Citations (10)
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Read on this site (4)
Lu Bai, Ridvan Gedik & Gokhan Egilmez. (2023) What does it take to win or lose a soccer game? A machine learning approach to understand the impact of game and team statistics. Journal of the Operational Research Society 74:7, pages 1690-1711.
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Dhruba Das, Hemanta Saikia, Dibyojyoti Bhattacharjee & Bhaskar Kushvaha. (2022) On estimating shot selection by a batsman in Twenty20 cricket: A probabilistic approach. Communications in Statistics: Case Studies, Data Analysis and Applications 8:2, pages 354-367.
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Dhanur Bhardwaj & Dan B Dwyer. (2022) Team technical performance in elite men’s and women’s T20 cricket – determinants of performance within a match and across a season. International Journal of Performance Analysis in Sport 22:2, pages 277-290.
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Tim B. Swartz. (2020) Where Should I Publish My Sports Paper?. The American Statistician 74:2, pages 103-108.
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Articles from other publishers (6)
R.K. Renin Singh & Subrat Sarangi. (2024) To attract viewers based on batting strike rate: an analysis of men’s international Twenty20 cricket. Sport, Business and Management: An International Journal 14:3, pages 425-442.
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Praveen Puram, Soumya Roy, Deepak Srivastav & Anand Gurumurthy. (2022) Understanding the effect of contextual factors and decision making on team performance in Twenty20 cricket: an interpretable machine learning approach. Annals of Operations Research 325:1, pages 261-288.
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Nayan Ranjan Das, Subhrojit Ghosh, Imon Mukherjee & Goutam Paul. (2023) Adoption of a ranking based indexing method for the cricket teams. Expert Systems with Applications 213, pages 118796.
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Aravind Subramanya Mysore, Vishal Bharadwaj, Rithik R. Mali & Bhaskarjyoti Das. 2023. Congress on Smart Computing Technologies. Congress on Smart Computing Technologies
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Muhammad Arslan Rauf, Haseeb Ahmad, CM Nadeem Faisal, Shahbaz Ahmad & Muhammad Asif Habib. (2020) Extraction of Strong and Weak Regions of Cricket Batsman through Text-Commentary Analysis. Extraction of Strong and Weak Regions of Cricket Batsman through Text-Commentary Analysis.
Guiliang Liu, Wang Zhu & Oliver Schulte. 2019. Machine Learning and Data Mining for Sports Analytics. Machine Learning and Data Mining for Sports Analytics
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