Preprint Article Version 1 This version is not peer-reviewed

Using Objective Data Analysis to Construct and Evaluate NBA Players' Value Model

Version 1 : Received: 25 May 2018 / Approved: 25 May 2018 / Online: 25 May 2018 (12:00:44 CEST)

How to cite: Chang, C.. Using Objective Data Analysis to Construct and Evaluate NBA Players' Value Model. Preprints 2018, 2018050366 (doi: 10.20944/preprints201805.0366.v1). Chang, C.. Using Objective Data Analysis to Construct and Evaluate NBA Players' Value Model. Preprints 2018, 2018050366 (doi: 10.20944/preprints201805.0366.v1).

Abstract

The value of an NBA basketball player varies at each crucial point in time, depending on the player’s career and performance. This study constructs a player’s value assessment model. The model comprises two parts. First, from an objective perspective, entropy is employed to measure each player’s achievement in five categories—rebounds, assists, steals, blocked shots, and scores. The total entropy assessment value is calculated and then combined with the players’ scores to develop a player's value matrix to assess the relative value model among players of the same type.

Subject Areas

NBA; player’s value; entropy; multi-attribute decision-making; player’s value matrix; value positioning model

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