(1) #119 Brown-B (11-6)

937.46 (0)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
45 American Win 8-6 58.39 1 6.06% Counts Mar 1st Cherry Blossom Classic 2025
138 George Washington Loss 7-8 -18.14 0 6.27% Counts Mar 1st Cherry Blossom Classic 2025
53 Maryland Loss 5-11 -5.56 1 6.48% Counts (Why) Mar 1st Cherry Blossom Classic 2025
244 Pennsylvania-B** Win 6-2 0 0 0% Ignored (Why) Mar 1st Cherry Blossom Classic 2025
168 Delaware Win 10-7 4.39 1 6.68% Counts Mar 2nd Cherry Blossom Classic 2025
238 William & Mary-B** Win 13-1 0 1 0% Ignored (Why) Mar 2nd Cherry Blossom Classic 2025
244 Pennsylvania-B** Win 15-1 0 0 0% Ignored (Why) Mar 2nd Cherry Blossom Classic 2025
86 Vermont-B Loss 4-8 -31.23 0 7.93% Counts Apr 12th New England Dev Womens Conferences 2025
182 Vermont-C Win 7-4 6.94 0 7.59% Counts (Why) Apr 12th New England Dev Womens Conferences 2025
232 Northeastern-B** Win 10-2 0 0 0% Ignored (Why) Apr 12th New England Dev Womens Conferences 2025
152 Tufts-B Win 7-6 -11.75 0 8.26% Counts Apr 13th New England Dev Womens Conferences 2025
86 Vermont-B Loss 5-8 -22.61 0 8.26% Counts Apr 13th New England Dev Womens Conferences 2025
182 Vermont-C Win 9-6 0.67 0 8.87% Counts Apr 13th New England Dev Womens Conferences 2025
147 Boston University Loss 10-12 -57.15 1 11.2% Counts Apr 26th New England D I College Womens Regionals 2025
38 MIT** Loss 4-12 0 1 0% Ignored (Why) Apr 26th New England D I College Womens Regionals 2025
150 Boston College Win 14-4 44.9 0 11.2% Counts (Why) Apr 27th New England D I College Womens Regionals 2025
174 New Hampshire Win 15-6 30.84 0 11.2% Counts (Why) Apr 27th New England D I College Womens Regionals 2025
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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.