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Assessing Professional Tennis Players Using Data Envelopment Analysis (DEA)

Author

Listed:
  • José L. Ruiz
  • Diego Pastor
  • Jesús T. Pastor

Abstract

The authors assess the performance of professional tennis players from the perspective of the efficiency of their game using data envelopment analysis (DEA). This research can complement the information provided by the Association of Tennis Professionals (ATP) ranking, which is concerned with their competitive performance. The DEA provides an index of the overall performance of players by aggregating the ATP statistics regarding the different aspects of the game. The DEA benchmarking analysis also allows identifying strengths and weaknesses of the game of the players. To the ranking of players, the authors use the cross-efficiency evaluation, which assesses the players in a peer evaluation with different patterns of game.

Suggested Citation

  • José L. Ruiz & Diego Pastor & Jesús T. Pastor, 2013. "Assessing Professional Tennis Players Using Data Envelopment Analysis (DEA)," Journal of Sports Economics, , vol. 14(3), pages 276-302, June.
    • Handle: RePEc:sae:jospec:v:14:y:2013:i:3:p:276-302
    DOI: 10.1177/1527002511421952
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    References listed on IDEAS

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    Cited by:

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    2. Chen, Kun & Song, Yao-yao & Pan, Jiao-feng & Yang, Guo-liang, 2020. "Measuring destocking performance of the Chinese real estate industry: A DEA-Malmquist approach," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    3. Sylvain Béal & Sylvain Ferrières & Eric Rémila & Phillippe Solal, 2016. "An axiomatization of the iterated h-index and applications to sport rankings," Working Papers 2016-11, CRESE.
    4. Singh, Sanjeet, 2016. "Evaluation of world’s largest social welfare scheme: An assessment using non-parametric approach," Evaluation and Program Planning, Elsevier, vol. 57(C), pages 16-29.
    5. Qing Zhu & Renxian Zuo & Yuze Li & Shan Liu, 2021. "A system evaluation of NBA rookie contract execution efficiency with stacked Autoencoder and hybrid DEA," Operational Research, Springer, vol. 21(4), pages 2771-2807, December.
    6. Bozóki, Sándor & Csató, László & Temesi, József, 2016. "An application of incomplete pairwise comparison matrices for ranking top tennis players," European Journal of Operational Research, Elsevier, vol. 248(1), pages 211-218.
    7. Ester Gutiérrez & Sebastián Lozano, 2020. "Benchmarking Formula One auto racing circuits: a two stage DEA approach," Operational Research, Springer, vol. 20(4), pages 2059-2083, December.
    8. José L. Ruiz & Inmaculada Sirvent, 2017. "Fuzzy cross-efficiency evaluation: a possibility approach," Fuzzy Optimization and Decision Making, Springer, vol. 16(1), pages 111-126, March.
    9. Zbranek, Peter, 2013. "Data Envelopment Analysis as a Tool for Evaluation of Employees’ Performance," Acta Oeconomica et Informatica, Faculty of Economics and Management, Slovak Agricultural University in Nitra (FEM SPU), vol. 16(1), pages 1-10, February.
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