(8) #136 North Texas (13-6)

1110.47 (38)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
287 Oklahoma Win 11-5 -4.15 63 4.58% Counts (Why) Feb 1st Big D in Little D 2025
267 Texas Tech Win 11-4 1.55 86 4.58% Counts (Why) Feb 1st Big D in Little D 2025
258 Trinity Win 11-7 -3.27 83 4.85% Counts Feb 1st Big D in Little D 2025
380 Stephen F Austin** Win 11-1 0 44 0% Ignored (Why) Feb 1st Big D in Little D 2025
211 Baylor Win 15-10 5.28 122 4.99% Counts Feb 2nd Big D in Little D 2025
258 Trinity Win 15-1 3.62 83 4.99% Counts (Why) Feb 2nd Big D in Little D 2025
363 Dallas** Win 13-1 0 37 0% Ignored (Why) Feb 22nd Dust Bowl 2025
90 Missouri S&T Loss 9-10 3.77 72 5.93% Counts Feb 22nd Dust Bowl 2025
188 Oklahoma State Win 8-4 15.74 99 4.71% Counts (Why) Feb 22nd Dust Bowl 2025
155 Grinnell Win 9-8 2.05 85 5.61% Counts Feb 23rd Dust Bowl 2025
225 John Brown Win 12-5 11.39 42 5.69% Counts (Why) Feb 23rd Dust Bowl 2025
74 Oklahoma Christian Loss 7-8 7.93 26 5.27% Counts Feb 23rd Dust Bowl 2025
209 Arkansas Win 13-5 19.1 93 7.05% Counts (Why) Mar 15th Mens Centex 2025
77 Iowa State Loss 8-13 -19.47 79 7.05% Counts Mar 15th Mens Centex 2025
135 Mississippi State Win 11-6 39.14 23 6.67% Counts (Why) Mar 15th Mens Centex 2025
270 Texas State Win 11-7 -8.77 89 6.86% Counts Mar 15th Mens Centex 2025
129 Arizona State Loss 9-13 -30.69 8 7.05% Counts Mar 16th Mens Centex 2025
93 Colorado-B Loss 10-15 -21.54 41 7.05% Counts Mar 16th Mens Centex 2025
100 Missouri Loss 10-15 -22.67 133 7.05% Counts Mar 16th Mens Centex 2025
**Blowout Eligible. Learn more about how this works here.

FAQ

The results on this page ("USAU") are the results of an implementation of the USA Ultimate Top 20 algorithm, which is used to allocate post season bids to both colleg and club ultimate teams. The data was obtained by scraping USAU's score reporting website. Learn more about the algorithm here. TL;DR, here is the rating function. Every game a team plays gets a rating equal to the opponents rating +/- the score value. With all these data points, we iterate team ratings until convergence. There is also a rule for discounting blowout games (see next FAQ)
For reference, here is handy table with frequent game scrores and the resulting game value:
"...if a team is rated more than 600 points higher than its opponent, and wins with a score that is more than twice the losing score plus one, the game is ignored for ratings purposes. However, this is only done if the winning team has at least N other results that are not being ignored, where N=5."

Translation: if a team plays a game where even earning the max point win would hurt them, they can have the game ignored provided they win by enough and have suffficient unignored results.