(16) #168 Miami (Florida) (11-9)

810.09 (37)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
163 Florida State Loss 6-7 -4.57 52 4.95% Counts Jan 25th Florida Winter Classic 2025
233 Florida-B Win 10-2 1.41 21 5.22% Counts (Why) Jan 25th Florida Winter Classic 2025
29 Georgia Tech** Loss 1-13 0 170 0% Ignored (Why) Jan 25th Florida Winter Classic 2025
71 Central Florida** Loss 0-12 0 165 0% Ignored (Why) Jan 26th Florida Winter Classic 2025
233 Florida-B Win 8-4 -0.48 21 4.75% Counts (Why) Jan 26th Florida Winter Classic 2025
184 Georgia Southern Win 12-4 29.27 20 5.74% Counts (Why) Jan 26th Florida Winter Classic 2025
203 Florida Tech Win 7-5 3.18 25 5.34% Counts Feb 8th Tropical Toss up
- South Florida** Win 13-2 0 0% Ignored (Why) Feb 8th Tropical Toss up
235 American-B Win 7-4 -6.53 31 6.07% Counts (Why) Mar 1st Cherry Blossom Classic 2025
161 East Carolina Loss 7-8 -6.05 12 7.09% Counts Mar 1st Cherry Blossom Classic 2025
40 Haverford/Bryn Mawr** Loss 0-13 0 181 0% Ignored (Why) Mar 1st Cherry Blossom Classic 2025
197 Towson Win 7-4 18.1 19 6.07% Counts (Why) Mar 1st Cherry Blossom Classic 2025
161 East Carolina Win 4-3 8.69 12 4.85% Counts (Why) Mar 2nd Cherry Blossom Classic 2025
102 Lehigh Loss 5-9 -4.63 75 6.85% Counts Mar 2nd Cherry Blossom Classic 2025
56 Maryland** Loss 1-11 0 166 0% Ignored (Why) Mar 2nd Cherry Blossom Classic 2025
226 Connecticut College Win 9-8 -36.46 9.51% Counts Mar 29th Northeast Classic 2025
125 Dartmouth Loss 3-9 -26.3 8.32% Counts (Why) Mar 29th Northeast Classic 2025
182 Vermont-C Loss 4-5 -14.93 6.92% Counts Mar 29th Northeast Classic 2025
218 SUNY-Cortland Win 10-3 21.45 8.79% Counts (Why) Mar 30th Northeast Classic 2025
198 Vassar Win 10-7 17.24 9.51% Counts Mar 30th Northeast Classic 2025
**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.