() #133 Claremont (11-10)

811.23 (12)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
46 Carleton College-Eclipse** Loss 2-12 0 6 0% Ignored (Why) Feb 8th DIII Grand Prix 2025
48 Whitman Loss 5-11 4.98 63 5.05% Counts (Why) Feb 8th DIII Grand Prix 2025
79 Portland Loss 4-11 -10.87 17 5.05% Counts (Why) Feb 8th DIII Grand Prix 2025
67 Lewis & Clark Loss 9-11 13.81 16 5.5% Counts Feb 9th DIII Grand Prix 2025
116 Puget Sound Win 10-8 22.35 26 5.35% Counts Feb 9th DIII Grand Prix 2025
73 Colorado College Loss 2-13 -8.79 9 5.5% Counts (Why) Feb 9th DIII Grand Prix 2025
52 Oregon State** Loss 5-13 0 8 0% Ignored (Why) Feb 9th DIII Grand Prix 2025
82 California-Irvine Loss 4-9 -12.64 5 5.41% Counts (Why) Mar 2nd Claremont Classic 2025
123 California-San Diego-B Loss 5-7 -12.55 5 5.2% Counts Mar 2nd Claremont Classic 2025
249 California-San Diego-C Win 8-4 -14.93 6 5.2% Counts (Why) Mar 2nd Claremont Classic 2025
262 Southern California-B** Win 13-0 0 6 0% Ignored (Why) Mar 2nd Claremont Classic 2025
220 Cal State-Long Beach Win 7-1 0.25 7 5.03% Counts (Why) Mar 8th Gnomageddon
82 California-Irvine Loss 4-10 -14.24 5 6.05% Counts (Why) Mar 8th Gnomageddon
123 California-San Diego-B Loss 3-8 -28.53 5 5.39% Counts (Why) Mar 8th Gnomageddon
249 California-San Diego-C** Win 7-1 0 6 0% Ignored (Why) Mar 8th Gnomageddon
249 California-San Diego-C** Win 10-2 0 6 0% Ignored (Why) Mar 9th Gnomageddon
222 California-Santa Barbara-B Win 6-4 -12.65 8 5.03% Counts (Why) Mar 9th Gnomageddon
178 Nevada-Reno Win 13-2 30.94 8 8.24% Counts (Why) Mar 29th Sinvite 2025
183 Occidental Win 13-6 28.23 9 8.24% Counts (Why) Mar 29th Sinvite 2025
183 Occidental Win 9-8 -17.49 9 9.82% Counts Apr 26th Southwest D III Womens Conferences 2025
183 Occidental Win 12-5 34.79 9 9.96% Counts (Why) Apr 26th Southwest D III 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.