(4) #163 Grace (13-4)

914.88 (4)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
174 Kansas Win 9-6 20.46 40 4.9% Counts Mar 26th Old Capital Open 2022
267 Wisconsin-B Win 9-6 1.3 28 4.9% Counts Mar 26th Old Capital Open 2022
317 Washington University-B Win 9-6 -12 28 4.9% Counts Mar 26th Old Capital Open 2022
253 St John's Win 12-11 -10.82 120 5.51% Counts Mar 27th Old Capital Open 2022
131 Saint Louis Loss 6-8 -8.23 34 4.73% Counts Mar 27th Old Capital Open 2022
198 Western Michigan Win 10-8 7.6 72 5.36% Counts Mar 27th Old Capital Open 2022
173 Truman State Loss 5-7 -15.82 40 4.38% Counts Mar 27th Old Capital Open 2022
282 Rose-Hulman Win 10-9 -22.27 45 6.19% Counts Apr 9th East Plains D III College Mens CC 2022
196 Kalamazoo Win 9-8 0.07 17 5.85% Counts Apr 9th East Plains D III College Mens CC 2022
128 Butler Loss 10-12 -6.1 32 6.19% Counts Apr 9th East Plains D III College Mens CC 2022
225 Valparaiso Win 8-6 4.49 10 5.31% Counts Apr 9th East Plains D III College Mens CC 2022
282 Rose-Hulman Win 12-10 -14.81 45 6.19% Counts Apr 10th East Plains D III College Mens CC 2022
225 Valparaiso Loss 7-15 -54.09 10 6.19% Counts (Why) Apr 10th East Plains D III College Mens CC 2022
154 Wheaton (Illinois) Win 13-10 29.36 10 7.36% Counts Apr 30th Great Lakes D III College Mens Regionals 2022
225 Valparaiso Win 13-8 21.9 10 7.36% Counts Apr 30th Great Lakes D III College Mens Regionals 2022
128 Butler Win 12-10 30.47 32 7.36% Counts May 1st Great Lakes D III College Mens Regionals 2022
225 Valparaiso Win 13-5 30.14 10 7.36% Counts (Why) May 1st Great Lakes D III 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.