7/1/2023 0 Comments Jared butler pro comparison![]() ![]() No GM can hit on every single pick but increasing their odds as much as possible should always be at the front end of their process. To me, using a decision/classification tree method based on historical data, to help in draft selection is akin to making march madness picks. Drafting is an inexact science with many layers, but if GMs could filter the universe of players with the highest probability of success, to a manageable pool to select from, their bust rates would be reduced substantially. Based on the historical data provided from sites such as and, I tried to build a classification tree for first round prospects with the goal of producing some level of likelihood of NBA success as an NBA all-star. The idea of a classification tree is to split players into groups where each group has similar positive/negative qualities to best determine probability of making at least one all-star team. This seems like a great place to use a classification tree. The NBA draft is upon is and I decided to take a dive into recent history to see if there are any trends or statistics that can help determine potential busts and/or be able to filter what pool NBA teams should be swimming in to find all star caliber players. ![]() 2021 NBA DRAFT- Historical Analytical Deep Dive Can We Filter Draft Prospects to Find an All-Star ![]()
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