(7) #78 Southern California (9-21)

1039.77 (22)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
12 Brigham Young** Loss 3-13 0 12 0% Ignored (Why) Jan 29th Santa Barbara Invite 2022
60 Cal Poly-SLO Loss 8-9 0.47 13 3.89% Counts Jan 29th Santa Barbara Invite 2022
4 California-Santa Barbara** Loss 3-11 0 9 0% Ignored (Why) Jan 29th Santa Barbara Invite 2022
9 California-San Diego** Loss 5-13 0 3 0% Ignored (Why) Jan 30th Santa Barbara Invite 2022
18 UCLA Loss 1-12 -0.87 10 3.94% Counts (Why) Jan 30th Santa Barbara Invite 2022
94 UCSC Loss 4-7 -18.79 28 3.13% Counts Jan 30th Santa Barbara Invite 2022
112 California-San Diego-B Win 7-5 3.01 28 3.46% Counts Feb 5th Stanford Open 2022
176 Chico State** Win 10-3 0 30 0% Ignored (Why) Feb 5th Stanford Open 2022
170 Stanford-B** Win 11-2 0 29 0% Ignored (Why) Feb 5th Stanford Open 2022
187 UCLA-B** Win 12-5 0 29 0% Ignored (Why) Feb 5th Stanford Open 2022
57 Santa Clara Win 9-8 12.89 28 4.12% Counts Feb 6th Stanford Open 2022
94 UCSC Win 13-3 23.37 28 4.35% Counts (Why) Feb 6th Stanford Open 2022
11 California-Davis** Loss 2-12 0 20 0% Ignored (Why) Feb 19th Presidents Day Invite 2022
18 UCLA Loss 4-10 -0.94 10 4.27% Counts (Why) Feb 19th Presidents Day Invite 2022
27 California Loss 2-11 -6.55 19 4.48% Counts (Why) Feb 20th Presidents Day Invite 2022
41 Colorado College Win 9-7 26.86 23 4.48% Counts Feb 20th Presidents Day Invite 2022
112 California-San Diego-B Loss 5-6 -14.25 28 3.72% Counts Feb 21st Presidents Day Invite 2022
97 Utah Loss 7-8 -10.51 10 4.34% Counts Feb 21st Presidents Day Invite 2022
41 Colorado College Loss 5-8 -6.76 23 4.04% Counts Feb 21st Presidents Day Invite 2022
14 Florida State** Loss 3-15 0 49 0% Ignored (Why) Mar 19th Womens Centex
21 Northeastern Loss 8-12 4.4 23 6.15% Counts Mar 19th Womens Centex
62 Washington University Win 8-7 14.84 29 5.47% Counts Mar 19th Womens Centex
51 Chicago Loss 8-13 -19.26 34 6.15% Counts Mar 19th Womens Centex
61 Ohio State Loss 5-11 -27.91 48 5.65% Counts (Why) Mar 20th Womens Centex
43 Dartmouth Loss 6-8 -0.7 50 5.28% Counts Mar 20th Womens Centex
60 Cal Poly-SLO Win 10-7 44.34 13 7.77% Counts Apr 23rd SoCal D I College Womens CC 2022
9 California-San Diego** Loss 2-13 0 3 0% Ignored (Why) Apr 23rd SoCal D I College Womens CC 2022
4 California-Santa Barbara** Loss 3-13 0 9 0% Ignored (Why) Apr 23rd SoCal D I College Womens CC 2022
60 Cal Poly-SLO Loss 7-10 -21.32 13 7.77% Counts Apr 24th SoCal D I College Womens CC 2022
18 UCLA Loss 5-11 -1.72 10 7.54% Counts (Why) Apr 24th SoCal D I College Womens CC 2022
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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.