(1) #28 Northeastern (11-11)

1775.83 (6)

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# Opponent Result Effect % of Ranking Status Date Event
27 LSU Win 9-8 4.63 3.52% Feb 8th Florida Warm Up 2019
49 Northwestern Loss 11-12 -10.17 3.72% Feb 8th Florida Warm Up 2019
31 Texas A&M Loss 9-12 -14.4 3.72% Feb 8th Florida Warm Up 2019
25 South Carolina Win 12-9 13.76 3.72% Feb 9th Florida Warm Up 2019
17 Minnesota Loss 9-13 -9.4 3.72% Feb 9th Florida Warm Up 2019
48 Kennesaw State Win 12-9 8.35 3.72% Feb 9th Florida Warm Up 2019
29 Texas-Dallas Loss 7-10 -14.35 3.52% Feb 9th Florida Warm Up 2019
25 South Carolina Win 11-6 20.33 3.52% Feb 10th Florida Warm Up 2019
7 Carleton College-CUT Loss 10-15 -4.28 3.72% Feb 10th Florida Warm Up 2019
57 Carnegie Mellon Win 10-9 -3.12 4.69% Mar 9th Classic City Invite 2019
22 Georgia Loss 10-11 -3.26 4.69% Mar 9th Classic City Invite 2019
81 Georgia Tech Win 13-7 11.26 4.69% Mar 9th Classic City Invite 2019
26 North Carolina-Wilmington Loss 10-13 -15.88 4.69% Mar 9th Classic City Invite 2019
55 Florida State Win 12-9 8.91 4.69% Mar 10th Classic City Invite 2019
20 Tufts Loss 9-10 -1.8 4.69% Mar 10th Classic City Invite 2019
2 Brown Loss 9-13 2.05 5.57% Mar 30th Easterns 2019 Men
24 Auburn Win 14-13 8.61 5.57% Mar 30th Easterns 2019 Men
47 Maryland Loss 10-12 -21.11 5.57% Mar 30th Easterns 2019 Men
11 North Carolina State Loss 8-13 -14.43 5.57% Mar 30th Easterns 2019 Men
43 Harvard Win 11-10 1.27 5.57% Mar 31st Easterns 2019 Men
26 North Carolina-Wilmington Win 14-8 31.94 5.57% Mar 31st Easterns 2019 Men
44 Virginia Win 12-11 1.21 5.57% Mar 31st Easterns 2019 Men
**Blowout Eligible

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.