(16) #92 Middlebury (14-8)

1304.95 (159)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
27 Brown Loss 4-13 -2.1 5 5.53% Counts (Why) Mar 16th Womens Centex 2024
99 Chicago Loss 9-10 -12.3 31 5.53% Counts Mar 16th Womens Centex 2024
53 Texas Loss 7-13 -17.63 116 5.53% Counts Mar 16th Womens Centex 2024
153 Texas State Win 11-8 -4.57 151 5.53% Counts Mar 16th Womens Centex 2024
32 Central Florida Loss 2-15 -5.14 2 5.53% Counts (Why) Mar 17th Womens Centex 2024
48 Colorado College Win 8-7 22.39 95 4.91% Counts Mar 17th Womens Centex 2024
18 Colorado State** Loss 5-13 0 42 0% Ignored (Why) Mar 17th Womens Centex 2024
173 Bentley Win 9-0 1.23 151 4.85% Counts (Why) Mar 23rd New England Open 2024
109 Brandeis Win 7-6 -0.71 48 4.85% Counts Mar 23rd New England Open 2024
57 Connecticut Loss 1-12 -22.39 127 5.62% Counts (Why) Mar 23rd New England Open 2024
216 Northeastern-B** Win 13-3 0 587 0% Ignored (Why) Mar 23rd New England Open 2024
173 Bentley Win 10-3 1.3 151 5.12% Counts (Why) Mar 24th New England Open 2024
126 Massachusetts Loss 6-9 -37.37 125 5.21% Counts Mar 24th New England Open 2024
87 Bates Win 6-5 8.53 40 5.3% Counts Apr 13th North New England D III Womens Conferences 2024
185 Bowdoin** Win 13-3 0 67 0% Ignored (Why) Apr 13th North New England D III Womens Conferences 2024
- Colby** Win 14-1 0 0% Ignored (Why) Apr 13th North New England D III Womens Conferences 2024
145 Dartmouth Win 6-3 7.45 42 4.79% Counts (Why) Apr 13th North New England D III Womens Conferences 2024
185 Bowdoin** Win 13-4 0 67 0% Ignored (Why) May 4th New England D III College Womens Regionals 2024
145 Dartmouth Win 13-5 18.17 42 8.28% Counts (Why) May 4th New England D III College Womens Regionals 2024
86 Williams Win 10-9 13.9 10 8.28% Counts May 4th New England D III College Womens Regionals 2024
73 Wellesley Loss 9-10 -3.45 78 8.28% Counts May 4th New England D III College Womens Regionals 2024
109 Brandeis Win 9-3 33.91 48 6.85% Counts (Why) May 5th New England D III College Womens Regionals 2024
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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.