(11) #305 SUNY-Binghamton-B (7-14)

333.23 (37)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
158 MIT** Loss 3-13 0 29 0% Ignored (Why) Mar 5th No Sleep Till Brooklyn 2022
142 NYU Loss 7-13 5.82 39 5.27% Counts Mar 5th No Sleep Till Brooklyn 2022
97 Williams** Loss 5-13 0 32 0% Ignored (Why) Mar 5th No Sleep Till Brooklyn 2022
202 SUNY-Stony Brook Loss 7-10 2.17 39 4.98% Counts Mar 5th No Sleep Till Brooklyn 2022
275 Hofstra Loss 6-12 -22.69 40 5.13% Counts Mar 6th No Sleep Till Brooklyn 2022
120 Connecticut Loss 6-13 9.82 40 5.27% Counts (Why) Mar 6th No Sleep Till Brooklyn 2022
329 Siena Win 10-8 6.07 45 6.1% Counts Mar 26th New York Invite
111 Ithaca** Loss 5-13 0 34 0% Ignored (Why) Mar 26th New York Invite
223 Worcester Polytechnic Institute Loss 7-8 14.33 21 5.56% Counts Mar 26th New York Invite
170 Rochester Loss 3-11 -1.89 10 5.75% Counts (Why) Mar 27th New York Invite
336 SUNY Binghamton-B Win 12-7 21.61 41 6.26% Counts (Why) Mar 27th New York Invite
314 Rensselaer Polytechnic Institute Loss 9-11 -21.08 34 6.63% Counts Apr 2nd Northeast Classic
175 Massachusetts-C Loss 1-13 -3.01 28 6.63% Counts (Why) Apr 2nd Northeast Classic
331 SUNY-Oneonta Win 10-9 -4.02 35 6.63% Counts Apr 2nd Northeast Classic
241 SUNY-Albany Loss 6-13 -19.73 42 6.63% Counts (Why) Apr 3rd Northeast Classic
120 Connecticut** Loss 5-13 0 40 0% Ignored (Why) Apr 3rd Northeast Classic
273 Connecticut-B Loss 8-10 -7.67 47 7.68% Counts Apr 23rd Metro East Dev College Mens CC 2022
355 Syracuse-B Win 11-4 14.03 43 7.24% Counts (Why) Apr 23rd Metro East Dev College Mens CC 2022
338 SUNY-Stony Brook-B Win 9-8 -7.58 41 7.46% Counts Apr 23rd Metro East Dev College Mens CC 2022
351 Cornell-B Win 9-5 13.58 40 6.77% Counts (Why) Apr 24th Metro East Dev College Mens CC 2022
369 SUNY-Albany-B** Win 12-3 0 42 0% Ignored (Why) Apr 24th Metro East Dev College Mens CC 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.