(31) #155 Washington-B (11-10)

1300 (435)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
255 Cal State-Long Beach Win 13-8 4.99 201 4.03% Counts Feb 3rd Stanford Open 2024
354 California-Santa Cruz-B Win 11-6 -10.38 252 3.81% Counts (Why) Feb 3rd Stanford Open 2024
169 Puget Sound Loss 6-12 -25.59 9 3.92% Counts Feb 3rd Stanford Open 2024
361 Oregon State-B** Win 13-3 0 449 0% Ignored (Why) Mar 2nd PLU Mens BBQ
355 Portland State** Win 13-3 0 386 0% Ignored (Why) Mar 2nd PLU Mens BBQ
365 Seattle Win 13-6 -14.35 377 5.08% Counts (Why) Mar 2nd PLU Mens BBQ
160 Washington State Win 11-9 12.46 330 5.08% Counts Mar 2nd PLU Mens BBQ
169 Puget Sound Loss 8-10 -16.14 9 4.94% Counts Mar 3rd PLU Mens BBQ
239 Reed Win 13-9 5.77 567 5.08% Counts Mar 3rd PLU Mens BBQ
160 Washington State Loss 4-7 -20.58 330 3.86% Counts Mar 3rd PLU Mens BBQ
21 British Columbia** Loss 3-15 0 249 0% Ignored (Why) Apr 13th Cascadia D I Mens Conferences 2024
177 British Columbia -B Win 12-11 2.64 7.18% Counts Apr 13th Cascadia D I Mens Conferences 2024
19 Oregon State** Loss 4-15 0 229 0% Ignored (Why) Apr 13th Cascadia D I Mens Conferences 2024
177 British Columbia -B Win 14-12 10.06 7.18% Counts Apr 14th Cascadia D I Mens Conferences 2024
361 Oregon State-B** Win 15-4 0 449 0% Ignored (Why) Apr 14th Cascadia D I Mens Conferences 2024
66 Western Washington Loss 2-15 -17.52 251 7.18% Counts (Why) Apr 14th Cascadia D I Mens Conferences 2024
21 British Columbia Loss 6-13 13.99 249 8.54% Counts (Why) May 4th Northwest D I College Mens Regionals 2024
19 Oregon State Loss 10-13 43.89 229 8.54% Counts May 4th Northwest D I College Mens Regionals 2024
40 Victoria Loss 2-13 -3.97 272 8.54% Counts (Why) May 4th Northwest D I College Mens Regionals 2024
160 Washington State Win 13-10 29.12 330 8.54% Counts May 4th Northwest D I College Mens Regionals 2024
58 Utah Valley Loss 7-13 -11.2 205 8.54% Counts May 5th Northwest D I College Mens Regionals 2024
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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.