The evolution of regulatory codes, standards, and practices has increased the need for risk modelling to become data-driven to support more informed decision making. One Call1 information is a source of regular insight into activities along the pipeline right of way that could influence excavation damage prediction algorithms. However, the treatment of One Call data related to threat impact is challenging. Advances in technology, analysis techniques, and quantity of data available and accessible now afford for data integration and the observation of meaningful outcomes regarding relevance of One Call data to leak and repairs based on related design and geospatial data elements. This paper will review the current challenges faced in excavation damage modelling used in pipeline risk algorithms, present alternatives for increasing granularity and value in the risk assessment, discuss the uncertainties involved with leveraging these alternatives, and share remaining work required to improve the accuracy, prediction, and reliability of excavation damage prediction algorithms.