Systems and methods for automated analysis of fitness data

A computer-implemented method comprising:

• as implemented by one or more computing devices configured with specific executable instructions,
• electronically receiving workout data indicating performance of a user with respect to each of a plurality of workouts completed by the user;
• generating a plurality of fitness sub-scores for the user, wherein each of the plurality of fitness sub-scores indicates a performance level of the user with respect to at least one of a movement, a fitness category or a fitness trait;
• determining an overall fitness level for the user based at least in part on the plurality of fitness sub-scores;
• identifying at least one outlying sub-score among the plurality of fitness sub-scores based at least in part on a comparison of the outlying sub-score to the overall fitness level;
• automatically determining a potential cause of the at least one outlying sub-score based at least in part on a score type associated with the outlying sub-score;
• and
• generating a user interface for presentation to the user based at least in part on the automatic determination, wherein the user interface identifies the determined potential cause of the at least one outlying sub-score.

A computer-readable, non-transitory storage medium storing computer executable instructions that, when executed by one or more computing devices, configure the one or more computing devices to perform operations comprising:

• electronically receiving workout data indicating performance of a user with respect to each of a plurality of workouts completed by the user;
• generating a plurality of fitness sub-scores for the user, wherein each of the plurality of fitness sub-scores indicates a performance level of the user with respect to at least one of a movement, a fitness category or a fitness trait;
• determining an overall fitness level for the user based at least in part on the plurality of fitness sub-scores;
• identifying at least one outlying sub-score among the plurality of fitness sub-scores based at least in part on a comparison of the outlying sub-score to the overall fitness level;
• automatically determining a potential cause of the at least one outlying sub-score based at least in part on a score type associated with the outlying sub-score;
• and
• generating a user interface for presentation to the user based at least in part on the automatic determination, wherein the user interface identifies the determined potential cause of the at least one outlying sub-score.