Three dimensional face reconstruction is a challenging problem, so much so that the mean face is highly competitive with recent learning-based approaches for 3D face reconstruction from 2D images. No other universal baselines for this task exist. We propose a novel baseline that selects a subset of face meshes, called OptiFaces, that minimise overall 3D reconstruction error. This is a universal approach to calculate dataset-specific metrics for 3D face reconstruction, offering intuitive new baselines for the interpretation of 3D reconstruction error.