Best Alternatives to Pokkhao Anan

Top 3 Alternatives to Pokkhao Anan

1. 1.Raphael Obermair97% DNA match·Paderborn
2. 2.Álex Cardero96% DNA match·Real Oviedo
3. 3.Luka Tunjic96% DNA match·Fortuna Sittard

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

Playing Style Analysis

A Creator. Statistically, he stands out as an elite creator (1.5 key passes/90), a reliable supplier (0.15 assists/90), reads the game exceptionally (2.4 interceptions/90), meticulous in distribution (87% pass accuracy), creates high-quality scoring opportunities (0.76 big chances/90), heavily involved in play (68 touches/90), switches play with precision (6.8 long balls/90, 69% accuracy) and top 20% creator in the league. Note: this profile is based on 595 minutes of playing time this season. The three most similar players to Pokkhao Anan by playing style are:

• Raphael Obermair(97% match) — A Creator. Statistically, he stands out as an elite creator (2.0 key passes/90), a prolific assist provider (0.29 assists/90), creates high-quality scoring opportunities (0.59 big chances/90), heavily involved in play (67 touches/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 10% creator in the league.
• Álex Cardero(96% match) — A Creator. Statistically, he stands out as an elite creator (1.6 key passes/90), a reliable supplier (0.15 assists/90), active off the ball (2.7 press score/90), contributing to defensive transitions and top 20% creator in the league. Note: this profile is based on 613 minutes of playing time this season.
• Luka Tunjic(96% match) — A Creator. Statistically, he stands out as an elite creator (2.3 key passes/90), a reliable supplier (0.19 assists/90), creates high-quality scoring opportunities (0.76 big chances/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 10% creator in the league. Note: this profile is based on 472 minutes of playing time this season.

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