(2) #38 Southern California (11-11)

1633.89 (23)

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# Opponent Result Effect % of Ranking Status Date Event
74 Washington University Win 13-7 13.19 3.71% Jan 27th Santa Barbara Invitational 2018
53 UCLA Win 13-8 15.29 3.71% Jan 27th Santa Barbara Invitational 2018
15 Stanford Loss 12-13 4.89 3.71% Jan 27th Santa Barbara Invitational 2018
25 Victoria Win 15-14 8.59 3.71% Jan 27th Santa Barbara Invitational 2018
143 California-San Diego Win 13-8 0.89 3.71% Jan 28th Santa Barbara Invitational 2018
5 Washington Loss 10-13 3.45 3.71% Jan 28th Santa Barbara Invitational 2018
20 Cal Poly-SLO Loss 9-13 -8.07 3.71% Jan 28th Santa Barbara Invitational 2018
67 Utah Win 13-10 5.87 3.71% Jan 28th Santa Barbara Invitational 2018
211 Utah State Win 13-7 -7.78 4.41% Feb 17th Presidents Day Invitational Tournament 2018
32 California Win 12-11 8.63 4.41% Feb 17th Presidents Day Invitational Tournament 2018
24 Western Washington Win 13-12 10.77 4.41% Feb 17th Presidents Day Invitational Tournament 2018
55 Oregon State Loss 9-12 -21.29 4.41% Feb 18th Presidents Day Invitational Tournament 2018
65 California-Santa Barbara Win 13-9 11.41 4.41% Feb 18th Presidents Day Invitational Tournament 2018
19 Colorado Loss 7-11 -11.22 4.3% Feb 18th Presidents Day Invitational Tournament 2018
5 Washington Win 11-6 42.01 4.18% Feb 19th Presidents Day Invitational Tournament 2018
24 Western Washington Loss 9-10 -0.78 4.41% Feb 19th Presidents Day Invitational Tournament 2018
17 Colorado State Loss 9-13 -11.44 5.89% Mar 24th NW Challenge 2018
18 Brigham Young Loss 7-13 -21.16 5.89% Mar 24th NW Challenge 2018
63 Tulane Loss 9-10 -18.48 5.89% Mar 24th NW Challenge 2018
43 British Columbia Loss 10-13 -23 5.89% Mar 24th NW Challenge 2018
55 Oregon State Win 14-11 12.37 5.89% Mar 25th NW Challenge 2018
32 California Loss 11-14 -15.74 5.89% Mar 25th NW Challenge 2018
**Blowout Eligible

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.