Best Alternatives to Fabrizio Peralta

Top 3 Alternatives to Fabrizio Peralta

1. 1.Jari Vandeputte85% DNA match·Cremonese€3.3M
2. 2.Matteo Tramoni84% DNA match·Pisa€3.0M
3. 3.Mikael Egill Ellertsson83% DNA match·Genoa€3.5M

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

Playing Style Analysis

Peralta is a high-volume, high-risk progressive engine operating in the shadows of a lower-tier Serie A side, functioning as a chaotic bridge between defensive recovery and final-third incision. While his 81.4% pass accuracy suggests a lack of technical refinement, the data reveals a player who thrives on verticality; he ranks in the top 20% for passes attempted and the top 30% for key passes, indicating he is a primary creator rather than a mere recycler. Most remarkably, his dribbling volume sits in the elite top 5% for midfielders, proving he prefers to break lines with his feet rather than just his vision. The three most similar players to Fabrizio Peralta by playing style are:

• Jari Vandeputte(85% match) — A Creator. Statistically, he stands out as an elite creator (3.0 key passes/90), a prolific assist provider (0.29 assists/90), creates high-quality scoring opportunities (0.68 big chances/90), penetrates with forward passing (9.7 final-third passes/90), heavily involved in play (70 touches/90), uses long balls frequently (6.1/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% creator in the league.
• Matteo Tramoni(84% match) — A Creator. Statistically, he stands out as an elite creator (2.6 key passes/90), a regular goalscorer (0.23 goals/90), creates high-quality scoring opportunities (0.58 big chances/90) and top 10% creator in the league. Note: this profile is based on 774 minutes of playing time this season.
• Mikael Egill Ellertsson(83% match) — A Balanced Midfielder. Statistically, he stands out as naturally left-footed.

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