(1) #7 Oregon (19-4) NW 2

1901.45 (30)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
76 Stanford Win 15-4 0.21 37 3.94% Counts (Why) Jan 28th Santa Barbara Invitational 2023
47 Western Washington Win 11-9 -9.47 38 3.94% Counts Jan 28th Santa Barbara Invitational 2023
71 Northwestern Win 15-3 0.83 99 3.94% Counts (Why) Jan 28th Santa Barbara Invitational 2023
24 California Loss 10-11 -16.42 33 3.94% Counts Jan 28th Santa Barbara Invitational 2023
63 Utah Win 15-8 0.35 20 3.94% Counts (Why) Jan 29th Santa Barbara Invitational 2023
9 California-Santa Cruz Loss 12-13 -8.15 25 3.94% Counts Jan 29th Santa Barbara Invitational 2023
19 Washington Win 12-9 4.89 34 3.94% Counts Jan 29th Santa Barbara Invitational 2023
32 Victoria Win 10-6 5.86 14 3.62% Counts (Why) Jan 29th Santa Barbara Invitational 2023
42 Emory Win 13-9 -1.39 20 4.69% Counts Feb 18th President’s Day Invite
9 California-Santa Cruz Win 13-9 16.97 25 4.69% Counts Feb 18th President’s Day Invite
44 Grand Canyon Win 14-8 3.89 30 4.69% Counts (Why) Feb 18th President’s Day Invite
94 California-Santa Barbara** Win 15-4 0 32 0% Ignored (Why) Feb 19th President’s Day Invite
24 California Win 13-9 7.05 33 4.69% Counts Feb 19th President’s Day Invite
31 Oregon State Win 11-8 1.59 29 4.69% Counts Feb 19th President’s Day Invite
14 UCLA Win 10-9 -0.63 17 4.69% Counts Feb 19th President’s Day Invite
6 Colorado Win 14-13 7.18 70 4.69% Counts Feb 20th President’s Day Invite
8 Cal Poly-SLO Win 12-9 15.28 29 4.69% Counts Feb 20th President’s Day Invite
30 Utah State Win 13-8 9.97 32 5.26% Counts Mar 4th Stanford Invite Mens
91 Santa Clara Win 11-7 -11.67 26 5.12% Counts Mar 4th Stanford Invite Mens
32 Victoria Win 13-9 4.36 14 5.26% Counts Mar 4th Stanford Invite Mens
24 California Win 13-6 18.04 33 5.26% Counts (Why) Mar 5th Stanford Invite Mens
9 California-Santa Cruz Loss 7-11 -29.17 25 5.12% Counts Mar 5th Stanford Invite Mens
19 Washington Loss 10-11 -19.51 34 5.26% Counts Mar 5th Stanford Invite 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.