The GDCC dataset, which includes OA and exo-OA host-guest systems, had the most submissions, probably because this host is familiar to many participants since it has formed part of a variety of previous SAMPL challenges. The statistical analysis of 4 sets of ranked methods are shown in Figure . For the entire GDCC dataset there was not a clear top performing method in terms of RMSE, R 2 , , and slope, but the RESP/GAFF/MMPBSA-Cor and AMOEBA/DDM/BAR methods were the two top performing methods. Again, the AMOEBA/DDM/BAR method emerged among the top performers, but unlike in the TrimerTrip challenge it is not the top method by all error metrics. The RESP/GAFF/MMPBSA-Cor method had the top ΔG RMSE, R 2 , and values of 1.24 kcal/mol, 0.94, and 0.83 respectively. Essentially, the latter approach seems to have done slightly better at ranking compounds for binding than the AMOEBA-based approach, but with a slope which is systematically incorrect. Full performance statistics are in Table .