(4) #10 California (33-12) SW 2

1849.7 (20)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
36 California-Santa Cruz Win 15-8 3.81 13 1.57% Counts (Why) Jan 29th Santa Barbara Invite 2022
40 Colorado State Win 14-9 2.13 14 1.57% Counts Jan 29th Santa Barbara Invite 2022
4 Brigham Young Loss 13-15 -0.39 20 1.57% Counts Jan 29th Santa Barbara Invite 2022
32 Washington University Win 15-6 5.42 20 1.57% Counts (Why) Jan 29th Santa Barbara Invite 2022
6 Cal Poly-SLO Loss 10-13 -3.06 9 1.57% Counts Jan 30th Santa Barbara Invite 2022
45 Utah Loss 12-13 -7.77 6 1.57% Counts Jan 30th Santa Barbara Invite 2022
29 UCLA Win 11-10 -2.03 10 1.57% Counts Jan 30th Santa Barbara Invite 2022
19 Oregon Win 9-5 6.31 26 1.6% Counts (Why) Feb 19th Presidents Day Invite 2022
88 Arizona** Win 13-3 0 14 0% Ignored (Why) Feb 19th Presidents Day Invite 2022
113 California-Davis Win 13-6 -2.72 14 1.86% Counts (Why) Feb 19th Presidents Day Invite 2022
63 California-Santa Barbara Win 13-9 -1.05 11 1.86% Counts Feb 19th Presidents Day Invite 2022
58 Stanford Win 10-5 2.29 13 1.65% Counts (Why) Feb 20th Presidents Day Invite 2022
3 Colorado Loss 11-12 3.23 33 1.86% Counts Feb 20th Presidents Day Invite 2022
19 Oregon Win 12-8 5.7 26 1.86% Counts Feb 21st Presidents Day Invite 2022
6 Cal Poly-SLO Loss 10-12 -1.94 9 1.86% Counts Feb 21st Presidents Day Invite 2022
45 Utah Win 11-8 0.05 6 1.86% Counts Feb 21st Presidents Day Invite 2022
81 Santa Clara** Win 13-3 0 13 0% Ignored (Why) Mar 5th Stanford Invite 2022
82 Whitman Win 9-8 -9.72 45 1.98% Counts Mar 5th Stanford Invite 2022
18 Tufts Win 10-7 5.16 28 1.98% Counts Mar 5th Stanford Invite 2022
11 Washington Loss 8-13 -10.63 65 2.09% Counts Mar 5th Stanford Invite 2022
66 Texas-Dallas Win 13-8 -0.2 15 2.09% Counts Mar 5th Stanford Invite 2022
53 Tulane Win 13-8 1.85 24 2.09% Counts Mar 5th Stanford Invite 2022
5 Pittsburgh Loss 10-13 -4.83 25 2.63% Counts Apr 1st Easterns 2022
49 Illinois Win 15-11 -0.33 19 2.63% Counts Apr 1st Easterns 2022
8 Georgia Loss 9-15 -11.77 30 2.63% Counts Apr 1st Easterns 2022
6 Cal Poly-SLO Loss 9-14 -9.14 9 2.63% Counts Apr 3rd Easterns 2022
30 North Carolina-Wilmington Win 13-10 1.98 33 2.63% Counts Apr 3rd Easterns 2022
12 Northeastern Win 14-12 5.71 36 2.63% Counts Apr 3rd Easterns 2022
58 Stanford Win 12-8 0.11 13 2.96% Counts Apr 16th NorCal D I College Mens CC 2022
321 San Jose State** Win 13-1 0 18 0% Ignored (Why) Apr 16th NorCal D I College Mens CC 2022
208 Nevada-Reno** Win 13-5 0 17 0% Ignored (Why) Apr 16th NorCal D I College Mens CC 2022
293 Fresno State** Win 13-2 0 17 0% Ignored (Why) Apr 16th NorCal D I College Mens CC 2022
36 California-Santa Cruz Win 13-9 2.83 13 2.96% Counts Apr 17th NorCal D I College Mens CC 2022
113 California-Davis** Win 13-5 0 14 0% Ignored (Why) Apr 17th NorCal D I College Mens CC 2022
151 Arizona State Win 13-6 -10.72 10 3.52% Counts (Why) May 7th Southwest D I College Mens Regionals 2022
55 Grand Canyon Win 13-8 2.48 15 3.52% Counts May 7th Southwest D I College Mens Regionals 2022
29 UCLA Win 13-6 12.67 10 3.52% Counts (Why) May 7th Southwest D I College Mens Regionals 2022
6 Cal Poly-SLO Loss 7-13 -15.36 9 3.52% Counts May 8th Southwest D I College Mens Regionals 2022
29 UCLA Win 13-10 2.76 10 3.52% Counts May 8th Southwest D I College Mens Regionals 2022
24 Ohio State Win 14-10 9.23 107 4.18% Counts May 27th 2022 D I College Championships
21 Wisconsin Win 14-9 13.26 94 4.18% Counts May 27th 2022 D I College Championships
2 North Carolina Loss 5-15 -11.8 31 4.18% Counts (Why) May 28th 2022 D I College Championships
9 Vermont Win 14-11 15.91 97 4.18% Counts May 28th 2022 D I College Championships
11 Washington Win 14-9 20.6 65 4.18% Counts May 28th 2022 D I College Championships
5 Pittsburgh Loss 7-15 -19.66 25 4.18% Counts (Why) May 29th 2022 D I College Championships
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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.