Sports Analytics

Management of structured historical data, application of predictive analytic models that utilize that data, and the use of information systems to inform decision makers (personnel executives, coaches, trainers, etc. and enable them to help their organizations in gaining a competitive advantage on the field of play. Understanding the tools of sports analytics is important to create a competitive advantage.

Goals

1. Save the decision maker time by making all of the relevant information for evaluating players or teams or prospects efficiently available
2. Provide decision makers with novel insight. Analytic models allow decision makers to gain insight into teams and players that are not possible without advanced statistical analysis. Analytic models have many uses, but their core function is to turn raw data into reliable and actionable information.

Many teams across sports use analytic models to aid in their selection of players. Differences in player performances are the result of a variety of factors, such as team mates, system, opponents, and the player’s ability to perform

Now that leagues exist for almost all sports, it is essential to understand sports analytics and use it for winning.