(5) #69 California-San Diego-B (10-8)

1422.37 (41)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
130 Cal Poly-SLO-B Win 9-5 2.29 203 6.58% Counts (Why) Feb 3rd Stanford Open 2024
182 UCLA-B** Win 13-3 0 265 0% Ignored (Why) Feb 3rd Stanford Open 2024
48 Carleton College-Eclipse Loss 6-7 6.52 15 6.34% Counts Feb 3rd Stanford Open 2024
124 Claremont Win 6-5 -20.3 316 5.84% Counts Feb 3rd Stanford Open 2024
30 California Loss 9-10 31.76 19 8.61% Counts Feb 17th Presidents Day Invite 2024
8 Colorado** Loss 5-14 0 23 0% Ignored (Why) Feb 17th Presidents Day Invite 2024
13 Western Washington** Loss 1-15 0 40 0% Ignored (Why) Feb 17th Presidents Day Invite 2024
55 Southern California Loss 8-11 -21.85 12 8.61% Counts Feb 18th Presidents Day Invite 2024
24 California-Davis Loss 6-11 0.18 14 8.14% Counts Feb 18th Presidents Day Invite 2024
32 UCLA Loss 5-9 -7.94 2 7.39% Counts Feb 18th Presidents Day Invite 2024
55 Southern California Loss 8-10 -11.79 12 8.38% Counts Feb 19th Presidents Day Invite 2024
113 Denver Win 9-6 5.05 18 7.65% Counts Feb 19th Presidents Day Invite 2024
141 Cal State-Long Beach Win 9-2 4.44 1076 8.47% Counts (Why) Mar 9th Irvine Open
159 California-Davis-B** Win 7-0 0 336 0% Ignored (Why) Mar 9th Irvine Open
91 Lewis & Clark Win 5-4 -0.96 105 7.05% Counts Mar 9th Irvine Open
138 California-B Win 9-2 6.82 218 8.47% Counts (Why) Mar 10th Irvine Open
78 California-Irvine Win 7-6 6.25 175 8.47% Counts Mar 10th Irvine Open
215 California-San Diego-C** Win 9-1 0 305 0% Ignored (Why) Mar 10th Irvine Open
**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.