Setting final target score in T-20 cricket match by the team batting first

Author:

Modekurti Durga Prasad Venkata1

Affiliation:

1. Department of Sciences, Indian Institute of Information Technology Design and Manufacturing Kurnool, Kurnool, Andhra Pradesh, India

Abstract

 The purpose of this paper is to develop a deterministic model for setting the target in T-20 Cricket by the team batting first. Mathematical tools were used in model development. Recursive function and secondary data statistics of T-20 cash rich cricket tournament Indian Premier League (IPL) such as runs scored in different stages, fall wickets in different stages, and type of pitch are used in developing the model. This model was tested at 120 matches held IPL 2016 and 2017. This model had been proved effective by comparing with the models developed earlier. This model can be a useful tool to the stakeholders like coach and captain of the team for adopting better strategy at any stage of the match. For future research, this model can be useful in framing a regulation work by policy makers at both national and international cricket board by deriving the target score during interruptions.

Publisher

IOS Press

Reference34 articles.

1. Performance Analysis of T20-World Cup Cricket 2012;Manage;Sri Lankan Journal of Applied Statistics,2013

2. Predicting the match outcome in one day international cricket matches while the match is in progress;Bailey;Journal of Science and Sports Medicine,2006

3. Impact of Power Play Overs on the Outcome of Twenty20 Cricket Match;Dibyojyoti;Annals of Applied Sport Science,2016

4. Duckworth-Lewis and Twenty20 cricket;Bhattacharya;The Journal of the Operational Research Society,2011

5. Cricket interruptus: fairness and incentive in limited overs cricket matches;Carter;Journal of the Operational Research Society,2004

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