Best Alternatives to Gonzalo Piovi

Top 3 Alternatives to Gonzalo Piovi

1. 1.Strahinja Pavlović88% DNA match·AC Milan€28.0M
2. 2.Antoine Mendy84% DNA match·Nice€4.0M
3. 3.Odilon Kossounou84% DNA match·Atalanta€22.0M

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 a capable chance creator (1.0 key passes/90), active in the tackle (2.2 tackles/90), commanding in the air (4.5 clearances/90), reads the game exceptionally (1.7 interceptions/90), penetrates with forward passing (11.2 final-third passes/90), central to possession (80 touches/90), uses long balls frequently (12.0/90) and active off the ball (2.6 press score/90), contributing to defensive transitions. The three most similar players to Gonzalo Piovi by playing style are:

• Strahinja Pavlović(88% match) — A Ball-Playing CB. Statistically, he stands out as naturally left-footed, a regular goalscorer (0.26 goals/90) and meticulous in distribution (94% pass accuracy). Note: this profile is based on 704 minutes of playing time this season.
• Antoine Mendy(84% match) — A Ball-Playing CB. Statistically, he stands out as an aggressive ball-winner (3.3 tackles/90), commanding in the air (7.3 clearances/90), meticulous in distribution (85% pass accuracy), wins the physical battle (66% duel success), wins the ball cleanly (2.4 successful tackles/90), dominant in the air (3.3 aerials won/90, 76%), active off the ball (2.2 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 630 minutes of playing time this season.
• Odilon Kossounou(84% match) — Kossounou has carved out a rare niche in Serie A's defensive landscape: a centre-back who builds play with the precision of a deep-lying midfielder while quietly contributing to the scoresheet. His 92.7% pass accuracy places him in the top 5% of defenders in the division—not just neat sideways passes, but 5.27 progressive balls into the final third per 90, suggesting genuine intent to break lines. His goal contribution rate sits in the top 20%, a counterintuitive figure that reveals an underrated offensive threat from set-pieces that opponents routinely underestimate.

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