By combining the relationship between the Δδ value, ion adsorption capacity, and gravimetric capacitance in a single graph (Figure ), we again find that carbons with small Δδ value and large ion adsorption capacities give rise to the largest capacitances (top right corner of Figure ). A similar plot with ion adsorption capacities, graphene-like domain sizes and capacitances was also obtained (Figure ). For carbons with similar graphene-like domain sizes (similar ∆δ value), the ion adsorption capacity becomes the dominant factor in determining capacitance. Conversely for carbons with similar ion adsorption capacities the sizes of the graphene-like domains (as measured by the ∆δ value) dominate (Figure ). Figure underscores the advantage of NMR spectroscopy, which simultaneously assesses both structural order and ion adsorption capacities with the electrolyte ions as the probe. Interestingly, carbons with smaller graphenelike domains (smaller ∆δ value) tend to exhibit larger ion adsorption capacities. We tentatively hypothesise that the graphene-like domain size might be inversely correlated with ion adsorption capacity, though more work is required to test this idea. Mapping ion adsorption capacity, Δδ values and gravimetric capacitance for a wide range of nanoporous carbons, we propose that the capacitance can be directly predicted from the ion adsorption capacity and the Δδ value, both measurable in a single NMR experiment. (Figure ). We used a linear regression approach combining Δδ values and ion adsorption capacities measured from NMR spectroscopy to predict capacitance (see Methods). The best fit for the expression for the capacitance is: