(1) #27 Georgia Tech (14-8)

1601.47 (26)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
109 Temple Win 11-5 4.52 28 3.89% Counts (Why) Feb 3rd Florida Warm Up 2023
142 Connecticut Win 11-8 -11.4 11 4.23% Counts Feb 3rd Florida Warm Up 2023
1 Massachusetts Loss 4-15 -2.39 5 4.23% Counts (Why) Feb 4th Florida Warm Up 2023
204 South Florida** Win 13-3 0 31 0% Ignored (Why) Feb 4th Florida Warm Up 2023
93 Virginia Tech Win 13-11 -7.01 16 4.23% Counts Feb 4th Florida Warm Up 2023
5 Vermont Loss 5-13 -11.66 12 4.23% Counts (Why) Feb 4th Florida Warm Up 2023
21 Michigan Win 13-10 17.34 2 4.23% Counts Feb 5th Florida Warm Up 2023
11 Pittsburgh Loss 8-13 -13.32 4 4.23% Counts Feb 5th Florida Warm Up 2023
49 Case Western Reserve Win 13-9 12 16 5.04% Counts Feb 25th Easterns Qualifier 2023
69 Cornell Loss 9-12 -33 39 5.04% Counts Feb 25th Easterns Qualifier 2023
164 George Washington** Win 13-5 0 44 0% Ignored (Why) Feb 25th Easterns Qualifier 2023
52 Virginia Loss 10-12 -24.48 152 5.04% Counts Feb 25th Easterns Qualifier 2023
49 Case Western Reserve Win 15-7 21.62 16 5.04% Counts (Why) Feb 26th Easterns Qualifier 2023
64 Georgetown Win 15-8 16.3 26 5.04% Counts (Why) Feb 26th Easterns Qualifier 2023
135 Georgia State Win 15-5 0.02 15 5.04% Counts (Why) Feb 26th Easterns Qualifier 2023
3 Brigham Young Loss 10-13 7.61 42 5.99% Counts Mar 18th Centex 2023
96 Texas A&M Win 13-3 12.65 75 5.99% Counts (Why) Mar 18th Centex 2023
46 Colorado College Win 12-10 4.15 97 5.99% Counts Mar 18th Centex 2023
96 Texas A&M Win 7-4 4.52 75 4.56% Counts (Why) Mar 19th Centex 2023
6 Colorado Loss 8-14 -13.7 70 5.99% Counts Mar 19th Centex 2023
46 Colorado College Win 15-5 27.2 97 5.99% Counts (Why) Mar 19th Centex 2023
33 Oklahoma Christian Loss 13-14 -10.56 162 5.99% Counts Mar 19th Centex 2023
**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.