Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 108

The DOI matches its Crossref record.

How does spectator presence affect football? Home advantage remains in European top-class football matches played without spectators during the COVID-19 pandemic

Wunderlich, Fabian, Weigelt, Matthias, Rein, Robert, Memmert, Daniel·2021·PLOS ONE

Abstract

The present paper investigates factors contributing to the home advantage, by using the exceptional opportunity to study professional football matches played in the absence of spectators due to the COVID-19 pandemic in 2020. More than 40,000 matches before and during the pandemic, including more than 1,000 professional matches without spectators across the main European football leagues, have been analyzed. Results support the notion of a crowd-induced referee bias as the increased sanctioning of away teams disappears in the absence of spectators with regard to fouls (p < .001), yellow cards (p < .001), and red cards (p < .05). Moreover, the match dominance of home teams decreases significantly as indicated by shots (p < .001) and shots on target (p < .01). In terms of the home advantage itself, surprisingly, only a non-significant decrease is found. While the present paper supports prior research with regard to a crowd-induced referee bias, spectators thus do not seem to be the main driving factor of the home advantage. Results from amateur football, being naturally played in absence of a crowd, provide further evidence that the home advantage is predominantly caused by factors not directly or indirectly attributable to a noteworthy number of spectators.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0248590

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 57

  1. KS Courneya, 1992, The home advantage in sport competitions: A literature review, Journal of Sport and Exercise Psychology, 14, 28, 10.1123/jsep.14.1.13 · DOI · Paper page
  2. R Pollard, 2005, Long-term trends in home advantage in professional team sports in North America and England (1876–2003), J Sports Sci, 23, 337, 10.1080/02640410400021559 · DOI · Paper page
  3. R Pollard, 1986, Home advantage in soccer: a retrospective analysis, J Sports Sci, 4, 237, 10.1080/02640418608732122 · DOI · Paper page
  4. JC Moore, 1993, Spectator effect on team performance in college basketball, Journal of Sport Behavior, 16, 77
  5. GA Agnew, 1994, Crowd effects and the home advantage, International Journal of Sport Psychology, 24, 53
  6. B Strauss, 2002, The impact of supportive spectator behavior on performance in team sports, International Journal of Sport Psychology, 33, 372
  7. LD Recht, 1995, Baseball teams beaten by jet lag, Nature, 377, 583, 10.1038/377583a0 · DOI
  8. MB Jones, 2013, The home advantage in individual sports: An augmented review, Psychology of Sport and Exercise, 14, 397, 10.1016/j.psychsport.2013.01.002 · DOI
  9. R Pollard, 2014, Components of home advantage in 157 national football leagues worldwide, International Journal of Sport and Exercise Psychology, 12, 218, 10.1080/1612197X.2014.888245 · DOI
  10. JP Jamieson, 2010, The Home Field Advantage in Athletics: A Meta-Analysis, Journal of Applied Social Psychology, 40, 1819, 10.1111/j.1559-1816.2010.00641.x · DOI
  11. R Pollard, 2008, Home Advantage in Football: A Current Review of an Unsolved Puzzle, TOSSJ, 1, 12, 10.2174/1875399X00801010012 · DOI
  12. AM Nevill, 1999, Home advantage in sport, Sports Medicine, 28, 221, 10.2165/00007256-199928040-00001 · DOI · Paper page
  13. N Neave, 2003, Testosterone, territoriality, and the ‘home advantage’, Physiology & Behavior, 78, 269, 10.1016/S0031-9384(02)00969-1 · DOI · Paper page
  14. GW Russell, 1983, Crowd size and density in relation to athletic aggression and performance, Social Behavior and Personality, 11, 9, 10.2224/sbp.1983.11.1.9 · DOI
  15. SR Bray, 2000, Athletes’ perceptions of the home advantage: An investigation of perceived causal factors, Journal of Sport Behavior, 23
  16. S Wolfson, 2005, Football supporters’ perceptions of their role in the home advantage, J Sports Sci, 23, 365, 10.1080/02640410400021567 · DOI
  17. S Salminen, 1993, The Effect of the Audience on the Home Advantage, Perceptual and Motor Skills, 76, 1123, 10.2466/pms.1993.76.3c.1123 · DOI
  18. C Unkelbach, 2010, Crowd noise as a cue in referee decisions contributes to the home advantage, J Sport Exerc Psychol, 32, 483, 10.1123/jsep.32.4.483 · DOI
  19. C Goumas, 2014, Home advantage and referee bias in European football, Eur J Sport Sci, 14, S243, 10.1080/17461391.2012.686062 · DOI
  20. V Scoppa, 2008, Are subjective evaluations biased by social factors or Are subjective evaluations biased by social factors or connections. An economic analysis of soccer referee decisions, Empirical Economics, 35, 123, 10.1007/s00181-007-0146-1 · DOI
  21. L Garicano, 2005, Favoritism Under Social Pressure, Review of Economics and Statistics, 87, 208, 10.1162/0034653053970267 · DOI
  22. M Sutter, 2004, Favoritism of agents–The case of referees’ home bias, Journal of Economic Psychology, 25, 461, 10.1016/S0167-4870(03)00013-8 · DOI
  23. D Riedl, 2015, Finale furioso: referee-biased injury times and their effects on home advantage in football, J Sports Sci, 33, 327, 10.1080/02640414.2014.944558 · DOI
  24. A Waters, 2002, An examination of the homefield advantage in a professional English soccer team from a psychological standpoint, Football studies, 5, 46
  25. SR Clarke, 1995, Home Ground Advantage of Individual Clubs in English Soccer, The Statistician, 44, 509, 10.2307/2348899 · DOI · Paper page
  26. C Goumas, 2014, Home advantage in Australian soccer, Journal of Science and Medicine in Sport, 17, 119, 10.1016/j.jsams.2013.02.014 · DOI
  27. R Pollard, 2002, Evidence of a reduced home advantage when a team moves to a new stadium, J Sports Sci, 20, 969, 10.1080/026404102321011724 · DOI
  28. MS Mizruchi, 1985, Local Sports Teams and Celebration of Community: A Comparative Analysis of the Home Advantage, The Sociological Quarterly, 26, 507, 10.1111/j.1533-8525.1985.tb00241.x · DOI
  29. RA Hill, 2005, Red enhances human performance in contests, Nature, 435, 293, 10.1038/435293a · DOI · Paper page
  30. MS Allen, 2014, The home advantage over the first 20 seasons of the English Premier League: Effects of shirt colour, team ability and time trends, International Journal of Sport and Exercise Psychology, 12, 10, 10.1080/1612197X.2012.756230 · DOI
  31. Bialkowski A, Lucey P, Carr P, Yue Y, Matthews I. Win at home and draw away: Automatic formation analysis highlighting the differences in home and away team behaviors. Proceedings of 8th Annual MIT Sloan Sports Analytics Conference.; 2014. pp. 1–7.
  32. K Staufenbiel, 2015, Home advantage in soccer—A matter of expectations, goal setting and tactical decisions of coaches, J Sports Sci, 33, 1932, 10.1080/02640414.2015.1018929 · DOI
  33. AM Nevill, 1996, Factors associated with home advantage in English and Scottish soccer matches, J Sports Sci, 14, 181, 10.1080/02640419608727700 · DOI
  34. R Pollard, 2006, Worldwide regional variations in home advantage in association football, J Sports Sci, 24, 231, 10.1080/02640410500141836 · DOI
  35. M Ponzo, 2018, Does the Home Advantage Depend on Crowd Support? Evidence From Same-Stadium Derbies, Journal of Sports Economics, 19, 562, 10.1177/1527002516665794 · DOI
  36. P Pettersson-Lidbom, 2010, Behavior under social pressure: Empty Italian stadiums and referee bias, Economics Letters, 108, 212, 10.1016/j.econlet.2010.04.023 · DOI
  37. J Castellano, 2012, The use of match statistics that discriminate between successful and unsuccessful football teams, Journal of Human Kinetics, 31, 137, 10.2478/v10078-012-0015-7 · DOI
  38. C Lago-Peñas, 2010, Game-Related Statistics that Discriminated Winning, Drawing and Losing Teams from the Spanish Soccer League, J Sports Sci Med, 9, 288
  39. C Lago-Peñas, 2011, Differences in performance indicators between winning and losing teams in the UEFA Champions League, Journal of Human Kinetics, 27, 10.2478/v10078-011-0011-3 · DOI
  40. LM Hvattum, 2010, Using ELO ratings for match result prediction in association football, International Journal of Forecasting, 26, 460, 10.1016/j.ijforecast.2009.10.002 · DOI · Paper page
  41. D Forrest, 2005, Odds-setters as forecasters: The case of English football, International Journal of Forecasting, 21, 551, 10.1016/j.ijforecast.2005.03.003 · DOI
  42. M Spann, 2009, Sports forecasting: a comparison of the forecast accuracy of prediction markets, betting odds and tipsters, J Forecast, 28, 55, 10.1002/for.1091 · DOI
  43. F Wunderlich, 2018, The Betting Odds Rating System: Using soccer forecasts to forecast soccer, PLoS One, 13, e0198668, 10.1371/journal.pone.0198668 · DOI
  44. G Angelini, 2019, Efficiency of online football betting markets, International Journal of Forecasting, 35, 712, 10.1016/j.ijforecast.2018.07.008 · DOI · Paper page
  45. J Goddard, 2004, Forecasting football results and the efficiency of fixed-odds betting, J Forecast, 23, 51, 10.1002/for.877 · DOI
  46. K Staufenbiel, 2018, Learning to be advantaged: The development of home advantage in high-level youth soccer, International Journal of Sport and Exercise Psychology, 16, 36, 10.1080/1612197X.2016.1142463 · DOI
  47. R Pollard, 2014, Comparison of home advantage in men’s and women’s football leagues in Europe, Eur J Sport Sci, 14, S77, 10.1080/17461391.2011.651490 · DOI
  48. D Riedl, 2015, Why the Three-Point Rule Failed to Sufficiently Reduce the Number of Draws in Soccer: An Application of Prospect Theory, J Sport Exerc Psychol, 37, 316, 10.1123/jsep.2015-0018 · DOI
  49. J Spitz, 2020, Video assistant referees (VAR): The impact of technology on decision making in association football referees, J Sports Sci, 1
  50. W Tucker, 2005, Game Location Effects in Professional Soccer: A Case Study, International Journal of Performance Analysis in Sport, 5, 23, 10.1080/24748668.2005.11868325 · DOI
  51. A Anders, 2011, Yellow Cards: Do They Matter, Journal of Quantitative Analysis in Sports, 7, 10.2202/1559-0410.1286 · DOI
  52. H Ruiz, Measuring scoring efficiency through goal expectancy estimation, 149
  53. RF Baumeister, 1984, Paradoxical effects of supportive audiences on performance under pressure: The home field disadvantage in sports championships, Journal of Personality and Social Psychology, 47, 85, 10.1037/0022-3514.47.1.85 · DOI · Paper page
  54. TJ Dohmen, 2008, Do professionals choke under pressure, Journal of Economic Behavior & Organization, 65, 636, 10.1016/j.jebo.2005.12.004 · DOI
  55. V Scoppa, 2021, Social pressure in the stadiums: Do agents change behavior without crowd support, Journal of Economic Psychology, 82, 102344, 10.1016/j.joep.2020.102344 · DOI
  56. AC Constantinou, 2013, Determining the level of ability of football teams by dynamic ratings based on the relative discrepancies in scores between adversaries, Journal of Quantitative Analysis in Sports, 9, 37, 10.1515/jqas-2012-0036 · DOI · Paper page
  57. A Heuer, 2009, Fitness, chance, and myths: an objective view on soccer results, The European Physical Journal B, 67, 445, 10.1140/epjb/e2009-00024-8 · DOI

Cited by

Metadata

Authors
Wunderlich, F., Weigelt, M., Rein, R., & Memmert, D.
Venue
PLOS ONE
Published
2021-03-31
Volume
16
Issue
3
Pages
e0248590
ISSN
1932-6203
Cited by
108
References
0
Language
en

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.