Abstract: A system and method are provided for creating and evaluating computational models for games (e.g., individual or team sports games, etc.), team performance, and individual player performance evaluation. The method comprises obtaining data associated with the team game, the information comprising at least one individual player activity, at least one team activity, at least one game event, and a location in space and time for each of the events and activities; generating quantitative values for the data associated with the team game; and evaluating either or both an individual player and a team using the quantitative values.

Abstract: Embodiments of the present disclosure pertain to network based machine learning generated simulations. In one embodiment, the present disclosure includes a computer implemented method comprising sending first code comprising a programmable calculator from a server system to a client system across a network. A data request is sent to a database, the data request configured to retrieve data from the database comprising a plurality of fields and a target field. The retrieved data is processed using a machine learning algorithm to produce a weight for each field of the plurality of fields and a scoring data structure. The fields and the scoring data structure are sent to the client system across the network. A user selects values for the plurality of fields and the programmable calculator is configured based on the scoring data structure to generate a simulated value for the target field based on the user selected values.

Abstract: Embodiments of the present disclosure pertain to network based machine learning generated simulations. In one embodiment, the present disclosure includes a computer implemented method comprising sending first code comprising a programmable calculator from a server system to a client system across a network. A data request is sent to a database, the data request configured to retrieve data from the database comprising a plurality of fields and a target field. The retrieved data is processed using a machine learning algorithm to produce a weight for each field of the plurality of fields and a scoring data structure. The fields and the scoring data structure are sent to the client system across the network. A user selects values for the plurality of fields and the programmable calculator is configured based on the scoring data structure to generate a simulated value for the target field based on the user selected values.

Abstract: A system and method are provided for creating and evaluating computational models for games (e.g., individual or team sports games, etc.), team performance, and individual player performance evaluation. The method comprises obtaining data associated with the team game, the information comprising at least one individual player activity, at least one team activity, at least one game event, and a location in space and time for each of the events and activities; generating quantitative values for the data associated with the team game; and evaluating either or both an individual player and a team using the quantitative values.