FORECASTING CRICKET PLAYERS PERFORMANCE: UTILIZATION OF TIME SERIES ANALYSIS

Mr. Mehtab Jamal and Dr. Ashwani Saini

ABSTRACT
In recent years, trend analysis has apparently attracted considerable amount of focus in varied professions such as business, marketing and even in sports. Forecasting the future outcome in sports, can play a key role in many aspects of planning and implementation. Despite of the fact that, Cricket is seems to be one of the most unpredictable sports even though forecasting the future performance in cricket can be decisive and can be utilized in players selection, tactics and strategies in a competitions. In the present study time series analysis has been computed to predict the future performance of cricket players. Regression line has been formulated by using past batting performance data of five years from 2014-2018 of selected players of Indian Premier League and forecast has been made for IPL for the year 2019. Result of the study reveals that Virat Khoil will score highest number of run and will also achieve highest strike rate amongst the selected players followed by Shikhar Dhawan, Suresh Raina, M.S. Dhoni, and Rohit Sharma. Forecasting pertaining to Average run rate and strike rate is also framed for all the selected players. It is recommended that these findings can be employed efficiently by coaches, manger, captain and other administrative personal to their advantage in term of many aspects of the sports.
Keywords: Time series analysis, Cricket, Prediction and IPL