() #7 Tufts (18-3) NE 2

2520.18 (52)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
137 Case Western Reserve** Win 15-0 0 3 0% Ignored (Why) Feb 10th Queen City Tune Up 2024
56 Florida** Win 15-3 0 17 0% Ignored (Why) Feb 10th Queen City Tune Up 2024
34 Minnesota Win 15-8 -9 16 6.18% Counts (Why) Feb 10th Queen City Tune Up 2024
20 Northeastern Win 15-4 11.96 107 6.18% Counts (Why) Feb 10th Queen City Tune Up 2024
25 Pittsburgh Win 12-7 -2.42 9 6.18% Counts (Why) Feb 11th Queen City Tune Up 2024
4 North Carolina Loss 9-12 -16.02 25 6.18% Counts Feb 11th Queen City Tune Up 2024
2 Vermont Loss 11-15 -7.36 50 6.18% Counts Feb 11th Queen City Tune Up 2024
16 Georgia Win 14-10 2.48 13 6.94% Counts Feb 24th Commonwealth Cup Weekend 2 2024
39 Virginia** Win 15-5 0 9 0% Ignored (Why) Feb 24th Commonwealth Cup Weekend 2 2024
22 Notre Dame Win 15-7 10.07 6 6.94% Counts (Why) Feb 24th Commonwealth Cup Weekend 2 2024
104 Massachusetts** Win 13-0 0 38 0% Ignored (Why) Feb 25th Commonwealth Cup Weekend 2 2024
41 SUNY-Binghamton Win 10-5 -15.95 76 6.17% Counts (Why) Feb 25th Commonwealth Cup Weekend 2 2024
17 Pennsylvania Win 9-8 -19 5 6.56% Counts Feb 25th Commonwealth Cup Weekend 2 2024
12 Michigan Win 13-5 29.19 30 6.94% Counts (Why) Feb 25th Commonwealth Cup Weekend 2 2024
12 Michigan Win 10-7 17.39 30 8.76% Counts Mar 30th East Coast Invite 2024
29 Wisconsin** Win 9-3 0 98 0% Ignored (Why) Mar 30th East Coast Invite 2024
61 Penn State** Win 15-2 0 69 0% Ignored (Why) Mar 30th East Coast Invite 2024
32 UCLA** Win 15-2 0 2 0% Ignored (Why) Mar 30th East Coast Invite 2024
35 Ohio Win 11-6 -16.84 23 8.76% Counts (Why) Mar 31st East Coast Invite 2024
4 North Carolina Loss 8-9 -2.19 25 8.76% Counts Mar 31st East Coast Invite 2024
20 Northeastern Win 15-7 18.53 107 9.26% Counts (Why) Mar 31st East Coast Invite 2024
**Blowout Eligible. Learn more about how this works here.

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.