(2) #55 UCLA (9-13)

1535.24 (5)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
91 Cal Poly-SLO-B Win 13-5 13.22 24 3.59% Counts (Why) Jan 25th Santa Barbara Invite 2025
23 Victoria Loss 3-12 -10.24 12 3.45% Counts (Why) Jan 25th Santa Barbara Invite 2025
26 Utah Loss 5-13 -12.65 1 3.59% Counts (Why) Jan 25th Santa Barbara Invite 2025
41 California-San Diego Win 8-5 16.53 4 2.97% Counts (Why) Jan 26th Santa Barbara Invite 2025
29 Utah Valley Loss 5-10 -11.76 30 3.19% Counts Jan 26th Santa Barbara Invite 2025
42 Stanford Loss 7-11 -16.69 27 4.16% Counts Feb 15th Presidents Day Invite 2025
23 Victoria Loss 6-9 -4.16 12 3.79% Counts Feb 15th Presidents Day Invite 2025
33 California-Santa Barbara Win 10-9 11.18 5 4.27% Counts Feb 16th Presidents Day Invite 2025
9 California-Santa Cruz Loss 7-13 -3.19 0 4.27% Counts Feb 16th Presidents Day Invite 2025
7 Washington Loss 5-13 -0.85 4 4.27% Counts (Why) Feb 16th Presidents Day Invite 2025
50 Colorado State Loss 9-10 -4.4 35 4.27% Counts Feb 17th Presidents Day Invite 2025
26 Utah Loss 8-13 -10.52 1 4.27% Counts Feb 17th Presidents Day Invite 2025
9 California-Santa Cruz Loss 7-13 -3.83 0 5.08% Counts Mar 8th Stanford Invite 2025 Mens
85 Southern California Loss 8-13 -38.22 140 5.08% Counts Mar 8th Stanford Invite 2025 Mens
43 Virginia Tech Win 10-9 10.81 19 5.08% Counts Mar 8th Stanford Invite 2025 Mens
118 British Columbia -B Win 13-7 11.15 4 5.08% Counts (Why) Mar 9th Stanford Invite 2025 Mens
141 Northwestern Win 13-9 -2.34 46 5.08% Counts Mar 9th Stanford Invite 2025 Mens
10 Oregon State Win 15-14 34.55 9 5.7% Counts Mar 22nd Northwest Challenge 2025 mens
22 Western Washington Loss 13-15 6.08 13 5.7% Counts Mar 22nd Northwest Challenge 2025 mens
23 Victoria Loss 4-15 -17.34 12 5.7% Counts (Why) Mar 22nd Northwest Challenge 2025 mens
109 Gonzaga Win 15-5 17.07 34 5.7% Counts (Why) Mar 23rd Northwest Challenge 2025 mens
32 Virginia Win 14-13 16.3 9 5.7% Counts Mar 23rd Northwest Challenge 2025 mens
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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.