(2) #34 St. Olaf (19-1)

1535.28 (21)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
94 Princeton Win 13-10 -0.9 37 4.74% Counts Mar 26th Rodeo
87 Richmond Win 9-8 -8.88 26 4.48% Counts Mar 26th Rodeo
121 Tennessee-Chattanooga Win 13-8 2.05 29 4.74% Counts Mar 26th Rodeo
215 North Carolina-B** Win 12-3 0 34 0% Ignored (Why) Mar 26th Rodeo
35 Middlebury Win 13-12 5.98 60 4.74% Counts Mar 27th Rodeo
94 Princeton Win 12-9 -0.04 37 4.74% Counts Mar 27th Rodeo
272 Winona State Win 13-8 -33.28 8 5.64% Counts Apr 16th Northwoods D III College Mens CC 2022
253 St. Thomas** Win 13-4 0 14 0% Ignored (Why) Apr 16th Northwoods D III College Mens CC 2022
90 Carleton College-CHOP Win 13-6 15.83 7 5.64% Counts (Why) Apr 16th Northwoods D III College Mens CC 2022
163 Michigan Tech** Win 13-3 0 14 0% Ignored (Why) May 7th North Central D III College Mens Regionals 2022
253 St. Thomas** Win 13-3 0 14 0% Ignored (Why) May 7th North Central D III College Mens Regionals 2022
155 Grinnell Win 13-4 1.02 33 6.71% Counts (Why) May 7th North Central D III College Mens Regionals 2022
90 Carleton College-CHOP Win 13-3 19.04 7 6.71% Counts (Why) May 7th North Central D III College Mens Regionals 2022
155 Grinnell Win 15-4 1.02 33 6.71% Counts (Why) May 8th North Central D III College Mens Regionals 2022
146 Brandeis Win 15-4 2.15 153 7.53% Counts (Why) May 21st 2022 D III College Championships
147 Grace Win 15-7 2.14 47 7.53% Counts (Why) May 21st 2022 D III College Championships
99 Oberlin Win 15-13 -13.12 115 7.53% Counts May 21st 2022 D III College Championships
128 Scranton Win 15-4 9.6 17 7.53% Counts (Why) May 22nd 2022 D III College Championships
50 Berry Win 15-11 24.07 19 7.53% Counts May 22nd 2022 D III College Championships
31 Oklahoma Christian Loss 11-15 -26.43 26 7.53% Counts May 23rd 2022 D III College Championships
**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.