(10) #144 Catholic (6-11)

734.05 (325)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
82 Tennessee Loss 5-7 8.43 282 5.9% Counts Feb 15th 2025 Commonwealth Cup Weekend 1
58 Davenport** Loss 1-9 0 256 0% Ignored (Why) Feb 15th 2025 Commonwealth Cup Weekend 1
103 Virginia Tech Loss 1-11 -20.86 205 6.81% Counts (Why) Feb 15th 2025 Commonwealth Cup Weekend 1
85 Richmond Loss 3-5 -0.2 208 4.82% Counts Feb 16th 2025 Commonwealth Cup Weekend 1
50 Liberty** Loss 1-11 0 331 0% Ignored (Why) Feb 16th 2025 Commonwealth Cup Weekend 1
75 Penn State Loss 2-6 -4.45 239 5.57% Counts (Why) Mar 1st Cherry Blossom Classic 2025
231 Johns Hopkins Win 8-2 1.57 342 6.48% Counts (Why) Mar 1st Cherry Blossom Classic 2025
239 William & Mary-B** Win 7-1 0 454 0% Ignored (Why) Mar 1st Cherry Blossom Classic 2025
47 American** Loss 3-10 0 355 0% Ignored (Why) Mar 2nd Cherry Blossom Classic 2025
98 Lehigh Win 7-2 61.51 186 6.04% Counts (Why) Mar 2nd Cherry Blossom Classic 2025
91 SUNY-Buffalo Loss 5-9 -11.32 200 7.15% Counts Mar 2nd Cherry Blossom Classic 2025
229 Elon Win 8-5 -12.43 38 9.75% Counts (Why) Apr 12th Atlantic Coast D III Womens Conferences 2025
150 Davidson Loss 7-8 -18.05 266 10.47% Counts Apr 12th Atlantic Coast D III Womens Conferences 2025
211 Mary Washington Win 9-4 15.58 9.75% Counts (Why) Apr 12th Atlantic Coast D III Womens Conferences 2025
85 Richmond Loss 4-9 -20.03 208 9.75% Counts (Why) Apr 13th Atlantic Coast D III Womens Conferences 2025
150 Davidson Loss 5-6 -15.2 266 8.97% Counts Apr 13th Atlantic Coast D III Womens Conferences 2025
211 Mary Washington Win 7-3 13.48 8.55% Counts (Why) Apr 13th Atlantic Coast D III Womens Conferences 2025
**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.