(21) #188 Wake Forest (5-12)

566.45 (8)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
38 American** Loss 0-13 0 139 0% Ignored (Why) Feb 17th Commonwealth Cup Weekend 1 2024
190 Michigan-B Loss 3-4 -9.26 7 6.28% Counts Feb 17th Commonwealth Cup Weekend 1 2024
163 Catholic Loss 4-10 -35.13 36 9.03% Counts (Why) Feb 18th Commonwealth Cup Weekend 1 2024
204 Elon Win 8-7 -3.46 60 9.19% Counts Feb 18th Commonwealth Cup Weekend 1 2024
229 Virginia-B Win 9-2 18.06 302 8.55% Counts (Why) Feb 18th Commonwealth Cup Weekend 1 2024
35 St Olaf** Loss 0-13 0 143 0% Ignored (Why) Mar 23rd Needle in a Ho Stack 2024
162 Emory Win 10-1 116.48 12 12.06% Counts (Why) Mar 23rd Needle in a Ho Stack 2024
183 South Carolina-B Loss 3-7 -62.3 34 10.01% Counts (Why) Mar 24th Needle in a Ho Stack 2024
162 Emory Loss 2-10 -48.04 12 12.06% Counts (Why) Mar 24th Needle in a Ho Stack 2024
249 Emory-B Win 11-3 0 32 0% Ignored (Why) Mar 24th Needle in a Ho Stack 2024
50 Georgetown** Loss 1-13 0 82 0% Ignored (Why) Mar 24th Needle in a Ho Stack 2024
104 Appalachian State** Loss 1-15 0 24 0% Ignored (Why) Apr 13th Carolina D I Womens Conferences 2024
103 Clemson** Loss 0-15 0 477 0% Ignored (Why) Apr 13th Carolina D I Womens Conferences 2024
62 Duke** Loss 1-13 0 216 0% Ignored (Why) Apr 13th Carolina D I Womens Conferences 2024
56 North Carolina State** Loss 5-14 0 385 0% Ignored (Why) Apr 13th Carolina D I Womens Conferences 2024
123 East Carolina Loss 2-15 -18.18 99 16.41% Counts (Why) Apr 14th Carolina D I Womens Conferences 2024
225 North Carolina-Wilmington Win 14-7 45.87 49 16.41% Counts (Why) Apr 14th Carolina D I 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.