Abstract
League of Legends is a multiplayer online battle arena game where teams of five players compete against each other. Over the years, players (the crowd) have formed a metagaming strategy, which is widely adopted. This paper questions and answers whether the wisdom of the crowd defined the best strategy. We investigate players' choices of champions (and builds) and their team performance from matches in the North America and Western Europe regions, using the data gathered through the Riot Games official application program interface. We classify team compositions by players' spells and attributes of items, and identify several non-meta strategies that show a consistent advantage over the meta.
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