Literature DB >> 18459361

Home advantage in the Six Nations Rugby Union tournament.

Sion Thomas1, Colin Reeves, Andrew Bell.   

Abstract

This study examined whether home advantage occurred in the Six Nations Rugby Union tournament. Data were gathered using the final championship standings from the tournament's inception in 2000 to the recently completed 2007 season. Home advantage for each championship season was defined as the number of points won by teams playing at home, expressed as a percentage of all points gained either at home or away. An analysis of home advantage for each of eight seasons of competition ranged from 53% (2005) to 70% (2006). There was an overall statistically significant home advantage of 61% for 120 matches played in the Six Nations tournament between 2000 and 2007. Also analysed were the percentage of points won at home by each country. Again, evidence supported home advantage amongst all competing nations regardless of the team's quality.

Mesh:

Year:  2008        PMID: 18459361     DOI: 10.2466/pms.106.1.113-116

Source DB:  PubMed          Journal:  Percept Mot Skills        ISSN: 0031-5125


  5 in total

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Authors:  Miguel Saavedra García; Oscar Gutiérrez Aguilar; Paulo Sa Marques; Gabriel Torres Tobío; Juan J Fernández Romero
Journal:  J Hum Kinet       Date:  2013-10-08       Impact factor: 2.193

2.  The Advantage of Playing Home in NBA: Microscopic, Team-Specific and Evolving Features.

Authors:  Haroldo V Ribeiro; Satyam Mukherjee; Xiao Han T Zeng
Journal:  PLoS One       Date:  2016-03-25       Impact factor: 3.240

3.  Rugby game performances and weekly workload: Using of data mining process to enter in the complexity.

Authors:  Romain Dubois; Noëlle Bru; Thierry Paillard; Anne Le Cunuder; Mark Lyons; Olivier Maurelli; Kilian Philippe; Jacques Prioux
Journal:  PLoS One       Date:  2020-01-29       Impact factor: 3.240

4.  The Behaviour of Home Advantage during the COVID-19 Pandemic in European Rink Hockey Leagues.

Authors:  Jordi Arboix-Alió; Guillem Trabal; Bernat Buscà; Javier Peña; Adrià Arboix; Raúl Hileno
Journal:  Int J Environ Res Public Health       Date:  2021-12-26       Impact factor: 3.390

5.  A Machine Learning Approach to Analyze Home Advantage during COVID-19 Pandemic Period with Regards to Margin of Victory and to Different Tournaments in Professional Rugby Union Competitions.

Authors:  Alexandru Nicolae Ungureanu; Corrado Lupo; Paolo Riccardo Brustio
Journal:  Int J Environ Res Public Health       Date:  2021-12-02       Impact factor: 3.390

  5 in total

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