Best Alternatives to Alessio Romagnoli

Top 3 Alternatives to Alessio Romagnoli

1. 1.Mario Gila87% DNA match·Lazio€30.0M
2. 2.Gianluca Mancini86% DNA match·Roma€15.0M
3. 3.Fikayo Tomori87% DNA match·AC Milan€20.0M

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 naturally left-footed, commanding in the air (4.8 clearances/90), meticulous in distribution (92% pass accuracy), wins the physical battle (57% duel success), heavily involved in possession (66 passes/90) and central to possession (76 touches/90). The three most similar players to Alessio Romagnoli by playing style are:

• Mario Gila(87% match) — A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.1 tackles/90), commanding in the air (4.8 clearances/90), meticulous in distribution (91% pass accuracy), wins the physical battle (71% duel success), heavily involved in possession (64 passes/90), central to possession (78 touches/90), switches play with precision (6.6 long balls/90, 69% accuracy) and active off the ball (2.8 press score/90), contributing to defensive transitions.
• Gianluca Mancini(86% match) — Mancini has quietly built one of the most complete defensive profiles in Serie A — a centre-back whose football intelligence does the heavy lifting before his legs ever need to. His interception rate lands in the top 10% of the league, which tells the real story: this isn't a defender who relies on last-ditch tackles — average by league standards — but one who simply isn't there when danger arrives because he read it two seconds earlier. His progressive passing output places him in the top 20%, and with 6.68 passes into the final third per 90, he's functioning closer to a deep-lying playmaker than a pure stopper.
• Fikayo Tomori(87% match) — A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.2 tackles/90) and meticulous in distribution (90% pass accuracy). Note: this profile is based on 608 minutes of playing time this season.

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