(4) #46 Stanford (23-21)

1765.36 (148)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
13 California Loss 7-12 -2.9 134 1.57% Counts Jan 25th Santa Barbara Invite 2025
42 Colorado State Win 11-10 2.3 223 1.57% Counts Jan 25th Santa Barbara Invite 2025
25 Victoria Loss 8-9 1.03 110 1.48% Counts Jan 25th Santa Barbara Invite 2025
24 Utah Valley Loss 7-10 -2.8 217 1.48% Counts Jan 26th Santa Barbara Invite 2025
91 Cal Poly-CCWR Win 13-12 -2.48 209 1.66% Counts Feb 1st Pres Day Quals men
279 California-B** Win 13-4 0 218 0% Ignored (Why) Feb 1st Pres Day Quals men
173 California-Davis Win 13-7 -0.43 237 1.66% Counts (Why) Feb 1st Pres Day Quals men
119 Cal Poly-SLO-B Win 11-9 -2.51 77 1.66% Counts Feb 2nd Pres Day Quals men
65 Grand Canyon Win 13-3 8.09 144 1.66% Counts (Why) Feb 2nd Pres Day Quals men
127 Santa Clara Win 13-5 2.97 265 1.66% Counts (Why) Feb 2nd Pres Day Quals men
5 Colorado Loss 6-13 -0.12 126 1.86% Counts (Why) Feb 15th Presidents Day Invite 2025
54 UCLA Win 11-7 7.48 169 1.81% Counts Feb 15th Presidents Day Invite 2025
8 Washington Loss 8-12 0.19 100 1.86% Counts Feb 15th Presidents Day Invite 2025
6 Cal Poly-SLO Loss 7-13 -1.04 140 1.86% Counts Feb 16th Presidents Day Invite 2025
41 California-San Diego Win 11-10 2.88 171 1.86% Counts Feb 16th Presidents Day Invite 2025
11 Oregon State Loss 7-13 -3.55 154 1.86% Counts Feb 16th Presidents Day Invite 2025
42 Colorado State Win 13-9 8.31 223 1.86% Counts Feb 17th Presidents Day Invite 2025
34 Utah Loss 8-11 -5.52 45 1.86% Counts Feb 17th Presidents Day Invite 2025
10 British Columbia Loss 9-12 0.93 180 2.21% Counts Mar 8th Stanford Invite 2025 Mens
31 California-Santa Barbara Win 13-12 5.01 201 2.21% Counts Mar 8th Stanford Invite 2025 Mens
121 Northwestern Win 13-8 2.13 290 2.21% Counts Mar 8th Stanford Invite 2025 Mens
127 Santa Clara Win 13-6 3.99 265 2.21% Counts (Why) Mar 8th Stanford Invite 2025 Mens
41 California-San Diego Loss 10-11 -2.22 171 2.21% Counts Mar 9th Stanford Invite 2025 Mens
9 California-Santa Cruz Loss 6-13 -4.08 164 2.21% Counts (Why) Mar 9th Stanford Invite 2025 Mens
45 Virginia Tech Win 9-7 6 163 2.03% Counts Mar 9th Stanford Invite 2025 Mens
49 Chicago Loss 6-8 -7.33 94 2.26% Counts Mar 29th Huck Finn 2025
15 Davenport Loss 6-14 -8.27 79 2.63% Counts (Why) Mar 29th Huck Finn 2025
56 Indiana Win 14-11 6.13 236 2.63% Counts Mar 29th Huck Finn 2025
77 Ohio State Win 13-6 11.43 268 2.63% Counts (Why) Mar 29th Huck Finn 2025
49 Chicago Loss 8-10 -7.35 94 2.56% Counts Mar 30th Huck Finn 2025
42 Colorado State Win 9-8 3.69 223 2.49% Counts Mar 30th Huck Finn 2025
15 Davenport Loss 6-13 -8.27 79 2.63% Counts (Why) Mar 30th Huck Finn 2025
200 Cal Poly-Humboldt Win 12-8 -7.9 128 2.95% Counts Apr 12th NorCal D I Mens Conferences 2025
173 California-Davis Win 14-7 0 237 2.95% Counts (Why) Apr 12th NorCal D I Mens Conferences 2025
9 California-Santa Cruz Loss 7-13 -4.19 164 2.95% Counts Apr 12th NorCal D I Mens Conferences 2025
13 California Loss 12-14 3.57 134 2.95% Counts Apr 13th NorCal D I Mens Conferences 2025
13 California Loss 10-15 -3.51 134 2.95% Counts Apr 13th NorCal D I Mens Conferences 2025
127 Santa Clara Win 15-7 5.37 265 2.95% Counts (Why) Apr 13th NorCal D I Mens Conferences 2025
120 Arizona State Win 15-7 6.88 241 3.32% Counts (Why) Apr 26th Southwest D I College Mens Regionals 2025
13 California Loss 7-15 -8.98 134 3.32% Counts (Why) Apr 26th Southwest D I College Mens Regionals 2025
31 California-Santa Barbara Loss 9-13 -11.05 201 3.32% Counts Apr 26th Southwest D I College Mens Regionals 2025
84 Southern California Win 15-14 -4.15 202 3.32% Counts Apr 26th Southwest D I College Mens Regionals 2025
65 Grand Canyon Win 15-5 16.45 144 3.32% Counts (Why) Apr 27th Southwest D I College Mens Regionals 2025
54 UCLA Loss 12-13 -6.39 169 3.32% Counts Apr 27th Southwest D I College Mens Regionals 2025
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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.