(6) #104 Connecticut (12-9)

918.93 (36)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
84 Brandeis Loss 7-8 1.04 12 4.16% Counts Mar 5th Philly Special
82 Lehigh Win 9-8 13 43 4.43% Counts Mar 5th Philly Special
33 Yale Loss 4-14 -3.05 30 4.68% Counts (Why) Mar 5th Philly Special
84 Brandeis Win 8-7 11.89 12 4.16% Counts Mar 6th Philly Special
184 Northeastern-B Win 10-2 3.32 34 4.09% Counts (Why) Mar 6th Philly Special
33 Yale Loss 4-15 -3.05 30 4.68% Counts (Why) Mar 6th Philly Special
83 West Chester Loss 5-11 -24.2 91 5.11% Counts (Why) Mar 26th Garden State 2022
143 Swarthmore Win 10-5 16.81 57 4.95% Counts (Why) Mar 26th Garden State 2022
70 Mount Holyoke Loss 5-7 -5.24 73 4.43% Counts Mar 26th Garden State 2022
236 College of New Jersey** Win 12-0 0 15 0% Ignored (Why) Mar 27th Garden State 2022
45 Columbia Loss 4-6 2.62 26 4.04% Counts Mar 27th Garden State 2022
234 Temple -B** Win 7-2 0 20 0% Ignored (Why) Mar 27th Garden State 2022
200 Rutgers** Win 12-3 0 44 0% Ignored (Why) Apr 16th Eastern Metro East D I College Womens CC 2022
45 Columbia Loss 3-13 -12.22 26 6.63% Counts (Why) Apr 16th Eastern Metro East D I College Womens CC 2022
179 Princeton Win 12-5 6.3 37 6.36% Counts (Why) Apr 16th Eastern Metro East D I College Womens CC 2022
149 NYU Win 8-5 9.38 43 5.48% Counts (Why) Apr 17th Eastern Metro East D I College Womens CC 2022
45 Columbia Loss 8-13 -5.5 26 7.44% Counts Apr 30th Metro East D I College Womens Regionals 2022
149 NYU Win 15-10 13 43 7.44% Counts Apr 30th Metro East D I College Womens Regionals 2022
60 Cornell Loss 7-11 -14.65 33 7.24% Counts Apr 30th Metro East D I College Womens Regionals 2022
138 SUNY-Stony Brook Win 11-10 -7.91 36 7.44% Counts May 1st Metro East D I College Womens Regionals 2022
149 NYU Win 10-8 -2.27 43 7.24% Counts May 1st Metro East 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.