(1) #38 Duke (14-7)

1590.76 (16)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
1 North Carolina** Loss 6-15 0 18 0% Ignored (Why) Jan 26th Carolina Kickoff 2024
78 Carleton College-CHOP Loss 14-15 -14.57 7 3.82% Counts Jan 27th Carolina Kickoff 2024
126 Lehigh Win 15-10 0.33 13 3.82% Counts Jan 27th Carolina Kickoff 2024
36 North Carolina-Charlotte Win 15-14 6.06 20 3.82% Counts Jan 27th Carolina Kickoff 2024
84 Appalachian State Win 14-11 1.96 40 3.82% Counts Jan 28th Carolina Kickoff 2024
29 South Carolina Loss 13-15 -4.81 52 3.82% Counts Jan 28th Carolina Kickoff 2024
16 Penn State Loss 9-12 -0.59 59 3.82% Counts Jan 28th Carolina Kickoff 2024
50 Alabama Win 13-10 12.09 3 4.81% Counts Feb 24th Easterns Qualifier 2024
16 Penn State Loss 6-13 -13.63 59 4.81% Counts (Why) Feb 24th Easterns Qualifier 2024
58 Maryland Win 12-7 18.85 25 4.81% Counts (Why) Feb 24th Easterns Qualifier 2024
76 Purdue Win 13-5 18.54 56 4.81% Counts (Why) Feb 24th Easterns Qualifier 2024
52 Virginia Tech Win 12-11 0.49 43 4.81% Counts Feb 25th Easterns Qualifier 2024
29 South Carolina Loss 12-15 -10.49 52 4.81% Counts Feb 25th Easterns Qualifier 2024
66 Virginia Loss 11-14 -25.79 111 4.81% Counts Feb 25th Easterns Qualifier 2024
36 North Carolina-Charlotte Win 11-10 7.71 20 4.81% Counts Feb 25th Easterns Qualifier 2024
97 Florida State Win 15-12 -2.92 0 6.43% Counts Mar 30th Atlantic Coast Open 2024
61 William & Mary Win 15-12 9.73 50 6.43% Counts Mar 30th Atlantic Coast Open 2024
165 RIT Win 15-8 -4.17 24 6.43% Counts (Why) Mar 30th Atlantic Coast Open 2024
73 Richmond Win 12-11 -6.97 20 6.43% Counts Mar 30th Atlantic Coast Open 2024
58 Maryland Win 15-13 4.56 25 6.43% Counts Mar 31st Atlantic Coast Open 2024
61 William & Mary Win 15-13 3.81 50 6.43% Counts Mar 31st Atlantic Coast Open 2024
**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.