Best Alternatives to Rômulo

Top 3 Alternatives to Rômulo

1. 1.Iván Corralejo99% DNA match·Real Betis
2. 2.Adil Aouchiche98% DNA match·Schalke 04
3. 3.Luka Tunjic98% 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 (4.2 key passes/90), a prolific assist provider (0.57 assists/90), wins the physical battle (59% duel success), creates high-quality scoring opportunities (0.76 big chances/90), delivers dangerous crosses (2.8 accurate crosses/90), heavily involved in play (50 touches/90), draws fouls effectively (2.1/90) and top 10% creator in the league. Note: this profile is based on 476 minutes of playing time this season. The three most similar players to Rômulo by playing style are:

• Iván Corralejo(99% match) — A Creator. Statistically, he stands out as an elite creator (1.7 key passes/90), a prolific assist provider (0.69 assists/90), wins the physical battle (60% duel success) and top 10% creator in the league. Note: this profile is based on 521 minutes of playing time this season.
• Adil Aouchiche(98% 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.
• Luka Tunjic(98% 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 →