(2) #200 Princeton (1-5)

64.53 (184)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
113 Ithaca** Loss 2-13 0 218 0% Ignored (Why) Feb 25th Bring The Huckus1
187 Dickinson Loss 6-9 -55.14 139 19.26% Counts Feb 25th Bring The Huckus1
154 Syracuse Loss 2-8 -16.7 263 16.86% Counts (Why) Feb 25th Bring The Huckus1
- SUNY-Albany Win 7-1 94.57 140 19.81% Counts (Why) Mar 25th Garden State1
140 Rochester Loss 3-7 3.9 199 19.81% Counts (Why) Mar 25th Garden State1
173 Swarthmore Loss 6-9 -27.15 189 24.26% Counts Mar 25th Garden State1
**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.