In general, participants submit predictions generated by methods from one of various categories. The options given for the method category are "alchemical", "physical", "mixed", or "other", with the last of these including a variety of other approaches including machine learning for example. Many methods used to generate free energy predictions were free energy methods based on statistical mechanics, and these could be divided into pathway-based and alchemical methods. These two categories of method should give equivalent answers, but that may not always be the case. It is important to ensure consistency of Δ estimates between independent methods, to increase confidence in their implementation and drive progress in the field. Here, we survey and compare ranked methods, particularly on similar methods based on the same energy model for consistency in the computed Δ .