Abstract
Based on market research, sports betting, now a $26 billion market is expected to grow to $60 billion by 2026. We plan to create a predictive solution for NBA games and player stats to help not only recreational and professional betters, but also sports franchises, who can use our advanced analytics to make more educated roster, coaching and strategy decisions for their respective teams. To do this, we will use several machine learning algorithms that are currently used to come up with ‘fair’ odds and will change these algorithms so that they are uncorrelated from bookmakers’ assessments. We will also use artificial neural networks to come up with our own predictive models based on the features we select, and lastly we plan on advising our users’ on the proper distributions of their bets.
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