(13) #66 Georgetown (17-3)

1392.84 (95)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
162 Air Force Win 13-5 10.93 287 5.46% Counts (Why) Jan 25th Carolina Kickoff 2020
117 Appalachian State Win 12-11 -7.17 64 5.46% Counts Jan 25th Carolina Kickoff 2020
92 Duke Loss 8-11 -28.65 20 5.46% Counts Jan 25th Carolina Kickoff 2020
26 South Carolina Loss 4-13 -14.32 38 5.46% Counts (Why) Jan 25th Carolina Kickoff 2020
89 Carleton College-GoP Win 10-9 0.61 36 5.46% Counts Jan 26th Carolina Kickoff 2020
91 Indiana Win 10-8 7.86 33 5.31% Counts Jan 26th Carolina Kickoff 2020
97 Richmond Win 12-7 20.82 118 5.46% Counts (Why) Jan 26th Carolina Kickoff 2020
113 Pennsylvania Win 13-11 0.38 132 6.76% Counts Feb 22nd Oak Creek Challenge 2020
72 Lehigh Win 13-11 15.11 138 6.76% Counts Feb 22nd Oak Creek Challenge 2020
247 Towson** Win 13-5 0 200 0% Ignored (Why) Feb 22nd Oak Creek Challenge 2020
201 American Win 15-6 2.71 148 6.76% Counts (Why) Feb 23rd Oak Creek Challenge 2020
113 Pennsylvania Win 12-9 8.83 132 6.76% Counts Feb 23rd Oak Creek Challenge 2020
72 Lehigh Win 15-12 20.3 138 6.76% Counts Feb 23rd Oak Creek Challenge 2020
348 Radford** Win 10-2 0 78 0% Ignored (Why) Feb 29th Cutlass Classic 2020
128 Clemson Win 11-8 6.81 84 7.13% Counts Feb 29th Cutlass Classic 2020
368 Coastal Carolina** Win 12-2 0 78 0% Ignored (Why) Feb 29th Cutlass Classic 2020
241 Wake Forest Win 11-6 -11.61 79 6.74% Counts (Why) Feb 29th Cutlass Classic 2020
95 Connecticut Loss 12-15 -34.37 47 7.13% Counts Mar 1st Cutlass Classic 2020
293 Charleston** Win 15-3 0 85 0% Ignored (Why) Mar 1st Cutlass Classic 2020
128 Clemson Win 15-12 1.81 84 7.13% Counts Mar 1st Cutlass Classic 2020
**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.