Telling Esports Stories Through the Lens of Athletics: Data Input Crisis in Modern Analysis Systems

A missed penalty in the 88th minute has little to do with technique, and everything to do with pressure. I still remember that feeling when I was watching high-level esports matches. A moment that seems random is the result of thousands of hours of practice and a major tournament cycle. I enter the archive like an archaeologist, and I leave as a storyteller. Over the past five years, I have learned how to dig deep into the data to find the running rhythm hidden beneath the surface of the match. But recently, an in-depth analytical report made me rethink how we tell these stories. It was a report with a rigid template but empty of content. It is like a GPS logbook filled with white squares. Kazan is not just a defeat. It is the running rhythm I have not stopped listening to. And an analysis system without input data is the same: it is not silence, but a roar choked at the exhaust pipe.