(2) #62 Florida (14-9)

1418.86 (6)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
114 Jacksonville State Win 13-4 13.16 44 3.75% Counts (Why) Jan 18th TTown Throwdown 2020 Open
144 Mississippi State Win 11-9 -5.79 40 3.75% Counts Jan 18th TTown Throwdown 2020 Open
101 Vanderbilt Win 11-2 13.91 81 3.44% Counts (Why) Jan 18th TTown Throwdown 2020 Open
60 LSU Win 10-9 5.08 8 3.75% Counts Jan 18th TTown Throwdown 2020 Open
41 Alabama Loss 12-15 -4.64 10 3.75% Counts Jan 19th TTown Throwdown 2020 Open
25 Georgia Tech Loss 9-15 -6.13 21 3.75% Counts Jan 19th TTown Throwdown 2020 Open
33 Northwestern Loss 10-13 -3.97 51 4.64% Counts Feb 14th Florida Warm Up 2020 Weekend 1
29 Wisconsin Loss 12-13 7.83 15 4.64% Counts Feb 14th Florida Warm Up 2020 Weekend 1
63 Cincinnati Loss 10-13 -16.06 63 4.64% Counts Feb 14th Florida Warm Up 2020 Weekend 1
82 Cornell Win 13-9 15.4 7 4.64% Counts Feb 15th Florida Warm Up 2020 Weekend 1
33 Northwestern Loss 11-14 -3.25 51 4.64% Counts Feb 15th Florida Warm Up 2020 Weekend 1
69 Texas A&M Win 13-11 9.46 20 4.64% Counts Feb 15th Florida Warm Up 2020 Weekend 1
55 Virginia Tech Win 11-10 8.42 17 4.64% Counts Feb 15th Florida Warm Up 2020 Weekend 1
82 Cornell Win 12-11 1.13 7 4.64% Counts Feb 16th Florida Warm Up 2020 Weekend 1
31 Texas-Dallas Loss 10-11 7.46 105 4.64% Counts Feb 16th Florida Warm Up 2020 Weekend 1
175 Alabama-Birmingham Win 13-10 -8.61 23 5.16% Counts Feb 29th Mardi Gras XXXIII
124 Sul Ross State University Win 13-10 1.99 8 5.16% Counts Feb 29th Mardi Gras XXXIII
341 LSU-B** Win 13-2 0 10 0% Ignored (Why) Feb 29th Mardi Gras XXXIII
139 Texas Tech Loss 11-12 -27.21 11 5.16% Counts Feb 29th Mardi Gras XXXIII
164 Illinois State Win 13-11 -11.76 288 5.16% Counts Mar 1st Mardi Gras XXXIII
69 Texas A&M Loss 9-12 -20.65 20 5.16% Counts Mar 1st Mardi Gras XXXIII
87 Texas State Win 13-6 25.44 4 5.16% Counts (Why) Mar 1st Mardi Gras XXXIII
139 Texas Tech Win 12-9 -1.63 11 5.16% Counts Mar 1st Mardi Gras XXXIII
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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.