(12) #119 College of New Jersey (7-3)

1297.8 (70)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
144 Army Loss 8-9 -39.91 34 13.9% Counts Mar 26th Garden State1
263 Swarthmore** Win 12-5 0 33 0% Ignored (Why) Mar 26th Garden State1
300 Rutgers-B** Win 11-2 0 11 0% Ignored (Why) Mar 26th Garden State1
165 Penn State-B Win 7-6 -10.29 58 12.16% Counts Mar 26th Garden State1
223 SUNY-Stony Brook Win 11-8 -16.21 49 15.57% Counts Apr 1st Fuego2
160 Wesleyan Win 9-5 53.35 85 13.36% Counts (Why) Apr 1st Fuego2
279 New Hampshire** Win 11-1 0 28 0% Ignored (Why) Apr 1st Fuego2
95 Massachusetts-B Loss 4-11 -79.34 55 14.29% Counts (Why) Apr 2nd Fuego2
124 Towson Win 12-6 98.35 66 15.15% Counts (Why) Apr 2nd Fuego2
100 Vermont-B Loss 10-11 -5.42 23 15.57% Counts Apr 2nd Fuego2
**Blowout Eligible. Learn more about how this works here.


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.