A study of the powerplay in one-day cricket

Silva, Rajitha M.; Manage, Ananda B. W.; Swartz, Tim B.

doi:10.1016/j.ejor.2015.02.004

Cited by 10 publications

(5 citation statements)

References 8 publications

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“…Other work such as Silva et al . () has looked at the effect of powerplay in such matches. In this paper the focus is instead on comparing past and current players, which is an area where relatively little research has been done (Rohde, ; Radicchi, ; Baker and McHale, ), and we study test cricketers in particular.…”

Section: Introductionmentioning

confidence: 99%

“…The most famous model-based method that is used in cricket today is, of course, the Duckworth-Lewis-Stern formula Lewis, 1998, 2004;Stern, 2009) for interrupted 1-day cricket matches, with subsequent modification by, for example, McHale and Asif (2013). Other work such as Silva et al (2015) has looked at the effect of powerplay in such matches. In this paper the focus is instead on comparing past and current players, which is an area where relatively little research has been done (Rohde, 2011;Radicchi, 2011;Baker and McHale, 2014), and we study test cricketers in particular.…”

Section: Introductionmentioning

confidence: 99%

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On the Ranking of Test Match Batsmen

Boys

Philipson

2018

Journal of the Royal Statistical Society Series C: Applied Statistics

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Summary Ranking sportsmen whose careers took place in different eras is often a contentious issue and the topic of much debate. We focus on cricket and examine what conclusions may be drawn about the ranking of test batsmen by using data on batting scores from the first test in 1877 onwards. The overlapping nature of playing careers is exploited to form a bridge from past to present so that all players can be compared simultaneously, rather than just relative to their contemporaries. The natural variation in runs scored by a batsman is modelled by an additive log‐linear model with year, age and cricket‐specific components used to extract the innate ability of an individual cricketer. Incomplete innings are handled via censoring and a zero‐inflated component is incorporated in the model to allow for an excess of frailty at the start of an innings. The innings‐by‐innings variation of runs scored by each batsman leads to uncertainty in their ranking position. A Bayesian approach is used to fit the model and realizations from the posterior distribution are obtained by deploying a Markov chain Monte Carlo algorithm. Posterior summaries of innate player ability are then used to assess uncertainty in ranking position and this is contrasted with rankings determined via the posterior mean runs scored. Posterior predictive checks show that the model provides a reasonably accurate description of runs scored.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

On the Ranking of Test Match Batsmen

Boys

Philipson

2018

Journal of the Royal Statistical Society Series C: Applied Statistics

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“…Studies show that the starting of a match has a different approach than the later part. Usually, powerplay overs add more runs to the game than regular overs because of the aggressive nature of opening batters and the applied fielding restrictions ( Silva, Manage & Swartz, 2015 ). McHale and Asif (2013) declared D/L better than all previously proposed methods, but they suggested that the best method to predict the outcome of a cricket match should be the one that works in T20I and ODIs.…”

Section: Related Workmentioning

confidence: 99%

Player-aware resource compensation in interrupted cricket matches

Zia

Liaqat

Zia

et al. 2022

PeerJ Computer Science

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The International Cricket Council (ICC) uses the Duckworth-Lewis-Stern (DLS) method for resource compensation in interrupted games, which is an upgraded version of the Duckworth-Lewis (D/L) method. In order to compensate resources, the D/L method uses a generic resource table for all teams without considering both teams’ past performance, venue of the match, and players participating in that match. That is why teams cannot strategize according to their strengths and play according to D/L’s requirements. This paper presents a method for Player-aware Resource Compensation in Interrupted Cricket Matches (PRCICM). The PRCICM model is dynamic because it allocates a different number of resources to different teams based on their resource usage in the past, players involved in the match and venue of the match. The proposed method eliminates the need to find the generalized scoring patterns with a player-driven approach. A team-specific approach is more appropriate because of teams’ different formations and playing approaches.

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“…One reason for its popularity is due to recent advances in technology which allows for a day-night format as opposed to the classical day-only form. In addition, umpire decisions and their review systems, more strict bowling rules, and options of power plays (Silva et al, 2015) have turned it into a more offensive game. These changes have made 21st-century cricket more competitive and spectacular than ever before.…”

Section: Introductionmentioning

confidence: 99%

A machine learning approach to analyze ODI cricket predictors

Jayalath

2018

JSA

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As one-day international (ODI) games rise in popularity, it is important to understand the possible predictors that affect the game outcome. The home-field advantage, coin-toss result, bat-first or second, and day vs day-night game format are such popular variables being considered in the cricket literature. This article focuses on a comprehensive study of quantifying the significance of those important predictors via graphical 'classification and regression tree' (CART) and the popular logistic regression approaches. This study reveals the importance of the home-field advantage for major cricket playing nations in one-day international games but questions the uniformity of such factors under different playing conditions. Importantly, the home-field advantage is investigated further based on the opponent's geographical location. Conclusively, the CART approach provides interesting and novel interpretations for popular predictors in ODI games.

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A study of the powerplay in one-day cricket

Cited by 10 publications

References 8 publications

On the Ranking of Test Match Batsmen

On the Ranking of Test Match Batsmen

Player-aware resource compensation in interrupted cricket matches

A machine learning approach to analyze ODI cricket predictors

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