() #11 Oregon (13-8) NW 4

2096.82 (141)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
8 Stanford Loss 8-9 0.51 141 4.28% Counts Feb 18th President’s Day Invite
24 Carleton College-Eclipse Win 12-7 7.41 141 4.52% Counts (Why) Feb 18th President’s Day Invite
18 Colorado State Win 10-8 -1.04 143 4.4% Counts Feb 18th President’s Day Invite
29 UCLA Win 14-7 7.14 141 4.52% Counts (Why) Feb 18th President’s Day Invite
24 Carleton College-Eclipse Win 10-5 8.79 141 4.02% Counts (Why) Feb 19th President’s Day Invite
31 California Win 14-5 7.63 142 4.52% Counts (Why) Feb 19th President’s Day Invite
17 California-San Diego Win 13-9 6.93 141 4.52% Counts Feb 19th President’s Day Invite
29 UCLA Win 10-7 -1.9 141 4.28% Counts Feb 19th President’s Day Invite
3 Colorado Loss 10-12 6.29 141 4.52% Counts Feb 20th President’s Day Invite
12 California-Santa Barbara Win 12-11 4.1 141 4.52% Counts Feb 20th President’s Day Invite
39 Santa Clara Win 12-2 2.31 141 5.16% Counts (Why) Mar 11th Stanford Invite Womens
3 Colorado Loss 7-10 -1 141 5.09% Counts Mar 11th Stanford Invite Womens
17 California-San Diego Win 13-8 12.72 141 5.38% Counts Mar 11th Stanford Invite Womens
29 UCLA Win 12-8 0.51 141 5.38% Counts Mar 11th Stanford Invite Womens
2 British Columbia Loss 3-13 -8.44 141 5.38% Counts (Why) Mar 12th Stanford Invite Womens
31 California Win 11-8 -4.16 142 5.38% Counts Mar 12th Stanford Invite Womens
1 North Carolina** Loss 3-13 0 141 0% Ignored (Why) Mar 12th Stanford Invite Womens
20 Western Washington Win 12-8 8.01 141 6.04% Counts Mar 25th Northwest Challenge1
5 Vermont Loss 5-13 -20.78 142 6.04% Counts (Why) Mar 25th Northwest Challenge1
2 British Columbia Loss 4-13 -9.54 141 6.04% Counts (Why) Mar 26th Northwest Challenge1
9 Washington Loss 8-13 -26.3 141 6.04% Counts Mar 26th Northwest Challenge1
**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.