(1) #24 North Carolina-Charlotte (17-7)

1700.42 (60)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
142 Carleton College-CHOP Win 15-10 -10.28 35 3.9% Counts Jan 28th Carolina Kickoff
75 Richmond Win 15-9 5.16 36 3.9% Counts Jan 28th Carolina Kickoff
15 North Carolina State Loss 10-14 -11.92 69 3.9% Counts Jan 28th Carolina Kickoff
17 South Carolina Loss 10-13 -10.34 81 3.9% Counts Jan 28th Carolina Kickoff
42 Penn State Win 15-12 5.1 74 3.9% Counts Jan 29th Carolina Kickoff
15 North Carolina State Loss 10-15 -14.15 69 3.9% Counts Jan 29th Carolina Kickoff
17 South Carolina Loss 12-13 -2.09 81 3.9% Counts Jan 29th Carolina Kickoff
47 Case Western Reserve Loss 11-13 -21.69 46 4.38% Counts Feb 11th Queen City Tune Up1
73 Purdue Win 12-8 3.45 88 4.38% Counts Feb 11th Queen City Tune Up1
2 North Carolina Loss 11-15 2.6 76 4.38% Counts Feb 11th Queen City Tune Up1
61 Harvard Win 15-11 3.17 193 4.38% Counts Feb 11th Queen City Tune Up1
50 Virginia Win 12-8 8.44 66 4.38% Counts Feb 12th Queen City Tune Up1
35 Washington University Win 13-9 14.99 68 4.38% Counts Feb 12th Queen City Tune Up1
84 Alabama Win 13-9 -0.5 49 4.91% Counts Feb 25th Easterns Qualifier 2023
63 Cincinnati Win 13-7 12.26 82 4.91% Counts (Why) Feb 25th Easterns Qualifier 2023
55 Georgetown Win 13-9 6.68 67 4.91% Counts Feb 25th Easterns Qualifier 2023
39 William & Mary Win 13-8 17.11 56 4.91% Counts Feb 25th Easterns Qualifier 2023
25 North Carolina-Wilmington Win 12-8 22.47 69 4.91% Counts Feb 26th Easterns Qualifier 2023
50 Virginia Win 15-13 -2.2 66 4.91% Counts Feb 26th Easterns Qualifier 2023
17 South Carolina Loss 11-15 -15.9 81 4.91% Counts Feb 26th Easterns Qualifier 2023
104 Kennesaw State Win 15-10 -4.91 212 6.19% Counts Mar 25th Needle in a Ho Stack2
203 North Carolina-B** Win 15-6 0 77 0% Ignored (Why) Mar 25th Needle in a Ho Stack2
238 Georgia College** Win 15-2 0 93 0% Ignored (Why) Mar 25th Needle in a Ho Stack2
133 Davidson Win 11-6 -7.23 346 5.86% Counts (Why) Mar 26th Needle in a Ho Stack2
**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.