(2) #309 Florida Gulf Coast (9-7)

681.37 (392)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
206 Embry-Riddle Loss 6-10 -5.42 369 6.45% Counts Feb 24th Florida Warm Up 2024 Weekend 2
372 North Florida Win 13-5 20.75 396 7.03% Counts (Why) Feb 24th Florida Warm Up 2024 Weekend 2
383 Florida State-B Win 13-5 14.94 356 7.03% Counts (Why) Feb 24th Florida Warm Up 2024 Weekend 2
406 South Florida-B** Win 13-4 0 430 0% Ignored (Why) Feb 24th Florida Warm Up 2024 Weekend 2
73 Ave Maria** Loss 1-13 0 255 0% Ignored (Why) Feb 25th Florida Warm Up 2024 Weekend 2
330 Florida Polytechnic Win 13-8 31.19 447 7.03% Counts Feb 25th Florida Warm Up 2024 Weekend 2
406 South Florida-B** Win 13-0 0 430 0% Ignored (Why) Mar 16th Tally Classic XVIII
287 Florida Tech Loss 10-13 -20.23 398 8.36% Counts Mar 16th Tally Classic XVIII
383 Florida State-B Win 11-8 -3.36 356 8.36% Counts Mar 17th Tally Classic XVIII
384 Notre Dame-B Win 11-5 14.73 244 7.67% Counts (Why) Mar 17th Tally Classic XVIII
384 Notre Dame-B Loss 9-12 -70.1 244 8.36% Counts Mar 17th Tally Classic XVIII
383 Florida State-B Win 12-10 -14.99 356 8.36% Counts Mar 17th Tally Classic XVIII
89 Florida State** Loss 6-15 0 304 0% Ignored (Why) Apr 13th Florida D I Mens Conferences 2024
372 North Florida Win 14-7 30.3 396 10.54% Counts (Why) Apr 13th Florida D I Mens Conferences 2024
183 South Florida Loss 9-15 -1.22 320 10.54% Counts Apr 13th Florida D I Mens Conferences 2024
186 Miami (Florida) Loss 7-11 3.21 260 10.26% Counts Apr 14th Florida D I Mens Conferences 2024
**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.