() #290 SUNY-Oneonta (3-2)

528.78 ()

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
187 SUNY-Geneseo Loss 4-9 -30.04 74 18.45% Counts (Why) Apr 2nd Northeast Salvage
316 Rensselaer Polytech Win 9-6 56.97 210 19.82% Counts Apr 2nd Northeast Salvage
352 Siena Win 8-4 12.91 92 17.72% Counts (Why) Apr 2nd Northeast Salvage
357 SUNY-Albany-B Win 12-6 -17.57 230 21.71% Counts (Why) Apr 2nd Northeast Salvage
176 Syracuse Loss 2-13 -23.22 135 22.3% Counts (Why) Apr 2nd Northeast Salvage
**Blowout Eligible. Learn more about how this works here.


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.