At its core, Luna Stats is built around probabilistic match predictions — designed to provide a structured, model-based view of upcoming fixtures. Rather than relying on opinion, our approach is grounded in statistical modeling and data aggregation, giving users a transparent perspective on how matches may unfold.

Beyond predictions, Luna Stats offers a suite of interactive tools for exploring player performance in depth. Users can build fully customized visualizations, compare players across multiple metrics, and generate scouting tables tailored to specific leagues, roles, and statistical profiles. The platform is designed to be flexible, allowing both casual fans and more advanced users to explore the game through data.

Our data pipeline combines publicly available football datasets, including sources such as football-data.co.uk, with internally processed event-based data. All metrics, visualizations, and models are derived and structured within our own analytical framework.