(1) #81 Rochester (16-5)

1555.12 (215)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
162 Brandeis Win 11-10 -9.75 256 4.61% Counts Mar 1st D III River City Showdown 2025
33 Elon Loss 5-13 -15.09 238 4.61% Counts (Why) Mar 1st D III River City Showdown 2025
131 Kenyon Win 13-3 18.09 270 4.61% Counts (Why) Mar 1st D III River City Showdown 2025
241 Xavier Win 11-7 -8.22 269 4.49% Counts Mar 1st D III River City Showdown 2025
33 Elon Loss 8-12 -7.42 238 4.61% Counts Mar 2nd D III River City Showdown 2025
102 North Carolina-Asheville Loss 11-12 -10.64 158 4.61% Counts Mar 2nd D III River City Showdown 2025
78 Richmond Win 13-9 21.54 234 4.61% Counts Mar 2nd D III River City Showdown 2025
160 Ithaca Win 13-7 13.51 299 5.48% Counts (Why) Mar 22nd Salt City Classic
347 Rensselaer Polytech** Win 12-2 0 85 0% Ignored (Why) Mar 22nd Salt City Classic
146 SUNY-Binghamton Win 8-7 -7.5 156 4.87% Counts Mar 22nd Salt City Classic
76 Williams Win 8-7 8.31 207 4.87% Counts Mar 22nd Salt City Classic
30 Ottawa Loss 6-15 -16.36 39 5.48% Counts (Why) Mar 23rd Salt City Classic
97 SUNY-Buffalo Win 12-10 9.14 154 5.48% Counts Mar 23rd Salt City Classic
254 Colgate** Win 15-6 0 0% Ignored (Why) Apr 12th Western NY D III Mens Conferences 2025
328 SUNY-Cortland Win 15-8 -28.48 390 6.52% Counts (Why) Apr 12th Western NY D III Mens Conferences 2025
160 Ithaca Win 15-4 19.21 299 6.52% Counts (Why) Apr 13th Western NY D III Mens Conferences 2025
177 Hamilton Win 11-5 15.45 6.71% Counts (Why) Apr 26th Metro East D III College Mens Regionals 2025
160 Ithaca Win 11-8 3.25 299 7.31% Counts Apr 26th Metro East D III College Mens Regionals 2025
389 Stevens Tech** Win 13-1 0 204 0% Ignored (Why) Apr 26th Metro East D III College Mens Regionals 2025
160 Ithaca Win 15-6 21.75 299 7.31% Counts (Why) Apr 27th Metro East D III College Mens Regionals 2025
75 Wesleyan Loss 11-15 -26.59 168 7.31% Counts Apr 27th Metro East D III College Mens 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.