(2) #8 Vermont (14-4) NE 2

2003.92 (46)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
14 Georgia Win 11-4 16.53 21 4.37% Counts (Why) Feb 12th Queen City Tune Up 2022
76 Notre Dame Win 11-8 -26.53 11 4.76% Counts Feb 12th Queen City Tune Up 2022
44 William & Mary Win 9-4 -2.16 123 3.94% Counts (Why) Feb 12th Queen City Tune Up 2022
1 North Carolina Loss 8-12 -6.44 28 4.76% Counts Feb 13th Queen City Tune Up 2022
36 Michigan Win 12-3 1.94 26 4.57% Counts (Why) Feb 13th Queen City Tune Up 2022
13 Pittsburgh Win 13-6 18.68 13 4.76% Counts (Why) Feb 13th Queen City Tune Up 2022
6 Washington Win 15-12 26.81 72 6.74% Counts Mar 26th Northwest Challenge
16 Western Washington Win 15-11 6.42 5 6.74% Counts Mar 26th Northwest Challenge
46 Whitman Win 15-7 -4.14 6 6.74% Counts (Why) Mar 26th Northwest Challenge
1 North Carolina Loss 14-15 13.54 28 6.74% Counts Mar 27th Northwest Challenge
6 Washington Loss 13-14 -3.93 72 6.74% Counts Mar 27th Northwest Challenge
25 Brown Win 15-10 1.25 13 8.01% Counts Apr 16th Greater New England D I College Womens CC 2022
72 McGill** Win 12-4 0 84 0% Ignored (Why) Apr 16th Greater New England D I College Womens CC 2022
90 New Hampshire** Win 15-0 0 52 0% Ignored (Why) Apr 16th Greater New England D I College Womens CC 2022
25 Brown Win 9-7 -15.33 13 8.74% Counts May 7th New England D I College Womens Regionals 2022
24 Northeastern Win 8-5 1.74 6 7.88% Counts (Why) May 7th New England D I College Womens Regionals 2022
24 Northeastern Win 7-2 12.38 6 6.91% Counts (Why) May 8th New England D I College Womens Regionals 2022
7 Tufts Loss 4-8 -41.49 38 7.57% Counts May 8th New England D I College Womens Regionals 2022
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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.