(2) #20 Northeastern (9-10)

2101.67 (107)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
137 Case Western Reserve** Win 15-2 0 3 0% Ignored (Why) Feb 10th Queen City Tune Up 2024
56 Florida Win 14-3 2.64 17 5.26% Counts (Why) Feb 10th Queen City Tune Up 2024
7 Tufts Loss 4-15 -10.07 52 5.26% Counts (Why) Feb 10th Queen City Tune Up 2024
34 Minnesota Win 15-5 17.6 16 5.26% Counts (Why) Feb 10th Queen City Tune Up 2024
12 Michigan Loss 11-15 -9.51 30 5.26% Counts Feb 11th Queen City Tune Up 2024
29 Wisconsin Win 8-7 -3.09 98 4.67% Counts Feb 11th Queen City Tune Up 2024
1 British Columbia** Loss 4-13 0 24 0% Ignored (Why) Mar 16th NW Challenge 2024
18 Victoria Win 13-12 10.92 32 7.02% Counts Mar 16th NW Challenge 2024
13 Western Washington Loss 12-13 -1.12 40 7.02% Counts Mar 16th NW Challenge 2024
8 Colorado Loss 4-13 -18.39 23 7.02% Counts (Why) Mar 17th NW Challenge 2024
10 Washington Loss 6-13 -26.64 21 7.02% Counts (Why) Mar 17th NW Challenge 2024
13 Western Washington Loss 11-13 -8.96 40 7.02% Counts Mar 17th NW Challenge 2024
90 Carnegie Mellon** Win 8-2 0 181 0% Ignored (Why) Mar 30th East Coast Invite 2024
39 Virginia Win 15-2 20.29 9 7.88% Counts (Why) Mar 30th East Coast Invite 2024
4 North Carolina Loss 6-15 -6.78 25 7.88% Counts (Why) Mar 30th East Coast Invite 2024
35 Ohio Win 13-5 25.36 23 7.88% Counts (Why) Mar 30th East Coast Invite 2024
7 Tufts Loss 7-15 -15.52 52 7.88% Counts (Why) Mar 31st East Coast Invite 2024
2 Vermont** Loss 3-15 0 50 0% Ignored (Why) Mar 31st East Coast Invite 2024
17 Pennsylvania Win 10-8 23.73 5 7.67% Counts 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.