(59) #192 Loyola Marymount (10-7)

1155.9 (46)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
221 California-B Win 11-4 27.8 222 5.34% Counts (Why) Jan 20th Pres Day Quals
396 California-San Diego-C** Win 13-2 0 58 0% Ignored (Why) Jan 20th Pres Day Quals
211 San Diego State Win 9-5 23.82 309 4.99% Counts (Why) Jan 21st Pres Day Quals
158 UCLA-B Win 10-7 30.44 317 5.5% Counts Jan 21st Pres Day Quals
230 California-Davis Loss 7-8 -16.35 167 5.8% Counts Feb 3rd Stanford Open 2024
344 Chico State** Win 13-2 0 222 0% Ignored (Why) Feb 3rd Stanford Open 2024
144 Santa Clara Loss 4-9 -23.96 343 5.4% Counts (Why) Feb 3rd Stanford Open 2024
328 Nevada-Reno Win 13-6 5 95 9.78% Counts (Why) Mar 24th Southwest Showdown 2024
339 Occidental Win 15-1 0.27 192 9.78% Counts (Why) Mar 24th Southwest Showdown 2024
211 San Diego State Win 13-7 52.23 309 9.78% Counts (Why) Mar 24th Southwest Showdown 2024
416 San Diego State-B** Win 15-3 0 266 0% Ignored (Why) Mar 24th Southwest Showdown 2024
5 Cal Poly-SLO** Loss 1-13 0 222 0% Ignored (Why) Apr 13th SoCal D I Mens Conferences 2024
125 California-Irvine Loss 7-10 -19 283 11% Counts Apr 13th SoCal D I Mens Conferences 2024
34 California-San Diego** Loss 5-12 0 341 0% Ignored (Why) Apr 13th SoCal D I Mens Conferences 2024
255 Cal State-Long Beach Win 8-6 7.47 201 9.99% Counts Apr 14th SoCal D I Mens Conferences 2024
211 San Diego State Loss 7-10 -57.54 309 11% Counts Apr 14th SoCal D I Mens Conferences 2024
113 Southern California Loss 7-13 -34.15 269 11.63% 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.