(5) #47 Oklahoma Christian (12-6)

1520.17 (30)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
24 British Columbia Loss 12-13 9.33 42 5.67% Counts Jan 27th Santa Barbara Invite 2024
5 Cal Poly-SLO Loss 7-15 3.28 12 5.67% Counts (Why) Jan 27th Santa Barbara Invite 2024
67 Chicago Win 11-7 19.48 40 5.51% Counts Jan 27th Santa Barbara Invite 2024
79 Grand Canyon Win 11-8 11.18 111 5.67% Counts Jan 27th Santa Barbara Invite 2024
43 California-San Diego Win 12-11 10.03 47 5.67% Counts Jan 28th Santa Barbara Invite 2024
35 California-Santa Cruz Loss 7-11 -20.42 50 5.51% Counts Jan 28th Santa Barbara Invite 2024
30 Utah Loss 9-11 -5.55 31 5.67% Counts Jan 28th Santa Barbara Invite 2024
229 Northern Iowa Win 11-6 -17.54 0 6.37% Counts (Why) Feb 17th Dust Bowl 2024
335 Wichita State** Win 13-0 0 6 0% Ignored (Why) Feb 17th Dust Bowl 2024
218 Texas-Dallas** Win 12-2 0 23 0% Ignored (Why) Feb 17th Dust Bowl 2024
209 Oklahoma** Win 15-6 0 77 0% Ignored (Why) Feb 18th Dust Bowl 2024
108 Wisconsin-Milwaukee Win 11-7 10.28 78 6.56% Counts Feb 18th Dust Bowl 2024
218 Texas-Dallas Win 12-8 -23.2 23 6.74% Counts Feb 18th Dust Bowl 2024
53 Colorado State Win 12-9 27.43 118 8.49% Counts Mar 16th College Mens Centex Tier 1
55 Michigan State Loss 8-12 -45.97 43 8.49% Counts Mar 16th College Mens Centex Tier 1
48 Missouri Win 8-5 33.85 13 7.02% Counts (Why) Mar 16th College Mens Centex Tier 1
44 Tulane Win 11-10 13.59 21 8.49% Counts Mar 16th College Mens Centex Tier 1
40 Illinois Loss 9-12 -26.52 18 8.49% Counts Mar 17th College Mens Centex Tier 1
**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.