How can lower-level data sources be connected to provide a credible system-level prediction of vehicle vulnerability? This paper presents a case study that demonstrates an approach to this problem that emphasizes the use of fundamental statistical techniques in the context of a combat scenario that depicts a ground vehicle being engaged by indirect artillery.