Best Alternatives to Alessandro Circati

Top 3 Alternatives to Alessandro Circati

1. 1.Tarik Muharemović86% DNA match·Sassuolo€20.0M
2. 2.Berat Djimsiti86% DNA match·Atalanta€5.0M
3. 3.Lloyd Kelly85% DNA match·Juventus€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 commanding in the air (5.1 clearances/90), meticulous in distribution (86% pass accuracy), wins the physical battle (57% duel success) and uses long balls frequently (6.8/90). The three most similar players to Alessandro Circati by playing style are:

• Tarik Muharemović(86% match) — A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (6.9 clearances/90), meticulous in distribution (86% pass accuracy), wins the physical battle (76% duel success) and uses long balls frequently (5.5/90).
• Berat Djimsiti(86% match) — Djimsiti has carved out a quietly indispensable role at Atalanta through a blend of aerial authority and positional discipline that rarely generates highlights but consistently generates clean sheets. His 2.90 aerials won per 90 places him in the top 20% of Serie A defenders—a figure that understates his real value, because in Atalanta's high-pressing system, winning second balls isn't cosmetic, it's structural. His 89.9% pass accuracy and 54.9 passes per 90 both rank in the top fifth of the league, meaning he's not just a stopper—he circulates possession with genuine comfort.
• Lloyd Kelly(85% match) — Kelly has quietly become one of Serie A's most complete defensive presences — a left-sided centre-back who dominates physically without sacrificing technical composure. His aerial win rate sits in the top 10% of the league, and crucially, he wins those duels at volume too — 3.00 per 90 puts him in the top 20% for aerial output. The counterintuitive finding here is his dribbling: 0.57 per 90 in the top 20% for a defender signals genuine ball-carrying confidence, which explains why his 60.2 passes per 90 doesn't just represent safety-first recycling but active progression.

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