Objective: The aim of this study was to create mathematical modeling to generate statistical models that reliably and quickly identify facial type while smiling. This analysis enables the creation of a digital design for the prosthetic restoration of the anterior teeth. Materials and methods: The study involved the computer analysis of 91 facial images. Through mathematical modeling, digital facial maps were generated consisting of 27 landmark points and 12 basic lines determining the facial type. Four main facial types were defined for the purposes of this study: strong, dynamic, delicate, and calm. Selected data were recorded in a database and analyzed using IBM SPSS Modeler software. Results: A varying number of combinations characterize the face; 61.5% of people have the features of two facial types, and 38.5% of three facial types. The overall analysis of the data for both genders shows the most accurate model for predicting facial type by digital facial map is the created algorithm C5.1 (classification tree), with a general prediction accuracy of 84.3%. Conclusion: Dental Anatomical Combinations with Rebel Simplicity systems is a constructive way to ensure harmonious unity between the teeth and the facial type. Digital facial maps provide reliable and fast identification of the facial type while smiling. This analysis enables the creation of a digital design for the prosthetic restoration of the anterior teeth.