By: Edward Egros

Analyzing and Aiding Sports Analytics in Television

Sports analytics serve a variety of purposes, from quantitative measurements for how successful an athlete or team is, to predicting the outcome of a sporting event. Much of the development of analytics comes from athletes and teams implementing these tools for a competitive advantage.

Unfortunately for the media, there are several outside forces preventing sports analytics from being used more frequently on television. Still, some sports journalists have found ways to use and enhance these tools. In this paper, three nationally televised sports shows are analyzed for how they discuss analytics for their respective sport.

Using text mining techniques, it is possible to see the frequency of sports analytics and the complexity of the tools used in broadcasting, as well as—ultimately its primary purpose of the paper—how sports analytics are used to supplement a preexisting argument. This paper concludes by looking at other ways sports analytics can be used to enhance journalism.


To read this paper, click here.

Forecasting MLB World Champions Using Data Mining

Major League Baseball features an abundance of statistics and metrics used to measure how well players and teams perform during a season. Not only do those in the sport keep finding additional analytics means to determine success, but also more recently, data scientists have used this evolving information to try and forecast certain things within the sport.

It might be possible to find the right combination of measurements that will forecast which team is the likeliest to win the World Series, an event often tougher to predict than the larger regular season.


To read this paper, click here.