Inferring Player Rating from Performance Data in Massively Multiplayer Online Role-Playing Games (MMORPGs)

摘要

This paper examines online player performance in EverQuest II, a popular massively multiplayer online role-playing game (MMORPG) developed by Sony Online Entertainment. The study uses the gameu27s player performance data to devise performance metrics for online players. We report three major findings. First, we show that the gameu27s point-scaling system overestimates performances of lower level players and underestimates performances of higher level players. We present a novel point-scaling system based on the gameu27s player performance data that addresses the underestimation and overestimation problems. Second, we present a highly accurate predictive model for player performance as a function of past behavior. Third, we show that playing in groups impacts individual performance and that player-level characteristics alone are insufficient in explaining an individualu27s performance, which calls for a different set of performance metrics methods.