() #49 Kenyon (20-1)

1498.8 (0)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
115 Cedarville Win 11-3 3.83 0 7.35% Counts (Why) Feb 15th 2025 Commonwealth Cup Weekend 1
211 Georgetown-B** Win 11-2 0 1 0% Ignored (Why) Feb 15th 2025 Commonwealth Cup Weekend 1
212 Georgia-B** Win 11-0 0 0 0% Ignored (Why) Feb 15th 2025 Commonwealth Cup Weekend 1
151 North Carolina-B** Win 11-2 0 0 0% Ignored (Why) Feb 15th 2025 Commonwealth Cup Weekend 1
149 Davidson** Win 8-1 0 0 0% Ignored (Why) Feb 16th 2025 Commonwealth Cup Weekend 1
187 Wake Forest** Win 10-0 0 0 0% Ignored (Why) Feb 16th 2025 Commonwealth Cup Weekend 1
127 Butler** Win 15-1 0 0 0% Ignored (Why) Mar 1st Huckleberry Flick 2025
213 Dayton** Win 13-2 0 1 0% Ignored (Why) Mar 1st Huckleberry Flick 2025
154 Xavier** Win 9-3 0 0 0% Ignored (Why) Mar 1st Huckleberry Flick 2025
127 Butler** Win 15-3 0 0 0% Ignored (Why) Mar 2nd Huckleberry Flick 2025
122 Cincinnati Win 15-4 1.26 0 8.99% Counts (Why) Mar 2nd Huckleberry Flick 2025
213 Dayton** Win 15-2 0 1 0% Ignored (Why) Mar 2nd Huckleberry Flick 2025
115 Cedarville Win 15-8 1.91 0 12.71% Counts (Why) Apr 12th Ohio D III Womens Conferences 2025
154 Xavier** Win 15-4 0 0 0% Ignored (Why) Apr 12th Ohio D III Womens Conferences 2025
199 Oberlin** Win 15-0 0 0 0% Ignored (Why) Apr 12th Ohio D III Womens Conferences 2025
118 Swarthmore Win 11-7 -14.94 0 13.89% Counts Apr 26th Ohio Valley D III College Womens Regionals 2025
154 Xavier** Win 15-1 0 0 0% Ignored (Why) Apr 26th Ohio Valley D III College Womens Regionals 2025
100 Scranton Win 15-1 26.55 0 14.27% Counts (Why) Apr 26th Ohio Valley D III College Womens Regionals 2025
97 Lehigh Win 14-4 31.87 0 14.27% Counts (Why) Apr 26th Ohio Valley D III College Womens Regionals 2025
36 Haverford/Bryn Mawr Loss 4-14 -79.83 1 14.27% Counts (Why) Apr 27th Ohio Valley D III College Womens Regionals 2025
97 Lehigh Win 14-7 29.02 0 14.27% Counts (Why) Apr 27th Ohio Valley D III College Womens Regionals 2025
**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.