Analysing the impact of field conditions, pitch features, and opponent strength on cricket performance: A machine learning approach
Year: 2024
Type: article
Abstract: As cricket's popularity grew, so too did the scrutiny of player performance and team strategies.Analysts and statisticians began examining every aspect of the game, from batting averages to bowling strike rates, in search of patterns and insights.The advent of computer technology revolutionised cricket analysis, enabling researchers to process vast amounts of data and uncover hidden trends [5].Of particular interest in cricket analysis is the prediction of player performance, which involves assessing various factors that influence individual and team outcomes.Elements such as pitch conditions, weather, opposition strength, and player form play crucial roles in determining match results.Historically, cricket pundits relied on intuition and experience to forecast outcomes, but the introduction of Analysing the impact of field conditions, pitch features, and opponent strength on cricket performance: A machine learning approach
Authors: Rameshwari Lokhande, Rawal Awale, Rahul Ingle
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4402921787