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Presenting Multiagent Challenges in Team Sports Analytics (2303.13660v1)

Published 23 Mar 2023 in cs.AI and cs.MA

Abstract: 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).

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Authors (2)
  1. David Radke (6 papers)
  2. Alexi Orchard (2 papers)
Citations (4)

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