Best Alternatives to Neto Moura

Playing Style Analysis

A Metronome. Statistically, he stands out as naturally left-footed, active in the tackle (1.9 tackles/90), meticulous in distribution (88% pass accuracy), wins the physical battle (63% duel success), penetrates with forward passing (9.9 final-third passes/90), central to possession (72 touches/90), switches play with precision (6.2 long balls/90, 82% accuracy) and active off the ball (2.0 press score/90), contributing to defensive transitions. Note: this profile is based on 726 minutes of playing time this season. The three closest DNA matches to Neto Moura:

• Nicolò Rovella (96% match) — A Metronome. Statistically, he stands out as an elite creator (2.3 key passes/90), a reliable supplier (0.18 assists/90), active in the tackle (1.9 tackles/90), reads the game exceptionally (1.8 interceptions/90), meticulous in distribution (93% pass accuracy), wins the physical battle (63% duel success), heavily involved in possession (86 passes/90), penetrates with forward passing (12.3 final-third passes/90), central to possession (103 touches/90), draws fouls effectively (2.3/90), a high-intensity presser (press score 3.7/90), constantly disrupting opposition build-up and top 10% creator in the league.
• Ardon Jashari(96% match) — A Metronome. Statistically, he stands out as a capable chance creator (1.2 key passes/90), active in the tackle (1.8 tackles/90), meticulous in distribution (91% pass accuracy), central to possession (71 touches/90) and active off the ball (2.6 press score/90), contributing to defensive transitions.
• Teun Koopmeiners(80% match) — Koopmeiners is the rare midfielder who makes a team's build-up feel inevitable rather than effortful—a conductor who turns possession into progression with surgical consistency. His 91.1% pass accuracy places him in the top 10% of Serie A midfielders, but the more telling number is his 8.79 passes into the final third per 90, also top 10%—this isn't a recycler, it's a penetrator.

Similarity uses per-90 performance across playing-style dimensions. How Player DNA matching works →