This paper adopts the STEAMS approach (Science, Technology, Engineering, Artificial Intelligence, Math, and Statistics) in sports. In particular, baseball and basketball were used in the study. Modern sports have to apply concepts of science in their playing to enhance their individual capabilities and team performances. For example, the Magnus effect, the force that makes a spinning ball swerve, is prevalent in every basketball shot and in baseball, where the pitches can vary in spin and direction. Regression analysis and AI neural network modeling were used to analyze NBA data to predict the season winning percentage of each team. The accuracy of prediction was improved by neural network models.
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