(5) #54 Florida State (12-7)

1329.11 (30)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
197 Florida-B** Win 12-1 0 479 0% Ignored (Why) Jan 28th Florida Winter Classic 2023
10 Northeastern Loss 5-10 9.17 63 8.25% Counts Jan 28th Florida Winter Classic 2023
188 Miami (Florida)** Win 13-1 0 107 0% Ignored (Why) Jan 28th Florida Winter Classic 2023
192 Florida Tech** Win 13-0 0 193 0% Ignored (Why) Jan 28th Florida Winter Classic 2023
85 Central Florida Win 7-3 19.68 128 6.74% Counts (Why) Jan 29th Florida Winter Classic 2023
51 Florida Win 8-7 13.24 55 8.25% Counts Jan 29th Florida Winter Classic 2023
10 Northeastern** Loss 1-12 0 63 0% Ignored (Why) Jan 29th Florida Winter Classic 2023
28 Minnesota Loss 8-9 6.69 40 9.86% Counts Feb 11th Queen City Tune Up1
25 Notre Dame Loss 8-9 10.85 28 9.86% Counts Feb 11th Queen City Tune Up1
1 North Carolina** Loss 3-13 0 25 0% Ignored (Why) Feb 11th Queen City Tune Up1
68 William & Mary Loss 8-9 -34.62 20 9.86% Counts Feb 11th Queen City Tune Up1
73 Appalachian State Win 8-7 -10.19 21 9.26% Counts Feb 12th Queen City Tune Up1
187 North Carolina-Wilmington** Win 11-2 0 1023 0% Ignored (Why) Feb 12th Queen City Tune Up1
39 Chicago Win 8-7 29.96 33 11.67% Counts Mar 11th Tally Classic XVII
201 Notre Dame-B** Win 13-0 0 54 0% Ignored (Why) Mar 11th Tally Classic XVII
183 Georgia Tech-B** Win 10-3 0 12 0% Ignored (Why) Mar 11th Tally Classic XVII
174 Tulane** Win 11-0 0 64 0% Ignored (Why) Mar 11th Tally Classic XVII
39 Chicago Loss 10-11 -3.5 33 13.13% Counts Mar 12th Tally Classic XVII
97 Clemson Win 11-10 -43.39 10 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.