(13) #217 SUNY-Geneseo (14-9)

699.49 (56)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
86 Maine Loss 6-10 1.36 49 3.79% Counts Mar 12th Mash Up
281 North Carolina State-B Win 6-4 3.05 45 2.99% Counts (Why) Mar 12th Mash Up
187 Bryant Win 9-7 15.07 97 3.79% Counts Mar 12th Mash Up
175 SUNY Cortland Loss 8-12 -12.54 55 4.13% Counts Mar 13th Mash Up
204 Georgia Tech-B Win 9-5 20.44 28 3.54% Counts (Why) Mar 13th Mash Up
256 Penn State-B Loss 7-10 -24.59 37 4.64% Counts Apr 2nd Northeast Classic
314 Edinboro Win 9-6 -1.04 34 4.36% Counts Apr 2nd Northeast Classic
246 Syracuse Win 12-9 13.4 42 4.91% Counts Apr 2nd Northeast Classic
303 Skidmore College Win 11-6 7.08 56 4.64% Counts (Why) Apr 3rd Northeast Classic
125 Yale Loss 3-12 -11.34 40 4.71% Counts (Why) Apr 3rd Northeast Classic
193 Vermont-C Loss 9-10 -1.95 36 4.91% Counts Apr 3rd Northeast Classic
298 Colgate Win 7-6 -10.21 55 4.3% Counts Apr 9th Western NY D III College Mens CC 2022
132 Ithaca Win 7-5 28.1 107 4.13% Counts Apr 9th Western NY D III College Mens CC 2022
367 SUNY-Fredonia** Win 15-2 0 51 0% Ignored (Why) Apr 9th Western NY D III College Mens CC 2022
338 SUNY-Oneonta** Win 10-4 0 56 0% Ignored (Why) Apr 9th Western NY D III College Mens CC 2022
174 Rochester Win 8-4 30.83 52 4.13% Counts (Why) Apr 10th Western NY D III College Mens CC 2022
175 SUNY Cortland Loss 8-9 1.29 55 4.92% Counts Apr 10th Western NY D III College Mens CC 2022
327 Hamilton Win 14-8 0.81 55 5.2% Counts (Why) Apr 10th Western NY D III College Mens CC 2022
298 Colgate Win 15-6 16.33 55 6.18% Counts (Why) Apr 30th Metro East D III College Mens Regionals 2022
132 Ithaca Loss 5-13 -18.19 107 6.18% Counts (Why) Apr 30th Metro East D III College Mens Regionals 2022
300 Union Win 13-10 -3.17 56 6.18% Counts Apr 30th Metro East D III College Mens Regionals 2022
174 Rochester Loss 8-14 -25.41 52 6.18% Counts May 1st Metro East D III College Mens Regionals 2022
275 College of New Jersey Loss 11-13 -30.91 48 6.18% Counts May 1st Metro East D III College Mens 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.