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- Creating space to shoot: quantifying spatial relative field goal efficiency in basketball by Shortridge, Ashton/ Goldsberry, Kirk and Adams, Matthew
- A Starting Point for Analyzing Basketball Statistics by Kubatko, Justin/ Oliver, Dean/ Pelton, Kevin and Rosenbaum, Dan T
- Predicting the draft and career success of tight ends in the National Football League by Mulholland, Jason and Jensen, Shane T.
- Effect of position, usage rate, and per game minutes played on NBA player production curves by Page, Garritt L./ Barney, Bradley J. and McGuire, Aaron T.
Revisiting the Hot Hand Theory with Free Throw Data in a Multivariate Framework
1Naval Postgraduate School
Citation Information: Journal of Quantitative Analysis in Sports. Volume 6, Issue 1, ISSN (Online) 1559-0410, DOI: 10.2202/1559-0410.1198, January 2010
- Published Online:
Despite the conventional wisdom of the existence of the hot hand" in basketball, studies have found no or weak evidence for the hot hand in game situations, although stronger evidence in controlled settings. Almost all studies have tested for the hot hand in univariate frameworks, often with inadequate power. I use a sample based on all free throws during the 2005-06 NBA season. With a multivariate framework with individual fixed effects, I find evidence for the hot hand" in that making the first free throw is associated with a significantly higher probability of making the second free throw.