(4) #83 Kansas (10-8)

1343 (13)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
96 Iowa State Loss 6-7 -12.96 70 5.7% Counts Mar 2nd Midwest Throwdown 2024
147 Marquette Win 5-4 -16.53 33 4.74% Counts Mar 2nd Midwest Throwdown 2024
45 Macalester Loss 6-7 10.55 34 5.7% Counts Mar 2nd Midwest Throwdown 2024
113 Saint Louis Loss 4-7 -39.16 141 5.24% Counts Mar 3rd Midwest Throwdown 2024
127 Wisconsin-Eau Claire Win 6-4 3.35 27 5% Counts (Why) Mar 3rd Midwest Throwdown 2024
77 Missouri Loss 4-7 -26.01 115 5.24% Counts Mar 3rd Midwest Throwdown 2024
99 Chicago Win 5-3 17.63 31 5.63% Counts (Why) Mar 30th Old Capitol Open 2024
40 Minnesota Loss 5-7 3.16 105 6.9% Counts Mar 30th Old Capitol Open 2024
205 Minnesota-Duluth** Win 9-1 0 79 0% Ignored (Why) Mar 30th Old Capitol Open 2024
106 Michigan Tech Win 8-6 11.74 182 7.45% Counts Mar 30th Old Capitol Open 2024
35 St Olaf Loss 1-8 -11.91 143 6.75% Counts (Why) Mar 31st Old Capitol Open 2024
96 Iowa State Loss 7-9 -31.92 70 7.96% Counts Mar 31st Old Capitol Open 2024
70 Northwestern Win 9-0 52.31 87 7.18% Counts (Why) Mar 31st Old Capitol Open 2024
113 Saint Louis Win 10-4 36.12 141 8.51% Counts (Why) Apr 13th Ozarks D I Womens Conferences 2024
34 Washington University Loss 4-10 -14.78 16 8.51% Counts (Why) Apr 13th Ozarks D I Womens Conferences 2024
124 Arkansas Win 11-7 20.5 324 9.48% Counts Apr 14th Ozarks D I Womens Conferences 2024
177 Missouri State** Win 14-4 0 143 0% Ignored (Why) Apr 14th Ozarks D I Womens Conferences 2024
195 Washington University-B** Win 15-3 0 109 0% Ignored (Why) Apr 14th Ozarks D I Womens Conferences 2024
**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.