(7) #162 Massachusetts-Lowell (11-9)

901.86 (43)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
175 SUNY Cortland Loss 9-10 -9.15 55 4.9% Counts Feb 26th Bring The Huckus 12
295 Haverford Win 11-5 3.08 39 4.5% Counts (Why) Feb 26th Bring The Huckus 12
247 SUNY-Albany Loss 7-8 -18.85 43 4.36% Counts Feb 26th Bring The Huckus 12
289 Salisbury Win 13-4 4.21 45 4.9% Counts (Why) Feb 26th Bring The Huckus 12
314 Edinboro Win 13-6 -2.25 34 4.9% Counts (Why) Feb 27th Bring The Huckus 12
132 Ithaca Loss 4-7 -14.51 107 3.73% Counts Feb 27th Bring The Huckus 12
290 Stockton University -Upper Loss 5-8 -41.29 46 4.06% Counts Feb 27th Bring The Huckus 12
303 Skidmore College** Win 13-4 0 56 0% Ignored (Why) Apr 2nd Northeast Classic
247 SUNY-Albany Win 13-5 21.78 43 6.54% Counts (Why) Apr 2nd Northeast Classic
235 Vermont-B Win 13-6 24.64 3 6.54% Counts (Why) Apr 2nd Northeast Classic
192 Rowan Win 12-11 0.78 45 6.54% Counts Apr 3rd Northeast Classic
337 Siena Win 13-6 -13.26 52 6.54% Counts (Why) Apr 3rd Northeast Classic
183 Wesleyan Win 13-6 36 58 6.54% Counts (Why) Apr 3rd Northeast Classic
119 Connecticut Loss 9-12 -11.67 29 6.54% Counts Apr 3rd Northeast Classic
93 Harvard Loss 8-13 -16.34 37 7.35% Counts Apr 16th Metro Boston D I College Mens CC 2022
165 MIT Win 10-9 9.61 44 7.35% Counts Apr 16th Metro Boston D I College Mens CC 2022
18 Tufts** Loss 3-13 0 28 0% Ignored (Why) Apr 16th Metro Boston D I College Mens CC 2022
12 Northeastern** Loss 3-13 0 36 0% Ignored (Why) Apr 16th Metro Boston D I College Mens CC 2022
129 Boston University Win 12-9 39.14 31 7.35% Counts Apr 17th Metro Boston D I College Mens CC 2022
75 Boston College Loss 8-13 -9.67 34 7.35% Counts Apr 17th Metro Boston D I College Mens CC 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.