Best Alternatives to Samuele Mulattieri

Top 3 Alternatives to Samuele Mulattieri

1. 1.Andrea Pinamonti87% DNA match·Sassuolo€15.0M
2. 2.Roberto Piccoli87% DNA match·Fiorentina€18.0M
3. 3.Lorenzo Colombo86% DNA match·Genoa€6.0M

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

Playing Style Analysis

Mulattieri is the kind of striker who wins headers in Serie A but struggles to win the ball at his feet—a physical presence in the box who remains curiously invisible in open play. His aerial win rate sits above the league average for attackers, a legitimate weapon in the right system, and his dribble volume places him in the top 20%—suggesting more directness than his overall profile implies. The counterintuitive read here: his low pass volume isn't laziness, it's positioning; he operates in tight spaces where recycling the ball simply isn't his job. The three most similar players to Samuele Mulattieri by playing style are:

• Andrea Pinamonti(87% match) — A Target Man. Statistically, he stands out as a prolific assist provider (0.25 assists/90). Note: this profile is based on 713 minutes of playing time this season.
• Roberto Piccoli(87% match) — Piccoli is the kind of striker Serie A defences respect in the air but rarely fear on the ball—a blunt instrument with genuine aerial menace in a league that still values it. His 3.06 aerial wins per 90 place him comfortably in the top 20% of attackers, and his shot volume matches that tier too, suggesting a forward who gets into positions even if he doesn't always finish them. Here's the counterintuitive part: that dismal pass accuracy—bottom 10% in the league—isn't necessarily laziness or sloppiness.
• Lorenzo Colombo(86% match) — A Target Man. Statistically, he stands out as naturally left-footed, a regular goalscorer (0.32 goals/90) and draws fouls effectively (2.1/90). However, he loses possession under pressure (2.4 dispossessed/90).

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