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Ev sahibi avantajı ve maç sonuçları arasındaki ilişki: seyirci büyüklüğünün rolü

Yıl 2025, Cilt: 7 Sayı: 1, 41 - 50
https://doi.org/10.70053/esas.1641098

Öz

Bu çalışma ev sahibi avantajı ile maç sonuçları arasındaki ilişkiyi araştırmayı amaçlamaktadır. Bu amaç doğrultusunda; seyirci büyüklüğünün galibiyet, beraberlik, mağlubiyet ve gol sayıları ile ilişkisi incelenmiştir. Ayrıca, maç lokasyonu çerçevesini doğrulamak için seyirci büyüklüğünün galibiyetler üzerindeki etkisinde atılan gollerin aracılık rolü test edilmiştir. Çalışmanın araştırma tasarımı, nicel araştırma tasarımları arasından kesitsel, ilişkisel ve nedenseldir. İlk olarak, değişkenler arasındaki ilişki araştırılmıştır. Bu amaçla tanımlayıcı istatistikler ve korelasyon kullanılmıştır. Ardından, atılan gol sayısının aracı etkisi Genel Doğrusal Model ile test edilmiştir. Çalışmanın örneklemi 2023-2024 sezonu için Premier Lig (İngiltere), La Liga (İspanya), Serie A (İtalya), Bundesliga (Almanya), Ligue 1 (Fransa), Primeira Liga (Portekiz), Eredivisie (Hollanda) ve Süper Lig (Türkiye) takımlarından oluşmaktadır. Pearson korelasyon analizi, seyirci sayısının galibiyet, beraberlik, mağlubiyet, atılan gol ve yenilen gol sayısı ile anlamlı bir ilişkisi olduğunu göstermektedir. GLM aracılık analizi, seyirci büyüklüğünün kısmi olarak atılan gol sayısı yoluyla galibiyet sayısını artırdığını göstermektedir. Bu çalışma, Avrupa'nın en değerli futbol liglerinde maç lokasyonu çerçevesini desteklemektedir. Sonuç olarak, seyirci büyüklüğü futbolda maç sonuçlarını etkileyen ev sahibi avantajının önemli bir belirleyicisidir.

Kaynakça

  • Ahola, A. (2016). The effects of match results, investor expectations and stock exchange movement for publicly traded football clubs: The case of Manchester United Football Club. [Bachelor dissertation, Helsinki Metropolia University of Applied Sciences]. Theseus.
  • Almeida, C. H., & Volossovitch, A. (2017). Home advantage in Portuguese football: Effects of level of competition and mid-term trends. International Journal of Performance Analysis in Sport, 17(3), 244-255.
  • Armatas, V., & Pollard, R. (2014). Home advantage in Greek football. European Journal of Sport Science, 14(2), 116-122.
  • Boyko, R. H., Boyko, A. R., & Boyko, M. G. (2007). Referee bias contributes to home advantage in English Premiership football. Journal of Sports Sciences, 25(11), 1185-1194.
  • Correia-Oliveira, C. R., & Andrade-Souza, V. A. (2022). Home advantage in soccer after the break due to COVID-19 pandemic: does crowd support matter?. International journal of sport and exercise psychology, 20(4), 1245-1256.
  • Deloitte (2024). Annual Review of Football Finance 2024 (published by Deloitte Sports Business Group). 2024 June.
  • Errico, L., Ferrari, D., Morabito, L., Mosca, A., & Rondinella, S. (2024). Home advantage, crowding, and gender referee: Evidence from major women’s leagues. Journal of Neuroscience, Psychology, and Economics, 17(3-4), 145.
  • Fischer, K., & Haucap, J. (2021). Does crowd support drive the home advantage in professional football? Evidence from German ghost games during the COVID-19 pandemic. Journal of Sports Economics, 22(8), 982-1008.
  • Frick, B., & Semmelroth, D. (2021). The effects of (un) expected match outcomes on stock return: A case study of Borussia Dortmund. International Journal of Sport Finance, 16(4), 167-183.
  • Ghahfarokhi, E. A., Soroush, S., & Hasanbeigi, H. (2022). Investigating the home advantage in the world's prestigious football leagues before and after the outbreak of covid-19. RBFF-Revista Brasileira de Futsal e Futebol, 14(57), 119-129.
  • Goumas, C. (2012). Home advantage and referee bias in European football. European Journal of Sport Science, 14(1), 243-249.
  • Goumas, C. (2014). Home advantage in Australian soccer. Journal of Science and Medicine in Sport, 17(1), 119-123.
  • Goumas, C. (2017). Modelling home advantage for individual teams in UEFA Champions League football. Journal of Sport and Health Science, 6(3), 321-326.
  • Gövdeli, T., & Güngör, A. Y. (2022). Predictors of Crowd Effect in Football: Evidence From Five Major Football Leagues of Europe. Turkish Journal of Sport and Exercise, 24(1), 30-37.
  • Han, B., Yang, L., Pan, P., García-de-Alcaraz, A., Yang, C., & Liu, T. (2022). The influence of removing home advantage on the Chinese Football Super League. BMC Sports Science, Medicine and Rehabilitation, 14(1), 208.
  • İnan, T. (2018). Analyzing the home-field advantage in major european football leagues. Internatıonal Journal of Environmental & Science Education, 13(2), 113-124.
  • Irwin, R. L., Sutton, W. A., & McCarthy, L. M. (2008). Sport promotion and sales management. USA: Human Kinetics.
  • Kämpe, T., & Paulsson, A. (2024). The Unbreakable Bond: A Qualitative Study on the Relationship between Football Fans and Their Clubs. [Master dissertatiton, Lund University]. Lund University Libraries.
  • Krumer, A., Shapir, O. M., & Zou, Y. (2024). The size of the crowd and home advantage in football: Evidence from Chinese Super League. Asian Journal of Sport and Exercise Psychology, 4(3), 82-87.
  • Kumar, C., Srivastava, M., & Thanigan, J. (2025). Influence of fan’s sports identification on their intention to watch eFootball live-streaming: evidence from football audience. Managing Sport and Leisure, 1-23.
  • Lee, J., Kim, J., Kim, H., & Lee, J. S. (2022). A Bayesian approach to predict football matches with changed home advantage in spectator-free matches after the COVID-19 break. Entropy, 24(3), 366.
  • Leite, W. S. (2017). Home advantage: Comparison between the major European football leagues. Athens Journal of Sports, 4(1), 65-74.
  • Leite, W., & Zanetti, M. C. (2024). Analysis of the longitudinal effect of home advantage in the Brazilian Football Championship–Série A. Baltic Journal of Health and Physical Activity, 16(4), 4.
  • Leitner, M. C., Daumann, F., Follert, F., & Richlan, F. (2023). The cauldron has cooled down: a systematic literature review on home advantage in football during the COVID-19 pandemic from a socio-economic and psychological perspective. Management Review Quarterly, 73(2), 605-633.
  • Liu, T., García-De-Alcaraz, A., Zhang, L., & Zhang, Y. (2019). Exploring home advantage and quality of opposition interactions in the Chinese Football Super League. International Journal of Performance Analysis in Sport, 19(3), 289-301.
  • Lyhagen, J. (2025). The home advantage and COVID-19: the crowd support effect on the english football premier league and the championship. Computational Statistics, 1-14.
  • Macedo-Rego, R. C. (2022). The effect of crowd support: home advantage in football is reduced during the Coronavirus disease (COVID-19) pandemic. Behaviour, 159(10), 941-959.
  • McCarrick, D., Bilalic, M., Neave, N., & Wolfson, S. (2021). Home advantage during the COVID-19 pandemic: Analyses of European football leagues. Psychology of Sport and Exercise, 56, 102013.
  • Peeters, T., & van Ours, J. C. (2021). Seasonal home advantage in English professional football; 1974–2018. De Economist, 169(1), 107-126.
  • Pollard, R. (2008). Home advantage in football: A current review of an unsolved puzzle. The Open Sports Sciences Journal, 1, 1-12.
  • Pollard, R., & Armatas, V. (2017). Factors affecting home advantage in football World Cup qualification. International Journal of Performance Analysis in Sport, 17(1-2), 121-135.
  • Rosseel, Y. (2019). lavaan: An R Package for Structural Equation Modeling. Journal of Statistical Software, 48(2), 1-36.
  • Schwartz, B., & Barsky, S. F. (1977). The home advantage. Social Forces, 55(3), 641-661.
  • Seckin, A., & Pollard, R. (2008). Home advantage in Turkish professional soccer. Perceptual and Motor Skills, 107(1), 51-54.
  • Tabachnick, B. G., & Fidell, L. S., (2013). Using multivariate statistics. Boston, MA: Pearson.
  • Talab, R. H., & Mehrsafar, A. H. (2016). An analysis of home advantage in Iranian football super league. International Journal of Sport Exercise and Training Sciences-IJSETS, 2(4), 137-144.
  • Tilp, M., & Thaller, S. (2020). Covid-19 has turned home advantage into home disadvantage in the German Soccer Bundesliga. Frontiers in Sports and Active Living, 2, 593499.
  • Unkelbach, C., & Memmert, D. (2010). Crowd noise as a cue in referee decisions contributes to the home advantage. Journal of Sport and Exercise Psychology, 32(4), 483-498.
  • Van Damme, N., & Baert, S. (2019). Home advantage in European international soccer: Which dimension of distance matters?. Economics, 13(1), 20190050.
  • Gallucci, M. (2020). jAMM: jamovi Advanced Mediation Models. [jamovi module]. Retrieved from https://jamovi-amm.github.io/.
  • IBM Corp. Released 2017. IBM SPSS Statistics for Windows, Version 25.0. Armonk, NY: IBM Corp.
  • R Core Team (2021). R: A Language and environment for statistical computing. (Version 4.0) [Computer software]. Retrieved from https://cran.r-project.org. (R packages retrieved from MRAN snapshot 2021-04-01).
  • Soetaert, K. (2019). diagram: Functions for Visualising Simple Graphs (Networks), Plotting Flow Diagrams. [R package]. Retrieved from https://cran.r-project.org/package=diagram.
  • Sports Reference (2025). Retrieved from https://fbref.com/en/
  • Statista (2024). Leading soccer leagues worldwide 2024, by combined player value (published by Statista Research Department). 2024 May 23.
  • The jamovi project (2021). Jamovi. (Version 2.2) [Computer Software]. Retrieved from https://www.jamovi.org.

The relationship between home advantage and match results: the role of crowd size

Yıl 2025, Cilt: 7 Sayı: 1, 41 - 50
https://doi.org/10.70053/esas.1641098

Öz

This study aims to investigate the relationship between home advantage and match results. In line with this purpose; the relationship of crowd size with the number of wins, draws, losses, and goals was examined. Additionally, the mediator role of goals scored was tested for the effect of crowd size on wins to validate the game location framework. The research design of the study is cross-sectional, correlational, and causal among quantitative research designs. First, the relationship between variables was investigated. For this purpose, descriptive statistics and correlation were used. Then, the mediation effect of the number of goals scored was tested via the General Linear Model (GLM). The sample of study includes Premier League (England), La Liga (Spain), Serie A (Italy), Bundesliga (Germany), Ligue 1 (France), Primeira Liga (Portugal), Eredivisie (Netherlands), and Süper Lig (Türkiye) for the season of 2023-2024. Pearson’s correlation analysis shows that crowd size has a significant relationship with the number of wins, draws, losses, goals scored, and goals conceded. GLM mediation analysis shows that crowd size increases the number of wins via number of goals scored in partial. This study supports the game location framework in the most valuable soccer leagues in Europe. As a consequence, crowd size is an important determinant of home advantage in soccer that affects the match results.

Kaynakça

  • Ahola, A. (2016). The effects of match results, investor expectations and stock exchange movement for publicly traded football clubs: The case of Manchester United Football Club. [Bachelor dissertation, Helsinki Metropolia University of Applied Sciences]. Theseus.
  • Almeida, C. H., & Volossovitch, A. (2017). Home advantage in Portuguese football: Effects of level of competition and mid-term trends. International Journal of Performance Analysis in Sport, 17(3), 244-255.
  • Armatas, V., & Pollard, R. (2014). Home advantage in Greek football. European Journal of Sport Science, 14(2), 116-122.
  • Boyko, R. H., Boyko, A. R., & Boyko, M. G. (2007). Referee bias contributes to home advantage in English Premiership football. Journal of Sports Sciences, 25(11), 1185-1194.
  • Correia-Oliveira, C. R., & Andrade-Souza, V. A. (2022). Home advantage in soccer after the break due to COVID-19 pandemic: does crowd support matter?. International journal of sport and exercise psychology, 20(4), 1245-1256.
  • Deloitte (2024). Annual Review of Football Finance 2024 (published by Deloitte Sports Business Group). 2024 June.
  • Errico, L., Ferrari, D., Morabito, L., Mosca, A., & Rondinella, S. (2024). Home advantage, crowding, and gender referee: Evidence from major women’s leagues. Journal of Neuroscience, Psychology, and Economics, 17(3-4), 145.
  • Fischer, K., & Haucap, J. (2021). Does crowd support drive the home advantage in professional football? Evidence from German ghost games during the COVID-19 pandemic. Journal of Sports Economics, 22(8), 982-1008.
  • Frick, B., & Semmelroth, D. (2021). The effects of (un) expected match outcomes on stock return: A case study of Borussia Dortmund. International Journal of Sport Finance, 16(4), 167-183.
  • Ghahfarokhi, E. A., Soroush, S., & Hasanbeigi, H. (2022). Investigating the home advantage in the world's prestigious football leagues before and after the outbreak of covid-19. RBFF-Revista Brasileira de Futsal e Futebol, 14(57), 119-129.
  • Goumas, C. (2012). Home advantage and referee bias in European football. European Journal of Sport Science, 14(1), 243-249.
  • Goumas, C. (2014). Home advantage in Australian soccer. Journal of Science and Medicine in Sport, 17(1), 119-123.
  • Goumas, C. (2017). Modelling home advantage for individual teams in UEFA Champions League football. Journal of Sport and Health Science, 6(3), 321-326.
  • Gövdeli, T., & Güngör, A. Y. (2022). Predictors of Crowd Effect in Football: Evidence From Five Major Football Leagues of Europe. Turkish Journal of Sport and Exercise, 24(1), 30-37.
  • Han, B., Yang, L., Pan, P., García-de-Alcaraz, A., Yang, C., & Liu, T. (2022). The influence of removing home advantage on the Chinese Football Super League. BMC Sports Science, Medicine and Rehabilitation, 14(1), 208.
  • İnan, T. (2018). Analyzing the home-field advantage in major european football leagues. Internatıonal Journal of Environmental & Science Education, 13(2), 113-124.
  • Irwin, R. L., Sutton, W. A., & McCarthy, L. M. (2008). Sport promotion and sales management. USA: Human Kinetics.
  • Kämpe, T., & Paulsson, A. (2024). The Unbreakable Bond: A Qualitative Study on the Relationship between Football Fans and Their Clubs. [Master dissertatiton, Lund University]. Lund University Libraries.
  • Krumer, A., Shapir, O. M., & Zou, Y. (2024). The size of the crowd and home advantage in football: Evidence from Chinese Super League. Asian Journal of Sport and Exercise Psychology, 4(3), 82-87.
  • Kumar, C., Srivastava, M., & Thanigan, J. (2025). Influence of fan’s sports identification on their intention to watch eFootball live-streaming: evidence from football audience. Managing Sport and Leisure, 1-23.
  • Lee, J., Kim, J., Kim, H., & Lee, J. S. (2022). A Bayesian approach to predict football matches with changed home advantage in spectator-free matches after the COVID-19 break. Entropy, 24(3), 366.
  • Leite, W. S. (2017). Home advantage: Comparison between the major European football leagues. Athens Journal of Sports, 4(1), 65-74.
  • Leite, W., & Zanetti, M. C. (2024). Analysis of the longitudinal effect of home advantage in the Brazilian Football Championship–Série A. Baltic Journal of Health and Physical Activity, 16(4), 4.
  • Leitner, M. C., Daumann, F., Follert, F., & Richlan, F. (2023). The cauldron has cooled down: a systematic literature review on home advantage in football during the COVID-19 pandemic from a socio-economic and psychological perspective. Management Review Quarterly, 73(2), 605-633.
  • Liu, T., García-De-Alcaraz, A., Zhang, L., & Zhang, Y. (2019). Exploring home advantage and quality of opposition interactions in the Chinese Football Super League. International Journal of Performance Analysis in Sport, 19(3), 289-301.
  • Lyhagen, J. (2025). The home advantage and COVID-19: the crowd support effect on the english football premier league and the championship. Computational Statistics, 1-14.
  • Macedo-Rego, R. C. (2022). The effect of crowd support: home advantage in football is reduced during the Coronavirus disease (COVID-19) pandemic. Behaviour, 159(10), 941-959.
  • McCarrick, D., Bilalic, M., Neave, N., & Wolfson, S. (2021). Home advantage during the COVID-19 pandemic: Analyses of European football leagues. Psychology of Sport and Exercise, 56, 102013.
  • Peeters, T., & van Ours, J. C. (2021). Seasonal home advantage in English professional football; 1974–2018. De Economist, 169(1), 107-126.
  • Pollard, R. (2008). Home advantage in football: A current review of an unsolved puzzle. The Open Sports Sciences Journal, 1, 1-12.
  • Pollard, R., & Armatas, V. (2017). Factors affecting home advantage in football World Cup qualification. International Journal of Performance Analysis in Sport, 17(1-2), 121-135.
  • Rosseel, Y. (2019). lavaan: An R Package for Structural Equation Modeling. Journal of Statistical Software, 48(2), 1-36.
  • Schwartz, B., & Barsky, S. F. (1977). The home advantage. Social Forces, 55(3), 641-661.
  • Seckin, A., & Pollard, R. (2008). Home advantage in Turkish professional soccer. Perceptual and Motor Skills, 107(1), 51-54.
  • Tabachnick, B. G., & Fidell, L. S., (2013). Using multivariate statistics. Boston, MA: Pearson.
  • Talab, R. H., & Mehrsafar, A. H. (2016). An analysis of home advantage in Iranian football super league. International Journal of Sport Exercise and Training Sciences-IJSETS, 2(4), 137-144.
  • Tilp, M., & Thaller, S. (2020). Covid-19 has turned home advantage into home disadvantage in the German Soccer Bundesliga. Frontiers in Sports and Active Living, 2, 593499.
  • Unkelbach, C., & Memmert, D. (2010). Crowd noise as a cue in referee decisions contributes to the home advantage. Journal of Sport and Exercise Psychology, 32(4), 483-498.
  • Van Damme, N., & Baert, S. (2019). Home advantage in European international soccer: Which dimension of distance matters?. Economics, 13(1), 20190050.
  • Gallucci, M. (2020). jAMM: jamovi Advanced Mediation Models. [jamovi module]. Retrieved from https://jamovi-amm.github.io/.
  • IBM Corp. Released 2017. IBM SPSS Statistics for Windows, Version 25.0. Armonk, NY: IBM Corp.
  • R Core Team (2021). R: A Language and environment for statistical computing. (Version 4.0) [Computer software]. Retrieved from https://cran.r-project.org. (R packages retrieved from MRAN snapshot 2021-04-01).
  • Soetaert, K. (2019). diagram: Functions for Visualising Simple Graphs (Networks), Plotting Flow Diagrams. [R package]. Retrieved from https://cran.r-project.org/package=diagram.
  • Sports Reference (2025). Retrieved from https://fbref.com/en/
  • Statista (2024). Leading soccer leagues worldwide 2024, by combined player value (published by Statista Research Department). 2024 May 23.
  • The jamovi project (2021). Jamovi. (Version 2.2) [Computer Software]. Retrieved from https://www.jamovi.org.
Toplam 46 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Spor Faaliyetleri Yönetimi
Bölüm Araştırma Makalesi
Yazarlar

Abdullah Yiğit Güngör 0000-0001-8135-7180

Erken Görünüm Tarihi 25 Mart 2025
Yayımlanma Tarihi
Gönderilme Tarihi 17 Şubat 2025
Kabul Tarihi 18 Mart 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 7 Sayı: 1

Kaynak Göster

APA Güngör, A. Y. (2025). The relationship between home advantage and match results: the role of crowd size. Education Science and Sports, 7(1), 41-50. https://doi.org/10.70053/esas.1641098

31711     Education Science and Sports © 2024 by İlyas Görgüt is licensed under Creative Commons Attribution 4.0 International