(3) #21 Middlebury (18-1)

1595.5 (68)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
23 Carleton College-Eclipse Loss 7-8 -13.07 25 8.05% Counts Mar 19th College Southerns XX
183 Florida-B** Win 13-1 0 60 0% Ignored (Why) Mar 19th College Southerns XX
120 Wisconsin-Eau Claire** Win 11-3 0 23 0% Ignored (Why) Mar 19th College Southerns XX
23 Carleton College-Eclipse Win 12-10 21.31 25 9.06% Counts Mar 20th College Southerns XX
67 Charleston Win 11-6 10.14 57 8.57% Counts (Why) Mar 20th College Southerns XX
80 Emory Win 10-8 -25.96 70 9.35% Counts Mar 26th Needle in a Ho Stack
147 North Carolina-Wilmington** Win 15-4 0 54 0% Ignored (Why) Mar 26th Needle in a Ho Stack
238 University of North Carolina - Asheville** Win 15-1 0 32 0% Ignored (Why) Mar 26th Needle in a Ho Stack
28 Appalachian State Win 12-10 20.2 192 9.6% Counts Mar 27th Needle in a Ho Stack
86 Berry Win 15-5 6.81 84 9.6% Counts (Why) Mar 27th Needle in a Ho Stack
237 Emory-B** Win 15-0 0 32 0% Ignored (Why) Mar 27th Needle in a Ho Stack
122 Bates** Win 13-5 0 10 0% Ignored (Why) Apr 10th North New England D III College Womens CC 2022
178 Bowdoin** Win 10-3 0 5 0% Ignored (Why) Apr 10th North New England D III College Womens CC 2022
116 Colby** Win 13-5 0 12 0% Ignored (Why) Apr 10th North New England D III College Womens CC 2022
122 Bates** Win 13-2 0 10 0% Ignored (Why) Apr 30th New England D III College Womens Regionals 2022
84 Brandeis Win 7-5 -22.63 12 10.19% Counts Apr 30th New England D III College Womens Regionals 2022
37 Wellesley Win 8-6 16.19 12 11% Counts Apr 30th New England D III College Womens Regionals 2022
71 Amherst Win 9-7 -24.71 110 11.76% Counts May 1st New England D III College Womens Regionals 2022
37 Wellesley Win 11-9 11.72 12 12.82% Counts May 1st New England D III 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.