(42) #334 California-Santa Barbara-B (8-14)

581.39 (179)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
352 Cal Poly-SLO-C Win 9-8 1.48 239 3.37% Counts Jan 20th Pres Day Quals
230 California-Davis Loss 5-13 -6.12 167 3.56% Counts (Why) Jan 20th Pres Day Quals
396 California-San Diego-C Win 8-7 -11.08 58 3.16% Counts Jan 20th Pres Day Quals
211 San Diego State Loss 8-11 4.91 309 3.56% Counts Jan 20th Pres Day Quals
344 Chico State Win 12-5 30.13 222 5.12% Counts (Why) Mar 9th Silicon Valley Rally 2024
158 UCLA-B** Loss 5-13 0 317 0% Ignored (Why) Mar 9th Silicon Valley Rally 2024
354 California-Santa Cruz-B Win 11-8 15.52 252 5.33% Counts Mar 9th Silicon Valley Rally 2024
221 California-B Loss 7-11 0.03 222 5.19% Counts Mar 10th Silicon Valley Rally 2024
124 San Jose State** Loss 4-13 0 266 0% Ignored (Why) Mar 10th Silicon Valley Rally 2024
158 UCLA-B Loss 9-13 16.28 317 5.33% Counts Mar 10th Silicon Valley Rally 2024
219 Arizona Loss 7-12 -3.34 280 6.34% Counts Mar 30th 2024 Sinvite
133 Arizona State** Loss 3-13 0 183 0% Ignored (Why) Mar 30th 2024 Sinvite
221 California-B Loss 6-9 2.92 222 5.63% Counts Mar 30th 2024 Sinvite
235 Claremont Loss 3-15 -12.6 292 6.34% Counts (Why) Mar 30th 2024 Sinvite
332 California-San Diego-B Win 15-5 41.27 420 6.34% Counts (Why) Mar 31st 2024 Sinvite
298 Southern California-B Loss 10-15 -21.31 293 6.34% Counts Mar 31st 2024 Sinvite
396 California-San Diego-C Win 10-5 7.4 58 6.32% Counts (Why) Apr 13th Southwest Dev Mens Conferences 2024
- Arizona -B Win 14-6 0 0% Ignored (Why) Apr 14th Southwest Dev Mens Conferences 2024
332 California-San Diego-B Loss 3-15 -45.22 420 7.12% Counts (Why) Apr 14th Southwest Dev Mens Conferences 2024
396 California-San Diego-C Win 15-5 10.4 58 7.12% Counts (Why) Apr 14th Southwest Dev Mens Conferences 2024
298 Southern California-B Loss 9-12 -15.83 293 7.12% Counts Apr 14th Southwest Dev Mens Conferences 2024
354 California-Santa Cruz-B Loss 8-9 -15.52 252 6.73% Counts Apr 14th Southwest Dev Mens Conferences 2024
**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.