(4) #147 Swarthmore (8-14)

594.68 (73)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
157 Boston College Win 15-4 24.19 71 4.5% Counts (Why) Feb 26th Bring The Huckus 12
65 Haverford Loss 7-12 1.11 55 4.5% Counts Feb 26th Bring The Huckus 12
140 Ithaca Loss 4-10 -22.7 76 3.93% Counts (Why) Feb 26th Bring The Huckus 12
236 College of New Jersey** Win 15-2 0 77 0% Ignored (Why) Feb 26th Bring The Huckus 12
157 Boston College Win 10-7 13.47 71 4.26% Counts Feb 27th Bring The Huckus 12
84 West Chester Loss 6-8 4.31 67 3.86% Counts Feb 27th Bring The Huckus 12
37 Wellesley** Loss 0-13 0 58 0% Ignored (Why) Mar 19th Jersey Devil
185 Princeton Win 11-0 17.57 77 4.91% Counts (Why) Mar 19th Jersey Devil
136 Rochester Win 10-7 23.48 85 5.06% Counts Mar 19th Jersey Devil
136 Rochester Loss 9-10 -4.2 85 5.35% Counts Mar 20th Jersey Devil
108 Connecticut Loss 5-10 -17.39 78 5.04% Counts Mar 26th Garden State 2022
84 West Chester Loss 6-10 -4.85 67 5.2% Counts Mar 26th Garden State 2022
80 Mount Holyoke Loss 6-12 -8.3 102 5.52% Counts Mar 26th Garden State 2022
65 Haverford Loss 3-10 -2.91 55 4.95% Counts (Why) Mar 27th Garden State 2022
233 Messiah** Win 11-3 0 72 0% Ignored (Why) Mar 27th Garden State 2022
65 Haverford Loss 2-15 -4.04 55 6.74% Counts (Why) Apr 16th Pennsylvania D III College Womens CC 2022
232 Dickinson** Win 13-4 0 71 0% Ignored (Why) Apr 16th Pennsylvania D III College Womens CC 2022
87 Lehigh Loss 10-11 19.87 80 6.74% Counts Apr 16th Pennsylvania D III College Womens CC 2022
120 Cedarville Loss 10-14 -19.07 71 7.57% Counts Apr 30th Ohio Valley D III College Womens Regionals 2022
87 Lehigh Loss 6-15 -16.39 80 7.57% Counts (Why) Apr 30th Ohio Valley D III College Womens Regionals 2022
181 Kenyon Win 8-7 -8.33 68 6.72% Counts May 1st Ohio Valley D III College Womens Regionals 2022
120 Cedarville Loss 11-12 3.34 71 7.57% 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.