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DeepShot is a machine learning model designed to predict NBA game outcomes using advanced team statistics and rolling averages. It combines historical performance trends with contextual game data to deliver highly accurate win predictions (71%)
This repository contains an NBA over/under prediction app built with Python and Flask. The app uses machine learning to make predictions on the over/under bets for NBA games. The user can input information about a game and the app will provide a prediction on the over/under total.