(6) #65 Liberty (12-8)

1314.23 (103)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
12 Virginia** Loss 1-13 0 10 0% Ignored (Why) Jan 25th Winta Binta Vinta Fest 2020
32 William & Mary Loss 7-12 -13.39 35 6.45% Counts Jan 25th Winta Binta Vinta Fest 2020
166 West Virginia Win 11-6 -13.79 156 6.1% Counts (Why) Jan 25th Winta Binta Vinta Fest 2020
107 Georgetown Win 10-6 13.61 84 5.92% Counts (Why) Jan 26th Winta Binta Vinta Fest 2020
12 Virginia** Loss 2-14 0 10 0% Ignored (Why) Jan 26th Winta Binta Vinta Fest 2020
32 William & Mary Loss 7-9 2.96 35 5.92% Counts Jan 26th Winta Binta Vinta Fest 2020
79 Temple Loss 9-10 -17.41 31 7.57% Counts Feb 15th Commonwealth Cup 2020 Weekend 1
219 Michigan-B** Win 13-1 0 123 0% Ignored (Why) Feb 15th Commonwealth Cup 2020 Weekend 1
139 Mary Washington Win 10-3 6.51 92 6.61% Counts (Why) Feb 15th Commonwealth Cup 2020 Weekend 1
34 James Madison Loss 5-13 -23.1 70 7.57% Counts (Why) Feb 16th Commonwealth Cup 2020 Weekend 1
101 Connecticut Win 8-6 3.13 93 6.5% Counts Feb 16th Commonwealth Cup 2020 Weekend 1
37 Boston University Win 10-9 30.25 75 7.57% Counts Feb 16th Commonwealth Cup 2020 Weekend 1
24 Ohio Loss 2-12 -10.25 71 7.26% Counts (Why) Feb 16th Commonwealth Cup 2020 Weekend 1
85 Haverford/Bryn Mawr Loss 7-9 -36.33 52 8.15% Counts Mar 7th Mash Up 2020
170 Rhode Island** Win 13-4 0 0% Ignored (Why) Mar 7th Mash Up 2020
110 Cincinnati Win 9-5 19.6 11 7.62% Counts (Why) Mar 7th Mash Up 2020
194 SUNY-Fredonia** Win 9-3 0 0% Ignored (Why) Mar 7th Mash Up 2020
155 Vermont-B Win 10-5 -7.16 7.89% Counts (Why) Mar 8th Mash Up 2020
85 Haverford/Bryn Mawr Win 13-6 45.79 52 8.88% Counts (Why) Mar 8th Mash Up 2020
231 RIT** Win 13-3 0 0% Ignored (Why) Mar 8th Mash Up 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.