(29) #137 Montana State (8-10)

1305.33 (94)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
357 Colorado Mesa Win 13-6 -17.44 12 5.46% Counts (Why) Mar 1st Snow Melt 2025
391 Colorado Mines-B** Win 13-1 0 2 0% Ignored (Why) Mar 1st Snow Melt 2025
114 Denver Win 8-7 9.95 9 4.85% Counts Mar 1st Snow Melt 2025
36 Lewis & Clark Loss 5-13 -6.26 11 5.46% Counts (Why) Mar 1st Snow Melt 2025
89 Colorado College Loss 10-13 -8.57 12 5.46% Counts Mar 2nd Snow Melt 2025
117 Colorado Mines Loss 10-14 -19.7 9 5.46% Counts Mar 2nd Snow Melt 2025
259 Colorado State-B Win 15-10 -0.67 4 5.46% Counts Mar 2nd Snow Melt 2025
367 Boise State** Win 11-1 0 2 0% Ignored (Why) Apr 19th Big Sky D I Mens Conferences 2025
154 Brigham Young-B Loss 8-11 -38.02 1 8.19% Counts Apr 19th Big Sky D I Mens Conferences 2025
27 Utah Loss 8-11 20.73 63 8.19% Counts Apr 19th Big Sky D I Mens Conferences 2025
25 Utah Valley** Loss 4-11 0 25 0% Ignored (Why) Apr 19th Big Sky D I Mens Conferences 2025
135 Gonzaga Win 15-14 11.39 5 8.19% Counts Apr 20th Big Sky D I Mens Conferences 2025
286 Montana Win 13-9 -12.26 13 8.19% Counts Apr 20th Big Sky D I Mens Conferences 2025
27 Utah Loss 4-11 -0.15 63 7.51% Counts (Why) Apr 20th Big Sky D I Mens Conferences 2025
10 Washington** Loss 5-15 0 109 0% Ignored (Why) May 3rd Northwest D I College Mens Regionals 2025
24 Victoria Loss 10-15 19.34 9 9.19% Counts May 3rd Northwest D I College Mens Regionals 2025
38 Utah State Loss 8-15 -7.72 58 9.19% Counts May 3rd Northwest D I College Mens Regionals 2025
163 Washington-B Win 15-7 51.26 28 9.19% Counts (Why) May 4th Northwest D I College Mens Regionals 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.