Best Alternatives to Ben Osborn

Top 3 Alternatives to Ben Osborn

1. 1.Robert Skov84% DNA match·FC Union Berlin€3.0M
2. 2.Mats Seuntjens83% DNA match·FC Groningen
3. 3.Tino Anjorin83% DNA match·Torino€4.0M

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

Playing Style Analysis

Ben Osborn is a Creator. Playmaker unlocking defenses with key passes. Statistically, he stands out as an elite creator (1.9 key passes/90), active in the tackle (1.9 tackles/90), creates high-quality scoring opportunities (1.32 big chances/90), heavily involved in play (57 touches/90), uses long balls frequently (7.7/90) and top 20% creator in the league. The three most similar players to Ben Osborn by playing style are:

• Robert Skov(84% match) — A Creator. Statistically, he stands out as naturally left-footed, an elite creator (2.1 key passes/90), a regular goalscorer (0.21 goals/90), a reliable supplier (0.21 assists/90), creates high-quality scoring opportunities (1.05 big chances/90), heavily involved in play (62 touches/90) and top 20% creator in the league. Note: this profile is based on 858 minutes of playing time this season.
• Mats Seuntjens(83% match) — A Creator. Statistically, he stands out as an elite creator (2.6 key passes/90), a regular goalscorer (0.27 goals/90), a prolific assist provider (0.27 assists/90), active in the tackle (1.9 tackles/90), creates high-quality scoring opportunities (1.21 big chances/90), active off the ball (2.0 press score/90), contributing to defensive transitions and top 10% creator in the league. Note: this profile is based on 669 minutes of playing time this season.
• Tino Anjorin(83% match) — A Creator. Statistically, he stands out as a capable chance creator (1.4 key passes/90), a reliable supplier (0.24 assists/90), active in the tackle (2.4 tackles/90), heavily involved in play (55 touches/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 20% creator in the league.

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