(36) #184 Northeastern-B (10-8)

620.36 (228)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
239 Columbia-B Win 8-3 12.55 145 5.53% Counts (Why) Feb 16th Cherry Blossom Classic 2019
263 George Washington-B Win 11-3 0.14 418 6.52% Counts (Why) Feb 16th Cherry Blossom Classic 2019
164 Pittsburgh-B Win 9-3 47.38 17 5.88% Counts (Why) Feb 16th Cherry Blossom Classic 2019
240 Georgetown-B Win 8-4 10.59 3 5.65% Counts (Why) Feb 17th Cherry Blossom Classic 2019
226 Brown-B Win 8-4 18.04 91 5.65% Counts (Why) Feb 17th Cherry Blossom Classic 2019
164 Pittsburgh-B Loss 5-7 -10.14 17 5.65% Counts Feb 17th Cherry Blossom Classic 2019
150 Bowdoin Loss 3-7 -26.06 232 6.88% Counts (Why) Mar 23rd Live Free and Sky 2019
272 Boston College -B** Win 9-1 0 55 0% Ignored (Why) Mar 23rd Live Free and Sky 2019
221 Bentley Win 8-6 5.91 138 8.14% Counts Mar 23rd Live Free and Sky 2019
76 Rensselaer Polytech** Loss 3-11 0 290 0% Ignored (Why) Mar 23rd Live Free and Sky 2019
63 New Hampshire** Loss 2-11 0 111 0% Ignored (Why) Mar 24th Live Free and Sky 2019
170 Vermont-B Win 7-6 20.45 89 7.85% Counts Mar 24th Live Free and Sky 2019
150 Bowdoin Loss 2-10 -31.86 232 8.29% Counts (Why) Mar 24th Live Free and Sky 2019
248 Johns Hopkins University Win 8-6 -14.85 80 8.63% Counts Mar 30th Garden State 9
142 Amherst Loss 3-8 -27.34 52 7.82% Counts (Why) Mar 30th Garden State 9
159 SUNY-Albany Win 7-6 29.83 97 8.31% Counts Mar 31st Garden State 9
63 New Hampshire** Loss 5-13 0 111 0% Ignored (Why) Mar 31st Garden State 9
169 Rochester Loss 6-10 -36.79 232 9.22% Counts Mar 31st Garden State 9
**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.