(1) #59 Georgetown (14-4)

1519.65 (24)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
123 Liberty Win 10-5 2.08 39 5.96% Counts (Why) Jan 27th Winta Binta Vinta 2024
21 Ohio State Loss 3-13 -2.69 3 6.7% Counts (Why) Jan 27th Winta Binta Vinta 2024
70 James Madison Win 9-6 20.17 23 5.96% Counts Jan 27th Winta Binta Vinta 2024
181 Virginia-B** Win 10-4 0 27 0% Ignored (Why) Jan 27th Winta Binta Vinta 2024
61 Penn State Loss 3-7 -31.49 69 4.86% Counts (Why) Jan 28th Winta Binta Vinta 2024
123 Liberty Win 9-2 3.46 39 5.54% Counts (Why) Jan 28th Winta Binta Vinta 2024
70 James Madison Win 8-7 1.58 23 5.96% Counts Jan 28th Winta Binta Vinta 2024
162 South Carolina-B** Win 11-2 0 23 0% Ignored (Why) Feb 17th Commonwealth Cup Weekend 1 2024
128 Cedarville Win 13-6 2.37 23 7.97% Counts (Why) Feb 17th Commonwealth Cup Weekend 1 2024
129 Richmond Win 9-5 -3.22 123 6.84% Counts (Why) Feb 17th Commonwealth Cup Weekend 1 2024
53 American Win 6-5 12.28 48 6.07% Counts Feb 18th Commonwealth Cup Weekend 1 2024
123 Liberty Win 9-5 -0.89 39 6.84% Counts (Why) Feb 18th Commonwealth Cup Weekend 1 2024
28 St Olaf Loss 1-6 -15.19 59 7.12% Counts (Why) Mar 23rd Needle in a Ho Stack 2024
149 Emory** Win 13-1 0 17 0% Ignored (Why) Mar 23rd Needle in a Ho Stack 2024
43 Alabama-Huntsville Loss 8-10 -9.43 4 10.36% Counts Mar 24th Needle in a Ho Stack 2024
97 Appalachian State Win 11-2 32.54 1 9.76% Counts (Why) Mar 24th Needle in a Ho Stack 2024
167 Wake Forest** Win 13-1 0 11 0% Ignored (Why) Mar 24th Needle in a Ho Stack 2024
88 Virginia Tech Win 9-8 -10.9 16 10.06% Counts Mar 24th Needle in a Ho Stack 2024
**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.