(4) #52 Berry (18-1)

1469.13 (39)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
85 Richmond Loss 12-13 -19.35 27 5.29% Counts Mar 5th FCS D III Tune Up
186 Davidson Win 13-7 -3.66 42 5.29% Counts (Why) Mar 5th FCS D III Tune Up
72 Navy Win 13-9 14.73 69 5.29% Counts Mar 5th FCS D III Tune Up
134 Oberlin Win 13-7 7.46 51 5.29% Counts (Why) Mar 5th FCS D III Tune Up
170 Rochester Win 13-7 -0.52 10 5.29% Counts (Why) Mar 6th FCS D III Tune Up
109 Christopher Newport Win 13-8 9.31 52 5.29% Counts Mar 6th FCS D III Tune Up
212 Kenyon Win 13-8 -13.87 46 5.29% Counts Mar 6th FCS D III Tune Up
186 Davidson Win 15-11 -16.24 42 6.29% Counts Mar 26th Needle in a Ho Stack
190 Wake Forest Win 15-7 -3.56 35 6.29% Counts (Why) Mar 26th Needle in a Ho Stack
195 Georgia College** Win 15-6 0 13 0% Ignored (Why) Mar 26th Needle in a Ho Stack
109 Christopher Newport Win 14-11 -1.09 52 6.29% Counts Mar 27th Needle in a Ho Stack
280 High Point Win 15-7 -27.52 42 6.29% Counts (Why) Mar 27th Needle in a Ho Stack
116 Appalachian State Win 10-8 -5.95 46 6.12% Counts Mar 27th Needle in a Ho Stack
307 Embry-Riddle** Win 13-2 0 24 0% Ignored (Why) Apr 23rd Southeast D III College Mens CC 2022
139 Florida Tech Win 13-4 12.11 0 7.92% Counts (Why) Apr 23rd Southeast D III College Mens CC 2022
195 Georgia College** Win 13-4 0 13 0% Ignored (Why) Apr 23rd Southeast D III College Mens CC 2022
83 Union (Tennessee) Win 13-6 34.07 24 7.92% Counts (Why) Apr 24th Southeast D III College Mens CC 2022
195 Georgia College Win 15-10 -18.84 13 7.92% Counts Apr 24th Southeast D III College Mens CC 2022
83 Union (Tennessee) Win 15-7 34.07 24 7.92% Counts (Why) Apr 24th Southeast D III College Mens CC 2022
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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.