This seems like a good site for a lot of data.
bracketologists.com
Iowa State is on the 2/3 line in predictive metrics, but on the 3/4 line on results based metrics.
I found the Average Net Win and Average Net Loss to be really interesting. Iowa State is fine in the average Net Loss, but not good at all in the average Net win. We assume that Creighton, Syracuse, Miss State are the problem, but really its our Quad 3's that are the problem. Houston Christian, FDU, Grambling, Eastern Illinois, Alcorn State, Long Beach State and Stonehill are all really bad. They were all really bad last year too. Replace some of them with Lamar, Mercyhurst, UT Martin, Lindenwood, Southern and San Diego and our average Net Win is much better and our results based metrics are also a lot better.
I'm not sure what the committee prefers, but my guess is Predictive. I did go through and seed teams based on the following criteria:
- Average Predictive Metric (Kenpom, BPI, T-Rank)
- Average Results Metric (KPI, SOR, WAB)
- Raw Net Rankings
- Root Sum Square of Avg Net Win and Avg Net Loss (low is better) - This got really funky
Iowa State was a 2 seed based on #1, a 4 seed based on #2, a 2 seed based on #3 and a 7 seed based on #4.
It seems to me like Predictive Metrics make more sense for seeding, while Results based metrics make sense for the bubble. The weird thing I did with #4 might make sense on close calls.
I went through things and arbitrarily decided that if you were a single digit seed based on Net, Predictive Metrics and Results Metrics, you were in no matter what. If you were a double digit seed in any of those, you were a bubble team. That left me with 16 bubble teams to fill 12 spots. Those are:
Safe: UCF, Texas A&M, Santa Clara
Last 4 Byes: TCU, NC State, Iowa, Missouri
Last 4 In: VCU, SMU, Texas, Auburn
Out: Indiana, Va Tech, New Mexico, Oklahoma, Cincinnati