Glombik, DavidDavidGlombikBeck, FabianFabianBeck0000-0003-4042-3043Agarwal, ShivamShivamAgarwal0000-0003-3158-2624Wallner, GünterGünterWallner2025-07-092025-07-092025https://fis.uni-bamberg.de/handle/uniba/108991Popular team-based esport games such as League of Legends rely on effective verbal team communication. Analyzing and refecting on the own communication behavior is hence a relevant optimization strategy for a team, but needs to be suffciently contextualized through game events. In this work, we present an analysis approach to investigate both communication and game events in an integrated visual analytics system. Aside to providing overview statistics, this novel blend builds on timeline and word cloud representations to show the rich data from League of Legends game sessions, visually comparing the opposing teams. We demonstrate the approach through analyzing relevant communication patterns in an application example.eng-conferenceobject