(3) #98 Pennsylvania (12-9)

1165.17 (43)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
157 Liberty Loss 5-8 -26.22 41 3.66% Counts Feb 19th Commonwealth Cup Weekend 1
188 Mary Washington Loss 6-7 -18.7 31 3.66% Counts Feb 19th Commonwealth Cup Weekend 1
318 Virginia-B** Win 10-2 0 36 0% Ignored (Why) Feb 19th Commonwealth Cup Weekend 1
87 Richmond Loss 11-13 -8.01 26 4.43% Counts Feb 20th Commonwealth Cup Weekend 1
157 Liberty Win 10-6 11.03 41 4.06% Counts (Why) Feb 20th Commonwealth Cup Weekend 1
64 Northwestern Loss 11-12 3.64 23 4.43% Counts Feb 20th Commonwealth Cup Weekend 1
129 Boston University Loss 7-9 -22.62 31 5.43% Counts Mar 26th Hucktastic 2022
277 Villanova** Win 12-1 0 36 0% Ignored (Why) Mar 26th Hucktastic 2022
341 Temple-B** Win 10-0 0 33 0% Ignored (Why) Mar 26th Hucktastic 2022
366 Jefferson** Win 13-1 0 35 0% Ignored (Why) Mar 26th Hucktastic 2022
154 NYU Loss 9-10 -21.34 45 5.91% Counts Mar 26th Hucktastic 2022
366 Jefferson** Win 13-3 0 35 0% Ignored (Why) Mar 26th Hucktastic 2022
100 Lehigh Win 11-8 26.83 39 7.03% Counts Apr 16th East Penn D I College Mens CC 2022
65 Temple Loss 9-11 -4.13 28 7.03% Counts Apr 16th East Penn D I College Mens CC 2022
229 West Chester Win 10-9 -27.85 40 7.03% Counts Apr 16th East Penn D I College Mens CC 2022
242 Drexel Win 11-7 -5.32 36 6.84% Counts Apr 16th East Penn D I College Mens CC 2022
100 Lehigh Win 14-7 43.26 39 7.03% Counts (Why) Apr 17th East Penn D I College Mens CC 2022
170 Ohio Win 13-6 28.65 35 8.36% Counts (Why) May 7th Ohio Valley D I College Mens Regionals 2022
24 Ohio State Loss 8-12 5.12 107 8.36% Counts May 7th Ohio Valley D I College Mens Regionals 2022
179 West Virginia Win 13-1 24.04 38 8.36% Counts (Why) May 7th Ohio Valley D I College Mens Regionals 2022
51 Penn State Loss 9-12 -5.57 50 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.