A Brownian Motion Model for the Progress of Sports Scores
@article{Stern1994ABM, title={A Brownian Motion Model for the Progress of Sports Scores}, author={Hal S. Stern}, journal={Journal of the American Statistical Association}, year={1994}, volume={89}, pages={1128-1134} }
Abstract The difference between the home and visiting teams' scores in a sports contest is modeled as a Brownian motion process defined on t ∈ (0, 1), with drift μ points in favor of the home team and variance [sgrave]2. The model obtains a simple relationship between the home team's lead (or deficit) l at time t and the probability of victory for the home team. The model provides a good fit to the results of 493 professional basketball games from the 1991-1992 National Basketball Association…
64 Citations
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Maddox et al. (2022) establish a new win probability estimation for college basketball and compared the results with previous methods of Stern (1994), Deshpande and Jensen (2016), and Benz (2019).…
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