(5) #153 Texas State (8-14)

861.23 (151)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
197 Sam Houston Win 11-0 9.29 216 4.31% Counts (Why) Feb 17th Antifreeze 2024
213 Houston Loss 6-7 -26.9 104 3.89% Counts Feb 17th Antifreeze 2024
149 Texas A&M Loss 4-6 -12.34 112 3.41% Counts Feb 17th Antifreeze 2024
206 Texas-B Win 7-3 4.43 336 3.41% Counts (Why) Feb 17th Antifreeze 2024
93 Rice Loss 2-9 -7.28 133 3.89% Counts (Why) Feb 18th Antifreeze 2024
149 Texas A&M Loss 3-11 -26.32 112 4.31% Counts (Why) Feb 18th Antifreeze 2024
221 LSU** Win 13-1 0 175 0% Ignored (Why) Mar 16th Womens Centex 2024
92 Middlebury Loss 8-11 4.92 159 5.92% Counts Mar 16th Womens Centex 2024
93 Rice Loss 1-13 -11.33 133 5.92% Counts (Why) Mar 16th Womens Centex 2024
66 Trinity Loss 8-10 20.33 161 5.77% Counts Mar 16th Womens Centex 2024
206 Texas-B Win 13-3 7.9 336 5.92% Counts (Why) Mar 16th Womens Centex 2024
115 Denver Loss 9-10 8.4 55 5.92% Counts Mar 17th Womens Centex 2024
90 MIT Win 11-8 51.05 394 5.92% Counts Mar 17th Womens Centex 2024
213 Houston Win 5-4 -22.45 104 5.14% Counts Apr 13th Texas D I Womens Conferences 2024
232 North Texas** Win 12-2 0 46 0% Ignored (Why) Apr 13th Texas D I Womens Conferences 2024
53 Texas Loss 6-9 19.99 116 6.63% Counts Apr 13th Texas D I Womens Conferences 2024
196 Texas-San Antonio Win 13-3 18.15 79 7.46% Counts (Why) Apr 13th Texas D I Womens Conferences 2024
149 Texas A&M Loss 7-11 -35.3 112 7.26% Counts Apr 14th Texas D I Womens Conferences 2024
42 Texas-Dallas** Loss 5-12 0 114 0% Ignored (Why) Apr 14th Texas D I Womens Conferences 2024
113 Saint Louis Loss 6-9 -11.95 141 7.44% Counts Apr 27th South Central D I College Womens Regionals 2024
7 Colorado** Loss 3-15 0 32 0% Ignored (Why) Apr 27th South Central D I College Womens Regionals 2024
115 Denver Loss 7-8 10.73 55 7.44% Counts Apr 27th South Central D I College Womens Regionals 2024
**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.