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CRICRATE: A Cricket Match Conduction and Player Evaluation Framework

  • Md. Ashraf Uddin
  • Mahmudul Hasan
  • Sajal Halder
  • Sajeeb Ahamed
  • Uzzal Kumar Acharjee
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 755)

Abstract

Cricket has appeared as one of the most favorite outdoor games in the present world. The cricket players represent a country and create economic, political, and diplomatic relations among nations. The cricket board of a country requires selecting the fittest players for the upcoming team among some good players. We propose an architecture called Cricket Match Conduction and Player Evaluation Framework by developing some algorithms to predict the score of the players as well as the algorithm to evaluate the man of the match in one day or test cricket match. We implemented the framework by Weka and web technology.

Keywords

Player evaluation Cricket Local match Score prediction Man of the match 

Notes

Acknowledgements

This research was partially supported by Academic Innovation Fund, ICT Division, Government of the Peoples Republic of Bangladesh.

References

  1. 1.
    Website [espncrickinfo]. http://www.espncricinfo.com. Accessed 10 Sept 2017
  2. 2.
    Website [highchart]. https://www.highcharts.com. Accessed 25 Sept 2017
  3. 3.
    Website [espncrickinfostatsguruu]Google Scholar
  4. 4.
    Webstie [cricbuzz]. https://en.wikipedia.org/wiki/cricbuzz. Accessed 10 Sept 2017
  5. 5.
    Das, A., Parida, A.R., Srivastava, P.R.: ICC cricket world cup prediction model. In: Information Systems Design and Intelligent Applications, pp. 529–539. Springer (2016)Google Scholar
  6. 6.
    Fenske, M.: Playing the field. Text Perform. Q. 33(3), 220–222 (2013)CrossRefGoogle Scholar
  7. 7.
    Ghansela, S., Negi, A.: Behavior of search engines in popular queries. Indian J. Sci. Technol. 9(38) (2016)Google Scholar
  8. 8.
    SCB GROUP, et al.: Cricbuzz Cricket Scores & News (2015)Google Scholar
  9. 9.
    Kampmark, B.: Australian cricket: the diminishing light. Sport Soc. 16(1), 45–55 (2013)CrossRefGoogle Scholar
  10. 10.
    Raj, K.A.A.D., Padma, P.: Application of association rule mining: a case study on team India. In: 2013 International Conference on Computer Communication and Informatics (ICCCI), pp. 1–6. IEEE (2013)Google Scholar
  11. 11.
    Shah, A., Jha, D., Vyas, J.: Winning and score predictor (wasp) toolGoogle Scholar
  12. 12.
    Singh, T., Singla, V., Bhatia, P.: Score and winning prediction in cricket through data mining. In: 2015 International Conference on Soft Computing Techniques and Implementations (ICSCTI), pp. 60–66. IEEE (2015)Google Scholar
  13. 13.
    Swartz, T.B., Gill, P.S., Muthukumarana, S.: Modelling and simulation for one-day cricket. Can. J. Stat. 37(2), 143–160 (2009)MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Md. Ashraf Uddin
    • 1
  • Mahmudul Hasan
    • 2
  • Sajal Halder
    • 2
  • Sajeeb Ahamed
    • 2
  • Uzzal Kumar Acharjee
    • 2
  1. 1.Internet Commerce Security LabFederation UniversityBallaratAustralia
  2. 2.Department of Computer Science and EngineeringJagannath UniversityDhakaBangladesh

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