(1) #152 North Carolina-B (9-9)

548.48 (48)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
119 Catholic Loss 4-6 -6.34 80 3.97% Counts Feb 19th Commonwealth Cup Weekend 1
164 Richmond Loss 2-8 -30.28 77 4.26% Counts (Why) Feb 19th Commonwealth Cup Weekend 1
61 Ohio State Loss 3-7 1.04 48 3.97% Counts (Why) Feb 19th Commonwealth Cup Weekend 1
183 Florida-B Win 6-5 -3.53 56 4.17% Counts Feb 20th Commonwealth Cup Weekend 1
189 Virginia-B Loss 7-8 -18.07 68 4.86% Counts Feb 20th Commonwealth Cup Weekend 1
173 Michigan-B Loss 5-6 -12.06 52 4.17% Counts Feb 20th Commonwealth Cup Weekend 1
230 Georgetown-B Win 7-6 -40.17 64 6.05% Counts Mar 26th Rodeo
56 Liberty Loss 7-8 37.99 46 6.49% Counts Mar 26th Rodeo
193 Wake Forest Win 9-1 21.46 59 6.05% Counts (Why) Mar 26th Rodeo
31 SUNY-Binghamton** Loss 1-7 0 137 0% Ignored (Why) Mar 26th Rodeo
59 St. Olaf Loss 6-9 14.7 61 6.49% Counts Mar 27th Rodeo
101 Massachusetts Loss 7-11 -8.6 65 7.11% Counts Mar 27th Rodeo
217 American-B Win 11-5 9.76 43 8.45% Counts (Why) Apr 23rd Atlantic Coast Dev College Womens CC 2022
212 George Washington-B Win 13-5 15.38 50 9.21% Counts (Why) Apr 23rd Atlantic Coast Dev College Womens CC 2022
230 Georgetown-B** Win 12-4 0 64 0% Ignored (Why) Apr 23rd Atlantic Coast Dev College Womens CC 2022
217 American-B Win 6-3 3.55 43 6.34% Counts (Why) Apr 24th Atlantic Coast Dev College Womens CC 2022
220 William & Mary-B Win 13-2 8.97 52 9.21% Counts (Why) Apr 24th Atlantic Coast Dev College Womens CC 2022
220 William & Mary-B Win 13-1 8.97 52 9.21% Counts (Why) Apr 24th Atlantic Coast Dev College Womens CC 2022
**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.