(7) #61 Haverford (19-3)

1193.44 (44)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
154 Boston College Win 15-8 -2.7 58 5.19% Counts (Why) Feb 26th Bring The Huckus 12
143 Swarthmore Win 12-7 -0.28 57 5.19% Counts (Why) Feb 26th Bring The Huckus 12
131 Ithaca Win 11-7 -0.56 38 5.05% Counts Feb 26th Bring The Huckus 12
236 College of New Jersey** Win 15-0 0 15 0% Ignored (Why) Feb 27th Bring The Huckus 12
83 West Chester Win 9-7 7.79 91 4.76% Counts Feb 27th Bring The Huckus 12
82 Lehigh Win 10-9 0.32 43 5.19% Counts Feb 27th Bring The Huckus 12
179 Princeton** Win 13-2 0 37 0% Ignored (Why) Mar 19th Jersey Devil
113 Catholic Win 9-7 -4.43 36 5.67% Counts Mar 19th Jersey Devil
37 Wellesley Win 9-7 30.74 12 5.67% Counts Mar 19th Jersey Devil
60 Cornell Loss 6-10 -29.52 33 5.67% Counts Mar 20th Jersey Devil
130 Rochester Win 13-8 2.2 28 6.17% Counts Mar 20th Jersey Devil
199 Miami** Win 15-2 0 95 0% Ignored (Why) Mar 26th Garden State 2022
45 Columbia Win 11-7 42.17 26 6.37% Counts Mar 26th Garden State 2022
143 Swarthmore Win 10-3 4.51 57 5.71% Counts (Why) Mar 27th Garden State 2022
70 Mount Holyoke Loss 9-10 -12.91 73 6.54% Counts Mar 27th Garden State 2022
143 Swarthmore Win 15-2 6.28 57 7.78% Counts (Why) Apr 16th Pennsylvania D III College Womens CC 2022
231 Dickinson** Win 15-6 0 41 0% Ignored (Why) Apr 16th Pennsylvania D III College Womens CC 2022
82 Lehigh Win 10-8 11.75 43 7.57% Counts Apr 16th Pennsylvania D III College Womens CC 2022
190 Oberlin** Win 15-0 0 72 0% Ignored (Why) Apr 30th Ohio Valley D III College Womens Regionals 2022
176 Kenyon** Win 12-5 0 113 0% Ignored (Why) Apr 30th Ohio Valley D III College Womens Regionals 2022
82 Lehigh Loss 8-15 -65.44 43 8.73% Counts May 1st Ohio Valley D III College Womens Regionals 2022
114 Cedarville Win 15-10 8.76 40 8.73% Counts May 1st Ohio Valley 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.