Home advantage in EuroLeague basketball Quantifying the interactions between team quality, competitive balance, and season dynamics
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Abstract
Home advantage (HA) remains a persistent phenomenon in elite basketball. This study quantified HA across eight EuroLeague seasons (2016–2025) and examined how team quality (TQ) and competitive balance (CB) influence it. Data from 2,154 regular-season games were obtained from the official EuroLeague website. HA% and home win percentage (HW%) were calculated, while CB was measured using the Standard Deviation Ratio (SDR). TQ was determined using a Two-Step Cluster Analysis based on win percentage (W%), classifying teams into high, medium, or low-quality groups. One-way ANOVA examined seasonal and TQ variation, while Spearman's correlation and multiple regression assessed relationships among the variables. The results showed that EuroLeague teams won 62.9% of home games on average. HA% peaked in 2021–2022 and dropped in 2020–2021, reflecting the impact of pandemic-related spectator restrictions. CB fluctuated moderately, with a notable imbalance in 2018–2019 (CB = 2.17). Regression results showed that TQ significantly predicted HA% (p < .01), with lower-quality teams exhibiting greater HA% effects (B = 10.06, SE = 2.15), whereas CB was not a significant predictor (p = .088). HA remains a consistent structural phenomenon in EuroLeague basketball, more likely due to psychological and situational factors, resilient to changes in league parity.
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References
Allen, M. S., & Jones, M. V. (2014). The "home advantage" in athletic competitions. Curr. Dir. Psychol. Sci.., 23(1), 48-53. https://doi.org/10.1177/0963721413513267
Alonso-Pérez-Chao, E., Martín-Castellanos, A., Nieto-Acevedo, R., Lopez-García, A., Portes, R., & Gómez, M. Á. (2024a). Examining the Role of Fan Support on Home Advantage and Home Win Percentage in Professional Women's Basketball. Percept. Mot. Skills, 131(3), 989-997. https://doi.org/10.1177/00315125241244985
Alonso Pérez-Chao, E., Nieto-Acevedo, R., Scanlan, A. T., López-García, A., Lorenzo, A., & Gómez, M. Á. (2024b). Is there no place like home? Home-court advantage and home win percentage vary according to team sex and ability in Spanish basketball. Int. J. Perform. Anal. Sport, 24(5), 510-517. https://doi.org/10.1080/24748668.2024.2325842
Alonso Perez- Chao E., Portes R., Ribas C., Lorenzo A., Leicht A. S., Gomez M. A., (2023). Impact of Spectators, League, and Team Ability on Home Advantage in Professional European Basketball. Percept. Mot. Skills, 131(1), 177-191. https://doi.org/10.1177/00315125231215710
Alonso, E., Lorenzo, A., Ribas, C., & Gómez, M. Á. (2022). Impact of COVID-19 Pandemic on HOME Advantage in Different European Professional Basketball Leagues. Percept. Mot. Skills, 129(2), 328-342. https://doi.org/10.1177/00315125211072483
American Psychological Association. (2002). Ethical principles of psychologists and code of conduct. Am. Psychol., 57(12), 1060-1073. https://doi.org/10.1037/0003-066X.57.12.1060
Bilalić, M., Gula, B. & Vaci, N. (2021). Home advantage mediated (HAM) by referee bias and team performance during covid. Sci. Rep., (11), 21558. https://doi.org/10.1038/s41598-021-00784-8
Brandes, L., & Franck, E. (2006). How fans may improve competitive balance-an empirical analysis of the German Bundesliga. ISU Working Paper Series, (41), 1-26.
Cabarkapa, D., Deane, M. A., Ciccone, A. B., Jones, G. T., Cabarkapa, D. V., & Fry, A. C. (2023). The home-court advantage in NCAA Division-I men's basketball. J.H.S.E., 18(2), 420-427. https://doi.org/10.14198/jhse.2023.182.13
Cohen, J. (1988). Statistical Power Analysis for the Behavioural Sciences (2nd ed.). New York: Routledge. https://doi.org/10.4324/9780203771587
Courneya, K. S., & Carron, A. V. (1992). The Home Advantage in Sport Competitions: A Literature Review. J. Sport Exerc. Psychol, 14(1), 13-27. https://doi.org/10.1123/jsep.14.1.13
De Angelis, L., & Reade, J. J. (2023). Home advantage and mispricing in indoor sports' ghost games: The case of European basketball. Ann. Oper. Res., 325(1), 391-418. https://doi.org/10.1007/s10479-022-04950-7
Dosseville, F., Edoh, K. P., & Molinaro, C. (2015). Sports officials in home advantage phenomenon: A new framework. Int. J. Sport Exerc. Psychol., 14(3), 250-254. https://doi.org/10.1080/1612197X.2015.1023422
Durmuş, T., & Gülü, M. (2022). Comparison of the home-court performances of successful and unsuccessful teams at Euroleague before and after Covıd-19 pandemic. P.A.S.E., 1(1), 31-40.
Field, A. (2018). Discovering statistics using IBM SPSS Statistics (5th ed.). Sage.
Fort, R. (2017). Competitive balance in North American professional sports. Handbook of Sports Economics Research, 190-206. https://doi.org/10.4324/9781315093178-10
Foteinakis, P. F., Kokkotis, C., Karamousalidis, G., Avloniti, A., Pavlidou, S., Zaras, N., Stampoulis, T., Pantazis, D., Aggelakis, P., Balampanos, D., Liu, J., Laparidis, K., & Chatzinikolaou, A. (2025). From Data to Decisions: Using Explainable Machine Learning to Predict EuroLeague Basketball Outcomes. Applied Sciences, 15(23), 12401. https://doi.org/10.3390/app152312401
Foteinakis, P. F., & Pavlidou, S. P. (2024). Evolution of three-point field goals shooting trends in EuroLeague basketball. Trends in Sport Sciences, 31(4). https://doi.org/10.23829/TSS.2024.31.4-2
Foteinakis, P., Pavlidou, S., & Stavropoulos, N. (2024). Analysis of the effectiveness of different play types in the end of game possessions of close EuroLeague matches. Journal of Human Sport and Exercise, 19(2), 617-630. https://doi.org/10.55860/rj38hm02
Foteinakis, P. F., & Pavlidou, S. P. (2025). A Decade of Evolution: Comparative Analysis of Shooting Trends and Offensive Efficiency in the NBA and EuroLeague. Montenegrin Journal of Sports Science and Medicine, 14(2), 13-19. https://doi.org/10.26773/mjssm.250902
Gasperi, L., Wang, X., Gómez, M. Á., Filho, E., Sampaio, J., & Gong, B. (2025). How different weekly game loads affect performance in elite women's EuroLeague basketball. Int. J. Perform. Anal. Sport., 1-13. https://doi.org/10.1080/24748668.2025.2552584
Góes, D. F., & Almeida, M. B. (2025). Home court advantage is declining in Brazilian National Basketball League. J. Phys. Educ. Sport, 25(5), 1077-1088. https://doi.org/10.7752/jpes.2025.05119
Gómez, M. A., & Pollard, R. (2011). Reduced home advantage for basketball teams from capital cities in Europe. Eur. J. Sport Sci., 11(2), 143-148. https://doi.org/10.1080/17461391.2010.499970
Gómez, M. A., Pollard, R., & Luis-Pascual, J.-C. (2011). Comparison of the Home Advantage in Nine Different Professional Team Sports in Spain. Percept. Mot. Skills, 113(1), 150-156. https://doi.org/10.2466/05.PMS.113.4.150-156
Jamieson, J. P. (2010). The Home Field Advantage in Athletics: A Meta‐Analysis. J. Appl. Soc. Psychol., 40(7), 1819-1848. https://doi.org/10.1111/j.1559-1816.2010.00641.x
Jiménez, J. L., Valido, J., & Jiménez, M. (2025). The Effects of Crowds on Professional European Basketball Teams. J. Sports Econ., 26(4), 377-396. https://doi.org/10.1177/15270025241309831
Karamousalidis, G., Foteinakis, P., Konstantinidis, G., Kifonidis, D., Kourtis-Doulkeridis, A., & Symeonidou, S. (2025). A comparison of three-point shooting effectiveness in the Euroleague and NCAA DI basketball. JHSE, 20(4), 1293-1302. https://doi.org/10.55860/d3bzsf39
Kaufman, L., & Rousseeuw, P. J. (2005). Finding groups in data: An introduction to cluster analysis. John Wiley & Sons. https://doi.org/10.1080/02664763.2023.2220087
Kulenović, T., & Demšar, J. (2024). A quantitative analysis of home advantage in top football and basketball leagues. Electrotechnical Review/Elektrotehniski Vestnik, 91(4), 157-183. Retrieved from [Accessed 2026, 06 March]: http://www.dlib.si
Leite W, Pollard R, Gómez MA. (2021). The home advantage effect in women's sport. In: Gómez-Ruano MA, Pollard R, Lago-Peñas C (Eds.), Home advantage in sports: Causes and the effect on performance, 1st ed. Routledge, 158-171. https://doi.org/10.4324/9781003081456-15
Leite, W., & Diniz da Silva, C. (2022). Can socio-cultural predictors help explain the home advantage gap in European men's and women's football? Soccer & Soc., 24(5), 725-736. https://doi.org/10.1080/14660970.2022.2116012
Leite, W., Silva, C. D. D., & Almeida, C. H. (2025). Impact of crowd support on home advantage in highly attended European professional football teams: a comparison between pre-, during, and post-COVID-19 periods. Int. J. Sport Exerc. Psychol., 1-19. https://doi.org/10.1080/1612197X.2025.2495680
López-García, A., Alonso-Pérez-Chao, E., Navarro Barragán, R. M., & Jiménez-Sáiz, S. L. (2024). Home-Court Advantage and Home Win Percentage in the NBA: An In-Depth Investigation by Conference and Team Ability. Appl. Sci., 14(21), 9989. https://doi.org/10.3390/app14219989
McHill, A. W., & Chinoy, E. D. (2020). Utilizing the National Basketball Association's COVID-19 restart "bubble" to uncover the impact of travel and circadian disruption on athletic performance. Sci. Rep,. 10(1), 21827. https://doi.org/10.1038/s41598-020-78901-2
Nevill, A.M., Holder, R.L. (1999). Home Advantage in Sport. Sports Med., 28(4), 221-236. https://doi.org/10.2165/00007256-199928040-00001
Paulauskas, R., Stumbras, M., Coutinho, D., & Figueira, B. (2022). Exploring the impact of the COVID-19 pandemic in Euroleague Basketball. Front. Psychol., 13, 979518. https://doi.org/10.3389/fpsyg.2022.979518
Pivovarnik, T. P., Lamb, R. P., Zuber, R. A., & Gandar, J. M. (2008). Competitive Balance and Fan Interest in the National Football League. JEEER 9(2). Retrieved from [Accessed 2026, 06 March]: https://www.alliedacademies.org/articles/competitive-balance-and-fan-interest-in-the-national-football-league.pdf
Pojskić, H., Šeparović, V., & Užičanin, E. (2011). Modelling home advantage in basketball at different levels of competition. Acta Kinesiol., 5(1), 25-30.
Pollard, R., & Gómez Ruano, M. Á. (2013). Variations in home advantage in the national basketball leagues of Europe. Rev. Psicol. Deporte, 22(1), 263-266.
Pollard, R., & Gómez, M. Á. (2015a). Comparison of home advantage in college and professional team sports in the United States. Coll. Antropol., 39(3), 583-589.
Pollard, R., & Gómez, M. Á. (2015b). Validity of the established method of quantifying home advantage in soccer. J. Hum. Kinet., 45, 7-8. https://doi.org/10.1515/hukin-2015-0001
Pollard, R., & Gómez, M. A. (2007). Home advantage analysis in different basketball leagues according to team ability. In: Iberian congress on basketball research, 4(1), 61-64.
Pollard, R., & Gómez, M. A. (2014). Comparison of home advantage in men's and women's football leagues in Europe. Eur J Sport Sci., 14, S77-S83. https://doi.org/10.1080/17461391.2011.651490
Pollard, R., & Pollard, G. (2005). Home advantage in soccer: A review of its existence and causes. Int. J. Soccer Sci., 3(1), 28-38.
Pollard, R., Prieto, J., & Gómez, M. Á. (2017). Global differences in home advantage by country, sport and sex. Int. J. Perform. Anal. Sport 17(4), 586-599. https://doi.org/10.1080/24748668.2017.1372164
Schank, T., Voigt, V., & Orthey, C. (2024). During and after COVID-19: What happened to the home advantage in Germany's first football division? ArXiv Preprint arXiv:2411.12509. Retrieved from [Accessed 2026, 06 March]: https://arxiv.org/html/2411.12509v1
Yang, C., & Kolbinger, O. (2024). Exploring premier league clubs performance and home-away differences based on passing network analysis. Int. J. Comput. Sci. Sport, 23(2), 51-61. https://doi.org/10.2478/ijcss-2024-0012