(6) #67 Carleton College (12-6)

1299.76 (26)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
145 UCLA-B Win 8-5 -5.64 90 6.6% Counts (Why) Feb 8th Stanford Open 2020
163 Sonoma State** Win 13-2 0 12 0% Ignored (Why) Feb 8th Stanford Open 2020
114 Pacific Lutheran Win 13-2 26.06 82 7.98% Counts (Why) Feb 8th Stanford Open 2020
140 Santa Clara Win 9-6 -6.03 232 7.09% Counts Feb 9th Stanford Open 2020
27 California-Davis Loss 4-5 18.63 22 5.49% Counts Feb 9th Stanford Open 2020
86 San Diego State University Loss 0-11 -57.3 18 7.32% Counts (Why) Feb 9th Stanford Open 2020
181 Macalester** Win 13-2 0 122 0% Ignored (Why) Feb 22nd Forever Winter 2020
80 St Olaf Loss 6-7 -16.29 59 7.34% Counts Feb 22nd Forever Winter 2020
- Michigan Tech Win 9-4 5.92 125 7.34% Counts (Why) Feb 22nd Forever Winter 2020
- Wisconsin-La Crosse** Win 12-2 0 275 0% Ignored (Why) Feb 22nd Forever Winter 2020
208 Nebraska** Win 10-1 0 407 0% Ignored (Why) Mar 7th Midwest Throwdown 2020
223 Wisconsin** Win 12-2 0 0% Ignored (Why) Mar 7th Midwest Throwdown 2020
45 Chicago Loss 7-8 8.92 26 8.77% Counts Mar 7th Midwest Throwdown 2020
22 Northwestern Loss 4-9 -9.78 20 8.17% Counts (Why) Mar 7th Midwest Throwdown 2020
117 Iowa State Win 12-5 27.16 29 9.47% Counts (Why) Mar 8th Midwest Throwdown 2020
80 St Olaf Win 7-6 3.94 59 8.17% Counts Mar 8th Midwest Throwdown 2020
71 Purdue Win 8-7 10.29 258 8.77% Counts Mar 8th Midwest Throwdown 2020
59 Washington University Loss 5-6 -5.12 69 7.51% Counts Mar 8th Midwest Throwdown 2020
**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.