IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v303y2021i1d10.1007_s10479-021-04094-0.html
   My bibliography  Save this article

When to declare the third innings of a test cricket match?

Author

Listed:
  • Gaurav Deval

    (Indian Institute of Technology)

  • Faiz Hamid

    (Indian Institute of Technology)

  • Mayank Goel

    (Indian Institute of Technology)

Abstract

When to declare the third innings in a test cricket match is a crucial decision directly impacting the outcome of the match. The captain of the side batting in the third innings takes into account factors like lead runs, batting strength of the opposition, favorability of the pitch, approximate number of overs left in the game, etc. to make the decision. The objective of this study is to develop a decision support system for the captain using machine learning algorithms to predict the outcome of a test match at different stages of the match. This will aid the captain to decide when to declare. Several new crucial factors are identified that affect the match outcome. Declaration decisions of past test matches are analyzed using probability functions of win, loss, and draw derived using these models. Previous researches have used only simple regression based techniques to predict the match outcome with low accuracy. Data of 354 test matches from 2008 to 2017 has been used to train and test the algorithms. Support vector machine is found to be the most accurate with an accuracy of 88.8%.

Suggested Citation

  • Gaurav Deval & Faiz Hamid & Mayank Goel, 2021. "When to declare the third innings of a test cricket match?," Annals of Operations Research, Springer, vol. 303(1), pages 81-99, August.
  • Handle: RePEc:spr:annopr:v:303:y:2021:i:1:d:10.1007_s10479-021-04094-0
    DOI: 10.1007/s10479-021-04094-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-021-04094-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10479-021-04094-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. P. E. Allsopp & Stephen R. Clarke, 2004. "Rating teams and analysing outcomes in one‐day and test cricket," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 167(4), pages 657-667, November.
    2. P Scarf & S Akhtar, 2011. "An analysis of strategy in the first three innings in test cricket: declaration and the follow-on," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(11), pages 1931-1940, November.
    3. Philip Scarf & Xin Shi & Sohail Akhtar, 2011. "On the distribution of runs scored and batting strategy in test cricket," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(2), pages 471-497, April.
    4. P Scarf & S Akhtar, 2011. "An analysis of strategy in the first three innings in test cricket: declaration and the follow-on," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(11), pages 1931-1940, November.
    5. Robert Brooks & Robert Faff & David Sokulsky, 2002. "An ordered response model of test cricket performance," Applied Economics, Taylor & Francis Journals, vol. 34(18), pages 2353-2365.
    6. Sohail Akhtar & Philip Scarf & Zahid Rasool, 2015. "Rating players in test match cricket," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(4), pages 684-695, April.
    7. Akhtar, Sohail & Scarf, Philip, 2012. "Forecasting test cricket match outcomes in play," International Journal of Forecasting, Elsevier, vol. 28(3), pages 632-643.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Praveen Puram & Soumya Roy & Deepak Srivastav & Anand Gurumurthy, 2023. "Understanding the effect of contextual factors and decision making on team performance in Twenty20 cricket: an interpretable machine learning approach," Annals of Operations Research, Springer, vol. 325(1), pages 261-288, June.
    2. Praveen Ranjan Srivastava & Prajwal Eachempati & Ajay Kumar & Ashish Kumar Jha & Lalitha Dhamotharan, 2023. "Best strategy to win a match: an analytical approach using hybrid machine learning-clustering-association rule framework," Annals of Operations Research, Springer, vol. 325(1), pages 319-361, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Akhtar, Sohail & Scarf, Philip, 2012. "Forecasting test cricket match outcomes in play," International Journal of Forecasting, Elsevier, vol. 28(3), pages 632-643.
    2. Praveen Puram & Soumya Roy & Deepak Srivastav & Anand Gurumurthy, 2023. "Understanding the effect of contextual factors and decision making on team performance in Twenty20 cricket: an interpretable machine learning approach," Annals of Operations Research, Springer, vol. 325(1), pages 261-288, June.
    3. Moffatt Joanne & Scarf Phil & Passfield Louis & McHale Ian G. & Zhang Kui, 2014. "To lead or not to lead: analysis of the sprint in track cycling," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 10(2), pages 161-172, June.
    4. Lenten, Liam J.A. & Geerling, Wayne & Kónya, László, 2012. "A hedonic model of player wage determination from the Indian Premier League auction: Further evidence," Sport Management Review, Elsevier, vol. 15(1), pages 60-71.
    5. Asif, Muhammad & McHale, Ian G., 2016. "In-play forecasting of win probability in One-Day International cricket: A dynamic logistic regression model," International Journal of Forecasting, Elsevier, vol. 32(1), pages 34-43.
    6. Romain Gauriot & Lionel Page, 2015. "I Take Care of My Own: A Field Study on How Leadership Handles Conflict between Individual and Collective Incentives," American Economic Review, American Economic Association, vol. 105(5), pages 414-419, May.
    7. P Scarf & S Akhtar, 2011. "An analysis of strategy in the first three innings in test cricket: declaration and the follow-on," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(11), pages 1931-1940, November.
    8. Yamini Nekkanti & Dibyojyoti Bhattacharjee, 2020. "Novel Performance Metrics to Evaluate the Duel Between a Batsman and a Bowler," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 45(2), pages 201-211, May.
    9. Oliver G. Stevenson & Brendon J. Brewer, 2021. "Finding your feet: A Gaussian process model for estimating the abilities of batsmen in test cricket," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(2), pages 481-506, March.
    10. Colin Cannonier & Bibhudutta Panda & Sudipta Sarangi, 2015. "20-Over Versus 50-Over Cricket," Journal of Sports Economics, , vol. 16(7), pages 760-783, October.
    11. Chowdhury, Subhasish M. & Jewell, Sarah & Singleton, Carl, 2024. "Can awareness reduce (and reverse) identity-driven bias in judgement? Evidence from international cricket," Journal of Economic Behavior & Organization, Elsevier, vol. 226(C).
    12. Abhinav Sacheti & Ian Gregory-Smith & David Paton, 2016. "Managerial Decision Making Under Uncertainty," Journal of Sports Economics, , vol. 17(1), pages 44-63, January.
    13. Liam J A Lenten & Wayne Geerling & László Kónya, 2010. "A Hedonic Model of Player Wage Determination from the Indian Premier League Auction#," Working Papers 2010.04, School of Economics, La Trobe University.
    14. James Reade, 2018. "Officials and Home Advantage," Economics Discussion Papers em-dp2018-01, Department of Economics, University of Reading.
    15. Subhasis Ray, 2021. "Identification of Research Paradigms for Managing the Cricketing Ecosystem Using Stakeholder Analysis and Text Mining," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 46(3), pages 289-312, August.
    16. Sarah Jewell & J. James Reade & Carl Singleton, 2020. "It's Just Not Cricket: The Uncontested Toss and the Gentleman's Game," Economics Discussion Papers em-dp2020-10, Department of Economics, University of Reading.
    17. Bissoondoyal-Bheenick, Emawtee & Brooks, Robert & Yip, Angela Y.N., 2006. "Determinants of sovereign ratings: A comparison of case-based reasoning and ordered probit approaches," Global Finance Journal, Elsevier, vol. 17(1), pages 136-154, September.
    18. Borooah Vani K & Mangan John E, 2010. "The "Bradman Class": An Exploration of Some Issues in the Evaluation of Batsmen for Test Matches, 1877-2006," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 6(3), pages 1-21, July.
    19. Emawtee Bissoondoyal-Bheenick & Sirimon Treepongkaruna, 2011. "An analysis of the determinants of bank ratings: comparison across ratings agencies," Australian Journal of Management, Australian School of Business, vol. 36(3), pages 405-424, December.
    20. Ajit Karnik, 2010. "Valuing Cricketers Using Hedonic Price Models," Journal of Sports Economics, , vol. 11(4), pages 456-469, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:annopr:v:303:y:2021:i:1:d:10.1007_s10479-021-04094-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.