(6) #78 SUNY-Geneseo (17-3)

1088.75 (49)

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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
82 Lehigh Loss 8-9 -9.13 43 6.14% Counts Feb 26th Bring The Huckus 12
83 West Chester Win 15-10 30.17 91 6.49% Counts Feb 26th Bring The Huckus 12
154 Boston College Win 9-6 -5.56 58 5.77% Counts Feb 27th Bring The Huckus 12
82 Lehigh Loss 9-10 -9.68 43 6.49% Counts Feb 27th Bring The Huckus 12
83 West Chester Win 7-5 16.82 91 5.16% Counts Feb 27th Bring The Huckus 12
222 Massachusetts-B** Win 15-3 0 85 0% Ignored (Why) Apr 2nd Northeast Classic
194 Connecticut College** Win 15-5 0 81 0% Ignored (Why) Apr 2nd Northeast Classic
204 SUNY-Oneonta** Win 15-6 0 4 0% Ignored (Why) Apr 2nd Northeast Classic
96 Vermont-B Win 11-9 13.04 6 8.66% Counts Apr 3rd Northeast Classic
131 Ithaca Win 8-4 15.12 38 7.29% Counts (Why) Apr 9th Western NY D III College Womens CC 2022
187 Hamilton Win 9-4 -8.65 44 7.59% Counts (Why) Apr 9th Western NY D III College Womens CC 2022
130 Rochester Win 6-2 15.83 28 6.14% Counts (Why) Apr 9th Western NY D III College Womens CC 2022
204 SUNY-Oneonta** Win 8-2 0 4 0% Ignored (Why) Apr 9th Western NY D III College Womens CC 2022
131 Ithaca Win 10-5 21.61 38 9.7% Counts (Why) Apr 30th Metro East D III College Womens Regionals 2022
236 College of New Jersey** Win 13-0 0 15 0% Ignored (Why) Apr 30th Metro East D III College Womens Regionals 2022
130 Rochester Win 8-5 9.48 28 9.03% Counts (Why) Apr 30th Metro East D III College Womens Regionals 2022
194 Connecticut College** Win 11-4 0 81 0% Ignored (Why) Apr 30th Metro East D III College Womens Regionals 2022
94 Skidmore Loss 7-14 -80.94 115 10.92% Counts May 1st Metro East D III College Womens Regionals 2022
130 Rochester Win 10-8 -11.34 28 10.62% Counts May 1st Metro East D III College Womens Regionals 2022
**Blowout Eligible. Learn more about how this works here.

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.