dc.contributor.author | Croft, Hayden | |
dc.contributor.author | Wilcox, Bobby | |
dc.contributor.author | Lamb, Peter | |
dc.date.available | 2018-02-21T03:33:28Z | |
dc.date.copyright | 2018-01 | |
dc.identifier.citation | Croft, H., Wilcox, B., & Lamb, P. (2018). Using performance data to identify styles of play in netball: An alternative to performance indicators. International Journal of Performance Analysis in Sport, 17(6), 1034–1043. doi:https://doi.org/10.1080/24748668.2017.1419408 | en |
dc.identifier.uri | http://hdl.handle.net/10523/7862 | |
dc.description.abstract | The advent of sports technology has led to large, high-dimensional, performance data sets, which pose decision-making challenges for coaches and performance analysts. If large data sets are managed poorly inaccurate and biased decision-making may actually be enabled. This paper outlines a process for capturing, organising, and analysing a large performance data set in professional netball. 250 ANZ Championship matches, from the 2012–2015 seasons, where analysed. Self-organising maps and a k-means clustering algorithm were used to describe seven games-styles, which were used in a case study to devise a strategy for an upcoming opponent. The team implemented a centre-pass (CP) defence strategy based on the opponent’s previous successful and unsuccessful performances. This strategy involved allowing the oppositions Wing-attack to receive the CP while allowing their Goal-attack to take the second pass. The strategy was monitored live by the coaches on a tablet computer via a custom-built dashboard, which tracks each component of the strategy. The process provides an alternative to use of conventional performance indicators and demonstrates a method for handling large high-dimensional performance data sets. Further work is needed to identify an ecologically valid method for variable selection. | en_NZ |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en_NZ |
dc.publisher | Taylor & Francis | en_NZ |
dc.relation.ispartof | International Journal of Performance Analysis in Sport | en_NZ |
dc.subject | performance analysis | en_NZ |
dc.subject | netball | en_NZ |
dc.subject | self-organising maps | en_NZ |
dc.subject | performance indicators | en_NZ |
dc.subject | performance data | en_NZ |
dc.subject | dimensionality reduction | en_NZ |
dc.title | Using performance data to identify styles of play in netball: An alternative to performance indicators | en_NZ |
dc.type | Journal Article | en_NZ |
dc.date.updated | 2018-02-21T02:03:31Z | |
otago.school | School of Physical Education | en_NZ |
otago.relation.issue | 6 | en_NZ |
otago.relation.volume | 17 | en_NZ |
dc.identifier.doi | https://doi.org/10.1080/24748668.2017.1419408 | en_NZ |
otago.bitstream.endpage | 1043 | en_NZ |
otago.bitstream.startpage | 1034 | en_NZ |
otago.openaccess | Open | en_NZ |
dc.description.refereed | Peer Reviewed | en_NZ |