Team-based invasion sports such as football, basketball and hockey are similar in the sense that the players are able to move freely around the playing area; and that player and team performance cannot be fully analysed without considering the movements and interactions of all players as a group. State of the art object tracking systems now produce spatio-temporal traces of player trajectories with high definition and high frequency, and this, in turn, has facilitated a variety of research efforts, across many disciplines, to extract insight from the trajectories. We survey recent research efforts that use spatio-temporal data from team sports as input, and involve non-trivial computation. This article categorises the research efforts in a coherent framework and identifies a number of open research questions.
@article{arxiv.1602.06994,
title = {Spatio-Temporal Analysis of Team Sports -- A Survey},
author = {Joachim Gudmundsson and Michael Horton},
journal= {arXiv preprint arXiv:1602.06994},
year = {2017}
}