Erich Doerr’s Instant Analysis of the 2009 NCAA Tournament has proven to be quite popular. It has been so popular that Erich has had trouble accommodating the page views. Consequently Erich has asked that I host the tables. So for those who had trouble accessing Erich’s tables, please see the following:
NCAA Tables
Table One: NCAA Tournament based on Pomeroy Numbers
Table Two: NCAA Tournament based on Sagarin Numbers
Table Three: NCAA Teams Probabilities and HERE
Erich also has provided analysis of the NIT. From what I understand, San Diego State was one of the last teams rejected. Although an NIT championship cannot replace an NCAA appearance, Aztec fans — according to Erich’s analysis – can expect to celebrate an NIT title in 2009.
NIT Tables
Table Four: NIT Tournament based on Pomeroy Numbers
Table Five: NIT Tournament based on Sagarin Numbers
Table Six: NIT Teams Probabilities and HERE
Once again I want to thank Erich for providing this analysis. Hopefully everyone agrees that this only makes March Madness all the more enjoyable.
– DJ
The WoW Journal Comments Policy
Erich
March 18, 2009
An NIT update through tonight’s games:
1W San Diego State 14.01%
2S Notre Dame 10.08%
4E Miami (Fla.) 8.61%
1E Florida 8.52%
3S New Mexico 8.13%
4S Kentucky 6.67%
4W Kansas State 6.61%
1M Auburn 5.91%
3M Baylor 5.76%
2W St. Mary’s 5.26%
2M Virginia Tech 4.93%
4M Tulsa 3.95%
6W Davidson 3.15%
6E Rhode Island 3.09%
1S Creighton 3.04%
2E Penn State 2.28%
Evan
March 18, 2009
What is the NIT? ;)
Seriously, this post probably gets less than 1/100th of the attention.
Erich
March 19, 2009
This post real purpose is to provide the NCAA tournament tables on a more consistent web provider, as my original host stopped serving up the bandwidth.
Trust me, i’m just biding my time until the real tourney starts
Stephen
March 22, 2009
I’m interested in how you come up with NCAA Teams Probabilities because I don’t see any simple correlations between the Pomeroy and Sagarin numbers and the Probablility.
Erich
March 22, 2009
Stephen, there is no simple correlation.
For the Pomeroy probabilities, see the link in a comment I wrote to Nick on the previous post (2009 Instant analysis).
For the Sagarin probabilities, see the links from
my article last year
I would link them all, but then my comment would get spam-filtered