At its core, the simulator operates as a data-driven modeling tool. It utilizes an extensive database of collegiate prospects, each categorized by position, skill set, and projected value. By mirroring the actual draft order and utilizing a set of ranking algorithms, the tool enables users to execute a full draft from the first overall pick to the final round, observing how specific choices impact the available talent pool for subsequent selections.
The primary objective of the platform is to provide a sandbox for hypothetical scenario testing. Rather than serving as a game, it acts as an analytical utility where the user can test the viability of different draft strategies. This includes assessing the likelihood of a specific prospect falling to a certain team or determining the optimal point to pivot from a 'Best Player Available' strategy to a 'Position of Need' approach.