(4) #10 Washington (17-1) NW 2

1913.39 (113)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
75 Southern California** Win 13-5 0 111 0% Ignored (Why) Mar 5th Stanford Invite 2022
20 Oregon Win 13-9 12.19 54 4.84% Counts Mar 5th Stanford Invite 2022
14 California Win 13-8 20.99 41 4.84% Counts Mar 5th Stanford Invite 2022
65 California-Santa Barbara Win 13-8 -1.53 10 4.84% Counts Mar 5th Stanford Invite 2022
58 Grand Canyon Win 13-5 6.26 12 4.84% Counts (Why) Mar 5th Stanford Invite 2022
39 Western Washington Win 13-6 11.6 102 4.84% Counts (Why) Mar 5th Stanford Invite 2022
210 Oregon State-B** Win 13-0 0 79 0% Ignored (Why) Apr 16th Cascadia D I College Mens CC 2022
27 British Columbia Win 11-10 -10.69 88 6.84% Counts Apr 16th Cascadia D I College Mens CC 2022
42 Victoria Win 11-9 -10.06 43 6.84% Counts Apr 16th Cascadia D I College Mens CC 2022
20 Oregon Win 9-8 -3.72 54 6.47% Counts Apr 17th Cascadia D I College Mens CC 2022
39 Western Washington Win 13-6 16.76 102 6.84% Counts (Why) Apr 17th Cascadia D I College Mens CC 2022
38 Oregon State Loss 9-13 -69.7 138 8.14% Counts May 7th Northwest D I College Mens Regionals 2022
181 Washington State** Win 13-2 0 166 0% Ignored (Why) May 7th Northwest D I College Mens Regionals 2022
77 Whitman Win 13-6 -2.28 164 8.14% Counts (Why) May 7th Northwest D I College Mens Regionals 2022
39 Western Washington Win 13-5 20.21 102 8.14% Counts (Why) May 7th Northwest D I College Mens Regionals 2022
20 Oregon Win 11-10 -4.76 54 8.14% Counts May 8th Northwest D I College Mens Regionals 2022
38 Oregon State Win 13-7 16.75 138 8.14% Counts (Why) May 8th Northwest D I College Mens Regionals 2022
27 British Columbia Win 13-11 -3.69 88 8.14% Counts May 8th Northwest D I College Mens 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.