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Differentiating the Top English Premier League Football Clubs from the Rest of the Pack: Identifying the Keys to Success

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  • Oberstone Joel

    (University of San Francisco)

Abstract

This paper develops a robust, statistically significant, six independent variable multiple regression model that accounts for the relative success of English Premier League football clubs based on an array of twenty-four pitch actions collected during the 2007-2008 season (p

Suggested Citation

  • Oberstone Joel, 2009. "Differentiating the Top English Premier League Football Clubs from the Rest of the Pack: Identifying the Keys to Success," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 5(3), pages 1-29, July.
    • Handle: RePEc:bpj:jqsprt:v:5:y:2009:i:3:n:10
    DOI: 10.2202/1559-0410.1183
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    References listed on IDEAS

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    1. A D Fitt & C J Howls & M Kabelka, 2006. "Valuation of soccer spread bets," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(8), pages 975-985, August.
    2. Ian McHale & Phil Scarf, 2007. "Modelling soccer matches using bivariate discrete distributions with general dependence structure," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 61(4), pages 432-445, November.
    3. Boulier, Bryan L. & Stekler, H. O., 2003. "Predicting the outcomes of National Football League games," International Journal of Forecasting, Elsevier, vol. 19(2), pages 257-270.
    4. Fiona Carmichael & Dennis Thomas & Robert Ward, 2000. "Team performance: the case of English Premiership football," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 21(1), pages 31-45.
    5. Andersson, Patric & Edman, Jan & Ekman, Mattias, 2005. "Predicting the World Cup 2002 in soccer: Performance and confidence of experts and non-experts," International Journal of Forecasting, Elsevier, vol. 21(3), pages 565-576.
    6. Chris Hope, 2003. "When should you sack a football manager? Results from a simple model applied to the English Premiership," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(11), pages 1167-1176, November.
    7. P. D. Jones & N. James & S. D. Mellalieu, 2004. "Possession as a performance indicator in soccer," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 4(1), pages 98-102, August.
    8. Salwa Ammar & Ronald Wright, 2004. "Comparing the Impact of Star Rookies Carmelo Anthony and Lebron James: An Example on Simulating Team Performances in the NBA League," INFORMS Transactions on Education, INFORMS, vol. 5(1), pages 67-74, September.
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    Cited by:

    1. Oberstone Joel, 2010. "Comparing English Premier League Goalkeepers: Identifying the Pitch Actions that Differentiate the Best from the Rest," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 6(1), pages 1-19, January.
    2. Fischer, Kai & Reade, J. James & Schmal, W. Benedikt, 2022. "What cannot be cured must be endured: The long-lasting effect of a COVID-19 infection on workplace productivity," Labour Economics, Elsevier, vol. 79(C).
    3. Lichter, Andreas & Pestel, Nico & Sommer, Eric, 2017. "Productivity effects of air pollution: Evidence from professional soccer," Labour Economics, Elsevier, vol. 48(C), pages 54-66.
    4. Fiona Carmichael & Dennis Thomas, 2014. "Team performance: production and efficiency in football," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 10, pages 143-165, Edward Elgar Publishing.
    5. Tunaru Radu S & Viney Howard P, 2010. "Valuations of Soccer Players from Statistical Performance Data," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 6(2), pages 1-23, April.
    6. Wu Lucas Y. & Danielson Aaron J. & Hu X. Joan & Swartz Tim B., 2021. "A contextual analysis of crossing the ball in soccer," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 17(1), pages 57-66, March.
    7. Oberstone Joel, 2011. "Comparing Team Performance of the English Premier League, Serie A, and La Liga for the 2008-2009 Season," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(1), pages 1-18, January.
    8. Avila-Cano, Antonio & Owen, P. Dorian & Triguero-Ruiz, Francisco, 2023. "Measuring competitive balance in sports leagues that award bonus points, with an application to rugby union," European Journal of Operational Research, Elsevier, vol. 309(2), pages 939-952.
    9. Hassanniakalager, Arman & Sermpinis, Georgios & Stasinakis, Charalampos & Verousis, Thanos, 2020. "A conditional fuzzy inference approach in forecasting," European Journal of Operational Research, Elsevier, vol. 283(1), pages 196-216.
    10. Kai Fischer & J. James Reade & W. Benedikt Schmal, 2021. "The Long Shadow of an Infection: COVID-19 and Performance at Work," Economics Discussion Papers em-dp2021-17, Department of Economics, University of Reading.
    11. repec:plo:pone00:0172565 is not listed on IDEAS

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