(4) #67 Nevada-Reno (11-6)

1439.92 (41)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
148 Cal Poly-SLO-B Win 11-1 2.87 45 6.53% Counts (Why) Feb 17th Santa Clara University Presidents Day
88 California-Irvine Win 9-8 -0.41 56 6.73% Counts Feb 17th Santa Clara University Presidents Day
131 Occidental Win 13-3 13.4 6 7.12% Counts (Why) Feb 17th Santa Clara University Presidents Day
79 San Diego State Loss 7-9 -25.08 28 6.53% Counts Feb 18th Santa Clara University Presidents Day
184 California-Davis-B Win 8-4 -16.72 82 5.66% Counts (Why) Feb 18th Santa Clara University Presidents Day
88 California-Irvine Win 7-6 -0.35 56 5.89% Counts Feb 18th Santa Clara University Presidents Day
60 Utah State Loss 4-7 -29.39 8 6.44% Counts Mar 9th Big Sky Brawl 2024
116 Montana Win 11-3 22.98 72 7.77% Counts (Why) Mar 9th Big Sky Brawl 2024
171 Montana State** Win 6-2 0 3 0% Ignored (Why) Mar 9th Big Sky Brawl 2024
187 Colorado Mines** Win 8-2 0 9 0% Ignored (Why) Mar 10th Big Sky Brawl 2024
60 Utah State Loss 5-7 -18.67 8 6.73% Counts Mar 10th Big Sky Brawl 2024
116 Montana Win 8-4 17.15 72 6.73% Counts (Why) Mar 10th Big Sky Brawl 2024
5 Stanford** Loss 3-15 0 39 0% Ignored (Why) Apr 13th NorCal D I Womens Conferences 2024
28 California Loss 4-15 -23.36 28 11.3% Counts (Why) Apr 13th NorCal D I Womens Conferences 2024
72 Santa Clara Win 11-10 10.43 61 11.3% Counts Apr 14th NorCal D I Womens Conferences 2024
248 Cal Poly-Humboldt** Win 13-0 0 39 0% Ignored (Why) Apr 14th NorCal D I Womens Conferences 2024
17 California-Santa Cruz Loss 9-11 49.58 102 11.3% Counts Apr 14th NorCal D I Womens Conferences 2024
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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.