(2) #82 Lehigh (17-7)

1074.24 (43)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
236 College of New Jersey** Win 15-2 0 15 0% Ignored (Why) Feb 26th Bring The Huckus 12
78 SUNY-Geneseo Win 9-8 6.15 49 4.22% Counts Feb 26th Bring The Huckus 12
83 West Chester Loss 4-9 -23.15 91 3.69% Counts (Why) Feb 26th Bring The Huckus 12
61 Haverford Loss 9-10 -0.27 44 4.46% Counts Feb 27th Bring The Huckus 12
131 Ithaca Win 13-12 -10.88 38 4.46% Counts Feb 27th Bring The Huckus 12
78 SUNY-Geneseo Win 10-9 6.51 49 4.46% Counts Feb 27th Bring The Huckus 12
84 Brandeis Loss 8-10 -12.98 12 4.6% Counts Mar 5th Philly Special
104 Connecticut Loss 8-9 -13.12 36 4.47% Counts Mar 5th Philly Special
33 Yale Loss 7-14 -9.93 30 4.73% Counts Mar 5th Philly Special
84 Brandeis Win 9-8 5.55 12 4.47% Counts Mar 6th Philly Special
200 Rutgers Win 9-7 -23.44 44 4.34% Counts Mar 6th Philly Special
33 Yale Loss 2-15 -10.78 30 4.73% Counts (Why) Mar 6th Philly Special
152 Harvard Win 7-4 1.11 96 4.53% Counts (Why) Apr 2nd Fuego
231 Dickinson** Win 10-4 0 41 0% Ignored (Why) Apr 2nd Fuego
149 NYU Win 10-1 8.39 43 5.2% Counts (Why) Apr 2nd Fuego
233 Messiah** Win 13-2 0 20 0% Ignored (Why) Apr 2nd Fuego
231 Dickinson** Win 13-4 0 41 0% Ignored (Why) Apr 3rd Fuego
149 NYU Win 14-4 9.68 43 5.95% Counts (Why) Apr 3rd Fuego
61 Haverford Loss 8-10 -9.98 44 6.51% Counts Apr 16th Pennsylvania D III College Womens CC 2022
231 Dickinson** Win 15-2 0 41 0% Ignored (Why) Apr 16th Pennsylvania D III College Womens CC 2022
143 Swarthmore Win 11-10 -20.15 57 6.68% Counts Apr 16th Pennsylvania D III College Womens CC 2022
114 Cedarville Win 14-4 28.97 40 7.5% Counts (Why) Apr 30th Ohio Valley D III College Womens Regionals 2022
143 Swarthmore Win 15-6 15.7 57 7.5% Counts (Why) Apr 30th Ohio Valley D III College Womens Regionals 2022
61 Haverford Win 15-8 55.48 44 7.5% Counts (Why) 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.