(4) #177 Washington State (8-9)

842.1 (29)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
296 Central Washington Win 15-13 -16.94 28 5.87% Counts Mar 12th Palouse Open 2022
302 Idaho Loss 11-12 -40.74 28 5.87% Counts Mar 12th Palouse Open 2022
223 Montana Win 15-10 18.69 28 5.87% Counts Mar 12th Palouse Open 2022
296 Central Washington Win 13-6 7.1 28 5.87% Counts (Why) Mar 13th Palouse Open 2022
296 Central Washington Win 12-8 -2.8 28 5.87% Counts Mar 13th Palouse Open 2022
223 Montana Loss 9-10 -17.36 28 5.87% Counts Mar 13th Palouse Open 2022
223 Montana Loss 6-11 -41.14 28 5.55% Counts Mar 13th Palouse Open 2022
159 Boise State Loss 11-13 -13.28 24 7.83% Counts Apr 16th Big Sky D I College Mens CC 2022
15 Utah State** Loss 3-15 0 30 0% Ignored (Why) Apr 16th Big Sky D I College Mens CC 2022
302 Idaho Win 15-5 6.06 28 7.83% Counts (Why) Apr 17th Big Sky D I College Mens CC 2022
223 Montana Win 14-8 32.49 28 7.83% Counts (Why) Apr 17th Big Sky D I College Mens CC 2022
178 Montana State Win 15-10 38.23 26 7.83% Counts Apr 17th Big Sky D I College Mens CC 2022
38 Oregon State Loss 6-13 7.36 31 9.31% Counts (Why) May 7th Northwest D I College Mens Regionals 2022
45 Utah** Loss 5-13 0 6 0% Ignored (Why) May 7th Northwest D I College Mens Regionals 2022
11 Washington** Loss 2-13 0 65 0% Ignored (Why) May 7th Northwest D I College Mens Regionals 2022
302 Idaho Win 13-3 7.32 28 9.31% Counts (Why) May 8th Northwest D I College Mens Regionals 2022
82 Whitman Loss 11-13 17.66 45 9.31% 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.