(2) #73 St. Olaf (16-4)

1226.89 (95)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
183 Indiana** Win 11-1 0 162 0% Ignored (Why) Mar 4th Midwest Throwdown 2023
165 Truman State** Win 11-1 0 150 0% Ignored (Why) Mar 4th Midwest Throwdown 2023
207 Northwestern-B** Win 11-0 0 166 0% Ignored (Why) Mar 4th Midwest Throwdown 2023
122 Purdue Win 8-4 11.12 146 6.27% Counts (Why) Mar 4th Midwest Throwdown 2023
106 Marquette Win 10-6 17.25 179 7.24% Counts (Why) Mar 5th Midwest Throwdown 2023
45 Washington University Loss 1-13 -29.78 140 7.89% Counts (Why) Mar 5th Midwest Throwdown 2023
122 Purdue Win 8-4 11.12 146 6.27% Counts (Why) Mar 5th Midwest Throwdown 2023
56 Tennessee Loss 6-13 -50.37 128 9.38% Counts (Why) Mar 25th Needle in a Ho Stack2
94 Boston College Win 8-6 9.82 171 8.05% Counts Mar 25th Needle in a Ho Stack2
186 Richmond** Win 13-1 0 145 0% Ignored (Why) Mar 25th Needle in a Ho Stack2
114 Union (Tennessee) Win 6-5 -15.57 136 7.14% Counts Mar 25th Needle in a Ho Stack2
201 Wake Forest** Win 13-0 0 150 0% Ignored (Why) Mar 26th Needle in a Ho Stack2
16 Middlebury Loss 8-9 47.14 128 8.88% Counts Mar 26th Needle in a Ho Stack2
171 Illinois Win 7-4 -26.33 213 7.56% Counts (Why) Apr 1st Illinois Invite1
123 Denver Win 4-2 5.34 129 5.59% Counts (Why) Apr 1st Illinois Invite1
165 Truman State** Win 13-0 0 150 0% Ignored (Why) Apr 1st Illinois Invite1
106 Marquette Loss 5-6 -32.74 179 7.56% Counts Apr 1st Illinois Invite1
174 Wheaton (Illinois)** Win 13-2 0 27 0% Ignored (Why) Apr 2nd Illinois Invite1
123 Denver Win 9-3 17.39 129 8.22% Counts (Why) Apr 2nd Illinois Invite1
106 Marquette Win 13-1 35.86 179 9.94% Counts (Why) Apr 2nd Illinois Invite1
**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.