(38) #315 George Washington-B (9-12)

282.37 (212)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
219 Maryland-B Loss 6-11 -4.36 65 3.59% Counts Mar 5th Smellfish Invite
306 Virginia Tech-B Win 10-6 19.6 79 3.48% Counts (Why) Mar 5th Smellfish Invite
344 William & Mary-B Win 10-4 13.72 85 3.31% Counts (Why) Mar 5th Smellfish Invite
219 Maryland-B Loss 10-11 12.01 65 3.79% Counts Mar 6th Smellfish Invite
123 South Carolina-B Loss 8-12 14.54 77 3.79% Counts Mar 6th Smellfish Invite
263 James Madison-B Win 9-4 27.77 78 3.14% Counts (Why) Mar 6th Smellfish Invite
228 Navy-B Loss 3-13 -9.15 126 4.51% Counts (Why) Mar 26th Hoos Huckin
306 Virginia Tech-B Loss 8-10 -9.9 79 4.39% Counts Mar 26th Hoos Huckin
344 William & Mary-B Win 8-2 14.56 85 3.51% Counts (Why) Mar 26th Hoos Huckin
263 James Madison-B Loss 7-8 5.51 78 4.01% Counts Mar 27th Hoos Huckin
358 Georgetown-B Loss 7-8 -22.14 95 4.01% Counts Mar 27th Hoos Huckin
344 William & Mary-B Loss 8-11 -26.71 85 4.51% Counts Mar 27th Hoos Huckin
228 Navy-B Loss 11-12 16.96 126 5.68% Counts Apr 23rd Colonial Dev College Mens CC 2022
362 American-B Win 15-2 6.75 103 5.68% Counts (Why) Apr 23rd Colonial Dev College Mens CC 2022
356 Towson -B Win 15-5 13.4 95 5.68% Counts (Why) Apr 23rd Colonial Dev College Mens CC 2022
358 Georgetown-B Win 15-8 9.62 95 5.68% Counts (Why) Apr 24th Colonial Dev College Mens CC 2022
352 Delaware-B Win 14-7 16.74 10 5.68% Counts (Why) Apr 24th Colonial Dev College Mens CC 2022
219 Maryland-B Loss 6-15 -11.61 65 6.38% Counts (Why) May 7th Atlantic Coast Dev College Mens Regionals 2022
352 Delaware-B Loss 10-14 -47.97 10 6.38% Counts May 7th Atlantic Coast Dev College Mens Regionals 2022
316 Virginia-B Loss 12-15 -20.77 1 6.38% Counts May 7th Atlantic Coast Dev College Mens Regionals 2022
352 Delaware-B Win 30-30 -20.8 10 6.38% Counts May 8th Atlantic Coast Dev 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.