(10) #192 Vassar (13-7)

1093.07 (300)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
160 Ithaca Loss 4-10 -21.06 299 4.36% Counts (Why) Mar 29th Northeast Classic 2025
235 Skidmore Loss 9-10 -15.28 297 4.99% Counts Mar 29th Northeast Classic 2025
212 SUNY-Albany Loss 6-8 -16.55 326 4.28% Counts Mar 29th Northeast Classic 2025
267 SUNY-Geneseo Win 10-7 5.26 329 4.72% Counts Mar 29th Northeast Classic 2025
244 College of New Jersey Win 11-7 14.1 247 4.85% Counts Mar 30th Northeast Classic 2025
160 Ithaca Win 11-10 13.78 299 4.99% Counts Mar 30th Northeast Classic 2025
336 Pennsylvania Western Win 13-3 3.35 285 4.99% Counts (Why) Mar 30th Northeast Classic 2025
235 Skidmore Win 11-7 15.35 297 4.85% Counts Mar 30th Northeast Classic 2025
247 Connecticut College Loss 10-11 -19.48 240 5.6% Counts Apr 12th Hudson Valley D III Mens Conferences 2025
347 Rensselaer Polytech Win 11-6 -4.76 85 5.29% Counts (Why) Apr 12th Hudson Valley D III Mens Conferences 2025
420 Union (New York)** Win 13-1 0 0% Ignored (Why) Apr 12th Hudson Valley D III Mens Conferences 2025
247 Connecticut College Win 15-9 18.5 240 5.6% Counts Apr 13th Hudson Valley D III Mens Conferences 2025
311 Hartford Win 13-7 5.7 5.6% Counts (Why) Apr 13th Hudson Valley D III Mens Conferences 2025
235 Skidmore Win 13-10 9.61 297 5.6% Counts Apr 13th Hudson Valley D III Mens Conferences 2025
75 Wesleyan Loss 7-15 -5.56 168 5.6% Counts (Why) Apr 13th Hudson Valley D III Mens Conferences 2025
244 College of New Jersey Win 8-5 14.42 247 5.2% Counts (Why) Apr 26th Metro East D III College Mens Regionals 2025
347 Rensselaer Polytech Win 8-4 -3.52 85 4.99% Counts (Why) Apr 26th Metro East D III College Mens Regionals 2025
75 Wesleyan Loss 5-13 -6.28 168 6.28% Counts (Why) Apr 26th Metro East D III College Mens Regionals 2025
177 Hamilton Loss 8-12 -24.42 6.28% Counts Apr 27th Metro East D III College Mens Regionals 2025
267 SUNY-Geneseo Win 11-6 16.63 329 5.94% Counts (Why) Apr 27th Metro East D III College Mens Regionals 2025
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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.