AIMAMar 23, 2023

Presenting Multiagent Challenges in Team Sports Analytics

arXiv:2303.13660v19 citationsh-index: 6
Originality Synthesis-oriented
AI Analysis

It addresses the problem of analyzing complex team sports for coaches and managers by linking them to multiagent systems, but it is incremental as it primarily discusses existing connections without new empirical results.

The paper identifies challenges in team sports analytics, particularly invasion games like hockey and soccer, and correlates them with multiagent systems research to propose mutual benefits for both fields.

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).

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes