An analysis of best player selection key performance indicator

The case of indian premier league (IPL)

Mayank Khandelwal, Jayant Prakash, Tribikram Pradhan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

IPL is the most celebrated T20 cricket festival in the world in which 8 teams give their best to reach the top team in the tournament. In such a contest there are various players from different nationalities playing for different teams. As we know that only a certain amount of players can play one match, so there is a problem for team management to choose the best combination of players for the match. In this paper, we are calculating the Most Valuable Player (MVP) by using a novel approach, decision tree is used to classify the players into various classes. Further, bipartite cover is used for selection of bowlers, variance analysis is used to find the similarity among players. Finally, genetic algorithm is used to select the best playing eleven. After selecting the best players, we are predicting individual strike rates with total team scores. This paper is going to give them a solution to eliminate non performing players using customized method of their performance analysis in earlier matches, assembling a decent playing eleven for any match using revolutionary methods and deciding batting order in an efficient manner.

Original languageEnglish
Title of host publicationIntelligent Systems Technologies and Applications
PublisherSpringer Verlag
Pages173-190
Number of pages18
Volume384
ISBN (Print)9783319230351
DOIs
Publication statusPublished - 2016
EventInternational Conference on Advances in Computing, Communications and Informatics, ICACCI 2015 - Kerala, India
Duration: 10-08-201513-08-2015

Publication series

NameAdvances in Intelligent Systems and Computing
Volume384
ISSN (Print)2194-5357

Conference

ConferenceInternational Conference on Advances in Computing, Communications and Informatics, ICACCI 2015
CountryIndia
CityKerala
Period10-08-1513-08-15

Fingerprint

Decision trees
Analysis of variance (ANOVA)
Genetic algorithms

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Khandelwal, M., Prakash, J., & Pradhan, T. (2016). An analysis of best player selection key performance indicator: The case of indian premier league (IPL). In Intelligent Systems Technologies and Applications (Vol. 384, pp. 173-190). (Advances in Intelligent Systems and Computing; Vol. 384). Springer Verlag. https://doi.org/10.1007/978-3-319-23036-8_16
Khandelwal, Mayank ; Prakash, Jayant ; Pradhan, Tribikram. / An analysis of best player selection key performance indicator : The case of indian premier league (IPL). Intelligent Systems Technologies and Applications. Vol. 384 Springer Verlag, 2016. pp. 173-190 (Advances in Intelligent Systems and Computing).
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Khandelwal, M, Prakash, J & Pradhan, T 2016, An analysis of best player selection key performance indicator: The case of indian premier league (IPL). in Intelligent Systems Technologies and Applications. vol. 384, Advances in Intelligent Systems and Computing, vol. 384, Springer Verlag, pp. 173-190, International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015, Kerala, India, 10-08-15. https://doi.org/10.1007/978-3-319-23036-8_16

An analysis of best player selection key performance indicator : The case of indian premier league (IPL). / Khandelwal, Mayank; Prakash, Jayant; Pradhan, Tribikram.

Intelligent Systems Technologies and Applications. Vol. 384 Springer Verlag, 2016. p. 173-190 (Advances in Intelligent Systems and Computing; Vol. 384).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Khandelwal M, Prakash J, Pradhan T. An analysis of best player selection key performance indicator: The case of indian premier league (IPL). In Intelligent Systems Technologies and Applications. Vol. 384. Springer Verlag. 2016. p. 173-190. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-319-23036-8_16