(1) #236 Florida-B (2-18)

83.7 (0)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
172 Florida State Loss 1-7 -3.34 1 3.83% Counts (Why) Jan 25th Florida Winter Classic 2025
33 Georgia Tech** Loss 0-13 0 1 0% Ignored (Why) Jan 25th Florida Winter Classic 2025
169 Miami (Florida) Loss 2-10 -3.61 0 4.61% Counts (Why) Jan 25th Florida Winter Classic 2025
65 Florida** Loss 3-12 0 1 0% Ignored (Why) Jan 26th Florida Winter Classic 2025
229 Georgia Tech-B Win 8-6 18.07 0 4.53% Counts Jan 26th Florida Winter Classic 2025
169 Miami (Florida) Loss 4-8 -1.73 0 4.19% Counts Jan 26th Florida Winter Classic 2025
159 Charleston Loss 3-10 -1.39 0 6.91% Counts (Why) Mar 15th Southerns 2025
107 Denver** Loss 0-13 0 4 0% Ignored (Why) Mar 15th Southerns 2025
126 North Carolina-Wilmington** Loss 1-13 0 0 0% Ignored (Why) Mar 15th Southerns 2025
156 Georgia Southern Loss 2-10 -0.75 0 6.91% Counts (Why) Mar 15th Southerns 2025
125 Georgia College** Loss 3-11 0 0 0% Ignored (Why) Mar 15th Southerns 2025
172 Florida State Loss 2-15 -9.29 1 9.96% Counts (Why) Apr 12th Florida D I Womens Conferences 2025
248 South Florida Loss 7-8 -18.85 0 8.85% Counts Apr 12th Florida D I Womens Conferences 2025
219 Florida Tech Win 7-6 23.18 1 8.24% Counts Apr 13th Florida D I Womens Conferences 2025
169 Miami (Florida) Loss 7-13 -3.56 0 9.96% Counts Apr 13th Florida D I Womens Conferences 2025
59 Central Florida** Loss 1-15 0 1 0% Ignored (Why) Apr 26th Southeast D I College Womens Regionals 2025
99 Emory** Loss 4-15 0 0 0% Ignored (Why) Apr 26th Southeast D I College Womens Regionals 2025
156 Georgia Southern Loss 1-13 -1.27 0 11.18% Counts (Why) Apr 26th Southeast D I College Womens Regionals 2025
172 Florida State Loss 6-9 10.76 1 9.94% Counts Apr 27th Southeast D I College Womens Regionals 2025
212 Georgia-B Loss 8-10 -9.01 0 10.88% Counts Apr 27th Southeast D I College Womens Regionals 2025
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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.