(16) #258 Emory-B (0-17)

-313.57 (159)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
80 Appalachian State** Loss 0-15 0 485 0% Ignored (Why) Jan 25th Carolina Kickoff 2025
9 North Carolina** Loss 0-15 0 404 0% Ignored (Why) Jan 25th Carolina Kickoff 2025
152 North Carolina-B** Loss 0-15 0 285 0% Ignored (Why) Jan 25th Carolina Kickoff 2025
43 Duke** Loss 2-15 0 326 0% Ignored (Why) Jan 26th Carolina Kickoff 2025
100 Emory** Loss 2-13 0 247 0% Ignored (Why) Jan 26th Carolina Kickoff 2025
69 North Carolina State** Loss 0-15 0 358 0% Ignored (Why) Jan 26th Carolina Kickoff 2025
80 Appalachian State** Loss 0-13 0 485 0% Ignored (Why) Mar 29th Needle in a Ho Stack 2025
156 Berry** Loss 1-13 0 324 0% Ignored (Why) Mar 29th Needle in a Ho Stack 2025
221 Florida Tech Loss 1-9 -21.05 321 23.36% Counts (Why) Mar 29th Needle in a Ho Stack 2025
82 Tennessee** Loss 0-13 0 282 0% Ignored (Why) Mar 29th Needle in a Ho Stack 2025
229 Elon Loss 6-9 20.23 38 25.1% Counts Mar 30th Needle in a Ho Stack 2025
213 Georgia-B Loss 4-8 6.29 204 22.45% Counts Mar 30th Needle in a Ho Stack 2025
82 Tennessee** Loss 0-15 0 282 0% Ignored (Why) Apr 12th Southern Appalachian D I Womens Conferences 2025
33 Georgia Tech** Loss 0-15 0 408 0% Ignored (Why) Apr 12th Southern Appalachian D I Womens Conferences 2025
157 Georgia Southern** Loss 2-15 0 17 0% Ignored (Why) Apr 12th Southern Appalachian D I Womens Conferences 2025
203 Tennessee-Chattanooga** Loss 1-15 0 216 0% Ignored (Why) Apr 13th Southern Appalachian D I Womens Conferences 2025
213 Georgia-B Loss 5-11 -5.52 204 29.09% Counts (Why) Apr 13th Southern Appalachian D I Womens Conferences 2025
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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.