(6) #130 North Texas (16-7)

1330.22 (220)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
272 Oklahoma Win 11-5 2.95 381 3.78% Counts (Why) Feb 1st Big D in Little D 2025
275 Texas Tech Win 11-4 2.28 245 3.78% Counts (Why) Feb 1st Big D in Little D 2025
293 Trinity Win 11-7 -5.62 149 4.01% Counts Feb 1st Big D in Little D 2025
394 Stephen F Austin** Win 11-1 0 366 0% Ignored (Why) Feb 1st Big D in Little D 2025
189 Baylor Win 15-10 9.92 350 4.12% Counts Feb 2nd Big D in Little D 2025
293 Trinity** Win 15-1 0 149 0% Ignored (Why) Feb 2nd Big D in Little D 2025
367 Dallas** Win 13-1 0 368 0% Ignored (Why) Feb 22nd Dust Bowl 2025
87 Missouri S&T Loss 9-10 2.69 212 4.89% Counts Feb 22nd Dust Bowl 2025
191 Oklahoma State Win 8-4 13.56 237 3.89% Counts (Why) Feb 22nd Dust Bowl 2025
158 Grinnell Win 9-8 1.4 214 4.63% Counts Feb 23rd Dust Bowl 2025
194 John Brown Win 12-5 17.51 386 4.7% Counts (Why) Feb 23rd Dust Bowl 2025
57 Oklahoma Christian Loss 7-8 9.92 295 4.35% Counts Feb 23rd Dust Bowl 2025
225 Arkansas Win 13-5 15.21 214 5.82% Counts (Why) Mar 15th Mens Centex 2025
73 Iowa State Loss 8-13 -13.87 252 5.82% Counts Mar 15th Mens Centex 2025
117 Mississippi State Win 11-6 34.47 264 5.5% Counts (Why) Mar 15th Mens Centex 2025
283 Texas State Win 11-7 -6.05 238 5.66% Counts Mar 15th Mens Centex 2025
120 Arizona State Loss 9-13 -23.66 241 5.82% Counts Mar 16th Mens Centex 2025
86 Colorado-B Loss 10-15 -16.93 230 5.82% Counts Mar 16th Mens Centex 2025
96 Missouri Loss 10-15 -18.92 212 5.82% Counts Mar 16th Mens Centex 2025
400 Angelo State** Win 15-2 0 365 0% Ignored (Why) Apr 12th North Texas D I Mens Conferences 2025
275 Texas Tech Win 14-3 4.59 245 7.33% Counts (Why) Apr 12th North Texas D I Mens Conferences 2025
189 Baylor Win 10-7 12.46 350 6.94% Counts Apr 13th North Texas D I Mens Conferences 2025
183 Tarleton State Loss 8-11 -43.32 453 7.33% Counts Apr 13th North Texas D I Mens Conferences 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.