DFMDock (Denoising Force Matching Dock) is a diffusion model that unifies sampling and ranking within a single framework for rigid protein-protein docking. It features two output heads: one for predicting forces (trained with denoising force matching) and one for predicting energies (trained to align with forces). Sampling uses predicted forces; ranking uses predicted energies — eliminating the need for an additional confidence model.