Effects of collective tactical variables and predictors on the probability of scoring in elite netball
Ryan W. Hodder,
Will G. Hopkins,
Kevin A. Ball and
Fabio R. Serpiello
International Journal of Performance Analysis in Sport, 2023, vol. 23, issue 4, 264-283
Abstract:
In netball, understanding the group behaviours and constraints that can influence the probability of scoring can provide information that impacts the outcome of a match. The aim of this study was to model the effects of collective tactical variables and contextual predictors on scoring probability in elite netball. A local positioning system provided player positions of one team throughout seven national-level netball matches. The positions were analysed to provide mean, variability (standard deviation) and irregularity (normalised approximate entropy) for each attack and defence possession (470 and 423, respectively) for the team and positional subgroups (forwards, midcourts and defenders) for 10 collective tactical variables. The effects of collective tactical variables on the probability of scoring were estimated with a logistic-regression version of the generalised linear mixed model, with adjustment for predictor variables; possession duration, score difference, match time, ladder-points difference, and match number. The home team and opposition team displayed a greater probability of scoring when they were able to maintain possession for longer periods of time, extremely short possessions were associated with decreased scoring probability. Lateral dispersion negatively affected the probability of scoring for both teams, indicating it is more favourable to maintain positioning and ball movement in the middle of the court
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/24748668.2023.2225274 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:rpanxx:v:23:y:2023:i:4:p:264-283
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RPAN20
DOI: 10.1080/24748668.2023.2225274
Access Statistics for this article
International Journal of Performance Analysis in Sport is currently edited by Peter O'Donoghue
More articles in International Journal of Performance Analysis in Sport from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().