Resource estimation in T20 cricket

Perera, Harsha; Swartz, Tim B.

doi:10.1093/imaman/dpr020

Cited by 12 publications

(7 citation statements)

References 7 publications

(6 reference statements)

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“…Another measure that can also be used is the percentage of resources used (indicated by RU). The Duckworth/Lewis [14] table for one-day matches and the table for Twenty20 matches [15] give the percentage of resources left at the end of each over depending on the number of wickets lost. Subtract this from 100 to obtain RU, which indicates the percentage of resources used.…”

Section: Methodsmentioning

confidence: 99%

A Method to Measure Choking in Cricket

Lemmer

2015

International Journal of Sports Science & Coaching

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Choking in cricket occurs when a team that had been strongly favoured to win loses or a team squanders a large lead late in the match. The objective of this study is to develop a measure that can be used to quantify the phenomenon of choking. By using the required run rate and the resources used (according to the Duckworth/Lewis system) at the end of each over, a measure is defined as the product of these two quantities. This product is plotted against the number of overs bowled. When choking starts, the curve bends upward with slope according to the severity of choking. A measure of choking is then based on the ratio of the slope of the right hand part of the curve to that of its initial part. It is shown that the measure serves its purpose very well. This type of choking is described as ‘typical’ choking. If the slope of the curve remains more or less constant or if the curve bends downwards and the team loses, other terms like ‘panic’ choking and ‘strangling’ are used.

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Section: Methodsmentioning

confidence: 99%

A Method to Measure Choking in Cricket

Lemmer

2015

International Journal of Sports Science & Coaching

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“…For details about the Duckworth-Lewis method, refer to Duckworth and Lewis (1998). Perera and Swartz (2013) also has an insightful discussion about using Furthermore, it presents the data analysis and results.…”

Section: Introductionmentioning

confidence: 99%

Predicting the winning percentage of limited-overs cricket using the Pythagorean formula

Senevirathne

Manage

2021

JSA

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The Pythagorean Win-Loss formula can be effectively used to estimate winning percentages for sporting events. This formula was initially developed by baseball statistician Bill James and later was extended by other researchers to sports such as football, basketball, and ice hockey. Although one can calculate actual winning percentages based on the outcomes of played games, that approach does not take into account the margin of victory. The key benefit of the Pythagorean formula is its utilization of actual average runs scored and actual average runs allowed. This article presents the application of the Pythagorean Win-Loss formula to two different types of limited-overs cricket formats, namely One Day International cricket (ODI) and Twenty20 cricket. The data for the application was used from the matches played by the top 10 International Cricket Council (ICC) members who participated in the 2019 ICC Cricket World Cup. For matches for which the second batting team won, runs scored were estimated by considering the remaining amount of resources, based on the Duckworth–Lewis method.

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“…There are a number of other papers which have analysed at least one version of cricket. Some recent papers include Scarf & Shi (2005), , , Akhtar & Scarf (2012), Perera & Swartz (2012), Davis et al (2015) and Akhtar et al (2015). Each of these papers also has numerous references of interest to those in analysing cricket.…”

Section: Introductionmentioning

confidence: 99%

Using Bradley–Terry models to analyse test match cricket

Dewart

Gillard

2018

IMA Journal of Management Mathematics

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In this paper we investigate the use of Bradley-Terry models to analyse test match cricket. Specifically, we develop a new and alternative team ranking and compare our rankings with those produced by the International Cricket Council, we forecast the outcomes of a selected number of test cricket matches and show that our predictions perform well compared to bookmaker predictions. We offer ratings of individual players and use these ratings to predict the results of some recent matches. The general purpose of the paper is to illustrate the potential of Bradley-Terry models, which are effectively models of P(i is preferred to j), and thus can be applied in a number of settings where there are paired comparisons. Popular applications include analysing taste test experiments and modelling sports competitions. More creative examples of applications include statistical modelling of citation exchange among statistics journals, predicting the fighting ability of lizards and estimating driver crash risks.

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Resource estimation in T20 cricket

Cited by 12 publications

References 7 publications

A Method to Measure Choking in Cricket

A Method to Measure Choking in Cricket

Predicting the winning percentage of limited-overs cricket using the Pythagorean formula

Using Bradley–Terry models to analyse test match cricket

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