(15) #114 Richmond (12-5)

1126.29 (180)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
183 South Carolina-B Win 7-6 -17.37 34 4.21% Counts Feb 17th Commonwealth Cup Weekend 1 2024
132 Cedarville Win 7-6 0.05 56 4.21% Counts Feb 17th Commonwealth Cup Weekend 1 2024
50 Georgetown Loss 5-9 -2.47 82 4.37% Counts Feb 17th Commonwealth Cup Weekend 1 2024
38 American Loss 1-13 -0.14 139 5.09% Counts (Why) Feb 18th Commonwealth Cup Weekend 1 2024
100 Davenport Win 8-7 10.34 25 4.53% Counts Feb 18th Commonwealth Cup Weekend 1 2024
156 George Washington Loss 6-8 -38.65 49 6.18% Counts Mar 30th Atlantic Coast Open 2024
220 Dickinson** Win 13-1 0 198 0% Ignored (Why) Mar 30th Atlantic Coast Open 2024
168 Swarthmore Win 11-7 8.89 204 7.01% Counts Mar 30th Atlantic Coast Open 2024
125 Johns Hopkins Loss 7-9 -24.32 54 6.61% Counts Mar 31st Atlantic Coast Open 2024
176 Mary Washington Win 14-2 12.72 430 7.21% Counts (Why) Mar 31st Atlantic Coast Open 2024
98 Maryland Win 10-9 18.12 167 7.21% Counts Mar 31st Atlantic Coast Open 2024
204 Elon Win 11-6 -14.28 60 7.65% Counts (Why) Apr 13th Atlantic Coast D III Womens Conferences 2024
74 Davidson Loss 9-11 -0.03 239 8.09% Counts Apr 13th Atlantic Coast D III Womens Conferences 2024
176 Mary Washington Win 9-4 11.74 430 6.69% Counts (Why) Apr 13th Atlantic Coast D III Womens Conferences 2024
163 Catholic Win 15-3 25.2 36 8.09% Counts (Why) Apr 14th Atlantic Coast D III Womens Conferences 2024
163 Catholic Win 7-6 -13.52 36 6.69% Counts Apr 14th Atlantic Coast D III Womens Conferences 2024
74 Davidson Win 6-5 24.51 239 6.15% Counts Apr 14th Atlantic Coast D III Womens Conferences 2024
**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.