() #10 Northeastern (22-0) NE 3

2134.33 (146)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
82 Central Florida** Win 7-2 0 148 0% Ignored (Why) Jan 28th Florida Winter Classic 2023
47 Florida Win 9-6 -12.69 142 4.87% Counts Jan 28th Florida Winter Classic 2023
46 Florida State Win 10-5 -4.44 136 4.87% Counts (Why) Jan 28th Florida Winter Classic 2023
210 Florida Tech** Win 13-0 0 203 0% Ignored (Why) Jan 28th Florida Winter Classic 2023
46 Florida State** Win 12-1 0 136 0% Ignored (Why) Jan 29th Florida Winter Classic 2023
216 Florida-B** Win 13-0 0 164 0% Ignored (Why) Jan 29th Florida Winter Classic 2023
203 Miami (Florida)** Win 13-0 0 159 0% Ignored (Why) Jan 29th Florida Winter Classic 2023
32 SUNY-Binghamton Win 8-6 -11.48 110 5.93% Counts Feb 25th Commonwealth Cup Weekend2 2023
89 Columbia** Win 13-1 0 158 0% Ignored (Why) Feb 25th Commonwealth Cup Weekend2 2023
59 Penn State** Win 13-3 0 119 0% Ignored (Why) Feb 25th Commonwealth Cup Weekend2 2023
14 Virginia Win 13-6 29.39 139 6.9% Counts (Why) Feb 25th Commonwealth Cup Weekend2 2023
69 Case Western Reserve** Win 13-1 0 134 0% Ignored (Why) Feb 26th Commonwealth Cup Weekend2 2023
36 Brown Win 10-7 -11.5 143 6.53% Counts Feb 26th Commonwealth Cup Weekend2 2023
14 Virginia Win 9-8 -5.5 139 6.53% Counts Feb 26th Commonwealth Cup Weekend2 2023
19 Yale Win 12-10 -8.17 219 6.9% Counts Feb 26th Commonwealth Cup Weekend2 2023
31 California Win 13-8 1.77 142 8.21% Counts Mar 18th Womens Centex1
18 Colorado State Win 13-11 -8.41 143 8.21% Counts Mar 18th Womens Centex1
33 Ohio State Win 13-4 8.91 145 8.21% Counts (Why) Mar 18th Womens Centex1
36 Brown Win 15-8 0.94 143 8.21% Counts (Why) Mar 19th Womens Centex1
31 California Win 15-6 11.06 142 8.21% Counts (Why) Mar 19th Womens Centex1
18 Colorado State Win 15-7 24.79 143 8.21% Counts (Why) Mar 19th Womens Centex1
44 Pennsylvania Win 13-8 -13.76 147 8.21% Counts Mar 19th Womens Centex1
**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.