The application of machine learning techniques for predicting match results in team sport: A review

R Bunker, T Susnjak - Journal of Artificial Intelligence Research, 2022 - jair.org
Predicting the results of matches in sport is a challenging and interesting task. In this paper,
we review a selection of studies from 1996 to 2019 that used machine learning for predicting …

[HTML][HTML] An integrated batting performance analytics model for women's cricket using Principal Component Analysis and Gini scores

K Gupta - Decision Analytics Journal, 2022 - Elsevier
Over the years, women cricketers have garnered little media or societal attention. There has
been much research on men's cricket but relatively little on women's cricket. This study aims …

[HTML][HTML] An efficient team prediction for one day international matches using a hybrid approach of CS-PSO and machine learning algorithms

M Ishi, J Patil, V Patil - Array, 2022 - Elsevier
Player classification is vital in cricket since it assists the coach and skipper in determining
individual players' roles in the squad and allocating tasks appropriately. The performance …

Who You Play Affects How You Play: Predicting Sports Performance Using Graph Attention Networks With Temporal Convolution

R Luo, V Krishnamurthy - arXiv preprint arXiv:2303.16741, 2023 - arxiv.org
This study presents a novel deep learning method, called GATv2-GCN, for predicting player
performance in sports. To construct a dynamic player interaction graph, we leverage player …

Game Statistics Forecast Based on Sports Using Machine Learning

IM Devi, S Juliet - … Conference on Circuit Power and Computing …, 2023 - ieeexplore.ieee.org
Cricket is a popular sport worldwide, with millions of fans and players. One of the critical
aspects of cricket is analyzing player statistics to forecast future performances. In order to …

Cricket data analytics: Forecasting T20 match winners through machine learning

S Chakraborty, A Mondal… - International …, 2024 - content.iospress.com
In the ever-evolving world of cricket, the T20 format has captured the imaginations of fans
worldwide, intensifying the anticipation for match outcomes with each passing delivery. This …

A Data-Driven Approach for the Prediction of Team Potential and Result During Cricket Match

S Chakrabarty, S Jana, P Baral - 2024 2nd World Conference …, 2024 - ieeexplore.ieee.org
This is an insightful exploration of data science in the domain of cricket. The paper delves
into the complications of any cricket league and demonstrates how data and statistics from …

Sustainable Consumption: An Approach to Achieve the Sustainable Environment in India

S Dawar, P Kudal, P Dawar, M Soni, P Mahipal… - … Systems: Proceedings of …, 2022 - Springer
In last few years, research on sustainable environment has motivated to unfold the problems
through different marketing and consumption patterns. This claims to provide an alternative …

Game Rules Prediction–Winning Strategies Using Decision Tree Algorithms

A Mansurali, V Harish, S Hussain, R Sharma - International Conference on …, 2022 - Springer
With the availability of extensive data spanning over the years, sports have become an
emerging field of research. The application of analytics in cricket has become prominent …

An End-to-End Machine Learning Model to Predict the First Innings Score in IPL

JVL Helen, A Mansurali, A Sathyan… - … Machine Interaction in …, 2024 - taylorfrancis.com
Sports analytics is a very popular segment. Every modern day sport uses a form of analytics
to analyze either the player performance, training effect, match statistics or match result …