A new in-form and role-based Deep Player Performance Index for player evaluation in T20 Cricket

Prakash, C. Deep; Verma, Sanjay

doi:10.1016/j.dajour.2022.100025

Cited by 7 publications

(4 citation statements)

References 31 publications

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“…However, the absence of opportunities to succeed can lead to psychological distress for an athlete or any other person (Kuok et al, 2021). This is vital in the context of the growing popularity of T20, the shortest and fastest form of cricket, due to it being the most lucrative for players, administrators, coaches, and owners, as well as a popular format for attracting fans (Noorbhai & Noakes, 2018; Petersen et al, 2009; Prakash & Verma, 2022).…”

Section: Discussionmentioning

confidence: 99%

“…Cricket is a sport that encompasses fielding, batting, and bowling, which requires cognitive stimulation 1 (Prakash & Verma, 2022). The sport comprises different formats (i.e., Test, One Day Internationals [ODIs], and Twenty20 [T20]), which has different physiological and psychological demands.…”

Section: Introductionmentioning

confidence: 99%

“…This was evident in multiple studies: players suffered from mental health illness (Myall et al, 2021); injuries, and a decline in performance due to the tight schedule (Poucher et al, 2021). Prakash and Verma (2022) have posited that data mining techniques play an essential role in ensuring an athlete performs optimally and can detect any anomalies when performance declines. Athletes usually experience demands that are different from the general population, argue Gavrilova and Donohue (2018), and this necessitates treatment that is tailored for their needs.…”

Section: Introductionmentioning

confidence: 99%

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The Impact of COVID-19 on Male Semiprofessional Cricket Player’s Mental Health and Performance Following the Resumption of Sporting Events

Malele,

Noorbhai

2023

Am J Mens Health

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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 (ROM), push-abdominal test, crazy catch test, t-test, 40-m sprint, and Cooper’s test. Inferential statistics included Spearman’s correlations with a significance level set at α < .05. Spearman’s correlation reported a statistically significant relationship for SWLS and body mass index (BMI) ( r = −0.263; p = .037) as well as between stress and abdominal test ( r = 0.355; p = .004); crazy catch test ( r = 0.249; p = .049); Cooper’s test ( r = 0.335; p = .009), VO2max ( r = 0.308; p = .014), stress and abdominal test ( r = −0.313; p = .012); as well as anxiety and 40-m sprint ( r = 0.488; p = .027). This study provides an important snapshot of how symptoms of mental health are associated with performance. Further research should investigate the relationship between mental health and performance parameters among male players at varied skill levels.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Impact of COVID-19 on Male Semiprofessional Cricket Player’s Mental Health and Performance Following the Resumption of Sporting Events

Malele,

Noorbhai

2023

Am J Mens Health

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“…There are usually billions of dollars invested in the sports sector [1]. In the modern sporting world, a vast array of coaches, specialists, physiotherapists, dietitians, and trainers support athletes and teams internationally [2]. Among the most well-known sports on this planet, cricket is the one.…”

Section: Introductionmentioning

confidence: 99%

Cricket Players Selection for National Team and Franchise League using Machine Learning Algorithms

Md. Robel,

Md. Ashikur Rahman Khan,

Ishtiaq Ahammad

et al. 2023

Cloud Computing and Data Science

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Cricket player selection is a crucial task for both national teams and franchise leagues. Traditionally, selectors rely on their experience and knowledge to evaluate a player's physical fitness, batting, and bowling performance. However, with the advancements in machine learning algorithms, it is possible to automate and improve the selection process. In this research, a Machine Learning (ML)-based approach is proposed for cricket player selection. This approach uses a combination of physical fitness data, batting and bowling statistics, and other relevant metrics to create a comprehensive player profile. Then three ML algorithms-linear regression, support vector regression, and random forests-are employed to identify the most promising players. Data is collected on a large number of cricket players and their performance in national and franchise leagues from the two most prominent cricket websites, espncricinfo, and cricbuzz, to evaluate the proposed approach. Then the proposed approach trained and tested the ML models on this data and compared their accuracy and performance. Based on the performance scores obtained from these models, two squads are selected for the national team and one squad for each franchise league team. The results demonstrate that the proposed approach can significantly improve the selection process and identify players with high potential. Furthermore, results found that the support vector regression algorithm outperformed other ML models in terms of prediction and player selection.

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System Evaluation of Team and Winner Prediction in One Day International Matches with Scenario Based Questionnaire

Ishi,

Patil,

Patil

2024

Communications in Computer and Information Science

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A new in-form and role-based Deep Player Performance Index for player evaluation in T20 Cricket

Cited by 7 publications

References 31 publications

The Impact of COVID-19 on Male Semiprofessional Cricket Player’s Mental Health and Performance Following the Resumption of Sporting Events

The Impact of COVID-19 on Male Semiprofessional Cricket Player’s Mental Health and Performance Following the Resumption of Sporting Events

Cricket Players Selection for National Team and Franchise League using Machine Learning Algorithms

System Evaluation of Team and Winner Prediction in One Day International Matches with Scenario Based Questionnaire

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