(1) #28 Duke (13-9)

1682.04 (139)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
1 North Carolina** Loss 2-14 0 141 0% Ignored (Why) Jan 21st Carolina Kickoff womens and nonbinary
95 Temple Win 10-6 -6.75 173 4.13% Counts (Why) Jan 21st Carolina Kickoff womens and nonbinary
30 South Carolina Loss 6-7 -5.65 133 3.72% Counts Jan 22nd Carolina Kickoff womens and nonbinary
64 Appalachian State Win 10-5 6.92 136 4% Counts (Why) Jan 22nd Carolina Kickoff womens and nonbinary
144 North Carolina-B** Win 12-4 0 135 0% Ignored (Why) Jan 22nd Carolina Kickoff womens and nonbinary
87 Southern California Win 10-4 0.21 142 4.95% Counts (Why) Feb 18th President’s Day Invite
17 California-San Diego Loss 7-11 -18.94 141 5.52% Counts Feb 18th President’s Day Invite
12 California-Santa Barbara Loss 5-10 -10.47 141 5.04% Counts Feb 18th President’s Day Invite
48 Texas Loss 7-9 -27.51 139 5.2% Counts Feb 18th President’s Day Invite
8 Stanford Loss 2-12 -2.8 141 5.44% Counts (Why) Feb 19th President’s Day Invite
53 Cal Poly-SLO Win 9-5 11.61 142 4.86% Counts (Why) Feb 19th President’s Day Invite
12 California-Santa Barbara Loss 5-9 -7.81 141 4.86% Counts Feb 19th President’s Day Invite
74 Utah Win 9-4 7 141 4.69% Counts (Why) Feb 19th President’s Day Invite
24 Carleton College-Eclipse Win 10-7 24.95 141 5.36% Counts Feb 20th President’s Day Invite
25 California-Davis Loss 8-11 -19.69 141 5.67% Counts Feb 20th President’s Day Invite
30 South Carolina Win 10-2 40.96 133 6.61% Counts (Why) Mar 25th Rodeo 2023
184 Georgetown-B** Win 13-1 0 138 0% Ignored (Why) Mar 25th Rodeo 2023
71 Massachusetts Win 13-4 12.39 145 7.57% Counts (Why) Mar 25th Rodeo 2023
215 Elon** Win 13-1 0 151 0% Ignored (Why) Mar 25th Rodeo 2023
60 Ohio Win 12-4 17.01 133 7.26% Counts (Why) Mar 26th Rodeo 2023
59 Penn State Win 13-9 3.09 119 7.57% Counts Mar 26th Rodeo 2023
21 North Carolina State Loss 8-11 -23.84 132 7.57% Counts Mar 26th Rodeo 2023
**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.