() #12 California-Santa Barbara (16-6) SW 2

2058.42 (141)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
6 Brigham Young Loss 9-13 -9.89 141 4.82% Counts Jan 27th Santa Barbara Invitational 2023
53 Cal Poly-SLO Win 12-6 -4.88 142 4.69% Counts (Why) Jan 28th Santa Barbara Invitational 2023
74 Utah** Win 14-4 0 141 0% Ignored (Why) Jan 28th Santa Barbara Invitational 2023
29 UCLA Win 14-4 10.44 141 4.82% Counts (Why) Jan 28th Santa Barbara Invitational 2023
8 Stanford Loss 7-8 2.23 141 4.28% Counts Jan 29th Santa Barbara Invitational 2023
31 California Win 12-7 6.08 142 4.82% Counts (Why) Jan 29th Santa Barbara Invitational 2023
17 California-San Diego Win 10-5 15.22 141 4.28% Counts (Why) Jan 29th Santa Barbara Invitational 2023
87 Southern California Win 10-7 -33.41 142 5.42% Counts Feb 18th President’s Day Invite
17 California-San Diego Win 11-4 20.33 141 5.26% Counts (Why) Feb 18th President’s Day Invite
48 Texas Win 10-7 -11.97 139 5.42% Counts Feb 18th President’s Day Invite
28 Duke Win 10-5 10.6 139 5.09% Counts (Why) Feb 18th President’s Day Invite
87 Southern California** Win 12-2 0 142 0% Ignored (Why) Feb 19th President’s Day Invite
25 California-Davis Win 11-4 14.52 141 5.26% Counts (Why) Feb 19th President’s Day Invite
18 Colorado State Win 11-8 7.22 143 5.73% Counts Feb 19th President’s Day Invite
28 Duke Win 9-5 7.9 139 4.92% Counts (Why) Feb 19th President’s Day Invite
8 Stanford Loss 5-12 -24.75 141 5.5% Counts (Why) Feb 20th President’s Day Invite
11 Oregon Loss 11-12 -5.27 141 5.73% Counts Feb 20th President’s Day Invite
31 California Loss 5-7 -41.74 142 5.42% Counts Mar 11th Stanford Invite Womens
9 Washington Win 11-7 42.08 141 6.64% Counts Mar 11th Stanford Invite Womens
1 North Carolina** Loss 4-10 0 141 0% Ignored (Why) Mar 11th Stanford Invite Womens
17 California-San Diego Win 9-8 -7.5 141 6.45% Counts Mar 12th Stanford Invite Womens
20 Western Washington Win 7-5 2.87 141 5.42% Counts Mar 12th Stanford Invite Womens
**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.