Predicting Competitive Pokémon VGC Leads Using Latent Semantic Analysis
Bruno Luvizotto Carli Universidade Federal do Paraná, Curitiba, PR, Brazil. brunolcarli (at) gmail (dot) com Download PDF Competitive Pokémon battles often hinge on the initial selection of Pokémon leads. Anticipating an opponent’s lead choice offers a tactical edge, particularly in high-stakes matches. In this paper, I explore the use of Latent Semantic Analysis (LSA), a natural language processing algorithm, applied to over 5,000 Pokémon Showdown battle logs, to predict likely lead pairs b