Sports Data Visualization

Team Members: Se Yeon "Sally" Kim, Joshua Kulas, Sakshi Pratap, Arjun Srinivasan, John Thompson, John Stasko
Alumni: Andy Cox, Fengbo Li, Hannah Pileggi, Chad Stolper

Few areas involve, generate, and celebrate data in the manner that sports does. Almost any sport, be it individual or team, produces large amounts of data as the result of matches, data that then can be studied and used in order to improve for the future. Large amounts of data lend themselves to statistical analytics, and this lies at the core of the area known as "Sports Analytics". This area continues to gain popularity and is perhaps most connected to the sport of baseball, largely through the work of people like Bill James and through books and films such as Moneyball. More recently, other sports, including basketball, soccer, professional football, ice hockey, and golf have begun to be the focus of analytics research. Unfortunately, there has been surprisingly little application of visualization technology to sports data. There simply is a dearth of tools that present sports data and allow people to explore and analyze the data interactively. Such tools could not only enhance the enjoyment of fans, but also assist media coverage and team officials' decision making.

Here at Georgia Tech, we have created and taught a seminar on Sports Analytics. We've been fortunate to have some of the top people in Sports Analytics visit and give talks. We also co-organized the very first Workshop on Sports Data Visualization which was held at the IEEE VIS 2013 meeting.

Specific projects on sports data visualization from our lab include:

NFL Draft Vis - Visualizing the NFL Draft.

NFL Super Bowls - Visualizing NFL season and Super Bowl History.

Best Golf Courses - Visualizing the Top-rated Golf Courses in the United States.

NBAVis - Visualizing NBA Player and Team Data.

SnapShot - Visualizing Ice Hockey Shot Data.

SportVis - Visualizing baseball data.