 
                                                                                | 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.