(32) #63 Georgia Tech (13-6)

1197.1 (270)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
113 Alabama-Huntsville Win 8-7 -14.11 110 5.05% Counts Jan 28th T Town Throwdown1
202 Emory-B** Win 13-0 0 454 0% Ignored (Why) Jan 28th T Town Throwdown1
133 Emory Win 8-3 0.12 104 4.42% Counts (Why) Jan 28th T Town Throwdown1
113 Alabama-Huntsville Win 13-2 12.63 110 5.68% Counts (Why) Jan 29th T Town Throwdown1
133 Emory Win 13-2 0.15 104 5.68% Counts (Why) Jan 29th T Town Throwdown1
138 Alabama** Win 11-0 0 30 0% Ignored (Why) Feb 11th 2023 TOTS The Only Tenn I See
105 Kentucky Win 7-2 13.47 138 4.63% Counts (Why) Feb 11th 2023 TOTS The Only Tenn I See
127 Union (Tennessee) Loss 2-7 -54.84 82 4.63% Counts (Why) Feb 11th 2023 TOTS The Only Tenn I See
168 LSU** Win 11-0 0 12 0% Ignored (Why) Feb 11th 2023 TOTS The Only Tenn I See
138 Alabama** Win 13-2 0 30 0% Ignored (Why) Feb 12th 2023 TOTS The Only Tenn I See
75 Tennessee Loss 3-10 -41.39 37 5.57% Counts (Why) Feb 12th 2023 TOTS The Only Tenn I See
105 Kentucky Loss 6-8 -36.06 138 5.47% Counts Feb 12th 2023 TOTS The Only Tenn I See
85 Central Florida Win 10-6 25.47 128 7.81% Counts (Why) Mar 18th Womens Centex1
71 Northwestern Win 10-9 4.18 77 8.51% Counts Mar 18th Womens Centex1
20 Texas-Dallas Loss 2-13 -16.5 72 8.51% Counts (Why) Mar 18th Womens Centex1
49 Washington University Win 12-10 37.46 57 8.51% Counts Mar 18th Womens Centex1
51 Florida Loss 10-11 2.72 55 8.51% Counts Mar 19th Womens Centex1
58 Texas Win 13-8 54.79 151 8.51% Counts Mar 19th Womens Centex1
20 Texas-Dallas Loss 9-11 16.13 72 8.51% Counts Mar 19th Womens Centex1
**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.