() #100 Vermont-B (17-5)

1393.49 (23)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
195 Amherst Win 8-6 -5.18 41 3.69% Counts Feb 11th UMass Invite 2023
80 Connecticut College Loss 6-10 -17.15 3 3.95% Counts Feb 11th UMass Invite 2023
315 Harvard-B** Win 12-3 0 43 0% Ignored (Why) Feb 11th UMass Invite 2023
160 Wesleyan Win 7-6 -5.77 82 3.56% Counts Feb 11th UMass Invite 2023
95 Massachusetts-B Win 13-9 20.1 55 4.3% Counts Feb 12th UMass Invite 2023
154 Massachusetts-Lowell Win 15-9 11.63 36 4.3% Counts Feb 12th UMass Invite 2023
80 Connecticut College Win 13-11 13.82 3 4.3% Counts Feb 12th UMass Invite 2023
144 Army Win 13-7 17.22 34 4.83% Counts (Why) Feb 25th Bring The Huckus1
95 Massachusetts-B Loss 8-10 -11.53 55 4.7% Counts Feb 25th Bring The Huckus1
263 Swarthmore** Win 13-1 0 33 0% Ignored (Why) Feb 25th Bring The Huckus1
165 Penn State-B Win 11-10 -8.62 58 4.83% Counts Feb 25th Bring The Huckus1
144 Army Win 12-10 1.02 34 4.83% Counts Feb 26th Bring The Huckus1
80 Connecticut College Loss 8-10 -9.07 3 4.7% Counts Feb 26th Bring The Huckus1
170 Ithaca Win 13-1 14.44 25 4.83% Counts (Why) Feb 26th Bring The Huckus1
165 Penn State-B Win 10-8 -1.6 58 4.7% Counts Feb 26th Bring The Huckus1
95 Massachusetts-B Loss 6-9 -23.68 55 5.73% Counts Apr 1st Fuego2
208 Rhode Island Win 12-5 7.37 10 6.18% Counts (Why) Apr 1st Fuego2
175 Rowan Win 9-5 10.76 89 5.53% Counts (Why) Apr 1st Fuego2
185 West Chester Win 8-7 -16.02 14 5.73% Counts Apr 1st Fuego2
66 Bowdoin Loss 9-10 3.18 29 6.44% Counts Apr 2nd Fuego2
119 College of New Jersey Win 11-10 1.98 70 6.44% Counts Apr 2nd Fuego2
160 Wesleyan Win 12-10 -2.98 82 6.44% Counts Apr 2nd Fuego2
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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.