(3) #162 Oklahoma (8-11)

514.1 (18)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
212 Illinois-B Win 7-2 9.44 8 4.23% Counts (Why) Mar 5th Midwest Throwdown 2022
146 Grinnell Win 4-3 9.53 13 3.54% Counts (Why) Mar 5th Midwest Throwdown 2022
144 Luther Loss 4-5 0.72 9 4.01% Counts Mar 5th Midwest Throwdown 2022
150 Truman State Loss 4-8 -22.69 20 4.63% Counts Mar 5th Midwest Throwdown 2022
151 Macalester Loss 5-7 -11.65 14 4.63% Counts Mar 6th Midwest Throwdown 2022
158 Minnesota-Duluth Win 8-5 25.03 10 4.82% Counts (Why) Mar 6th Midwest Throwdown 2022
203 Wisconsin-B Win 8-4 13.79 7 4.63% Counts (Why) Mar 6th Midwest Throwdown 2022
163 LSU Win 11-8 25.52 55 6.54% Counts Mar 19th Womens Centex
89 Texas-Dallas Loss 2-11 -4.16 27 6% Counts (Why) Mar 19th Womens Centex
77 Texas State Loss 3-11 -1 24 6% Counts (Why) Mar 19th Womens Centex
93 Rice Loss 3-11 -5.74 29 6% Counts (Why) Mar 19th Womens Centex
79 MIT Loss 1-11 -1.72 30 6% Counts (Why) Mar 20th Womens Centex
219 Texas-San Antonio Win 9-4 9.88 35 5.41% Counts (Why) Mar 20th Womens Centex
89 Texas-Dallas Loss 1-8 -3.49 27 5.09% Counts (Why) Mar 20th Womens Centex
59 Washington University** Loss 0-13 0 38 0% Ignored (Why) Apr 16th Ozarks D I College Womens CC 2022
119 Missouri Loss 2-13 -27.79 6 8.24% Counts (Why) Apr 16th Ozarks D I College Womens CC 2022
192 Missouri State Win 6-5 -2.81 7 6.27% Counts Apr 16th Ozarks D I College Womens CC 2022
125 Saint Louis Loss 0-11 -27.86 15 7.56% Counts (Why) Apr 17th Ozarks D I College Womens CC 2022
213 Washington University-B Win 8-0 13.6 12 6.41% Counts (Why) Apr 17th Ozarks D I College Womens CC 2022
**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.