(22) #140 North Carolina-Wilmington (8-15)

1013.23 (117)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
32 Georgetown** Loss 4-11 0 78 0% Ignored (Why) Jan 25th Winta Binta Vinta 2025
48 Liberty** Loss 2-11 0 79 0% Ignored (Why) Jan 25th Winta Binta Vinta 2025
20 Virginia** Loss 0-13 0 82 0% Ignored (Why) Jan 25th Winta Binta Vinta 2025
21 Ohio State** Loss 0-13 0 145 0% Ignored (Why) Jan 26th Winta Binta Vinta 2025
77 Penn State Loss 5-9 -2.24 100 4.74% Counts Jan 26th Winta Binta Vinta 2025
245 Virginia-B** Win 13-2 0 0% Ignored (Why) Jan 26th Winta Binta Vinta 2025
49 William & Mary** Loss 2-13 0 207 0% Ignored (Why) Feb 15th Queen City Tune Up 2025
6 Vermont** Loss 1-13 0 33 0% Ignored (Why) Feb 15th Queen City Tune Up 2025
30 Wisconsin** Loss 1-13 0 99 0% Ignored (Why) Feb 15th Queen City Tune Up 2025
55 Appalachian State Loss 6-7 32.2 225 5.43% Counts Feb 16th Queen City Tune Up 2025
123 Northwestern Loss 4-6 -11.81 191 4.76% Counts Feb 16th Queen City Tune Up 2025
176 Charleston Win 9-6 14.22 60 7.34% Counts Mar 15th Southerns 2025
98 Denver Loss 4-8 -17.88 17 6.57% Counts Mar 15th Southerns 2025
233 Florida-B** Win 13-1 0 21 0% Ignored (Why) Mar 15th Southerns 2025
141 Georgia College Win 6-5 8.35 3 6.29% Counts Mar 15th Southerns 2025
141 Georgia College Win 9-7 22.88 3 7.59% Counts Mar 15th Southerns 2025
82 Case Western Reserve Loss 1-13 -17.13 17 9.28% Counts (Why) Mar 29th Needle in a Ho Stack 2025
118 Clemson Loss 6-7 4.67 16 7.67% Counts Mar 29th Needle in a Ho Stack 2025
99 Emory Loss 4-11 -27.11 269 8.51% Counts (Why) Mar 29th Needle in a Ho Stack 2025
212 Georgia-B Win 8-6 -20.4 228 7.96% Counts Mar 29th Needle in a Ho Stack 2025
142 Berry Win 8-7 10.24 205 8.24% Counts Mar 30th Needle in a Ho Stack 2025
114 Cedarville Loss 6-9 -19.84 108 8.24% Counts Mar 30th Needle in a Ho Stack 2025
151 Davidson Win 7-5 22.75 390 7.37% Counts Mar 30th Needle in a Ho Stack 2025
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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.