Improvising Bowler Performance with Data Analytics using Cricket ball Informatics

Abstract

In Asian nations cricket is the most popular game to play and watch. Due to the games quick development and demand technology greatly improves both the overall performance of the game and each player. Every day new ideas and technological advancements enhance players ability to make informed decisions analyze statistics and choose how much to pay for games. Business intelligence provides pattern matched information for every player and game moment through extensive data and historical statistics. Nevertheless, very little technical advancements have occurred in cricket coaching which is still conducted in a rather antiquated manner. The finest coaches propose changes in playing techniques based on their knowledge and ability to make decisions based on visual attention to each players game. This capability can be expanded to a higher degree of accuracy and the capacity to see each players areas of weakness with the aid of fast sensor data processing. Since each cricket action lasts only a few hundredths of a second accurately capturing movement is a significant issue. Using transient sensors like gyroscopes and accelerometers the proposed system would analyze bowler performance. Data will be analyzed to determine the direction and angular movement of the ball in order to determine the accuracy of the bowlers performance and to make recommendations for each bowlers improvement through the analytical comparison of data with standards. This will result in teaching cricket at the upcoming. The integration of advanced sensor technology into coaching could transform training sessions into highly tailored experiences addressing each players unique strengths and weaknesses in real time ultimately pushing the sport to new heights of skill and performance. The data gathered from every bowl bat and field action could be fed into sophisticated algorithms that not only analyze current performance but also predict future potential and areas for improvement. For instance motion capture technology could be used to refine a bowler