(4) #103 George Mason (8-9)

892.56 (66)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
55 James Madison Win 9-5 44.74 49 4.95% Counts (Why) Feb 19th Commonwealth Cup Weekend 1
79 MIT Loss 2-8 -21.59 54 4.49% Counts (Why) Feb 19th Commonwealth Cup Weekend 1
119 Catholic Win 7-6 -0.34 80 4.77% Counts Feb 20th Commonwealth Cup Weekend 1
67 Virginia Tech Loss 6-11 -18.11 50 5.46% Counts Feb 20th Commonwealth Cup Weekend 1
107 Mary Washington Win 8-4 24.8 129 4.58% Counts (Why) Feb 20th Commonwealth Cup Weekend 1
79 MIT Win 9-8 15.33 54 5.46% Counts Feb 20th Commonwealth Cup Weekend 1
128 George Washington Win 12-4 34.5 65 7.83% Counts (Why) Apr 2nd Atlantic Coast Open
70 Cornell Loss 5-10 -28.04 90 7.25% Counts Apr 2nd Atlantic Coast Open
196 Cornell-B** Win 11-4 0 74 0% Ignored (Why) Apr 2nd Atlantic Coast Open
164 Richmond Win 12-4 14.89 77 7.83% Counts (Why) Apr 2nd Atlantic Coast Open
107 Mary Washington Win 9-6 28.91 129 7.25% Counts Apr 3rd Atlantic Coast Open
128 George Washington Loss 7-9 -38.29 65 7.49% Counts Apr 3rd Atlantic Coast Open
55 James Madison Loss 6-9 -7.39 49 7.68% Counts Apr 9th Virginia D I College Womens CC 2022
20 Virginia** Loss 4-12 0 15 0% Ignored (Why) Apr 9th Virginia D I College Womens CC 2022
44 William & Mary Loss 4-13 -15.71 25 8.64% Counts (Why) Apr 9th Virginia D I College Womens CC 2022
67 Virginia Tech Loss 9-10 10.21 50 8.64% Counts Apr 10th Virginia D I College Womens CC 2022
117 Virginia Commonwealth Loss 6-9 -45.15 52 7.68% Counts Apr 10th Virginia D I College Womens CC 2022
**Blowout Eligible. Learn more about how this works here.

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.