System and method for improved structural discovery and representation learning of multi-agent data

A non-transitory computer readable medium comprising instructions which, when executed by a computing system, cause the computing system to perform operations comprising:

• retrieving, by a computing system, player tracking data for a plurality of players across a plurality of events, the player tracking data comprising coordinates of player positions during each event;
• initializing, by the computing system, the player tracking data based on an average position of each player in the plurality of events;
• learning, by the computing system, an optimal formation of player positions based on the player tracking data using a Gaussian mixture model;
• aligning, by the computing system, the optimal formation of player positions to a global template by identifying a distance between each distribution in the optimal formation and each distribution in the global template to generate a learned formation template;
• and
• assigning, by the computing system, a role to each player in the learned formation template.

A system comprising:

• a processor;
• and
• a memory having programming instructions stored thereon, which, when executed by the processor, performs operations comprising:
• receiving a request from a client device to identify a team's formation and role assignment across a selected subset of games, wherein the request defines a context within each game of the subset of games;
• retrieving player tracking data for the selected subset of games, the player tracking data comprising coordinates of player positions during each game;
• filtering the player tracking data to identify frames corresponding to the defined context;
• learning an optimal formation of player positions based on the player tracking data and the defined context using a Gaussian mixture model to generate a learned formation template;
• assigning a role to each player in the learned formation template;
• and
• generating a graphical representation of a structured representation of a team's formation across the subset of games for the defined context.