generating, by a computing device, a test data matrix comprising a first dimension and a second dimension, each first dimension entry in a plurality of first dimension entries corresponding to a respective tested attribute of a plurality of tested attributes associated with a playing surface, each second dimension entry in a plurality of second dimension entries corresponding to a respective test location of a plurality of test locations on the playing surface;

determining, based on applying a clustering algorithm to at least a portion of the plurality of first dimension entries, a centroid associated with the test data matrix, wherein the centroid comprises a center of a multi-dimensional shape defined by the at least the portion of the plurality of first dimension entries;

determining a plurality of distances relative to the centroid; and

determining, based on a comparison of the plurality of distances to a reference data set, a playability score for the playing surface.