(3) #47 Colorado State (7-13)

1647.22 (10)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
73 California-Santa Barbara Win 11-10 -1.44 11 4.49% Counts Feb 18th President’s Day Invite
7 Cal Poly-SLO Loss 9-12 8.6 14 4.49% Counts Feb 18th President’s Day Invite
17 Washington Loss 6-13 -12.09 38 4.49% Counts (Why) Feb 18th President’s Day Invite
58 California-San Diego Win 12-11 2.78 2 4.49% Counts Feb 19th President’s Day Invite
42 Grand Canyon Loss 7-9 -9.51 4 4.12% Counts Feb 19th President’s Day Invite
15 UCLA Loss 5-14 -10.3 3 4.49% Counts (Why) Feb 19th President’s Day Invite
61 Emory Loss 10-12 -14.51 47 4.49% Counts Feb 20th President’s Day Invite
29 Utah State Loss 8-10 -3.27 21 4.37% Counts Feb 20th President’s Day Invite
16 British Columbia Loss 9-13 -3.89 14 5.04% Counts Mar 4th Stanford Invite Mens
17 Washington Win 13-12 24.85 38 5.04% Counts Mar 4th Stanford Invite Mens
57 Stanford Win 10-8 10.2 8 4.91% Counts Mar 4th Stanford Invite Mens
18 California Loss 9-13 -5.53 37 5.04% Counts Mar 5th Stanford Invite Mens
23 Wisconsin Loss 7-12 -14.51 11 5.04% Counts Mar 5th Stanford Invite Mens
40 Colorado College Loss 8-10 -10.18 20 5.51% Counts Mar 18th Centex 2023
112 Illinois Win 13-6 16.12 10 5.66% Counts (Why) Mar 18th Centex 2023
23 Wisconsin Loss 11-12 7.34 11 5.66% Counts Mar 18th Centex 2023
39 Florida Loss 10-12 -8.64 16 5.66% Counts Mar 18th Centex 2023
91 Tulane Win 12-9 7.7 16 5.66% Counts Mar 19th Centex 2023
54 Northwestern Loss 13-15 -14.71 16 5.66% Counts Mar 19th Centex 2023
51 Virginia Win 14-8 31.46 1 5.66% Counts (Why) Mar 19th Centex 2023
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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.