In summary, we developed a data-driven strategy to predict metal-ligand coordination preferences. To do so, we first curated a diverse dataset of 70,069 unique, synthetically accessible ligands of known metal-ligand connectivity in transition metal complexes from the CSD. Analysis of this dataset revealed trends in common coordinating atom counts and identities well-represented in experimental investigations, such as the fact that bidentate ligands are the most common in the dataset and that ruthenium is the most frequently coordinating metal, which we rationalize in terms of the stabilizing chelate effect for bidentate ligands and the catalytic and pharmacological relevance of ruthenium TMCs. Nevertheless, we also observed deviations from expectations for particular transition metals, notably the high frequency of five-coordinate ligands bonding to iron and four-coordinate ligands coordinating to nickel, which could be expected from the abundance of ferrocene and bis(cyclooctadiene) nickel derivatives in the CSD.