  This research has developed a statistical modeling procedure to predict
outcomes of future cricket tournaments. Proposed model provides an insight into
the application of stratified survey sampling to the team selection pattern by
incorporating individual players' performance history coupled with Bayesian
priors not only against a particular opposition but also against any cricket
playing nation - full member of International Cricket Council (ICC). A case
study for the next ICC cricket world cup 2023 in India is provided, predictions
are obtained for all participating teams against one another, and simulation
results are discussed. The proposed statistical model is tested on 2020 Indian
Premier League (IPL) season. The model predicted the top three finishers of IPL
2020 correctly, including the winners of the tournament, Mumbai Indians, and
other positions with reasonable accuracy. The method can predict probabilities
of winning for each participating team. This method can be extended to other
cricket tournaments as well.
