Statistical comparisons and creation of rankings of performance of basketball players
DOI:
https://doi.org/10.47197/retos.v55.103749Keywords:
performance, basketball, advanced statistics, estimation error, rankingsAbstract
This research has proposed a method to perform rankings of basketball players based on normalized statistical metrics from the box-score. By considering the error of each estimate, taking the number of regular season games as a finite population, this method is much more robust and rigorous than simple comparisons of specific average values. Through the analysis of each match of the 2020/21 NBA regular season, the 72 matches of each of the 30 teams in the competition were recorded, obtaining 22989 different records, which in turn were linked to dozens of performance indicators in the match. The results show that, indeed, the method based on inferential statistics and development of rankings using normalized metrics provides advantages for making a much more rigorous comparison of player performance.
Keywords: performance, basketball, advanced statistics, estimation error, rankings
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