(12) #149 NYU (7-12)

627.15 (43)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
116 Colby Loss 5-7 -6.07 12 4.35% Counts Mar 5th No Sleep Till Brooklyn 2022
22 SUNY-Binghamton** Loss 3-12 0 34 0% Ignored (Why) Mar 5th No Sleep Till Brooklyn 2022
122 Bates Loss 4-9 -20.49 10 4.53% Counts (Why) Mar 6th No Sleep Till Brooklyn 2022
138 SUNY-Stony Brook Win 8-3 29.74 36 4.26% Counts (Why) Mar 6th No Sleep Till Brooklyn 2022
152 Harvard Win 9-7 17.15 96 6.33% Counts Apr 2nd Fuego
231 Dickinson** Win 10-2 0 41 0% Ignored (Why) Apr 2nd Fuego
82 Lehigh Loss 1-10 -9.81 43 6.03% Counts (Why) Apr 2nd Fuego
233 Messiah** Win 12-4 0 20 0% Ignored (Why) Apr 2nd Fuego
152 Harvard Win 11-9 16.57 96 6.9% Counts Apr 3rd Fuego
82 Lehigh Loss 4-14 -11.33 43 6.9% Counts (Why) Apr 3rd Fuego
200 Rutgers Win 10-2 18.19 44 6.77% Counts (Why) Apr 16th Eastern Metro East D I College Womens CC 2022
33 Yale Loss 6-13 19.29 30 7.74% Counts (Why) Apr 16th Eastern Metro East D I College Womens CC 2022
138 SUNY-Stony Brook Loss 8-9 -4.48 36 7.33% Counts Apr 16th Eastern Metro East D I College Womens CC 2022
104 Connecticut Loss 5-8 -11.08 36 6.41% Counts Apr 17th Eastern Metro East D I College Womens CC 2022
179 Princeton Win 9-8 -7.14 37 7.33% Counts Apr 17th Eastern Metro East D I College Womens CC 2022
104 Connecticut Loss 10-15 -15.41 36 8.69% Counts Apr 30th Metro East D I College Womens Regionals 2022
33 Yale** Loss 2-15 0 30 0% Ignored (Why) Apr 30th Metro East D I College Womens Regionals 2022
104 Connecticut Loss 8-10 2.69 36 8.46% Counts May 1st Metro East D I College Womens Regionals 2022
138 SUNY-Stony Brook Loss 7-9 -18.3 36 7.98% 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.