(1) #280 Southern California-B (10-9)

445.42 (20)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
167 Loyola Marymount Loss 7-10 3.03 15 4.7% Counts Feb 5th Stanford Open 2022
176 California State University, Chico Loss 5-9 -5.77 16 4.26% Counts Feb 5th Stanford Open 2022
39 Western Washington** Loss 2-13 0 31 0% Ignored (Why) Feb 5th Stanford Open 2022
321 San Jose State Win 11-5 17.65 18 4.56% Counts (Why) Feb 6th Stanford Open 2022
186 Occidental Loss 6-11 -8.99 55 4.7% Counts Feb 6th Stanford Open 2022
113 California-Davis** Loss 2-13 0 14 0% Ignored (Why) Feb 6th Stanford Open 2022
288 California-San Diego-B Win 9-7 12.79 19 5.42% Counts Feb 26th Magic Mountain Melee
347 California-Santa Barbara-B Win 13-4 11.9 19 5.9% Counts (Why) Feb 26th Magic Mountain Melee
377 California-San Diego-C** Win 13-3 0 19 0% Ignored (Why) Feb 26th Magic Mountain Melee
371 Arizona State-B** Win 13-1 0 19 0% Ignored (Why) Feb 26th Magic Mountain Melee
333 UCLA-B Win 13-2 17.69 19 5.9% Counts (Why) Feb 27th Magic Mountain Melee
244 California-Irvine Loss 10-13 -9.5 16 5.9% Counts Feb 27th Magic Mountain Melee
288 California-San Diego-B Win 11-9 18.75 19 8.85% Counts Apr 16th Southwest Dev College Mens CC 2022
241 Cal Poly-SLO-B Loss 9-10 6.06 18 8.85% Counts Apr 16th Southwest Dev College Mens CC 2022
258 California-B Loss 5-11 -44.46 19 8.12% Counts (Why) Apr 16th Southwest Dev College Mens CC 2022
347 California-Santa Barbara-B Win 11-5 16.75 19 8.12% Counts (Why) Apr 16th Southwest Dev College Mens CC 2022
333 UCLA-B Win 13-7 23.24 19 8.85% Counts (Why) Apr 17th Southwest Dev College Mens CC 2022
333 UCLA-B Loss 10-12 -53.98 19 8.85% Counts Apr 17th Southwest Dev College Mens CC 2022
347 California-Santa Barbara-B Win 7-5 -6.22 19 7.03% Counts Apr 17th Southwest Dev College Mens CC 2022
**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.