A Simulator for Twenty20 Cricket

Author:

Davis Jack1,Perera Harsha1,Swartz Tim B.1

Affiliation:

1. Department of Statistics and Actuarial Science; Simon Fraser University; Burnaby BC V5A1S6 Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference16 articles.

1. Predicting the match outcome in one day international cricket matches while the match is in progress;Bailey;J. Sports Sci. Med.,2006

2. Statistical Models

3. A successful operational research intervention in one-day cricket;Duckworth;J. Oper. Res. Soc.,2004

4. Cricket scores and some skew correlation distributions;Elderton;J. R. Statist. Soc. Ser. A,1945

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1. A truncated mean-parameterized Conway-Maxwell-Poisson model for the analysis of Test match bowlers;Statistical Modelling;2023-09-19

2. Cricket Player Analytics using DAX;International Journal of Advanced Research in Science, Communication and Technology;2023-04-14

3. DynaSim: A Ball-by-Ball Simulation of the Dynamics of an IPL T20 Game;Congress on Smart Computing Technologies;2023

4. In-game winner prediction and winning strategy generation in cricket: A machine learning approach;International Journal of Sports Science & Coaching;2022-12-04

5. Player-aware resource compensation in interrupted cricket matches;PeerJ Computer Science;2022-03-14

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