(1) #211 San Diego State (10-13)

1080.14 (309)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
352 Cal Poly-SLO-C Win 11-6 -1.12 239 3.15% Counts (Why) Jan 20th Pres Day Quals
230 California-Davis Loss 8-11 -14.83 167 3.33% Counts Jan 20th Pres Day Quals
334 California-Santa Barbara-B Win 11-8 -4.59 179 3.33% Counts Jan 20th Pres Day Quals
121 Cal Poly-SLO-B Loss 1-13 -9.61 367 3.33% Counts (Why) Jan 21st Pres Day Quals
158 UCLA-B Loss 6-11 -10.99 317 3.15% Counts Jan 21st Pres Day Quals
192 Loyola Marymount Loss 5-9 -13.34 46 2.86% Counts Jan 21st Pres Day Quals
229 Baylor Win 7-5 11.05 280 3.97% Counts Mar 9th Centex Tier 2 2024
128 Houston Loss 6-13 -15.33 281 4.99% Counts (Why) Mar 9th Centex Tier 2 2024
258 North Texas Win 9-8 -1.88 263 4.72% Counts Mar 9th Centex Tier 2 2024
190 Texas-Dallas Win 9-6 23.05 400 4.43% Counts Mar 9th Centex Tier 2 2024
63 Iowa Loss 8-15 2.19 349 4.99% Counts Mar 10th Centex Tier 2 2024
197 Texas State Win 15-14 9.18 415 4.99% Counts Mar 10th Centex Tier 2 2024
109 Tarleton State Loss 13-15 9.1 181 4.99% Counts Mar 10th Centex Tier 2 2024
350 Arizona State-B Win 13-6 1.86 209 5.6% Counts (Why) Mar 24th Southwest Showdown 2024
255 Cal State-Long Beach Loss 8-11 -31.04 201 5.6% Counts Mar 24th Southwest Showdown 2024
235 Claremont Win 12-5 29.27 292 5.38% Counts (Why) Mar 24th Southwest Showdown 2024
192 Loyola Marymount Loss 7-13 -28.59 46 5.6% Counts Mar 24th Southwest Showdown 2024
255 Cal State-Long Beach Win 11-6 26.19 201 6.3% Counts (Why) Apr 13th SoCal D I Mens Conferences 2024
60 California-Santa Barbara** Loss 5-12 0 246 0% Ignored (Why) Apr 13th SoCal D I Mens Conferences 2024
24 UCLA** Loss 4-13 0 212 0% Ignored (Why) Apr 13th SoCal D I Mens Conferences 2024
113 Southern California Loss 6-12 -14.24 269 6.48% Counts Apr 13th SoCal D I Mens Conferences 2024
125 California-Irvine Loss 8-10 3.41 283 6.48% Counts Apr 14th SoCal D I Mens Conferences 2024
192 Loyola Marymount Win 10-7 31.3 46 6.3% Counts Apr 14th SoCal D I Mens Conferences 2024
**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.