Roundnet is a dynamic and fast-growing sport that combines quick reaction, athleticism, and strong community. However, like many emerging sports, it faces challenges in balancing competition, optimizing rules, and increasing accessibility for both players and spectators. This is where Python and data analysis come into play.

In this talk, I'll share insights from my role as Data Lead on the International Roundnet rule committee, where we use Python-powered data analysis to make informed decisions about the future of the sport. We'll explore how analyzing gameplay patterns and testing rule changes with simulation can lead to fairer, more exciting games and attract a broader audience.