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Trends in NBA and Euroleague basketball: Analysis and comparison of statistical data from 2000 to 2017

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  • Radivoj Mandić
  • Saša Jakovljević
  • Frane Erčulj
  • Erik Štrumbelj

Abstract

We analyse and compare NBA and Euroleague basketball through box-score statistics in the period from 2000 to 2017. Overall, the quantitative differences between the NBA and Euroleague have decreased and are still decreasing. Differences are even smaller after we adjust for game length and when playoff NBA basketball is considered instead of regular season basketball. The differences in factors that contribute to success are also very small—(Oliver’s) four factors derived from box-score statistics explain most of the variability in team success even if the coefficients are determined for both competitions simultaneously instead of each competition separately. The largest difference is game pace—in the NBA there are more possessions per game. The number of blocks, the defensive rebounding rate and the number of free throws per foul committed are also higher in the NBA, while the number of fouls committed is lower. Most of the differences that persist can be reasonably explained by the contrasts between the better athleticism of NBA players and more emphasis on tactical aspects of basketball in the Euroleague.

Suggested Citation

  • Radivoj Mandić & Saša Jakovljević & Frane Erčulj & Erik Štrumbelj, 2019. "Trends in NBA and Euroleague basketball: Analysis and comparison of statistical data from 2000 to 2017," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-17, October.
    • Handle: RePEc:plo:pone00:0223524
    DOI: 10.1371/journal.pone.0223524
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    References listed on IDEAS

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    1. Gabor Csataljay & Peter O’Donoghue & Mike Hughes & Henriette Dancs, 2009. "Performance indicators that distinguish winning and losing teams in basketball," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 9(1), pages 60-66, April.
    2. Hofler, Richard A. & Payne, James E., 1997. "Measuring efficiency in the National Basketball Association1," Economics Letters, Elsevier, vol. 55(2), pages 293-299, August.
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