(11) #369 SUNY-Albany-B (3-16)

-344.27 (42)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
360 Rutgers-B Loss 3-8 -25.79 42 5.94% Counts (Why) Feb 26th Bring The Huckus 12
373 Stevens Tech-B Win 7-5 13.42 41 6.07% Counts Feb 26th Bring The Huckus 12
357 Lehigh-B Loss 4-8 -21.51 38 6.07% Counts Feb 26th Bring The Huckus 12
311 Edinboro Loss 4-7 8.65 63 5.81% Counts Feb 26th Bring The Huckus 12
360 Rutgers-B Win 11-5 59.72 42 7.01% Counts (Why) Feb 27th Bring The Huckus 12
373 Stevens Tech-B Win 9-4 32.34 41 6.32% Counts (Why) Feb 27th Bring The Huckus 12
273 Connecticut-B** Loss 0-7 0 47 0% Ignored (Why) Feb 27th Bring The Huckus 12
336 SUNY Binghamton-B Loss 0-13 -12.73 41 9.63% Counts (Why) Mar 26th New York Invite
273 Connecticut-B** Loss 0-13 0 47 0% Ignored (Why) Mar 26th New York Invite
351 Cornell-B Loss 2-13 -28.18 40 9.63% Counts (Why) Mar 26th New York Invite
189 Vermont-C** Loss 0-13 0 53 0% Ignored (Why) Mar 26th New York Invite
314 Rensselaer Polytechnic Institute** Loss 0-13 0 34 0% Ignored (Why) Apr 2nd Northeast Classic
175 Massachusetts-C** Loss 2-13 0 28 0% Ignored (Why) Apr 2nd Northeast Classic
331 SUNY-Oneonta Loss 0-13 -11.81 35 10.2% Counts (Why) Apr 2nd Northeast Classic
273 Connecticut-B** Loss 4-13 0 47 0% Ignored (Why) Apr 23rd Metro East Dev College Mens CC 2022
351 Cornell-B Loss 7-11 -17.6 40 11.81% Counts Apr 23rd Metro East Dev College Mens CC 2022
355 Syracuse-B Loss 8-9 17.14 43 11.47% Counts Apr 23rd Metro East Dev College Mens CC 2022
338 SUNY-Stony Brook-B Loss 4-9 -15.77 41 10.03% Counts (Why) Apr 24th Metro East Dev College Mens CC 2022
305 SUNY-Binghamton-B** Loss 3-12 0 37 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.