(1) #115 Cedarville (13-8)

947.08 (0)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
211 Georgetown-B** Win 9-3 0 1 0% Ignored (Why) Feb 15th 2025 Commonwealth Cup Weekend 1
212 Georgia-B** Win 8-1 0 0 0% Ignored (Why) Feb 15th 2025 Commonwealth Cup Weekend 1
49 Kenyon Loss 3-11 -2.07 0 4.12% Counts (Why) Feb 15th 2025 Commonwealth Cup Weekend 1
151 North Carolina-B Win 7-6 -5.12 0 3.71% Counts Feb 15th 2025 Commonwealth Cup Weekend 1
187 Wake Forest Win 9-6 -1.4 0 3.99% Counts Feb 16th 2025 Commonwealth Cup Weekend 1
149 Davidson Win 4-3 -3.29 0 2.72% Counts (Why) Feb 16th 2025 Commonwealth Cup Weekend 1
226 South Carolina-B** Win 12-5 0 1 0% Ignored (Why) Mar 29th Needle in a Ho Stack 2025
102 Virginia Tech Loss 7-9 -10.94 1 5.82% Counts Mar 29th Needle in a Ho Stack 2025
33 Georgia Tech** Loss 4-13 0 1 0% Ignored (Why) Mar 29th Needle in a Ho Stack 2025
159 Charleston Win 15-5 21.53 0 6.34% Counts (Why) Mar 30th Needle in a Ho Stack 2025
126 North Carolina-Wilmington Win 9-6 19.04 0 5.64% Counts Mar 30th Needle in a Ho Stack 2025
83 Clemson Loss 10-11 6.2 0 6.34% Counts Mar 30th Needle in a Ho Stack 2025
199 Oberlin Win 15-2 7.19 0 7.12% Counts (Why) Apr 12th Ohio D III Womens Conferences 2025
154 Xavier Win 14-3 25.33 0 7.12% Counts (Why) Apr 12th Ohio D III Womens Conferences 2025
49 Kenyon Loss 8-15 -1 0 7.12% Counts Apr 12th Ohio D III Womens Conferences 2025
199 Oberlin Win 11-9 -22.33 0 7.99% Counts Apr 26th Ohio Valley D III College Womens Regionals 2025
97 Lehigh Loss 7-12 -32.77 0 7.99% Counts Apr 26th Ohio Valley D III College Womens Regionals 2025
36 Haverford/Bryn Mawr** Loss 3-13 0 1 0% Ignored (Why) Apr 26th Ohio Valley D III College Womens Regionals 2025
154 Xavier Win 15-4 28.7 0 7.99% Counts (Why) Apr 26th Ohio Valley D III College Womens Regionals 2025
118 Swarthmore Win 11-10 10.18 0 7.99% Counts Apr 27th Ohio Valley D III College Womens Regionals 2025
97 Lehigh Loss 6-13 -39.68 0 7.99% Counts (Why) Apr 27th Ohio Valley D III College Womens Regionals 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.