(1) #9 North Carolina (13-5) AC 1

2522.64 (23)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
38 Duke Win 15-8 -4.93 74 6.85% Counts (Why) Jan 25th Carolina Kickoff 2025
99 Emory** Win 15-0 0 269 0% Ignored (Why) Jan 25th Carolina Kickoff 2025
242 Emory-B** Win 15-0 0 570 0% Ignored (Why) Jan 25th Carolina Kickoff 2025
150 North Carolina-B** Win 15-1 0 3 0% Ignored (Why) Jan 25th Carolina Kickoff 2025
55 Appalachian State** Win 15-5 0 225 0% Ignored (Why) Jan 26th Carolina Kickoff 2025
62 North Carolina State** Win 15-0 0 81 0% Ignored (Why) Jan 26th Carolina Kickoff 2025
108 Alabama-Huntsville** Win 13-1 0 70 0% Ignored (Why) Feb 15th Queen City Tune Up 2025
82 Case Western Reserve** Win 13-1 0 17 0% Ignored (Why) Feb 15th Queen City Tune Up 2025
24 Minnesota Win 13-4 18.77 210 8.15% Counts (Why) Feb 15th Queen City Tune Up 2025
6 Vermont Win 8-3 50.65 33 6.34% Counts (Why) Feb 16th Queen City Tune Up 2025
3 Tufts Loss 6-11 -19.14 56 7.71% Counts Feb 16th Queen City Tune Up 2025
18 Brigham Young Win 12-9 14.16 6 10.87% Counts Mar 22nd Northwest Challenge 2025
4 Colorado Loss 11-12 12.44 0 10.87% Counts Mar 22nd Northwest Challenge 2025
15 Victoria Win 9-7 14.17 4 9.98% Counts Mar 22nd Northwest Challenge 2025
10 California-San Diego Win 9-7 28.01 2 9.98% Counts Mar 23rd Northwest Challenge 2025
5 Oregon Loss 7-10 -19.26 5 10.29% Counts Mar 23rd Northwest Challenge 2025
6 Vermont Loss 5-8 -30.15 33 8.99% Counts Mar 23rd Northwest Challenge 2025
8 Washington Loss 4-11 -65.95 6 9.98% Counts (Why) Mar 23rd Northwest Challenge 2025
**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.