(22) #95 Pennsylvania (12-9)

1207.84 (69)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
151 Liberty Loss 5-8 -26.29 1 3.66% Counts Feb 19th Commonwealth Cup Weekend 1
188 Mary Washington Loss 6-7 -19.16 1 3.66% Counts Feb 19th Commonwealth Cup Weekend 1
316 Virginia-B** Win 10-2 0 1 0% Ignored (Why) Feb 19th Commonwealth Cup Weekend 1
85 Richmond Loss 11-13 -8.77 27 4.43% Counts Feb 20th Commonwealth Cup Weekend 1
151 Liberty Win 10-6 10.96 1 4.06% Counts (Why) Feb 20th Commonwealth Cup Weekend 1
63 Northwestern Loss 11-12 2.72 8 4.43% Counts Feb 20th Commonwealth Cup Weekend 1
126 Boston University Loss 7-9 -23.27 33 5.43% Counts Mar 26th Hucktastic 2022
276 Villanova** Win 12-1 0 85 0% Ignored (Why) Mar 26th Hucktastic 2022
341 Temple-B** Win 10-0 0 51 0% Ignored (Why) Mar 26th Hucktastic 2022
366 Jefferson** Win 13-1 0 0% Ignored (Why) Mar 26th Hucktastic 2022
142 NYU Loss 9-10 -21.19 39 5.91% Counts Mar 26th Hucktastic 2022
366 Jefferson** Win 13-3 0 0% Ignored (Why) Mar 26th Hucktastic 2022
99 Lehigh Win 11-8 26.53 2 7.03% Counts Apr 16th East Penn D I College Mens CC 2022
64 Temple Loss 9-11 -5.26 19 7.03% Counts Apr 16th East Penn D I College Mens CC 2022
218 West Chester Win 10-9 -28.04 9 7.03% Counts Apr 16th East Penn D I College Mens CC 2022
237 Drexel Win 11-7 -5.81 33 6.84% Counts Apr 16th East Penn D I College Mens CC 2022
99 Lehigh Win 14-7 42.96 2 7.03% Counts (Why) Apr 17th East Penn D I College Mens CC 2022
164 Ohio Win 13-6 27.94 49 8.36% Counts (Why) May 7th Ohio Valley D I College Mens Regionals 2022
18 Ohio State Loss 8-12 10.98 15 8.36% Counts May 7th Ohio Valley D I College Mens Regionals 2022
182 West Virginia Win 13-1 23.58 62 8.36% Counts (Why) May 7th Ohio Valley D I College Mens Regionals 2022
48 Penn State Loss 9-12 -4.92 42 8.36% Counts May 8th Ohio Valley D I 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.