Best Alternatives to Georgiy Sudakov

Top 3 Alternatives to Georgiy Sudakov

1. 1.Gonçalo Moreira86% DNA match·Benfica€5.0M
2. 2.João Carvalho85% DNA match·Estoril€15.0M
3. 3.Leandro Barreiro84% DNA match·Benfica€15.0M

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 comfortable with both feet, an elite creator (2.3 key passes/90), a regular goalscorer (0.25 goals/90), wins the physical battle (55% duel success), heavily involved in play (65 touches/90), draws fouls effectively (2.1/90) and top 10% creator in the league. However, he loses possession under pressure (1.6 dispossessed/90). The three most similar players to Georgiy Sudakov by playing style are:

• Gonçalo Moreira(86% match) — A Creator. Statistically, he stands out as an elite creator (3.3 key passes/90), a proven goalscorer (1.30 goals/90), a prolific assist provider (0.58 assists/90) and top 10% creator in the league. Note: this profile is based on 622 minutes of playing time this season.
• João Carvalho(85% match) — Carvalho is the kind of midfielder who makes the final third feel smaller—a player whose game is built around arriving in dangerous spaces and punishing teams for letting him do so. His 0.25 goals and 0.46 assists per 90 both land in the top 10% of Liga Portugal midfielders, numbers that quietly tell a story of consistent, repeatable impact rather than lucky streaks. His passes into the final third rank in the top 20%, confirming this isn't accidental proximity to goal—he's actively driving play forward.
• Leandro Barreiro(84% match) — 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.

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