Physics – Data Analysis – Statistics and Probability
Scientific paper
2011-09-13
Physics
Data Analysis, Statistics and Probability
10 pages, 14 figures; version 2: 20 pages, 8 figures, for publication in Journal of Quantitative Analysis in Sports
Scientific paper
We present evidence, based on play-by-play data from all 6087 games from the 2006/07--2009/10 seasons of the National Basketball Association (NBA), that basketball scoring is well described by a weakly-biased continuous-time random walk. The time between successive scoring events follows an exponential distribution, with little memory between different scoring intervals. Using this random-walk picture that is augmented by features idiosyncratic to basketball, we account for a wide variety of statistical properties of scoring, such as the distribution of the score difference between opponents and the fraction of game time that one team is in the lead. By further including the heterogeneity of team strengths, we build a computational model that accounts for essentially all statistical features of game scoring data and season win/loss records of each team.
Gabel Alan
Redner Sid
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