(2) #73 Delaware (13-5)

1283.29 (33)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
110 Christopher Newport Win 13-4 21.47 25 4.75% Counts (Why) Feb 26th Oak Creek Challenge
215 North Carolina-B Win 13-3 0.93 34 4.75% Counts (Why) Feb 26th Oak Creek Challenge
242 Drexel** Win 13-3 0 36 0% Ignored (Why) Feb 26th Oak Creek Challenge
118 Virginia Commonwealth Win 12-11 -3.8 46 4.75% Counts Feb 26th Oak Creek Challenge
96 RIT Win 12-11 0.87 39 4.75% Counts Feb 27th Oak Creek Challenge
100 Lehigh Loss 10-13 -22.78 39 4.75% Counts Feb 27th Oak Creek Challenge
229 West Chester Win 13-8 -5.74 40 4.75% Counts Feb 27th Oak Creek Challenge
287 Maryland-Baltimore County** Win 13-4 0 42 0% Ignored (Why) Apr 23rd Colonial D I College Mens CC 2022
289 Salisbury** Win 13-1 0 45 0% Ignored (Why) Apr 23rd Colonial D I College Mens CC 2022
153 Johns Hopkins Loss 12-13 -37.08 41 7.54% Counts Apr 23rd Colonial D I College Mens CC 2022
59 Georgetown Loss 11-13 -8.88 46 7.54% Counts Apr 23rd Colonial D I College Mens CC 2022
153 Johns Hopkins Win 10-9 -16.71 41 7.54% Counts Apr 24th Colonial D I College Mens CC 2022
136 American Win 15-8 23.99 42 7.54% Counts (Why) Apr 24th Colonial D I College Mens CC 2022
198 George Washington Win 15-11 -11.36 37 7.54% Counts Apr 24th Colonial D I College Mens CC 2022
25 Maryland Loss 9-13 -4.06 38 8.46% Counts May 7th Atlantic Coast D I College Mens Regionals 2022
67 James Madison Win 13-12 16.88 45 8.46% Counts May 7th Atlantic Coast D I College Mens Regionals 2022
2 North Carolina Loss 7-13 31.27 31 8.46% Counts May 7th Atlantic Coast D I College Mens Regionals 2022
69 Virginia Tech Win 13-12 15.86 33 8.46% Counts May 7th Atlantic Coast D I College Mens Regionals 2022
**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.