(1) #137 California-B (8-13)

947.01 (51)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
248 Cal Poly-Humboldt** Win 8-1 0 39 0% Ignored (Why) Feb 3rd Stanford Open 2024
30 Cal Poly-SLO** Loss 1-13 0 129 0% Ignored (Why) Feb 3rd Stanford Open 2024
43 Portland** Loss 2-13 0 23 0% Ignored (Why) Feb 3rd Stanford Open 2024
79 San Diego State Loss 4-10 -10.75 28 5.44% Counts (Why) Feb 17th Santa Clara University Presidents Day
72 Santa Clara Loss 3-7 -7.11 61 4.52% Counts (Why) Feb 17th Santa Clara University Presidents Day
184 California-Davis-B Win 10-2 14.35 82 5.44% Counts (Why) Feb 17th Santa Clara University Presidents Day
88 California-Irvine Loss 4-8 -10.55 56 4.95% Counts Feb 18th Santa Clara University Presidents Day
131 Occidental Loss 5-6 -2.84 6 4.74% Counts Feb 18th Santa Clara University Presidents Day
184 California-Davis-B Win 9-4 13.54 82 5.15% Counts (Why) Feb 18th Santa Clara University Presidents Day
238 California-San Diego-C** Win 13-1 0 0 0% Ignored (Why) Mar 9th Irvine Open
186 UCLA-B Win 6-5 -14.13 149 5.64% Counts Mar 9th Irvine Open
88 California-Irvine Loss 2-4 -5.82 56 4.16% Counts Mar 9th Irvine Open
184 California-Davis-B Win 7-4 8.69 82 5.64% Counts (Why) Mar 10th Irvine Open
85 California-San Diego-B Loss 2-9 -13.56 83 6.13% Counts (Why) Mar 10th Irvine Open
75 Lewis & Clark Loss 2-10 -11.9 90 6.47% Counts (Why) Mar 10th Irvine Open
97 Stanford-B Loss 4-9 -27.78 675 8.18% Counts (Why) Apr 14th Southwest Dev Womens Conferences 2024
148 Cal Poly-SLO-B Win 6-4 23.16 45 7.17% Counts (Why) Apr 14th Southwest Dev Womens Conferences 2024
47 Southern California Loss 3-7 7.85 81 8.05% Counts (Why) Apr 27th Southwest D I College Womens Regionals 2024
5 Stanford** Loss 0-15 0 39 0% Ignored (Why) Apr 27th Southwest D I College Womens Regionals 2024
88 California-Irvine Loss 7-8 25.96 56 9.86% Counts Apr 27th Southwest D I College Womens Regionals 2024
136 Arizona State Win 6-5 12.27 79 8.45% Counts Apr 28th Southwest 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.