Unpacking Week 2: K-Means Clustering for DFS Insights
Image Credit: Ken Murray/Icon Sportswire. Pictured: Brian Robinson.

In this article we’ll explore the power of k-means clustering analysis to figure out how we could have taken down the slate the most effectively. By isolating the projected Vegas spread, game total, matchup, projected points, salary, risk, and reward, we should be able to uncover some insights to help us in the coming weeks. Week 2 of the NFL season brought us a plethora...

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Matt Spencer

Machine Learning Approach to Football Analytics with JavaScript

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