![]() ![]() kill enemies, destroy towers and conquer the enemy base) to win the game. In this popular genre of games, two teams are assembled and face each other, with individuals collaborating with strangers to complete a series of complex, fast-paced tasks (e.g. An example of such ad hoc teams can be found in multiplayer online battle arena (MOBA) games. People are often brought together in temporary ad hoc teams to achieve a common goal before moving on to the next problem, likely with a different team. ![]() Solving today’s complex challenges increasingly calls for collaborating with others. Our findings suggest possible directions for individualized incentives aimed at steering the player’s behaviour and improving team performance. Modelling the short-term performance dynamics allows us to accurately predict when players choose to continue to play or end the session. We also find no significant long-term improvement in the individual performance of most players. Our analysis of player performance in successive matches of a gaming session demonstrates that a player’s success deteriorates over the course of the session, but this effect is mitigated by the player’s experience. Our work examines data from a popular MOBA game, League of Legends, to understand the evolution of individual performance within ad hoc teams. Many popular multiplayer online battle arena (MOBA) video-games adopt this team formation strategy and thus provide a natural environment to study ad hoc teams. Of special interest are ad hoc teams assembled to complete some task. Complex real-world challenges are often solved through teamwork. ![]()
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