() #71 Florida (12-11)

1590.96 (19)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
14 Texas Loss 7-12 -2.43 23 3.39% Counts Jan 31st Florida Warm Up 2025
26 Michigan Loss 8-11 -1.86 24 3.39% Counts Jan 31st Florida Warm Up 2025
2 Massachusetts** Loss 3-13 0 47 0% Ignored (Why) Jan 31st Florida Warm Up 2025
45 Virginia Tech Loss 10-11 1.28 23 3.39% Counts Feb 1st Florida Warm Up 2025
50 Tulane Loss 8-12 -11.37 21 3.39% Counts Feb 1st Florida Warm Up 2025
92 Texas A&M Win 12-10 4.39 19 3.39% Counts Feb 1st Florida Warm Up 2025
128 Central Florida Win 11-8 3.59 19 3.39% Counts Feb 2nd Florida Warm Up 2025
51 Cornell Loss 9-10 -0.34 18 3.39% Counts Feb 2nd Florida Warm Up 2025
102 Alabama Win 13-10 7.75 18 4.03% Counts Feb 22nd Mardi Gras XXXVII
35 Ave Maria Loss 10-12 -1.34 19 4.03% Counts Feb 22nd Mardi Gras XXXVII
280 Jacksonville State Win 13-6 -9.45 12 4.03% Counts (Why) Feb 22nd Mardi Gras XXXVII
134 Florida State Win 10-7 4.34 17 3.81% Counts Feb 22nd Mardi Gras XXXVII
124 Clemson Loss 10-11 -18.73 18 4.79% Counts Mar 15th Tally Classic XIX
130 LSU Win 14-9 10.38 18 4.79% Counts Mar 15th Tally Classic XIX
184 Georgia State Win 12-9 -6.48 18 4.79% Counts Mar 15th Tally Classic XIX
128 Central Florida Win 15-11 7.58 19 6.04% Counts Apr 12th Florida D I Mens Conferences 2025
290 North Florida** Win 15-3 0 18 0% Ignored (Why) Apr 12th Florida D I Mens Conferences 2025
35 Ave Maria Loss 9-15 -19.88 19 6.04% Counts Apr 13th Florida D I Mens Conferences 2025
128 Central Florida Win 15-10 13.84 19 6.78% Counts Apr 26th Southeast D I College Mens Regionals 2025
118 Mississippi State Win 14-10 12 18 6.78% Counts Apr 26th Southeast D I College Mens Regionals 2025
21 Georgia Tech Loss 9-15 -9.47 22 6.78% Counts Apr 26th Southeast D I College Mens Regionals 2025
99 Tennessee-Chattanooga Win 14-10 19.01 19 6.78% Counts Apr 26th Southeast D I College Mens Regionals 2025
17 Georgia Loss 10-15 -2.18 24 6.78% Counts Apr 27th Southeast D I College Mens Regionals 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.