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IPL Player Performance Analysis and Auction Decision Support using Data Analytics and Machine Learning
Subject area: Science,Engineering and Technology · Area of research: Sports Analytics & Auction Decision Systems
DOI: https://doi.org/10.64388/IREV9I11-1717854
Abstract
The player auction process in the Indian Premier League is one of the significant factors that impact team building and performance. Auctioning decisions, however, are taken on the basis of limited statistics or judgment. This project is focused on applying concepts related to data analytics in evaluating player performance in IPL, including player vs player statistics and using historical IPL data. Simple machine learning models will be applied to help in making auctioning decisions in IPL in an objective manner.
Keywords
Indian Premier League, Player Performance Analysis, Data Analytics, Auction Decision Support System, Sports Analytics, Venue Classification.
How to cite this paper
@article{1717854,
author = {Sanjay Prabhakaran S, Dr. G Sumathi, B. Sivapandi, Subash T.},
title = {IPL Player Performance Analysis and Auction Decision Support using Data Analytics and Machine Learning},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {11},
pages = {2054-2065},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1717854.pdf},
abstract = {The player auction process in the Indian Premier League is one of the significant factors that impact team building and performance. Auctioning decisions, however, are taken on the basis of limited statistics or judgment. This project is focused on applying concepts related to data analytics in evaluating player performance in IPL, including player vs player statistics and using historical IPL data. Simple machine learning models will be applied to help in making auctioning decisions in IPL in an objective manner.},
keywords = {Indian Premier League, Player Performance Analysis, Data Analytics, Auction Decision Support System, Sports Analytics, Venue Classification. },
month = {May},
doi = {https://doi.org/10.64388/IREV9I11-1717854}
}