Best Alternatives to PK

Top 3 Alternatives to PK

1. 1.Adil Aouchiche99% DNA match·Schalke 04
2. 2.Raul Paula98% DNA match·NAC Breda
3. 3.Efkan Bekiroğlu98% DNA match·Göztepe

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 (2.8 key passes/90), a constant goal threat (3.2 shots/90), a prolific assist provider (0.25 assists/90), a dynamic dribbler (2.5/90), active in the tackle (2.1 tackles/90), wins the physical battle (56% duel success), heavily involved in play (66 touches/90), draws fouls effectively (3.9/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 10% creator in the league. However, he loses possession under pressure (1.8 dispossessed/90). The three most similar players to PK by playing style are:

• Adil Aouchiche(99% match) — A Creator. Statistically, he stands out as an elite creator (3.8 key passes/90), a constant goal threat (3.3 shots/90), a reliable supplier (0.17 assists/90), creates high-quality scoring opportunities (0.86 big chances/90), delivers dangerous crosses (3.2 accurate crosses/90), heavily involved in play (64 touches/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 10% creator in the league.
• Raul Paula(98% match) — A Creator. Statistically, he stands out as an elite creator (1.9 key passes/90), a constant goal threat (2.9 shots/90), a regular goalscorer (0.25 goals/90), a prolific assist provider (0.25 assists/90), heavily involved in play (55 touches/90), draws fouls effectively (2.8/90) and top 20% creator in the league. However, he loses possession under pressure (2.0 dispossessed/90).
• Efkan Bekiroğlu(98% match) — A Creator. Statistically, he stands out as an elite creator (2.8 key passes/90), a regular goalscorer (0.25 goals/90), a prolific assist provider (0.25 assists/90) and top 10% creator in the league.

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