Abstract
The NBA Draft is an annual event for the NBA to select new players, which is significant for both players and NBA teams. In this work, the main objective is to explore whether player draft rankings could reflect a player's career development in the NBA. With this aim, we built three multiple linear regression models based on the 10-year draft rankings collected from 2009-2018 and the NBA career data and college data for these players. The results of these analyses indicate that these variables of NBA players: G, PTS and BLK have the strongest associations with their NBA draft ranks in NBA games and that these variables: TG, FGP, P3PP, PPTS and PSTL in college statistics have strong associations with the future NBA draft rank. However, there are some outliers in the prediction results, which indicates that some abilities valued by the team cannot be reflected by data values.
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