Personalizing prediction of performance using data and body-pose for analysis of sporting performance

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, tracking data for a sporting event between a first team and a second team;
• identifying, by the computing system, a scoring attempt event in the tracking data for the sporting event;
• determining, by the computing system, a set of players involved in the scoring attempt event, the set of players comprising a defensive player defending the scoring attempt event and an offensive player initiating the scoring attempt event;
• identifying, by the computing system, personalized embeddings corresponding to the defensive player;
• extracting, by the computing system, one or more features related to the scoring attempt event, the one or more features comprising a first set of location coordinates corresponding to an origination location of the offensive player initiating the scoring attempt event and a second set of location coordinates corresponding to an initial position of the defensive player when the offensive player initiated the scoring attempt event;
• and
• predicting, by the computing system, a likely outcome of the scoring attempt event based on the personalized embeddings of the defensive player and the one or more features related to the scoring attempt event.

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 tracking data for a sporting event between a first team and a second team;
• identifying a scoring attempt event in the tracking data for the sporting event;
• determining a set of players involved in the scoring attempt event, the set of players comprising a defensive player defending the scoring attempt event and an offensive player initiating the scoring attempt event;
• identifying personalized embeddings corresponding to the defensive player;
• extracting one or more features related to the scoring attempt event, the one or more features comprising a first set of location coordinates corresponding to an origination location of the offensive player initiating the scoring attempt event and a second set of location coordinates corresponding to an initial position of the defensive player when the offensive player initiated the scoring attempt event;
• and
• predicting a likely outcome of the scoring attempt event based on the personalized embeddings of the defensive player and the one or more features related to the scoring attempt event.