(15) #66 St Olaf (9-9)

1623.78 (81)

#79#60#67#52#51#66
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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
177 Colorado Mines** Win 12-3 0 27 0% Ignored (Why) Feb 22nd Dust Bowl 2025
228 John Brown** Win 12-2 0 34 0% Ignored (Why) Feb 22nd Dust Bowl 2025
120 Kansas Win 12-3 9.82 46 6.18% Counts (Why) Feb 22nd Dust Bowl 2025
52 Washington University Loss 4-6 -12.31 104 4.67% Counts Feb 23rd Dust Bowl 2025
45 Missouri Loss 5-6 4.33 136 5.19% Counts Mar 1st Midwest Throwdown 2025
123 Northwestern Win 7-3 6.19 191 4.95% Counts (Why) Mar 1st Midwest Throwdown 2025
52 Washington University Loss 3-10 -30.79 104 5.96% Counts (Why) Mar 1st Midwest Throwdown 2025
148 Wisconsin-La Crosse** Win 13-2 0 90 0% Ignored (Why) Mar 1st Midwest Throwdown 2025
97 Iowa State Win 8-4 15.52 39 5.43% Counts (Why) Mar 2nd Midwest Throwdown 2025
84 Macalester Win 10-6 20.39 256 6.26% Counts (Why) Mar 2nd Midwest Throwdown 2025
52 Washington University Loss 6-12 -33.08 104 6.64% Counts Mar 2nd Midwest Throwdown 2025
38 Duke Loss 9-10 13.36 74 8.6% Counts Mar 29th East Coast Invite 2025
40 Haverford/Bryn Mawr Loss 7-10 -15.06 181 8.14% Counts Mar 29th East Coast Invite 2025
47 Wesleyan Loss 11-14 -10.93 10 8.6% Counts Mar 29th East Coast Invite 2025
112 West Chester Win 14-6 17.87 93 8.6% Counts (Why) Mar 29th East Coast Invite 2025
37 American Loss 2-5 -18.01 20 5.22% Counts (Why) Mar 30th East Coast Invite 2025
31 Pittsburgh Loss 7-8 21.99 65 7.64% Counts Mar 30th East Coast Invite 2025
106 Temple Win 10-6 11.55 148 7.89% Counts (Why) Mar 30th East Coast Invite 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.