Best Alternatives to Bruno Gomes
Players most similar to Bruno Gomes (Defender, €5.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Bruno Gomes
- 1.Gonçalo Costa87% DNA match·Estoril
- 2.Kévin Rodrigues86% DNA match·Gaziantep F.K.
- 3.Aurélio Buta85% DNA match·FC København€3.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Intelligence Verdict
“Bruno Gomes da Silva Clevelário is a Active Full-Back....”
See Full Verdict + Share Card →Playing Style Analysis
Bruno Gomes da Silva Clevelário is a Active Full-Back. Wide defender contributing to attacks. Statistically, he stands out as a capable chance creator (1.3 key passes/90), a reliable supplier (0.18 assists/90), active in the tackle (2.5 tackles/90), meticulous in distribution (85% pass accuracy), penetrates with forward passing (8.6 final-third passes/90) and central to possession (71 touches/90). The three most similar players to Bruno Gomes by playing style are:
- Gonçalo Costa(87% match) — A Physical Stopper. Statistically, he stands out as a capable chance creator (1.1 key passes/90), a regular goalscorer (0.36 goals/90), an aggressive ball-winner (2.7 tackles/90), creates high-quality scoring opportunities (0.54 big chances/90) and top 10% tackler in the league. Note: this profile is based on 497 minutes of playing time this season.
- Kévin Rodrigues(86% match) — Kévin Manuel Rodrigues is a Active Full-Back. Wide defender contributing to attacks. Statistically, he stands out as a capable chance creator (1.2 key passes/90), an aggressive ball-winner (3.2 tackles/90), wins the ball cleanly (2.0 successful tackles/90), central to possession (71 touches/90), uses long balls frequently (5.2/90) and top 10% tackler in the league.
- Aurélio Buta(85% match) — A Active Full-Back. Statistically, he stands out as active in the tackle (2.1 tackles/90).
Transfer Intelligence
Aurélio Buta delivers 85% of the same playing style, at 40% lower cost (€3.0M vs €5.0M), with 2.17 tackles won per 90 at age 29.
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
Similar Players — Ranked by DNA Similarity
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