Best Alternatives to Leandro Barreiro

Top 3 Alternatives to Leandro Barreiro

1. 1.Manu Silva88% DNA match·Benfica€10.0M
2. 2.Alan Varela87% DNA match·Porto€32.0M
3. 3.João Simões87% DNA match·Sporting CP€15.0M

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

Playing Style Analysis

Barreiro is the rare midfielder who wins headers like a centre-back but still finds pockets to create like a number ten. His aerial win rate sits in the top 5% of Liga Portugal midfielders—a genuinely freakish number for someone operating in central midfield rather than set-piece territory—and it quietly underpins his value in transition, winning second balls that never show up in highlight reels. His 0.22 assists per 90 and near-1 key pass per 90 suggest a player with real creative intent, not just a recycler. The three most similar players to Leandro Barreiro by playing style are:

• Manu Silva(88% match) — A Ball-Winner. Statistically, he stands out as a capable chance creator (1.3 key passes/90), an aggressive ball-winner (2.8 tackles/90), wins the physical battle (56% duel success), creates high-quality scoring opportunities (1.33 big chances/90), central to possession (77 touches/90), strong in aerial duels (3.5 aerials won/90) and switches play with precision (8.6 long balls/90, 66% accuracy). Note: this profile is based on 678 minutes of playing time this season.
• Alan Varela(87% match) — A Ball-Winner. Statistically, he stands out as meticulous in distribution (87% pass accuracy), penetrates with forward passing (8.0 final-third passes/90), heavily involved in play (59 touches/90) and active off the ball (2.4 press score/90), contributing to defensive transitions.
• João Simões(87% match) — A Box-to-Box. Statistically, he stands out as meticulous in distribution (88% pass accuracy), heavily involved in play (63 touches/90) and active off the ball (2.6 press score/90), contributing to defensive transitions. However, he loses possession under pressure (1.7 dispossessed/90) and prone to committing fouls (3.0/90).

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