(5) #118 Northwestern (10-19)

939.61 (203)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
29 Georgia** Loss 2-13 0 337 0% Ignored (Why) Feb 15th Queen City Tune Up 2025
11 Michigan** Loss 0-13 0 458 0% Ignored (Why) Feb 15th Queen City Tune Up 2025
69 North Carolina State Loss 4-13 -9.81 358 3.83% Counts (Why) Feb 15th Queen City Tune Up 2025
108 Alabama-Huntsville Loss 3-6 -12.53 228 2.64% Counts Feb 16th Queen City Tune Up 2025
128 North Carolina-Wilmington Win 6-4 7.81 166 2.78% Counts (Why) Feb 16th Queen City Tune Up 2025
28 Missouri** Loss 3-8 0 94 0% Ignored (Why) Mar 1st Midwest Throwdown 2025
55 St Olaf Loss 3-7 -3.15 182 3.12% Counts (Why) Mar 1st Midwest Throwdown 2025
44 Washington University** Loss 4-11 0 175 0% Ignored (Why) Mar 1st Midwest Throwdown 2025
99 Wisconsin-Eau Claire Win 11-6 29.38 258 4.07% Counts (Why) Mar 1st Midwest Throwdown 2025
102 Macalester Loss 6-13 -21.76 378 4.3% Counts (Why) Mar 2nd Midwest Throwdown 2025
88 Michigan Tech Win 10-4 31.05 201 3.75% Counts (Why) Mar 2nd Midwest Throwdown 2025
92 Iowa State Loss 10-11 2.71 217 5.42% Counts Mar 29th Old Capitol Open 2025
110 Michigan State Loss 9-11 -10.47 402 5.42% Counts Mar 29th Old Capitol Open 2025
217 Wisconsin-Milwaukee** Win 13-3 0 282 0% Ignored (Why) Mar 29th Old Capitol Open 2025
129 Winona State Win 8-7 1.57 253 4.81% Counts Mar 29th Old Capitol Open 2025
74 Purdue Loss 4-8 -10.96 397 4.3% Counts Mar 30th Old Capitol Open 2025
99 Wisconsin-Eau Claire Loss 3-10 -22.51 258 4.73% Counts (Why) Mar 30th Old Capitol Open 2025
142 Saint Louis Loss 4-7 -29.97 372 4.12% Counts Mar 30th Old Capitol Open 2025
62 Chicago Loss 5-8 -2.62 174 5.03% Counts Apr 12th Illinois D I Womens Conferences 2025
67 Illinois Loss 5-13 -14.89 129 6.08% Counts (Why) Apr 12th Illinois D I Womens Conferences 2025
121 Loyola-Chicago Win 6-5 5.58 337 4.62% Counts Apr 12th Illinois D I Womens Conferences 2025
253 Northwestern-B** Win 13-0 0 302 0% Ignored (Why) Apr 12th Illinois D I Womens Conferences 2025
62 Chicago Loss 7-8 18.01 174 6.06% Counts Apr 26th Great Lakes D I Womens Regionals 2025
181 Michigan-B Win 9-4 11.79 255 5.64% Counts (Why) Apr 26th Great Lakes D I Womens Regionals 2025
74 Purdue Loss 6-7 11.73 397 5.64% Counts Apr 26th Great Lakes D I Womens Regionals 2025
244 Notre Dame-B** Win 13-0 0 346 0% Ignored (Why) Apr 26th Great Lakes D I Womens Regionals 2025
11 Michigan** Loss 1-13 0 458 0% Ignored (Why) Apr 27th Great Lakes D I Womens Regionals 2025
110 Michigan State Win 11-9 23.1 402 6.82% Counts Apr 27th Great Lakes D I Womens Regionals 2025
74 Purdue Loss 8-11 -3.26 397 6.82% Counts Apr 27th Great Lakes D I 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.