Machine Learning Enabled Team Performance Analysis in the Dynamical Environment of Soccer

Machine Learning Enabled Team Performance Analysis in the Dynamical Environment of Soccer

Team sports can be viewed as dynamical systems unfolding in time and thus require tools and approaches congruent to the analysis of dynamical systems. The analysis of the pattern-forming dynamics of player interactions can uncover the clues to underlying tactical behaviour. This study aims to propos...

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Bibliographic Details
Main Authors: Shitanshu Kusmakar, Sergiy Shelyag, Ye Zhu, Dan Dwyer, Paul Gastin, Maia Angelova
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Dynamical systems
network science
distribution entropy
football
Kolmogorov complexity
machine learning
Online Access:https://ieeexplore.ieee.org/document/9085411/

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