Lancaster EPrints

On Estimating the Ability of NBA Players.

Fearnhead, Paul and Taylor, Benjamin M. (2011) On Estimating the Ability of NBA Players. Journal of Quantitative Analysis in Sports, 7 (3). ISSN 1559-0410

[img]
Preview
PDF (NBA.pdf)
Download (191Kb) | Preview

    Abstract

    This paper introduces a new model and methodology for estimating the ability of NBA players. The main idea is to directly measure how good a player is by comparing how their team performs when they are on the court as opposed to when they are off it. This is achieved in a such a way as to control for the changing abilities of the other players on court at different times during a match. The new method uses multiple seasons' data in a structured way to estimate player ability in an isolated season, measuring separately defensive and offensive merit as well as combining these to give an overall rating. The use of game statistics in predicting player ability will be considered. Results using data from the 2008/9 season suggest that LeBron James, who won the NBA MVP award, was the best overall player. The best defensive player was Lamar Odom and the best rookie was Russell Westbrook, neither of whom won an NBA award that season. The results further indicate that whilst the frequently-reported game statistics provide some information on offensive ability, they do not perform well in the prediction of defensive ability.

    Item Type: Article
    Journal or Publication Title: Journal of Quantitative Analysis in Sports
    Uncontrolled Keywords: Defensive Ratings ; Game Statistics ; Offensive Ratings ; Rating NBA players
    Subjects: Q Science > QA Mathematics
    Departments: Faculty of Science and Technology > Mathematics and Statistics
    Faculty of Health and Medicine > Medicine
    ID Code: 33963
    Deposited By: Mr Benjamin Taylor
    Deposited On: 05 Aug 2010 15:05
    Refereed?: Yes
    Published?: Published
    Last Modified: 09 Oct 2013 15:41
    Identification Number:
    URI: http://eprints.lancs.ac.uk/id/eprint/33963

    Actions (login required)

    View Item