(2) #180 Brigham Young-B (6-13)

1194.94 (282)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
219 Arizona Loss 7-9 -18.37 280 4.17% Counts Jan 27th New Year Fest 40
156 Denver Loss 6-13 -23.77 99 4.55% Counts (Why) Jan 27th New Year Fest 40
137 Kansas Loss 6-10 -14.19 258 4.17% Counts Jan 27th New Year Fest 40
100 Colorado-B Loss 4-13 -13.41 247 4.55% Counts (Why) Jan 27th New Year Fest 40
119 Colorado College Loss 8-15 -22.73 272 6.07% Counts Mar 1st Snow Melt 2024
100 Colorado-B Win 12-10 35.98 247 6.07% Counts Mar 2nd Snow Melt 2024
149 Montana State Loss 6-13 -31.02 368 6.07% Counts (Why) Mar 2nd Snow Melt 2024
101 Colorado Mines Loss 8-10 3.42 143 5.91% Counts Mar 2nd Snow Melt 2024
371 Boise State** Win 10-0 0 260 0% Ignored (Why) Mar 9th Big Sky Brawl 2024
288 Montana Win 10-4 11.07 143 5.62% Counts (Why) Mar 9th Big Sky Brawl 2024
58 Utah Valley Loss 4-9 -3.23 205 5.32% Counts (Why) Mar 9th Big Sky Brawl 2024
328 Nevada-Reno Win 13-0 0.49 95 6.43% Counts (Why) Mar 9th Big Sky Brawl 2024
29 Utah Loss 7-13 16.12 270 7.65% Counts Mar 29th Utah Valley Rally
29 Utah Loss 7-13 16.12 270 7.65% Counts Mar 30th Utah Valley Rally
32 Utah State** Loss 0-13 0 139 0% Ignored (Why) Mar 30th Utah Valley Rally
32 Utah State** Loss 5-15 0 139 0% Ignored (Why) Apr 13th Big Sky D I Mens Conferences 2024
58 Utah Valley Loss 5-15 -5.39 205 8.59% Counts (Why) Apr 13th Big Sky D I Mens Conferences 2024
321 Idaho Win 15-7 4.25 235 8.59% Counts (Why) Apr 13th Big Sky D I Mens Conferences 2024
160 Washington State Win 13-9 47.67 330 8.59% Counts Apr 13th Big Sky D I Mens Conferences 2024
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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.