(1) #151 North Carolina-B (8-10)

867.95 (75)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
103 Clemson Win 8-5 51.76 477 6.18% Counts (Why) Jan 20th Carolina Kickoff Womens 2024
62 Duke** Loss 2-15 0 216 0% Ignored (Why) Jan 20th Carolina Kickoff Womens 2024
56 North Carolina State** Loss 0-14 0 385 0% Ignored (Why) Jan 20th Carolina Kickoff Womens 2024
62 Duke** Loss 4-13 0 216 0% Ignored (Why) Jan 21st Carolina Kickoff Womens 2024
6 North Carolina** Loss 2-13 0 123 0% Ignored (Why) Jan 21st Carolina Kickoff Womens 2024
56 North Carolina State** Loss 1-15 0 385 0% Ignored (Why) Jan 21st Carolina Kickoff Womens 2024
145 Dartmouth Loss 7-9 -31.45 42 11.54% Counts Mar 23rd Rodeo 2024
62 Duke Loss 4-6 25.14 216 9.12% Counts Mar 23rd Rodeo 2024
138 Liberty Win 8-5 61.79 32 10.4% Counts (Why) Mar 23rd Rodeo 2024
86 Williams Loss 3-10 -16.55 10 10.98% Counts (Why) Mar 23rd Rodeo 2024
145 Dartmouth Loss 6-11 -68.63 42 11.89% Counts Mar 24th Rodeo 2024
62 Duke** Loss 3-12 0 216 0% Ignored (Why) Mar 24th Rodeo 2024
240 American-B** Win 9-2 0 385 0% Ignored (Why) Apr 13th Atlantic Coast Dev Womens Conferences 2024
217 Georgetown-B Win 7-5 -33.32 183 11.88% Counts Apr 13th Atlantic Coast Dev Womens Conferences 2024
219 William & Mary-B Win 10-3 2.26 395 13.06% Counts (Why) Apr 13th Atlantic Coast Dev Womens Conferences 2024
240 American-B** Win 9-0 0 385 0% Ignored (Why) Apr 14th Atlantic Coast Dev Womens Conferences 2024
217 Georgetown-B Win 13-2 4.35 183 14.95% Counts (Why) Apr 14th Atlantic Coast Dev Womens Conferences 2024
229 Virginia-B** Win 10-3 0 302 0% Ignored (Why) Apr 14th Atlantic Coast Dev 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.