(3) #23 Victoria (11-10)

1848.42 (12)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
12 British Columbia Loss 7-11 -13.29 11 3.73% Counts Jan 25th Santa Barbara Invite 2025
42 Stanford Win 9-8 -3.99 27 3.62% Counts Jan 25th Santa Barbara Invite 2025
55 UCLA Win 12-3 10.94 5 3.68% Counts (Why) Jan 25th Santa Barbara Invite 2025
9 California-Santa Cruz Win 8-7 10.49 0 3.4% Counts Jan 26th Santa Barbara Invite 2025
57 Illinois Win 11-5 9.72 44 3.51% Counts (Why) Jan 26th Santa Barbara Invite 2025
7 Washington Loss 5-13 -13.23 4 3.83% Counts (Why) Jan 26th Santa Barbara Invite 2025
2 Colorado Loss 11-13 7.42 146 4.55% Counts Feb 15th Presidents Day Invite 2025
55 UCLA Win 9-6 4.44 5 4.05% Counts Feb 15th Presidents Day Invite 2025
26 Utah Loss 7-11 -24.1 1 4.43% Counts Feb 15th Presidents Day Invite 2025
14 California Loss 11-13 -5.15 5 4.55% Counts Feb 16th Presidents Day Invite 2025
2 Colorado Loss 5-13 -10.28 146 4.55% Counts (Why) Feb 16th Presidents Day Invite 2025
50 Colorado State Loss 6-12 -40.17 35 4.43% Counts Feb 16th Presidents Day Invite 2025
41 California-San Diego Win 11-10 -4.86 4 4.55% Counts Feb 17th Presidents Day Invite 2025
33 California-Santa Barbara Win 13-8 14.73 5 4.55% Counts Feb 17th Presidents Day Invite 2025
10 Oregon State Loss 13-14 0.53 9 6.08% Counts Mar 22nd Northwest Challenge 2025 mens
55 UCLA Win 15-4 18.56 5 6.08% Counts (Why) Mar 22nd Northwest Challenge 2025 mens
26 Utah Win 15-10 25.94 1 6.08% Counts Mar 22nd Northwest Challenge 2025 mens
22 Western Washington Win 15-13 13.96 13 6.08% Counts Mar 22nd Northwest Challenge 2025 mens
9 California-Santa Cruz Win 13-12 19.27 0 6.08% Counts Mar 23rd Northwest Challenge 2025 mens
22 Western Washington Loss 13-14 -7.99 13 6.08% Counts Mar 23rd Northwest Challenge 2025 mens
7 Washington Loss 10-15 -12.03 4 6.08% Counts Mar 23rd Northwest Challenge 2025 mens
**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.