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Predicting outcomes of NBA basketbal...

Jones, Eric Scot.

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Predicting outcomes of NBA basketball games.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Predicting outcomes of NBA basketball games./
Author:	Jones, Eric Scot.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2016,
Description:	67 p.
Notes:	Source: Masters Abstracts International, Volume: 55-06.
Contained By:	Masters Abstracts International55-06(E).
Subject:	Statistics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10150581
ISBN:	9781369053470

Predicting outcomes of NBA basketball games.
Jones, Eric Scot.

Predicting outcomes of NBA basketball games. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 67 p.

Source: Masters Abstracts International, Volume: 55-06.

Thesis (M.S.)--North Dakota State University, 2016.

A stratified random sample of 144 NBA basketball games was taken over a three-year period, between 2008 and 2011. Models were developed to predict point spread and to estimate the probability of a specific team winning based on various in-game statistics. Statistics significant in the model were field-goal shooting percentage, three-point shooting percentage, free-throw shooting percentage, offensive rebounds, assists, turnovers, and free-throws attempted. Models were verified using exact in-game statistics for a random sample of 50 NBA games taken during the 2011-2012 season with 88-94% accuracy. Three methods were used to estimate in-game statistics of future games so that the models could be used to predict a winner in games played by Team A and Team B. Models using these methods had accuracies of approximately 62%. Seasonal averages for these in-game statistics were used in the model developed to predict the winner of each game for the 2013-2016 NBA Championships.

ISBN: 9781369053470Subjects--Topical Terms:

517247
Statistics.

Predicting outcomes of NBA basketball games.
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500 $a Source: Masters Abstracts International, Volume: 55-06.
500 $a Adviser: Rhonda Magel.
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520 $a A stratified random sample of 144 NBA basketball games was taken over a three-year period, between 2008 and 2011. Models were developed to predict point spread and to estimate the probability of a specific team winning based on various in-game statistics. Statistics significant in the model were field-goal shooting percentage, three-point shooting percentage, free-throw shooting percentage, offensive rebounds, assists, turnovers, and free-throws attempted. Models were verified using exact in-game statistics for a random sample of 50 NBA games taken during the 2011-2012 season with 88-94% accuracy. Three methods were used to estimate in-game statistics of future games so that the models could be used to predict a winner in games played by Team A and Team B. Models using these methods had accuracies of approximately 62%. Seasonal averages for these in-game statistics were used in the model developed to predict the winner of each game for the 2013-2016 NBA Championships.
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