Statistical and Exploratory Data Analysis on Indian Premier League

Authors

  • Erandi K Herath University of Sri Jayewardenapura
  • Udaya Wijenayake Department of Computer Engineering, University of Sri Jayewardenepura

DOI:

https://doi.org/10.31357/contre.v1i1.7386

Keywords:

Indian Premier League, Statistical and Exploratory Data Analysis, Cricket, Optimization

Abstract

The Indian Premier League (IPL) is a prominent professional cricket league in India that commenced in 2008, featuring eight teams representing different cities. With a massive following, particularly among Indian fans, IPL data analysis holds significant importance. This research delves into a comprehensive statistical and exploratory analysis of the IPL dataset, aimed at extracting meaningful insights for informed decision-making within the league. By critically evaluating limitations and challenges, this study offers strategic recommendations to enhance the overall IPL experience. With a focus on teams, players, matches, and umpires, the analysis encompasses over 20 key investigations. It seeks to unveil performance disparities among teams and players, identify patterns in IPL matches, and assess the league's impact on the selection of Indian cricketers for the national team. Moreover, the research presents valuable findings that could optimize the player selection process. The insights gleaned from this extensive IPL dataset analysis can serve as a valuable tool to boost team dynamics and individual player performance.

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Published

2024-05-02