(1) #12 British Columbia (11-6) NW 5

1971.97 (11)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
91 Cal Poly-SLO-B** Win 13-2 0 24 0% Ignored (Why) Jan 25th Santa Barbara Invite 2025
23 Victoria Win 11-7 20.4 12 5.61% Counts Jan 25th Santa Barbara Invite 2025
9 California-Santa Cruz Win 11-10 10.65 0 5.76% Counts Jan 26th Santa Barbara Invite 2025
14 California Loss 4-12 -35.28 5 5.53% Counts (Why) Jan 26th Santa Barbara Invite 2025
7 Washington Loss 5-8 -15.49 4 4.77% Counts Jan 26th Santa Barbara Invite 2025
141 Northwestern** Win 13-3 0 46 0% Ignored (Why) Mar 8th Stanford Invite 2025 Mens
140 Santa Clara** Win 13-2 0 54 0% Ignored (Why) Mar 8th Stanford Invite 2025 Mens
42 Stanford Win 12-9 -0.82 27 8.15% Counts Mar 8th Stanford Invite 2025 Mens
43 Virginia Tech Win 13-8 12.1 19 8.15% Counts Mar 9th Stanford Invite 2025 Mens
22 Western Washington Loss 10-11 -21.91 13 8.15% Counts Mar 9th Stanford Invite 2025 Mens
6 Cal Poly-SLO Loss 11-12 2.72 18 8.15% Counts Mar 9th Stanford Invite 2025 Mens
38 Utah State Win 16-9 20.88 44 9.15% Counts (Why) Mar 22nd Northwest Challenge 2025 mens
9 California-Santa Cruz Loss 14-17 -23.17 0 9.15% Counts Mar 22nd Northwest Challenge 2025 mens
109 Gonzaga** Win 15-5 0 34 0% Ignored (Why) Mar 22nd Northwest Challenge 2025 mens
7 Washington Loss 14-15 1.93 4 9.15% Counts Mar 23rd Northwest Challenge 2025 mens
38 Utah State Win 15-10 11.5 44 9.15% Counts Mar 23rd Northwest Challenge 2025 mens
9 California-Santa Cruz Win 13-12 17.54 0 9.15% Counts Mar 23rd Northwest Challenge 2025 mens
**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.