Best Alternatives to Ivi López

Top 3 Alternatives to Ivi López

1. 1.Sergio Lozano82% DNA match·Levante€6.0M
2. 2.Kacper Kozlowski82% DNA match·Gaziantep F.K.€5.0M
3. 3.Fermín López82% DNA match·FC Barcelona€70.0M

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 (2.4 key passes/90), a constant goal threat (4.0 shots/90), a proven goalscorer (0.45 goals/90), creates high-quality scoring opportunities (0.56 big chances/90), heavily involved in play (62 touches/90) and top 10% creator in the league. However, he loses possession under pressure (2.3 dispossessed/90). The three most similar players to Ivi López by playing style are:

• Sergio Lozano(82% match) — A Ball-Winner. Statistically, he stands out as an elite creator (2.0 key passes/90), a prolific assist provider (0.25 assists/90), an aggressive ball-winner (2.5 tackles/90), creates high-quality scoring opportunities (0.84 big chances/90), heavily involved in play (69 touches/90), draws fouls effectively (2.3/90) and top 10% creator in the league. However, he prone to committing fouls (3.5/90).
• Kacper Kozlowski(82% match) — A Creator. Statistically, he stands out as a capable chance creator (1.2 key passes/90), a regular goalscorer (0.21 goals/90), draws fouls effectively (3.1/90) and active off the ball (2.0 press score/90), contributing to defensive transitions.
• Fermín López(82% match) — A Creator. Statistically, he stands out as an elite creator (1.8 key passes/90), a constant goal threat (3.1 shots/90), a regular goalscorer (0.29 goals/90), a prolific assist provider (0.51 assists/90), a dynamic dribbler (2.1/90), active in the tackle (2.3 tackles/90), meticulous in distribution (87% pass accuracy), creates high-quality scoring opportunities (0.80 big chances/90), heavily involved in play (64 touches/90), active off the ball (2.3 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 →