(6) #111 San Jose State (15-7)

1206.71 (86)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
175 Cal Poly-Humboldt Win 13-3 13.92 64 4.05% Counts (Why) Feb 8th Stanford Open Mens
262 California-B Win 11-7 -7.43 22 3.94% Counts Feb 8th Stanford Open Mens
118 British Columbia -B Loss 5-7 -11.61 4 3.22% Counts Feb 9th Stanford Open Mens
137 California-Santa Cruz-B Win 10-9 0.52 39 4.05% Counts Feb 9th Stanford Open Mens
106 San Diego State Loss 7-10 -14.6 42 3.83% Counts Feb 9th Stanford Open Mens
114 California-Irvine Loss 7-10 -16.89 10 4.06% Counts Feb 15th Vice Presidents Day Invite 2025
58 Grand Canyon Loss 7-12 -10.16 8 4.29% Counts Feb 15th Vice Presidents Day Invite 2025
85 Southern California Loss 9-10 -0.65 140 4.29% Counts Feb 15th Vice Presidents Day Invite 2025
181 Arizona Win 11-7 7.2 26 4.18% Counts Feb 16th Vice Presidents Day Invite 2025
129 Arizona State Win 9-8 1.82 8 4.06% Counts Feb 16th Vice Presidents Day Invite 2025
175 Cal Poly-Humboldt Win 11-7 10.92 64 5.26% Counts Mar 15th Silicon Valley Rally 2025
262 California-B Win 10-6 -7.92 22 4.96% Counts (Why) Mar 15th Silicon Valley Rally 2025
137 California-Santa Cruz-B Win 9-8 0.67 39 5.12% Counts Mar 15th Silicon Valley Rally 2025
266 Chico State Win 12-7 -7.93 35 5.41% Counts (Why) Mar 15th Silicon Valley Rally 2025
175 Cal Poly-Humboldt Win 10-7 6.43 64 5.12% Counts Mar 16th Silicon Valley Rally 2025
137 California-Santa Cruz-B Loss 7-8 -11.99 39 4.81% Counts Mar 16th Silicon Valley Rally 2025
280 California-Santa Barbara-B** Win 13-2 0 264 0% Ignored (Why) Mar 29th Southwest Showdown 2025
106 San Diego State Win 9-8 9.04 42 5.74% Counts Mar 29th Southwest Showdown 2025
208 UCLA-B Win 9-6 -1.3 107 5.39% Counts Mar 29th Southwest Showdown 2025
95 Claremont Loss 10-11 -3.62 217 6.07% Counts Mar 30th Southwest Showdown 2025
106 San Diego State Win 13-11 16.3 42 6.07% Counts Mar 30th Southwest Showdown 2025
85 Southern California Win 13-10 28.34 140 6.07% Counts Mar 30th Southwest Showdown 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.