(5) #94 RIT (17-6)

1214.43 (37)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
109 Christopher Newport Win 11-9 6.11 52 3.38% Counts Feb 26th Oak Creek Challenge
99 Lehigh Win 10-9 3.63 2 3.38% Counts Feb 26th Oak Creek Challenge
137 Towson Win 11-7 9.62 81 3.29% Counts Feb 26th Oak Creek Challenge
218 West Chester Win 13-3 3.42 9 3.38% Counts (Why) Feb 26th Oak Creek Challenge
112 Virginia Commonwealth Win 12-9 9.08 12 3.38% Counts Feb 27th Oak Creek Challenge
71 Delaware Loss 11-12 -0.79 53 3.38% Counts Feb 27th Oak Creek Challenge
237 Drexel Win 13-2 1.66 33 3.38% Counts (Why) Feb 27th Oak Creek Challenge
119 Yale Win 10-9 1 53 4.52% Counts Apr 2nd Northeast Classic
245 New Hampshire Win 13-6 1.58 40 4.52% Counts (Why) Apr 2nd Northeast Classic
216 Amherst Win 13-9 -3.81 36 4.52% Counts Apr 2nd Northeast Classic
120 Connecticut Win 11-9 6.85 40 4.52% Counts Apr 2nd Northeast Classic
239 Vermont-B Win 12-9 -10.02 76 4.52% Counts Apr 3rd Northeast Classic
180 Wesleyan Win 13-6 12.27 35 4.52% Counts (Why) Apr 3rd Northeast Classic
143 SUNY-Binghamton Win 8-6 3.47 47 4.11% Counts Apr 9th Western NY D I College Mens CC 2022
140 SUNY-Buffalo Loss 7-10 -28.43 46 4.53% Counts Apr 9th Western NY D I College Mens CC 2022
240 Syracuse Win 12-3 2 48 4.59% Counts (Why) Apr 9th Western NY D I College Mens CC 2022
81 Cornell Loss 8-9 -3.36 36 4.53% Counts Apr 9th Western NY D I College Mens CC 2022
140 SUNY-Buffalo Loss 10-11 -16.83 46 4.79% Counts Apr 10th Western NY D I College Mens CC 2022
240 Syracuse Win 14-3 2.09 48 4.79% Counts (Why) Apr 10th Western NY D I College Mens CC 2022
74 Columbia Win 11-9 20.65 43 5.69% Counts Apr 30th Metro East D I College Mens Regionals 2022
142 NYU Win 15-10 14.17 39 5.69% Counts Apr 30th Metro East D I College Mens Regionals 2022
120 Connecticut Loss 12-13 -13.85 40 5.69% Counts May 1st Metro East D I College Mens Regionals 2022
119 Yale Loss 6-8 -20.78 53 4.89% Counts May 1st Metro East D I College Mens Regionals 2022
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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.