1. A method comprising: training a statistical model representing a network behavior for a radio access network comprising a plurality of radio access points, wherein the statistical model is trained using, at least in part, historical measurement data gathered from the radio access network that is associated with a plurality of previous user equipment (UE) handovers among the plurality of radio access points; collecting current measurement data associated with a source radio access point; and calculating a predicted network behavior for the radio access network for one or more potential UE handovers from the source radio access point to one or more target radio access points for one or more UE based, at least in part, on application of the current measurement data to the trained statistical model.