Patent ID: 11935298
Assignee: STATS LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 12:
13. A non-transitory computer readable medium including one or more sequences of instructions that, when executed by one or more processors, causes a computing system to perform operations, comprising:
retrieving, by the computing system, one or more sets of event data for a plurality of events, wherein each set of event data corresponds to a segment of each respective event;
providing, by the computing system, the one or more sets of event data to train a deep neural network to predict an optimal permutation of players in each segment of each respective event;
receiving, by the computing system, a trained prediction model configured to predict a formation of players based on determining a distribution of players for each segment based on the corresponding event data retrieved from a data store and the optimal permutation of players;
receiving, by the computing system, target event data corresponding to a target event, the target event data comprising information directed to a team comprising a plurality of players on a playing surface; an-GI
predicting, by the computing system via the trained prediction model, an expected formation of the plurality of players on the playing surface based on the target event data and a semantic label associated with the expected formation; and
displaying, by the computing system, the semantic label associated with the expected formation of the plurality of players.