Fun fact about me: I’ve played competitive volleyball for over 10 years, 5 years in Brazil when growing up and 5 years in the USA when I was in college. As a NCAA collegiate athlete, you are able to get access to every athlete’s statistics on a game of the season, no matter the sport played. For volleyball, in particular, the stats used to analyze an athlete’s performance can vary a lot as it’s a very fast game that require a broad skill set for many different plays, such as digs, assists, kills and blocks. Also, the stats used would include hitting errors, blocking errors, and hitting percentage. All of these statistics would always define a player’s performance and it would be a decision maker when a coach had to put a starter team together. At the end of the season, the players would be ranked by their record in scores and each different volleyball skill.This ranking happens on professional volleyball as well. It helps ranking each player by their professional records, which plays a big part in the hiring process of athletes for clubs all over the world. By using those statistics, not only volleyball clubs, but clubs of other sports, from all over the world make hiring decisions of players for the upcoming seasons. Also, the score a player gets by his or her performance, plus professional accomplishments, helps determine the salary range compatible for the type of player.
Therefore, big data analytics also has to do with sports, which help run a gigantic business in the world that involves a lot of money and international transactions.Visit my portfolio at www.amandakunrath.com
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