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@article{159026,
        author = {Dhananjay Dedhe and Bhushan Ghate and Pushpak Ninave and Nehal Chavhan  and Ashwini Yerlekar},
        title = {IPL Dashboard Web Application},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {11},
        pages = {888-893},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=159026},
        abstract = {Due to time restrictions, consumers are now relying more and more on data-driven ratings to keep up with the latest results and evaluate the performance of their favorite teams. This essay examines IPL-Dashboard, an online application designed to make it simple to analyze the performance changes of distinct teams that behave similarly. For searching and comparing data-driven performance scores of teams, use this web-based tool.
The study's primary focus is on the eight IPL teams that are currently competing, with team runs, wickets, decisions determining who gets to decide who gets to toss, and an analysis of the Duckworth Lewis rule supporting that analysis. The player analysis uses IPL data from 2008 through 2020. The research paper makes an effort to evaluate IPL games using variables like batting team, bowling team, over, ball, bowler in super over, batsman, non-striker, bye runs, leg by runs, bowling runs, wide runs, batsman runs, penalty runs, total runs, extra runs, dismissal kind fielder, player dismissed, and runs across, bye, leg bye, bowling runs, match id, and inning.},
        keywords = {IPL, analysis, Duckworth Lewis rule, data driven, batting, bowling.},
        month = {},
        }