Literature DB >> 32028853

Understanding the relative contribution of technical and tactical performance to match outcome in Australian Football.

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


  1 in total

1.  Assessment of Physical, Technical, and Tactical Analysis in the Australian Football League: A Systematic Review.

Authors:  Andrew Vella; Anthea C Clarke; Thomas Kempton; Samuel Ryan; Aaron J Coutts
Journal:  Sports Med Open       Date:  2022-10-08
  1 in total

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