Improving upon NBA point-differential rankings
Applications
2019-12-04 v1
Abstract
For some time, point-differential has been thought to be a better predictor for future NBA success than pure win-loss record. Most ranking and team performance predictions rely largely on point-differential, often with some normalizations built-in. In this work, various capping and weighting functions are proposed to further improve indicator performance. A gradient descent algorithm is also employed to discover the optimized weighting/capping function applied to individual game scores throughout the season.
Keywords
Cite
@article{arxiv.1912.01574,
title = {Improving upon NBA point-differential rankings},
author = {Samuel Henry},
journal= {arXiv preprint arXiv:1912.01574},
year = {2019}
}