Each summer’s NBA Draft event is a Big Thing for Basketball Sports Stakeholders. One bottom team may become Champion Contender in next 10 years if they could have drafted a superstar like Michal Jordan, Lebron James, Stephen Curry… There is always a puzzle on how the NBA GM or Coach have evaluated the players in NBA Draft. The STEAMS methodology can also be applied to the NBA Draft Potential on choosing the appropriate player position by comparing one college basketball super star (Stanford Sophomore Player) to the current top 50 NBA players on both Swing Guard and Small Forward Positions. Based on the 2019 NBA Draft Sites, this player’s position is still not well defined. JMP multivariate correlation analysis has concluded that this player has a greater NBA potential if playing at Small Forward position. Further Clustering Analysis could also group the college players with similar NBA players. The most three similar NBA stars are identified. When comparing their statistics, this college player may identify the gaps and which may help NBA Coach or GM on draft potential prediction. The STEAMS concept and methodology can be applied to other Sports such as Soccer, Football on predicting Individual Award, and Team Performance. Modern sports business is increasingly driven by Data and STEAMS holistic approach can be very powerful.
0 Comments
|