() #8 Brigham Young (18-2) NW 3

2070.56 (13)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
33 California-Santa Barbara Win 13-7 6.76 5 4.37% Counts (Why) Jan 24th Santa Barbara Invite 2025
6 Cal Poly-SLO Win 13-11 13.06 18 4.37% Counts Jan 24th Santa Barbara Invite 2025
57 Illinois Win 13-8 -2.7 44 4.37% Counts Jan 25th Santa Barbara Invite 2025
7 Washington Loss 10-13 -12.91 4 4.37% Counts Jan 25th Santa Barbara Invite 2025
33 California-Santa Barbara Win 13-7 6.76 5 4.37% Counts (Why) Jan 25th Santa Barbara Invite 2025
50 Colorado State Win 13-5 4.16 35 4.37% Counts (Why) Jan 25th Santa Barbara Invite 2025
31 Minnesota Win 13-7 9.73 33 4.63% Counts (Why) Jan 31st Florida Warm Up 2025
15 Washington University Win 13-10 10.16 70 4.63% Counts Jan 31st Florida Warm Up 2025
51 Purdue Win 13-7 2.08 185 4.63% Counts (Why) Jan 31st Florida Warm Up 2025
28 Pittsburgh Win 10-7 3.84 11 4.38% Counts Jan 31st Florida Warm Up 2025
44 Emory Win 13-8 1.64 42 4.63% Counts Feb 1st Florida Warm Up 2025
62 Tulane Win 13-8 -5.44 4 4.63% Counts Feb 1st Florida Warm Up 2025
20 Vermont Win 13-7 16.75 36 4.63% Counts (Why) Feb 1st Florida Warm Up 2025
119 Central Florida** Win 13-3 0 42 0% Ignored (Why) Feb 1st Florida Warm Up 2025
22 Western Washington Win 14-13 -7.13 13 6.94% Counts Mar 21st Northwest Challenge 2025 mens
10 Oregon State Win 15-14 2.69 9 6.94% Counts Mar 21st Northwest Challenge 2025 mens
7 Washington Loss 12-15 -19 4 6.94% Counts Mar 21st Northwest Challenge 2025 mens
33 California-Santa Barbara Win 15-11 -2.12 5 6.94% Counts Mar 22nd Northwest Challenge 2025 mens
109 Gonzaga Win 15-11 -35.16 34 6.94% Counts Mar 22nd Northwest Challenge 2025 mens
40 Wisconsin Win 15-9 5.44 19 6.94% Counts Mar 22nd 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.