Smart kills and worthless deaths: eSports analytics for League of Legends

Gender Inequality in eSports Participation: Examining League of Legends APPROVED BY SUPERVISING COMMITTEE:

Esports Analytics Through Encounter Detection

Esports is computer games played in a competitive environment, and analytics in this domain is focused on player and team behavior. Multiplayer Online Battle Arena (MOBA) games are among the most played digital games in the world. In these games, teams of players fight against each other in enclosed arena environments, with a complex gameplay focused on tactical combat. Here we present a techni...

From Generative to Conventional Play: MOBA and League of Legends

Despite its vast enthusiast community and influence on contemporary game designers, the MOBA (multiplayer online battle arena) remains under-explored by academics. This paper considers many meanings of “well played” reflected in the design, community, and aesthetics of the genre's most popular member, League of Legends. Originating as modifications of commercial RTS (real-time strategy) games, ...

Governance in League of Legends: A hybrid system

Disruptive behaviors such as flaming and griefing are pervasive and problematic in many online venues. Riot Games, the maker of League of Legends, one of the world’s largest multiplayer online games, receives thousands of player complaints about disruptive behavior almost every day. To deal with this situation, they devised the “Tribunal” system, a crowdsourcing system that leverages player nor...

Collective Intelligence in League of Legends Teams_To Submit

Are some teams characteristically smarter than others? Research on both face-to-face and online teams suggests that the answer is "yes." In recent work, we found that teams exhibited a characteristic level of collective intelligence, manifest in their performance across a wide range of tasks and that this measure of collective intelligence predicted future performance on more complex tasks , (E...