Indian Premier League Player Selection Model Based on Indian Domestic League Performance
Authors:
- 27 January 2021
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 0277-0282
Abstract
For squad selection in any sports events or tournaments, performance analysis of players at the international level and the domestic level is necessary. In cricket, the Indian Premier League (IPL) is one of the prestigious tournaments in the world. Its teams constitute a diaspora of Indian and foreign players. Hence, it is of utmost importance that only the better performing players get selected. A player's performance can be broadly divided into two major categories in cricket, i.e. batting performance and bowling performance. Our study proposes a unique approach to mark an Indian player possibly suitable for the IPL, based on his performance in Indian domestic tournaments.Keywords
This publication has 10 references indexed in Scilit:
- Prediction of Most Valuable Bowlers of Indian Premier League (IPL)2020
- A Study of Interrelation Between Ratings and User Reviews in Light of ClassificationAdvances in Intelligent Systems and Computing, 2019
- XGBoost2016
- A new Machine Learning based Deep Performance Index for Ranking IPL T20 CricketersInternational Journal of Computer Applications, 2016
- Addressing the Class Imbalance Problem in Medical DatasetsInternational Journal of Machine Learning and Computing, 2013
- Combinatorial Auctions for Player Selection in the Indian Premier League (IPL)Journal of Sports Economics, 2012
- Predicting the Performance of Bowlers in IPL: An Application of Artificial Neural NetworkInternational Journal of Performance Analysis in Sport, 2012
- Applying Novel Resampling Strategies To Software Defect Prediction2007
- SMOTE: Synthetic Minority Over-sampling TechniqueJournal of Artificial Intelligence Research, 2002
- Greedy function approximation: A gradient boosting machine.The Annals of Statistics, 2001