(11) #224 American (5-13)

731.75 (64)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
73 Richmond Loss 5-11 1.44 20 4.24% Counts (Why) Jan 27th Mid Atlantic Warm Up
68 James Madison Loss 7-13 4.25 20 4.62% Counts Jan 27th Mid Atlantic Warm Up
142 Boston University Loss 8-11 -1.39 17 4.62% Counts Jan 27th Mid Atlantic Warm Up
96 Connecticut Loss 4-14 -3.99 26 4.62% Counts (Why) Jan 28th Mid Atlantic Warm Up
156 Johns Hopkins Loss 8-12 -7.46 53 4.62% Counts Jan 28th Mid Atlantic Warm Up
298 Mary Washington Win 11-6 8.17 210 4.37% Counts (Why) Jan 28th Mid Atlantic Warm Up
208 Virginia Commonwealth Loss 7-11 -24.84 52 5.67% Counts Feb 24th Monument Melee
175 Maryland-Baltimore County Loss 7-11 -16.27 11 5.67% Counts Feb 24th Monument Melee
280 Drexel Loss 8-9 -22.34 32 5.51% Counts Feb 24th Monument Melee
184 George Mason Win 11-7 36.74 70 5.67% Counts Feb 25th Monument Melee
208 Virginia Commonwealth Loss 11-14 -16.06 52 5.83% Counts Feb 25th Monument Melee
175 Maryland-Baltimore County Loss 8-10 -3.99 11 5.67% Counts Feb 25th Monument Melee
252 Dickinson Loss 11-12 -20.77 80 7.78% Counts Mar 30th Atlantic Coast Open 2024
62 Massachusetts -B** Loss 4-15 0 149 0% Ignored (Why) Mar 30th Atlantic Coast Open 2024
206 George Washington Loss 11-13 -13.26 125 7.78% Counts Mar 30th Atlantic Coast Open 2024
231 Christopher Newport Win 15-7 48.97 59 7.78% Counts (Why) Mar 30th Atlantic Coast Open 2024
256 Virginia Tech-B Win 15-12 12.26 97 7.78% Counts Mar 31st Atlantic Coast Open 2024
298 Mary Washington Win 15-7 19.56 210 7.78% Counts (Why) Mar 31st Atlantic Coast Open 2024
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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.