(11) #193 Miami (Florida) (10-6)

1088.75 (190)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
38 Ave Maria** Loss 4-13 0 92 0% Ignored (Why) Mar 1st Florida Warm Up 2025 Weekend 2
229 Ave Maria-B Loss 10-11 -17.33 178 6.33% Counts Mar 1st Florida Warm Up 2025 Weekend 2
333 Florida-B Win 13-3 5.27 170 6.33% Counts (Why) Mar 1st Florida Warm Up 2025 Weekend 2
333 Florida-B Win 13-3 5.27 170 6.33% Counts (Why) Mar 2nd Florida Warm Up 2025 Weekend 2
397 South Florida-B** Win 13-4 0 173 0% Ignored (Why) Mar 2nd Florida Warm Up 2025 Weekend 2
339 Alabama-B Win 13-9 -11.11 232 7.53% Counts Mar 22nd 2025 Annual Magic City Invite
397 South Florida-B** Win 13-2 0 173 0% Ignored (Why) Mar 22nd 2025 Annual Magic City Invite
324 Samford Win 13-6 8.89 225 7.53% Counts (Why) Mar 22nd 2025 Annual Magic City Invite
319 Mississippi Win 13-3 10.04 301 7.53% Counts (Why) Mar 22nd 2025 Annual Magic City Invite
171 Alabama-Birmingham Loss 9-14 -30.14 242 7.53% Counts Mar 23rd 2025 Annual Magic City Invite
319 Mississippi Win 15-6 10.04 301 7.53% Counts (Why) Mar 23rd 2025 Annual Magic City Invite
185 Union (Tennessee) Win 15-8 49.29 250 7.53% Counts (Why) Mar 23rd 2025 Annual Magic City Invite
126 Central Florida Loss 10-14 -13.87 165 8.96% Counts Apr 12th Florida D I Mens Conferences 2025
286 North Florida Win 14-7 23.96 50 8.96% Counts (Why) Apr 12th Florida D I Mens Conferences 2025
132 Florida State Loss 10-15 -21.13 244 8.96% Counts Apr 13th Florida D I Mens Conferences 2025
144 South Florida Loss 10-14 -19.57 176 8.96% Counts Apr 13th Florida D I Mens Conferences 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.