This book focuses on the application of data mining techniques in
cricket. It provides detailed examples of how data mining can be helpful
for decision-making in sports with special reference to cricket,
particularly the quantitative features related to Twenty20 cricket, the
latest and the most popular format of the game. The book highlights the
performance quantification of cricketers (batsmen, bowlers,
all-rounders, and wicket keepers), determining the market valuation of
cricketers based on their on-field performances and the effect of age on
the performance of the cricketers. It also provides a comprehensive
overview of the different aspects of the game where quantitative
techniques are beneficial, and highlights the use of statistical and
data mining tools in analysing sports-related data and objective
decision-making in sports.
The book appeals to a wide readership, including postgraduate students
of statistics/mathematics, data analysts, sports management bodies. It
also offers data miners, such as researchers in statistics, mathematics,
operations research, and computer science ideas for projects.