(15) #272 Oklahoma (9-14)

805.29 (381)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
130 North Texas Loss 5-11 -2.48 220 3.2% Counts (Why) Feb 1st Big D in Little D 2025
394 Stephen F Austin Win 11-5 -2.22 366 3.2% Counts (Why) Feb 1st Big D in Little D 2025
275 Texas Tech Loss 7-9 -9.79 245 3.2% Counts Feb 1st Big D in Little D 2025
293 Trinity Loss 6-7 -5.98 149 2.88% Counts Feb 1st Big D in Little D 2025
394 Stephen F Austin** Win 15-4 0 366 0% Ignored (Why) Feb 2nd Big D in Little D 2025
323 Rice Win 12-7 11.34 484 3.48% Counts (Why) Feb 2nd Big D in Little D 2025
194 John Brown Loss 9-10 6.71 386 4.14% Counts Feb 22nd Dust Bowl 2025
187 Nebraska Loss 6-10 -7.21 332 3.8% Counts Feb 22nd Dust Bowl 2025
201 Saint Louis Loss 5-9 -10.11 208 3.56% Counts Feb 22nd Dust Bowl 2025
163 Truman State Loss 4-12 -7.58 258 3.98% Counts (Why) Feb 22nd Dust Bowl 2025
309 Washington University-B Win 8-7 -1.5 323 3.68% Counts Feb 23rd Dust Bowl 2025
189 Baylor Loss 6-13 -17.42 350 5.53% Counts (Why) Mar 29th Huckfest 2025
394 Stephen F Austin** Win 13-5 0 366 0% Ignored (Why) Mar 29th Huckfest 2025
332 Texas A&M-B Win 13-6 21.52 299 5.53% Counts (Why) Mar 29th Huckfest 2025
305 Sam Houston Loss 9-10 -15.37 413 5.53% Counts Mar 29th Huckfest 2025
323 Rice Win 15-4 23.04 484 5.53% Counts (Why) Mar 30th Huckfest 2025
183 Tarleton State Loss 10-15 -6.47 453 5.53% Counts Mar 30th Huckfest 2025
159 Kansas Loss 2-15 -11.46 272 6.21% Counts (Why) Apr 12th Ozarks D I Mens Conferences 2025
322 Kansas State Win 14-11 7.23 332 6.21% Counts Apr 12th Ozarks D I Mens Conferences 2025
96 Missouri Loss 9-15 10.38 212 6.21% Counts Apr 12th Ozarks D I Mens Conferences 2025
191 Oklahoma State Loss 9-12 -3.33 237 6.21% Counts Apr 12th Ozarks D I Mens Conferences 2025
225 Arkansas Loss 10-12 -4.44 214 6.21% Counts Apr 13th Ozarks D I Mens Conferences 2025
309 Washington University-B Win 13-7 26.02 323 6.21% Counts (Why) 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.