(14) #96 Occidental (14-3)

1088.5 (32)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
100 Cal State-Long Beach Win 8-7 6.77 51 6.26% Counts Feb 1st Presidents’ Day Qualifier Women
148 Arizona State Win 10-8 -6.79 44 6.85% Counts Feb 1st Presidents’ Day Qualifier Women
196 California-B Win 12-6 -15.24 122 6.85% Counts (Why) Feb 1st Presidents’ Day Qualifier Women
204 California-Davis-B** Win 11-1 0 223 0% Ignored (Why) Feb 1st Presidents’ Day Qualifier Women
145 UCLA-B Loss 8-9 -31.91 90 6.66% Counts Feb 2nd Presidents’ Day Qualifier Women
124 California-San Diego-B Win 8-7 -3.64 116 6.26% Counts Feb 2nd Presidents’ Day Qualifier Women
58 California-Santa Cruz Loss 9-11 2.19 91 7.04% Counts Feb 2nd Presidents’ Day Qualifier Women
125 Chico State Loss 8-10 -32.53 129 6.85% Counts Feb 2nd Presidents’ Day Qualifier Women
- San Diego State University-B Win 10-7 21.38 76 8.24% Counts Feb 29th 2nd Annual Claremont Ultimate Classic
124 California-San Diego-B Win 7-5 11.06 116 6.93% Counts Feb 29th 2nd Annual Claremont Ultimate Classic
161 Claremont Win 9-5 2.46 114 7.48% Counts (Why) Feb 29th 2nd Annual Claremont Ultimate Classic
163 Sonoma State Win 7-5 -15.59 12 7.31% Counts Mar 7th Santa Clara Rage Home Tournament 2020
187 Cal Poly SLO-B** Win 12-1 0 374 0% Ignored (Why) Mar 7th Santa Clara Rage Home Tournament 2020
100 Cal State-Long Beach Win 9-7 23.56 51 8.44% Counts Mar 7th Santa Clara Rage Home Tournament 2020
204 California-Davis-B** Win 12-4 0 223 0% Ignored (Why) Mar 7th Santa Clara Rage Home Tournament 2020
100 Cal State-Long Beach Win 8-7 9.02 51 8.17% Counts Mar 8th Santa Clara Rage Home Tournament 2020
124 California-San Diego-B Win 7-2 30.04 116 6.67% Counts (Why) Mar 8th Santa Clara Rage Home Tournament 2020
**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.