We have presented (to our knowledge) the largest CSP dataset produced to-date, serving as a computational survey of crystal packing in the organic solid state for small, rigid molecules. Using established, well-characterised CSP methods, we produced crystal structure energy landscapes for over 1000 such molecules, all of which have at least one known, solved crystal structure available in the CSD. In total, our CSP landscapes contain over 4 million unique crystal structures, each with an associated lattice energy at a consistent level of theory. We have assessed the quality of the dataset by evaluating its reliability at predicting the known crystal structures of these molecules, both in terms of the quality of the geometric match of the crystal structures and the resulting energy ranking of the experimental forms on their respective landscapes compared to other hypothetical structures. Our CSP approach is overwhelmingly successful at predicting crystal structures of these simple molecules -over 99% of all experimental structures have a match located in our CSP searches. 41% of experimental structures are predicted to be the global energy minimum on their landscapes, and 74% are found within 2 kJ/mol of this minimum, a margin equivalent to the estimated error introduced by ignoring thermal effects and ranking based solely on static, 0 K lattice energies. Geometrically, the typical discrepancy between experimental structures and their closest predicted matches is comparable to the thermal fluctuations in experimental crystal structure solutions of the same solid form obtained at low temperatures versus ambient conditions. Such remarkable performance demonstrates the consistency and accuracy of our chosen methods for optimising and ranking these structures.