(14) #104 British Columbia -B (11-11)

1451.5 (265)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
340 Stanford-B** Win 13-2 0 246 0% Ignored (Why) Feb 8th Stanford Open Mens
255 Santa Clara-B Win 12-4 0.43 243 4.06% Counts (Why) Feb 8th Stanford Open Mens
250 Portland Win 12-4 1.36 218 4.06% Counts (Why) Feb 8th Stanford Open Mens
261 Nevada-Reno** Win 13-3 0 88 0% Ignored (Why) Feb 9th Stanford Open Mens
124 San Jose State Win 7-5 8.19 152 3.36% Counts Feb 9th Stanford Open Mens
119 Cal Poly-SLO-B Win 11-9 7.28 77 4.23% Counts Feb 9th Stanford Open Mens
6 Cal Poly-SLO** Loss 5-13 0 140 0% Ignored (Why) Mar 8th Stanford Invite 2025 Mens
41 California-San Diego Loss 9-13 -4.37 171 5.33% Counts Mar 8th Stanford Invite 2025 Mens
43 Whitman Loss 10-13 0.22 235 5.33% Counts Mar 8th Stanford Invite 2025 Mens
54 UCLA Loss 7-13 -17.16 169 5.33% Counts Mar 9th Stanford Invite 2025 Mens
143 Wisconsin-Milwaukee Loss 10-13 -27.63 142 5.33% Counts Mar 9th Stanford Invite 2025 Mens
250 Portland Win 15-3 2.18 218 6.33% Counts (Why) Mar 29th Northwest Challenge D3
83 Simon Fraser Loss 12-14 -8.8 372 6.33% Counts Mar 29th Northwest Challenge D3
157 Washington-B Win 15-7 26.28 258 6.33% Counts (Why) Mar 30th Northwest Challenge D3
83 Simon Fraser Loss 10-12 -9.96 372 6.33% Counts Mar 30th Northwest Challenge D3
10 British Columbia** Loss 5-13 0 180 0% Ignored (Why) Apr 19th Cascadia D I Mens Conferences 2025
23 Western Washington Loss 8-13 3.31 138 7.53% Counts Apr 19th Cascadia D I Mens Conferences 2025
8 Washington** Loss 4-13 0 100 0% Ignored (Why) Apr 19th Cascadia D I Mens Conferences 2025
246 Oregon State-B Win 13-3 3.77 34 7.53% Counts (Why) Apr 19th Cascadia D I Mens Conferences 2025
224 Oregon-B Win 15-10 -1.75 124 7.53% Counts Apr 20th Cascadia D I Mens Conferences 2025
157 Washington-B Win 14-10 15.27 258 7.53% Counts Apr 20th Cascadia D I Mens Conferences 2025
23 Western Washington Loss 9-15 1.73 138 7.53% Counts Apr 20th Cascadia D I Mens Conferences 2025
**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.