(1) #23 Carleton College-Eclipse (19-2)

1571.24 (25)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
74 St. Olaf Win 13-4 14.23 19 8.83% Counts (Why) Feb 26th Forever Winter Tournament
206 St. Olaf-B** Win 7-0 0 14 0% Ignored (Why) Feb 26th Forever Winter Tournament
151 Macalester** Win 13-1 0 14 0% Ignored (Why) Feb 26th Forever Winter Tournament
110 Michigan Tech** Win 13-3 0 12 0% Ignored (Why) Feb 26th Forever Winter Tournament
145 Illinois** Win 13-1 0 1 0% Ignored (Why) Mar 5th Midwest Throwdown 2022
120 Wisconsin-Eau Claire Win 8-4 -16.64 23 7.44% Counts (Why) Mar 5th Midwest Throwdown 2022
31 Purdue Win 6-3 31.98 5 6.44% Counts (Why) Mar 5th Midwest Throwdown 2022
66 Iowa Win 9-5 11.18 13 8.03% Counts (Why) Mar 6th Midwest Throwdown 2022
73 Northwestern Win 9-6 -3.09 6 8.32% Counts Mar 6th Midwest Throwdown 2022
35 Minnesota Loss 8-9 -24.06 11 8.85% Counts Mar 6th Midwest Throwdown 2022
34 Colorado State Win 9-8 0.62 12 8.85% Counts Mar 6th Midwest Throwdown 2022
140 Auburn** Win 13-5 0 49 0% Ignored (Why) Mar 19th College Southerns XX
67 Charleston Win 13-3 21.8 57 10.51% Counts (Why) Mar 19th College Southerns XX
21 Middlebury Win 8-7 15.37 68 9.33% Counts Mar 19th College Southerns XX
140 Auburn** Win 15-1 0 49 0% Ignored (Why) Mar 20th College Southerns XX
21 Middlebury Loss 10-12 -25.1 68 10.51% Counts Mar 20th College Southerns XX
221 Carleton College-C** Win 13-0 0 14 0% Ignored (Why) Apr 16th North Central D III College Womens CC 2022
206 St. Olaf-B** Win 13-2 0 14 0% Ignored (Why) Apr 16th North Central D III College Womens CC 2022
110 Michigan Tech** Win 13-5 0 12 0% Ignored (Why) Apr 16th North Central D III College Womens CC 2022
146 Grinnell** Win 10-3 0 13 0% Ignored (Why) Apr 16th North Central D III College Womens CC 2022
74 St. Olaf Win 10-8 -28.17 19 12.88% Counts Apr 17th North Central D III College Womens CC 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.