(2) #42 Whitman (16-2)

1568.16 (263)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
133 Claremont Win 11-5 -9.32 327 6.05% Counts (Why) Feb 8th DIII Grand Prix 2025
52 Oregon State Win 13-7 32.01 251 6.59% Counts (Why) Feb 8th DIII Grand Prix 2025
113 Puget Sound Win 13-3 0.09 202 6.59% Counts (Why) Feb 8th DIII Grand Prix 2025
46 Carleton College-Eclipse Loss 9-12 -26.01 407 6.59% Counts Feb 9th DIII Grand Prix 2025
73 Colorado College Loss 9-13 -50.68 287 6.59% Counts Feb 9th DIII Grand Prix 2025
66 Lewis & Clark Win 13-6 24.43 342 6.59% Counts (Why) Feb 9th DIII Grand Prix 2025
76 Portland Win 13-10 -1.13 403 6.59% Counts Feb 9th DIII Grand Prix 2025
70 Montana Win 11-4 24.1 117 7.2% Counts (Why) Mar 1st Big Sky Brawl 2025
126 Montana State** Win 13-2 0 98 0% Ignored (Why) Mar 1st Big Sky Brawl 2025
117 Utah State Win 8-6 -23.23 573 6.73% Counts Mar 1st Big Sky Brawl 2025
208 Utah-B** Win 13-0 0 309 0% Ignored (Why) Mar 1st Big Sky Brawl 2025
70 Montana Win 9-7 -0.76 117 7.2% Counts Mar 2nd Big Sky Brawl 2025
126 Montana State** Win 11-0 0 98 0% Ignored (Why) Mar 2nd Big Sky Brawl 2025
208 Utah-B** Win 11-0 0 309 0% Ignored (Why) Mar 2nd Big Sky Brawl 2025
113 Puget Sound Win 13-4 0.16 202 11.09% Counts (Why) Apr 12th Northwest D III Womens Conferences 2025
190 Seattle** Win 13-2 0 315 0% Ignored (Why) Apr 12th Northwest D III Womens Conferences 2025
76 Portland Win 15-4 31.9 403 11.09% Counts (Why) Apr 13th Northwest D III Womens Conferences 2025
113 Puget Sound Win 15-3 0.16 202 11.09% Counts (Why) Apr 13th Northwest D III Womens Conferences 2025
**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.