Performance indicators associated with match outcome within the United Rugby Championship.

[1]  J. Pino-Ortega,et al.  Training Design, Performance Analysis, and Talent Identification—A Systematic Review about the Most Relevant Variables through the Principal Component Analysis in Soccer, Basketball, and Rugby , 2021, International journal of environmental research and public health.

[2]  Rory Bunker,et al.  Performance Indicators Contributing To Success At The Group And Play-Off Stages Of The 2019 Rugby World Cup , 2020, Journal of Human Sport and Exercise.

[3]  N. Bezodis,et al.  Predicting performance at the group-phase and knockout-phase of the 2015 Rugby World Cup , 2020, European journal of sport science.

[4]  D. Pyne,et al.  Performance Analysis in Rugby Union: a Critical Systematic Review , 2020, Sports medicine - open.

[5]  N. Bezodis,et al.  Descriptive conversion of performance indicators in rugby union. , 2019, Journal of science and medicine in sport.

[6]  Wilbur J Kraak,et al.  Statistical Review and Match Analysis of Rugby World Cups Finals , 2019, Journal of human kinetics.

[7]  Fadi Thabtah,et al.  A machine learning framework for sport result prediction , 2019, Applied Computing and Informatics.

[8]  D. Amiras,et al.  Changes in northern hemisphere male international rugby union players’ body mass and height between 1955 and 2015 , 2018, BMJ Open Sport & Exercise Medicine.

[9]  Nic James,et al.  Using principal component analysis to develop performance indicators in professional rugby league , 2018, International Journal of Performance Analysis in Sport.

[10]  Qiong Cao,et al.  Optimal Decision Fusion for Urban Land-Use/Land-Cover Classification Based on Adaptive Differential Evolution Using Hyperspectral and LiDAR Data , 2017, Remote. Sens..

[11]  Sarah M. Churchill,et al.  Performance indicators that discriminate winning and losing in elite men’s and women’s Rugby Union , 2017 .

[12]  Will G. Hopkins,et al.  Inter-operator reliability of live football match statistics from OPTA Sportsdata , 2013 .

[13]  Benjamin Haibe-Kains,et al.  mRMRe: an R package for parallelized mRMR ensemble feature selection , 2013, Bioinform..

[14]  Andrew Barnes,et al.  Performance indicators that discriminate winning and losing in the knockout stages of the 2011 Rugby World Cup , 2013 .

[15]  Wilbur Kraak,et al.  Analysis of the effect of alternating home and away field advantage during the Six Nations Rugby Championship , 2012 .

[16]  Fikret S. Gürgen,et al.  A feature selection method based on kernel canonical correlation analysis and the minimum Redundancy-Maximum Relevance filter method , 2012, Expert Syst. Appl..

[17]  L. Vaz,et al.  The importance of rugby game-related statistics to discriminate winners and losers at the elite level competitions in close and balanced games , 2011 .

[18]  J. Sampaio,et al.  Rugby Game-Related Statistics that Discriminate Between Winning and Losing Teams in Irb and Super Twelve Close Games. , 2010, Journal of sports science & medicine.

[19]  José M Palao,et al.  Differences in game statistics between winning and losing rugby teams in the six nations tournament. , 2009, Journal of sports science & medicine.

[20]  Lachlan Mitchell,et al.  Key performance indicators in Australian sub-elite rugby union. , 2019, Journal of science and medicine in sport.

[21]  L. Breiman Random Forests , 2001, Machine Learning.