(1) #49 Illinois (11-11)

1456.25 (19)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
13 Minnesota Loss 9-10 10.71 22 4.06% Counts Mar 19th Missouri Loves Company MLC
78 Missouri Loss 9-11 -19.13 14 4.06% Counts Mar 19th Missouri Loves Company MLC
40 Colorado State Win 10-7 17.68 14 3.84% Counts Mar 19th Missouri Loves Company MLC
4 Brigham Young Loss 5-13 -0.72 20 4.06% Counts (Why) Mar 19th Missouri Loves Company MLC
46 Cincinnati Loss 14-15 -4.18 39 4.06% Counts Mar 20th Missouri Loves Company MLC
133 Wisconsin-Milwaukee Win 15-13 -9.25 5 4.06% Counts Mar 20th Missouri Loves Company MLC
52 Indiana Loss 12-15 -13.34 31 4.06% Counts Mar 20th Missouri Loves Company MLC
5 Pittsburgh Loss 7-15 -2.72 25 4.55% Counts (Why) Apr 1st Easterns 2022
10 California Loss 11-15 0.59 20 4.55% Counts Apr 1st Easterns 2022
8 Georgia Loss 11-15 4.42 30 4.55% Counts Apr 1st Easterns 2022
12 Northeastern Loss 10-15 -3.35 36 4.55% Counts Apr 3rd Easterns 2022
17 Texas Win 15-13 25.17 33 4.55% Counts Apr 3rd Easterns 2022
18 Tufts Loss 7-15 -16.24 28 4.55% Counts (Why) Apr 3rd Easterns 2022
221 Loyola-Chicago** Win 15-2 0 6 0% Ignored (Why) Apr 23rd Illinois D I College Mens CC 2022
190 Illinois State Win 13-8 -9.38 13 5.42% Counts Apr 23rd Illinois D I College Mens CC 2022
70 Chicago Win 10-8 7.45 19 5.27% Counts Apr 24th Illinois D I College Mens CC 2022
64 Northwestern Win 9-8 2.03 23 5.12% Counts Apr 24th Illinois D I College Mens CC 2022
120 Grand Valley State Win 15-11 0.31 22 5.74% Counts Apr 30th Great Lakes D I College Mens Regionals 2022
64 Northwestern Win 15-12 12.97 23 5.74% Counts Apr 30th Great Lakes D I College Mens Regionals 2022
70 Chicago Win 13-12 -0.23 19 5.74% Counts May 1st Great Lakes D I College Mens Regionals 2022
91 Kentucky Win 14-10 8.54 21 5.74% Counts May 1st Great Lakes D I College Mens Regionals 2022
60 Notre Dame Loss 9-10 -11.15 30 5.74% 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.