Na-yeong Shin, hailing from the Korea Republic, is a dynamic right wing-back currently playing for Brooklyn in the USL Super League. At 27 years old, Na-yeong Shin has already carved out a solid reputation as a defensive-minded player known for her exceptional ability to disrupt opposition plays and facilitate smooth transitions from defense to attack. She has played 11 games for Brooklyn this season, amassing a total of 591 minutes on the pitch. Although she has yet to register a goal or an assist, her presence is felt in other key areas, contributing significantly to her team's defensive solidity and overall tactical setup.
Shin's statistics underscore her influence on the game, especially in defensive maneuvers and ball progression. With an impressive progressive passing distance of 142.74 meters per 90 minutes and a progressive carrying distance of 12.4 meters per 90, she is pivotal in advancing play from the back. Her defensive contribution shines through her possession-adjusted 2.67 interceptions per 90 minutes and a challenge success rate of 59%, complemented by 4.5 challenges per 90, reflecting her robustness in duels and her ability to win back possession. Despite being in a defensive role, her xG per 90 of 0.13 and shots per 90 of 0.5 showcase her willingness and occasional forays into more advanced positions, hinting at her versatility.
Ranked 1.5 on the playmaker scale, Na-yeong Shin's estimated transfer value of €103K reflects her growing importance and potential in the league. Her profile as a right wing-back harmonizes well with Brooklyn's tactical approach, providing a balance of defensive grit and progressive play. As she continues to develop her career in the USL Super League, her contributions will be critical to Brooklyn's ambitions and potential successes. Her stats indicate a player who is not only dedicated to defensive duties but also actively participates in setting the tempo and transition of play, marking her as a valuable asset in the league.
Estimated market value powered by PlaymakerAI's proprietary valuation algorithm — the most advanced in women's football. Factors in match performance, positional output, and league context.