Dynamically determining a region of effectiveness of athletes during game play based on predictive factors

A computer program product for training a machine learning system to determine and display a real-time volume of effectiveness of a target, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computing device to cause the computing device to:

• monitor sensor data during gameplay of a sporting event;
• determine an effectiveness of a play made by a target;
• determine a dataset of predictive factors associated with a target based on the monitoring the sensor data;
• generate and store a training data record that associates the effectiveness of the play with the dataset of predictive factors;
• determine a dataset of real-time predictive factors based on the monitoring the sensor data;
• determine the real-time volume of effectiveness for the target based on the dataset of real-time predictive factors and the generating the training data record;
• and
• output the real-time volume of effectiveness for displaying the real-time volume of effectiveness around the target.

A system comprising:

• a processor, a computer readable memory and a computer readable storage medium associated with a computing device;
• program instructions to monitor sensor data during gameplay of a sporting event;
• program instructions to determine a volume of effectiveness for a primary target based on the monitoring the sensor data and a first set of predictive factors associated with the primary target;
• program instructions to determine a volume of effectiveness for a secondary target based on the monitoring the sensor data and a second set of predictive factors associated with the secondary target;
• program instructions to determine a third set of predictive factors associated with the secondary target that minimize the volume of effectiveness for the secondary target;
• program instructions to determine one or more suggested actions for the primary target to introduce the third set of predictive factors and minimize the volume of effectiveness for the secondary target;
• and
• program instructions to display the volume of effectiveness for the primary target, the volume of effectiveness for the secondary target, and the suggested actions,
• wherein the program instructions are stored on the computer readable storage medium for execution by the processor via the computer readable memory.

A computer-implemented method comprising:

• generating, by a computing device, a plurality of training data records for a target of a sporting event, wherein the training data records each identify a measure of effectiveness of a play made by the target, and a dataset of historical predictive factors associated with each measure of effectiveness;
• monitoring, by the computing device, sensor data of the sporting event in real time;
• determining, by the computing device, a dataset of real-time predictive factors for the target based on the monitoring the sensor data;
• determining, by the computing device, a real-time volume of effectiveness for the target based on the dataset of real-time predictive factors and the generating the plurality of training data records;
• and
• outputting, by the computing device, the real-time volume of effectiveness for displaying the real-time volume of effectiveness around the target.