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Player selection is one the most important tasks for any sport and cricket is no exception. The performance of the players depends on various factors such as the opposition team, the venue, his current form etc. The team management, the…

Other Computer Science · Computer Science 2018-04-13 Kalpdrum Passi , Niravkumar Pandey

Team Recommendation has always been a challenging aspect in team sports. Such systems aim to recommend a player combination best suited against the opposition players, resulting in an optimal outcome. In this paper, we propose a…

Computers and Society · Computer Science 2020-10-30 Prazwal Chhabra , Rizwan Ali , Vikram Pudi

Advancements in technology have recently allowed us to collect and analyse large-scale fine-grained data about human performance, drastically changing the way we approach sports. Here, we provide the first comprehensive analysis of…

Physics and Society · Physics 2024-07-22 Onkar Sadekar , Sandeep Chowdhary , M. S. Santhanam , Federico Battiston

Cricket is unarguably one of the most popular sports in the world. Predicting the outcome of a cricket match has become a fundamental problem as we are advancing in the field of machine learning. Multiple researchers have tried to predict…

Artificial Intelligence · Computer Science 2021-08-24 Harsh Mittal , Deepak Rikhari , Jitendra Kumar , Ashutosh Kumar Singh

Cricket, a popular bat-and-ball game in South Asia, is played between two 11-player teams. The Pakistan Super League (PSL) is a commercial T20 domestic league comprised of six franchise-owned teams, where player selection is competitive. In…

Social and Information Networks · Computer Science 2024-10-21 Abeer Khan , Maria Hunaid Samiwala , Abeeha Zawar , Muhammad Qasim Pasta , Shah Jamal Alam

Indian Premier League (IPL) is a tournament of twenty over cricket matches. Teams of this tournament are selected via an auction from a pool of players. Each team employs a think-tank to build the best possible team. Few studies have been…

Social and Information Networks · Computer Science 2019-08-06 Saptarshi Banerjee , Arnabi Mitra , Debayan Ganguly , Ritajit Majumdar , Kingshuk Chatterjee

Cricket, "a Gentleman's Game", is a prominent sport rising worldwide. Due to the rising competitiveness of the sport, players and team management have become more professional with their approach. Prior studies predicted individual…

Machine Learning · Computer Science 2023-02-23 Ahmad Al Asad , Kazi Nishat Anwar , Ilhum Zia Chowdhury , Akif Azam , Tarif Ashraf , Tanvir Rahman

Cricket betting is a multi-billion dollar market. Therefore, there is a strong incentive for models that can predict the outcomes of games and beat the odds provided by bookers. The aim of this study was to investigate to what degree it is…

Machine Learning · Statistics 2015-11-19 Stylianos Kampakis , William Thomas

Quantifying individual performance in the game of Cricket is critical for team selection in International matches. The number runs scored by batsmen and wickets taken by bowlers serves as a natural way of quantifying the performance of a…

Physics and Society · Physics 2015-03-20 Satyam Mukherjee

Cricket is the second most popular sport after soccer in terms of viewership. However, the assessment of individual player performance, a fundamental task in team sports, is currently primarily based on aggregate performance statistics,…

The speed-accuracy tradeoffs are prevalent in a wide range of physical systems. In this paper, we demonstrate speed-accuracy tradeoffs in the game of cricket, where 'batters' score runs on the balls bowled by the 'bowlers'. It is shown that…

Physics and Society · Physics 2025-12-17 Mohd Suhail Rizvi

In this paper we introduce a new methodology to determine an optimal coefficient for a positive finite measure of batting average, strike rate, and bowling average of a player in order to get an optimal score of a team under dynamic…

Optimization and Control · Mathematics 2020-01-31 Paramahansa Pramanik , Alan M. Polansky

As the technology advances, an ample amount of data is collected in sports with the help of advanced sensors. Sports Analytics is the study of this data to provide a constructive advantage to the team and its players. The game of…

Machine Learning · Computer Science 2020-11-05 Rahul Chakwate , Madhan R A

Twenty20 cricket, sometimes written Twenty-20, and often abbreviated to T20, is a short form of cricket. In a Twenty20 game the two teams of 11 players have a single innings each, which is restricted to a maximum of 20 overs. This version…

Machine Learning · Computer Science 2023-07-25 Ashish V Shenoy , Arjun Singhvi , Shruthi Racha , Srinivas Tunuguntla

This paper proposes a simple method to evaluate batsmen and bowlers in cricket. The idea in this paper refines "book cricket" and evaluates a batsman by answering the question: How many runs a team consisting of same player replicated…

Applications · Statistics 2011-07-18 Anand Ramalingam

This research has developed a statistical modeling procedure to predict outcomes of future cricket tournaments. Proposed model provides an insight into the application of stratified survey sampling to the team selection pattern by…

Applications · Statistics 2022-03-22 Mohammed Quazi , Joshua Clifford , Pavan Datta

Player synergies are a salient feature of team sports. In the team game of cricket, player synergies may be reflected in batting partnerships. Batting partnerships have been analysed extensively. In this paper, we introduce and precisely…

Social and Information Networks · Computer Science 2021-08-31 Praharsh Nanavati , Amit Anil Nanavati

In the game of cricket, the result of coin toss is assumed to be one of the determinants of match outcome. The decision to bat first after winning the toss is often taken to make the best use of superior pitch conditions and set a big…

Applications · Statistics 2020-07-14 Manar D. Samad , Sumen Sen

In the dynamic realm of One Day International (ODI) cricket, the sport has undergone significant transformations over the past four decades. This study digs into the intricate evolution of ODI cricket from 1987 to 2023, analyzing about 4000…

Applications · Statistics 2025-07-01 Pratik Mullick

Sports analytics -- broadly defined as the pursuit of improvement in athletic performance through the analysis of data -- has expanded its footprint both in the professional sports industry and in academia over the past 30 years. In this…

Applications · Statistics 2023-01-11 Benjamin S. Baumer , Gregory J. Matthews , Quang Nguyen
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