Predictors of match performance in the South African Rugby Union Women's Premier Division

Purpose Performance indicators in women's rugby union are under-researched. The aim of this study was to describe the match activities and determine the predictors for winning/losing and points difference in the South African Rugby Union (SARU) Women's Premier Division competition. Methods During the 2021 and 2022 seasons, SARU-coded matches included 33 indicators (including attacking, defensive, set plays, and error categories) which were analysed for two outcome variables: winning/losing and points difference (points for MINUS points against). Results The results of the study showed that for winning compared to losing, tries (OR = 6.48; p = 0.0001), goal kicking success % (OR = 1.03; p = 0.0245), and dominant tackles % (OR = 1.45; p = 0.0333) increased the odds of winning, whilst yellow cards decreased the odds (OR = 0.27; p = 0.0199). For points difference, Factor 1 (OR = 1.016) including variables related to clean breaks, tries and conversions thereof, were predictive of a larger points difference, whilst Factor 6 (positive tackles, lineout wins; OR = 0.958) favoured a close match/smaller points difference. Conclusion The predictive indicators differed from those found in previous literature. However, there was little to no data available on women's rugby union to compare to, and therefore comparisons were made to men's rugby. More data and studies are required to confirm these findings.

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Publication Details

Journal
International Journal of Sports Science & Coaching
Published
2024-08-12
DOI
https://doi.org/10.1177/17479541241270459
Primary Topic
Sports Performance and Training
Type
article
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article

Predictors of match performance in the South African Rugby Union Women's Premier Division

Candice MacMillan, Clint Readhead, Lynne Cantwell, Willie Maree et al.
International Journal of Sports Science & Coaching
Sports Performance and Training
article

Predictors of match performance in the South African Rugby Union Women's Premier Division

Candice MacMillan, Clint Readhead, Lynne Cantwell, Willie Maree, Sonja Swanevelder, Nicola Sewry, Esmé Jordaan
article en

Abstract

Purpose Performance indicators in women's rugby union are under-researched. The aim of this study was to describe the match activities and determine the predictors for winning/losing and points difference in the South African Rugby Union (SARU) Women's Premier Division competition. Methods During the 2021 and 2022 seasons, SARU-coded matches included 33 indicators (including attacking, defensive, set plays, and error categories) which were analysed for two outcome variables: winning/losing and points difference (points for MINUS points against). Results The results of the study showed that for winning compared to losing, tries (OR = 6.48; p = 0.0001), goal kicking success % (OR = 1.03; p = 0.0245), and dominant tackles % (OR = 1.45; p = 0.0333) increased the odds of winning, whilst yellow cards decreased the odds (OR = 0.27; p = 0.0199). For points difference, Factor 1 (OR = 1.016) including variables related to clean breaks, tries and conversions thereof, were predictive of a larger points difference, whilst Factor 6 (positive tackles, lineout wins; OR = 0.958) favoured a close match/smaller points difference. Conclusion The predictive indicators differed from those found in previous literature. However, there was little to no data available on women's rugby union to compare to, and therefore comparisons were made to men's rugby. More data and studies are required to confirm these findings.

International Journal of Sports Science & CoachingVol. 19(6)
South African Medical Research Council (ZA), University of Cape Town (ZA), Setshaba Research Centre (ZA), University of Pretoria (ZA), University of the Western Cape (ZA)
Openalex Percentile: Top 83%
Sports Performance and Training
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Predictors of match performance in the South African Rugby Union Women's Premier Division — Candice MacMillan, Clint Readhead, et al. · International Journal of Sports Science & Coaching (2024) | TGRS Research Map | TGRS