ABSTRACT
The experimental analysis is very important for coaches to advice the training and performance of the rugby sevens. In this paper, we present a machine learning based experimental analysis for rugby sevens in China National Games. On the one hand, we introduce a performance indicator dataset of the rugby sevens, which consists of 9 performance indicators. On the other hand, we utilize random forest model to evaluate the importance of the performance indicators. The coaches and analysts can use the presented information for further planning the effective set-play and open-play strategies.
- Bennett M , Bezodis N E , Shearer D A , Predicting performance at the group-phase and knockout-phase of the 2015 Rugby World Cup[J]. European Journal of Sport Science, 2020(2):1-18. https://doi.org/10.1016/j.jsams.2018.08.008Google Scholar
- Mark B , Neil B , Shearer D A , Descriptive Conversion of Performance Indicators in Rugby Union[J]. Journal of Science and Medicine in Sport, 2018, 22:S1440244018305401-.Google Scholar
- Schoeman R , Coetzee D , Schall R . Comparisons of performance indicators between super Rugby and Currie cup competition during 2014 season[J]. South African Journal for Research in Sport, Physical Education and Recreation, 2017, 2017(3933):135-144. https://doi.org/10.1177/1747954118800577Google Scholar
- Hughes A , Barnes A , Churchill S M , Performance indicators that discriminate winning and losing in elite men's and women's Rugby Union[J]. International Journal of Performance Analysis in Sport, 2018:1-11. https://doi.org/10.1080/24748668.2017.1366759Google Scholar
- Coughlan M , Mountifield C , Sharpe S , How they scored the tries: applying cluster analysis to identify playing patterns that lead to tries in super rugby[J]. International Journal of Performance Analysis in Sport, 2019, 19. https://doi.org/10.1080/24748668.2019.1617018Google Scholar
- Sherwood S , Masters R S , Smith T B . Examining deceptive behaviours by attackers in rugby union: The influence of decoy runners on defensive performance[J]. International Journal of Sports ence & Coaching, 2018, 13. https://doi.org/10.1177/1747954118800577Google ScholarCross Ref
- Watson N , Durbach I , Hendricks S , On the validity of team performance indicators in rugby union[J]. International Journal of Performance Analysis in Sport, 2018, 17(4):609-621. https://doi.org/10.1080/24748668.2017.1376998Google ScholarCross Ref
- Schoeman R , Coetzee D , Schall R . Analysis of Super Rugby from 2011 to 2015[J]. International Journal of Performance Analysis in Sport, 2017, 17.Google Scholar
- Vahed Y , Kraak W , Venter R . The effect of the law changes on time variables of the South African Currie Cup Tournament during 2007 and 2013[J]. International Journal of Performance Analysis in Sport, 2014, 13(3):868-885. https://doi.org/10.1177/1747954115624826Google Scholar
- Schoeman R , Coetzee D F . Time-motion analysis : discriminating between winning and losing teams in professional rugby[J]. South African Journal for Research in Sport Physical Education & Recreation, 2014, 36(2):167-178.Google Scholar
- Kraak W J , Welman K E . Ruck-Play as Performance Indicator during the 2010 Six Nations Championship[J]. International journal of Sports Science & Coaching, 2014. https://doi.org/10.1260/1747-9541.9.3.525Google ScholarCross Ref
- Rodrigues M , Passos P . Patterns of Interpersonal Coordination in Rugby Union: Analysis of Collective Behaviours in a Match Situation[J]. Advances in Physical Education, 2013, 3(4):209-214. https://doi.org/10.4236/ape.2013.34034Google ScholarCross Ref
- Gaviglio C M , James N , Crewther B T , Relationship between match statistics, game outcome and pre-match hormonal state in professional rugby union[J]. International Journal of Performance Analysis in Sport, 2013, 13(2):522-534. https://doi.org/10.1080/24748668.2013.11868667Google ScholarCross Ref
- Steven B , Gemma R , Morgan D W . A Retrospective Evaluation Of Team Performance Indicators In Rugby Union[J]. International Journal of Performance Analysis in Sport, 2013, 13(2):461-473.Google ScholarCross Ref
- Bishop L , Barnes A . Performance indicators that discriminate winning and losing in the knockout stages of the 2011 Rugby World Cup[J]. International Journal of Performance Analysis in Sport, 2013, 13(1):149-159(11). https://doi.org/10.1080/24748668.2013.11868638Google ScholarCross Ref
- Hughes M T , MD Hughes, Williams J , Performance indicators in rugby union[J]. Journal of Human Sport and Exercise, 2012, 7(2). https://doi.org/10.23736/S0022-4707.18.08448-7Google ScholarCross Ref
- Correia V , Araujo D , Craig C , Prospective information for pass decisional behavior in rugby union[J]. Human Movement Science, 2011, 30(5):984-997. https://doi.org/10.1016/j.humov.2010.07.008Google ScholarCross Ref
- Correia V , D Araújo, Davids K , Territorial gain dynamics regulates success in attacking sub-phases of team sports[J]. Psychology of Sport and Exercise, 2011, 12(6):662-669. https://doi.org/10.1016/j.psychsport.2011.06.001Google ScholarCross Ref
- Vaz, Luis, Van, Rugby game-related statistics that discriminate between winning and losing teams in IRB and Super twelve close games.[J]. Journal of Sports Science & Medicine, 2010.Google Scholar
- Van Rooyen M K , Diedrick E , Noakes T D . Ruck Frequency as a predictor of success in the 2007 Rugby World Cup Tournament[J]. International Journal of Performance Analysis in Sport, 2010, volume 10(1):33-46(14). https://doi.org/10.1080/24748668.2010.11868499Google ScholarCross Ref
- Malan D D J , Van d B P H . Match analysis of the 2006 Super 14 Rugby Union tournament[J]. African Journal for Physical Health Education Recreation & Dan, 2010.Google Scholar
- Ortega E , Villarejo D , José M Palao. Differences in Game Statistics Between Winning and Losing Rugby Teams in the Six Nations Tournament[J]. Journal of sports science & medicine, 2009, 8(4):523-527.Google Scholar
- Lim E , Lay B , Dawson B , Development of a player impact ranking matrix in Super 14 rugby union[J]. International Journal of Performance Analysis in Sport, 2009, 9(3):354-367. https://doi.org/10.1080/24748668.2009.11868492Google ScholarCross Ref
- James N , Mellalieu S , Jones N . The development of position-specific performance indicators in professional rugby union[J]. Journal of Sports Sciences, 2005, 23(1):63-72. https://doi.org/10.1080/02640410410001730106Google ScholarCross Ref
- Jones N M P , Mellalieu S D , James N . Team performance indicators as a function of winning and losing in rugby union[J]. International Journal of Performance Analysis in Sport, 2004, 4. https://doi.org/10.1080/24748668.2004.11868292Google Scholar
- BRACEWELL, PAUL. Monitoring meaningful rugby ratings[J]. Journal of Sports Sciences, 2003, 21(8):611-620. https://doi.org/10.1080/0264041031000102006Google ScholarCross Ref
Index Terms
- A Machine Learning based Experimental Analysis for Rugby Sevens in China National Games
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