(10) #68 Santa Clara (10-6)

1587.55 (62)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
65 Portland Loss 5-9 -30.03 22 5.78% Counts Feb 1st Stanford Open Womens
135 Stanford-B Win 13-3 4.36 66 6.73% Counts (Why) Feb 1st Stanford Open Womens
137 California-B Win 13-0 3.19 92 6.73% Counts (Why) Feb 2nd Stanford Open Womens
35 Carleton College-Eclipse Win 7-5 39.14 23 5.35% Counts Feb 2nd Stanford Open Womens
54 Oregon State Win 11-9 27.22 26 6.73% Counts Feb 2nd Stanford Open Womens
206 Cal Poly-Humboldt Win 13-6 -38.47 83 7.56% Counts (Why) Feb 15th Santa Clara University WLT Tournament
137 California-B Win 10-6 -4.45 92 6.93% Counts (Why) Feb 15th Santa Clara University WLT Tournament
171 Nevada-Reno Win 12-7 -21.49 140 7.56% Counts (Why) Feb 15th Santa Clara University WLT Tournament
169 California-Davis-B Win 13-6 -14.72 125 7.56% Counts (Why) Feb 16th Santa Clara University WLT Tournament
63 California-Irvine Loss 9-10 -5.71 30 7.56% Counts Feb 16th Santa Clara University WLT Tournament
154 Occidental** Win 13-5 0 237 0% Ignored (Why) Feb 16th Santa Clara University WLT Tournament
16 California-Davis** Loss 3-12 0 10 0% Ignored (Why) Mar 1st Stanford Invite 2025 Womens
12 California-Santa Cruz Loss 7-13 30.77 25 8.48% Counts Mar 1st Stanford Invite 2025 Womens
27 Northeastern Loss 7-13 -4.86 184 8.48% Counts Mar 1st Stanford Invite 2025 Womens
58 Brown Win 8-7 16.7 157 7.54% Counts Mar 2nd Stanford Invite 2025 Womens
31 Pittsburgh Loss 5-8 -2.01 65 7.02% Counts Mar 2nd Stanford Invite 2025 Womens
**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.