Analysis of performance indicators in IPL Twenty20 Cricket from 2015 to 2017
Loading...
Date
2020-01
Authors
Sloane, Surita
Journal Title
Journal ISSN
Volume Title
Publisher
University of the Free State
Abstract
Introduction: Cricket teams practice various batting and bowling strategies when preparing for matches or tournaments. Within the IPLT20 tournament these performance variables are considered as vital due to these variables discriminating between winning and losing teams. All teams participating in the IPLT20 seek a competitive advantage therefore an analysis of performance variables such as boundaries hit by batsmen and runs scored during the power play can be used to predict future success or failure of a cricket team based on the match outcome. Objectives: The purpose of this study was to identify which batting and bowling performance variables correlate with winning and losing teams in the IPLT20 Cricket tournament from 2015-2017. Furthermore, this study is aimed to supply coaches and players with performance outcomes that most significantly influence the winning and losing of an IPLT20 cricket match. Methods: A total of 150 IPLT20 cricket matches between 2015 and 2017 were captured. Six teams were selected for the purpose of this study, namely Delhi Daredevils, Kings XI Punjab, Kolkata Knight Riders, Mumbai Indians, Royal Challengers Bangalore and Sunrisers Hyderabad. These teams all participated in all three season from 2015 to 2017. This will result in 150 matches over the 3 seasons. Measuring Instruments: Retrospective data from the 2015, 2016 and 2017 Indian Premier League Tournament was collected from ESPN Cricinfo website. Data Analysis: A reliable data source for this research was found in Statsguru. Statsguru is ESPN Cricinfo’s cricket statistics maintenance database. The data was then analysed using the SAS Statistical Software (SAS, 2017). Data were analysed separately for the team batting first and for the team batting second. The outcome of the match is a binary variable (win/lose) since drawn matches were excluded from the analysis. The association of the potential predictor variables with the match outcome was analysed using univariate logistic regression, fitting each predictor variable, one at a time. The statistical significance of each predictor variable was tested using an exact test (exact conditional logistic regression); the exact P-value is reported. The analysis was carried out using SAS procedure LOGISTIC (see SAS, 2017). Results: Variables that predict success in T20 cricket differed for teams batting first and second, respectively. The significant predictors of winning an IPLT20 cricket match when batting first were: total runs scored in a match (p=0.0001), total wickets lost in a match (p=<0.0001), and wickets taken in a match (p=<0.0001). The significant predictors of winning an IPLT20 cricket match when batting second were: wickets taken in a match (p=<.0001) and wickets lost in a match (p=<.0001). Conclusions: The results of this study concludes that there are various performance variables such as the influence of a higher total runs scored, wickets taken in a match and wickets lost in a match correlates positively with success in Indian Premier League T20 cricket between teams batting first and second and can be used as success performance predictors. In contrast to other studies, this study focusses on variables in T20 cricket that reflect the performance of the entire team. From this study it can be concluded that batting first has a higher success rate although bowling data such as wickets taken and wickets lost for teams batting second are the most important predictors of winning.
Description
Keywords
Dissertation (M.A. (Exercise and Sport Science ))--University of the Free State, 2020, Batting, Bowling, Indian Premier League, T20, Runs scored, Wickets lost, Wickets taken, Winning