Performance Evaluation of Goalkeepers of the World Cup

Abstract

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Football is a very popular subdivision of sports not only in our country, but also all around the world. The Money spent on football is on a large scale . In spite of this, scientific studies interested in the statistical, economical dimensions and performance evaluation for football are scarce in our country and even around the world. One of the reasons for this is because there is no recording of football statistics in our country. FIFA statistics can be held as a sample in this area. FIFA, holds about fifty different football statistics on the player basis or team level during the World Cup matches. It is obvious there is no debating that the performance of the players one by one and as an entire team is very important.  The aim of this study is to pioneer for how the performance analysis is applied and how we can benefit from the results obtained in football, if the statistics existed. So, displaying the numerical size of defectiveness mathematically helps the trainers and players. On the other hand, the practical adaptation of data envelopment analysis such as the output oriented Charness, Cooper, Rhodes (CCR) and super efficiency Andersen-Petersen (AP) models are tested for a football performance evaluation.

 

 

Key Words: Football, Goalkeeper, Data Envelopment Analysis, Performance evaluation

 

Keywords

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References

1. [1] Deloitte and Touche, “Annual Review of Football Finance”, Deloitte and Touche, Manchester, 2001.
2. [2] D. Haas, M.G. Kocher, M. Sutter, “Measuring efficiency of German Football Teams by Data Envelopment Analysis”. Institute of Public Economics Discussion Papers, University of Sunsbritck, 2001.
3. [3] T. Hoehn, S. Szymanski, “The Americanization of European football”, Economic Policy, vol. 28., 1999.
4. [4] T. Anderson, G. Sharp, “A new measure of baseball batters using DEA”, Annals of Operations Research, Vol. 73, pp.141-155, 1997.
5. [5] F. Carmichel, D.Thomas, “Production and efficiency in team sports: an investigation of rugby league football”, Applied Economics, Vol. 27, pp. 859-869, 1995.
6. [6] J.L. Fizel, M. D’Itri, “Estimating managerial efficiency: the case of Collage basketball coaches”, Journal of Sport Management, Vol. 10, pp. 453-445, 1996.
7. [7] R.A. Hofler, J.E. Payne, “Measuring efficiency in the National Basketball Association”, Economic Letters, Vol. 55, pp. 293-299, 1997.
8. [8] G.W. Scully, “Managerial Efficiency and survivability in professional team sports”, Managerial and Decision Economics, vol. 15, pp. 403-11, 1994.

9. [10] P. Dawson, S. Dopson, “Managerial Efficiency and Human Capital: An Application to English Association Football”, Managerial and Decision Economics, vol.23, pp. 471-486, 2002.
10. [11] F. Carmichel, D. Thomas, R. Ward, “Team performance 2: production and efficiency in English premiership football”, Aberystwyth Research Paper no. 3, 2000.
11. [12] A. Charnes, , W.W. Cooper and E., Rhodes, “Measuring the Efficiency of decision making units”, European Journal of Operational Research, Vol. 2, pp. 429-444, 1978.
12. [13] D. B. Rajiv, J. Surya, N. Ram, “Analysis of trends in technical and allocative efficiency: An application to Texas public school districts”, European Journal of Operational Research, vol. 154, Iss. 2, p.477-491, 2004.
13. [14] G. Shawna, M. Dimitri, V. Vivian, “Competitive effects on teaching hospitals”, European Journal of Operational Research, vol. 154, no 2, pp.515-525, 2004.
14. [15] G. Said, O. Muhittin and R. Arnold, “Data envelopment analysis literature: a bibliography update (1951–2001)”, Socio-Economic Planning Sciences, vol. 38, no. 2-3, pp. 159- 229, 2004.
15. [16] A. Charnes, W. Cooper, A.Y. Lewin, L.M. Seiford, Data Envelopment Analysis: Theory, Methodology and Aplications. Boston: Kluver, 1995.
16. [17] P. Andersen, N.C. Petersen, “A procedure for ranking efficient units in data envelopment analysis”, Management Sciences, vol.39, pp.1261-1264, 1993.
17. [18] http://www.wiso.uni- Dortmund.de/lsfg/or/scheel/ems/.