Abstract
Cricket is rated as one of the most famous game across the globe. It has all the possibility to grab the attentions of audience and candidates and in the other hand attentions from researchers as well. Numerous monetary organizations are focusing on this interesting game for profit making and are involving man power and resources towards the task of cricket data analytic. In this paper, an attempt has been made to quantify the active events that count towards the final result of a cricket match. Mainly the batsman scoring efficiency (BSP) and the effective bowling skill (EBS) are taken into consideration for the purpose. These two indicators are used to compute the real time efficiency (RTE) of a particular cricket team. A comparison among the RTE measures of two teams playing each other can be utilized to predict the winner of an ongoing match. User defined functions and equations are framed through this proposed work. Simulation of the proposed framework is carried out on sufficient number of samples. The statistical cricket data samples are chosen from ODI (one day international) matches only. The simulation outcomes reveal a satisfactory justification in for of the validity of the proposed work.
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Vetukuri, V., Sethi, N., Rajender, R., Reddy, S.S. (2022). Analytic for Cricket Match Winner Prediction Through Major Events Quantification. In: Chen, J.IZ., Tavares, J.M.R.S., Shi, F. (eds) Third International Conference on Image Processing and Capsule Networks. ICIPCN 2022. Lecture Notes in Networks and Systems, vol 514. Springer, Cham. https://doi.org/10.1007/978-3-031-12413-6_14
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