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Modelling team performance in soccer using tactical features derived from position tracking data
2021
IMA Journal of Management Mathematics
Decision-makers in soccer routinely assess the tactical behaviour of a team and its opponents both during and after the game to optimize performance. Currently, this assessment is typically driven by notational analysis and observation. Therefore, potential high-impact decisions are often made based on limited or even biased information. With the current study, we aimed to quantitatively assess tactical performance by abstracting a set of spatiotemporal features from the general offensive
doi:10.1093/imaman/dpab006
fatcat:dwwbxuzbazempfgbyytior5p44