(2) #303 Skidmore College (6-14)

298.24 (56)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
337 Siena Loss 5-8 -26.55 52 3.99% Counts Mar 26th New York Invite
132 Ithaca Loss 9-13 15.53 107 4.82% Counts Mar 26th New York Invite
248 Worcester Polytechnic Institute Loss 4-12 -13.93 90 4.63% Counts (Why) Mar 26th New York Invite
132 Ithaca** Loss 4-13 0 107 0% Ignored (Why) Mar 27th New York Invite
234 Amherst Loss 5-13 -12.28 60 4.82% Counts (Why) Mar 27th New York Invite
162 Massachusetts-Lowell** Loss 4-13 0 43 0% Ignored (Why) Apr 2nd Northeast Classic
247 SUNY-Albany Loss 6-8 0.65 43 4.38% Counts Apr 2nd Northeast Classic
235 Vermont-B Loss 3-13 -13.16 3 5.11% Counts (Why) Apr 2nd Northeast Classic
217 SUNY-Geneseo Loss 6-11 -7.38 56 4.83% Counts Apr 3rd Northeast Classic
344 Hartford Win 12-8 12.29 57 6.07% Counts Apr 23rd Hudson Valley D III College Mens CC 2022
180 Connecticut College Loss 6-10 2 61 5.57% Counts Apr 23rd Hudson Valley D III College Mens CC 2022
224 Army Loss 8-11 1.41 60 6.07% Counts Apr 23rd Hudson Valley D III College Mens CC 2022
210 Vassar Loss 6-12 -10.18 58 5.91% Counts Apr 23rd Hudson Valley D III College Mens CC 2022
320 Rensselaer Polytechnic Institute Win 11-10 3.58 57 6.07% Counts Apr 24th Hudson Valley D III College Mens CC 2022
337 Siena Win 14-7 25.68 52 6.07% Counts (Why) Apr 24th Hudson Valley D III College Mens CC 2022
364 New Haven Win 13-8 -7.48 55 6.07% Counts Apr 24th Hudson Valley D III College Mens CC 2022
320 Rensselaer Polytechnic Institute Win 12-10 11.59 57 6.43% Counts Apr 30th Metro East D III College Mens Regionals 2022
175 SUNY Cortland Loss 3-13 -3.36 55 6.43% Counts (Why) Apr 30th Metro East D III College Mens Regionals 2022
275 College of New Jersey Win 10-8 28.31 48 6.26% Counts May 1st Metro East D III College Mens Regionals 2022
183 Wesleyan Loss 2-15 -5.66 58 6.43% Counts (Why) 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.