2016
DOI: 10.1515/pjst-2016-0014
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Measuring Fielding Performance in Cricket

Abstract: Introduction. In cricket, the evaluation of individual player performance has been based on measures such as batting and bowling averages. These statistics are used to quantify the batting and bowling performance of cricketers, but there are no statistics for measuring the performance of fielders. This paper introduces a measure that can be used to assess the fielding performance of cricketers. Method. Various factors that are considered important in fielding are quantified to scores based on the ball-by-ball … Show more

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Cited by 3 publications
(4 citation statements)
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“…Similarly Palayangoda et al . (2022), Shah (2016), Gupta (2022) and Nicholls et al . (2023) have all studied player performance linking batting strike rates for both men’s and women’s T20 cricket.…”
Section: Literature Reviewmentioning
confidence: 96%
See 1 more Smart Citation
“…Similarly Palayangoda et al . (2022), Shah (2016), Gupta (2022) and Nicholls et al . (2023) have all studied player performance linking batting strike rates for both men’s and women’s T20 cricket.…”
Section: Literature Reviewmentioning
confidence: 96%
“…Similarly Palayangoda et al (2022), Shah (2016), Gupta (2022) and Nicholls et al (2023) have all studied player performance linking batting strike rates for both men's and women's T20 cricket. The importance of batting strike rate has been proven critical in T20 cricket from a winning standpoint (Haq et al, 2020;Houghton, 2010).…”
Section: Importance Of Batting Strike Ratementioning
confidence: 99%
“…Fielding is also an essential aspect of the cricket game. Parag Shah [7] has developed to measure the aggregated fielding performance of each player in ODI and T20 cricket matches. The application of the Social Network Analysis (SNA) quantifies the quality of the player-versus-player score [5].…”
Section: Related Workmentioning
confidence: 99%
“…Fielding is also an essential parameter in cricket sport. Parag Shah has developed to measure the aggregated fielding performance of each player in ODI and T20 cricket matches [6]. The application of machine learning, the artificial neural network is applied to predict the match results [7].…”
Section: Related Workmentioning
confidence: 99%