Method and system for interactive, interpretable, and improved match and player performance predictions in team sports

A non-transitory computer readable medium comprising one or more sequences of instructions, which, when executed by a processor, causes a computing system to perform operations comprising:

• receiving, by the computing system, lineup information for a sporting event, the lineup information comprising a first lineup comprising a first plurality of players for a home team and a second lineup comprising a second plurality of players for an away team;
• identifying, by the computing system, first team embeddings corresponding to the home team and first player-specific embeddings corresponding to the first plurality of players in the first lineup, the first team embeddings and the first player-specific embeddings having a lower dimension than the lineup information;
• identifying, by the computing system, second team embeddings corresponding to the away team and second player-specific embeddings corresponding to the second plurality of players in the second lineup, the second team embeddings and the second player-specific embeddings having the lower dimension than the lineup information;
• determining, by the computing system, a current context of the sporting event, the current context comprising a current score and a current time remaining;
• and
• generating, by the computing system via a predictive model, a predicted outcome of the sporting event based on the current context of the sporting event, the first team embeddings, the first player-specific embeddings, the second team embeddings, and the second player-specific embeddings.

A system comprising:

• a processor;
• and
• a memory having programming instructions stored thereon, which, when executed by the processor, causes the system to perform operations comprising:
• receiving lineup information for a sporting event, the lineup information comprising a first lineup comprising a first plurality of players for a home team and a second lineup comprising a second plurality of players for an away team;
• identifying first team embeddings corresponding to the home team and first player-specific embeddings corresponding to the first plurality of players in the first lineup, the first team embeddings and the first player-specific embeddings having a lower dimension than the lineup information;
• identifying second team embeddings corresponding to the away team and second player-specific embeddings corresponding to the second plurality of players in the second lineup, the second team embeddings and the second player-specific embeddings having the lower dimension than the lineup information;
• determining a current context of the sporting event, the current context comprising a current score and a current time remaining;
• and
• generating, via a predictive model, a predicted outcome of the sporting event based on the current context of the sporting event, the first team embeddings, the first player-specific embeddings, the second team embeddings, and the second player-specific embeddings.