I've been working on a lot of stuff (three of which were college basketball related) since the two updates on the January QC. Of the three college basketball related projects, one of those has been an attempt to identify a National Champion from among the many contenders/pretenders (seems like mostly the latter). Last year was a fairly easy task: A two-horse race between GONZ or BAY (apologies to third-wheeling HOU, your numbers were never on the same level as these two). In all honesty, I was on BAY the whole year up until their Covid-pause, and the before-and-after change was too scary to go all-in on them. I liked them because BAY reminded me of an even-more consistent 2019 UVA and they were playing with a similar composition in a much-weaker 2021 field. This year, I keep doing mental gymnastics and still cannot identify a gold-medal winner. However, I still like this type of project because it allows me to go backwards in time when basketball was actual basketball (not the low-skill variant played today) and it allows me to pay homage to my mentor as he was fond of these types of analysis. So let's have a look.
Jan 26, 2022
Jan 10, 2022
Digging Deeper into 2022 Jan QC - Part 2 of 2
As promised, I want to look further into the January QC and see if it holds any insights into the tournament as well as clues to what the Feb and Mar QCs will do. I want to start with the big picture and work my ways inwards.
Jan 4, 2022
2022 Quality Curve Analysis - January Edition (Pt 1 of 2???)
Happy New Year, and you already know what that means: Every time we replace a calendar, we get our first look at the QC analysis for the upcoming tournament. To begin with, I'm getting mixed signals from the data sets this early in the season. Of course, we don't make any predictions until the Final QC Analysis arrives on Selection Sunday, but I'm a little concerned at what I'm seeing. Let's take a look.
Subscribe to:
Posts (Atom)