Best Alternatives to Rocco Ascone

Top 3 Alternatives to Rocco Ascone

1. 1.Sabil Hansen97% DNA match·Randers FC
2. 2.Jordy Bawuah97% DNA match·PSV
3. 3.Jay Matete97% DNA match·Sunderland

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

Playing Style Analysis

A Ball-Winner. Statistically, he stands out as an elite creator (2.2 key passes/90), an aggressive ball-winner (5.5 tackles/90), wins the physical battle (60% duel success), wins the ball cleanly (2.8 successful tackles/90), central to possession (70 touches/90), uses long balls frequently (5.5/90), active off the ball (2.9 press score/90), contributing to defensive transitions, top 10% creator in the league and top 10% tackler in the league. Note: this profile is based on 542 minutes of playing time this season. The three most similar players to Rocco Ascone by playing style are:

• Sabil Hansen(97% match) — A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (3.9 tackles/90), reads the game exceptionally (2.1 interceptions/90), wins the physical battle (56% duel success), wins the ball cleanly (2.1 successful tackles/90), central to possession (71 touches/90), active off the ball (2.9 press score/90), contributing to defensive transitions and top 10% tackler in the league.
• Jordy Bawuah(97% match) — A Box-to-Box. Statistically, he stands out as a capable chance creator (1.4 key passes/90), an aggressive ball-winner (2.5 tackles/90), reads the game exceptionally (2.4 interceptions/90), heavily involved in play (61 touches/90), draws fouls effectively (3.2/90) and a high-intensity presser (press score 3.7/90), constantly disrupting opposition build-up.
• Jay Matete(97% match) — A Ball-Winner. Statistically, he stands out as a capable chance creator (1.2 key passes/90), an aggressive ball-winner (2.7 tackles/90), meticulous in distribution (88% pass accuracy), wins the physical battle (56% duel success), creates high-quality scoring opportunities (0.65 big chances/90), heavily involved in play (64 touches/90), draws fouls effectively (2.4/90) and top 10% tackler in the league.

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