Best Alternatives to Eduardo Quaresma

Top 3 Alternatives to Eduardo Quaresma

1. 1.Rúben Fernandes85% DNA match·Farense
2. 2.António Silva85% DNA match·Benfica€28.0M
3. 3.Pedro Álvaro84% DNA match·Aris

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

Playing Style Analysis

A Ball-Playing CB. Statistically, he stands out as a reliable supplier (0.22 assists/90), an aggressive ball-winner (3.3 tackles/90), meticulous in distribution (95% pass accuracy), wins the physical battle (62% duel success), heavily involved in possession (87 passes/90), penetrates with forward passing (9.0 final-third passes/90), wins the ball cleanly (1.9 successful tackles/90), central to possession (100 touches/90), active off the ball (2.7 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 826 minutes of playing time this season. The three most similar players to Eduardo Quaresma by playing style are:

• Rúben Fernandes(85% match) — Ruben Miguel Marques dos Santos Fernandes is a Ball-Playing CB. Progressive defender comfortable on the ball. Statistically, he stands out as commanding in the air (4.1 clearances/90), meticulous in distribution (85% pass accuracy) and wins the physical battle (60% duel success).
• António Silva(85% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (4.3 clearances/90), meticulous in distribution (89% pass accuracy), wins the physical battle (58% duel success), heavily involved in possession (66 passes/90), penetrates with forward passing (11.2 final-third passes/90), central to possession (79 touches/90) and uses long balls frequently (7.8/90).
• Pedro Álvaro(84% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (6.0 clearances/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (85% pass accuracy) and uses long balls frequently (5.8/90).

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