(1) #19 UCLA (14-13)

1965.86 (14)

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# Opponent Result Effect % of Ranking Status Date Event
21 Cal Poly-SLO Loss 12-14 -7.91 3.15% Jan 26th Santa Barbara Invite 2019
37 Washington University Win 13-7 8.53 3.15% Jan 26th Santa Barbara Invite 2019
13 Stanford Loss 11-13 -4.52 3.15% Jan 26th Santa Barbara Invite 2019
42 Chicago Win 13-10 -2.38 3.15% Jan 26th Santa Barbara Invite 2019
21 Cal Poly-SLO Loss 14-15 -4.79 3.15% Jan 27th Santa Barbara Invite 2019
24 Washington Loss 10-12 -10.77 3.15% Jan 27th Santa Barbara Invite 2019
13 Stanford Win 12-11 6.98 3.15% Jan 27th Santa Barbara Invite 2019
9 Texas Loss 4-7 -9.33 2.85% Feb 16th Presidents Day Invite 2019
10 Northeastern Loss 5-8 -9.96 3.1% Feb 16th Presidents Day Invite 2019
29 Northwestern Win 9-3 12.84 3.1% Feb 17th Presidents Day Invite 2019
30 Utah Win 8-6 3.11 3.21% Feb 17th Presidents Day Invite 2019
23 California Win 8-5 12.97 3.1% Feb 18th Presidents Day Invite 2019
86 San Diego State** Win 12-5 0 0% Ignored Feb 18th Presidents Day Invite 2019
16 Oregon Loss 7-8 -2.84 3.73% Mar 2nd Stanford Invite 2019
50 Whitman Win 13-5 6.28 4.2% Mar 2nd Stanford Invite 2019
24 Washington Win 12-6 20.73 4.09% Mar 2nd Stanford Invite 2019
5 Carleton College-Syzygy Loss 3-11 -12.05 3.86% Mar 2nd Stanford Invite 2019
23 California Win 9-7 9.28 3.86% Mar 3rd Stanford Invite 2019
2 California-San Diego Loss 3-13 -6.44 4.2% Mar 3rd Stanford Invite 2019
4 California-Santa Barbara Win 10-9 19.29 4.2% Mar 3rd Stanford Invite 2019
10 Northeastern Loss 8-9 0.85 4.73% Mar 23rd Womens College Centex 2019
15 Wisconsin Loss 10-11 -3.63 5% Mar 23rd Womens College Centex 2019
42 Chicago Win 10-7 -0.58 4.73% Mar 23rd Womens College Centex 2019
9 Texas Loss 7-13 -19.96 5% Mar 24th Womens College Centex 2019
40 Michigan Win 12-10 -8.33 5% Mar 24th Womens College Centex 2019
12 Minnesota Loss 10-12 -7.06 5% Mar 24th Womens College Centex 2019
15 Wisconsin Win 10-9 9.53 5% Mar 24th Womens College Centex 2019
**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.