(5) #156 George Washington (11-9)

840.57 (49)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
204 Elon Win 7-2 6.27 60 3.62% Counts (Why) Feb 17th Commonwealth Cup Weekend 1 2024
229 Virginia-B Win 7-5 -14.59 302 3.97% Counts Feb 17th Commonwealth Cup Weekend 1 2024
63 Tennessee Loss 6-13 1.97 43 5% Counts (Why) Feb 17th Commonwealth Cup Weekend 1 2024
138 Liberty Loss 7-8 -0.87 32 4.44% Counts Feb 18th Commonwealth Cup Weekend 1 2024
63 Tennessee Loss 3-6 3.23 43 3.44% Counts Feb 18th Commonwealth Cup Weekend 1 2024
38 American** Loss 1-12 0 139 0% Ignored (Why) Mar 2nd Cherry Blossom Classic 2024
200 Towson Win 8-7 -14.03 3 4.98% Counts Mar 2nd Cherry Blossom Classic 2024
240 American-B** Win 10-1 0 385 0% Ignored (Why) Mar 3rd Cherry Blossom Classic 2024
94 Lehigh Loss 6-10 -3.31 105 5.15% Counts Mar 3rd Cherry Blossom Classic 2024
214 Miami (Florida) Win 13-1 4.55 21 5.61% Counts (Why) Mar 3rd Cherry Blossom Classic 2024
152 Delaware Win 9-8 8.4 86 5.3% Counts Mar 3rd Cherry Blossom Classic 2024
220 Dickinson Win 13-6 2.48 198 7.06% Counts (Why) Mar 30th Atlantic Coast Open 2024
168 Swarthmore Win 12-7 34.75 204 7.06% Counts (Why) Mar 30th Atlantic Coast Open 2024
114 Richmond Win 8-6 37.84 180 6.06% Counts Mar 30th Atlantic Coast Open 2024
244 Cornell-B** Win 12-3 0 210 0% Ignored (Why) Mar 31st Atlantic Coast Open 2024
125 Johns Hopkins Loss 5-14 -28.76 54 7.06% Counts (Why) Mar 31st Atlantic Coast Open 2024
98 Maryland Loss 5-15 -15.65 167 7.06% Counts (Why) Mar 31st Atlantic Coast Open 2024
125 Johns Hopkins Loss 4-11 -31.61 54 7.71% Counts (Why) Apr 20th Colonial D I Womens Conferences 2024
200 Towson Win 12-1 18.19 3 8.06% Counts (Why) Apr 20th Colonial D I Womens Conferences 2024
152 Delaware Loss 10-11 -9.18 86 8.4% Counts Apr 21st Colonial D I Womens Conferences 2024
**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.