Best Alternatives to Gennaro Tutino

Top 3 Alternatives to Gennaro Tutino

1. 1.Samuele Mulattieri84% DNA match·Sassuolo€6.0M
2. 2.Henrik Meister84% DNA match·Pisa€4.0M
3. 3.Gennaro Borrelli84% DNA match·Cagliari€3.0M

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

Playing Style Analysis

Tutino is a relentless physical disruptor masquerading as a traditional forward, operating as a high-volume aerial outlet despite his profile as an agile attacker. While his 0.11 goals per 90 suggests a lack of clinical edge, the data reveals a player who prioritizes territorial gain over finishing; he ranks in the top 20% for aerial win rate (43.8%) and dribbles per 90 (1.51), acting as a chaotic bridge between midfield and attack. The counterintuitive insight here is that while his pass accuracy is a dismal 67.6%, his 1.18 key passes per 90 indicate he is a high-risk, high-reward creator rather than just a sloppy distributor. The three most similar players to Gennaro Tutino by playing style are:

• Samuele Mulattieri(84% match) — 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.
• Henrik Meister(84% match) — A Forward. Note: this profile is based on 768 minutes of playing time this season.
• Gennaro Borrelli(84% match) — A Target Man. Statistically, he stands out as a constant goal threat (2.6 shots/90), a proven goalscorer (0.42 goals/90), strong in aerial duels (4.0 aerials won/90) and draws fouls effectively (3.9/90). However, he loses possession under pressure (2.4 dispossessed/90) and prone to committing fouls (3.3/90).

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