Hybrid method of assessing and predicting athletic performance

A system for evaluating or predicting athletic performance of a group of athletes at an athletic event, comprising:

• a processor that receives and stores a deterministic model before an athletic event, the deterministic model having an input of a set of initial conditions of the athletic performance and an output representative of a prediction of said athletic performance, wherein the deterministic model is initially based only upon said set of initial conditions and mathematical equations representative of laws of nature such that a mechanistic relationship between the input and output is established, the deterministic model operable to generate a constant output state for any set of initial conditions, thereby providing said prediction of the athletic performance at the athletic event;
• one or more sensors located on more than one individual, athletic equipment, or in an athletic environment measuring at least one aspect of the athletic performance of the individuals,
• said processor located remotely from the sensors configured to receive stochastic observational data from the sensors during the athletic performance for use with stored deterministic model of the athletic performance;
• said processor further configured to hybridize the stored deterministic model of the athletic performance with the stochastic observational data received from the sensors to produce a function that generates for any set of initial conditions, even initial conditions neither observed by sensors during nor contributing to hybridization, probability distributions over possible output states, thereby enabling probabilistic predictions of the athletic performance of the individual at the athletic event.

An apparatus for concurrently evaluating and executing an athletic performance of an athlete or athletes:

• a processor pre-configured with only a function that generates for any set of initial conditions, even initial conditions neither observed by sensors during nor contributing to hybridization, probability distributions over possible output states, thereby enabling probabilistic predictions of the athletic performance of the athlete;
• sensors configured to provide stochastic observational measurements to said processor;
• and
• audio, visual, or haptic output components that convey to at least one individual representations of the probability distributions to the athlete or athletes for enabling the athlete or athletes to make adjustments to their athletic performance.