() #46 Florida State (12-7)

1473.72 (136)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
216 Florida-B** Win 12-1 0 164 0% Ignored (Why) Jan 28th Florida Winter Classic 2023
10 Northeastern Loss 5-10 7.8 146 8.25% Counts Jan 28th Florida Winter Classic 2023
203 Miami (Florida)** Win 13-1 0 159 0% Ignored (Why) Jan 28th Florida Winter Classic 2023
210 Florida Tech** Win 13-0 0 203 0% Ignored (Why) Jan 28th Florida Winter Classic 2023
82 Central Florida Win 7-3 18.52 148 6.74% Counts (Why) Jan 29th Florida Winter Classic 2023
47 Florida Win 8-7 10.72 142 8.25% Counts Jan 29th Florida Winter Classic 2023
10 Northeastern** Loss 1-12 0 146 0% Ignored (Why) Jan 29th Florida Winter Classic 2023
27 Minnesota Loss 8-9 9.46 138 9.86% Counts Feb 11th Queen City Tune Up1
26 Notre Dame Loss 8-9 9.8 132 9.86% Counts Feb 11th Queen City Tune Up1
1 North Carolina** Loss 3-13 0 141 0% Ignored (Why) Feb 11th Queen City Tune Up1
62 William & Mary Loss 8-9 -35.13 136 9.86% Counts Feb 11th Queen City Tune Up1
64 Appalachian State Win 8-7 -7.58 136 9.26% Counts Feb 12th Queen City Tune Up1
202 North Carolina-Wilmington** Win 11-2 0 164 0% Ignored (Why) Feb 12th Queen City Tune Up1
38 Chicago Win 8-7 28.86 135 11.67% Counts Mar 11th Tally Classic XVII
214 Notre Dame-B** Win 13-0 0 21 0% Ignored (Why) Mar 11th Tally Classic XVII
195 Georgia Tech-B** Win 10-3 0 102 0% Ignored (Why) Mar 11th Tally Classic XVII
166 Tulane** Win 11-0 0 90 0% Ignored (Why) Mar 11th Tally Classic XVII
38 Chicago Loss 10-11 -4.76 135 13.13% Counts Mar 12th Tally Classic XVII
86 Clemson Win 11-10 -39.64 126 13.13% Counts Mar 12th Tally Classic XVII
**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.