() #139 Rutgers (13-15)

792.55 (227)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
243 Columbia-B** Win 7-1 0 34 0% Ignored (Why) Mar 8th Strong Island Invitational
93 NYU Win 5-4 12.48 1 2.73% Counts Mar 8th Strong Island Invitational
185 SUNY-Stony Brook Win 6-3 7.67 78 2.73% Counts (Why) Mar 8th Strong Island Invitational
90 Williams Loss 5-8 -4.33 220 3.29% Counts Mar 8th Strong Island Invitational
93 NYU Loss 6-7 6.59 1 3.29% Counts Mar 9th Strong Island Invitational
185 SUNY-Stony Brook Win 13-5 13.49 78 3.97% Counts (Why) Mar 9th Strong Island Invitational
176 Bentley Win 8-7 -3.96 98 4.2% Counts Mar 29th New England Open 2025
206 Clark Win 11-1 5.31 30 4.33% Counts (Why) Mar 29th New England Open 2025
174 New Hampshire Win 8-3 14.85 177 3.67% Counts (Why) Mar 29th New England Open 2025
91 SUNY-Buffalo Win 6-4 24.46 200 3.43% Counts (Why) Mar 29th New England Open 2025
148 Boston University Win 9-6 15.31 256 4.2% Counts Mar 30th New England Open 2025
131 Harvard Loss 6-7 -3.43 243 3.91% Counts Mar 30th New England Open 2025
174 New Hampshire Loss 0-7 -28.77 177 3.43% Counts (Why) Mar 30th New England Open 2025
91 SUNY-Buffalo Loss 0-7 -9.81 200 3.43% Counts (Why) Mar 30th New England Open 2025
79 Columbia Loss 4-5 11.42 289 3.65% Counts Apr 12th Eastern Metro East D I Womens Conferences 2025
64 Connecticut Loss 5-7 8.74 249 4.21% Counts Apr 12th Eastern Metro East D I Womens Conferences 2025
262 Rowan** Win 7-1 0 0% Ignored (Why) Apr 12th Eastern Metro East D I Womens Conferences 2025
104 Yale Loss 4-9 -16.14 141 4.39% Counts (Why) Apr 12th Eastern Metro East D I Womens Conferences 2025
79 Columbia Loss 5-11 -8.88 289 4.87% Counts (Why) Apr 13th Eastern Metro East D I Womens Conferences 2025
243 Columbia-B** Win 15-0 0 34 0% Ignored (Why) Apr 13th Eastern Metro East D I Womens Conferences 2025
185 SUNY-Stony Brook Win 7-3 13.05 78 3.85% Counts (Why) Apr 13th Eastern Metro East D I Womens Conferences 2025
79 Columbia Loss 2-13 -10.98 289 5.95% Counts (Why) Apr 26th Metro East D I College Womens Regionals 2025
34 Cornell** Loss 3-11 0 328 0% Ignored (Why) Apr 26th Metro East D I College Womens Regionals 2025
93 NYU Loss 5-11 -16.24 1 5.46% Counts (Why) Apr 26th Metro East D I College Womens Regionals 2025
161 Syracuse Loss 7-8 -14.19 210 5.29% Counts Apr 26th Metro East D I College Womens Regionals 2025
93 NYU Loss 3-7 -12.68 1 4.32% Counts (Why) Apr 27th Metro East D I College Womens Regionals 2025
91 SUNY-Buffalo Loss 6-11 -13.31 200 5.63% Counts Apr 27th Metro East D I College Womens Regionals 2025
161 Syracuse Win 10-8 8.2 210 5.79% Counts Apr 27th Metro East D I College Womens Regionals 2025
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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.