(4) #60 Oregon (6-13)

1346.76 (58)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
133 Oregon State Win 15-6 6.37 79 6.44% Counts (Why) Jan 25th Pacific Confrontational Invite 2020
176 Portland State** Win 15-4 0 55 0% Ignored (Why) Jan 25th Pacific Confrontational Invite 2020
44 Whitman Win 13-12 20.98 12 6.44% Counts Jan 25th Pacific Confrontational Invite 2020
44 Whitman Loss 5-11 -26.37 12 5.91% Counts (Why) Jan 26th Pacific Confrontational Invite 2020
133 Oregon State Win 11-5 5.81 79 5.91% Counts (Why) Jan 26th Pacific Confrontational Invite 2020
35 Utah Loss 5-13 -30.41 7 7.55% Counts (Why) Feb 15th Presidents Day Invite 2020
61 Massachusetts Loss 9-10 -11.58 27 7.55% Counts Feb 15th Presidents Day Invite 2020
39 Cal Poly-SLO Loss 7-8 6.13 32 6.71% Counts Feb 15th Presidents Day Invite 2020
10 California-Santa Barbara** Loss 4-14 0 62 0% Ignored (Why) Feb 15th Presidents Day Invite 2020
45 Chicago Loss 5-10 -29 26 6.71% Counts Feb 16th Presidents Day Invite 2020
19 Colorado Loss 3-12 -0.84 22 7.25% Counts (Why) Feb 16th Presidents Day Invite 2020
90 Southern California Win 9-6 14.13 25 6.71% Counts Feb 17th Presidents Day Invite 2020
40 Colorado College Loss 9-10 6.69 5 7.55% Counts Feb 17th Presidents Day Invite 2020
3 Tufts** Loss 4-13 0 286 0% Ignored (Why) Mar 7th Stanford Invite 2020
17 British Columbia** Loss 3-13 0 0% Ignored (Why) Mar 7th Stanford Invite 2020
29 California Win 9-8 41.98 18 8.38% Counts Mar 7th Stanford Invite 2020
10 California-Santa Barbara Loss 6-11 13.58 62 8.38% Counts Mar 7th Stanford Invite 2020
13 Pittsburgh** Loss 5-13 0 53 0% Ignored (Why) Mar 8th Stanford Invite 2020
26 Texas Loss 5-12 -17.05 65 8.51% Counts (Why) Mar 8th Stanford Invite 2020
**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.