Best Alternatives to Alessandro Buongiorno

Top 3 Alternatives to Alessandro Buongiorno

1. 1.Nicolò Casale87% DNA match·Bologna€5.0M
2. 2.Thomas Kristensen87% DNA match·Udinese€12.0M
3. 3.Odilon Kossounou86% DNA match·Atalanta€22.0M

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

Playing Style Analysis

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. The three most similar players to Alessandro Buongiorno by playing style are:

• Nicolò Casale(87% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (8.0 clearances/90), meticulous in distribution (87% pass accuracy), wins the physical battle (56% duel success), dominant in the air (4.1 aerials won/90, 63%) and switches play with precision (7.6 long balls/90, 67% accuracy). Note: this profile is based on 677 minutes of playing time this season.
• Thomas Kristensen(87% match) — A Physical Stopper. Statistically, he stands out as commanding in the air (5.8 clearances/90) and wins the physical battle (57% duel success).
• Odilon Kossounou(86% 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 →