(5) #51 Central Florida (17-6)

1287.11 (40)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
155 Kentucky** Win 9-2 0 19 0% Ignored (Why) Feb 26th TOTS
69 Union (Tennessee) Win 7-6 -0.53 44 4.87% Counts Feb 26th TOTS
237 Emory-B** Win 13-0 0 32 0% Ignored (Why) Feb 26th TOTS
217 Vanderbilt** Win 12-1 0 53 0% Ignored (Why) Feb 26th TOTS
155 Kentucky** Win 13-1 0 19 0% Ignored (Why) Feb 27th TOTS
15 Florida State Loss 2-15 -8.14 25 5.88% Counts (Why) Feb 27th TOTS
69 Union (Tennessee) Loss 6-14 -45.97 44 5.88% Counts (Why) Feb 27th TOTS
87 Alabama Win 11-0 26.84 48 6.8% Counts (Why) Mar 26th T Town Throwdown 2022
148 Alabama-Huntsville** Win 12-4 0 38 0% Ignored (Why) Mar 26th T Town Throwdown 2022
220 Mississippi State** Win 13-1 0 45 0% Ignored (Why) Mar 26th T Town Throwdown 2022
163 LSU** Win 13-0 0 55 0% Ignored (Why) Mar 26th T Town Throwdown 2022
87 Alabama Win 9-3 24.02 48 6.13% Counts (Why) Mar 27th T Town Throwdown 2022
198 South Florida** Win 13-0 0 85 0% Ignored (Why) Apr 9th Florida D I College Womens CC 2022
47 Florida Loss 5-7 -19.55 27 6.61% Counts Apr 9th Florida D I College Womens CC 2022
199 Miami** Win 15-0 0 95 0% Ignored (Why) Apr 10th Florida D I College Womens CC 2022
15 Florida State Loss 6-13 -11.82 25 8.32% Counts (Why) Apr 10th Florida D I College Womens CC 2022
183 Florida-B** Win 15-0 0 60 0% Ignored (Why) Apr 10th Florida D I College Womens CC 2022
127 Jacksonville State Win 12-8 -9.4 49 9.89% Counts Apr 30th Southeast D I College Womens Regionals 2022
108 Tennessee-Chattanooga Win 13-1 19.64 69 9.89% Counts (Why) Apr 30th Southeast D I College Womens Regionals 2022
14 Georgia Loss 4-11 -12.15 21 9.08% Counts (Why) Apr 30th Southeast D I College Womens Regionals 2022
80 Emory Win 12-4 41.33 70 9.5% Counts (Why) Apr 30th Southeast D I College Womens Regionals 2022
47 Florida Win 8-6 32.71 27 8.49% Counts May 1st Southeast D I College Womens Regionals 2022
30 Georgia Tech Loss 3-10 -35.62 15 8.64% Counts (Why) May 1st Southeast D I College Womens Regionals 2022
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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.