(9) #200 California-San Diego-C (2-15)

371.12 (226)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
106 Arizona State** Loss 1-13 0 200 0% Ignored (Why) Feb 1st Presidents Day Qualifiers 2025
14 Cal Poly-SLO** Loss 0-13 0 77 0% Ignored (Why) Feb 1st Presidents Day Qualifiers 2025
39 California** Loss 0-13 0 106 0% Ignored (Why) Feb 1st Presidents Day Qualifiers 2025
53 California-Irvine** Loss 1-13 0 185 0% Ignored (Why) Feb 1st Presidents Day Qualifiers 2025
106 Arizona State** Loss 1-13 0 200 0% Ignored (Why) Feb 2nd Presidents Day Qualifiers 2025
182 Cal State-Long Beach Loss 3-7 -37.28 218 8.71% Counts (Why) Feb 2nd Presidents Day Qualifiers 2025
153 UCLA-B Loss 2-10 -15.67 219 10.49% Counts (Why) Feb 2nd Presidents Day Qualifiers 2025
182 Cal State-Long Beach Loss 5-7 -16.23 218 12.03% Counts Mar 2nd Claremont Classic 2025
125 Claremont Loss 4-8 19.18 203 12.03% Counts Mar 2nd Claremont Classic 2025
153 UCLA-B Loss 2-5 -13.52 219 9.19% Counts (Why) Mar 2nd Claremont Classic 2025
222 Southern California-B Win 7-2 0.01 10.98% Counts (Why) Mar 2nd Claremont Classic 2025
182 Cal State-Long Beach Loss 3-7 -51.41 218 11.63% Counts (Why) Mar 8th Gnomageddon
53 California-Irvine** Loss 1-12 0 185 0% Ignored (Why) Mar 8th Gnomageddon
125 Claremont** Loss 1-7 0 203 0% Ignored (Why) Mar 8th Gnomageddon
182 Cal State-Long Beach Win 6-5 46.47 218 12.2% Counts Mar 9th Gnomageddon
78 San Diego State Loss 4-8 71.42 288 12.74% Counts Mar 9th Gnomageddon
125 Claremont** Loss 2-10 0 203 0% Ignored (Why) Mar 9th Gnomageddon
**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.