While much literature shows that the ratings assigned by critics and judges to wines are stochastic, no author has yet proposed and tested a probability mass function (PMF) to describe the distribution of those ratings. This article presents a discrete and bounded normal PMF for wine ratings. That PMF is then tested using the ratings that 72 wine judges assigned to blind triplicates. The results can be employed to improve wine-related research by recognizing and including the effects of the uncertainty that surrounds a rating observed. Results also show that the distributions of judges’ ratings are usually and significantly different from the distribution of random draws.