(3) #122 Claremont (9-10)

1150.79 (72)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
35 Carleton College-Eclipse** Loss 2-12 0 23 0% Ignored (Why) Feb 8th DIII Grand Prix 2025
44 Whitman Loss 5-11 5.01 8 5.89% Counts (Why) Feb 8th DIII Grand Prix 2025
65 Portland Loss 4-11 -7.75 22 5.89% Counts (Why) Feb 8th DIII Grand Prix 2025
61 Lewis & Clark Loss 9-11 17.58 13 6.42% Counts Feb 9th DIII Grand Prix 2025
121 Puget Sound Win 10-8 18.89 17 6.24% Counts Feb 9th DIII Grand Prix 2025
72 Colorado College Loss 2-13 -13.34 30 6.42% Counts (Why) Feb 9th DIII Grand Prix 2025
54 Oregon State Loss 5-13 -2.42 26 6.42% Counts (Why) Feb 9th DIII Grand Prix 2025
63 California-Irvine Loss 4-9 -7.28 30 6.31% Counts (Why) Mar 2nd Claremont Classic 2025
104 California-San Diego-B Loss 5-7 -13.69 1 6.06% Counts Mar 2nd Claremont Classic 2025
220 California-San Diego-C Win 8-4 -13.01 11 6.06% Counts (Why) Mar 2nd Claremont Classic 2025
243 Southern California-B** Win 13-0 0 11 0% Ignored (Why) Mar 2nd Claremont Classic 2025
194 Cal State-Long Beach Win 7-1 2.79 13 5.86% Counts (Why) Mar 8th Gnomageddon
63 California-Irvine Loss 4-10 -8.21 30 7.06% Counts (Why) Mar 8th Gnomageddon
104 California-San Diego-B Loss 3-8 -32.47 1 6.29% Counts (Why) Mar 8th Gnomageddon
220 California-San Diego-C** Win 7-1 0 11 0% Ignored (Why) Mar 8th Gnomageddon
220 California-San Diego-C** Win 10-2 0 11 0% Ignored (Why) Mar 9th Gnomageddon
199 California-Santa Barbara-B Win 6-4 -13.26 26 5.86% Counts (Why) Mar 9th Gnomageddon
171 Nevada-Reno Win 13-2 26.94 140 9.61% Counts (Why) Mar 29th Sinvite 2025
154 Occidental Win 13-6 42.69 237 9.61% Counts (Why) Mar 29th Sinvite 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.