(2) #26 Notre Dame (14-5) GL 1

1688.33 (132)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
46 Florida State Win 9-8 -5.57 136 5.86% Counts Feb 11th Queen City Tune Up1
1 North Carolina** Loss 5-15 0 141 0% Ignored (Why) Feb 11th Queen City Tune Up1
62 William & Mary Win 13-6 12.48 136 6.19% Counts (Why) Feb 11th Queen City Tune Up1
27 Minnesota Loss 9-10 -8.45 138 6.19% Counts Feb 11th Queen City Tune Up1
38 Chicago Win 10-8 9.08 135 6.03% Counts Feb 12th Queen City Tune Up1
45 Washington University Win 12-5 24.7 140 5.94% Counts (Why) Feb 12th Queen City Tune Up1
30 South Carolina Loss 6-15 -46.87 133 6.95% Counts (Why) Feb 25th Commonwealth Cup Weekend2 2023
65 Carnegie Mellon Win 15-7 13.86 115 6.95% Counts (Why) Feb 25th Commonwealth Cup Weekend2 2023
56 Tennessee Win 15-4 18.83 128 6.95% Counts (Why) Feb 25th Commonwealth Cup Weekend2 2023
30 South Carolina Win 11-7 31.87 133 6.76% Counts Feb 26th Commonwealth Cup Weekend2 2023
32 SUNY-Binghamton Loss 10-11 -12.08 110 6.95% Counts Feb 26th Commonwealth Cup Weekend2 2023
40 Georgia Win 11-10 -2.44 149 6.95% Counts Feb 26th Commonwealth Cup Weekend2 2023
35 Michigan Win 8-7 3.7 145 6.17% Counts Feb 26th Commonwealth Cup Weekend2 2023
204 South Florida** Win 13-1 0 8 0% Ignored (Why) Mar 11th Tally Classic XVII
86 Clemson Win 10-5 -2.08 126 6.93% Counts (Why) Mar 11th Tally Classic XVII
210 Florida Tech** Win 13-0 0 203 0% Ignored (Why) Mar 11th Tally Classic XVII
167 Jacksonville State** Win 13-1 0 132 0% Ignored (Why) Mar 11th Tally Classic XVII
38 Chicago Loss 13-14 -20.82 135 7.8% Counts Mar 12th Tally Classic XVII
86 Clemson Win 10-7 -16.9 126 7.38% Counts Mar 12th Tally Classic XVII
**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.