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 players 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 teams lineup. This is done by extracting a players worth from his teams 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|
|Published in:||International Journal of Computer Science in Sport|