This paper documents a modeling exercise intended to supplement a NAVAIR System Safety Risk Assessment performed at the Lakehurst Naval Air Station. The System Safety Risk Assessment focused on an event that involved a mode mismatch for the Guidance, Navigation and Control (GNC) software for an MQ-8B Fire Scout unmanned rotorcraft which had potential to result in catastrophic consequences. A modeling exercise was performed in parallel to the traditional NAVAIR System Safety Risk Asessment as part of an Office of Naval Research (ONR) Summer Faculty Fellowship. The purpose was to explore the use of an Object-Oriented Bayesian Network (OOBN) as a possible supplementary tool for NAVAIR System Safety analysts. The Hugin Bayesian Belief Network (BBN) software tool was used to construct the OOBN. A probabilistic model supports making inferences about changes to the states of the causal factors or the presence or absence of mitigations. The Hugin BBN software tool facilitates the computation of sensitivity values based on perturbations to the contributing factors identified in the conditional probability tables. This leads to identification of the most sensitive causal factors with respect to a Mishap probability. Lessons learned from the modeling exercise regarding the analytics for constructing the OOBN are provided.