(2) #52 Oregon State (15-9)

1464.09 (251)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
63 British Columbia-B Win 8-7 -0.3 413 3.56% Counts Feb 1st Stanford Open Womens
165 Cal Poly-SLO-B Win 13-7 -11.28 424 4% Counts (Why) Feb 1st Stanford Open Womens
46 Carleton College-Eclipse Win 9-8 8.1 407 3.79% Counts Feb 1st Stanford Open Womens
63 British Columbia-B Win 10-7 10.1 413 3.79% Counts Feb 2nd Stanford Open Womens
141 Stanford-B Win 8-5 -9.08 303 3.31% Counts (Why) Feb 2nd Stanford Open Womens
68 Santa Clara Loss 9-11 -17.23 287 4% Counts Feb 2nd Stanford Open Womens
76 Portland Win 9-7 1.49 403 3.67% Counts Feb 2nd Stanford Open Womens
73 Colorado College Win 10-6 12.18 287 3.89% Counts (Why) Feb 8th DIII Grand Prix 2025
66 Lewis & Clark Win 12-10 3.91 342 4.24% Counts Feb 8th DIII Grand Prix 2025
113 Puget Sound Win 12-5 4.47 202 4.07% Counts (Why) Feb 8th DIII Grand Prix 2025
42 Whitman Loss 7-13 -20.08 263 4.24% Counts Feb 8th DIII Grand Prix 2025
46 Carleton College-Eclipse Loss 10-12 -6.96 407 4.24% Counts Feb 9th DIII Grand Prix 2025
133 Claremont** Win 13-5 0 327 0% Ignored (Why) Feb 9th DIII Grand Prix 2025
76 Portland Loss 10-12 -21.17 403 4.24% Counts Feb 9th DIII Grand Prix 2025
219 Cal Poly-Humboldt** Win 13-2 0 287 0% Ignored (Why) Mar 8th PACcon
250 Lewis & Clark -B** Win 11-2 0 255 0% Ignored (Why) Mar 8th PACcon
18 Western Washington Loss 10-12 14.92 284 5.34% Counts Mar 8th PACcon
66 Lewis & Clark Win 11-10 -1.4 342 5.34% Counts Mar 9th PACcon
168 Pacific Lutheran Win 11-7 -20.69 174 5.2% Counts Mar 9th PACcon
18 Western Washington Loss 5-13 -5.5 284 5.34% Counts (Why) Mar 9th PACcon
6 Oregon Loss 11-14 30.01 524 6.35% Counts Apr 3rd Cascadia D I Womens Conferences 2025
63 British Columbia-B Win 12-8 23.66 413 7.13% Counts Apr 12th Cascadia D I Womens Conferences 2025
7 Washington Loss 8-15 12.32 338 7.13% Counts Apr 12th Cascadia D I Womens Conferences 2025
16 Victoria Loss 6-15 -6 385 7.13% Counts (Why) Apr 12th Cascadia D I Womens 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.