Best Alternatives to Domingos Quina

Top 3 Alternatives to Domingos Quina

1. 1.Diego Moreira81% DNA match·Strasbourg€18.0M
2. 2.Rodrigo Mora82% DNA match·Porto€38.0M
3. 3.Roberto Olabe81% DNA match·UD Ibiza€3.0M

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

Playing Style Analysis

Quina remains a high-variance enigma, a former wunderkind navigating the periphery of elite competition while still flashing the raw, individualistic tools that once made him a blue-chip prospect. Despite limited minutes in a Tier C Champions League setup, his profile suggests a player playing with a "green light" mentality; his 1.30 shots per 90 puts him in the top 20% of midfielders, signaling an aggressive, vertical intent that belies his modest 21.1 passes per 90. Counterintuitively, while his aerial win rate of 25% sits above the league average, his 0.32 successful aerials per 90 reveals a player who picks his battles with extreme prejudice rather than a physical enforcer. The three most similar players to Domingos Quina by playing style are:

• Diego Moreira(81% match) — A Box-to-Box. Statistically, he stands out as naturally left-footed, an elite creator (1.7 key passes/90), a reliable supplier (0.21 assists/90), active in the tackle (2.1 tackles/90), creates high-quality scoring opportunities (0.53 big chances/90), heavily involved in play (65 touches/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 20% creator in the league.
• Rodrigo Mora(82% match) — A Creator. Statistically, he stands out as an elite creator (2.7 key passes/90), a constant goal threat (2.8 shots/90), heavily involved in play (55 touches/90), active off the ball (2.3 press score/90), contributing to defensive transitions and top 10% creator in the league. However, he loses possession under pressure (1.6 dispossessed/90).
• Roberto Olabe(81% match) — A Box-to-Box. Statistically, he stands out as a reliable supplier (0.16 assists/90) and active in the tackle (2.0 tackles/90).

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