(7) #148 Arizona (6-12)

862.81 (201)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
106 Arizona State Loss 8-13 -10 200 7.03% Counts Jan 25th New Year Fest 2025
159 Colorado-B Win 8-6 14.73 203 6.03% Counts Jan 25th New Year Fest 2025
86 Grand Canyon Loss 5-10 -5.67 217 6.25% Counts Jan 25th New Year Fest 2025
89 Denver Loss 8-11 8.35 198 7.03% Counts Jan 25th New Year Fest 2025
201 Arizona-B Win 11-5 6.43 202 6.45% Counts (Why) Jan 26th New Year Fest 2025
106 Arizona State Loss 5-8 -5.54 200 5.82% Counts Jan 26th New Year Fest 2025
182 Cal State-Long Beach Win 8-4 17.78 218 5.92% Counts (Why) Feb 1st Presidents Day Qualifiers 2025
101 California-San Diego-B Loss 7-8 19.71 219 6.62% Counts Feb 1st Presidents Day Qualifiers 2025
153 UCLA-B Win 7-4 28.28 219 5.67% Counts (Why) Feb 1st Presidents Day Qualifiers 2025
23 UCLA** Loss 2-12 0 61 0% Ignored (Why) Feb 1st Presidents Day Qualifiers 2025
39 California** Loss 3-11 0 106 0% Ignored (Why) Feb 2nd Presidents Day Qualifiers 2025
101 California-San Diego-B Loss 4-9 -12.93 219 6.16% Counts (Why) Feb 2nd Presidents Day Qualifiers 2025
225 Colorado College-B** Win 15-6 0 0% Ignored (Why) Mar 1st Snow Melt 2025
62 Colorado College** Loss 5-15 0 270 0% Ignored (Why) Mar 1st Snow Melt 2025
89 Denver Loss 3-15 -12.84 198 9.38% Counts (Why) Mar 1st Snow Melt 2025
162 Colorado Mines Loss 11-13 -31.43 147 9.38% Counts Mar 2nd Snow Melt 2025
159 Colorado-B Win 9-8 5.25 203 8.88% Counts Mar 2nd Snow Melt 2025
106 Arizona State Loss 3-15 -24.45 200 9.38% Counts (Why) Mar 2nd Snow Melt 2025
**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.