Prof. Dibyojyoti Bhattacharjee
@aus.ac.in
Professor
Assam University
EDUCATION
PhD, Post-Doc
RESEARCH INTERESTS
Cricket Analytics, Statistical Graphics
Scopus Publications
Scopus Publications
Dhruba Das, Hemanta Saikia, Dibyajyoti Bora, Dibyojyoti Bhattacharjee, and Jondeep Das
Elsevier BV
Dhruba Das, Hemanta Saikia, and Dibyojyoti Bhattacharjee
Informa UK Limited
Dhruba Das, Hemanta Saikia, Dibyojyoti Bhattacharjee, and Bhaskar Kushvaha
Informa UK Limited
ABSTRACT In cricket, the prime responsibility lies with the batsmen of a team to do the bulk of the scoring. Therefore, the strategy of playing shots is more specific to the batsmen and all-rounders of the team. Based on the match situation, a batsman must play either defensively to defend his wicket or bat aggressively to progress his team’s total score. Given the expertise of the batsman, the captain of the fielding team shall decide which bowler to bowl and place the fielders in such a way that a batsman find it difficult to score runs. However, the fielding arrangement depends on the type of bowler (i.e., either fast or spin). Therefore, this study tries to determine the probabilistic estimation of shot selection by a batsman against bowling type after dividing the entire cricket field into six different nonoverlapping areas. Initially, the probabilities of shots played by a batsman are estimated using multinomial distribution. Thereafter, transition probabilities of shots for a batsman along with mean recurrence time are estimated using Markov chain. This study will be helpful for the captain of the fielding team to arrange the fielder and choose his bowlers against a given batsman of the opponent team.
Bireshwar Bhattacharjee and Dibyojyoti Bhattacharjee
Horizon Research Publishing Co., Ltd.
Several authors of late have contributed signifi-cantly towards developing mathematical models for selecting the best possible team from a host of players in different team sports, including cricket. The performance of cricketers on the different skill sets of the game, such as batting, bowling, and fielding, is considered for selecting optimum teams. Most of these mathematical models are divided into two parts.The first part tells about a method that can quantify the performance of cricketers, and the second part tells about a method that can select a squad of players from a more extensive collection of players based on the value of their performance, taking into consideration the different constraints of team selection and expertise of players.The teams formed through different methods cannot be made to play against each other, so there is no direct way to find out which method delivers the best team. Also, no competition between optimum teams obtained through different methods was ever performed in the absence of objective methodology for such comparison.This paper attempts to compare different team selection methods and identify the best mathematical model for team selection in cricket using the fantasy league scoring system.
Deepjyoti Choudhury and Dibyojyoti Bhattacharjee
SAGE Publications
The importance of wicketkeeper in a cricket team is indispensable. A perfect wicketkeeper keeps the morale of the team high and acts as the confidence booster to the bowler and the entire team. The performance of a wicketkeeper in a match can change the fate of the game. A wicketkeeper should be capable of several cricketing skills like stamping, catching and appealing for a dismissal and in these days an important decision maker of call for a decision review. However, the International Cricket Council (ICC), which regularly publishes ranking for batsman, bowlers, all-rounders and cricket teams, do not produce any ranking for wicketkeepers. Thus, considering the importance of a wicketkeeper in a cricket team, the researchers feel that it is necessary to identify the performance of wicketkeeper. The exercise can help in selecting the best keeper for a team from a host of available options. In this study an attempt has been made to rank the performance of wicketkeepers with the help of Sharpe ratio. Here the score card of wicket keeping data of selected players are taken from last five editions of Indian Premiere League (IPL) and accordingly the wicketkeeper with most expected number of dismissals is extracted. Based on the descriptive statistics, the sharpe ratio is calculated to identify and rank of the wicketkeepers.
Yamini Nekkanti and Dibyojyoti Bhattacharjee
SAGE Publications
In the current system of cricket, the most commonly used measures to evaluate players’ performance are batting and bowling averages, strike rate and economy rate. While these measures are easy to compute and understand, they fail to reflect a complete picture of the players’ performance as they do not consider the context of the match. Various factors, such as balls faced and left, wickets remaining, the skill level of the opponent, etc., are not being considered while evaluating the players’ performance. In addition, these conventional measures fail to compare a batsman’s performance against that of a bowler or vice versa. The objective of this article is to arrive at a measure that will better explain the performance of the players while incorporating some of the factors as stated above. In this article, we use strike rate for the batsman and economy rate for the bowler to arrive at a common scale for ratings. Furthermore, we use the concept of Elo ratings in order to evaluate the duel between a batsman and a bowler. Based on the developed methodology, we evaluate the duels between the players in the Indian Premier League 2018 finals.
Dibyojyoti Bhattacharjee and Priyanka Talukdar
Informa UK Limited
Abstract In this study, an attempt is made to predict the outcome of Twenty20 cricket matches applying predictive discriminant analysis on pressure index. The classification functions of discriminant analysis are developed based on a training sample of 118 international Twenty20 matches and its validity has been tested on a holdout sample of another 73 matches. The cross-validation exercise yields a maximum of 90.7 percent and 78.4 percent correct classification in the training sample and holdout sample respectively. Finally, the findings of the proposed method are compared with other target rescheduling methods used for the purpose of match prediction.
Nilanjana Chakrabarty and Dibyojyoti Bhattacharjee
IGI Global
The term ‘digital divide' refers to the gap between individuals, households, businesses and geographic areas with regard to both their opportunities to access Information and Communication Technologies (ICT) and to their use of Internet. Composite indicators are regularly used for measuring the divide and in benchmarking the country's performance. But often it creates controversies regarding the subjectivity that is connected with their construction methodology more specifically the weighting and aggregation issues. The paper attempts to assess the robustness of the ranks generated by the composite digital divide index using different weighting and aggregation schemes in case of Asian countries. Here four weighting techniques Iyengar-Sudarshan Method, Benefit of Doubt Method, Principal Component Analysis and Unobserved Component Model and three techniques of aggregation viz. Linear Aggregation, Geometric Aggregation and Weighted Displaced Ideal Method are used for mutual comparison.
Hemanta Saikia, Dibyojyoti Bhattacharjee, and Diganta Mukherjee
Springer Singapore
Hemanta Saikia, Dibyojyoti Bhattacharjee, and Diganta Mukherjee
Springer Singapore
Hemanta Saikia, Dibyojyoti Bhattacharjee, and Diganta Mukherjee
Springer Singapore
Hemanta Saikia, Dibyojyoti Bhattacharjee, and Diganta Mukherjee
Springer Singapore
Hemanta Saikia, Dibyojyoti Bhattacharjee, and Diganta Mukherjee
Springer Singapore
Hemanta Saikia, Dibyojyoti Bhattacharjee, and Diganta Mukherjee
Springer Singapore
Hemanta Saikia, Dibyojyoti Bhattacharjee, and Diganta Mukherjee
Springer Singapore
Hemanta Saikia, Dibyojyoti Bhattacharjee, and Diganta Mukherjee
Springer Singapore
Nivedita Dasgupta, Deepjyoti Paul, Debadatta Dhar(Chanda), Birson Ingti, Dibyojyoti Bhattacharjee, Atanu Chakravarty, and Amitabha Bhattacharjee
Elsevier BV
Deepjyoti Paul, Birson Ingti, Dibyojyoti Bhattacharjee, Anand Prakash Maurya, Debadatta Dhar, Atanu Chakravarty, and Amitabha Bhattacharjee
Elsevier BV
Hemanta Saikia, Dibyojyoti Bhattacharjee, and Unni Krishnan Radhakrishnan
Informa UK Limited
A balanced squad in cricket contains players with different expertise like batting, bowling, all-rounder and wicket keeping. Maintaining these cricketing requirements, selecting an optimal squad is a difficult decision making problem. The selectors have chosen cricketers using their own experience and based on the recent performances of available players from all the different expertise. The paper introduces a measure that can quantify the performance of the cricketers into a single numerical value, which is a measure of the player’s cricketing efficiency. The distributional pattern of the performance measure is identified and then used to recognize the performers under different expertise. The entire exercise simplifies the job of the selectors as they now have a smaller subset to choose from. To explain the model empirically, data of the Indian Premier League (IPL), 2012 is used to identify the performers of the game under different expertise. The actual Indian team selected just after the said season of IPL is then compared with the performers of IPL, 2012 as identified by the model. It was found that several non-performers were selected in the actual squad and some performers were left out. This model can be extended for the team selection in other versions of cricket and even in other team sports.
Deepjyoti Paul, Amitabha Bhattacharjee, Dibyojyoti Bhattacharjee, Debadatta Dhar, Anand Prakash Maurya, and Atanu Chakravarty
Springer Science and Business Media LLC