If you could predict with high accuracy whether a team will call a pass play or a run play during a game, you might be able to write your own ticket into NFL stardom! Well an industrial engineer with a Statistics minor and an alumni Statistics major, both from North Carolina State University (NCSU) may have developed a mechanism into just such stardom.
William Burton and Michael Dickey from NCSU have built a statistical model that predicts the play-calling tendency of NFL teams with high accuracy. To test their model, the two randomly selected 20 games from completed NFL seasons. The model's best result was correctly predicting 91% of plays in a 2014 game between Jacksonville and Dallas with the average prediction accuracy over all 20 games at 75%.
We may just be reading about Coach Burton or Coach Dickey in the not to distant future.
For more information on their work, click here.
For more information on our very own statistical offerings, click here
Spotlight on AMS
Congratulations to Carson Kent
Carson Kent is a recent recipient of a 2015 National Science Foundation (NSF) Graduate Research Fellowship (GRF) for his research proposal on Quantum Error Correction in the field of Computational and Mathematical Engineering. The GRF provides 3 years of support for the graduate education of individuals who have demonstrated their potential for significant achievements in science and engineering.
Carson is joined by 4 other outstanding Mines students, Ashley Bucsek in Mechanical Engineering, Katerina Gonzales in Geophysical Engineering, Kimberly Slinski in Hydrologic Science & Engineering, and Bradley Wilson in Geophysical Engineering.
Congratulations Carson on an excellent proposal and good luck on your future research!
Check out the opportunities inside AMS or Ask Us if you have any questions.