| Literature DB >> 32028853 |
Christopher M Young1, Wei Luo2, Paul B Gastin3, Daniel B Dwyer1.
Abstract
The aim of this study was to assess if tactical and technical performance indicators (PIs) could be used in combination to model match outcomes in Australian Football (AF). A database of 101 technical PIs and 14 tactical PIs from every match in the 2009-2016 Australian Football League (AFL) seasons was merged. Two outcome measures Win-loss and Score margin were used as dependent variables. The top 45 ranked technical and tactical PIs from a feature selection process were used to model match outcome using decision tree and Generalised Linear Models (GLMs). Of the top 45 selected features, this included seven tactical PIs. The Win-loss-based Decision tree model achieved a classification accuracy of 89.0% and GLM 93.2%. A Score margin-based GLM achieved a root mean squared error (RMSE) of 6.9 points. A combined approach to the classification of match outcomes provided no improvement in model accuracy compared with previous literature. However, this study has established the relative importance of technical and tactical measures of performance in relation to successful team performance in AF.Keywords: Decision Support Techniques; data Mining; modelling; performance Analysis; tactical Analysis; team Sport; team Structure
Mesh:
Year: 2020 PMID: 32028853 DOI: 10.1080/02640414.2020.1724044
Source DB: PubMed Journal: J Sports Sci ISSN: 0264-0414 Impact factor: 3.337