The evaluation of a workforce’s aggressive problem by way of the aggregation of its opponents’ data is a standard technique for evaluating relative efficiency. One prevalent strategy includes summing the successful percentages of all opponents confronted by a selected workforce. This mixture worth offers a single metric indicating the general toughness of the schedule. For instance, a workforce that has performed in opposition to groups with constantly excessive win charges could be understood to have encountered a extra demanding set of video games.
An understanding of a workforce’s schedule problem is useful in evaluating groups throughout totally different leagues or time durations, enabling a extra contextualized evaluation of their accomplishments. It presents insights past win-loss data alone, as a workforce with a much less favorable report in opposition to a harder schedule could also be considered extra favorably than a workforce with a greater report in opposition to weaker opponents. This consideration has traditionally been related in faculty {and professional} sports activities, notably when evaluating groups for postseason rivalry.
