analysis

A Target Man. Statistically, he stands out as a constant goal threat (3.4 shots/90), a proven goalscorer (0.60 goals/90), strong in aerial duels (3.5 aerials won/90) and top 10% scorer in the league. However, he loses possession under pressure (1.6 dispossessed/90). The three most similar players to Benjamin Sesko by playing style are:

• Gianluca Scamacca(87% match) — Scamacca is the rare Italian striker who combines a bodybuilder's frame with a poacher's cold efficiency, making him one of Serie A's most quietly dangerous forwards. His goals-per-90 sits in the top 10% of the league, but the real headline is his shot volume — top 5% — which tells you this isn't a man waiting for perfect moments, he's manufacturing them. The counterintuitive read here: his below-average pass accuracy looks like a liability until you realise a striker taking 4 shots per 90 isn't meant to be your build-up metronome.
• Alexander Isak(86% match) — A Complete Forward. Statistically, he stands out as a regular goalscorer (0.38 goals/90). Note: this profile is based on 702 minutes of playing time this season.
• Rasmus Højlund(86% match) — Højlund arrived in Serie A carrying the blueprint of a modern target forward — raw, physical, and still being written. His goal return of 0.43 per 90 places him comfortably in the top 30% of Serie A attackers, a figure that flatters a player whose broader offensive contribution remains frustratingly thin. The counterintuitive read here is his aerial dominance: winning nearly half his aerial duels at above-average volume, he functions as a genuine aerial threat in a league that punishes soft strikers — yet his ground duel rate sits in the bottom 10%, exposing a player who struggles when the game drops to feet.

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