(11) #182 NYU (5-6)

998.75 (65)

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# Opponent Result Effect % of Ranking Status Date Event
169 Johns Hopkins Loss 7-10 -27.61 7.77% Feb 24th Oak Creek Challenge 2018
136 Ohio Loss 8-13 -28.65 8.21% Feb 24th Oak Creek Challenge 2018
270 American Win 12-8 13.4 8.21% Feb 24th Oak Creek Challenge 2018
179 SUNY-Binghamton Win 12-8 41.2 8.21% Feb 24th Oak Creek Challenge 2018
103 Delaware Loss 3-15 -24.57 8.21% Feb 25th Oak Creek Challenge 2018
135 Brandeis Loss 10-12 -5.55 8.21% Feb 25th Oak Creek Challenge 2018
250 Maryland-Baltimore County Win 15-9 25.54 8.21% Feb 25th Oak Creek Challenge 2018
117 Pennsylvania Loss 6-10 -25.01 10.06% Mar 31st New England Open 2018
227 Syracuse Win 12-8 34.31 10.96% Mar 31st New England Open 2018
286 Yale Win 13-10 -3.48 10.96% Mar 31st New England Open 2018
71 Bryant Loss 9-13 0.99 10.96% Mar 31st New England Open 2018
**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.