International Journal of Electrical and Computer Engineering (IJECE) Vol. 9, No. 5, October 2019, pp. 4423~4432 ISSN: 2088-8708, DOI: 10.11591/ijece.v9i5.pp4423-4432  4423 Journal homepage: http://iaescore.com/journals/index.php/IJECE Data visualization and toss related analysis of IPL teams and batsmen performances Vidit Kanungo, Tulasi B Department of Computer Science, CHRIST (Deemed to be University), India Article Info ABSTRACT Article history: Received Feb 10, 2019 Revised Apr 16, 2019 Accepted Apr 25, 2019 Sports play a very significant role in the development of the human persona. Getting involved in games like Cricket and other various sports help us to build character, discipline, confidence and physical fitness. Indian Premier League, IPL provides the most successful form of cricket as it gives opportunities to young and talented players to show case their talents on various pitch. Decision-makers are the utmost customers for all fundamentals in the sports analytics framework. Sports analytics has been a smash hit in shaping success for many players and teams in various sports. Sports analytics and data visualization can play a crucial role in selecting the best players for a team. This paper is about the Toss Related analysis and the breadth of data visualization in supporting the decision makers for identifying inherent players for their teams. Keywords: Data visualization Sports analytics Player performance “Spyder” tool “R” tool Copyright © 2019 Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author: Vidit Kanungo, Department of Computer Science, CHRIST (Deemed to be University), 77/38 Pius Villa,1st Main, 11th Cross, Bharathi Layout, DRC post, SG Palya, India. Email: viditwork5@gmail.com 1. INTRODUCTION Sports analytics and Data Visualization has provided a greater platform for Player selectors, managers and also the players to increase on field performance. Decision makers and analysis, the next piece of the framework, is the process of applying statistical tools and algorithms to data to gain insight into what is likely to happen in the future. Sports analytics [1] is being applied in various sports like Soccer, basketball and cricket. Each movement of the ball, the player strike rate, run rate, everything is captured using special camera systems and other recording mechanisms. This data is run through various statistical algorithms, tools and visualization techniques to provide deeper insight and pave way for recommendations to the player or team. With the ease of obtaining and storing data, advanced analytics and machine learning techniques are applied to engineer a predictive model for various team sports like cricket. There are three versions of cricket – Test matches, One-day Internationals and Twenty20. Test Cricket is one of the highest-level formats which is played bettween two countries over the duration of five days, ODI is considered as a limited over formats of cricket and T20 is one of the latest and successful forms of cricket. The T20 format gave birth to Indian Premier League (IPL) a professional league contested during April and May of every year [2]. It was initiated by BCCI (Board of Control for Cricket in India) in 2008. This shorter version of cricket is one of the most successful one in terms of fan engagement and business. Everyone enjoys this shorter version of cricket. The main objective of this league is to provide a platform for young and talented players. IPL works on the franchise system of hiring players. There are eight teams in IPL. Each team is a group of eleven players consisting of batsmen, bowler, and all-rounders. This tournament is being played in different cities, because of this, there is a huge fan following with a lot of media interest and business involvement. IPL is a mixture of talent and opportunity so basically player performance is the key factor in this. Various other key