(8) #151 Cal Poly-SLO-B (9-10)

1033.94 (45)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
323 California-Santa Cruz-B** Win 13-0 0 43 0% Ignored (Why) Jan 20th Pres Day Quals
285 Southern California-B** Win 13-2 0 83 0% Ignored (Why) Jan 20th Pres Day Quals
134 California-Irvine Win 12-8 40.74 43 7.31% Counts Jan 20th Pres Day Quals
212 San Diego State Win 13-1 26.59 2 7.31% Counts (Why) Jan 21st Pres Day Quals
160 Santa Clara Win 9-8 6.25 33 6.92% Counts Jan 21st Pres Day Quals
53 Colorado State Loss 7-15 -13.72 118 7.75% Counts (Why) Jan 27th Santa Barbara Invite 2024
30 Utah** Loss 3-15 0 31 0% Ignored (Why) Jan 27th Santa Barbara Invite 2024
54 California-Santa Barbara Loss 6-15 -13.8 55 7.75% Counts (Why) Jan 27th Santa Barbara Invite 2024
15 California** Loss 4-15 0 35 0% Ignored (Why) Jan 27th Santa Barbara Invite 2024
65 Stanford Loss 7-15 -19.24 80 7.75% Counts (Why) Jan 28th Santa Barbara Invite 2024
79 Grand Canyon Loss 10-15 -12.33 111 7.75% Counts Jan 28th Santa Barbara Invite 2024
349 Cal Poly-Humboldt** Win 13-4 0 14 0% Ignored (Why) Feb 3rd Stanford Open 2024
202 California-B Win 11-9 3.74 9 8.21% Counts Feb 3rd Stanford Open 2024
297 Occidental** Win 13-2 0 15 0% Ignored (Why) Feb 3rd Stanford Open 2024
19 Washington University** Loss 5-12 0 112 0% Ignored (Why) Mar 2nd Stanford Invite 2024
65 Stanford Loss 4-8 -17.36 80 8.22% Counts Mar 2nd Stanford Invite 2024
63 Western Washington Loss 6-13 -24.42 46 10.34% Counts (Why) Mar 2nd Stanford Invite 2024
160 Santa Clara Win 13-10 33.14 33 10.34% Counts Mar 3rd Stanford Invite 2024
115 Southern California Loss 10-12 -10.07 59 10.34% Counts Mar 3rd Stanford Invite 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.