(11) #338 Cal Poly-Humboldt (4-17)

563.56 (536)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
66 Western Washington** Loss 5-15 0 251 0% Ignored (Why) Jan 27th Trouble in Corvegas
361 Oregon State-B Win 15-8 22.97 449 4.94% Counts (Why) Jan 27th Trouble in Corvegas
355 Portland State Loss 10-12 -16.14 386 4.94% Counts Jan 27th Trouble in Corvegas
19 Oregon State** Loss 2-15 0 229 0% Ignored (Why) Jan 27th Trouble in Corvegas
160 Washington State Loss 7-15 6.26 330 4.94% Counts (Why) Jan 28th Trouble in Corvegas
361 Oregon State-B Win 12-10 5.99 449 4.94% Counts Jan 28th Trouble in Corvegas
339 Occidental Loss 8-13 -27.7 192 5.24% Counts Feb 3rd Stanford Open 2024
121 Cal Poly-SLO-B** Loss 4-13 0 367 0% Ignored (Why) Feb 3rd Stanford Open 2024
221 California-B Loss 6-11 -3.2 222 4.95% Counts Feb 3rd Stanford Open 2024
124 San Jose State** Loss 4-12 0 266 0% Ignored (Why) Mar 9th Silicon Valley Rally 2024
230 California-Davis Loss 2-13 -11.14 167 6.99% Counts (Why) Mar 9th Silicon Valley Rally 2024
221 California-B Loss 4-13 -8.62 222 6.99% Counts (Why) Mar 9th Silicon Valley Rally 2024
344 Chico State Loss 3-13 -46.85 222 6.99% Counts (Why) Mar 10th Silicon Valley Rally 2024
230 California-Davis Loss 1-13 -11.14 167 6.99% Counts (Why) Mar 10th Silicon Valley Rally 2024
354 California-Santa Cruz-B Loss 4-13 -50.52 252 6.99% Counts (Why) Mar 10th Silicon Valley Rally 2024
33 California-Santa Cruz** Loss 4-15 0 270 0% Ignored (Why) Apr 13th NorCal D I Mens Conferences 2024
344 Chico State Win 15-9 50.64 222 9.33% Counts Apr 13th NorCal D I Mens Conferences 2024
144 Santa Clara Loss 6-13 17.77 343 9.33% Counts (Why) Apr 13th NorCal D I Mens Conferences 2024
124 San Jose State** Loss 2-13 0 266 0% Ignored (Why) Apr 13th NorCal D I Mens Conferences 2024
230 California-Davis Loss 11-12 33.63 167 9.33% Counts Apr 14th NorCal D I Mens Conferences 2024
328 Nevada-Reno Win 7-4 40.85 95 7.1% Counts (Why) Apr 14th NorCal D I Mens 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.