The impact of age on NBA player’s performances: A Data Mining approach

In the National Basketball Association (NBA), understanding how age impacts player performance is crucial for team general managers and coaches, allowing them to construct the most competitive rosters. This research paper aims to investigate the relationship between the player’s performances and their age by clustering the players into six groups based on their ages and comparing their performance indicators. For each group, multiple widely known indicators as the Individual Player Efficiency (EFF) and Player Efficiency Rating (PER), were used. Experimental results show the age at which players commonly reach peak performance levels. Using these results, general managers have a cutting edge when searching for new players to enhance their team performance.