Completion problems, of recovering a point from a set of observed coordinates, are
abundant in applications to image reconstruction, phylogenetics, and data science. We
consider a completion problem coming from algebraic statistics: to describe the completions
of a point to a probability distribution lying in a given log-linear model. When there are
finitely many completions, we show that these points either have a unique completion or
two completions to the log-linear model depending on the set of observed coordinates.