() #16 Western Washington (11-11) NW 4

1700.37 (11)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
8 Stanford Loss 3-7 -9.94 15 3.06% Counts (Why) Mar 5th Stanford Invite 2022
4 California-Santa Barbara Loss 6-11 -3.65 9 4% Counts Mar 5th Stanford Invite 2022
2 Colorado Loss 3-13 -2.7 74 4.22% Counts (Why) Mar 5th Stanford Invite 2022
27 California Win 9-8 -3.13 19 4% Counts Mar 6th Stanford Invite 2022
40 Whitman Win 10-8 -4.17 6 4.11% Counts Mar 6th Stanford Invite 2022
18 UCLA Win 10-6 16.71 10 3.88% Counts (Why) Mar 6th Stanford Invite 2022
5 British Columbia Loss 3-15 -10.24 29 5.02% Counts (Why) Mar 26th Northwest Challenge
9 California-San Diego Loss 7-15 -18.1 3 5.02% Counts (Why) Mar 26th Northwest Challenge
8 Stanford Win 13-12 21.71 15 5.02% Counts Mar 26th Northwest Challenge
20 Virginia Win 15-9 21.39 15 5.02% Counts Mar 26th Northwest Challenge
10 Vermont Loss 11-15 -7.93 72 5.02% Counts Mar 26th Northwest Challenge
46 Victoria Win 10-6 5.32 5 5.48% Counts (Why) Apr 16th Cascadia D I College Womens CC 2022
6 Washington Loss 8-12 -4.63 6 5.97% Counts Apr 16th Cascadia D I College Womens CC 2022
- Washington-B** Win 13-2 0 0% Ignored (Why) Apr 16th Cascadia D I College Womens CC 2022
5 British Columbia Loss 2-13 -12.3 29 5.97% Counts (Why) Apr 17th Cascadia D I College Womens CC 2022
17 Oregon Win 13-7 32.25 8 5.97% Counts (Why) Apr 17th Cascadia D I College Womens CC 2022
5 British Columbia Loss 8-12 -2.66 29 7.1% Counts May 7th Northwest D I College Womens Regionals 2022
6 Washington Loss 8-13 -9.78 6 7.1% Counts May 7th Northwest D I College Womens Regionals 2022
104 Montana State** Win 13-5 0 14 0% Ignored (Why) May 7th Northwest D I College Womens Regionals 2022
97 Utah** Win 13-2 0 10 0% Ignored (Why) May 7th Northwest D I College Womens Regionals 2022
46 Victoria Win 14-5 14.96 5 7.1% Counts (Why) May 8th Northwest D I College Womens Regionals 2022
17 Oregon Loss 8-10 -23.21 8 6.91% Counts May 8th Northwest D I College Womens Regionals 2022
**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.