System and method for predicting formation in sports

A computer-implemented method for training a mixture density network to predict a team formation, the computer-implemented method comprising:

• receiving, by one or more processors, one or more sets of event data from a data store;
• parameterizing, by the one or more processors, a neural network based on the one or more sets of event data;
• training, by the one or more processors, the neural network to predict an optimal formation of a plurality of players of a team;
• training, by the one or more processors, the neural network to predict a distribution of the plurality of players of the team based on the one or more sets of event data;
• and
• outputting, by the one or more processors, the trained neural network configured to predict a formation of the team.

A system for training a mixture density network to predict a team formation, comprising:

• a processor;
• and
• a memory having programming instructions stored thereon, which, when executed by the processor, performs one or more operations, comprising:
• receiving one or more sets of event data from a data store;
• parameterizing a neural network based on the one or more sets of event data;
• training, the neural network to predict an optimal formation of a plurality of players of a team;
• training the neural network to predict a distribution of the plurality of players of the team based on the one or more sets of event data;
• and
• outputting the trained neural network configured to predict a formation of the team.

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:

• receiving, by the computing system, one or more sets of event data from a data store;
• parameterizing, by the computing system, a neural network based on the one or more sets of event data;
• training, by the computing system, the neural network to predict an optimal formation of a plurality of players of a team;
• training, by the computing system, the neural network to predict a distribution of the plurality of players of the team based on the one or more sets of event data;
• and
• outputting, by the computing system, the trained neural network configured to predict a formation of the team.