(1) #322 Kansas State (2-15)

601.16 (332)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
309 Washington University-B Loss 7-12 -26.3 323 5.19% Counts Feb 22nd Dust Bowl 2025
57 Oklahoma Christian** Loss 0-13 0 295 0% Ignored (Why) Feb 22nd Dust Bowl 2025
176 Northern Iowa Loss 8-13 4.02 360 5.19% Counts Feb 22nd Dust Bowl 2025
367 Dallas Win 11-7 11.27 368 5.05% Counts Feb 23rd Dust Bowl 2025
284 Harding Win 10-7 28.38 225 4.91% Counts Feb 23rd Dust Bowl 2025
258 Colorado State-B Loss 8-14 -21.78 280 6.92% Counts Mar 29th Free State Classic 2025
194 John Brown Loss 4-15 -8.6 386 6.92% Counts (Why) Mar 29th Free State Classic 2025
159 Kansas** Loss 3-15 0 272 0% Ignored (Why) Mar 29th Free State Classic 2025
163 Truman State Loss 11-15 17.85 258 6.92% Counts Mar 29th Free State Classic 2025
194 John Brown Loss 6-15 -8.6 386 6.92% Counts (Why) Mar 30th Free State Classic 2025
191 Oklahoma State Loss 7-15 -7.5 237 6.92% Counts (Why) Mar 30th Free State Classic 2025
159 Kansas Loss 11-14 26.77 272 7.77% Counts Apr 12th Ozarks D I Mens Conferences 2025
272 Oklahoma Loss 11-14 -9.2 381 7.77% Counts Apr 12th Ozarks D I Mens Conferences 2025
191 Oklahoma State Loss 9-15 -1.37 237 7.77% Counts Apr 12th Ozarks D I Mens Conferences 2025
96 Missouri Loss 4-8 20.52 212 6.18% Counts Apr 12th Ozarks D I Mens Conferences 2025
225 Arkansas Loss 7-15 -18.95 214 7.77% Counts (Why) Apr 13th Ozarks D I Mens Conferences 2025
309 Washington University-B Loss 9-10 -7.18 323 7.77% Counts Apr 13th Ozarks D I Mens Conferences 2025
**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.