Golf equipment identification and fitting system

A system for identifying golf equipment, the system comprising:

• a display;
• at least one input device for receiving static input;
• and
• at least one processor and memory operatively connected to the display and the at least one input device, the memory storing instructions that, when executed by the at least one processor, cause the system to perform a set of operations comprising:
• receiving a plurality of shot data for a plurality of professional golfers;
• separating, by the at least one processor, the shot data into N data sets;
• selecting, by the at least one processer, a training data set and a test data set;
• setting, by the at least one processer, initial machine-learning model parameters;
• training, by the at least one processor, the machine-learning model with the training data set;
• assessing, by the at least one processor, an accuracy of the machine-learning model based on whether the machine-learning model accurately identifies a tour professional based on the test data set;
• storing the machine-learning model in the memory;
• receiving static input and first dynamic input for a first swing by a golfer with a golf club, wherein the static input includes at least one golf-equipment characteristic and the dynamic input includes swing characteristics of the golf club for the first swing;
• executing, by the at least one processor, the trained machine-learning model based on the received static input and the dynamic input for the first swing to generate first output for the golfer, wherein the trained machine-learning model has been trained from shot data comprising prior static inputs and prior dynamic inputs for a plurality of golf shots from a plurality of professional golfers;
• and
• displaying, on the display, the first output for the golfer, wherein the first output comprises identification of a matched professional golfer that most closely matches the received static input and dynamic input for the first swing.