(1) #15 North Carolina State (13-7) AC 2

1736.38 (12)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
151 Carleton College-CHOP** Win 15-5 0 24 0% Ignored (Why) Jan 28th Carolina Kickoff
81 Richmond Win 15-9 2.74 3 4.77% Counts Jan 28th Carolina Kickoff
23 North Carolina-Charlotte Win 14-10 15.19 35 4.77% Counts Jan 28th Carolina Kickoff
17 South Carolina Win 15-11 16.92 30 4.77% Counts Jan 28th Carolina Kickoff
64 Georgetown Win 15-12 -4.6 26 4.77% Counts Jan 29th Carolina Kickoff
2 North Carolina Loss 8-15 -11.99 10 4.77% Counts Jan 29th Carolina Kickoff
23 North Carolina-Charlotte Win 15-10 17.94 35 4.77% Counts Jan 29th Carolina Kickoff
107 Chicago** Win 15-5 0 20 0% Ignored (Why) Feb 11th Queen City Tune Up1
43 Penn State Win 15-5 17.85 27 5.36% Counts (Why) Feb 11th Queen City Tune Up1
25 North Carolina-Wilmington Win 11-9 7.83 26 5.36% Counts Feb 11th Queen City Tune Up1
34 Washington University Win 12-11 -3.96 9 5.36% Counts Feb 11th Queen City Tune Up1
13 Tufts Loss 10-11 -4.17 69 5.36% Counts Feb 12th Queen City Tune Up1
18 Ohio State Win 13-8 24.69 13 5.36% Counts Feb 12th Queen City Tune Up1
1 Massachusetts Loss 6-13 -12.85 5 6.37% Counts (Why) Mar 4th Smoky Mountain Invite
116 Tennessee Win 13-7 -6.86 22 6.37% Counts (Why) Mar 4th Smoky Mountain Invite
4 Texas Loss 8-11 -10.37 34 6.37% Counts Mar 4th Smoky Mountain Invite
14 UCLA Loss 10-11 -6.65 17 6.37% Counts Mar 4th Smoky Mountain Invite
67 Auburn Win 12-9 -4.29 2 6.37% Counts Mar 5th Smoky Mountain Invite
10 Minnesota Loss 12-14 -9.54 1 6.37% Counts Mar 5th Smoky Mountain Invite
26 Northeastern Loss 12-15 -28.96 1 6.37% Counts Mar 5th Smoky Mountain Invite
**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.