(28) #146 Brandeis (15-6)

961.68 (153)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
356 Clark** Win 12-3 0 236 0% Ignored (Why) Apr 2nd New England Open
313 Boston University-B** Win 13-3 0 148 0% Ignored (Why) Apr 2nd New England Open
180 Connecticut College Win 10-7 11.11 61 4.16% Counts Apr 2nd New England Open
185 Northeastern-B Win 10-9 -1.22 90 4.39% Counts Apr 2nd New England Open
317 Stonehill** Win 12-4 0 186 0% Ignored (Why) Apr 3rd New England Open
185 Northeastern-B Win 11-9 4.49 90 4.39% Counts Apr 3rd New England Open
187 Bryant Loss 6-9 -23.45 97 3.9% Counts Apr 3rd New England Open
317 Stonehill Win 15-7 -6.52 186 5.22% Counts (Why) Apr 23rd Metro Boston D III College Mens CC 2022
284 Bentley Win 15-7 2.4 104 5.22% Counts (Why) Apr 23rd Metro Boston D III College Mens CC 2022
148 Bates College Win 13-12 7.16 91 5.54% Counts Apr 30th New England D III College Mens Regionals 2022
138 Bowdoin Win 13-9 25.95 76 5.54% Counts Apr 30th New England D III College Mens Regionals 2022
187 Bryant Win 13-5 25.85 97 5.54% Counts (Why) Apr 30th New England D III College Mens Regionals 2022
148 Bates College Win 14-13 7.16 91 5.54% Counts May 1st New England D III College Mens Regionals 2022
123 Williams Loss 9-13 -17.95 127 5.54% Counts May 1st New England D III College Mens Regionals 2022
187 Bryant Win 13-12 -1.98 97 5.54% Counts May 1st New England D III College Mens Regionals 2022
34 St. Olaf Loss 4-15 -1.86 21 6.58% Counts (Why) May 21st 2022 D III College Championships
99 Oberlin Loss 9-15 -22.35 115 6.58% Counts May 21st 2022 D III College Championships
147 Grace Loss 12-14 -15.58 47 6.58% Counts May 21st 2022 D III College Championships
132 Ithaca Loss 9-13 -25.14 107 6.58% Counts May 22nd 2022 D III College Championships
180 Connecticut College Win 13-10 13.73 61 6.58% Counts May 22nd 2022 D III College Championships
196 Pacific Lutheran Win 15-10 18.06 193 6.58% Counts May 23rd 2022 D III College Championships
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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.