(2) #31 California-Santa Barbara (19-21)

1861.88 (201)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
7 Brigham Young Loss 7-13 -3.1 176 1.76% Counts Jan 24th Santa Barbara Invite 2025
7 Brigham Young Loss 7-13 -3.1 176 1.76% Counts Jan 25th Santa Barbara Invite 2025
6 Cal Poly-SLO Loss 9-13 -0.22 140 1.76% Counts Jan 25th Santa Barbara Invite 2025
41 California-San Diego Loss 11-12 -3.49 171 1.76% Counts Jan 25th Santa Barbara Invite 2025
119 Cal Poly-SLO-B Win 13-5 1.89 77 1.76% Counts (Why) Jan 26th Santa Barbara Invite 2025
42 Colorado State Loss 3-4 -2.18 223 1.07% Counts Jan 26th Santa Barbara Invite 2025
41 California-San Diego Win 7-5 4.38 171 1.66% Counts Feb 15th Presidents Day Invite 2025
2 Oregon Loss 6-11 -0.47 192 1.98% Counts Feb 15th Presidents Day Invite 2025
11 Oregon State Loss 6-11 -5.51 154 1.98% Counts Feb 15th Presidents Day Invite 2025
8 Washington Loss 10-13 0.57 100 2.09% Counts Feb 16th Presidents Day Invite 2025
9 California-Santa Cruz Loss 9-13 -2.04 164 2.09% Counts Feb 16th Presidents Day Invite 2025
54 UCLA Loss 9-10 -6.05 169 2.09% Counts Feb 16th Presidents Day Invite 2025
173 California-Davis Win 13-7 -2.61 237 2.09% Counts (Why) Feb 17th Presidents Day Invite 2025
25 Victoria Loss 8-13 -8.54 110 2.09% Counts Feb 17th Presidents Day Invite 2025
13 California Loss 8-13 -6.5 134 2.49% Counts Mar 8th Stanford Invite 2025 Mens
23 Western Washington Loss 10-11 0.04 138 2.49% Counts Mar 8th Stanford Invite 2025 Mens
143 Wisconsin-Milwaukee Win 13-5 0.68 142 2.49% Counts (Why) Mar 8th Stanford Invite 2025 Mens
46 Stanford Loss 12-13 -5.66 148 2.49% Counts Mar 8th Stanford Invite 2025 Mens
84 Southern California Win 13-10 -0.37 202 2.49% Counts Mar 9th Stanford Invite 2025 Mens
43 Whitman Win 13-10 6.38 235 2.49% Counts Mar 9th Stanford Invite 2025 Mens
7 Brigham Young Loss 11-15 0.09 176 2.79% Counts Mar 22nd Northwest Challenge 2025 mens
44 Wisconsin Win 14-10 9.03 149 2.79% Counts Mar 22nd Northwest Challenge 2025 mens
138 Gonzaga Win 15-6 1.48 96 2.79% Counts (Why) Mar 22nd Northwest Challenge 2025 mens
23 Western Washington Loss 11-15 -7.32 138 2.79% Counts Mar 23rd Northwest Challenge 2025 mens
9 California-Santa Cruz Loss 9-15 -5.53 164 2.79% Counts Mar 23rd Northwest Challenge 2025 mens
32 Utah State Win 15-9 14.54 220 2.79% Counts Mar 23rd Northwest Challenge 2025 mens
216 Cal Poly-Pomona Win 13-6 -8.47 160 3.32% Counts (Why) Apr 12th SoCal D I Mens Conferences 2025
54 UCLA Win 11-10 -1.13 169 3.32% Counts Apr 12th SoCal D I Mens Conferences 2025
84 Southern California Win 12-8 3.39 202 3.32% Counts Apr 12th SoCal D I Mens Conferences 2025
237 Loyola Marymount** Win 13-4 0 276 0% Ignored (Why) Apr 12th SoCal D I Mens Conferences 2025
6 Cal Poly-SLO Loss 12-15 3.63 140 3.32% Counts Apr 13th SoCal D I Mens Conferences 2025
41 California-San Diego Win 15-11 10.71 171 3.32% Counts Apr 13th SoCal D I Mens Conferences 2025
41 California-San Diego Win 12-7 15.5 171 3.32% Counts (Why) Apr 13th SoCal D I Mens Conferences 2025
173 California-Davis** Win 15-4 0 237 0% Ignored (Why) Apr 26th Southwest D I College Mens Regionals 2025
41 California-San Diego Win 13-12 2.15 171 3.73% Counts Apr 26th Southwest D I College Mens Regionals 2025
9 California-Santa Cruz Loss 8-15 -9.36 164 3.73% Counts Apr 26th Southwest D I College Mens Regionals 2025
46 Stanford Win 13-9 12.48 148 3.73% Counts Apr 26th Southwest D I College Mens Regionals 2025
6 Cal Poly-SLO Loss 6-15 -7.51 140 3.73% Counts (Why) Apr 27th Southwest D I College Mens Regionals 2025
13 California Loss 11-13 0.5 134 3.73% Counts Apr 27th Southwest D I College Mens Regionals 2025
41 California-San Diego Win 14-13 2.15 171 3.73% Counts Apr 27th Southwest D I College Mens Regionals 2025
**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.