2018-19 Big Data Bowl
Recap of the NFL's inaugural Big Data Bowl.
Recap of the NFL's inaugural Big Data Bowl.
Congratulations to the winners of the NFL’s inaugural Big Data Bowl. Finalists presented their findings to members of the NFL league office, team executives, industry-leading representatives and league sponsors at the NFL Combine. The two grand prize winners received four tickets to a 2019 regular season NFL game and a $1,000 NFLShop.com gift card.
Matthew Reyers, Dani Chu, Lucas Wu, James Thomson, Simon Fraser University – Routes to Success
Nathan Sterken – RouteNet: a convolutional neural network for classifying routes
Recap of the first-ever Big Data Bowl.
Kyle Burris, Duke University – A trajectory planning algorithm for quantifying space ownership in professional football
Key Stat: In the play above, Carr released the pass only 0.3 seconds after Holton beat his defender, suggesting the quarterback knew he was going to Holton before the receiver broke free.
Peter Wu, Brendon Gu, Carnegie Mellon University – DIRECT: A two-level system for defensive interference rooted in repeatability, enforceability, clarity, and transparency
Jack Soslow, Jake Flancer, Eric Dong, Andrew Castle, University of Pennsylvania – Using autoencoded receiver routes to optimize yardage
Sameer Deshpande, Katherine Evans – Expected hypothetical completion probability
Cathy Ha, Lucas Calestini – Efficient speed usage and the impact of fatigue in speed performance: an exploratory study
Adam Vonder Haar – Exploratory data analysis of passing plays using NFL tracking data