(9) #47 Williams (10-2)

1526.41 (35)

Click on column to sort  • 
# Opponent Result Effect % of Ranking Status Date Event
171 NYU Win 7-4 -27.37 8.49% Mar 9th No Sleep Till Brooklyn
99 MIT Win 9-5 13.78 9.58% Mar 9th No Sleep Till Brooklyn
44 Brown Win 9-7 35.05 10.24% Mar 9th No Sleep Till Brooklyn
183 Marist** Win 13-4 0 0% Ignored Mar 9th No Sleep Till Brooklyn
33 Bates Loss 4-7 -29.32 8.49% Mar 10th No Sleep Till Brooklyn
99 MIT Win 9-4 20.44 9.23% Mar 10th No Sleep Till Brooklyn
155 Appalachian State Win 10-6 -21.92 10.84% Mar 16th Bonanza 2019
82 Georgetown Win 10-4 39.15 10.32% Mar 16th Bonanza 2019
197 Christopher Newport** Win 10-3 0 0% Ignored Mar 16th Bonanza 2019
156 Wisconsin-Milwaukee Win 9-6 -30.84 10.5% Mar 16th Bonanza 2019
61 James Madison Win 11-9 21.17 11.82% Mar 17th Bonanza 2019
56 Pennsylvania Loss 7-8 -19.25 10.5% Mar 17th Bonanza 2019
**Blowout Eligible


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.