(6) #40 Minnesota (14-7)

1713.8 (105)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
158 Case Western Reserve** Win 15-1 0 65 0% Ignored (Why) Feb 10th Queen City Tune Up 2024
61 Florida Win 13-10 5.82 56 5.12% Counts Feb 10th Queen City Tune Up 2024
8 Tufts Loss 8-15 4.16 164 5.12% Counts Feb 10th Queen City Tune Up 2024
21 Northeastern Loss 5-15 -19.11 142 5.12% Counts (Why) Feb 10th Queen City Tune Up 2024
41 South Carolina Win 9-5 23.65 64 4.4% Counts (Why) Feb 11th Queen City Tune Up 2024
19 Georgia Loss 7-12 -11.13 127 5.12% Counts Feb 11th Queen City Tune Up 2024
99 Chicago Win 9-2 7.18 31 6.35% Counts (Why) Mar 30th Old Capitol Open 2024
83 Kansas Win 7-5 -2.77 13 6.1% Counts Mar 30th Old Capitol Open 2024
205 Minnesota-Duluth** Win 10-0 0 79 0% Ignored (Why) Mar 30th Old Capitol Open 2024
35 St Olaf Loss 3-7 -31.57 143 5.57% Counts (Why) Mar 31st Old Capitol Open 2024
100 Davenport Win 8-2 6.71 25 5.97% Counts (Why) Mar 31st Old Capitol Open 2024
59 Purdue Win 8-0 25.57 184 5.97% Counts (Why) Mar 31st Old Capitol Open 2024
3 Carleton College** Loss 2-13 0 85 0% Ignored (Why) Apr 13th Western North Central D I Womens Conferences 2024
96 Iowa State Win 10-4 11.37 70 7.53% Counts (Why) Apr 13th Western North Central D I Womens Conferences 2024
96 Iowa State Win 13-3 13.17 70 8.62% Counts (Why) Apr 13th Western North Central D I Womens Conferences 2024
205 Minnesota-Duluth** Win 13-0 0 79 0% Ignored (Why) Apr 13th Western North Central D I Womens Conferences 2024
178 Wisconsin-La Crosse** Win 15-2 0 0% Ignored (Why) Apr 27th North Central D I College Womens Regionals 2024
26 Wisconsin Loss 9-13 -27.32 36 9.67% Counts Apr 27th North Central D I College Womens Regionals 2024
3 Carleton College** Loss 6-15 0 85 0% Ignored (Why) Apr 28th North Central D I College Womens Regionals 2024
102 Iowa Win 15-3 10.54 40 9.67% Counts (Why) Apr 28th North Central D I College Womens Regionals 2024
96 Iowa State Win 15-12 -17.11 70 9.67% Counts Apr 28th North Central D I College Womens Regionals 2024
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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.