Optimizing NBA Player Selection Strategies Based on Salary and Statistics Analysis

In National Basketball Association (NBA), how to comprehensively measure a player's efficiency and how to sign talented players with reasonable contracts are two challenging issues. This research explored the key indicators widely used to measure player efficiency and team performance. Through data analysis, two indicators, namely Player Efficiency Rating and Player Defense Rating, were chosen to formulate the prediction of the team winning rate. Besides, different player selection strategies were proposed according to different objectives and constraints. Experimental results show that the developed team winning rate prediction models have high accuracy and the player selection strategies are effective.