(13) #188 Oklahoma State (13-8)

863.82 (99)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
363 Dallas Win 12-7 -15.71 37 4.12% Counts (Why) Feb 22nd Dust Bowl 2025
90 Missouri S&T Loss 8-10 7.06 72 4.01% Counts Feb 22nd Dust Bowl 2025
203 Nebraska Win 11-10 2.05 189 4.12% Counts Feb 22nd Dust Bowl 2025
136 North Texas Loss 4-8 -10.78 38 3.28% Counts Feb 22nd Dust Bowl 2025
168 Truman State Loss 8-11 -11.39 40 4.12% Counts Feb 22nd Dust Bowl 2025
239 Texas-Dallas Win 11-5 15.07 60 3.79% Counts (Why) Feb 23rd Dust Bowl 2025
168 Truman State Loss 4-13 -21.48 40 4.12% Counts (Why) Feb 23rd Dust Bowl 2025
93 Colorado-B Loss 3-13 -9.47 41 4.91% Counts (Why) Mar 15th Mens Centex 2025
319 Texas A&M-B Win 13-7 -1.66 13 4.91% Counts (Why) Mar 15th Mens Centex 2025
239 Texas-Dallas Win 10-9 -4.75 60 4.91% Counts Mar 15th Mens Centex 2025
270 Texas State Win 12-8 5.25 89 4.91% Counts Mar 15th Mens Centex 2025
135 Mississippi State Loss 11-15 -6.9 23 4.91% Counts Mar 16th Mens Centex 2025
227 Tarleton State Win 15-13 2.35 241 4.91% Counts Mar 16th Mens Centex 2025
103 Texas A&M Win 13-12 25.89 133 4.91% Counts Mar 16th Mens Centex 2025
261 Colorado State-B Win 15-5 17.53 16 5.51% Counts (Why) Mar 29th Free State Classic 2025
225 John Brown Win 14-8 21.64 42 5.51% Counts (Why) Mar 29th Free State Classic 2025
169 Kansas Loss 10-14 -17.6 209 5.51% Counts Mar 29th Free State Classic 2025
168 Truman State Win 15-13 18.35 40 5.51% Counts Mar 29th Free State Classic 2025
261 Colorado State-B Win 9-7 -1.06 16 5.05% Counts Mar 30th Free State Classic 2025
323 Kansas State Win 15-7 0.33 87 5.51% Counts (Why) Mar 30th Free State Classic 2025
168 Truman State Loss 9-12 -14.25 40 5.51% Counts Mar 30th Free State Classic 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.