(15) #157 Towson (8-9)

563.19 (87)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
117 Virginia Commonwealth Win 6-5 17.15 259 4.3% Counts Feb 26th Cherry Blossom Classic
90 New Hampshire Loss 5-7 7.38 52 4.49% Counts Feb 26th Cherry Blossom Classic
171 Pittsburgh-B Win 7-6 0.7 85 4.67% Counts Feb 26th Cherry Blossom Classic
156 American Win 8-4 26.62 42 4.49% Counts (Why) Feb 27th Cherry Blossom Classic
156 American Win 7-4 22.36 42 4.3% Counts (Why) Feb 27th Cherry Blossom Classic
218 William & Mary-B Win 5-2 4.46 67 3.43% Counts (Why) Feb 27th Cherry Blossom Classic
126 George Washington Loss 4-12 -33.18 4 7.66% Counts (Why) Apr 9th Colonial D I College Womens CC 2022
168 Maryland Win 8-7 3.25 26 7.09% Counts Apr 9th Colonial D I College Womens CC 2022
111 Georgetown Loss 1-10 -23.13 13 6.97% Counts (Why) Apr 9th Colonial D I College Womens CC 2022
- Johns Hopkins Win 8-5 19.26 74 6.6% Counts (Why) Apr 10th Colonial D I College Womens CC 2022
106 Delaware Loss 5-8 -7.36 104 6.6% Counts Apr 10th Colonial D I College Womens CC 2022
28 Appalachian State** Loss 4-13 0 192 0% Ignored (Why) May 7th Atlantic Coast D I College Womens Regionals 2022
106 Delaware Loss 4-11 -25.47 104 9.23% Counts (Why) May 7th Atlantic Coast D I College Womens Regionals 2022
91 South Carolina Loss 1-15 -13.74 17 10.06% Counts (Why) May 8th Atlantic Coast D I College Womens Regionals 2022
126 George Washington Loss 1-13 -44.71 4 10.06% Counts (Why) May 8th Atlantic Coast D I College Womens Regionals 2022
54 Liberty** Loss 3-15 0 46 0% Ignored (Why) May 8th Atlantic Coast D I College Womens Regionals 2022
117 Virginia Commonwealth Win 15-14 42.74 259 10.06% Counts May 8th Atlantic Coast 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.