The impact of home advantage on performance in UEFA Champions League matches

Authors

  • Haolin Li

DOI:

https://doi.org/10.61173/w3n0fh49

Keywords:

Home advantage, UEFA Champions League, match performance, impact

Abstract

Home field advantage is a common sports phenomenon, and more scholars focus their research on the home field advantage in football. This article takes 160 sets of technical and tactical data from 80 games in the three seasons of the UEFA Champions League from 2021 to 2024 as the research object and uses data statistical methods to conduct a comparative analysis of 18 technical and tactical indicators of the home and away teams in the event and discusses the impact of home advantage on performance in UEFA Champions League matches. The results show: (1) The winning probability of the home team in the UEFA Champions League in the 2021-2024 season is 61% and more than 50%, indicating home field advantage; (2) The performance of the home team in goal-related variables, offensive organization-related variables and defense-related variables is generally better than that of the away team; (3) Four indicators including two goal-related variables, goals and shot on target percentage, and two offensive organization-related variables, possession percentage and crosses, are significant variables that distinguish the performance of the home and away teams.

References

[1] Han Zhe. (2023). Master’s degree in home advantage research in the second leg of the UEFA Champions League and Europa League (dissertation, Southwestern University of Finance and Economics). Master https://link.cnki.net/ doi/10.27412/d.cnki.gxncu. 2023.001633doi:10.27412/d.cnki. gxncu.2023.001633.

[2] Jin Chengji, Zhou Jinghao, Shi Peng & Lu Zhongfan. (2020). Technical characteristics and causes of home advantage in the Chinese Super League. Hubei Sports Technology (06), 519- 524+564.

[3] Liu Hongyou, Yi Qing & Kang Hui. (2014). Discriminant analysis of home advantage in the European Football Champions League. Journal of Wuhan Institute of Physical Education (11), 91-95.doi:10.15930/j.cnki.wtxb.2014.11.017.

[4] Ma Hongyu. (2001). Analysis of away disadvantage in home and away games. Journal of Sports (04), 118-121.doi:10.16237/ j.cnki.cn44-1404/g8.2001.04.042.

[5] Peng Zhaofang, Liu Hongyou & Guowei. (2016). Analysis of the home field advantage of the Chinese Football Super League. Journal of Shenyang Institute of Physical Education (02), 106- 111.

[6] Shi Lei & Wei Jinshui. (2017). Discriminant analysis Dean&Francis of technical indicators of overall home court effect in the 2015-2016 CBA League. Journal of Guangzhou Institute of Physical Education (06), 84-87.doi:10.13830/j.cnki.cn44-1129/ g8.2017.06 .021.

[7] Xie Hongguang, Yin Xiaochuan, Li Zhiqiang. (1998). Research on the home field advantage of my country’s A professional football league. Sports Science (01), 89-94.

[8] Xu Weiqiang & Wang Songyan. (2021). Research on the impact of the absence of live audiences on the home advantage and referee bias in the Premier League. Contemporary Sports Technology (27), 232-235.doi:10.16655/ j.cnki.2095-2813.2105-1579-7372 .

[9] Carron, AV, Loughhead, TM, & Bray, SR (2005). The home advantage in sport competitions: Courneya and Carron’s (1992) conceptual framework a decade later. Journal of sports sciences, 23(4), 395-407.

[10] Castellano, J., Casamichana, D., & Lago, C. (2012). The use of match statistics that discriminate between successful and unsuccessful soccer teams. Journal of human kinetics, 31(2012), 137-147.

[11] Courneya, KS, & Carron, AV (1992). The home advantage in sport competitions: a literature review. Journal of Sport & Exercise Psychology, 14(1).

[12] Lago-Peñas, C., & Lago-Ballesteros, J. (2011). Game location and team quality effects on performance profiles in professional soccer. Journal of sports science & medicine, 10(3), 465.

[13] Lago-Peñas, C., Lago-Ballesteros, J., & Rey, E. (2011). Differences in performance indicators between winning and losing teams in the UEFA Champions League. Journal of human kinetics, 27(2011), 135- 146.

[14] Lago-Peñas, C., Lago-Ballesteros, J., Dellal, A., & Gómez, M. (2010). Game-related statistics that discriminated winning, drawing and losing teams from the Spanish soccer league. Journal of sports science & medicine, 9(2), 288.

[15] Pollard, R. (2008). Home advantage in football: A current review of an unsolved puzzle. The open sports sciences journal, 1(1).

[16] Reilly, T. (2001). Assessment of sports performance with particular reference to field games. European Journal of Sport Science, 1(3), 1-12.

[17] Sampaio, J., Godoy, SI, & Feu, S. (2004). Discriminative power of basketball game-related statistics by level of competition and sex. Perceptual and motor Skills, 99(3_suppl), 1231-1238.

[18] Sampaio, J., Ibáñez, S., Lorenzo, A., & Gómez, M. (2006). Discriminative game-related statistics between basketball starters and nonstarters when related to team quality and game outcome. Perceptual and motor skills, 103( 2), 486-494.

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Published

2024-08-14