(1) #116 Montana (7-11)

1112.89 (72)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
187 Colorado Mines Win 7-1 4.59 9 6.52% Counts (Why) Mar 9th Big Sky Brawl 2024
60 Utah State Loss 3-8 -15.32 8 6.99% Counts (Why) Mar 9th Big Sky Brawl 2024
67 Nevada-Reno Loss 3-11 -24.54 41 8.25% Counts (Why) Mar 9th Big Sky Brawl 2024
171 Montana State Win 7-5 -2.32 3 7.14% Counts Mar 10th Big Sky Brawl 2024
67 Nevada-Reno Loss 4-8 -18.29 41 7.14% Counts Mar 10th Big Sky Brawl 2024
171 Montana State Win 7-5 -2.32 3 7.14% Counts Mar 10th Big Sky Brawl 2024
171 Montana State Win 13-3 28.93 3 10.69% Counts (Why) Mar 30th Big Sky Slumber Party 2024
171 Montana State Win 10-8 -11.1 3 10.4% Counts Mar 30th Big Sky Slumber Party 2024
11 Brigham Young** Loss 2-13 0 63 0% Ignored (Why) Apr 13th Big Sky D I Womens Conferences 2024
25 Utah** Loss 3-13 0 36 0% Ignored (Why) Apr 13th Big Sky D I Womens Conferences 2024
60 Utah State Loss 6-11 -19.26 8 11.35% Counts Apr 13th Big Sky D I Womens Conferences 2024
171 Montana State Win 10-3 28.3 3 10.48% Counts (Why) Apr 13th Big Sky D I Womens Conferences 2024
11 Brigham Young** Loss 5-13 0 63 0% Ignored (Why) May 4th Northwest D I College Womens Regionals 2024
10 Washington** Loss 4-13 0 91 0% Ignored (Why) May 4th Northwest D I College Womens Regionals 2024
154 Oregon State Win 11-7 34.4 35 13.89% Counts May 4th Northwest D I College Womens Regionals 2024
4 Oregon** Loss 3-13 0 37 0% Ignored (Why) May 4th Northwest D I College Womens Regionals 2024
25 Utah** Loss 5-13 0 36 0% Ignored (Why) May 5th Northwest D I College Womens Regionals 2024
13 Victoria** Loss 2-13 0 32 0% Ignored (Why) May 5th Northwest D I College Womens Regionals 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.