We examine whether the predictions of minimax in zero-sum games holds under highly incentivized conditions with highly informed informed decision makers. We examine data from 3455 National Football League (NFL) games from the 2000 season through the 2012 season. We categorize every relevant play as either a rush or a pass. We find that, despite the predictions of minimax, the pass-rush mix exhibits negative serial correlation. In other words, given the conditions of the play, teams employ an exploitable strategy in that play types alternate more frequently than implied by an independent stochastic process. We also find that the efficacy of plays are affected by previous actions and previous outcomes in a manner that is not consistent w...
Turnovers in the National Football League (NFL) occur whenever a team loses possession of the ball d...
How much does a fumble affect the probability of winning an American football game? How balanced sho...
In this paper, we use estimators of variable importance from the ensemble learning technique of rand...
We examine whether the predictions of minimax in zero-sum games holds under highly incentivized cond...
We investigate the strategic behavior of highly informed agents playing zero-sum games under highly ...
Game theory makes strong predictions about how individuals should behave in two player, zero sum gam...
JEL No. D01,D82 Game theory makes strong predictions about how individuals should behave in two play...
How much does a fumble affect the probability of winning an American football game? How balanced sho...
The minimax argument represents game theory in its most elegant form: simple but with stark predicti...
In this paper, the authors reexamine the data from B. O'Neill's (1987) experiment involving a repeat...
This paper explores how changing various end game statistics effects a given teams probability of wi...
This analysis is to determine if the winner against the spread of NFL regular season games can be pr...
This is an analysis on National Football League (NFL) data for the 2013-2014 regular season. The mai...
The minimax argument represents game theory in its most elegant form: simple but with stark predicti...
American Football is a billion-dollar industry in the United States. The analytical aspect of the sp...
Turnovers in the National Football League (NFL) occur whenever a team loses possession of the ball d...
How much does a fumble affect the probability of winning an American football game? How balanced sho...
In this paper, we use estimators of variable importance from the ensemble learning technique of rand...
We examine whether the predictions of minimax in zero-sum games holds under highly incentivized cond...
We investigate the strategic behavior of highly informed agents playing zero-sum games under highly ...
Game theory makes strong predictions about how individuals should behave in two player, zero sum gam...
JEL No. D01,D82 Game theory makes strong predictions about how individuals should behave in two play...
How much does a fumble affect the probability of winning an American football game? How balanced sho...
The minimax argument represents game theory in its most elegant form: simple but with stark predicti...
In this paper, the authors reexamine the data from B. O'Neill's (1987) experiment involving a repeat...
This paper explores how changing various end game statistics effects a given teams probability of wi...
This analysis is to determine if the winner against the spread of NFL regular season games can be pr...
This is an analysis on National Football League (NFL) data for the 2013-2014 regular season. The mai...
The minimax argument represents game theory in its most elegant form: simple but with stark predicti...
American Football is a billion-dollar industry in the United States. The analytical aspect of the sp...
Turnovers in the National Football League (NFL) occur whenever a team loses possession of the ball d...
How much does a fumble affect the probability of winning an American football game? How balanced sho...
In this paper, we use estimators of variable importance from the ensemble learning technique of rand...