() #136 Trinity (10-12)

806.8 (229)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
89 Rice Loss 7-9 2.02 214 4.24% Counts Feb 8th Rice Antifreeze 2025
205 Texas A&M Win 9-5 2.99 244 3.97% Counts (Why) Feb 8th Rice Antifreeze 2025
- Texas State Win 11-6 -0.74 236 4.37% Counts (Why) Feb 8th Rice Antifreeze 2025
255 Texas-B** Win 13-4 0 215 0% Ignored (Why) Feb 8th Rice Antifreeze 2025
89 Rice Loss 5-8 -5.11 214 3.82% Counts Feb 9th Rice Antifreeze 2025
177 Tulane Win 10-5 14.58 407 4.11% Counts (Why) Feb 9th Rice Antifreeze 2025
172 Florida State Win 10-6 14.49 247 4.76% Counts (Why) Feb 22nd Mardi Gras XXXVII
125 Jacksonville State Win 9-8 10.56 136 4.91% Counts Feb 22nd Mardi Gras XXXVII
72 Union (Tennessee) Loss 5-9 -3.02 251 4.45% Counts Feb 22nd Mardi Gras XXXVII
72 Union (Tennessee) Loss 8-10 10.72 251 5.05% Counts Feb 22nd Mardi Gras XXXVII
40 California** Loss 5-13 0 285 0% Ignored (Why) Mar 22nd Womens Centex 2025
67 Illinois Loss 6-15 -6.8 129 6.54% Counts (Why) Mar 22nd Womens Centex 2025
205 Texas A&M Win 7-4 2.07 244 4.97% Counts (Why) Mar 22nd Womens Centex 2025
44 Washington University** Loss 5-13 0 175 0% Ignored (Why) Mar 22nd Womens Centex 2025
148 Boston University Loss 6-14 -47.8 256 6.54% Counts (Why) Mar 23rd Womens Centex 2025
73 Colorado College Loss 7-11 -0.33 287 6.36% Counts Mar 23rd Womens Centex 2025
73 Colorado College Loss 6-11 -6.72 287 7.35% Counts Apr 12th South Central D III Womens Conferences 2025
89 Rice Loss 7-10 -5.13 214 7.35% Counts Apr 12th South Central D III Womens Conferences 2025
200 Truman State Win 12-8 6.01 303 7.77% Counts Apr 12th South Central D III Womens Conferences 2025
251 Colorado College-B** Win 14-1 0 0% Ignored (Why) Apr 13th South Central D III Womens Conferences 2025
89 Rice Loss 8-11 -3.42 214 7.77% Counts Apr 13th South Central D III Womens Conferences 2025
200 Truman State Win 7-2 13.76 303 5.64% Counts (Why) Apr 13th South Central D III Womens Conferences 2025
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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.