The best NFL handicappers have a 66% success rate. Our algorithm had a success rate >70% over the past season. Can it predict the Super Bowl? You bet.
In this blog post, we explain how to create a predictive algorithm using common data analysis and machine learning techniques in order to predict the winners of NFL games. The sports-reference package pulls in key performance stats modified by Nate Silver's ELO rating to produce a model you can use out of the box, or fine tune to your liking.
Get started right away with our NFL Game Predictions Python environment for Windows or Linux, which contains a version of Python and all the packages you need to try it out. Game on!
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