(2) #14 Florida (18-7) SE 3

1886.82 (26)

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# Opponent Result Effect % of Ranking Status Date Event
1 North Carolina Loss 8-13 -1.19 3.06% Jan 20th Carolina Kickoff 2018 NC Ultimate
12 North Carolina State Win 12-11 4.95 3.06% Jan 20th Carolina Kickoff 2018 NC Ultimate
91 Penn State Win 13-8 -0.53 3.06% Jan 20th Carolina Kickoff 2018 NC Ultimate
16 North Carolina-Wilmington Loss 10-11 -4.02 3.06% Jan 21st Carolina Kickoff 2018 NC Ultimate
69 Carleton College-GoP Win 13-9 -0.59 3.06% Jan 21st Carolina Kickoff 2018 NC Ultimate
52 Harvard Win 13-11 -4.89 3.85% Feb 16th Warm Up A Florida Affair 2018
111 Arizona State Win 12-7 -3.09 3.85% Feb 16th Warm Up A Florida Affair 2018
39 Northwestern Loss 10-13 -23.5 3.85% Feb 16th Warm Up A Florida Affair 2018
13 Wisconsin Win 13-10 14.37 3.85% Feb 16th Warm Up A Florida Affair 2018
160 Oklahoma** Win 13-5 0 0% Ignored Feb 17th Warm Up A Florida Affair 2018
21 Texas A&M Win 13-9 14.18 3.85% Feb 17th Warm Up A Florida Affair 2018
2 Carleton College Loss 7-15 -10.37 3.85% Feb 17th Warm Up A Florida Affair 2018
31 LSU Win 15-13 1.08 3.85% Feb 18th Warm Up A Florida Affair 2018
41 Northeastern Win 15-13 -2.78 3.85% Feb 18th Warm Up A Florida Affair 2018
44 Illinois Win 13-7 12.48 4.58% Mar 10th Mens Centex 2018
68 Baylor Win 13-7 6.03 4.58% Mar 10th Mens Centex 2018
58 Kansas Win 13-7 8.24 4.58% Mar 10th Mens Centex 2018
82 Oklahoma State Win 13-11 -12.04 4.58% Mar 10th Mens Centex 2018
4 Minnesota Loss 10-15 -12.99 4.58% Mar 11th Mens Centex 2018
31 LSU Win 15-10 12.79 4.58% Mar 11th Mens Centex 2018
29 Texas Win 13-12 -2.44 4.58% Mar 11th Mens Centex 2018
1 North Carolina Loss 8-15 -6.13 5.45% Mar 31st Easterns 2018
33 Maryland Win 15-9 18.04 5.45% Mar 31st Easterns 2018
36 Michigan Win 15-13 -1.98 5.45% Mar 31st Easterns 2018
13 Wisconsin Loss 13-14 -5.46 5.45% Mar 31st Easterns 2018
**Blowout Eligible

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.