(3) #110 Michigan Tech (9-8)

857.89 (12)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
221 Carleton College-C** Win 13-3 0 14 0% Ignored (Why) Feb 26th Forever Winter Tournament
74 St. Olaf Loss 2-13 -34.48 19 9.21% Counts (Why) Feb 26th Forever Winter Tournament
206 St. Olaf-B** Win 13-1 0 14 0% Ignored (Why) Feb 26th Forever Winter Tournament
23 Carleton College-Eclipse** Loss 3-13 0 25 0% Ignored (Why) Feb 26th Forever Winter Tournament
66 Iowa Loss 2-11 -28.31 13 8.96% Counts (Why) Mar 5th Midwest Throwdown 2022
144 Luther Win 10-3 37.14 9 8.53% Counts (Why) Mar 5th Midwest Throwdown 2022
35 Minnesota Loss 1-11 -0.92 11 8.96% Counts (Why) Mar 5th Midwest Throwdown 2022
150 Truman State Win 6-4 9.08 20 7.08% Counts (Why) Mar 5th Midwest Throwdown 2022
92 Marquette Loss 7-12 -38.17 20 9.76% Counts Mar 6th Midwest Throwdown 2022
31 Purdue** Loss 2-13 0 5 0% Ignored (Why) Mar 6th Midwest Throwdown 2022
119 Missouri Win 9-5 43.5 6 8.38% Counts (Why) Mar 6th Midwest Throwdown 2022
221 Carleton College-C** Win 13-0 0 14 0% Ignored (Why) Apr 16th North Central D III College Womens CC 2022
206 St. Olaf-B** Win 11-3 0 14 0% Ignored (Why) Apr 16th North Central D III College Womens CC 2022
23 Carleton College-Eclipse** Loss 5-13 0 25 0% Ignored (Why) Apr 16th North Central D III College Womens CC 2022
146 Grinnell Win 8-7 -11.73 13 12.26% Counts Apr 16th North Central D III College Womens CC 2022
151 Macalester Win 12-6 50.23 14 13.43% Counts (Why) Apr 17th North Central D III College Womens CC 2022
101 Winona State Loss 8-10 -26.68 15 13.43% Counts Apr 17th North Central D III College Womens CC 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.