(10) #88 California-Irvine (10-11)

1309.28 (56)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
148 Cal Poly-SLO-B Win 12-3 8.21 45 4.56% Counts (Why) Feb 17th Santa Clara University Presidents Day
67 Nevada-Reno Loss 8-9 0.27 41 4.5% Counts Feb 17th Santa Clara University Presidents Day
131 Occidental Win 9-6 5.47 6 4.22% Counts Feb 17th Santa Clara University Presidents Day
72 Santa Clara Loss 6-7 -1.53 61 3.93% Counts Feb 18th Santa Clara University Presidents Day
137 California-B Win 8-4 7.95 51 3.78% Counts (Why) Feb 18th Santa Clara University Presidents Day
67 Nevada-Reno Loss 6-7 0.23 41 3.93% Counts Feb 18th Santa Clara University Presidents Day
137 California-B Win 4-2 4.39 51 3.18% Counts (Why) Mar 9th Irvine Open
186 UCLA-B** Win 7-2 0 149 0% Ignored (Why) Mar 9th Irvine Open
238 California-San Diego-C** Win 13-0 0 0 0% Ignored (Why) Mar 9th Irvine Open
75 Lewis & Clark Win 6-5 8.57 90 4.3% Counts Mar 10th Irvine Open
85 California-San Diego-B Loss 6-7 -4.66 83 4.67% Counts Mar 10th Irvine Open
79 San Diego State Loss 5-6 -4.51 28 5.74% Counts Apr 13th SoCal D I Womens Conferences 2024
29 UCLA Loss 3-12 -4.38 1 7.24% Counts (Why) Apr 13th SoCal D I Womens Conferences 2024
9 California-Santa Barbara Loss 6-13 34.03 95 7.54% Counts (Why) Apr 13th SoCal D I Womens Conferences 2024
47 Southern California Loss 4-12 -21.28 81 7.24% Counts (Why) Apr 14th SoCal D I Womens Conferences 2024
165 Cal State-Long Beach Win 9-2 6.01 71 6.24% Counts (Why) Apr 14th SoCal D I Womens Conferences 2024
72 Santa Clara Loss 5-8 -27.57 61 7% Counts Apr 27th Southwest D I College Womens Regionals 2024
137 California-B Win 8-7 -19.3 51 7.52% Counts Apr 27th Southwest D I College Womens Regionals 2024
20 California-Davis** Loss 3-13 0 10 0% Ignored (Why) Apr 27th Southwest D I College Womens Regionals 2024
85 California-San Diego-B Win 7-6 11.67 83 7% Counts Apr 28th Southwest D I College Womens Regionals 2024
29 UCLA Loss 2-10 -4.48 1 7.4% Counts (Why) Apr 28th Southwest D I College Womens Regionals 2024
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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.