(3) #22 Western Washington (12-8)

1849.96 (13)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
5 Oregon Loss 9-15 -7.55 4 4.21% Counts Jan 25th Pac Con 2025
10 Oregon State Loss 12-15 -7.41 9 4.21% Counts Jan 25th Pac Con 2025
121 Simon Fraser Win 14-13 -24.37 176 4.21% Counts Jan 25th Pac Con 2025
175 Cal Poly-Humboldt** Win 15-1 0 64 0% Ignored (Why) Jan 26th Pac Con 2025
10 Oregon State Loss 12-15 -7.41 9 4.21% Counts Jan 26th Pac Con 2025
189 Oregon State-B** Win 15-6 0 77 0% Ignored (Why) Jan 26th Pac Con 2025
14 California Win 11-10 15.45 5 5.95% Counts Mar 8th Stanford Invite 2025 Mens
33 California-Santa Barbara Win 11-10 -4.05 5 5.95% Counts Mar 8th Stanford Invite 2025 Mens
123 Wisconsin-Milwaukee** Win 13-4 0 70 0% Ignored (Why) Mar 8th Stanford Invite 2025 Mens
12 British Columbia Win 11-10 15.63 11 5.95% Counts Mar 9th Stanford Invite 2025 Mens
41 California-San Diego Win 13-9 12.02 4 5.95% Counts Mar 9th Stanford Invite 2025 Mens
9 California-Santa Cruz Loss 11-13 -3.65 0 5.95% Counts Mar 9th Stanford Invite 2025 Mens
8 Brigham Young Loss 13-14 6.84 13 6.68% Counts Mar 21st Northwest Challenge 2025 mens
41 California-San Diego Win 15-11 10.93 4 6.68% Counts Mar 22nd Northwest Challenge 2025 mens
10 Oregon State Loss 14-15 0.48 9 6.68% Counts Mar 22nd Northwest Challenge 2025 mens
55 UCLA Win 15-13 -7.19 5 6.68% Counts Mar 22nd Northwest Challenge 2025 mens
23 Victoria Loss 13-15 -15.44 12 6.68% Counts Mar 22nd Northwest Challenge 2025 mens
33 California-Santa Barbara Win 15-11 13.75 5 6.68% Counts Mar 23rd Northwest Challenge 2025 mens
10 Oregon State Loss 13-15 -5.9 9 6.68% Counts Mar 23rd Northwest Challenge 2025 mens
23 Victoria Win 14-13 8.83 12 6.68% Counts Mar 23rd Northwest Challenge 2025 mens
**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.