Analysing factors impacting Bangladesh men's T20 cricket performance

Main Article Content

Anamul Haque Sajib
https://orcid.org/0009-0000-0583-4045
Shakib Hasan Limon
https://orcid.org/0009-0008-5943-8695
Adiat Ibn Naser
https://orcid.org/0009-0002-6252-0442
Goutam Saha
https://orcid.org/0000-0001-6467-298X

Abstract

Over the past decade, the T20 cricket format has witnessed a remarkable surge in popularity within the cricketing community. While top-tier teams such as England, Pakistan, Australia, India, and South Africa have embraced this format with ease, others like Bangladesh, Afghanistan, Zimbabwe, and Sri Lanka are facing challenges in adapting to it. This study seeks to identify the key factors influencing the performance of the Bangladesh men's cricket team, utilizing data sourced from ESPNcricinfo. The binary logistic regression model is considered to analyze the data as the response variable is binary (match won or lost). Examining the output of the binary logistic regression, it becomes evident that factors such as 'Location' (the venue where a match took place), 'Most Wickets' (wherein at least one player took 3 or more wickets), and 'One-Digit Score' (signifying scenarios where less than 3, 3 to 6, or more than 6 batsmen scored in the one-digit range) exhibit notable and statistically significant effects on team performance. Notably, variables such as the inclusion of Shakib Al Hasan and the Five Pillars (the concurrent presence of Mashrafe Bin Mortaza, Tamim Iqbal, Shakib Al Hasan, Mushfiqur Rahim, and Mahmudullah Riyad) do not demonstrate any substantial impact on the team's performance. These research findings hold the potential to inform strategic planning aimed at enhancing the Bangladesh men's cricket team's performance.

Article Details

How to Cite
Sajib, A. H., Limon, S. H., Naser, A. I., & Saha, G. (2023). Analysing factors impacting Bangladesh men’s T20 cricket performance. Scientific Journal of Sport and Performance, 3(1), 79–94. https://doi.org/10.55860/ENNL4841
Section
Performance Analysis of Sport and Physical Conditioning
Author Biographies

Anamul Haque Sajib, University of Dhaka

Department of Statisitcs.

Shakib Hasan Limon, University of Dhaka

Department of Statisitcs.

Adiat Ibn Naser, University of Dhaka

Department of Statisitcs.

Goutam Saha, University of Dhaka

Department of Mathematics.

References

Bangladesh Cricket Board. (2021). Official T20 International Records. Retrieved from [Accessed 12/05/2023]: https://www.tigercricket.com.bd/

CricketStats+. (2022). Advanced Cricket Statistics and Analytics.

Dey, P. K., Ghosh, D. N., & Mondal, A. C. (2011). A MCDM approach for evaluating bowlers performance in IPL. Journal of emerging trends in Computing and Information Sciences, 2(11).

Dey, P. K., Ghosh, D. N., & Mondal, A. C. (2015). IPL team performance analysis: a multi-criteria group decision approach in fuzzy environment. IJ Information Technology and Computer Science, 8, 8-15. https://doi.org/10.5815/ijitcs.2015.08.02 DOI: https://doi.org/10.5815/ijitcs.2015.08.02

ESPNCricinfo. (2021). Bangladesh Cricket Team's Profile. Retrieved from [Accessed 12/05/2023]: https://www.espncricinfo.com/team/bangladesh

Kimber, A. (1993). A graphical display for comparing bowlers in cricket. Teaching Statistics, 15(3), 84-86. https://doi.org/10.1111/j.1467-9639.1993.tb00664.x DOI: https://doi.org/10.1111/j.1467-9639.1993.tb00664.x

Kimber, A. C., & Hansford, A. R. (1993). A statistical analysis of batting in cricket. Journal of the Royal Statistical Society Series A: Statistics in Society, 156(3), 443-455. https://doi.org/10.2307/2983068 DOI: https://doi.org/10.2307/2983068

Perera, G.H. P (2015). Cricket Analytics.

Petersen, C., Pyne, D. B., Portus, M. J., & Dawson, B. (2008a). Analysis of Twenty/20 cricket performance during the 2008 Indian Premier League. International Journal of Performance Analysis in Sport, 8(3), 63-69. https://doi.org/10.1080/24748668.2008.11868448 DOI: https://doi.org/10.1080/24748668.2008.11868448

Petersen, C., Pyne, D. B., Portus, M. R., Cordy, J., & Dawson, B. (2008b). Analysis of performance at the 2007 Cricket World Cup. International Journal of Performance Analysis in Sport, 8(1), 1-8. https://doi.org/10.1080/24748668.2008.11868417 DOI: https://doi.org/10.1080/24748668.2008.11868417

Sharma, S. K. (2013). A factor analysis approach in performance analysis of T-20 cricket. Journal of Reliability and Statistical Studies, 69-76.

Singh, S. (2011). Measuring the performance of teams in the Indian Premier League. American Journal of Operations Research, 1(3), 180. https://doi.org/10.4236/ajor.2011.13020 DOI: https://doi.org/10.4236/ajor.2011.13020

Sloane, S. (2020). Analysis of performance indicators in IPL Twenty20 Cricket from 2015 to 2017 (Doctoral dissertation, University of the Free State).

Subhani, M. I., Hasan, S. A., & Osman, M. A. (2012). Will T20 clean sweep other formats of Cricket in future?.

Van Staden, P. J. (2009). Comparison of cricketers' bowling and batting performances using graphical displays.

Wickramasinghe, I. P. (2014). Predicting the performance of batsmen in test cricket. https://doi.org/10.14198/jhse.2014.94.01 DOI: https://doi.org/10.14198/jhse.2014.94.01