(6) #64 St. Olaf (19-6)

1568 (28)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
142 Carleton College-CHOP Win 9-7 -3.59 14 3.3% Counts Feb 11th Ugly Dome
183 Minnesota-B Loss 7-13 -41.61 18 3.6% Counts Feb 11th Ugly Dome
321 Minnesota-C** Win 13-2 0 10 0% Ignored (Why) Feb 11th Ugly Dome
210 Wisconsin-Eau Claire Win 12-7 -5.64 35 3.6% Counts (Why) Feb 11th Ugly Dome
294 Winona State** Win 13-4 0 15 0% Ignored (Why) Feb 11th Ugly Dome
318 Carleton College-Karls-C** Win 13-1 0 174 0% Ignored (Why) Mar 4th Midwest Throwdown 2023
90 Chicago Win 11-9 5.14 6 4.28% Counts Mar 4th Midwest Throwdown 2023
118 Marquette Win 10-7 5.17 16 4.05% Counts Mar 4th Midwest Throwdown 2023
40 Colorado College Loss 4-13 -19.34 20 4.28% Counts (Why) Mar 5th Midwest Throwdown 2023
54 Northwestern Win 12-8 21.88 16 4.28% Counts Mar 5th Midwest Throwdown 2023
68 Wisconsin-Milwaukee Win 10-9 4.78 2 4.28% Counts Mar 5th Midwest Throwdown 2023
183 Minnesota-B Win 13-2 2.3 18 5.09% Counts (Why) Mar 25th Old Capitol Open
93 Iowa Win 8-7 -0.79 29 4.52% Counts Mar 25th Old Capitol Open
94 Saint Louis Win 10-7 12.46 8 4.81% Counts Mar 25th Old Capitol Open
145 Carthage Win 10-9 -14.52 40 5.09% Counts Mar 26th Old Capitol Open
93 Iowa Win 11-6 20.48 29 4.81% Counts (Why) Mar 26th Old Capitol Open
199 Nebraska Loss 8-9 -37.82 171 4.81% Counts Mar 26th Old Capitol Open
115 Michigan State Win 10-3 16.94 180 4.71% Counts (Why) Apr 1st Huck Finn1
92 Missouri S&T Loss 8-9 -14.14 51 5.1% Counts Apr 1st Huck Finn1
98 Kentucky Win 8-3 19.65 42 4.19% Counts (Why) Apr 1st Huck Finn1
112 Illinois Win 11-6 15.84 10 5.1% Counts (Why) Apr 1st Huck Finn1
85 Alabama Win 7-3 19.5 10 3.91% Counts (Why) Apr 2nd Huck Finn1
61 Emory Win 11-8 21.35 47 5.39% Counts Apr 2nd Huck Finn1
38 Purdue Loss 8-12 -13.45 0 5.39% Counts Apr 2nd Huck Finn1
49 Notre Dame Loss 10-13 -14.41 27 5.39% Counts Apr 2nd Huck Finn1
**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.