(1) #262 Nevada-Reno (8-9)

822.12 (10)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
120 Cal Poly-SLO-B Loss 6-13 -4.01 19 5.14% Counts (Why) Feb 8th Stanford Open Mens
333 Cal State-Long Beach Win 11-5 17.01 17 4.72% Counts (Why) Feb 8th Stanford Open Mens
108 British Columbia -B Loss 3-13 -0.17 32 5.14% Counts (Why) Feb 9th Stanford Open Mens
202 Cal Poly-Humboldt Loss 8-11 -7.63 18 5.14% Counts Feb 9th Stanford Open Mens
251 Portland Win 9-7 15.91 20 4.72% Counts Feb 9th Stanford Open Mens
367 Boise State Win 9-5 3.06 2 5.25% Counts (Why) Mar 1st Big Sky Brawl 2025
286 Montana Win 12-11 3.39 13 6.11% Counts Mar 1st Big Sky Brawl 2025
286 Montana Loss 4-9 -35.85 13 5.06% Counts (Why) Mar 1st Big Sky Brawl 2025
367 Boise State Win 10-4 7.12 2 5.34% Counts (Why) Mar 2nd Big Sky Brawl 2025
367 Boise State Win 12-6 6.68 2 5.95% Counts (Why) Mar 2nd Big Sky Brawl 2025
286 Montana Win 10-6 25.16 13 5.61% Counts (Why) Mar 2nd Big Sky Brawl 2025
12 California** Loss 3-15 0 26 0% Ignored (Why) Apr 12th NorCal D I Mens Conferences 2025
279 Chico State Loss 7-9 -28.87 18 7.94% Counts Apr 12th NorCal D I Mens Conferences 2025
131 Santa Clara Loss 7-13 -5.45 20 8.65% Counts Apr 12th NorCal D I Mens Conferences 2025
126 San Jose State Loss 5-15 -7.76 19 8.65% Counts (Why) Apr 12th NorCal D I Mens Conferences 2025
202 Cal Poly-Humboldt Win 10-9 33.12 18 8.65% Counts Apr 13th NorCal D I Mens Conferences 2025
175 California-Davis Loss 3-11 -22.36 20 7.94% Counts (Why) Apr 13th NorCal 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.