Each summer’s NBA draft pick is a significant event for all NBA stakeholders. An underdog team may immediately be hailed the champion contender in the next 10 years if they can draft a future superstar (such as Michal Jordan, Lebron James, and Stephen Curry). Not many people know clearly how the NBA general manager or coach evaluate the players in the NBA draft pick. The STEAMS methodology can be applied to the NBA draft potential on choosing the appropriate player position by comparing a star Stanford basketball player to the current top 50 NBA players for the Swing Guard and Small Forward positions. Based on the 2019 NBA Draft, this player’s position is still not well defined. JMP multivariate correlation analysis has concluded that this player has greater potential if playing as a Small Forward. Clustering Analyses grouped the college player with 3 similar NBA players. When comparing their statistics, this college player may identify differences which could help the NBA’s draft potential prediction. Current sports organizations are increasingly driven by data analyses, and STEAMS, a powerful and holistic approach, can be applied to other sports such as soccer and football on predicting awards and team performance.
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