(10) #153 Florida State (7-14)

1003.71 (21)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
71 Kentucky Loss 5-11 -9.76 36 4.07% Counts (Why) Jan 25th Carolina Kickoff 2020
20 North Carolina-Wilmington** Loss 5-13 0 71 0% Ignored (Why) Jan 25th Carolina Kickoff 2020
91 Indiana Win 9-8 17.14 33 4.2% Counts Jan 25th Carolina Kickoff 2020
51 Tennessee Loss 6-12 -3.89 82 4.32% Counts Jan 25th Carolina Kickoff 2020
162 Air Force Win 12-3 25.72 287 4.26% Counts (Why) Jan 26th Carolina Kickoff 2020
89 Carleton College-GoP Loss 5-10 -12.28 36 3.94% Counts Jan 26th Carolina Kickoff 2020
82 Cornell Loss 8-13 -10.04 7 5.2% Counts Feb 14th Florida Warm Up 2020 Weekend 1
60 LSU Loss 7-12 -5.48 8 5.2% Counts Feb 14th Florida Warm Up 2020 Weekend 1
30 Texas Loss 7-13 7.53 31 5.2% Counts Feb 14th Florida Warm Up 2020 Weekend 1
35 Northeastern Loss 6-11 4.19 27 4.92% Counts Feb 15th Florida Warm Up 2020 Weekend 1
17 Michigan Loss 8-12 22.12 12 5.2% Counts Feb 15th Florida Warm Up 2020 Weekend 1
55 Virginia Tech Loss 6-11 -4.32 17 4.92% Counts Feb 15th Florida Warm Up 2020 Weekend 1
141 Harvard Loss 12-13 -4.89 19 5.2% Counts Feb 15th Florida Warm Up 2020 Weekend 1
69 Texas A&M Loss 5-13 -12.03 20 5.2% Counts (Why) Feb 16th Florida Warm Up 2020 Weekend 1
172 South Florida Win 11-10 3.53 24 5.2% Counts Feb 16th Florida Warm Up 2020 Weekend 1
276 Mississippi Win 13-4 4.54 48 5.79% Counts (Why) Feb 29th Mardi Gras XXXIII
157 Iowa Win 10-9 7.15 26 5.79% Counts Feb 29th Mardi Gras XXXIII
87 Texas State Loss 4-13 -19.49 4 5.79% Counts (Why) Feb 29th Mardi Gras XXXIII
230 Sam Houston State Win 8-7 -7.69 11 5.14% Counts Feb 29th Mardi Gras XXXIII
144 Mississippi State Loss 4-9 -29.32 40 4.79% Counts (Why) Mar 1st Mardi Gras XXXIII
157 Iowa Win 11-7 27.37 26 5.64% Counts Mar 1st Mardi Gras XXXIII
**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.