Best Alternatives to Mariano Troilo

Top 3 Alternatives to Mariano Troilo

1. 1.Jan Ziolkowski88% DNA match·Roma€12.0M
2. 2.Nicolò Bertola88% DNA match·Udinese€6.0M
3. 3.Daniele Ghilardi87% DNA match·Roma€8.0M

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 comfortable with both feet, active in the tackle (2.2 tackles/90), commanding in the air (7.8 clearances/90), reads the game exceptionally (1.8 interceptions/90), meticulous in distribution (90% pass accuracy), wins the physical battle (56% duel success) and active off the ball (2.5 press score/90), contributing to defensive transitions. Note: this profile is based on 541 minutes of playing time this season. The three most similar players to Mariano Troilo by playing style are:

• Jan Ziolkowski(88% match) — Ziolkowski is the kind of defender Serie A clubs overlook until someone smarter doesn't. Playing limited minutes for a mid-table side, the Pole has quietly posted tackle and press numbers that place him in the top 5% of all defenders in the division—a relentless, ball-hungry presence who disrupts opposition build-up before it becomes dangerous. His interception rate sits in the top 20%, suggesting genuine anticipation rather than reactive defending.
• Nicolò Bertola(88% match) — A Solid Defender. Statistically, he stands out as commanding in the air (4.4 clearances/90), uses long balls frequently (6.7/90) and active off the ball (2.1 press score/90), contributing to defensive transitions.
• Daniele Ghilardi(87% match) — A Ball-Playing CB. Statistically, he stands out as an aggressive ball-winner (2.5 tackles/90), commanding in the air (4.1 clearances/90), meticulous in distribution (86% pass accuracy), wins the physical battle (59% duel success), penetrates with forward passing (8.3 final-third passes/90), uses long balls frequently (6.1/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 782 minutes of playing time this season.

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