(11) #107 John Brown (8-8)

1144.08 (9)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
318 Knox** Win 12-5 0 1 0% Ignored (Why) Mar 5th Midwest Throwdown 2022
321 Northwestern-B** Win 12-2 0 4 0% Ignored (Why) Mar 5th Midwest Throwdown 2022
267 Wisconsin-B Win 10-5 -2.59 28 5.05% Counts (Why) Mar 5th Midwest Throwdown 2022
221 DePaul Win 10-4 8.57 56 4.97% Counts (Why) Mar 5th Midwest Throwdown 2022
82 Missouri Loss 3-13 -28.77 23 5.69% Counts (Why) Mar 6th Midwest Throwdown 2022
59 Missouri S&T Loss 7-11 -10.47 25 5.53% Counts Mar 6th Midwest Throwdown 2022
103 Marquette Win 10-8 16.66 37 5.53% Counts Mar 6th Midwest Throwdown 2022
59 Missouri S&T Loss 7-12 -19.08 25 7.59% Counts Apr 9th Ozarks D III College Mens CC 2022
34 Oklahoma Christian Loss 6-12 -12.57 37 7.39% Counts Apr 9th Ozarks D III College Mens CC 2022
173 Truman State Win 13-8 20.51 40 7.59% Counts Apr 9th Ozarks D III College Mens CC 2022
59 Missouri S&T Win 9-8 31.95 25 7.18% Counts Apr 10th Ozarks D III College Mens CC 2022
34 Oklahoma Christian Loss 6-12 -12.57 37 7.39% Counts Apr 10th Ozarks D III College Mens CC 2022
59 Missouri S&T Loss 9-12 -5.67 25 9.02% Counts Apr 30th South Central D III College Mens Regionals 2022
133 Sul Ross State Win 15-7 49.74 150 9.02% Counts (Why) Apr 30th South Central D III College Mens Regionals 2022
34 Oklahoma Christian Loss 5-15 -17.69 37 9.02% Counts (Why) Apr 30th South Central D III College Mens Regionals 2022
34 Oklahoma Christian Loss 6-15 -17.69 37 9.02% Counts (Why) May 1st South Central D III College Mens Regionals 2022
**Blowout Eligible. Learn more about how this works here.

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.