(5) #192 Rowan (12-9)

788.03 (45)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
256 Penn State-B Win 12-7 13.59 37 4.12% Counts (Why) Mar 5th Philly Special
275 College of New Jersey Loss 7-10 -29.13 48 3.9% Counts Mar 5th Philly Special
256 Penn State-B Win 13-11 1.06 37 4.12% Counts Mar 6th Philly Special
289 Salisbury Win 13-5 10.07 45 4.9% Counts (Why) Mar 26th Garden State 2022
229 West Chester Win 13-4 24.93 40 4.9% Counts (Why) Mar 26th Garden State 2022
275 College of New Jersey Win 10-1 12.13 48 4.28% Counts (Why) Mar 26th Garden State 2022
247 SUNY-Albany Win 6-5 -1.94 43 3.73% Counts Mar 26th Garden State 2022
350 New Jersey Tech** Win 10-2 0 41 0% Ignored (Why) Mar 27th Garden State 2022
289 Salisbury Win 12-8 1.89 45 4.9% Counts Mar 27th Garden State 2022
247 SUNY-Albany Win 11-9 3.82 43 4.9% Counts Mar 27th Garden State 2022
183 Wesleyan Win 12-8 25.68 58 5.19% Counts Apr 2nd Northeast Classic
193 Vermont-C Win 13-7 30.45 36 5.19% Counts (Why) Apr 2nd Northeast Classic
138 Bowdoin Loss 10-13 -7.13 76 5.19% Counts Apr 2nd Northeast Classic
162 Massachusetts-Lowell Loss 11-12 -0.61 43 5.19% Counts Apr 3rd Northeast Classic
234 Amherst Loss 9-10 -14.09 60 5.19% Counts Apr 3rd Northeast Classic
94 Princeton Loss 4-15 -12.3 37 5.83% Counts (Why) Apr 16th Metro NY D I College Mens CC 2022
119 Connecticut Loss 8-13 -12.6 29 5.83% Counts Apr 16th Metro NY D I College Mens CC 2022
76 Columbia Loss 8-13 -1.23 43 5.83% Counts Apr 16th Metro NY D I College Mens CC 2022
209 SUNY-Stony Brook Loss 8-11 -27.08 48 5.83% Counts Apr 16th Metro NY D I College Mens CC 2022
154 NYU Loss 7-12 -22.15 45 5.83% Counts Apr 17th Metro NY D I College Mens CC 2022
279 Hofstra Win 9-6 4.16 47 5.18% Counts Apr 17th Metro NY D I College Mens CC 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.