(1) #8 Stanford (17-5) SW 1

2060.45 (54)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
13 Victoria Win 8-6 3.15 46 4.15% Counts Jan 28th Santa Barbara Invitational 2023
84 Lewis & Clark** Win 15-3 0 33 0% Ignored (Why) Jan 28th Santa Barbara Invitational 2023
7 Brigham Young Loss 7-10 -13.67 51 4.58% Counts Jan 28th Santa Barbara Invitational 2023
23 California-Davis Win 12-6 3.93 26 4.71% Counts (Why) Jan 29th Santa Barbara Invitational 2023
12 California-Santa Barbara Win 8-7 -2.3 27 4.3% Counts Jan 29th Santa Barbara Invitational 2023
4 Carleton College Loss 9-11 -3.61 14 4.84% Counts Jan 29th Santa Barbara Invitational 2023
18 Colorado State Win 13-6 12.34 208 5.76% Counts (Why) Feb 18th President’s Day Invite
11 Oregon Win 9-8 1.5 60 5.44% Counts Feb 18th President’s Day Invite
35 UCLA Win 11-5 -0.22 85 5.28% Counts (Why) Feb 18th President’s Day Invite
26 Carleton College-Eclipse Win 13-4 5.6 35 5.76% Counts (Why) Feb 18th President’s Day Invite
81 Utah** Win 11-4 0 56 0% Ignored (Why) Feb 19th President’s Day Invite
37 Duke** Win 12-2 0 0 0% Ignored (Why) Feb 19th President’s Day Invite
61 Cal Poly-SLO** Win 10-3 0 44 0% Ignored (Why) Feb 19th President’s Day Invite
23 California-Davis Win 11-2 5.59 26 5.28% Counts (Why) Feb 19th President’s Day Invite
12 California-Santa Barbara Win 12-5 24.78 27 5.52% Counts (Why) Feb 20th President’s Day Invite
6 Colorado Loss 8-12 -19.06 27 5.76% Counts Feb 20th President’s Day Invite
30 California Win 10-5 0.73 91 6.08% Counts (Why) Mar 11th Stanford Invite Womens
27 Western Washington Win 11-5 4.5 72 6.28% Counts (Why) Mar 11th Stanford Invite Womens
7 Brigham Young Win 11-9 26.01 51 6.85% Counts Mar 11th Stanford Invite Womens
3 Tufts Loss 7-13 -25.95 21 6.85% Counts Mar 12th Stanford Invite Womens
30 California Win 10-7 -11.97 91 6.48% Counts Mar 12th Stanford Invite Womens
2 British Columbia Loss 6-9 -11.4 39 6.08% Counts Mar 12th Stanford Invite Womens
**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.