(13) #125 Jacksonville State (9-8)

886.38 (136)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
172 Florida State Loss 9-10 -25.94 247 5.94% Counts Feb 22nd Mardi Gras XXXVII
136 Trinity Loss 8-9 -12.17 229 5.62% Counts Feb 22nd Mardi Gras XXXVII
72 Union (Tennessee) Loss 2-12 -13.01 251 5.7% Counts (Why) Feb 22nd Mardi Gras XXXVII
65 Florida Loss 4-12 -12.2 284 6.78% Counts (Why) Mar 15th Tally Classic XIX
177 Tulane Win 9-8 -13.46 407 6.68% Counts Mar 15th Tally Classic XIX
51 Middlebury Loss 5-7 15.87 321 5.61% Counts Mar 15th Tally Classic XIX
234 Auburn** Win 13-2 0 242 0% Ignored (Why) Apr 12th Gulf Coast D I Womens Conferences 2025
189 LSU Win 9-6 2 165 7.9% Counts Apr 12th Gulf Coast D I Womens Conferences 2025
210 Vanderbilt** Win 12-3 0 374 0% Ignored (Why) Apr 12th Gulf Coast D I Womens Conferences 2025
177 Tulane Win 11-3 25.51 407 8.16% Counts (Why) Apr 13th Gulf Coast D I Womens Conferences 2025
189 LSU Win 15-6 20 165 8.9% Counts (Why) Apr 13th Gulf Coast D I Womens Conferences 2025
157 Georgia Southern Win 14-11 11.2 17 9.99% Counts Apr 26th Southeast D I College Womens Regionals 2025
33 Georgia Tech** Loss 1-15 0 408 0% Ignored (Why) Apr 26th Southeast D I College Womens Regionals 2025
213 Georgia-B Win 14-8 -8.58 204 9.99% Counts (Why) Apr 26th Southeast D I College Womens Regionals 2025
189 LSU Win 12-4 21.7 165 9.58% Counts (Why) Apr 26th Southeast D I College Womens Regionals 2025
100 Emory Loss 7-9 -9.14 247 9.16% Counts Apr 27th Southeast D I College Womens Regionals 2025
29 Georgia** Loss 4-15 0 337 0% Ignored (Why) Apr 27th Southeast D I College Womens 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.