(13) #219 Cal Poly-Humboldt (2-15)

229.91 (287)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
143 California-B Loss 3-8 -9.08 298 8.66% Counts (Why) Feb 15th Santa Clara University WLT Tournament
68 Santa Clara Loss 6-13 58.9 287 11.13% Counts (Why) Feb 15th Santa Clara University WLT Tournament
178 Nevada-Reno Loss 6-8 3.49 241 9.56% Counts Feb 15th Santa Clara University WLT Tournament
143 California-B Loss 4-8 -5.88 298 8.85% Counts Feb 16th Santa Clara University WLT Tournament
83 California-Irvine** Loss 1-13 0 448 0% Ignored (Why) Feb 16th Santa Clara University WLT Tournament
192 California-Davis-B Loss 4-8 -30.98 332 8.85% Counts Feb 16th Santa Clara University WLT Tournament
52 Oregon State** Loss 2-13 0 251 0% Ignored (Why) Mar 8th PACcon
250 Lewis & Clark -B Win 8-6 5.88 255 11.37% Counts Mar 8th PACcon
18 Western Washington** Loss 1-13 0 284 0% Ignored (Why) Mar 8th PACcon
76 Portland** Loss 3-13 0 403 0% Ignored (Why) Mar 9th PACcon
224 Washington-B Win 9-7 35.99 300 12.15% Counts Mar 9th PACcon
168 Pacific Lutheran Loss 6-9 -3.81 174 11.76% Counts Mar 9th PACcon
8 Stanford** Loss 1-15 0 341 0% Ignored (Why) Apr 12th NorCal D I Womens Conferences 2025
178 Nevada-Reno Loss 3-15 -57.2 241 17.67% Counts (Why) Apr 12th NorCal D I Womens Conferences 2025
23 California-Davis** Loss 0-15 0 426 0% Ignored (Why) Apr 12th NorCal D I Womens Conferences 2025
68 Santa Clara** Loss 3-15 0 287 0% Ignored (Why) Apr 13th NorCal D I Womens Conferences 2025
40 California** Loss 2-15 0 285 0% Ignored (Why) Apr 13th NorCal D I Womens Conferences 2025
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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.