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Relative Importance of Performance Factors in Winning NBA Games in Regular Season versus Playoffs

Author

Listed:
  • Teramoto Masaru

    (University of Nevada, Las Vegas)

  • Cross Chad L.

    (University of Nevada, Las Vegas)

Abstract

In the National Basketball Association (NBA), there are high expectations for the post-season among the teams having the league's best regular season records. However, not every team who plays great basketball in the regular season will succeed in the playoffs. The Phoenix Suns, for example, had the third best regular season record from the 2004-05 through 2006-07 seasons; however, not once did they reach the NBA Finals during those years. We hypothesized that how teams win games in the NBA differs between the regular season and the playoffs. This paper discusses the relative importance of performance factors in winning basketball games in the past 10 years of the NBA (between the 1999-2000 and 2008-2009 seasons). Specifically, we examined the contributions of overall efficiency (offensive and defensive ratings), along with the Four Factors (effective field goal percentage, turnover percentage, rebound percentage, and free throw rate) to winning games in the regular season and the playoffs, using a multiple linear regression and a logistic regression analysis. The results of these analyses indicate that efficient offense and defense are both essential to be successful in the regular season and the playoffs, but the importance of defense in winning games may be greater in the playoffs than in the regular season. Shooting efficiency on both ends of the floor (offensive and defensive effective field goal percentages) seems to be the most critical aspect of the game in the regular season as well as the playoffs. In addition, committing fewer turnovers could be another key to winning games, especially in the regular season. It appears that defense becomes more important for winning playoff series as a team advances further in the post-season. Lastly, rebounding may play a significant role in deciding the outcome of the Conference Finals where two teams most likely have similar shooting efficiency and turnover rates.

Suggested Citation

  • Teramoto Masaru & Cross Chad L., 2010. "Relative Importance of Performance Factors in Winning NBA Games in Regular Season versus Playoffs," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 6(3), pages 1-19, July.
    • Handle: RePEc:bpj:jqsprt:v:6:y:2010:i:3:n:2
    DOI: 10.2202/1559-0410.1260
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    References listed on IDEAS

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    1. Kubatko Justin & Oliver Dean & Pelton Kevin & Rosenbaum Dan T, 2007. "A Starting Point for Analyzing Basketball Statistics," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 3(3), pages 1-24, July.
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    Cited by:

    1. Mauro Caselli & Paolo Falco & Babak Somekh, 2024. "Inside the NBA Bubble: how Black players performed better without fans," Journal of Population Economics, Springer;European Society for Population Economics, vol. 37(2), pages 1-20, June.
    2. Ira Horowitz, 2018. "Competitive Balance in the NBA Playoffs," The American Economist, Sage Publications, vol. 63(2), pages 215-227, October.
    3. Jackson P. Lautier, 2023. "A New Framework to Estimate Return on Investment for Player Salaries in the National Basketball Association," Papers 2309.05783, arXiv.org.
    4. Baghal Tarek, 2012. "Are the "Four Factors" Indicators of One Factor? An Application of Structural Equation Modeling Methodology to NBA Data in Prediction of Winning Percentage," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 8(1), pages 1-17, March.
    5. Zongpeng Zhai & Yongbo Guo & Yuanchang Li & Shaoliang Zhang & Hongyou Liu, 2020. "The Regional Differences in Game-Play Styles Considering Playing Position in the FIBA Female Continental Basketball Competitions," IJERPH, MDPI, vol. 17(16), pages 1-11, August.
    6. Manner Hans, 2016. "Modeling and forecasting the outcomes of NBA basketball games," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 12(1), pages 31-41, March.
    7. Song, Kai & Shi, Jian, 2020. "A gamma process based in-play prediction model for National Basketball Association games," European Journal of Operational Research, Elsevier, vol. 283(2), pages 706-713.
    8. Ozmen M. Utku, 2012. "Foreign Player Quota, Experience and Efficiency of Basketball Players," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 8(1), pages 1-18, March.

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