Recently, Grimme . presented a method (RMSD-PP) for the rapid estimation of reaction paths based on a semiempirical tight-binding model (GFN2-xTB ). The predicted path can be used in a barrier estimate and the maximum energy structure as a TS guess in more expensive methods. Here, the performance on both are tested. This method is attractive to use when screening large amounts of reactions, as it is not much more expensive than a geometry optimization and the GFN2-xTB method has been parameterised for the entire periodic table up to Z = 86. However, for it to be practically useful it needs to work in an automated framework.