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dc.contributor.authorCroft, Hayden
dc.contributor.authorWilcox, Bobby
dc.contributor.authorLamb, Peter
dc.date.available2018-02-21T03:33:28Z
dc.date.copyright2018-01
dc.identifier.citationCroft, 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/10.1080/24748668.2017.1419408en
dc.identifier.urihttp://hdl.handle.net/10523/7862
dc.description.abstractThe 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.mimetypeapplication/pdf
dc.language.isoenen_NZ
dc.publisherTaylor & Francisen_NZ
dc.relation.ispartofInternational Journal of Performance Analysis in Sporten_NZ
dc.subjectperformance analysisen_NZ
dc.subjectnetballen_NZ
dc.subjectself-organising mapsen_NZ
dc.subjectperformance indicatorsen_NZ
dc.subjectperformance dataen_NZ
dc.subjectdimensionality reductionen_NZ
dc.titleUsing performance data to identify styles of play in netball: An alternative to performance indicatorsen_NZ
dc.typeJournal Articleen_NZ
dc.date.updated2018-02-21T02:03:31Z
otago.schoolSchool of Physical Educationen_NZ
otago.relation.issue6en_NZ
otago.relation.volume17en_NZ
dc.identifier.doihttps://doi.org/10.1080/24748668.2017.1419408en_NZ
otago.bitstream.endpage1043en_NZ
otago.bitstream.startpage1034en_NZ
otago.openaccessOpenen_NZ
dc.description.refereedPeer Revieweden_NZ
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