(10) #301 Skidmore College (6-14)

354.63 (38)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
329 Siena Loss 5-8 -25.4 45 3.79% Counts Mar 26th New York Invite
111 Ithaca Loss 9-13 17.19 34 4.59% Counts Mar 26th New York Invite
223 Worcester Polytechnic Institute Loss 4-12 -11.66 21 4.4% Counts (Why) Mar 26th New York Invite
111 Ithaca** Loss 4-13 0 34 0% Ignored (Why) Mar 27th New York Invite
216 Amherst Loss 5-13 -11.5 36 4.59% Counts (Why) Mar 27th New York Invite
155 Massachusetts-Lowell Loss 4-13 -0.52 44 4.86% Counts (Why) Apr 2nd Northeast Classic
241 SUNY-Albany Loss 6-8 0.02 42 4.17% Counts Apr 2nd Northeast Classic
239 Vermont-B Loss 3-13 -15.19 76 4.86% Counts (Why) Apr 2nd Northeast Classic
204 SUNY-Geneseo Loss 6-11 -7.03 38 4.6% Counts Apr 3rd Northeast Classic
340 Hartford Win 12-8 11.69 34 5.78% Counts Apr 23rd Hudson Valley D III College Mens CC 2022
176 Connecticut College Loss 6-10 2.17 20 5.3% Counts Apr 23rd Hudson Valley D III College Mens CC 2022
207 Army Loss 8-11 1.57 39 5.78% Counts Apr 23rd Hudson Valley D III College Mens CC 2022
200 Vassar Loss 6-12 -9.54 33 5.62% Counts Apr 23rd Hudson Valley D III College Mens CC 2022
314 Rensselaer Polytechnic Institute Win 11-10 3.45 34 5.78% Counts Apr 24th Hudson Valley D III College Mens CC 2022
329 Siena Win 14-7 24.07 45 5.78% Counts (Why) Apr 24th Hudson Valley D III College Mens CC 2022
363 New Haven Win 13-8 -7.16 38 5.78% Counts Apr 24th Hudson Valley D III College Mens CC 2022
314 Rensselaer Polytechnic Institute Win 12-10 11.04 34 6.12% Counts Apr 30th Metro East D III College Mens Regionals 2022
167 SUNY Cortland Loss 3-13 -3.31 33 6.12% Counts (Why) Apr 30th Metro East D III College Mens Regionals 2022
272 College of New Jersey Win 10-8 26.33 39 5.96% Counts May 1st Metro East D III College Mens Regionals 2022
180 Wesleyan Loss 2-15 -5.28 35 6.12% 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.