Seed-Group Loss Table, Part 1

If the title of this article seems familiar, then you remember details of my blog way better than I do. I first introduced the idea of a Seed-Group Loss Table (SGLT) in the article on Unorthodox Bracket-Picking Methods. (NOTE: Re-reading that article is not required to understand concepts in this article. However, the instructions on how to construct a SGLT can be found in Step 1 of the Loss-Mapping Technique and examples of what a SGLT looks like can be seen in the bracket images). In the Loss-Mapping Technique, the SGLT did not serve any critical function other than providing a way to double-check my work (making sure the mapping adds up to the correct totals). Also in the LMT, the SGLT was presented in a tournament-dependent construct in which all of the information was relevant to the specific tournament year. In this article, I want to re-arrange the SGLT into a seed-dependent construct in which all of the information is relevant to the seed. The goal in doing this rearrangement is to find seed-specific patterns from losses (quantity of losses, quality of losses, etc.). Thus, this article's sole purpose is to explore the SGLT as a predictive tool. 

2019 Quality Curve Analysis - January Edition

First things first, Project Perfect Bracket would like you to join in celebrating its third birthday. Now that our birthday party is over (if only the articles were as long as the parties), we can move onto real issues: The first look at the 2019 Quality Curve. I warn you before proceeding, it is not pretty!