I have played around with various forms of machine learning and predictive algorithms to find the most accurate and logical NBA all-in-one advanced metric but have ran into a number of issues that caused me to re-think my process. I started to research different popular advanced metrics such as BPM, LEBRON, RAPTOR, and even PIE…

Check out the most recently updated LG Hoops Advanced Metric! I’ve updated the logic to include Plus/Minus% and stats like deflections, along with cutting down on some more double-counted statistics. The stats are all pulled from the NBA API (the NBA website), and are considered free data. The metric is found through the use of…

I have been playing around with Python (a programming language) and data manipulation tools to create my own LG Hoops advanced metric. This is my first version of my own metric which utilizes machine learning and theories such as ‘random forest’ (an algorithm technique) to project the overall value of each player. The stats leveraged…