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Activity Number: 573
Type: Contributed
Date/Time: Wednesday, August 6, 2014 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Sports
Abstract #311431 View Presentation
Title: Beyond Runs Expectancy
Author(s): Jim Albert*+
Companies: Bowling Green State University
Keywords: Baseball ; Bayesian ; Multilevel modeling ; Sabermetrics
Abstract:

One important idea in sabermetrics is the runs expectancy matrix which gives the average number of runs in the remainder of the inning in 24 different runner/outs situations. However the basic runs expectancy matrix only describes the performance of an average offense against an average defense. We develop a reasonable sampling model for runs scored and illustrate efficient ways of simultaneously estimating run scoring distributions for all major league teams, and under different situations.


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