(37) #252 SUNY-Cortland (5-6)

845.28 (50)

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# Opponent Result Effect % of Ranking Status Date Event
118 MIT Loss 2-13 -15.18 8.79% Mar 9th Atlantic City 9
77 Colby Loss 7-13 6.73 8.79% Mar 9th Atlantic City 9
335 College of New Jersey Win 12-11 -17.25 8.79% Mar 9th Atlantic City 9
122 Yale Loss 6-13 -15.97 8.79% Mar 9th Atlantic City 9
301 Salisbury Win 13-2 39.29 8.79% Mar 10th Atlantic City 9
201 Brown-B Loss 7-8 1.06 7.81% Mar 10th Atlantic City 9
95 Bates College Loss 0-13 -7.27 8.79% Mar 10th Atlantic City 9
339 Allegheny Win 13-2 33.63 10.45% Mar 31st Fredonia Round Robin 2019
339 Allegheny Win 9-6 10.92 9.28% Mar 31st Fredonia Round Robin 2019
373 Edinboro Win 13-4 13.41 10.45% Mar 31st Fredonia Round Robin 2019
267 SUNY-Fredonia Loss 6-9 -48.73 9.28% Mar 31st Fredonia Round Robin 2019
**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.