(38) #175 California-Santa Cruz-B (15-7)

1180.4 (86)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
119 Cal Poly-SLO-B Loss 8-10 -2.76 77 3.51% Counts Feb 1st Pres Day Quals men
136 California-Irvine Loss 8-13 -13.32 123 3.6% Counts Feb 1st Pres Day Quals men
376 San Diego State-B** Win 13-2 0 43 0% Ignored (Why) Feb 1st Pres Day Quals men
216 Cal Poly-Pomona Win 12-4 15.58 160 3.46% Counts (Why) Feb 2nd Pres Day Quals men
374 Cal Poly-SLO-C Win 13-6 -10.91 206 3.6% Counts (Why) Feb 2nd Pres Day Quals men
211 UCLA-B Win 12-4 16.92 260 3.66% Counts (Why) Feb 8th Stanford Open Mens
237 Loyola Marymount Win 12-10 -0.67 276 3.82% Counts Feb 8th Stanford Open Mens
200 Cal Poly-Humboldt Loss 8-9 -9.01 128 3.61% Counts Feb 9th Stanford Open Mens
124 San Jose State Loss 9-10 2.12 152 3.82% Counts Feb 9th Stanford Open Mens
250 Portland Win 12-8 5.73 218 3.82% Counts Feb 9th Stanford Open Mens
200 Cal Poly-Humboldt Win 11-8 13.42 128 5.09% Counts Mar 15th Silicon Valley Rally 2025
279 California-B Win 10-5 8.1 218 4.53% Counts (Why) Mar 15th Silicon Valley Rally 2025
276 Chico State Win 13-3 10.94 237 5.09% Counts (Why) Mar 15th Silicon Valley Rally 2025
124 San Jose State Loss 8-9 2.71 152 4.82% Counts Mar 15th Silicon Valley Rally 2025
279 California-B Win 10-5 8.1 218 4.53% Counts (Why) Mar 16th Silicon Valley Rally 2025
124 San Jose State Win 8-7 14.39 152 4.53% Counts Mar 16th Silicon Valley Rally 2025
316 Arizona State-B Win 13-6 2.59 745 6.42% Counts (Why) Apr 12th Southwest Dev Mens Conferences 2025
350 California-San Diego-B Win 13-8 -17.01 253 6.42% Counts Apr 12th Southwest Dev Mens Conferences 2025
285 Southern California-B Win 13-3 11.87 197 6.42% Counts (Why) Apr 12th Southwest Dev Mens Conferences 2025
211 UCLA-B Win 11-8 14.44 260 6.42% Counts Apr 12th Southwest Dev Mens Conferences 2025
119 Cal Poly-SLO-B Loss 9-15 -22.55 77 6.42% Counts Apr 13th Southwest Dev Mens Conferences 2025
211 UCLA-B Loss 7-15 -51.8 260 6.42% Counts (Why) Apr 13th Southwest Dev Mens Conferences 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.