(1) #1 North Carolina (18-0) AC 1

2330.39 (44)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
92 Duke** Win 13-3 0 20 0% Ignored (Why) Jan 24th Carolina Kickoff 2020
81 North Carolina-Charlotte** Win 13-4 0 40 0% Ignored (Why) Jan 25th Carolina Kickoff 2020
89 Carleton College-GoP** Win 13-2 0 36 0% Ignored (Why) Jan 25th Carolina Kickoff 2020
71 Kentucky** Win 15-2 0 36 0% Ignored (Why) Jan 26th Carolina Kickoff 2020
26 South Carolina Win 15-8 -1.49 38 6.71% Counts (Why) Jan 26th Carolina Kickoff 2020
21 North Carolina State Win 14-10 -7.97 93 6.71% Counts Jan 26th Carolina Kickoff 2020
50 Purdue Win 13-8 -27.18 188 7.47% Counts Feb 8th Queen City Tune Up 2020 Open
48 Temple** Win 13-2 0 5 0% Ignored (Why) Feb 8th Queen City Tune Up 2020 Open
73 Carnegie Mellon** Win 13-4 0 8 0% Ignored (Why) Feb 8th Queen City Tune Up 2020 Open
7 Ohio State Win 11-8 8.42 233 7.47% Counts Feb 9th Queen City Tune Up 2020 Open
22 Georgia Win 13-7 3.56 92 7.47% Counts (Why) Feb 9th Queen City Tune Up 2020 Open
20 North Carolina-Wilmington Win 11-6 3.95 71 8.74% Counts (Why) Mar 7th Smoky Mountain Invite 2020
35 Northeastern Win 13-8 -20.66 27 9.24% Counts Mar 7th Smoky Mountain Invite 2020
11 Minnesota Win 11-8 2.85 71 9.24% Counts Mar 7th Smoky Mountain Invite 2020
30 Texas Win 15-8 -6.84 31 9.24% Counts (Why) Mar 7th Smoky Mountain Invite 2020
9 Pittsburgh Win 15-9 23.2 76 9.24% Counts Mar 8th Smoky Mountain Invite 2020
7 Ohio State Win 15-12 4 233 9.24% Counts Mar 8th Smoky Mountain Invite 2020
8 Massachusetts Win 15-10 18.68 166 9.24% Counts Mar 8th Smoky Mountain 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.