Player Performance Analysis
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1329-5_27
Reference16 articles.
1. Rodrigues N, Sequeira N, Rodrigues S, Shrivastava V (2019) Cricket squad analysis using multiple random forest regression. Int Conf Adv Inf Technol (ICAIT). https://doi.org/10.1109/icait47043.2019.8987367
2. Jayanth SB, Anthony A, Abhilasha G, Shaik N, Srinivasa G (2018) A team recommendation system and outcome prediction for the game of cricket. J Sports Analytics 4(4):263–273. https://doi.org/10.3233/jsa-170196
3. Prakash CD, Verma S (2022) A new in-form and role-based deep player performance index for player evaluation in T20 cricket. Decis Analytics J 2:100025. https://doi.org/10.1016/j.dajour.2022.100025
4. Wickramasinghe I (2014) Predicting the performance of batsmen in test cricket. J Hum Sport Exerc 9(4):744–751. https://doi.org/10.14198/jhse.2014.94.01
5. Irvine SA, Kennedy R (2017) Analysis of performance indicators that most significantly affect international twenty20 cricket. Int J Perform Anal Sport 17(3):350–359. https://doi.org/10.1080/24748668.2017.1343989
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