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https://doi.org/10.1007/BF01132730

has been cited by the following article:

• TITLE: How to Win the House: NBA Odds Analysis and Predictions

  AUTHORS: Wenpeng Di, Bin Yuan, Haiyi Wen

  KEYWORDS: NBA Ranking, Linear Regressions, Dummy Variable

  JOURNAL NAME: Open Journal of Social Sciences, Vol.9 No.2, February 19, 2021

  ABSTRACT: In recent years, odd-making systems, from automated bookmakers and computer casino software to sophisticated market-research tools for betting and investment, have increasingly sought to capture the most accurate spread of outcome probabilities, and so betting odds have been increasingly dominated by algorithms for generating the spread (Spann & Skiera, 2009). This study analyzes NBA betting spreads and odds in the 2016-2017 season to investigate the degree to which these odds have succeeded in capturing the spread of the game in real-life. In this paper, models are developed by the method of multiple linear regression to predict the results of the game based on the team’s past performance. The model can help bookmakers optimize their algorithms. By reading this paper can also help the normal players with weak statistical base understand how the game works.