(25) #109 Washington State (11-8)

1179.1 (89)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
334 Portland State** Win 15-0 0 83 0% Ignored (Why) Jan 18th Pacific Confrontational Open 2020
351 Central Washington** Win 15-5 0 94 0% Ignored (Why) Jan 18th Pacific Confrontational Open 2020
142 Washington-B Win 13-11 4.97 34 5.33% Counts Jan 18th Pacific Confrontational Open 2020
74 Montana State Loss 9-12 -9.15 49 5.33% Counts Jan 19th Pacific Confrontational Open 2020
104 Gonzaga Loss 12-13 -5.71 64 5.33% Counts Jan 19th Pacific Confrontational Open 2020
142 Washington-B Loss 12-13 -14.96 34 5.33% Counts Jan 19th Pacific Confrontational Open 2020
192 Montana Win 11-5 20.74 47 6.74% Counts (Why) Feb 29th Big Sky Brawl 2020
75 Nevada-Reno Loss 9-11 -5.36 21 7.34% Counts Feb 29th Big Sky Brawl 2020
149 Brigham Young-B Win 11-4 30.93 36 6.74% Counts (Why) Feb 29th Big Sky Brawl 2020
298 Western Washington-B Win 11-5 -16.68 150 6.74% Counts (Why) Feb 29th Big Sky Brawl 2020
59 Whitman Loss 8-11 -8.28 3 7.34% Counts Feb 29th Big Sky Brawl 2020
74 Montana State Loss 6-9 -16.45 49 6.52% Counts Mar 1st Big Sky Brawl 2020
59 Whitman Win 9-5 53.13 3 6.3% Counts (Why) Mar 1st Big Sky Brawl 2020
358 Pacific Lutheran-B** Win 13-1 0 0% Ignored (Why) Mar 7th PLU BBQ 2020
174 Seattle Win 12-11 -10.12 7.74% Counts Mar 7th PLU BBQ 2020
122 Portland Loss 11-13 -23.39 129 7.74% Counts Mar 8th PLU BBQ 2020
334 Portland State** Win 13-0 0 83 0% Ignored (Why) Mar 8th PLU BBQ 2020
76 Puget Sound Loss 9-13 -20.98 190 7.74% Counts Mar 8th PLU BBQ 2020
174 Seattle Win 13-8 21.03 7.74% Counts Mar 8th PLU BBQ 2020
**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.