(16) #183 Florida-B (4-14)

398.54 (60)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
198 South Florida Win 7-6 1.38 85 5.64% Counts Jan 15th Florida Winter Classic 2022
15 Florida State** Loss 0-13 0 25 0% Ignored (Why) Jan 15th Florida Winter Classic 2022
197 Florida Tech Loss 5-6 -11.95 62 5.19% Counts Jan 15th Florida Winter Classic 2022
114 Cedarville Loss 1-9 -13.61 40 7.53% Counts (Why) Feb 19th Commonwealth Cup Weekend 1
173 Michigan-B Win 6-2 42.07 130 6.09% Counts (Why) Feb 19th Commonwealth Cup Weekend 1
97 Mary Washington Loss 1-10 -2.2 38 7.95% Counts (Why) Feb 19th Commonwealth Cup Weekend 1
186 Virginia-B Loss 2-3 -6.63 38 4.67% Counts Feb 19th Commonwealth Cup Weekend 1
153 North Carolina-B Loss 5-6 5.41 63 6.92% Counts Feb 20th Commonwealth Cup Weekend 1
140 Auburn Loss 3-11 -35.8 49 10.52% Counts (Why) Mar 19th College Southerns XX
120 Wisconsin-Eau Claire Loss 1-13 -25.79 23 11.46% Counts (Why) Mar 19th College Southerns XX
21 Middlebury** Loss 1-13 0 68 0% Ignored (Why) Mar 19th College Southerns XX
67 Charleston** Loss 3-11 0 57 0% Ignored (Why) Mar 20th College Southerns XX
120 Wisconsin-Eau Claire Loss 0-10 -22.16 23 10.01% Counts (Why) Mar 20th College Southerns XX
15 Florida State** Loss 0-13 0 25 0% Ignored (Why) Apr 9th Florida D I College Womens CC 2022
199 Miami Win 10-1 66.31 95 11.91% Counts (Why) Apr 9th Florida D I College Womens CC 2022
198 South Florida Win 8-7 3.19 85 12.11% Counts Apr 10th Florida D I College Womens CC 2022
51 Central Florida** Loss 0-15 0 40 0% Ignored (Why) Apr 10th Florida D I College Womens CC 2022
47 Florida** Loss 3-14 0 27 0% Ignored (Why) Apr 10th Florida D I College Womens CC 2022
**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.