(5) #35 Wisconsin (16-12)

1633.39 (390)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
128 North Carolina-Wilmington** Win 13-1 0 166 0% Ignored (Why) Feb 15th Queen City Tune Up 2025
5 Vermont** Loss 2-13 0 385 0% Ignored (Why) Feb 15th Queen City Tune Up 2025
37 William & Mary Loss 9-13 -15.44 212 3.31% Counts Feb 15th Queen City Tune Up 2025
69 North Carolina State Win 8-4 6.08 358 2.63% Counts (Why) Feb 16th Queen City Tune Up 2025
26 Northeastern Loss 4-9 -12.23 293 2.74% Counts (Why) Feb 16th Queen City Tune Up 2025
61 Brown Win 8-6 0.6 316 3.19% Counts Mar 1st Stanford Invite 2025 Womens
13 Cal Poly-SLO Loss 9-12 3.91 363 3.72% Counts Mar 1st Stanford Invite 2025 Womens
15 California-Santa Cruz Loss 6-13 -7.33 433 3.72% Counts (Why) Mar 1st Stanford Invite 2025 Womens
8 Stanford Loss 5-13 -3.84 341 3.72% Counts (Why) Mar 1st Stanford Invite 2025 Womens
40 California Win 8-7 2.51 285 3.31% Counts Mar 2nd Stanford Invite 2025 Womens
23 California-Davis Loss 7-8 4.2 426 3.31% Counts Mar 2nd Stanford Invite 2025 Womens
47 American Win 12-6 23.3 355 4.56% Counts (Why) Mar 29th East Coast Invite 2025
34 Cornell Win 13-4 29.87 328 4.69% Counts (Why) Mar 29th East Coast Invite 2025
31 Pittsburgh Loss 8-11 -15.14 323 4.69% Counts Mar 29th East Coast Invite 2025
104 Yale Win 15-3 0.36 141 4.69% Counts (Why) Mar 29th East Coast Invite 2025
38 MIT Win 8-6 10.68 312 4.02% Counts Mar 30th East Coast Invite 2025
22 Ohio State Loss 10-13 -3.44 375 4.69% Counts Mar 30th East Coast Invite 2025
20 Pennsylvania Loss 7-8 6.69 333 4.16% Counts Mar 30th East Coast Invite 2025
95 Marquette Win 12-6 2.17 303 5.12% Counts (Why) Apr 12th Lake Superior D I Womens Conferences 2025
217 Wisconsin-Milwaukee** Win 15-2 0 282 0% Ignored (Why) Apr 12th Lake Superior D I Womens Conferences 2025
99 Wisconsin-Eau Claire Win 8-6 -11.67 258 4.52% Counts Apr 13th Lake Superior D I Womens Conferences 2025
2 Carleton College** Loss 5-15 0 435 0% Ignored (Why) Apr 26th North Central D I College Womens Regionals 2025
92 Iowa State Win 9-8 -23.45 217 5.59% Counts Apr 26th North Central D I College Womens Regionals 2025
95 Marquette Win 15-3 3.82 303 5.91% Counts (Why) Apr 26th North Central D I College Womens Regionals 2025
215 Minnesota-Duluth** Win 15-3 0 97 0% Ignored (Why) Apr 26th North Central D I College Womens Regionals 2025
92 Iowa State Win 15-6 4.93 217 5.91% Counts (Why) Apr 27th North Central D I College Womens Regionals 2025
24 Minnesota Loss 9-12 -9.88 313 5.91% Counts Apr 27th North Central D I College Womens Regionals 2025
99 Wisconsin-Eau Claire Win 15-4 3.32 258 5.91% Counts (Why) Apr 27th North Central D I College Womens Regionals 2025
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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.