() #6 Vermont (14-4) NE 2

2671.2 (33)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
140 North Carolina-Wilmington** Win 13-1 0 117 0% Ignored (Why) Feb 15th Queen City Tune Up 2025
30 Wisconsin** Win 13-2 0 99 0% Ignored (Why) Feb 15th Queen City Tune Up 2025
49 William & Mary** Win 13-4 0 207 0% Ignored (Why) Feb 15th Queen City Tune Up 2025
2 Carleton College Loss 6-11 -16.12 3 6.85% Counts Feb 16th Queen City Tune Up 2025
9 North Carolina Loss 3-8 -44.66 23 5.63% Counts (Why) Feb 16th Queen City Tune Up 2025
37 American** Win 15-4 0 20 0% Ignored (Why) Feb 22nd 2025 Commonwealth Cup Weekend 2
29 Georgia Tech** Win 14-5 0 170 0% Ignored (Why) Feb 22nd 2025 Commonwealth Cup Weekend 2
21 Ohio State Win 13-6 16.23 145 7.67% Counts (Why) Feb 22nd 2025 Commonwealth Cup Weekend 2
34 Ohio** Win 14-4 0 23 0% Ignored (Why) Feb 23rd 2025 Commonwealth Cup Weekend 2
21 Ohio State Win 14-7 14.81 145 7.67% Counts (Why) Feb 23rd 2025 Commonwealth Cup Weekend 2
20 Virginia Win 15-7 16.42 82 7.67% Counts (Why) Feb 23rd 2025 Commonwealth Cup Weekend 2
1 British Columbia Loss 7-13 -24.21 2 9.66% Counts Mar 22nd Northwest Challenge 2025
10 California-San Diego Win 13-12 -5.37 2 9.66% Counts Mar 22nd Northwest Challenge 2025
41 Southern California Win 13-6 -24.49 10 9.66% Counts (Why) Mar 22nd Northwest Challenge 2025
2 Carleton College Loss 5-12 -27.86 3 9.27% Counts (Why) Mar 23rd Northwest Challenge 2025
7 Michigan Win 11-6 44.66 10 9.14% Counts (Why) Mar 23rd Northwest Challenge 2025
9 North Carolina Win 8-5 26.49 23 7.99% Counts (Why) Mar 23rd Northwest Challenge 2025
15 Victoria Win 11-6 24.81 4 9.14% 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.