() #365 Virginia-B (2-5)

410.94 (590)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
372 Rutgers-B Win 11-5 67.88 39 10.96% Counts (Why) Mar 2nd G Dub Fyre Fest 2019
334 James Madison-B Loss 7-10 -42.03 44 14.23% Counts Mar 30th I 85 Rodeo 2019
300 High Point Loss 10-11 25 18 15.04% Counts Mar 30th I 85 Rodeo 2019
338 Wake Forest Win 10-8 66.1 85 14.64% Counts Mar 30th I 85 Rodeo 2019
260 South Carolina-B Loss 9-11 29.63 15.04% Counts Mar 31st I 85 Rodeo 2019
389 Cornell-B Loss 9-13 -98.2 34 15.04% Counts Mar 31st I 85 Rodeo 2019
349 William & Mary-B Loss 8-11 -51.54 106 15.04% Counts Mar 31st I 85 Rodeo 2019
**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.