() #27 UCLA (7-11)

1319.44 ()

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
16 Brigham Young Loss 6-11 -33.73 8.4% Counts Jan 25th Santa Barbara Invite 2025
3 Carleton College** Loss 5-13 0 0% Ignored (Why) Jan 25th Santa Barbara Invite 2025
12 Utah Loss 5-11 -23.7 8.14% Counts (Why) Jan 25th Santa Barbara Invite 2025
8 California-Santa Cruz Loss 8-9 22.9 8.4% Counts Jan 26th Santa Barbara Invite 2025
11 Washington Loss 6-7 17.12 7.34% Counts Jan 26th Santa Barbara Invite 2025
91 Arizona** Win 12-2 0 0% Ignored (Why) Feb 1st Presidents Day Qualifiers 2025
104 Cal State-Long Beach** Win 13-0 0 0% Ignored (Why) Feb 1st Presidents Day Qualifiers 2025
77 California-San Diego-B** Win 13-0 0 0% Ignored (Why) Feb 1st Presidents Day Qualifiers 2025
97 UCLA-B** Win 13-2 0 0% Ignored (Why) Feb 1st Presidents Day Qualifiers 2025
9 Cal Poly-SLO Loss 5-8 -6.79 7.78% Counts Feb 2nd Presidents Day Qualifiers 2025
43 California Win 11-5 32.36 8.63% Counts (Why) Feb 2nd Presidents Day Qualifiers 2025
16 Brigham Young Loss 8-12 -30.98 10.55% Counts Feb 15th Presidents Day Invite 2025
5 Colorado Loss 8-13 -1.63 10.55% Counts Feb 15th Presidents Day Invite 2025
1 British Columbia** Loss 4-13 0 0% Ignored (Why) Feb 16th Presidents Day Invite 2025
77 California-San Diego-B** Win 13-2 0 0% Ignored (Why) Feb 16th Presidents Day Invite 2025
12 Utah Loss 8-10 8.02 10.27% Counts Feb 16th Presidents Day Invite 2025
22 California-Santa Barbara Win 9-6 53.6 9.38% Counts Feb 17th Presidents Day Invite 2025
15 Stanford Loss 4-13 -38.08 10.55% Counts (Why) Feb 17th Presidents Day Invite 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.