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A Starting Point for Analyzing Basketball Statistics

Citations

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Cited by:

  1. Gryko Karol & Słupczyński Bogusław & Kopiczko Anna, 2016. "Impact of Regulation Change on Half-Court Offence in the Polish Basketball League," Polish Journal of Sport and Tourism, Sciendo, vol. 23(2), pages 70-75, June.
  2. Joseph Price & Justin Wolfers, 2010. "Racial Discrimination Among NBA Referees," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(4), pages 1859-1887.
  3. Jim Lackritz & Ira Horowitz, 2021. "The Value of Statistics Contributing to Scoring in the NBA: A Quantitative Approach," The American Economist, Sage Publications, vol. 66(2), pages 175-189, October.
  4. Štrumbelj, Erik & Vračar, Petar, 2012. "Simulating a basketball match with a homogeneous Markov model and forecasting the outcome," International Journal of Forecasting, Elsevier, vol. 28(2), pages 532-542.
  5. Shaoliang Zhang & Miguel Ángel Gomez & Qing Yi & Rui Dong & Anthony Leicht & Alberto Lorenzo, 2020. "Modelling the Relationship between Match Outcome and Match Performances during the 2019 FIBA Basketball World Cup: A Quantile Regression Analysis," IJERPH, MDPI, vol. 17(16), pages 1-11, August.
  6. 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.
  7. Braunstein Alexander, 2010. "Consistency and Pythagoras," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 6(1), pages 1-16, January.
  8. Sabin R. Paul, 2021. "Estimating player value in American football using plus–minus models," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 17(4), pages 313-364, December.
  9. Fabio Fonti & Massimo Maoret, 2016. "The direct and indirect effects of core and peripheral social capital on organizational performance," Strategic Management Journal, Wiley Blackwell, vol. 37(8), pages 1765-1786, August.
  10. Rodolfo Metulini & Giorgio Gnecco, 2023. "Measuring players’ importance in basketball using the generalized Shapley value," Annals of Operations Research, Springer, vol. 325(1), pages 441-465, June.
  11. 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.
  12. Gabel Alan & Redner Sidney, 2012. "Random Walk Picture of Basketball Scoring," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 8(1), pages 1-20, March.
  13. Fabio Fonti & Massimo Maoret, 2016. "The direct and indirect effects of core and peripheral social capital on organizational performance," Post-Print hal-01478950, HAL.
  14. Nikolaos Stavropoulos & Alexandra Papadopoulou & Pavlos Kolias, 2021. "Evaluating the Efficiency of Off-Ball Screens in Elite Basketball Teams via Second-Order Markov Modelling," Mathematics, MDPI, vol. 9(16), pages 1-13, August.
  15. Peter D. Lunn & David Duffy, 2017. "Are Perceptions of Greatness Accurate? A Statistical Analysis of Brian O’Driscoll’s Contribution to the Irish Rugby Team," The Economic and Social Review, Economic and Social Studies, vol. 48(1), pages 85-107.
  16. Miguel Ángel Pérez-Toledano & Francisco J Rodriguez & Javier García-Rubio & Sergio José Ibañez, 2019. "Players’ selection for basketball teams, through Performance Index Rating, using multiobjective evolutionary algorithms," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-20, September.
  17. Skinner Brian, 2010. "The Price of Anarchy in Basketball," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 6(1), pages 1-18, January.
  18. Brian Skinner, 2012. "The Problem of Shot Selection in Basketball," PLOS ONE, Public Library of Science, vol. 7(1), pages 1-8, January.
  19. Yiannis Nikolaidis, 2015. "Building a basketball game strategy through statistical analysis of data," Annals of Operations Research, Springer, vol. 227(1), pages 137-159, April.
  20. Yurko Ronald & Ventura Samuel & Horowitz Maksim, 2019. "nflWAR: a reproducible method for offensive player evaluation in football," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 15(3), pages 163-183, September.
  21. Turner, Chad & Hakes, Jahn Karl, 2007. "The Collective Bargaining Effects of NBA Player Productivity Dynamics," MPRA Paper 5058, University Library of Munich, Germany.
  22. Hubáček, Ondřej & Šourek, Gustav & Železný, Filip, 2019. "Exploiting sports-betting market using machine learning," International Journal of Forecasting, Elsevier, vol. 35(2), pages 783-796.
  23. Shortridge Ashton & Goldsberry Kirk & Adams Matthew, 2014. "Creating space to shoot: quantifying spatial relative field goal efficiency in basketball," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 10(3), pages 1-11, September.
  24. Matteo Pazzona, 2022. "Peer interactions and performance in a high‐skilled labour market," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(4), pages 1087-1116, October.
  25. Yurko Ronald & Ventura Samuel & Horowitz Maksim, 2019. "nflWAR: a reproducible method for offensive player evaluation in football," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 15(3), pages 163-183, September.
  26. Fearnhead Paul & Taylor Benjamin Matthew, 2011. "On Estimating the Ability of NBA Players," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(3), pages 1-18, July.
  27. Alessandro Chessa & Pierpaolo D’Urso & Livia Giovanni & Vincenzina Vitale & Alfonso Gebbia, 2023. "Complex networks for community detection of basketball players," Annals of Operations Research, Springer, vol. 325(1), pages 363-389, June.
  28. Paola Zuccolotto & Marco Sandri & Marica Manisera, 2023. "Spatial performance analysis in basketball with CART, random forest and extremely randomized trees," Annals of Operations Research, Springer, vol. 325(1), pages 495-519, June.
  29. Manlio Migliorati & Marica Manisera & Paola Zuccolotto, 2023. "Integration of model-based recursive partitioning with bias reduction estimation: a case study assessing the impact of Oliver’s four factors on the probability of winning a basketball game," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 107(1), pages 271-293, March.
  30. Kęstutis Matulaitis & Tomas Bietkis, 2021. "Prediction of Offensive Possession Ends in Elite Basketball Teams," IJERPH, MDPI, vol. 18(3), pages 1-11, January.
  31. Pierpalo D’Urso & Livia Giovanni & Vincenzina Vitale, 2023. "A Bayesian network to analyse basketball players’ performances: a multivariate copula-based approach," Annals of Operations Research, Springer, vol. 325(1), pages 419-440, June.
  32. Leonardo Lamas & José Vitor Senatore & Gilbert Fellingham, 2020. "Two steps for scoring a point: Creating and converting opportunities in invasion team sports," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-16, October.
  33. Leonardo Lamas & Felipe Santana & Matthew Heiner & Carlos Ugrinowitsch & Gilbert Fellingham, 2015. "Modeling the Offensive-Defensive Interaction and Resulting Outcomes in Basketball," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-14, December.
  34. Letian Zhang, 2019. "Who Loses When a Team Wins? Better Performance Increases Racial Bias," Organization Science, INFORMS, vol. 30(1), pages 40-50, February.
  35. Paola Zuccolotto & Marco Sandri & Marica Manisera, 2021. "Spatial Performance Indicators and Graphs in Basketball," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(2), pages 725-738, August.
  36. Jun Woo Kim & Mar Magnusen & Seunghoon Jeong, 2023. "March Madness prediction: Different machine learning approaches with non‐box score statistics," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2223-2236, June.
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