(19) #163 Catholic (8-10)

812.68 (36)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
100 Davenport Loss 4-9 -8.87 25 4.39% Counts (Why) Feb 17th Commonwealth Cup Weekend 1 2024
217 Georgetown-B Win 9-4 3.67 183 4.39% Counts (Why) Feb 17th Commonwealth Cup Weekend 1 2024
138 Liberty Loss 2-8 -20.07 32 4.13% Counts (Why) Feb 17th Commonwealth Cup Weekend 1 2024
183 South Carolina-B Win 9-4 18.09 34 4.39% Counts (Why) Feb 18th Commonwealth Cup Weekend 1 2024
188 Wake Forest Win 10-4 17.2 8 4.64% Counts (Why) Feb 18th Commonwealth Cup Weekend 1 2024
132 Cedarville Loss 4-8 -16.51 56 4.22% Counts Feb 18th Commonwealth Cup Weekend 1 2024
214 Miami (Florida) Win 7-3 4.72 21 4.32% Counts (Why) Mar 2nd Cherry Blossom Classic 2024
219 William & Mary-B Win 9-3 3.65 395 4.93% Counts (Why) Mar 2nd Cherry Blossom Classic 2024
38 American Loss 5-11 17.99 139 5.47% Counts (Why) Mar 3rd Cherry Blossom Classic 2024
94 Lehigh Loss 5-7 6.7 105 4.74% Counts Mar 3rd Cherry Blossom Classic 2024
152 Delaware Win 10-6 31.75 86 5.47% Counts (Why) Mar 3rd Cherry Blossom Classic 2024
125 Johns Hopkins Loss 5-7 -3.91 54 4.74% Counts Mar 3rd Cherry Blossom Classic 2024
204 Elon Win 10-5 13.63 60 7.49% Counts (Why) Apr 13th Atlantic Coast D III Womens Conferences 2024
74 Davidson Loss 3-10 -2.98 239 7.36% Counts (Why) Apr 13th Atlantic Coast D III Womens Conferences 2024
176 Mary Washington Win 7-6 0.18 430 6.97% Counts Apr 13th Atlantic Coast D III Womens Conferences 2024
114 Richmond Loss 3-15 -26.35 180 8.43% Counts (Why) Apr 14th Atlantic Coast D III Womens Conferences 2024
114 Richmond Loss 6-7 14.13 180 6.97% Counts Apr 14th Atlantic Coast D III Womens Conferences 2024
176 Mary Washington Loss 2-9 -54.14 430 6.97% Counts (Why) Apr 14th Atlantic Coast D III Womens Conferences 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.