(6) #245 Texas-Dallas (6-12)

901.38 (255)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
176 Northern Iowa Loss 10-12 1.75 360 5.28% Counts Feb 22nd Dust Bowl 2025
57 Oklahoma Christian Loss 7-9 25.08 295 4.84% Counts Feb 22nd Dust Bowl 2025
275 Texas Tech Win 8-7 0.58 245 4.69% Counts Feb 22nd Dust Bowl 2025
309 Washington University-B Win 10-9 -7.55 323 5.28% Counts Feb 22nd Dust Bowl 2025
191 Oklahoma State Loss 5-11 -20.41 237 4.84% Counts (Why) Feb 23rd Dust Bowl 2025
225 Arkansas Loss 8-9 -3.16 214 5.94% Counts Mar 15th Mens Centex 2025
86 Colorado-B Loss 10-11 32.38 230 6.28% Counts Mar 15th Mens Centex 2025
191 Oklahoma State Loss 9-10 4.96 237 6.28% Counts Mar 15th Mens Centex 2025
332 Texas A&M-B Win 11-6 13.78 299 5.94% Counts (Why) Mar 15th Mens Centex 2025
189 Baylor Loss 11-15 -11.71 350 6.28% Counts Mar 16th Mens Centex 2025
220 Texas-B Win 15-13 21 369 6.28% Counts Mar 16th Mens Centex 2025
293 Trinity Loss 7-11 -41.63 149 6.11% Counts Mar 16th Mens Centex 2025
394 Stephen F Austin** Win 12-4 0 366 0% Ignored (Why) Apr 12th North Texas D I Mens Conferences 2025
183 Tarleton State Loss 6-12 -27.72 453 7.7% Counts Apr 12th North Texas D I Mens Conferences 2025
189 Baylor Win 9-8 26.79 350 7.48% Counts Apr 13th North Texas D I Mens Conferences 2025
183 Tarleton State Loss 10-14 -13.03 453 7.91% Counts Apr 13th North Texas D I Mens Conferences 2025
42 Colorado State** Loss 3-15 0 223 0% Ignored (Why) Apr 26th South Central D I College Mens Regionals 2025
159 Kansas Loss 9-12 -1.42 272 8.88% Counts Apr 26th South Central D I College Mens Regionals 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.