(7) #176 Connecticut College (13-5)

889.46 (20)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
342 Clark** Win 13-5 0 125 0% Ignored (Why) Apr 2nd New England Open
290 Boston University-B Win 10-8 -11.8 52 5.1% Counts Apr 2nd New England Open
118 Brandeis Loss 7-10 -8.58 7 4.95% Counts Apr 2nd New England Open
172 Northeastern-B Win 10-6 25.58 41 4.81% Counts (Why) Apr 2nd New England Open
171 Bryant Loss 6-13 -32.56 20 5.24% Counts (Why) Apr 3rd New England Open
223 Worcester Polytechnic Institute Win 10-8 4.01 21 5.1% Counts Apr 3rd New England Open
172 Northeastern-B Loss 8-9 -5.97 41 4.95% Counts Apr 3rd New England Open
301 Skidmore College Win 10-6 -2.34 38 5.72% Counts (Why) Apr 23rd Hudson Valley D III College Mens CC 2022
340 Hartford Win 13-6 -12.32 34 6.23% Counts (Why) Apr 23rd Hudson Valley D III College Mens CC 2022
207 Army Win 13-7 27.49 39 6.23% Counts (Why) Apr 23rd Hudson Valley D III College Mens CC 2022
200 Vassar Win 10-9 0.63 33 6.23% Counts Apr 23rd Hudson Valley D III College Mens CC 2022
298 Union Win 15-5 5.95 36 6.23% Counts (Why) Apr 24th Hudson Valley D III College Mens CC 2022
180 Wesleyan Loss 7-15 -40.9 35 6.23% Counts (Why) Apr 24th Hudson Valley D III College Mens CC 2022
167 SUNY Cortland Win 14-13 9.85 33 6.6% Counts Apr 30th Metro East D III College Mens Regionals 2022
292 Colgate Win 13-6 7.95 31 6.6% Counts (Why) Apr 30th Metro East D III College Mens Regionals 2022
272 College of New Jersey Win 13-5 15.4 39 6.6% Counts (Why) Apr 30th Metro East D III College Mens Regionals 2022
167 SUNY Cortland Win 15-5 43.41 33 6.6% Counts (Why) May 1st Metro East D III College Mens Regionals 2022
111 Ithaca Loss 4-15 -25.33 34 6.6% Counts (Why) May 1st Metro East D III College Mens 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.