Best Alternatives to Jhon Lucumí

Top 3 Alternatives to Jhon Lucumí

1. 1.Alessandro Buongiorno86% DNA match·Napoli€45.0M
2. 2.Marcos Senesi85% DNA match·AFC Bournemouth€22.0M
3. 3.Tarik Muharemović85% DNA match·Sassuolo€20.0M

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

Playing Style Analysis

Lucumí has quietly built one of the most underrated defensive profiles in Serie A — a Colombian ball-playing centre-back who wins the fight before it starts rather than after. His interception numbers sit in the top 10% of the league, which tells the real story: this isn't a defender who reacts, he anticipates. Paired with elite press intensity — also top 10% — he functions less like a last line and more like an aggressive first trigger. The three most similar players to Jhon Lucumí by playing style are:

• Alessandro Buongiorno(86% match) — Buongiorno has quietly become one of Serie A's most complete defensive operators — a centre-back who wins the ball without fanfare and moves it with purpose. His interception numbers place him in the top 10% of defenders in the league, which tells you something important: this isn't a defender who simply reacts, he anticipates. His 62.4 passes per 90 — top 10% — reflects a player genuinely involved in build-up, not just a safety valve.
• Marcos Senesi(85% match) — A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (7.0 clearances/90), reads the game exceptionally (1.6 interceptions/90), heavily involved in possession (63 passes/90), penetrates with forward passing (13.7 final-third passes/90), central to possession (81 touches/90), uses long balls frequently (13.1/90) and active off the ball (2.5 press score/90), contributing to defensive transitions.
• Tarik Muharemović(85% match) — A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (6.9 clearances/90), meticulous in distribution (86% pass accuracy), wins the physical battle (76% duel success) and uses long balls frequently (5.5/90).

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