(1) #13 California (28-14) SW 3

2103.63 (134)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
46 Stanford Win 12-7 3.44 148 1.85% Counts (Why) Jan 25th Santa Barbara Invite 2025
34 Utah Win 13-9 2.93 45 1.85% Counts Jan 25th Santa Barbara Invite 2025
10 British Columbia Win 12-4 11.74 180 1.78% Counts (Why) Jan 26th Santa Barbara Invite 2025
6 Cal Poly-SLO Loss 4-7 -4.75 140 1.41% Counts Jan 26th Santa Barbara Invite 2025
58 Illinois Win 13-6 3.2 158 1.85% Counts (Why) Jan 26th Santa Barbara Invite 2025
9 California-Santa Cruz Loss 10-11 -0.98 164 2.2% Counts Feb 15th Presidents Day Invite 2025
42 Colorado State Win 12-8 2.76 223 2.2% Counts Feb 15th Presidents Day Invite 2025
16 Northeastern Win 9-8 1.66 161 2.08% Counts Feb 15th Presidents Day Invite 2025
25 Victoria Win 13-11 1.89 110 2.2% Counts Feb 16th Presidents Day Invite 2025
42 Colorado State Win 13-6 6.33 223 2.2% Counts (Why) Feb 16th Presidents Day Invite 2025
5 Colorado Win 13-10 13.15 126 2.2% Counts Feb 16th Presidents Day Invite 2025
11 Oregon State Loss 10-12 -4.64 154 2.2% Counts Feb 16th Presidents Day Invite 2025
8 Washington Loss 9-11 -3.07 100 2.2% Counts Feb 17th Presidents Day Invite 2025
9 California-Santa Cruz Loss 7-11 -8.45 164 2.15% Counts Feb 17th Presidents Day Invite 2025
143 Wisconsin-Milwaukee** Win 13-5 0 142 0% Ignored (Why) Mar 8th Stanford Invite 2025 Mens
31 California-Santa Barbara Win 13-8 6.85 201 2.62% Counts Mar 8th Stanford Invite 2025 Mens
23 Western Washington Loss 10-11 -6.47 138 2.62% Counts Mar 8th Stanford Invite 2025 Mens
127 Santa Clara Win 13-6 -4.36 265 2.62% Counts (Why) Mar 8th Stanford Invite 2025 Mens
6 Cal Poly-SLO Loss 8-13 -8.93 140 2.62% Counts Mar 9th Stanford Invite 2025 Mens
45 Virginia Tech Win 10-9 -5.46 163 2.62% Counts Mar 9th Stanford Invite 2025 Mens
41 California-San Diego Win 12-8 3.49 171 2.62% Counts Mar 9th Stanford Invite 2025 Mens
22 Penn State Win 13-6 15.74 166 3.12% Counts (Why) Mar 29th Easterns 2025
16 Northeastern Win 13-8 14.45 161 3.12% Counts Mar 29th Easterns 2025
1 Massachusetts Loss 8-13 -5.89 158 3.12% Counts Mar 29th Easterns 2025
62 North Carolina State Win 13-7 3.39 87 3.12% Counts (Why) Mar 29th Easterns 2025
6 Cal Poly-SLO Loss 11-15 -6.98 140 3.12% Counts Mar 30th Easterns 2025
4 North Carolina Loss 12-15 -1.42 154 3.12% Counts Mar 30th Easterns 2025
19 Tufts Loss 9-13 -15.82 134 3.12% Counts Mar 30th Easterns 2025
276 Chico State** Win 15-3 0 237 0% Ignored (Why) Apr 12th NorCal D I Mens Conferences 2025
127 Santa Clara** Win 15-4 0 265 0% Ignored (Why) Apr 12th NorCal D I Mens Conferences 2025
261 Nevada-Reno** Win 15-3 0 88 0% Ignored (Why) Apr 12th NorCal D I Mens Conferences 2025
124 San Jose State** Win 13-3 0 152 0% Ignored (Why) Apr 12th NorCal D I Mens Conferences 2025
46 Stanford Win 14-12 -4.25 148 3.5% Counts Apr 13th NorCal D I Mens Conferences 2025
9 California-Santa Cruz Loss 9-15 -15.73 164 3.5% Counts Apr 13th NorCal D I Mens Conferences 2025
46 Stanford Win 15-10 4.18 148 3.5% Counts Apr 13th NorCal D I Mens Conferences 2025
6 Cal Poly-SLO Loss 13-15 -2.04 140 3.93% Counts Apr 26th Southwest D I College Mens Regionals 2025
211 UCLA-B** Win 15-4 0 260 0% Ignored (Why) Apr 26th Southwest D I College Mens Regionals 2025
46 Stanford Win 15-7 10.7 148 3.93% Counts (Why) Apr 26th Southwest D I College Mens Regionals 2025
41 California-San Diego Win 15-11 2.85 171 3.93% Counts Apr 26th Southwest D I College Mens Regionals 2025
9 California-Santa Cruz Loss 12-14 -5.7 164 3.93% Counts Apr 27th Southwest D I College Mens Regionals 2025
54 UCLA Win 14-11 -3.52 169 3.93% Counts Apr 27th Southwest D I College Mens Regionals 2025
31 California-Santa Barbara Win 13-11 -0.53 201 3.93% Counts Apr 27th Southwest D I College Mens Regionals 2025
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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.