Extrapolation of One Day International (ODI) Cricket Match’s Consequences

Abstract

A great many fans devour data identified with cricket each day, through media or by watching games. Such expectation action includes a substantial thinking mental interaction that generally summarizes an entire collection of disseminated data, (for example, measurements on players, individual player's exhibition) to figure out who will win and who will lose. In this paper an exemplary has been projected to predict the result of the match. for example expectation of One-Day International (ODI) cricket match result for Indian group in contradiction of all international resistances has been introduced. A great deal of effort has gone into gathering raw data and filtering it for a variety of aspects that might influence the outcome of an ODI cricket match. A few extraordinary methodologies embraced on behalf of database arrangement and characterization model discovering that permit one to foresee the match result with 92% exactness which is far more noteworthy than the slog recently shown. Different Data Mining calculations were applied on various sizes of preparing and testing informational indexes. It was discovered that k-Nearest Neighbors (KNN) outperformed three other well-known characterization calculations (for instance Decision Tree, Naive Bayes, and Linear Regression). The expectation model can be utilized to profit Board of Council for Cricket in India (BCCI) by surveying the benefits of specific systems of play. Besides, cricket examiners, media can likewise utilize the model for pre-match investigation.