International Journal of Knowledge Based Computer Systems 7 (1), June 2019, 01-09 http://www.publishingindia.com/ijkbcs/ Context Based Cricket Player Evaluation Using Statistical Analysis Vaibhav Khatavkar1* and Parag Kulkarni2 1Research Scholar and Assistant Professor, Department of Computer Engineering and Information Technology, College of Engineering, Pune, Maharashtra, India. Email:
[email protected] 2Adjunct Professor, Department of Computer Engineering and Information Technology, College of Engineering, Pune, Maharashtra, India. Email:
[email protected] *Corresponding Author Abstract: In business, making decisions on the spot is a is fired for a term the systems computes context vectors and critical task since data is available online. Same applies for gives terms related to the query fired. Deepali extracted named sports. For managers and coaches selection of best fit player entities from a document in order to find theme of a document in the team has to be made. Many times, team managers which is context of a document [13]. have to bid for the players. Many statistical methods are applied in order to evaluate a player for sports, specially, Statistical analysis is instrumental in determining the trends baseball, and football. This paper focuses on Cricket since it and predicting the future results. The sports sector is ultra- has been deprived of good statistical methods. Typically, for dynamic and hence the statistical analysis of sports data is a cricket, Deep Performance Index (DPI) method is used to challenging task at the same time this analysis is a necessity evaluate a player. But it has some limitations. This work aims because creating a strategy against a team or for a tournament to assimilate the best features of the previous approaches demands an in-depth study of opponent team(s) as well as of the and losing the drawbacks.