MatchVis: A generalized visual multi-scale analysis framework for competitive sports

Sports are highly competitive, fast-paced, and teamwork-based. In this article, we introduce a novel approach in analyzing competitive sports based on music metaphor. Our proposed framework MatchVis extracts match information from raw webcast dataset about NBA and incorporates historical models into the investigation, providing a more compact and understandable visual representation of the details and patterns of match, which can consequently aid analysts in performing specific tasks and decision-making.