(2) #128 George Washington (10-11)

698.73 (65)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
137 East Carolina Win 8-5 13 54 3.16% Counts (Why) Feb 26th Cutlass Classic 2022
56 Liberty Loss 5-15 -3.11 46 3.82% Counts (Why) Feb 26th Cutlass Classic 2022
193 Wake Forest Win 12-5 6.98 59 3.67% Counts (Why) Feb 26th Cutlass Classic 2022
138 Navy Loss 8-9 -6.88 55 3.62% Counts Feb 26th Cutlass Classic 2022
69 Charleston Loss 2-12 -7.21 47 3.67% Counts (Why) Feb 27th Cutlass Classic 2022
103 George Mason Loss 4-12 -20.93 66 4.9% Counts (Why) Apr 2nd Atlantic Coast Open
196 Cornell-B Win 8-7 -16.25 74 4.54% Counts Apr 2nd Atlantic Coast Open
164 Richmond Win 11-5 18.14 77 4.68% Counts (Why) Apr 2nd Atlantic Coast Open
107 Mary Washington Loss 2-15 -24.47 129 5.11% Counts (Why) Apr 2nd Atlantic Coast Open
103 George Mason Win 9-7 23.26 66 4.68% Counts Apr 3rd Atlantic Coast Open
70 Cornell Loss 4-12 -9.85 90 4.9% Counts (Why) Apr 3rd Atlantic Coast Open
158 American Loss 7-8 -16.09 60 4.81% Counts Apr 9th Colonial D I College Womens CC 2022
- Johns Hopkins Win 9-7 -5.13 61 4.96% Counts Apr 9th Colonial D I College Womens CC 2022
159 Towson Win 12-4 22.2 59 5.19% Counts (Why) Apr 9th Colonial D I College Womens CC 2022
171 Maryland Win 8-2 13.96 64 4.21% Counts (Why) Apr 10th Colonial D I College Womens CC 2022
1 North Carolina** Loss 0-13 0 27 0% Ignored (Why) May 7th Atlantic Coast D I College Womens Regionals 2022
117 Virginia Commonwealth Win 13-3 48.98 52 6.81% Counts (Why) May 7th Atlantic Coast D I College Womens Regionals 2022
115 Georgetown Loss 4-13 -38.23 79 6.81% Counts (Why) May 7th Atlantic Coast D I College Womens Regionals 2022
88 South Carolina Loss 6-15 -22.27 46 6.81% Counts (Why) May 8th Atlantic Coast D I College Womens Regionals 2022
159 Towson Win 13-1 29.65 59 6.81% Counts (Why) May 8th Atlantic Coast D I College Womens Regionals 2022
56 Liberty Loss 5-15 -5.72 46 6.81% Counts (Why) May 8th Atlantic Coast D I College Womens Regionals 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.