(6) #88 Georgetown (7-12)

1308.67 (78)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
45 Elon Loss 10-13 -1.5 22 4.51% Counts Feb 1st Carolina Kickoff mens 2025
21 Georgia Tech Loss 7-12 1.21 27 4.51% Counts Feb 1st Carolina Kickoff mens 2025
32 Virginia Loss 12-13 11.63 9 4.51% Counts Feb 1st Carolina Kickoff mens 2025
96 Appalachian State Win 13-11 9.19 68 4.51% Counts Feb 2nd Carolina Kickoff mens 2025
97 Duke Loss 11-13 -12.48 42 4.51% Counts Feb 2nd Carolina Kickoff mens 2025
45 Elon Loss 11-14 -0.8 22 4.51% Counts Feb 2nd Carolina Kickoff mens 2025
44 Emory Loss 6-13 -17.04 42 5.37% Counts (Why) Feb 22nd Easterns Qualifier 2025
87 Temple Loss 10-13 -18.48 179 5.37% Counts Feb 22nd Easterns Qualifier 2025
37 North Carolina-Wilmington Loss 9-13 -5.23 84 5.37% Counts Feb 22nd Easterns Qualifier 2025
102 Syracuse Win 11-4 28.57 140 4.92% Counts (Why) Feb 22nd Easterns Qualifier 2025
66 Dartmouth Loss 7-15 -25.88 18 5.37% Counts (Why) Feb 23rd Easterns Qualifier 2025
84 Ohio State Win 15-12 17.66 51 5.37% Counts Feb 23rd Easterns Qualifier 2025
49 North Carolina State Loss 10-14 -8.08 21 5.37% Counts Feb 23rd Easterns Qualifier 2025
52 William & Mary Loss 9-10 9.09 101 7.16% Counts Mar 29th East Coast Invite 2025
236 NYU** Win 15-3 0 339 0% Ignored (Why) Mar 29th East Coast Invite 2025
179 Pennsylvania Win 13-5 15.68 1 7.16% Counts (Why) Mar 29th East Coast Invite 2025
192 Princeton Win 13-6 11.24 216 7.16% Counts (Why) Mar 29th East Coast Invite 2025
98 Boston College Loss 8-15 -46.43 296 7.16% Counts Mar 30th East Coast Invite 2025
131 Pittsburgh-B Win 15-7 31.83 64 7.16% Counts (Why) Mar 30th East Coast Invite 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.