(24) #233 Oklahoma (8-13)

1005.7 (222)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
366 Dallas Win 15-11 -8.28 267 3.99% Counts Feb 10th Big D in Little D 2024
258 North Texas Win 10-9 1.51 263 3.99% Counts Feb 10th Big D in Little D 2024
253 Rice Win 11-10 2.03 253 3.99% Counts Feb 10th Big D in Little D 2024
153 Missouri S&T Loss 7-9 0.81 401 3.88% Counts Feb 17th Dust Bowl 2024
243 Nebraska Win 9-7 10.37 378 3.88% Counts Feb 17th Dust Bowl 2024
228 Oklahoma State Win 11-5 24.86 423 3.88% Counts (Why) Feb 17th Dust Bowl 2024
231 Harding Loss 12-15 -12.83 164 4.22% Counts Feb 18th Dust Bowl 2024
153 Missouri S&T Loss 11-15 -3.6 401 4.22% Counts Feb 18th Dust Bowl 2024
41 Oklahoma Christian** Loss 6-15 0 333 0% Ignored (Why) Feb 18th Dust Bowl 2024
83 Indiana Loss 8-11 13.34 311 5.97% Counts Mar 30th Huck Finn 2024
107 Iowa State Loss 6-11 -4.57 321 5.65% Counts Mar 30th Huck Finn 2024
82 Mississippi State Loss 1-10 -1.25 372 5.22% Counts (Why) Mar 30th Huck Finn 2024
69 Central Florida Loss 9-11 24.37 301 5.97% Counts Mar 31st Huck Finn 2024
118 Kentucky Loss 8-13 -5.46 113 5.97% Counts Mar 31st Huck Finn 2024
194 Ohio Win 9-8 15.69 333 5.65% Counts Mar 31st Huck Finn 2024
95 Arkansas Loss 3-15 -5.11 423 6.7% Counts (Why) Apr 13th Ozarks D I Mens Conferences 2024
320 Washington University-B Win 11-10 -16.48 381 6.7% Counts Apr 13th Ozarks D I Mens Conferences 2024
20 Washington University** Loss 6-15 0 221 0% Ignored (Why) Apr 13th Ozarks D I Mens Conferences 2024
356 Wichita State Win 14-6 5.99 368 6.7% Counts (Why) Apr 13th Ozarks D I Mens Conferences 2024
161 Saint Louis Loss 8-12 -11.74 357 6.7% Counts Apr 14th Ozarks D I Mens Conferences 2024
228 Oklahoma State Loss 8-12 -30.52 423 6.7% Counts Apr 14th Ozarks D I Mens 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.