(4) #267 Wisconsin-B (9-12)

521.5 (28)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
107 John Brown Loss 5-10 2.27 9 4.45% Counts Mar 5th Midwest Throwdown 2022
318 Knox Win 7-6 -6.65 1 4.14% Counts Mar 5th Midwest Throwdown 2022
63 Northwestern** Loss 2-13 0 8 0% Ignored (Why) Mar 5th Midwest Throwdown 2022
321 Northwestern-B Win 9-4 13.24 4 4.14% Counts (Why) Mar 5th Midwest Throwdown 2022
325 Purdue-B Win 9-8 -10.08 1 4.73% Counts Mar 6th Midwest Throwdown 2022
253 St John's Loss 9-13 -17.69 120 5% Counts Mar 6th Midwest Throwdown 2022
173 Truman State Loss 6-9 -1.98 40 4.45% Counts Mar 6th Midwest Throwdown 2022
174 Kansas Win 8-7 27.76 40 5.29% Counts Mar 26th Old Capital Open 2022
163 Grace Loss 6-9 -1.41 4 5.29% Counts Mar 26th Old Capital Open 2022
317 Washington University-B Loss 6-7 -19.84 28 4.92% Counts Mar 26th Old Capital Open 2022
224 Minnesota-B Loss 8-12 -16.89 26 5.95% Counts Mar 27th Old Capital Open 2022
265 Northern Iowa Loss 9-11 -15.24 36 5.95% Counts Mar 27th Old Capital Open 2022
224 Minnesota-B Win 11-9 34.33 26 7.5% Counts Apr 23rd North Central Dev College Mens CC 2022
347 Iowa State-B Win 13-3 9.28 32 7.5% Counts (Why) Apr 23rd North Central Dev College Mens CC 2022
375 Wisconsin-Milwaukee-B** Win 13-2 0 27 0% Ignored (Why) Apr 23rd North Central Dev College Mens CC 2022
374 Wisconsin-Eau Claire-B** Win 13-2 0 27 0% Ignored (Why) Apr 23rd North Central Dev College Mens CC 2022
299 Minnesota-C Win 11-7 25.41 33 7.3% Counts Apr 24th North Central Dev College Mens CC 2022
310 Carleton College-Karls Loss 10-11 -28.22 19 7.5% Counts Apr 24th North Central Dev College Mens CC 2022
86 Iowa** Loss 5-12 0 34 0% Ignored (Why) Apr 30th North Central D I College Mens Regionals 2022
100 Iowa State Loss 8-13 14.74 38 7.94% Counts Apr 30th North Central D I College Mens Regionals 2022
138 Wisconsin-Milwaukee Loss 6-13 -8.08 25 7.94% Counts (Why) Apr 30th North Central 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.