The statistics on the distribution of interaction energies for xenon and krypton calculated by our grid algorithm can help quantify the change of selectivity. These statistics include moments of different orders (up to 4) of the energy distribution, which informs on the adsorbate-adsorbent interaction energies in the nanopores at higher loading. The shape of the energy distribution can help assess quantitatively the change in selectivity. We can consider this as a way of compressing the whole energy distribution into a few statistical values, which is a standard method used in the field of data science to tackle distribution data. We also apply the same approach to the Boltzmann weighted distributions to generate temperature specific descriptors for the energy distributions.