(10) #70 Mount Holyoke (11-6)

1134.02 (73)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
104 Connecticut Win 7-5 5.95 36 5% Counts Mar 26th Garden State 2022
83 West Chester Loss 6-9 -28.56 91 5.59% Counts Mar 26th Garden State 2022
143 Swarthmore Win 12-6 7.37 57 6.12% Counts (Why) Mar 26th Garden State 2022
61 Haverford Win 10-9 12.37 44 6.29% Counts Mar 27th Garden State 2022
45 Columbia Loss 5-8 -13.22 26 5.2% Counts Mar 27th Garden State 2022
199 Miami** Win 10-3 0 95 0% Ignored (Why) Mar 27th Garden State 2022
71 Amherst Loss 3-11 -41.77 110 6.48% Counts (Why) Apr 10th South New England D III College Womens CC 2022
129 Smith Loss 6-7 -32.65 144 5.84% Counts Apr 10th South New England D III College Womens CC 2022
26 Williams Loss 1-13 -12.91 45 7.06% Counts (Why) Apr 10th South New England D III College Womens CC 2022
- Worcester Polytechnic** Win 9-3 0 0% Ignored (Why) Apr 10th South New England D III College Womens CC 2022
71 Amherst Win 7-4 33.62 110 6.38% Counts (Why) Apr 30th New England D III College Womens Regionals 2022
129 Smith Win 9-4 14.79 144 6.94% Counts (Why) Apr 30th New England D III College Womens Regionals 2022
142 Stonehill Win 9-3 10.5 29 6.94% Counts (Why) Apr 30th New England D III College Womens Regionals 2022
26 Williams Win 8-7 44.71 45 7.46% Counts Apr 30th New England D III College Womens Regionals 2022
122 Bates Win 13-5 23.94 10 8.39% Counts (Why) May 1st New England D III College Womens Regionals 2022
84 Brandeis Win 9-8 5.07 12 7.94% Counts May 1st New England D III College Womens Regionals 2022
37 Wellesley Loss 4-15 -28.22 12 8.39% Counts (Why) May 1st New England D III College Womens Regionals 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.