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Assessing the performance of German Bundesliga football players: a non-parametric metafrontier approach

Author

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  • Torben Tiedemann
  • Tammo Francksen
  • Uwe Latacz-Lohmann

Abstract

This article presents a novel model for evaluating the performance of field players in football. Based upon Data Envelopment Analysis (DEA), we employ a non-concave metafrontier approach that permits estimation of players’ efficiency scores under consideration of their playing positions. The model is applied to a data set of Germany’s premier league football players covering the playing seasons 2002/03 to 2008/09. The results reveal a clear positive relationship between a team’s average player efficiency score and its rank in the league table at the end of the season. In addition, the metafrontier approach is used to identify a footballer’s optimal playing position in the team and to quantify the performance increase from moving to that position. Copyright Springer-Verlag 2011

Suggested Citation

  • Torben Tiedemann & Tammo Francksen & Uwe Latacz-Lohmann, 2011. "Assessing the performance of German Bundesliga football players: a non-parametric metafrontier approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(4), pages 571-587, December.
  • Handle: RePEc:spr:cejnor:v:19:y:2011:i:4:p:571-587
    DOI: 10.1007/s10100-010-0146-7
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    1. Alfons Oude Lansink & Ky–sti Pietola, 2002. "Effciency and productivity of conventional and organic farms in Finland 1994--1997," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 29(1), pages 51-66, March.
    2. Fried, Harold O. & Lambrinos, James & Tyner, James, 2004. "Evaluating the performance of professional golfers on the PGA, LPGA and SPGA tours," European Journal of Operational Research, Elsevier, vol. 154(2), pages 548-561, April.
    3. 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.
    4. Markus Kern & Bernd Süssmuth, 2005. "Managerial Efficiency in German Top League Soccer: An Econometric Analysis of Club Performances On and Off the Pitch," German Economic Review, Verein für Socialpolitik, vol. 6(4), pages 485-506, November.
    5. George Battese & D. Rao & Christopher O'Donnell, 2004. "A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies," Journal of Productivity Analysis, Springer, vol. 21(1), pages 91-103, January.
    6. Bernd Frick & Robert Simmons, 2008. "The impact of managerial quality on organizational performance: evidence from German soccer," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 29(7), pages 593-600.
    7. George E. Battese & D. S. Prasada Rao, 2002. "Technology Gap, Efficiency, and a Stochastic Metafrontier Function," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 1(2), pages 87-93, August.
    8. Isidoro Guzmán & Stephen Morrow, 2007. "Measuring efficiency and productivity in professional football teams: evidence from the English Premier League," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 15(4), pages 309-328, November.
    9. Frick, Bernd & Barros, Carlos Pestana & Prinz, Joachim, 2010. "Analysing head coach dismissals in the German "Bundesliga" with a mixed logit approach," European Journal of Operational Research, Elsevier, vol. 200(1), pages 151-159, January.
    10. Boscá, José E. & Liern, Vicente & Martínez, Aurelio & Sala, Ramøn, 2009. "Increasing offensive or defensive efficiency? An analysis of Italian and Spanish football," Omega, Elsevier, vol. 37(1), pages 63-78, February.
    11. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    12. Carlos Pestana Barros & Bernd Frick & Jose Passos, 2009. "Coaching for survival: the hazards of head coach careers in the German 'Bundesliga'," Applied Economics, Taylor & Francis Journals, vol. 41(25), pages 3303-3311.
    13. Peter Dawson & Stephen Dobson & Bill Gerrard, 2000. "Stochastic Frontiers and the Temporal Structure of Managerial Efficiency in English Soccer," Journal of Sports Economics, , vol. 1(4), pages 341-362, November.
    14. Sala-Garrido Ramon & Liern Carrión Vicente & Martinez Esteve Aurelio & Boscá José E., 2009. "Analysis and Evolution of Efficiency in the Spanish Soccer League (2000/01 - 2007/08)," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 5(1), pages 1-24, January.
    15. Timothy Anderson & Gunter Sharp, 1997. "A new measure of baseball batters using DEA," Annals of Operations Research, Springer, vol. 73(0), pages 141-155, October.
    16. Sueyoshi, Toshiyuki & Ohnishi, Kenji & Kinase, Youichi, 1999. "A benchmark approach for baseball evaluation," European Journal of Operational Research, Elsevier, vol. 115(3), pages 429-448, June.
    17. Carlos Pestana Barros & Stephanie Leach, 2006. "Performance evaluation of the English Premier Football League with data envelopment analysis," Applied Economics, Taylor & Francis Journals, vol. 38(12), pages 1449-1458.
    18. Cooper, W.W. & Ruiz, José L. & Sirvent, Inmaculada, 2009. "Selecting non-zero weights to evaluate effectiveness of basketball players with DEA," European Journal of Operational Research, Elsevier, vol. 195(2), pages 563-574, June.
    19. Barros, Carlos Pestana & Garcia-del-Barrio, Pedro, 2008. "Efficiency measurement of the English football Premier League with a random frontier model," Economic Modelling, Elsevier, vol. 25(5), pages 994-1002, September.
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