Analytics can be used to predict fatigue and improve athletes' performance in various sports

Abstract

In sports analytics, statistics are plugged into a mathematical model to predict the outcome of a given play or game. Coaches use it to optimize plays during games,while front offices can use it to decide which players need development. The prediction of key variables have been explored through the use of artificial intelligence1 . For this to happen, predictive models can provide insight into an athlete's condition by acting as an “automated data analyst”2 . Fatigue is usually defined when a person feels tired,sluggish, weary, or exhausted.There are many types of fatigue described in sport science literature, including cardiovascular fatigue, biomechanical fatigue, respiratory fatigue, and mental fatigue3 . Our results do not focus on a specific type, it is a general approach.