Beating the Books: Using Machine Learning to Make Money Sports Betting

In this article, I’m going to cover how I built a basic machine learning model to bet on the NBA. The quick version: I built a model based on sklearn’s GradientBoostingRegressor to bet over/under with a 58% success rate over 140 NBA games. The long version: I am a grad student in <a href="https://wpcarey.asu.edu/masters-programs/business-analytics" rel="noopener ugc nofollow" target="_blank">Arizona State University’s MSBA program</a> and a former Division 3 student-athlete at <a href="https://www.beloit.edu/" rel="noopener ugc nofollow" target="_blank">Beloit College</a>. I graduated from Beloit College in the spring of 2021 with a Bachelor’s in Quantitative Economics and hopes of becoming a professional data scientist. I decided the best way for me to accomplish this was to come down to Tempe, AZ, and enroll in a Master’s in Business Analytics. When I moved from Wisconsin to Arizona in August of 2021 something magical happened; online sports betting went live in Arizona. <a href="https://medium.com/codex/beating-the-books-using-machine-learning-to-make-money-sports-betting-7b5195b405d2">Learn More</a>