Stats Instructor & Computer Science Major make a play for the NFL

As access to large datasets in professional sports becomes more readily available, the ability to use that information to gain an edge on competitors and make the game more interactive for viewers has become increasingly popular.  Statistics instructor Bryan Nelson together with sophomore computer science major Adam Richman have used a collection of in-game variables and advanced statistics to develop a model that predicts if a team in the National Football League will pass or run on their next play with over 75% accuracy.  They recently had the opportunity to present their findings to former NFL quarterback and current ESPN analyst Ron Jaworski as well as NFL analyst Greg Cosell at the headquarters of NFL Films in Mount Laurel, New Jersey.  Nelson and Richman have plans to expand their research to include predicting the length of a pass and direction of a run.