(12) #118 Puget Sound (7-11)

1110.05 (41)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
37 Carleton College-Eclipse** Loss 4-12 0 106 0% Ignored (Why) Feb 10th DIII Grand Prix
75 Lewis & Clark Win 8-7 18.12 90 4.44% Counts Feb 10th DIII Grand Prix
43 Portland Loss 4-8 -0.55 23 3.97% Counts Feb 10th DIII Grand Prix
46 Whitman Loss 5-9 0.05 52 4.29% Counts Feb 10th DIII Grand Prix
48 Colorado College Loss 2-10 -4.41 95 4.37% Counts (Why) Feb 11th DIII Grand Prix
75 Lewis & Clark Loss 3-9 -14.44 90 4.13% Counts (Why) Feb 11th DIII Grand Prix
154 Oregon State Win 7-5 3.2 35 3.97% Counts Feb 11th DIII Grand Prix
154 Oregon State Win 8-6 2.52 35 4.81% Counts Feb 24th PLU Womens BBQ 2024
189 Pacific Lutheran Win 13-0 3.34 5.61% Counts (Why) Feb 24th PLU Womens BBQ 2024
43 Portland Loss 8-12 6.56 23 5.61% Counts Feb 24th PLU Womens BBQ 2024
154 Oregon State Win 10-3 17.99 35 4.9% Counts (Why) Feb 25th PLU Womens BBQ 2024
43 Portland Loss 4-9 -2.36 23 4.64% Counts (Why) Feb 25th PLU Womens BBQ 2024
75 Lewis & Clark Loss 7-11 -17.98 90 8.18% Counts Apr 13th Northwest D III Womens Conferences 2024
189 Pacific Lutheran Win 15-1 5.16 8.4% Counts (Why) Apr 13th Northwest D III Womens Conferences 2024
43 Portland Loss 6-13 -4.45 23 8.4% Counts (Why) Apr 13th Northwest D III Womens Conferences 2024
46 Whitman Loss 4-14 -6.4 52 8.4% Counts (Why) Apr 13th Northwest D III Womens Conferences 2024
75 Lewis & Clark Loss 6-9 -12.39 90 7.47% Counts Apr 14th Northwest D III Womens Conferences 2024
189 Pacific Lutheran Win 13-3 5.16 8.4% Counts (Why) Apr 14th Northwest D III Womens Conferences 2024
**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.