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Journal articles on the topic 'Cricket Statistics'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Shamshad Ali Talpur and Riffat Sultana. "LIFE HISTORY STATISTICS OF THE COMMON HOUSE CRICKET, ACHETA DOMESTICUS (GRYLLIDAE) UNDER NATURAL AND LABORATORY CONDITIONS." Voyage Journal of Scientific Research and Exploration 2, no. 1 (2025): 120–38. https://doi.org/10.58622/jq3n4242.

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Acheta domesticus, the common house cricket, is the cosmopolitan species. Based on 100 crickets, a mean time spent in each stage (egg, nymph and adult) for the cricket was calculated. Female crickets produced an average of 2,195±225 eggs per life, but there was variation due to food availability and temperature. Females laid 125±15 eggs/day during the reproductive life period which averaged 3 weeks ±3 days. In the confinement of 25°C, the duration of the egg phase was on average 13±2 days. The cricket nymphs required 56±5 days to mature with 8 molts for becoming adults. Adult stage duration av

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Shah, Parag. "Measuring Fielding Performance in Cricket." Polish Journal of Sport and Tourism 23, no. 2 (2016): 113–14. http://dx.doi.org/10.1515/pjst-2016-0014.

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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 information of a match for each cricketer. The fielding points of each ball

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Shah, Parag. "Form - A New Cricket Statistics." American Journal of Sports Science 2, no. 3 (2014): 53. http://dx.doi.org/10.11648/j.ajss.20140203.11.

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Oyaro, HO, CO Gor, M. Ocaido, EO Okul, and E. Okuto. "Determinants of acceptability of cricket consumption and adoption for improved food security among riparian communities of the Victoria basin, Kenya." African Journal of Food, Agriculture, Nutrition and Development 22, no. 5 (2022): 20383–400. http://dx.doi.org/10.18697/ajfand.110.21650.

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The dynamics of weather variation have overstretched animal protein from already overburdened environment; malnutrition is likely to be on the rise with human population growth projected at 9.7 billion by 2050. This has seen cricket consumption for household food security increasing in the past decade. Cricket (acheta domesticus) farming can contribute positively to solving malnutrition problems being experienced among the riparian communities in the Kenyan Lake Victoria Basin. Cricket farming presents a livelihood diversification strategy that can help buffer rural households against food ins

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Habid Hossen, Md. Shahin Shiddik Shuvon, Jubaida Begum Barsha, Arshek Ahmed Chy, and Abhijit Pathak. "Ultimate cricket experience: Dynamic web app for a real-time scoring system in university cricket." World Journal of Advanced Research and Reviews 19, no. 2 (2023): 1269–80. http://dx.doi.org/10.30574/wjarr.2023.19.2.1721.

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Cricket, a globally popular team sport, involves eleven players and encompasses both batting and bowling skills, with the objective of scoring runs and dismissing the opposition's batsmen. The sport has complex rules and demands skill, technique, and teamwork. Cricket enjoys a significant following worldwide and has produced iconic players. It has evolved with shorter formats and tournaments, attracting a global audience. The " Ultimate Cricket Experience: Dynamic Web App for Real-Time Scoring System in University Cricket” project aims to develop a web application specifically designed for uni

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Habid, Hossen, Shahin Shiddik Shuvon Md., Begum Barsha Jubaida, Ahmed Chy Arshek, and Pathak Abhijit. "Ultimate cricket experience: Dynamic web app for a real-time scoring system in university cricket." World Journal of Advanced Research and Reviews 19, no. 2 (2023): 1269–80. https://doi.org/10.5281/zenodo.10852377.

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Cricket, a globally popular team sport, involves eleven players and encompasses both batting and bowling skills, with the objective of scoring runs and dismissing the opposition's batsmen. The sport has complex rules and demands skill, technique, and teamwork. Cricket enjoys a significant following worldwide and has produced iconic players. It has evolved with shorter formats and tournaments, attracting a global audience. The " Ultimate Cricket Experience: Dynamic Web App for Real-Time Scoring System in University Cricket” project aims to develop a web application specifically designed f

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Jewell, Sarah, and J. James Reade. "On Fixing International Cricket Matches." Journal of Gambling Business and Economics 13, no. 2 (2020): 37–82. http://dx.doi.org/10.5750/jgbe.v13i2.1869.

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Corruption is hidden action which distorts allocations of resources away from competitive outcomes. Hence the detection of such actions is both difficult yet important. In many economic contexts, agent actions are unobservable by principals and hence detection is difficult; sport offers a well-measured context in which individual actions are documented in great detail. In recent years the sport of cricket, which records a huge volume of statistics, has been beset by a number of corruption scandals surrounding the fixing of matches. We use 18 one day international (ODI) matches that are known t

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Duckworth, Frank. "A Role for Statistics in International Cricket." Teaching Statistics 23, no. 2 (2001): 38–44. http://dx.doi.org/10.1111/1467-9639.00048.

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Sulthana, Dr M. Shalima. "CRICKET CONNECT." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50214.

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Abstract— Cricket ConnectCricket Connect is a dynamic, user-friendly web platform designed to serve as a one-stop destination for all cricket enthusiasts. Built using HTML, CSS, JavaScript, MongoDB and Python, this platform integrates multiple cricket-related features, including a specialized chatbot that answers cricket- specific queries, real-time live scores, IPL updates, and match information. The system offers user authentication via Login and Signup pages, enabling personalized access and interaction. It also features live app functionality and a chat discussion module where users can en

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Sanjaykumar, Swamynathan, Subhashree Natarajan, Ponnusamy Yoga Lakshmi, and Farjana Akter Boby. "Predicting Team Success in the Indian Premier League Cricket 2024 Season Using Random Forest Analysis." Physical Education Theory and Methodology 24, no. 2 (2024): 304–9. http://dx.doi.org/10.17309/tmfv.2024.2.16.

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Background. Random Forest is a popular machine learning algorithm used for classification and regression tasks. The study purpose is to investigate the use of Random Forest machine learning to predict the winning chances of teams in the 2024 Indian Premier League (IPL) season. Objectives. By analyzing comprehensive player statistics, including matches played, batting and bowling averages, as well as fielding contributions, the study aims to understand the factors that influence team success in T20 cricket and provide actionable insights for team management, betting markets, and cricket enthusi

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C V, Vishal. "Harnessing the Predictive Power of Lower-division Statistics of Cricketers to Predict Their Rates of Success at the International Level." International Journal for Research in Applied Science and Engineering Technology 9, no. 12 (2021): 489–99. http://dx.doi.org/10.22214/ijraset.2021.39354.

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Abstract: Statistics has always been an integral part of the sporting world. Selectors pick players based on numerous factors such as averages, strike-rates, runs scored or goals scored. Teams have exclusive ‘talent hunters’, who spend weeks, if not months, trying to uncover talent from different parts of the world. With the rise of this new niche field called Sports Analytics, teams can now perform player evaluations on tons of data that is available. This paper aims to examine the factors that truly indicate the capacity of cricket players to perform at the top-most level – international cri

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Khan, Sheharyar. "Statistical Analysis of Cricket Leagues Using Principal Component Analysis." Foundation University Journal of Engineering and Applied Sciences <br><i style="color:yellow;">(HEC Recognized Y Category , ISSN 2706-7351)</i> 2, no. 1 (2021): 30–40. http://dx.doi.org/10.33897/fujeas.v2i1.451.

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Any sport has statistics and cricket is one of the sports where statistics are significantly important because, on the based on these statistics, players are ranked. These statistics include individual runs, wickets, and highest scores, etc. Based on statistics, players are selected for any tournament around the world. This research uses Principal Component Analysis by evaluating cricket facts and figures. This analysis tests the precise co-variation among different measurements relating to the batting and bowling abilities of players in the Pakistan Super League PSL T-20 (2016-2019) and IPL T

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NEERAJ, KUMAR. "DEVELOPING A REGRESSION MODEL FOR PREDICTING THE BATSMEN'S PERFORMANCE IN CRICKET ON ANTHROPOMETRIC PARAMETERS." IJFANS International Journal of Food and Nutritional Sciences 11, SPCL 1 2022 (2022): 2801–8. https://doi.org/10.5281/zenodo.7699884.

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Abstract:- This research aimed to ascertain the connection between anthropometric characteristics and cricket batting performance. Using random sampling, a total of 25 male participants were chosen from the cricket academy, practice game, and camp in Haryana. The participants were all frequent gamers with high skills, ranging in age between 17 to 28 (19.16 + 1.37). In this study, the following variables were measured: age, height, body weight, full arm length, hand length, whole leg length, chest girth, abdomen girth, hip girth, humerus bicondylar diameter, wrist diameter, thigh skinfold, calf

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Chandrakar, Pranjal, and Shubhabrata Das. "Measuring the values of cricket players." Australian & New Zealand Journal of Statistics 63, no. 4 (2021): 565–78. http://dx.doi.org/10.1111/anzs.12353.

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Bhogawar, Aniket A., Abhijeet V. Tupe, Abhishek G. Yadav, S. H. More, and K. G. Pise. "Bluetooth Enabled LCD Cricket Scoreboard." Journal of IoT-based Distributed Sensor Networks 1, no. 1 (2024): 7–14. http://dx.doi.org/10.46610/jibdsn.2024.v01i01.002.

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This abstract centres on designing and developing a Bluetooth-enabled LCD cricket scoreboard with a primary focus on reducing delay time during score display, aiming to significantly enhance the cricket match experience for players, spectators, and officials. The scoreboard seamlessly integrates Bluetooth technology with LCDs to ensure real-time transmission and instant display of match statistics, scores, player information, and game progress. The system incorporates Arduino-based hardware for LCD control and Bluetooth communication, complemented by a dedicated mobile application functioning

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Aniket, A. Bhogawar, V. Tupe Abhijeet, G. Yadav Abhishek, More S.H., and G. Pise K. "Bluetooth Enabled LED Cricket Scoreboard." Journal of Advancement in Electronics Design 7, no. 2 (2024): 8–15. https://doi.org/10.5281/zenodo.10948546.

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<em>This abstract centers on designing and developing a cost-effective Bluetooth-enabled LED cricket scoreboard with a primary focus on reducing delay time during score display, aiming to significantly enhance the cricket match experience for players, spectators, and officials. The scoreboard seamlessly integrates Bluetooth technology with LEDs to ensure real-time transmission and instant display of match statistics, scores, player information, and game progress. The system incorporates Arduino-based hardware for LED control and Bluetooth communication, complemented by a dedicated mobile appli

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Basri, Hasan, Aridhotul Haqiyah, and Adli Azhari. "TINGKAT KECEMASAN ATLET CRICKET JELANG PERTANDINGAN." Journal of Sport Science and Fitness 8, no. 2 (2023): 141–49. http://dx.doi.org/10.15294/jssf.v8i2.62880.

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    Abstrak Penelitian ini bertujuan untuk mengetahui gambaran tingkat kecemasan para atlet cricket Kota Bekasi jelang pertandingan Porprov 2022 Jawa Barat dan membandingkan tingkat kecemasan atlet cricket putra dan putri. Penelitian ini menggunakan jenis penelitian kuantitatif melalui SPSS Versi 24. Sampel dalam penelitian ini adalah atlet cricket Kota Bekasi yang berjumlah 27 atlet. Instrumen yang digunakan untuk memperoleh data menggunakan kuesioner yang bersifat tertutup. Kuesioner yang dibagikan adalah SCAT (Sport Competitive Anxiety Test) berjumlah 15 butir

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Panchal, Nidhi, Aryan Patel, and Ankit Bhagat. "EVALUATION OF SHOULDER PERFORMANCE AND AWARENESS OF PHYSIOTHERAPY IN RECREATIONAL CRICKET PLAYERS – A SURVEY STUDY." Indian Journal of Physical Therapy 6, no. 1 (2025): 29–39. https://doi.org/10.63299/ijopt.060110.

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Background: Cricket is the most popular sport played around the globe. Cricket players require optimum balance between power, strength, speed, accuracy and endurance to avoid any injuries which may affect their game. Objective: Aim of the study to analyze shoulder-related problems experienced by cricketers in the Ahmedabad and Mahemdavad districts of Gujarat, India Methods: A survey of professional and recreational cricket players in the Mahemdavad and Ahmedabad districts of Gujarat, India, was conducted from 5th December 2024 to 5th March 2025. Participants completed a two-part Google e-surve

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Boby, Farjana Akter, and Manisha Badhan. "Assessing aerobic endurance in elite female cricket players." Scientific Journal of Sport and Performance 2, no. 4 (2023): 564–71. http://dx.doi.org/10.55860/lvcg9159.

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To assess and compare the aerobic endurance levels of elite female cricket players from Bangladesh and India. This study’s participants were 50 elite female cricket players (ages 18-30 years), with 25 players from each country. They were all considered elite players based on their performance and experience in national and international cricket tournaments. To measure aerobic endurance fitness, the participants underwent a Yo-Yo Intermittent Recovery Test Level 1 (YYIRT1), which is widely used to measure an individual's maximal oxygen uptake (VO2max) and aerobic capacity. The data collected we

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Perera, Harsha, Jack Davis, and Tim B. Swartz. "Optimal lineups in Twenty20 cricket." Journal of Statistical Computation and Simulation 86, no. 14 (2016): 2888–900. http://dx.doi.org/10.1080/00949655.2015.1136629.

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Noorbhai, M., and T. Noakes. "The lateral batting backlift technique: is it a contributing factor to success for professional cricket players at the highest level?" South African Journal of Sports Medicine 31, no. 1 (2019): 1–9. http://dx.doi.org/10.17159/2078-516x/2019/v31i1a5460.

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 Background: This study aimed primarily to investigate the lateral batting backlift technique (LBBT) among semi-professional, professional and current international cricket players. A key question was to investigate whether this technique is a factor that contributes to success for cricket players at the highest levels of the game.  Methods: The participants in this study’s sample (n = 130) were South African semi-professional players (SP) (n = 69), professional players (PP) (n = 49) and South African international professional players (SAI) (n = 12). Biomechanical and video analys

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Noorbhai, M., and T. Noakes. "The lateral batting backlift technique: is it a contributing factor to success for professional cricket players at the highest level?" South African Journal of Sports Medicine 31, no. 1 (2019): 1–9. http://dx.doi.org/10.17159/5460.

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 Background: This study aimed primarily to investigate the lateral batting backlift technique (LBBT) among semi-professional, professional and current international cricket players. A key question was to investigate whether this technique is a factor that contributes to success for cricket players at the highest levels of the game.  Methods: The participants in this study’s sample (n = 130) were South African semi-professional players (SP) (n = 69), professional players (PP) (n = 49) and South African international professional players (SAI) (n = 12). Biomechanical and video analys

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Sanjaykumar, Swamynathan, Karthikeyan Udaichi, Gowtham Rajendiran, Marian Cretu, and Zhanneta Kozina. "Cricket performance predictions: a comparative analysis of machine learning models for predicting cricket player’s performance in the One Day International (ODI) world cup 2023." Health, sport, rehabilitation 10, no. 1 (2024): 6–19. http://dx.doi.org/10.58962/hsr.2024.10.1.6-19.

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Background and purpose Cricket, a globally renowned bat and ball sport, is the second most popular sport worldwide. The objective of the study is to utilize machine learning algorithms to predict the performance probabilities of Indian cricket players participating in the ODI Cricket World Cup 2023. Furthermore, we aim to assess and compare the predictive precision of three machine learning models such as, Random Forest, Support Vector Regression, and XGBoost. Materials and Methods Data collection centered on Indian One Day International cricket statistics, encompassing match

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Malhotra, Akash, and Shailesh Krishna. "Release velocities and bowler performance in cricket." Journal of Applied Statistics 45, no. 9 (2017): 1616–27. http://dx.doi.org/10.1080/02664763.2017.1386772.

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., Nagesh, and Ananthu G. Krishnan. "Comparative Analysis Of Psychological Variables In Recreational And District-Level Cricket Players In Karnataka." IOSR Journal of Sports and Physical Education 11, no. 6 (2024): 09–13. http://dx.doi.org/10.9790/6737-1106010913.

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Purpose: The study aimed to compare achievement motivation and competitive anxiety between recreational and district-level cricket players in Karnataka. Materials and Methods: A total of 60 cricket players, aged 20-30 years, were selected for the study (30 from recreational level and 30 from district level). The Achievement Motivation and Sport Competition Anxiety Inventories were administered individually to all participants. The data were analysed using the Statistical Package for Social Sciences (SPSS) version 16.0. Descriptive statistics and an independent t-test were applied at a 0.05 lev

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NEERAJ, KUMAR, and R.P Garg Dr. "A RELATIONSHIP STUDY OF PSYCHOLOGICAL VARIABLES WITH THE PLAYING ABILITY OF CRICKET BATSMEN." IJFANS International Journal of Food and Nutritional Sciences 11, special 1 2022 (2023): 2801–8. https://doi.org/10.5281/zenodo.7700536.

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Abstract:- This study is aimed to find the association among the selected Psychological variables and batting performance in cricket. A total of 50 male subjects were selected from the cricket camp, practice match, and their cricket academy in Haryana and Delhi by using random sampling. The age of the subjects ranged from 17 to 28 years old (19.08 ± 1.22), and all were regular players with good skills. The psychological assessment instrument developed by Dr. M.L. Kamlesh (SAMT) was used to evaluate achievement motivation (1990), Smith's (1979) standard psychological instrument was u

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Modekurti, Durga Prasad Venkata. "Setting final target score in T-20 cricket match by the team batting first." Journal of Sports Analytics 6, no. 3 (2020): 205–13. http://dx.doi.org/10.3233/jsa-200397.

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The purpose of this paper is to develop a deterministic model for setting the target in T-20 Cricket by the team batting first. Mathematical tools were used in model development. Recursive function and secondary data statistics of T-20 cash rich cricket tournament Indian Premier League (IPL) such as runs scored in different stages, fall wickets in different stages, and type of pitch are used in developing the model. This model was tested at 120 matches held IPL 2016 and 2017. This model had been proved effective by comparing with the models developed earlier. This model can be a useful tool to

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Marwat, Mohibullah Khan, Kashif Mehmood, and Sajid Hussain. "Role of Personal and Ground Safety Measures Affecting Sports Performance." Global Social Sciences Review iX, no. III (2024): 179–87. https://doi.org/10.31703/gssr.2024(ix-iii).18.

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Personal and ground safety measures are considered very significant in contact games. The main objectives were to determine the awareness of safety measures among Cricket and Football players and to analyze the effect of these measures on their performance. Inferential, Correlation, regression analysis, and t-test statistics were employed for data analysis. Data reliability was 0.80. So for the question of mean as well as Standard deviation of the scales Personal Safety Measures(PSM),Ground Safety Measures(GSM) & Self-rating Performance (SRP) are concerned, they were 3.34±0.40, 3.34±0.70 a

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Saikia, Hemanta, and Dibyojyoti Bhattacharjee. "Visualizing bowling performance in cricket using contour plot." MOJ Sports Medicine 6, no. 3 (2023): 97–100. http://dx.doi.org/10.15406/mojsm.2023.06.00148.

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Batting and bowling are widely considered to be the pivotal skills in cricket. Traditionally, cricket has relied on three distinct metrics to measure bowling performance: the bowling average, the bowler's strike rate, and the economy rate. While each of these measures attempts to quantify the performance of bowlers, their respective scopes are unique. Researchers have made several attempts to integrate these measures into a composite index to rank bowlers. However, the integration process inevitably results in the loss of the individual metrics' distinct natures. This paper endeavours to visua

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Thomson, James, Harsha Perera, and Tim B. Swartz. "Contextual batting and bowling in limited overs cricket." South African Statistical Journal 55, no. 1 (2021): 73–86. http://dx.doi.org/10.37920/sasj.2021.55.1.6.

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Manage, Ananda B. W., Ram C. Kafle, and Danush K. Wijekularathna. "Classification of all-rounders in limited over cricket - a machine learning approach." Journal of Sports Analytics 6, no. 4 (2021): 295–306. http://dx.doi.org/10.3233/jsa-200467.

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In cricket, all-rounders play an important role. A good all-rounder should be able to contribute to the team by both bat and ball as needed. However, these players still have their dominant role by which we categorize them as batting all-rounders or bowling all-rounders. Current practice is to do so by mostly subjective methods. In this study, the authors have explored different machine learning techniques to classify all-rounders into bowling all-rounders or batting all-rounders based on their observed performance statistics. In particular, logistic regression, linear discriminant function, q

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Basri, Hasan, Siti Nurhidayah, Azi Faiz Ridlo, and Albert Wolter Aridan Tangkudung. "INDONESIAN NATIONAL TEAM CRICKET ATHLETES ANXIETY AHEAD OF CAMBODIA’S 2023 SEA GAMES MATCHES." Paradigma 20, no. 2 (2023): 261–73. http://dx.doi.org/10.33558/paradigma.v20i2.7195.

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This study aims to describe the level of anxiety of the Indonesian National Team cricket athletes ahead of the 2023 Cambodian Sea Games and how to control anxiety in the athletes' environment. This study used quantitative research through SPSS Version 24. The sample in this study were 16 Indonesian National Team cricket athletes. The instrument used to obtain data uses a closed questionnaire. The questionnaire distributed was the SCAT (Sport Competitive Anxiety Test) totaling 15 questions. As for data analysis using descriptive statistics which has the aim of describing the data, so that resea

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Sivaramaraju, Vetukuri, Nilambar Sethi, and Renugunta Rajender. "Heuristics for Winner Prediction in International Cricket Matches." Statistics, Optimization & Information Computing 8, no. 2 (2020): 602–9. http://dx.doi.org/10.19139/soic-2310-5070-648.

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Cricket is popularly known as the game of gentlemen. The game of cricket has been introduced to the World by England. Since the introduction till date, it has become the second most ever popular game. In this context, few a data mining and analytical techniques have been proposed for the same. In this work, two different scenario have been considered for the prediction of winning team based on several parameters. These scenario are taken for two different standard formats for the game namely, one day international (ODI) cricket and twenty-twenty cricket (T-20). The prediction approaches differ

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K Kiran Babu, Srikanth Banoth, Vijaya Lakshmi Muvvala, Mohammad Shafee, and Shravan Kumar Ainala. "Cricket player performance prediction: A machine learning." World Journal of Advanced Research and Reviews 25, no. 2 (2025): 953–61. https://doi.org/10.30574/wjarr.2025.25.2.0379.

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Cricket is a data-rich sport where accurate performance predictions can significantly impact strategic decision-making for teams, analysts, and coaches. This study leverages machine learning (ML), specifically Light Gradient Boosting Machine (LGBM), to enhance predictive accuracy by analyzing historical player statistics, pitch conditions, and real-time match factors. The proposed system follows a structured pipeline, including data preprocessing, feature engineering, and model optimization, ensuring scalability and reliability. Unlike traditional models, it integrates real-time adaptability,

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Choudhury, Deepjyoti, and Dibyojyoti Bhattacharjee. "Application of Sharpe Ratio to Rank the Performance of Wicketkeepers in Cricket: A Study Based on Last Five IPL Seasons." Management and Labour Studies 45, no. 2 (2020): 175–83. http://dx.doi.org/10.1177/0258042x20916641.

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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 team

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Waqar, Ahmed, Amjad Mahwish, Nazir Junejo Khurum, Mahmood Tariq, and H. Khan Ayaz. "Is the performance of a cricket team really unpredictable? A case study on Pakistan team using machine learning." Indian Journal of Science and Technology 13, no. 34 (2020): 3586–99. https://doi.org/10.17485/IJST/v13i34.813.

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Abstract Cricket is the second most popular game around the globe, particularly it breeds a high level of enthusiasm in Asia, Australia and UK. However, it is generally known and globally mentioned that Pakistan is an “unpredictable” cricket team, which leads to extreme reactions from the citizens in case of a loss, e.g., verbal anger, breaking of television sets and burning of players’ effigies. <strong>Objectives</strong>: In this study, we leverage machine learning techniques to demonstrate that the use of the “unpredictable” tag for Pakistan’s crick

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Newans, Tim, and Christopher Drovandi. "Will Bazball finally knock its critics for six?" Significance 21, no. 1 (2024): 32–35. http://dx.doi.org/10.1093/jrssig/qmae011.

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Abstract “Bazball” describes an aggressive, high-risk, high-reward style of cricket. But is it even a tangible phenomenon? And is it likely to improve the England men's team's chances on their Test tour of India in February 2024? Tim Newans and Christopher Drovandi offer some statistical speculation

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Kimber, Alan. "A Graphical Display for Comparing Bowlers in Cricket." Teaching Statistics 15, no. 3 (1993): 84–86. http://dx.doi.org/10.1111/j.1467-9639.1993.tb00664.x.

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Vijayabalaji, Srinivasan, and Parthasarathy Balaji. "Best’11 strategy in cricket using MCDM, rough matrix and assignment model." Journal of Intelligent & Fuzzy Systems 39, no. 5 (2020): 7431–47. http://dx.doi.org/10.3233/jifs-200784.

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In 1982, Pawlak set up a fresh approach to deal with uncertainties namely rough set theory, Multiple-Criteria Decision Making (MCDM) first traced by Benjamin Franklin in 17th century. Several researchers did significant contribution to MCDM thereafter. An assignment problem involves what happens to the effective function when each of a number of sources is associated with the same number of destinations. Using MCDM, Rough matrices and Assignment model we are inducing an idea to pick Best’11 in all three formats (Test, One Day Internationals (ODI), Twenty20 International matches (T20I)) in the

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Muhammad, Tahir Nazeer. "Kinematical Analysis of Off-Spin Bowling at Club level Cricket." Global Educational Studies Review 1, no. 1 (2020): 26–30. https://doi.org/10.31703/gesr.2016(I-I).04.

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Cricket is the most famous game but no research work in cricket in the field of biomechanics. The aim of study was to find out the relationship of body segments angles, height of release, angle of release and average speed with deviation of ball. Eight males off spin bowlers has to bowl six legal deliveries. Descriptive statistics was used for describing the data. Pearson product moment correlation was used for the various relationship of the variable to the deviation of the ball. Angle of release (r=0.895**), average velocity (r=0.852), ankle joint left (r=.604), knee joint left (r=0.642), sh

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Malele, Lesego S., and Habib Noorbhai. "The Impact of COVID-19 on Male Semiprofessional Cricket Player’s Mental Health and Performance Following the Resumption of Sporting Events." American Journal of Men's Health 17, no. 3 (2023): 155798832311787. http://dx.doi.org/10.1177/15579883231178752.

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The ability of a cricket player to manage their mental health helps them to perform optimally. This study investigated how mental health is related to performance of male cricket players during the resumption of sporting events after coronavirus disease 2019 (COVID-19) restrictions. Mental health profiles were established using the Depression, Anxiety, Stress Scale-21 (DASS-21), Athlete Burnout Questionnaire (ABQ), and Satisfaction with Life Scale (SWLS) instruments among male semiprofessional cricket players ( n = 63). Performance metrics included: body fat percentage (BF%), range of motion (

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Talekar, P. R. ""The Effectiveness of Ensemble Methods Compared To Traditional Machine Learning Techniques in Test Cricket Prediction"." International Journal of Advance and Applied Research 5, no. 23 (2024): 150–54. https://doi.org/10.5281/zenodo.13621970.

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Abstract: Predicting the outcomes of sports events is a complex task that involves various dynamic factors and uncertainties. This study aims to evaluate the effectiveness of ensemble methods in comparison to traditional machine learning techniques in predicting the results of sports events, with a specific focus on international test cricket matches involving the Indian cricket team. The models examined include Random Forest, a well-known ensemble method, and Decision Tree and Logistic Regression, representing traditional machine learning approaches. Using a comprehensive dataset of past

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Ramulu, P., E. Ramaraju Yadav, and D. Sattemma. "A Review of Mathematical Concepts in Sports and Games: Examining the Intersection of Mathematics and Sports." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–7. https://doi.org/10.55041/ijsrem39949.

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Math is essential to many sports and games, improving strategy, performance, and overall enjoyment. The mathematical ideas underlying various sports and games are reviewed in this essay, with an emphasis on their uses and ramifications. We look at the application of algebra, geometry, probability, and statistics in video games, chess, poker, and sports like basketball, football, tennis, golf, and cricket. According to our analysis, mathematical ideas are crucial for maximizing performance, arriving at wise decisions, and obtaining a competitive advantage. The possible advantages of combining m

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Boby, Farjana Akter, Shaybal Chanda, Vinosh Kumar Purushothaman, Baby Salini, Swamynathan Sanjaykumar, and Bekir Erhan Orhan. "Effect of cardiovascular fitness on performance metrics in Bangladeshi women cricket: a role-specific analysis employing the harvard step test." Retos 62 (November 11, 2024): 725–31. http://dx.doi.org/10.47197/retos.v62.109634.

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Background: Cardiovascular fitness is essential for sports performance, enabling players to endure intense training, delay fatigue, and reduce injury risk—all critical factors for achieving optimal results in competitive sports like cricket. Emphasizing inclusive health ensures that all athletes enhance their cardiovascular fitness and overall performance. Purpose: This study aimed to investigate the impact of cardiovascular fitness, assessed using the Harvard Step Test, on the performance indicators of Bangladeshi women cricketers across their respective playing roles. Method: 104 players, in

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Rand, D. M., and R. G. Harrison. "Molecular population genetics of mtDNA size variation in crickets." Genetics 121, no. 3 (1989): 551–69. http://dx.doi.org/10.1093/genetics/121.3.551.

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Abstract Nucleotide sequence analysis of a region of cricket (Gryllus firmus) mtDNA showing discrete length variation revealed tandemly repeated sequences 220 base pairs (bp) in length. The repeats consist of 206 bp sequences bounded by the dyad symmetric sequence 5'GGGGGCATGCCCCC3'. The sequence data showed that mtDNA size variation in this species is due to variation in the number of copies of tandem repeats. Southern blot analysis was used to document the frequency of crickets heteroplasmic for two or more different-sized mtDNAs. In New England populations of G. firmus and a close relative

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Dr., Chaitanya Kishore Reddy.M, Arshiya Mobeen Sk., Nithin Kumar U., and Mounika Sridevi P. "Quantifying and Analyzing the Performance of Cricket Player using Machine Learning." International Journal of Innovative Science and Research Technology 8, no. 5 (2023): 372–78. https://doi.org/10.5281/zenodo.7943372.

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In cricket, automation for learning, analyzing, guessing, and predicting is important. As cricket is a sport that is having high demand, no one knows who will win the game until the last over. And there are various factors inclusive of men or women, crew performances, and some diverse environmental elements that need to be taken into consideration in planning a recreation method as a result, we decided to create a machine-learning model to analyze the game using previous match data For this interest, we used a records evaluation and statistical equipment to procedure statistics and bring some

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Mayur Chavan, Mayur Chavan, Aditya R. Vyawahare Aditya R. Vyawahare, Ansh R. Bhutada Ansh R. Bhutada, Parth P. Ostwal Parth P. Ostwal, and Pranav K. Nimbalkar Pranav K. Nimbalkar. "Predicting Cricket Outcomes: A Comparative Analysis of Machine Learning Models for Optimal Accuracy." International Journal of Advances in Engineering and Management 7, no. 2 (2025): 210–13. https://doi.org/10.35629/5252-0702210213.

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—The project will focus on the development of a predictive model of cricket match outcomes on the basis of high advanced machine learning techniques and highly massive data concerning player statistics and match history with conditions prevailing on game day to build an intelligent system capable of forecast more accurate results than ever produced before. The model will compare several machine learning algorithms, including Decision Trees, Random Forest, Logistic Regression, and Neural Networks, in terms of which is likely to be most ef fective for prediction purposes.Some key features involv

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Coren, Stanley, and Diane F. Halpern. "A Replay of the Baseball Data." Perceptual and Motor Skills 76, no. 2 (1993): 403–6. http://dx.doi.org/10.2466/pms.1993.76.2.403.

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Fudin, Renninger, Lembessis, and Hirshon (1993) reported a nonsignificant longevity advantage for right-handers in their analysis of archival baseball data, although the absolute values are still in the predicted direction. Differences in specific data entries and analyses are difficult to resolve; however, there is some indication that the data base that they analyzed differs from that in our study. Further, their use of parametric statistics, given distributional problems and grossly unequal group sizes, may account for the nonsignificance they observed, when compared to the nonparametric an

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Gamage, Prasanna J., Lauren V. Fortington, and Caroline F. Finch. "Adaptation, translation and reliability of the Australian ‘Juniors Enjoying Cricket Safely’ injury risk perception questionnaire for Sri Lanka." BMJ Open Sport & Exercise Medicine 4, no. 1 (2018): e000289. http://dx.doi.org/10.1136/bmjsem-2017-000289.

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ObjectivesCricket is a very popular sport in Sri Lanka. In this setting there has been limited research; specifically, there is little knowledge of cricket injuries. To support future research possibilities, the aim of this study was to cross-culturally adapt, translate and test the reliability of an Australian-developed questionnaire for the Sri Lankan context.MethodsThe Australian ‘Juniors Enjoying Cricket Safely’ (JECS-Aus) injury risk perception questionnaire was cross-culturally adapted to suit the Sri Lankan context and subsequently translated into the two main languages (Sinhala and Tam

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Ringrose, Trevor J. "Neutral umpires and leg before wicket decisions in test cricket." Journal of the Royal Statistical Society: Series A (Statistics in Society) 169, no. 4 (2006): 903–11. http://dx.doi.org/10.1111/j.1467-985x.2006.00433.x.

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