A crucial element for those participating in predictive sports simulations is the relative ease or difficulty of a team’s upcoming games. This metric assesses the opposition a team is slated to face, evaluating their historical performance against the positions relevant to the simulation. For example, an owner deciding between two running backs might favor the one whose team is scheduled to play several defenses known to be weak against the run.
Understanding this factor allows participants to make more informed decisions when selecting players and managing their rosters. It can highlight undervalued assets poised for strong performances and identify potential pitfalls in seemingly reliable choices. Its use has grown substantially alongside the increasing sophistication of sports simulations, evolving from simple win-loss records to complex statistical analyses that incorporate various defensive metrics and trends.