(2) #29 Purdue (17-4)

1617.28 (29)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
9 Georgia Loss 9-11 4.07 21 4.18% Counts Feb 12th Queen City Tune Up 2022
23 William & Mary Win 10-9 9.09 66 4.18% Counts Feb 12th Queen City Tune Up 2022
37 North Carolina-Charlotte Loss 7-9 -13.58 77 3.84% Counts Feb 12th Queen City Tune Up 2022
28 North Carolina-Wilmington Win 10-6 20.2 15 3.84% Counts (Why) Feb 13th Queen City Tune Up 2022
60 Notre Dame Win 15-6 17.93 25 4.18% Counts (Why) Feb 13th Queen City Tune Up 2022
221 DePaul** Win 13-1 0 56 0% Ignored (Why) Mar 5th Midwest Throwdown 2022
63 Northwestern Win 10-5 16.09 8 4.42% Counts (Why) Mar 5th Midwest Throwdown 2022
67 Colorado College Win 8-7 -5.3 44 4.42% Counts Mar 5th Midwest Throwdown 2022
138 Wisconsin-Milwaukee Win 13-9 -8.94 25 4.97% Counts Mar 6th Midwest Throwdown 2022
63 Northwestern Win 13-7 17.36 8 4.97% Counts (Why) Mar 6th Midwest Throwdown 2022
100 Iowa State Win 13-7 6.74 38 4.97% Counts (Why) Mar 6th Midwest Throwdown 2022
67 Colorado College Win 12-7 14.7 44 4.97% Counts (Why) Mar 6th Midwest Throwdown 2022
251 IUPUI** Win 15-4 0 47 0% Ignored (Why) Apr 9th East Plains D I College Mens CC 2022
93 Kentucky Win 11-8 -2.33 35 6.64% Counts Apr 9th East Plains D I College Mens CC 2022
60 Notre Dame Win 15-10 18.81 25 6.64% Counts Apr 10th East Plains D I College Mens CC 2022
51 Indiana Win 15-10 21.93 9 6.64% Counts Apr 10th East Plains D I College Mens CC 2022
191 Illinois State** Win 15-3 0 25 0% Ignored (Why) Apr 30th Great Lakes D I College Mens Regionals 2022
70 Chicago Win 13-12 -12.53 18 7.89% Counts Apr 30th Great Lakes D I College Mens Regionals 2022
93 Kentucky Win 13-10 -6.02 35 7.89% Counts May 1st Great Lakes D I College Mens Regionals 2022
51 Indiana Loss 9-12 -42.03 9 7.89% Counts May 1st Great Lakes D I College Mens Regionals 2022
60 Notre Dame Loss 6-11 -59.36 25 7.47% Counts May 1st Great Lakes 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.