Best Alternatives to Kassoum Ouattara

Top 3 Alternatives to Kassoum Ouattara

1. 1.Arsène Kouassi88% DNA match·Lorient€7.0M
2. 2.Guela Doué87% DNA match·Strasbourg€18.0M
3. 3.Otávio87% DNA match·Paris€10.0M

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

Playing Style Analysis

A Active Full-Back. Statistically, he stands out as naturally left-footed, an elite creator (1.6 key passes/90), a prolific assist provider (0.28 assists/90), an aggressive ball-winner (2.5 tackles/90), reads the game exceptionally (1.7 interceptions/90) and active off the ball (3.0 press score/90), contributing to defensive transitions. The three most similar players to Kassoum Ouattara by playing style are:

• Arsène Kouassi(88% match) — A Active Full-Back. Statistically, he stands out as naturally left-footed, a capable chance creator (1.3 key passes/90), a prolific assist provider (0.43 assists/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. Note: this profile is based on 847 minutes of playing time this season.
• Guela Doué(87% match) — A Active Full-Back. Statistically, he stands out as an elite creator (2.0 key passes/90), a prolific assist provider (0.33 assists/90), active in the tackle (2.3 tackles/90), meticulous in distribution (89% pass accuracy), wins the ball cleanly (1.8 successful tackles/90), central to possession (82 touches/90) and active off the ball (2.8 press score/90), contributing to defensive transitions. Note: this profile is based on 540 minutes of playing time this season.
• Otávio(87% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (7.5 clearances/90), meticulous in distribution (89% pass accuracy), central to possession (73 touches/90), uses long balls frequently (5.4/90) and active off the ball (2.0 press score/90), contributing to defensive transitions. Note: this profile is based on 531 minutes of playing time this season.

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