(21) #123 East Carolina (11-9)

1073.86 (99)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
212 Auburn Win 9-4 -9.55 135 6.15% Counts (Why) Mar 16th Southerns 2024
194 Georgia College Win 13-3 3.64 15 7.43% Counts (Why) Mar 16th Southerns 2024
218 Georgia-B** Win 12-1 0 109 0% Ignored (Why) Mar 16th Southerns 2024
127 Wisconsin-Eau Claire Win 11-6 38.85 27 7.03% Counts (Why) Mar 16th Southerns 2024
212 Auburn** Win 12-1 0 135 0% Ignored (Why) Mar 17th Southerns 2024
37 Carleton College-Eclipse** Loss 4-15 0 106 0% Ignored (Why) Mar 17th Southerns 2024
127 Wisconsin-Eau Claire Win 10-5 38.25 27 6.6% Counts (Why) Mar 17th Southerns 2024
183 South Carolina-B Win 6-2 7.38 34 5.27% Counts (Why) Mar 23rd Needle in a Ho Stack 2024
89 Virginia Tech Loss 3-6 -17.97 10 5.42% Counts Mar 23rd Needle in a Ho Stack 2024
183 South Carolina-B Win 9-2 9.24 34 6.51% Counts (Why) Mar 24th Needle in a Ho Stack 2024
31 Alabama-Huntsville Loss 6-11 17.02 131 7.45% Counts Mar 24th Needle in a Ho Stack 2024
120 Charleston Loss 6-8 -21.18 165 6.76% Counts Mar 24th Needle in a Ho Stack 2024
162 Emory Win 9-3 23.83 12 6.51% Counts (Why) Mar 24th Needle in a Ho Stack 2024
41 South Carolina** Loss 4-10 0 64 0% Ignored (Why) Apr 13th Carolina D I Womens Conferences 2024
120 Charleston Loss 4-6 -26.04 165 6.79% Counts Apr 13th Carolina D I Womens Conferences 2024
225 North Carolina-Wilmington** Win 12-1 0 49 0% Ignored (Why) Apr 13th Carolina D I Womens Conferences 2024
6 North Carolina** Loss 0-15 0 123 0% Ignored (Why) Apr 13th Carolina D I Womens Conferences 2024
120 Charleston Loss 4-13 -61.12 165 9.36% Counts (Why) Apr 14th Carolina D I Womens Conferences 2024
188 Wake Forest Win 15-2 9.56 8 9.36% Counts (Why) Apr 14th Carolina D I Womens Conferences 2024
56 North Carolina State Loss 4-14 -13.44 385 9.36% 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.