Cricket team selection using data envelopment analysis

Gholam R. Amin*, Sujeet Kumar Sharma

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

29 Citations (Scopus)


This paper suggests a new method for cricket team selection using data envelopment analysis (DEA). We propose a DEA formulation for evaluation of cricket players in different capabilities using multiple outputs. This evaluation determines efficient and inefficient cricket players and ranks them on the basis of DEA scores. The ranking can be used to choose the required number of players for a cricket team in each cricketing capability. A real dataset, Indian Premier League 4 (IPL 2011), cricket players having various capabilities is used to choose the best cricket team. The proposed method has the advantage of considering multiple factors related to the performance of players in multiple capabilities collected from IPL 4 and aggregates their scores using a linear programming DEA model. This DEA Aggregation gives the scores of players objectively instead of using subjective computations. The proposed DEA method can be used to form a national cricket team from several clubs or a team of top cricketers.

Original languageEnglish
Pages (from-to)S369-S376
JournalEuropean Journal of Sport Science
Issue numberSUPPL.1
Publication statusPublished - Jan 1 2014


  • Cricket
  • Indian Premier League
  • aggregation
  • data envelopment analysis
  • linear programming

ASJC Scopus subject areas

  • Physical Therapy, Sports Therapy and Rehabilitation
  • Orthopedics and Sports Medicine


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