(3) #32 Georgetown (12-7)

2007.01 (78)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
48 Liberty Win 10-9 -3.88 79 5.84% Counts Jan 25th Winta Binta Vinta 2025
140 North Carolina-Wilmington** Win 11-4 0 117 0% Ignored (Why) Jan 25th Winta Binta Vinta 2025
20 Virginia Loss 6-9 -8.58 82 5.19% Counts Jan 25th Winta Binta Vinta 2025
77 Penn State Win 8-4 2.68 100 4.64% Counts (Why) Jan 26th Winta Binta Vinta 2025
57 James Madison Win 8-5 6.5 128 4.83% Counts (Why) Jan 26th Winta Binta Vinta 2025
20 Virginia Loss 6-9 -8.58 82 5.19% Counts Jan 26th Winta Binta Vinta 2025
70 Connecticut Win 10-6 4.15 104 6.76% Counts (Why) Feb 22nd 2025 Commonwealth Cup Weekend 2
131 Harvard** Win 15-5 0 301 0% Ignored (Why) Feb 22nd 2025 Commonwealth Cup Weekend 2
112 West Chester** Win 14-6 0 93 0% Ignored (Why) Feb 22nd 2025 Commonwealth Cup Weekend 2
58 Brown Win 11-5 18.88 157 6.76% Counts (Why) Feb 23rd 2025 Commonwealth Cup Weekend 2
33 Cornell Loss 9-10 -13 14 7.36% Counts Feb 23rd 2025 Commonwealth Cup Weekend 2
19 Notre Dame Loss 8-9 11.54 315 6.97% Counts Feb 23rd 2025 Commonwealth Cup Weekend 2
23 Pennsylvania Loss 6-11 -31.56 99 9.3% Counts Mar 29th East Coast Invite 2025
28 Georgia Win 10-8 33.56 69 9.57% Counts Mar 29th East Coast Invite 2025
3 Tufts** Loss 5-15 0 56 0% Ignored (Why) Mar 29th East Coast Invite 2025
106 Temple** Win 15-3 0 148 0% Ignored (Why) Mar 29th East Coast Invite 2025
80 Carnegie Mellon Win 10-5 4.06 612 8.73% Counts (Why) Mar 30th East Coast Invite 2025
64 South Carolina Win 14-8 17.84 27 9.83% Counts (Why) Mar 30th East Coast Invite 2025
20 Virginia Loss 5-11 -33.52 82 9.02% 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.