Is home-field advantage driven by the fans? Evidence from across the ocean

Anders, Anne; Rotthoff, Kurt W.

doi:10.1080/13504851.2014.914139

Cited by 14 publications

(9 citation statements)

References 7 publications

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“…Furthermore, the effect difference between the divisions remind us that the home advantage varies in multiple dimensions, such as geographically (Anders & Rotthoff, 2014; Pollard & Pollard, 2005) and demographically (Staufenbiel et al, 2018). Hence, our results from German professional football may differ from other leagues or amateur matches.…”

Section: Discussionmentioning

confidence: 99%

Does Crowd Support Drive the Home Advantage in Professional Football? Evidence from German Ghost Games during the COVID-19 Pandemic

Fischer

Haucap

2021

Journal of Sports Economics

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This paper examines the relation between crowd support and home advantage in men’s professional football in making use of a unique “natural experiment” induced by restrictions due to the COVID-19 pandemic: the so-called ghost games in the top three German football divisions at the end of the 2019/2020 season. We find that there is a reduced home advantage in the first division, whereas no change is observed in the second and third divisions. Our regression analysis indicates that the decrease in the home advantage and the heterogeneity across divisions are not sensitive to a variety of performance, location, and team covariates and are best explained through the lower occupancy rate in the stadia. Hence, the decrease in occupancy to zero at the ghost games has been less dramatic for teams that have been used to low occupancy rates. We cannot find strong evidence for a change in referee behavior or teams’ tactics as main impact channels of occupancy rates on the home advantage. Hence, we argue that psychological reasons are of higher importance.

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Section: Discussionmentioning

confidence: 99%

Does Crowd Support Drive the Home Advantage in Professional Football? Evidence from German Ghost Games during the COVID-19 Pandemic

Fischer

Haucap

2021

Journal of Sports Economics

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“…The study does not address why certain types of shots matter more to the home advantage–the granularity of the data does not permit this level of analysis–but we speculate that 2P shots are more likely to be contested than 3P shots and are therefore more likely to be subject to referee bias from the home crowd [1, 3, 9–10]. Following this idea, free throw attempts (FTA) serve as a reasonable proxy for the number of fouls called by referees in a game.…”

Section: Discussionmentioning

confidence: 99%

“…Academics have observed it in nearly all team sports. Some attribute this phenomenon to crowd noise [1–4], where rowdier crowds increase the advantage for the home team, possibly influencing referees in the process [1, 3]. Others attribute it to fatigue from away travels [5], familiarity with one’s own facilities [6], rest between games [7], referee bias [1, 8–9], and altitude [10].…”

Section: Introductionmentioning

confidence: 99%

NBA team home advantage: Identifying key factors using an artificial neural network

Harris

Roebber

2019

PLoS ONE

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What determines a team’s home advantage, and why does it change with time? Is it something about the rowdiness of the hometown crowd? Is it something about the location of the team? Or is it something about the team itself, the quality of the team or the styles it may or may not play? To answer these questions, season performance statistics were downloaded for all NBA teams across 32 seasons (83–84 to 17–18). Data were also obtained for other potential influences identified in the literature including: stadium attendance, altitude, and team market size. Using an artificial neural network, a team’s home advantage was diagnosed using team performance statistics only. Attendance, altitude, and market size were unsuccessful at improving this diagnosis. The style of play is a key factor in the home advantage. Teams that make more two point and free-throw shots see larger advantages at home. Given the rise in three-point shooting in recent years, this finding partially explains the gradual decline in home advantage observed across the league over time.

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“…In this regard, the presence of crowd noise influenced referees' decisions to favor the home team, observed by Nevill, Balmer, and Williams (18). Anders and Rotthoff showed that the home advantage was greater in teams with greater prospect of fan violence (23). However, the dynamics still need exploration.…”

Section: Introductionmentioning

confidence: 98%

The Effect of Crowd Support on Home-Field Advantage: Evidence from European Football

Inan

2020

Ann Appl Sport Sci

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Background. Home field advantage exists in all professional games including professional football. Studies have revealed persistent home advantage across countries and divisions. Although crowd effects have regularly been cited as one of the potential causes of home advantage, the effect of crowd size and crowd density on home advantage has not been demonstrated in any football league. Objectives. The aim of this study was to demonstrate this effect using a new theoretical framework and binary logistic regression. Methods. Data collected for four seasons of five major European Leagues was processed. For this reason, 4 seasons and n = 8530 matches were analyzed starting from 2015 to 2019. Results. The model results suggest the presence of home-field advantage for all major European Leagues with varying degrees and varying shares attributable to the crowd support and crowd density. Conclusion. In the present study, it was found that crowd support and crowd density are of great importance for home-field advantage.

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Is home-field advantage driven by the fans? Evidence from across the ocean

Cited by 14 publications

References 7 publications

Does Crowd Support Drive the Home Advantage in Professional Football? Evidence from German Ghost Games during the COVID-19 Pandemic

Does Crowd Support Drive the Home Advantage in Professional Football? Evidence from German Ghost Games during the COVID-19 Pandemic

NBA team home advantage: Identifying key factors using an artificial neural network

The Effect of Crowd Support on Home-Field Advantage: Evidence from European Football

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