Best Alternatives to Samuel Gigot 

Top 3 Alternatives to Samuel Gigot 

1. 1.Federico Baschirotto86% DNA match·Cremonese€4.0M
2. 2.Odilon Kossounou85% DNA match·Atalanta€22.0M
3. 3.Mariano Troilo85% DNA match·Parma€6.0M

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 regular goalscorer (0.26 goals/90), commanding in the air (4.3 clearances/90), reads the game exceptionally (1.9 interceptions/90), meticulous in distribution (92% pass accuracy) and wins the physical battle (78% duel success). Note: this profile is based on 682 minutes of playing time this season. The three most similar players to Samuel Gigot  by playing style are:

• Federico Baschirotto(86% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (6.8 clearances/90), meticulous in distribution (85% pass accuracy) and uses long balls frequently (6.0/90).
• Odilon Kossounou(85% 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.
• Mariano Troilo(85% match) — 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.

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