Extracting individual offensive production from baseball run distributions

Advanced statistical measures are increasingly popular in sports, especially baseball. These measures are used for reasons from contract negotiations to roster changes to award determinations. One of the most popular methods of determining a player’s worth in baseball uses WAR: wins above replacement. The methods described herein work to fine-tune the goals of the offensive component of WAR by evaluating players in the context of their own team’s lineup. This is done by extracting a player’s worth from his team’s simulated run distribution using win probabilities.
© Copyright 2014 International Journal of Computer Science in Sport. De Gruyter. All rights reserved.

Subjects: baseball mathematical statistics assessment individual
Notations: sport games
Tagging: Wahrscheinlichkeit Erfolg
Published in: International Journal of Computer Science in Sport
Published: 2014
Volume: 13
Issue: 2
Pages: 20-31
Document types: article
Language: English
Level: intermediate