I explored this idea in the 11th installment of the Best Ball Theory podcast this summer (2022), but I’ll relate it to DFS here. Assuming a perfectly balanced Nash equilibrium from all agents in a given game, the optimal strategy is to remain within the confines of said equilibrium at every decision point. In other words, we should strive to maintain equilibrium as no player can generate any edge by deviating from optimal strategy. The problem with this notion in direct application to DFS is twofold: (1) the game itself is far from a balanced state, and (2) there . . .