The increasing complexity and diversity of strategy in esports poses challenges for broadcasts to deliver comprehensive data driven graphics. As a result, there is an increasing need for a streamlined process for creating post-game graphics that can highlight the nuances of narratives, enhancing viewer understanding and commentary. This paper aims to investigate an engine-agnostic solution that automates the generation and selection of post-game graphics for League of Legends using artificial intelligence.