() #2 Vermont (19-1) NE 1

2789.63 (50)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
38 South Carolina** Win 15-3 0 16 0% Ignored (Why) Feb 10th Queen City Tune Up 2024
57 William & Mary** Win 15-1 0 8 0% Ignored (Why) Feb 10th Queen City Tune Up 2024
39 Virginia** Win 15-2 0 9 0% Ignored (Why) Feb 10th Queen City Tune Up 2024
29 Wisconsin** Win 15-5 0 98 0% Ignored (Why) Feb 10th Queen City Tune Up 2024
3 Carleton College Loss 11-15 -42.05 17 8.31% Counts Feb 11th Queen City Tune Up 2024
16 Georgia Win 11-5 -2.88 13 7.62% Counts (Why) Feb 11th Queen City Tune Up 2024
7 Tufts Win 15-11 10.12 52 8.31% Counts Feb 11th Queen City Tune Up 2024
24 California-Davis** Win 12-3 0 14 0% Ignored (Why) Mar 2nd Stanford Invite 2024
9 California-Santa Barbara Win 11-8 -0.24 18 9.88% Counts Mar 2nd Stanford Invite 2024
25 Pittsburgh** Win 10-2 0 9 0% Ignored (Why) Mar 2nd Stanford Invite 2024
6 Stanford Win 10-7 16.35 23 9.34% Counts Mar 3rd Stanford Invite 2024
1 British Columbia Win 13-12 25.15 24 9.88% Counts Mar 3rd Stanford Invite 2024
15 California-San Diego Win 10-7 -24.47 18 9.34% Counts Mar 3rd Stanford Invite 2024
58 Cornell** Win 15-3 0 21 0% Ignored (Why) Mar 30th East Coast Invite 2024
35 Ohio** Win 15-4 0 23 0% Ignored (Why) Mar 30th East Coast Invite 2024
17 Pennsylvania Win 15-9 -21.24 5 12.44% Counts Mar 30th East Coast Invite 2024
4 North Carolina Win 15-11 30.41 25 12.44% Counts Mar 30th East Coast Invite 2024
29 Wisconsin** Win 15-5 0 98 0% Ignored (Why) Mar 31st East Coast Invite 2024
20 Northeastern** Win 15-3 0 107 0% Ignored (Why) Mar 31st East Coast Invite 2024
4 North Carolina Win 12-10 10.08 25 12.44% Counts Mar 31st East Coast Invite 2024
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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.