Another Theoretical Attempt at Meta Analysis

I received a lot of feedback on the meta-analysis article, and since I had some spare time this week with work being slow, I did some further digging/torturing into the data. The first attempt looked at meta through raw data (or more specifically, raw averages). It showed how the national averages of 2016-2019 are mostly similar to one another but different to other years because rule changes created different metas between all the years. What if there was a way to create cross-meta comparisons so that the data in the years from 2008 to 2015 becomes more relevant to the data of 2016-2019?

Warming Up the Crystal Ball: 2019-2020 Edition

In the inaugural article, I promised an article that I had finished before it because I did a lot of the work for it over the summer. If you know me by now, you know that this article is not the promised article. I do intend to auto-publish that one at the beginning of December, which actually aligns better with my work schedule since I won't have a lot of time during those two weeks to put anything together. Instead you get this article, which has become sort of a standard for PPB and it does have a lot of valuable information in it for March. By putting my pre-season biases into the written record, it lets you the reader see my point of view from the start and see how the data is being used to confirm or reject my point of view. Likewise, I would like to publish my preseason thoughts before any other headline-grabbing upsets happen. Nonetheless, here's my outlook for the 2019-2020 season.