() #188 Mary Washington (9-11)

829 (1)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
151 Liberty Win 7-6 9.77 1 3.54% Counts Feb 19th Commonwealth Cup Weekend 1
316 Virginia-B Win 10-5 0.91 1 3.8% Counts (Why) Feb 19th Commonwealth Cup Weekend 1
95 Pennsylvania Win 7-6 18.48 69 3.54% Counts Feb 19th Commonwealth Cup Weekend 1
182 West Virginia Win 13-12 7.26 62 4.28% Counts Feb 20th Commonwealth Cup Weekend 1
143 SUNY-Binghamton Loss 3-11 -17.74 47 3.93% Counts (Why) Feb 20th Commonwealth Cup Weekend 1
158 MIT Win 8-7 11.98 29 4.79% Counts Mar 19th Oak Creek Invite
57 Carnegie Mellon** Loss 3-13 0 47 0% Ignored (Why) Mar 19th Oak Creek Invite
233 Shippensburg Loss 9-10 -15.81 61 5.39% Counts Mar 19th Oak Creek Invite
362 American-B** Win 15-3 0 103 0% Ignored (Why) Mar 20th Oak Creek Invite
158 MIT Loss 7-10 -14.86 29 5.1% Counts Mar 20th Oak Creek Invite
85 Richmond Loss 10-15 -2.4 27 6.41% Counts Apr 9th Northern Atlantic Coast D III College Mens CC 2022
- St Mary's (Maryland)** Win 15-3 0 1 0% Ignored (Why) Apr 9th Northern Atlantic Coast D III College Mens CC 2022
- Shenandoah University Win 15-8 0 1 6.41% Counts (Why) Apr 9th Northern Atlantic Coast D III College Mens CC 2022
85 Richmond Loss 7-11 -3.22 27 6.24% Counts Apr 10th Northern Atlantic Coast D III College Mens CC 2022
109 Christopher Newport Loss 9-14 -11.18 52 6.41% Counts Apr 10th Northern Atlantic Coast D III College Mens CC 2022
85 Richmond Loss 8-15 -12.85 27 8.08% Counts May 7th Atlantic Coast D III College Mens Regionals 2022
109 Christopher Newport Loss 12-14 7.88 52 8.08% Counts May 7th Atlantic Coast D III College Mens Regionals 2022
186 Davidson Win 15-12 27.9 42 8.08% Counts May 7th Atlantic Coast D III College Mens Regionals 2022
85 Richmond Loss 8-14 -10.32 27 8.08% Counts May 8th Atlantic Coast D III College Mens Regionals 2022
109 Christopher Newport Loss 8-10 4.09 52 7.86% Counts May 8th Atlantic Coast D III College Mens Regionals 2022
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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.