  This paper draws correlations between several challenges and opportunities
within the area of team sports analytics and key research areas within
multiagent systems (MAS). We specifically consider invasion games, defined as
sports where players invade the opposing team's territory and can interact
anywhere on a playing surface such as ice hockey, soccer, and basketball. We
argue that MAS is well-equipped to study invasion games and will benefit both
MAS and sports analytics fields. Our discussion highlights areas for MAS
implementation and further development along two axes: short-term in-game
strategy (coaching) and long-term team planning (management).

Artificial Intelligence;Multiagent Systems