Numerous computer models have been developed and refined to address the forecast track of a tropical cyclone, but they are hampered by interactions across numerous scales. Fortunately, tropical cyclones are largely steered by semi-permanent weather systems, and complimentary analog tools can help fine-tune the forecast track. One tool used to assess landfall probability for major hurricanes in South Florida has been the “Hebert Box”, which is a five by five degree box through which if a storm passed resulted in greater likelihood of a south Florida landfall. With the advent of a consolidated global tropical cyclone dataset, the International Best Track Archive for Climate Stewardship, IBTrACS, such prognostic boxes were determined for the other tropical cyclone-prone basins. This presentation will outline the process through which these global Hebert Boxes were developed. Using the 20th century reanalysis data of sea-level pressures, the synoptic climatology for those storms passing through the boxes will also be shown. The presentation will conclude with a statistical discussion of the predictability of the boxes.