(3) #90 Arizona (8-8)

1226.66 (15)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
226 San Diego State Win 12-4 3.3 42 4.67% Counts (Why) Feb 19th Presidents Day Invite 2022
20 Oregon Loss 5-13 -4.71 54 4.87% Counts (Why) Feb 19th Presidents Day Invite 2022
14 California** Loss 3-13 0 41 0% Ignored (Why) Feb 19th Presidents Day Invite 2022
115 California-Davis Win 9-8 0.91 69 4.6% Counts Feb 19th Presidents Day Invite 2022
41 California-Santa Cruz Loss 8-10 2.37 41 4.74% Counts Feb 20th Presidents Day Invite 2022
62 California-San Diego Loss 10-13 -7.39 76 4.87% Counts Feb 20th Presidents Day Invite 2022
115 California-Davis Loss 8-9 -11.15 69 4.6% Counts Feb 21st Presidents Day Invite 2022
152 Arizona State Win 9-7 0.85 38 4.46% Counts Feb 21st Presidents Day Invite 2022
- New Mexico Win 10-5 -13.88 18 7.27% Counts (Why) Apr 24th Desert D I College Mens CC 2022
166 Northern Arizona Win 12-4 23.88 1 7.85% Counts (Why) Apr 24th Desert D I College Mens CC 2022
152 Arizona State Win 10-2 26.09 38 7.15% Counts (Why) Apr 24th Desert D I College Mens CC 2022
58 Grand Canyon Loss 6-13 -34.77 12 8.18% Counts (Why) Apr 24th Desert D I College Mens CC 2022
41 California-Santa Cruz Loss 9-13 -10.95 41 9.18% Counts May 7th Southwest D I College Mens Regionals 2022
84 Santa Clara Loss 9-13 -39.24 4 9.18% Counts May 7th Southwest D I College Mens Regionals 2022
113 Cal State-Long Beach Win 11-9 14.7 13 9.18% Counts May 7th Southwest D I College Mens Regionals 2022
75 Southern California Win 13-9 50.49 111 9.18% Counts May 8th Southwest D I College Mens Regionals 2022
**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.