Article ID: | iaor2001809 |
Country: | United States |
Volume: | 13 |
Issue: | 2 |
Start Page Number: | 13 |
End Page Number: | 21 |
Publication Date: | Apr 1999 |
Journal: | Journal of Sport Management |
Authors: | Boronico J.S., Newbert S.L. |
Keywords: | programming: dynamic, game theory |
This manuscript presents a model to assist in the determination of optimal American football play selection for first down and goal situations. A game theoretic approach is embedded within a stochastic dynamic programming formulation, resulting in a mixed strategy satisfying the ex-ante declared objective of maximizing the probability of scoring a touchdown. The methodology provides a quantitative framework to a problem that impacts on team performance and addresses a gap in the literature concerning the application of quantitative methods to sports.