• Dr. V.R. Dhawale
• K. P. Raghuvanshi
• T. A. Banait
• S M Khaire

Sports prediction is one of the recent growth areas of interest entailing good prediction accuracy. In this study, we have studied several predictive models for predicting the selection of a player. Coaches require models to assess their players, analyze opponent teams, and formulate winning strategies. We applied an approach based on data mining is proposed for result prediction in sports. It was observed that models were constructed based on the performance of teams in past matches, player performance indices, opposition team information, and external factors; therefore, relevant features are engineered to indicate the same. In many real-life sports games, spectators are interested in predicting the outcomes and watching the games to verify their predictions. In this paper, we present a sports data mining approach, which helps discover interesting knowledge and predict outcomes of sports games such as Football, Cricket, Basketball, and Hockey.

Data Mining, Prediction Model, Data Analysis, Big Data.

"EMPIRICAL STUDY OF PREDICTION MODEL IN SPORT DOMAIN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 11, page no.f515-f524, November-2022, Available :http://www.jetir.org/papers/JETIR2211566.pdf

"EMPIRICAL STUDY OF PREDICTION MODEL IN SPORT DOMAIN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 11, page no. ppf515-f524, November-2022, Available at : http://www.jetir.org/papers/JETIR2211566.pdf